Startseite Serum biomarkers in the early detection of necrotizing enterocolitis: a systematic review
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Serum biomarkers in the early detection of necrotizing enterocolitis: a systematic review

  • Sara Pimenta ORCID logo EMAIL logo , Susana Pissarra , Paulo Soares , Inês Azevedo und Joana Pereira-Nunes
Veröffentlicht/Copyright: 27. Juni 2025

Abstract

Background

Necrotizing enterocolitis (NEC) is a severe gastrointestinal disease with high morbidity and mortality that predominantly affects preterm infants. Early diagnosis remains challenging due to nonspecific symptoms and delayed detection of radiological signs.

Content

This systematic review provides an updated overview of the available evidence on serum biomarkers for early NEC detection, focusing on their diagnostic accuracy and clinical utility. A structured search was conducted in MEDLINE, Scopus, and web of science, identifying 40 studies evaluating biomarkers across various categories, including hematological indices, acute phase reactants, immunological markers, tissue damage and tissue repair markers, and metabolic markers.

Summary

Our findings highlight intestinal fatty acid-binding protein (I-FABP) as a promising biomarker for NEC prediction within the first 24 h of life. Ischemia-modified albumin (IMA) and certain multi-marker panels also showed high diagnostic accuracy. Despite these promising results, small sample sizes and heterogeneity in study design, biomarker thresholds, and patient populations limit immediate clinical implementation.

Outlook

Future multicenter studies are essential to validate promising biomarkers, particularly I-FABP and IMA, and establish standardized cut-off values. Integrating biomarkers into multi-marker panels, alongside clinical and non-invasive approaches, may improve early NEC detection, enhance diagnostic accuracy, and guide timely interventions to optimize neonatal outcomes.

Introduction

Necrotizing enterocolitis (NEC) is a neonatal gastrointestinal emergency characterized by intestinal inflammation and necrosis. This life-threatening condition predominantly affects preterm infants, although it can also occur in full-term newborns [1], [2], [3], [4], [5]. The incidence varies from 2 to 7 % in neonates born before 32 weeks, increasing to 5–22 % in neonates under 1000 g birth weight [6].

While the exact cause of NEC remains unclear, risk factors include prematurity, low birth weight, perinatal asphyxia, and formula feeding [3], [4], [5, 7]. NEC has also been associated with the upregulation of downstream signaling pathways of Toll-like receptor-4 (TLR-4) and a hyperinflammatory state, which leads to intestinal epithelial cell damage and impaired barrier function [3], [4], [5, 7].

The Modified Bell’s staging criteria remains the most widely used staging system for NEC. Based on clinical, radiologic, and laboratory findings, it categorizes the disease into three progressive stages: from early non-specific signs (stage I), through imaging-confirmed disease (stage II), to severe systemic involvement and intestinal perforation (stage III), with each stage further subdivided based on radiographic findings [1], 4], 5].

Approximately one-quarter of neonates with NEC require acute surgical intervention due to bowel perforation, clinical deterioration despite maximal medical therapy or failure to recover [8]. Alarmingly, NEC accounts for one in 10 neonatal deaths [9]. Furthermore, about half of NEC survivors experience long-term complications, including increased risk of neurodevelopmental impairment, poor growth, intestinal failure, and short bowel syndrome [8], 10], 11].

NEC can progress rapidly from the onset of initial symptoms to a fully established disease, with potentially fatal outcomes occurring within 24–48 h. Consequently, achieving an accurate diagnosis in the earliest stages could facilitate timely intervention, improving patient outcomes, and preventing fatal consequences [12].

Diagnostic inaccuracy, whether resulting from failure to identify affected infants or from the misclassification of unaffected neonates, may lead to delayed intervention or to unnecessary clinical measures such as withholding enteral feeds and antibiotic use, each with potential adverse consequences in this vulnerable population. This underscores the need for diagnostic tools with both high sensitivity and specificity [13].

In this context, several serum biomarkers have been investigated as potential tools for early detection [14]. However, previous systematic reviews have highlighted their limited role in NEC diagnosis [15], [16], [17], [18]. In light of the growing body of recent evidence, the present systematic review aims to provide an updated overview of the evidence on serum biomarkers, emphasizing their diagnostic accuracy and clinical utility in the early detection of NEC.

Methods

Search

A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [19].

MEDLINE (PubMed), SCOPUS, and Web of Science databases were systematically searched on November 22nd of 2024 using the following terms: marker, biomarker, necrotizing enterocolitis, necrotising enterocolitis, NEC (Table S1).

Study selection

The inclusion criteria were human studies assessing the diagnostic accuracy of serum biomarkers for detecting NEC in preterm and full-term neonates with a confirmed or suspected diagnosis of NEC (Bell stage I, II, and III), published between January 2014 and November 2024. Temporal restriction was applied to the literature search to ensure the most relevant and up-to-date studies were included.

Articles were excluded if they lacked sufficient data on diagnostic accuracy, did not provide any criteria for diagnosing NEC, or were written in languages other than English. Only studies published in English were included due to resource limitations and the predominance of relevant literature in this language. Duplicate articles, comments, literature reviews, systematic reviews, meeting abstracts, and case-reports were also excluded.

The reference lists of relevant systematic reviews and meta-analyses were reviewed to identify potentially eligible studies. A manual search for additional relevant studies was also conducted using references from the included articles.

After removing duplicates, two independent authors (S.Prediction and J.N.) conducted the eligibility assessment. Discrepancies between the reviewers were addressed through discussion. In case of persistent disagreement, the third reviewer (I.A.) was consulted, and a final decision was reached by consensus. The initial phase of the analysis involved a comprehensive review of all article titles and abstracts to identify relevant studies, using the Rayyan platform for this purpose. The next phase consisted of a thorough evaluation of the full texts of the selected articles.

Data collection process and data items

As in the selection phase, data extraction was performed by two independent reviewers (S.P. and J.N.). The following information was collected from each included study, when available: first author’s surname, publication year, country, study design, study population (i.e. Total number of participants, including number of cases and controls, demographic and/or clinical characteristics), characteristics of controls, target Bell stage(s), timing of blood sample collection, cut-off value(s) and marker performance, including sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). Studies that did not specify the included Bell stages but reported the use of the Modified Bell’s Staging Criteria for diagnosing NEC were assumed to incorporate Bell’s stages I, II, and III.

Risk of bias assessment

The risk of bias and quality of the studies included in this review was assessed using the Quality Assessment of Studies of Diagnostic Accuracy-Revised (QUADAS-2) [20]. Two authors (S.P. and J.N.) independently evaluated the risk of bias across four domains: patient selection, index test, reference standard, and flow and timing. Concerns regarding applicability were also assessed for the first three domains. Each domain was classified as having a low, high, or unclear risk of bias or applicability concern. Traffic-light and summary plots were further developed with robvis (visualization tool) [21].

Results

Study selection

A total of 3,532 articles were identified through database searches: 1,116 in MEDLINE, 1,382 in Scopus, and 1,034 in Web of Science. After removing 1761 duplicates, 1771 articles remained for initial screening. After title and abstract reviewing of these records, 82 articles were selected for full-text screening. Ultimately, a total of 40 articles that met the inclusion criteria were included in this systematic review (Figure 1). Some of the studies excluded focused only on evaluating the predictive value of serum markers for surgical intervention and/or death instead of the outcome of this study: assessing biomarkers for early diagnosis of NEC [22], [23], [24], [25].

Figure 1: 
PRISMA 2020 flow diagram for new systematic reviews which included searches of databases and registers only. Source: page MJ, et al. BMJ 2021;372:n71. Doi: 10.1136/bmj.n7.
Figure 1:

PRISMA 2020 flow diagram for new systematic reviews which included searches of databases and registers only. Source: page MJ, et al. BMJ 2021;372:n71. Doi: 10.1136/bmj.n7.

Study characteristics

The characteristics of the included studies are presented in Tables 15. These studies were conducted across several countries, were published between January 2014 and November 2024, and included 5,610 neonates. All 40 studies were observational, including 15 cohort studies, 22 case-control studies, 2 cross-sectional and 1 case-series. Control groups included asymptomatic neonates, neonates with differential diagnosis (e.g. Sepsis, feeding intolerance) or neonates with a different Bell stage. Respectively, Bell stage I was analyzed in 16, Bell stage II in 36 and Bell stage III in 39 articles. Blood samples were collected at the time of symptom presentation in 23 studies [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], while in two studies samples were performed before symptom onset [49], 50], three after diagnosis [51], [52], [53], two at the time of diagnosis [54], 55], three at hospital admission [56], [57], [58], one at the time of admission for Bell stage I and at the time of surgery for Bell stage III [59], two in the first 24 h of life and at the time of diagnosis [60], 61], and one study either before or after diagnosis [62]. Three studies did not specify the timing of blood sample collection [63], [64], [65].

Table 1:

Hematological indices.

Marker Author, publication year Country Study design Population (cases/controls) Control subjects’ characteristics Target stage, s Timing of blood sample collection Cut-off values Sensitivity, % Specificity, % AUC
WBC Zhou, 2021 [58] China Cohort n=109 (45/64); preterm Asymptomatic (jaundice) Bell stage I At hospital admission >9.74 × 10 9/L 46.67 100.00 0.685
Cohort n=72 (27/45); preterm Bell stage I Bell stage ≥II At hospital admission >9.98 × 109/L 88.89 57.78 0.711
Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisa (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 15.25 × 10 9/L 31.0 93.3 0.595
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 8.270 × 10 9/L 86.2 63.3 0.720
Yang, 2019 [51] China Cross-sectional n=161 (103/58); 28w≤GA≤34w Asymtomaticb Bell stage ≥I After diagnosis (within 24 h) N/A 96.5 26.8 0.574
Cross-sectional n=75 (41/34); 28w≤GA≤34w Bell stage I Bell stage II After diagnosis (within 24 h) N/A 68.3 70.0 0.650
Cross-sectional n=62 (34/28); 28w≤GA≤34w Bell stage II Bell stage III After diagnosis (within 24 h) N/A 63.2 75.0 0.612
Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 6.14 × 10 9/L 39.02 98.36 0.637
AMC Tajalli, 2022 [50] Iran Retrospective

Case-control
n=160 (80/80); GA<37w Asymptomatic (matched for GA, BW, date of admission, and age of diagnosis) Bell stage ≥II Before symptom onset N/A N/A N/A 0.693
Remon, 2014 [38] USA Retrospective

Case-control
n=251 (60/191); BW<1500 g Feeding intoleranced (not caused by NEC) (matched for GA, BW and date of admission) Bell stage ≥II At symptom onset Reduction>20 % 70 71 0.76
AMC Moroze, 2024 [36] USA Retrospective

Cohort
n=130; GA<32w; Symptomatice (final diagnosis different from NEC) Bell stage ≥I At symptom onset (over 72 h after) Reduction>50 % 42 78 0.570
Retrospective

Cohort
n=130; GA<32w; Bell stage I or No-NEC Bell stage ≥II At symptom onset (within 72 h) Reduction>32 % 67 69 0.711
Retrospective

Cohort
n=130; GA<32w; Bell stage I Bell stage ≥II At symptom onset (within 72 h) Increase<24 % 85 65 0.78
Retrospective

Cohort
n=130; GA<32w; Symptomatice (final diagnosis different from NEC) Bell stage ≥II At symptom onset (within 72 h) Decrease>32 % 67 66 0.68
Desiraju, 2020 [29] USA Retrospective

Case-control
n=105 (76/29); GA<33w Symptomatic (final diagnosis different from NEC) Bell stage ≥II At symptom onset Reduction 50 % 51 93 0.81
Retrospective

Case-control
n=76 (15/61); GA<33w Bell stage II Bell stage III At symptom onset Reduction 75 % 73 87 0.83
Neutrophil count Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 53 % 57.63 86.21 0.765
Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2,500 g Sepsisa (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 70.65 % 79.3 46.7 0.613
Cross-sectional n=59 (30/29); GA<37w; BW<2,500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 58.85 % 96.6 60.0 0.730
Lymphocyte count Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 38 % 66.10 80.36 0.782
NLR Yang, 2019 [51] China Cross-sectional n=161 (103/58); 28w≤GA≤34 w Asymtomaticb Bell stage ≥I After diagnosis (within 24 h) N/A 70.1 82.9 0.812
Cross-sectional n=75 (41/34); 28w≤GA≤34w Bell stage I Bell stage II After diagnosis (within 24 h) N/A 97.6 72.5 0.890
Cross-sectional n=62 (34/28); 28w≤GA≤34 w Bell stage II Bell stage III After diagnosis (within 24 h) N/A 84.2 77.5 0.886
Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1.36 66.67 82.64 0.781
Platelet count Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2,500 g Sepsisa (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 123.5 × 10 9/L 48.3 90.0 0.694
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 241.50 × 10 9/L 79.3 66.7 0.682
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 237.5 × 10 9/L 91.7 55.6 0.808
Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 363.00 × 10 9/L 70.73 64.52 0.729
Luo, 2019 [48] China Case-control n=58 (29/29); preterm Asymptomatic (matched for age, GA and BW) Bell stage ≥II At symptom onset (within 6 h) ≤157,109/L 69.34 82.87 N/A
MVP Cai, 2022 [32] China Retrospective

Cohort
n=75 (18/57); GA<37w Bell stage≤II Bell stage III At symptom onset 11.15 fL 78 74 0.829
Meng, 2024 [37] China Retrospective cohort n=122 (43/79); GA≤37w Bell stage≤II Bell stage III At symptom onset 9.395 fL 96.2 32.6 0.850
MVP+PCT Cai, 2022 [32] China Retrospective

Cohort
n=75 (18/57); GA<37w Bell stage≤II Bell stage III At symptom onset 10.80 fL +18.57 ng/mL 90 78 0.895
Meng, 2024 [37] China Retrospective cohort n=122 (43/79); GA≤37w Bell stage≤II Bell stage III At symptom onset 0.221 84.8 93 0.935
  1. WBC, white blood cells; AMC, absolute monocyte count; NLR, neutrophil/lymphocyte ratio; MVP, mean platelet volume; PCT, procalcitonin; HSEO-FPIES, highly suspected early onset food protein-induced enterocolitis syndrome; USA, United States of America; NEC, necrotizing enterocolitis; GA, gestational age; BW, birthweight; N/A=not available. aDiagnosis based on clinical manifestations and positive blood or cerebrovascular fluid cultures and not gastrointestinal symptoms such as abdominal distension, diarrhea or bloody stool at the onset. bIncluded cases of neonatal intracranial hemorrhage, neonatal swallowing syndrome, hemolytic disease of the newborn and neonatal wet lung syndrome. cBloody stools, vomiting, or abdominal distension. dPresence of ≥2 of the following criteria: abdominal distension, pre-feeding residuals ≥30 % of the feeding volume, emesis, diarrhea, or bloody stools, resulting in radiological evaluation and temporary cessation of feedings. eNeonates suspected of NEC, who received two days of antibiotics and resumed enteral feeds with normal imaging were classified as not having NEC.

Table 2:

Acute phase reactants.

Marker Author, publication year Country Study design Population (cases/controls) Control subjects’ characteristics Target stage, s Timing of blood sample collection Cut-off values Sensitivity, % Specificity, % AUC
CRP Zhang, 2021 [52] China Case-control n=138 (69/69); 26w≤GA≤42w and 500 g≤BW≤ 4200 g Asymptomatic (matched for GA, sex, and weight) Bell stage ≥I After diagnosis (within 2 h) ≥7.38 mg/L 39.1 92.4 0.655
Zhou, 2021 [58] China Cohort n=109 (45/64); preterm Asymptomatic (jaundice) Bell stage I At hospital admission >10.54 mg/L 60.00 93.75 0.740
Cohort n=72 (27/45); preterm Bell stage I Bell stage ≥II At hospital admission >27.56 mg/L 81.48 100.00 0.915
Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisa (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 24.92 mg/L 58.6 70 0.564
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 12.530 mg/L 100 80.0 0.917
Shah, 2017 [47] USA Case-control n=53 (14/39); neonates admitted to NICU with feeding intoleranceb Bell stage I or SIP Bell stage ≥II At symptom onset <4 mg/L 100 64.7 0.65
Liu, 2024 [40] China Cohort n=70 (30/40); GA<32w Symptomaticc (final diagnosisd different from NEC); (matched for GA, postnatal age, and sex) Bell stage ≥II At symptom onset >0.575 mg/dL 63.3 52.5 0.656
Yang, 2019 [51] China Cross-sectional n=161 (103/58); 28w≤GA≤34w Asymtomatice Bell stage ≥I After diagnosis (within 24 h) N/A 93.0 31.7 0.650
Cross-sectional n=75 (41/34); 28w≤GA≤34w Bell stage I Bell stage II After diagnosis (within 24 h) N/A 73.2 75.0 0.747
Cross-sectional n=62 (34/28); 28w≤GA≤34 w Bell stage II Bell stage III After diagnosis (within 24 h) N/A 89.5 65.0 0.825
Ng, 2019 [28] China Cohort n=300 (35/265); preterm Sepsis or asymptomatic Bell stage ≥II At symptom onset (after 24 h) 10 mg/L 92 55 N/A
Shen, 2024 [41] China Case-control n=108 (42/66); preterm Asymptomatic Bell stage ≥II At symptom onset 6.25 mg/L 76.2 57.6 0.690
Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticf HSEO-FPIES Bell stage ≥II At symptom onset 8.00 mg/L 64.10 94.64 0.800
Elfarargy, 2019 [63] Egypt Case-control n=40 (20/20); neonates admitted to NICU Asymptomatic Bell stage ≥I N/A 2.89 mg/L 90 90 0.954
PCT Zhou, 2021 [58] China Cohort n=109 (45/64); preterm Asymptomatic (jaundice) Bell stage I At hospital admission >0.831 ng/mL 55.56 100.00 0.775
Cohort n=72 (27/45); preterm Bell stage I Bell stage ≥II At hospital admission >1.42 ng/mL 81.48 95.56 0.914
Elfarargy, 2019 [63] Egypt Case-control n=40 (20/20); neonates admitted to NICU Asymptomatic Bell stage ≥I N/A 9.35 ng/mL 90 95 0.976
Cai, 2022 [32] China Retrospective

Cohort
n=75 (18/57); GA<37w Bell stage≤II Bell stage III At symptom onset 8.09 ng/mL 88 56 0.706
Meng, 2024 [37] China Retrospective cohort n=122 (43/79); GA≤37w Bell stage≤II Bell stage III At symptom onset 7.635 ng/mL 88.6 86 0.919
Liebe, 2023 [62] USA Retrospective

Case-control
n=572 (49/523); patients admitted to the hospital Asymptomatic Bell stage ≥I Before or after diagnosis (within 72 h) N/A N/A N/A 0.84
Retrospective

Case-control
n=572 (33/523); patients admitted to the hospital Asymptomatic Bell stage ≥II Before or after diagnosis (within 72 h) N/A N/A N/A 0.89
IaIp Shah, 2017 [47] USA Case-control n=53 (14/39); neonates admitted to NICU with feeding intoleranceb Bell stage I or SIP Bell stage ≥II At symptom onset <207 mg/L 100 88.2 0.98
FGG dimer Tao, 2015 [42] USA Case-control n=60 (40/20); GA≤33w Sepsis Bell stage ≥II At symptom onset Not definedg 62.5 100 0.958
Case-control n=64 (40/24); GA≤33w Asymptomatic Bell stage ≥II At symptom onset Not definedg 62.5 91.67 0.91
OPG Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsish (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 8.782 NPX 82.8 60 0.708
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 8.508 NPX 100 66.7 0.830
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 9.365 NPX 61.5 94.1 0.851
TRAIL Dong, 2023 [35] China Cross-sectional n=59 (30/29); G<37w; BW<2500 g Sepsish (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 5.414 NPX 82.8 70 0.738
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 5.279 NPX 96.6 66.7 0.793
  1. CRP, C-reactive protein; PCT, procalcitonin; IaIp, inter-alpha inhibitor protein; OPG, osteoprotegerin; TRAIL, TNF-related apoptosis-inducing ligand; HSEO-FPIES, highly suspected early onset food protein-induced enterocolitis syndrome; SIP, spontaneous intestinal perforation; NICU, neonatal intensive care unit; USA, United States of America; NEC, necrotizing enterocolitis; GA, gestational age; BW, birthweight; NPX, Normalized Protein eXpression; aDiagnosis based on clinical manifestations and positive blood or cerebrovascular fluid cultures and not gastrointestinal symptoms such as abdominal distension, diarrhea or bloody stool at the onset. bAbdominal distention, abdominal tenderness, presence of blood in stool and/or increased gastric residuals. cElevated gastric residuals, abdominal swelling, and occult and/or gross bloody stool. dIncluded cases of late-onset sepsis, severe pneumonia, milk protein allergy, heart failure, gastroesophageal reflux, and feeding intolerance. eIncluded cases of neonatal intracranial hemorrhage, neonatal swallowing syndrome, hemolytic disease of the newborn and neonatal wet lung syndrome. fBloody stools, vomiting, or abdominal distension. gDefined by semiquantitative method (immunoblot). hDiagnosis based on clinical manifestations and positive blood or cerebrovascular fluid cultures and not gastrointestinal symptoms such as abdominal distension, diarrhea or bloody stool at the onset.

Table 3:

Immunological markers.

Marker Author, publication year Country Study design Population (cases/controls) Control subjects’ characteristics Target stage, s Timing of blood sample collection Cut-off values Sensitivity, % Specificity, % AUC
TNF-α Lodha, 2017 [46] Canada Case-control n=70 (12/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage ≥II At symptom onset N/A N/A N/A 0.5202
Case-control n=70 (5/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage III At symptom onset N/A 100 8.7 N/A
TGF-β Maheshwari, 2014 [49] USA, Denmark Retrospective

Cohort
n=997 (104/893); preterm and 401 g≤BW≤1,000 g Asymptomatic Bell stage ≥II Before symptom onset <1,380 pg/mL 61 64 0.67
Retrospective

Cohort
n=997 (104/893); preterm and 401 g≤BW≤1000 g Asymptomatic Bell stage ≥II Before symptom onset (D1 or D3 post-natal) <1,380 pg/mL 68 46 N/A
Retrospective

Cohort
n=997 (104/893); preterm and 401 g≤BW≤1000 g Asymptomatic Bell stage ≥II Before symptom onset (D7 post-natal) <1,380 pg/mL 64 56 N/A
Retrospective

Cohort
n=997 (104/893); preterm and 401 g≤BW≤1000 g Asymptomatic Bell stage ≥II Before symptom onset (D14 or D21 post-natal) <1,380 pg/mL 40 74.4 N/A
Retrospective

Cohort
n=997 (104/893); preterm and 401 g≤BW≤1000 g Asymptomatic Bell stage ≥II Before symptom onset (cumulative)b N/A N/A N/A 0.71
Almonaem, 2022 [33] Egypt Case-control n=102 (52/50); GA<32w and BW<1500 g Asymptomatic (matched for age and sex) Bell stage ≥I At symptom onset ≤996.3 pg/mL 80 65 0.738
IL-6 Lodha, 2017 [46] Canada Case-control n=70 (12/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage ≥II At symptom onset N/A N/A N/A 0.7278
Case-control n=70 (5/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage III At symptom onset N/A 83 78 N/A
Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 201.70 pg/mL 44.64 98.04 0.761
IL-6+IL-8 Lodha, 2017 [46] Canada Case-control n=70 (12/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage ≥II At symptom onset N/A N/A N/A 0.8051
IL-8 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 8.786 NPX 89.7 53.3 0.744
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 6.870 NPX 96.6 86.7 0.907
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 9.334 NPX 61.5 88.2 0.778
Benkoe, 2014a [26] Austria Case-control n=29 (15/14); BW<2000g Asymptomatic (matched for GA, BW and age at diagnosis) Bell stage ≥I At symptom onset N/A N/A N/A 0.99
Lodha, 2017 [46] Canada Case-control n=70 (12/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage ≥II At symptom onset N/A N/A N/A 0.7768
Case-control n=70 (5/58); GA<34w and BW<1500 g Asymptomatic or feeding intolerancea Bell stage III At symptom onset N/A 60 97 N/A
IL-8+OPG+TRAIL +CXCL1+TSLP+MCP-4+TNFSF14+IL-24+MMP-10+LIF+CCL20 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) N/A 76.9 86.7 0.881
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) N/A 96.6 90.0 0.972
IL-8+OPG+MCP-4+IL-24+LIF+CCL20 Dong, 2023 [35] China Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) N/A 92.3 100 0.977
IL-8+IL-24+CCL20 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) N/A N/A N/A 0.782
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) N/A N/A N/A 0.909
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) N/A N/A N/A 0.919
IL-18 Elfarargy, 2019 [63] Egypt Case-control n=40 (20/20); neonates admitted to NICU Asymptomatic Bell stage ≥I N/A 71.2 pg/mL 85 85 0.935
IL-24 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 0.113 NPX 88.5 66.7 0.781
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) −0.147 NPX 89.7 73.3 0.844
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 1.50 NPX 61.5 76.5 0.735
IL-27 Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL 88.37 75.81 0.878
IL-27+IL-6 Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL + 201.70 pg/mL 52.27 98.46 0.898
Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL and/or 201.70 pg/mL 94.32 72.31 0.898
IL-27+CRP Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL + 8.00 mg/L 60.23 98.46 0.903
Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL and/or 8.00 mg/L 94.32 69.23 0.903
IL-27+WBC Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL + 6.14 × 10 9/L 31.82 98.46 0.837
Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL and/or 6.14 × 10 9/L 88.64 70.77 0.837
IL-27+NLR Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL + 1.36 64.77 95.38 0.893
Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL and/or 1.36 96.59 61.54 0.893
IL-27+PLT Qi, 2021 [30] China Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL + 363.00 × 109/L 64.77 92.31 0.838
Cohort n=149 (87/62); symptomaticc HSEO-FPIES Bell stage ≥II At symptom onset 1,055.17 pg/mL and/or 363.00 × 109/L 94.32 44.62 0.838
Neutrophil CD64 Zhang, 2021 [52] China Case-control n=138 (69/69); 26w≤GA≤42w; 500 g≤BW≤4200 g Asymptomatic (matched for GA, sex, and weight) Bell stage ≥I After diagnosis (within 2 h) ≥0.71e 82.7 48.0 0.707
Neutrophil CD11b Zhang, 2021 [52] China Case-control n=138 (69/69); 26w≤GA≤42w; 500 g≤BW≤4,200 g Asymptomatic (matched for GA, sex, and weight) Bell stage ≥I After diagnosis (within 2 h) ≥1.94e 50.8 82.6 0.658
Anti-myosin autoantibodies Chen, 2023 [34] China Cohort n=51 (38/13); preterm Asymptomatic (matched for GA and sex) Bell stage ≥I At symptom onset (within 48 h) 14.68 ng/mL 81.58 76.93 0.8856
Cohort n=30 (17/13); preterm Asymptomatic (matched for GA and sex) Bell stage I At symptom onset (within 48 h) N/A N/A N/A 0.9457
Cohort n=24 (11/13); preterm Asymptomatic (matched for GA and sex) Bell stage II At symptom onset (within 48 h) N/A N/A N/A 0.8322
Cohort n=23 (10/13); preterm Asymptomatic (matched for GA and sex) Bell stage III At symptom onset (within 48 h) N/A N/A N/A 0.8423
ENA-78 Elfarargy, 2019 [63] Egypt Case-control n=40 (20/20); neonates admitted to NICU Asymptomatic Bell stage ≥I N/A 159.67 pg/mL 90 95 0.978
CXCL1 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 10.511 NPX 79.3 73.3 0.774
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 11.023 NPX 93.1 56.7 0.787
TSLP Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) −0.213 NPX 79.3 66.7 0.751
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) −0.177 NPX 96.6 63.3 0.814
MCP-4 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 15.354 NPX 69.0 73.3 0.724
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 15.661 NPX 51.7 90.0 0.737
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 15.50 NPX 92.3 35.3 0.690
TNFSF14 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 5.422 NPX 93.1 53.3 0.731
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 5.024 NPX 72.4 70.0 0.675
CCL20 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsisd (matched for GA, BW and onset age) Bell stage ≥II At symptom onset (within 12 h) 10.421 NPX 72.4 60.0 0.699
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage ≥II At symptom onset (within 12 h) 9.994 NPX 96.6 66.7 0.851
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 11.50 NPX 61.5 100 0.887
CCL16 Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage ≥I At the time of diagnosis N/A N/A N/A 0.744
CXCL6 Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA ≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage ≥I At the time of diagnosis N/A N/A N/A 0.802
MICA Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage ≥I At the time of diagnosis N/A N/A N/A 0.802
IGHA1

IGHA2
Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage ≥I At the time of diagnosis N/A N/A N/A 0.826
  1. TNF- α, tumor necrosis factor-α; TGF-β, transforming growth factor-β; IL∼, interleukin; OPG, osteoprotegerin; TRAIL, TNF-related apoptosis-inducing ligand; CXCL1, C–X–C motif chemokine 1; TSLP, thymic stromal lymphopoietin; MCP-4, monocyte chemotactic protein- 4; TNFSF14=tumor necrosis factor ligand superfamily member 14; MMP-10, matrix metalloproteinase-10; LIF, leukemia inhibitory factor; CCL20=C–C motif chemokine 20; CRP=C-reactive protein; WBC, white blood cells; NLR, neutrophil/lymphocyte ratio; PLT, platelet count; ENA-78, epithelial neutrophil activating peptide-78; CCL16=C-C motif chemokine ligand 16; CXCL6=C-X-C motif chemokine 6; MICA=MHC, class I polypeptide-related sequence A; IGHA1IGHA2=immunoglobulin heavy constant alpha 1 and 2 heterodimer; HSEO-FPIES, highly suspected early onset food protein-induced enterocolitis syndrome; NPX, Normalized Protein eXpression; GA, gestational age; BW, birthweight; USA, United States of America; N/A=not available. aPersistent gastric aspirates of >50 % of the feed volume with or without increased abdominal girth in the absence of culture positive sepsis or radiographic evidence of NEC, during a period of 48 h bCombined values of TGF-β, levels measured at different time points (D1, D3, D7, D14 and/or D21 post-natal). cBloody stools, vomiting, or abdominal distension. dDiagnosis based on clinical manifestations and positive blood or cerebrovascular fluid cultures and not gastrointestinal symptoms such as abdominal distension, diarrhea or bloody stool at the onset. eIndex based on mean fluorescence intensity in flow cytometry.

Table 4:

Tissue damage and tissue repair markers.

Marker Author, publication year Country Study design Population (cases/controls) Control subjects’ characteristics Target Stage, s Timing of blood sample collection Cut-off values Sensitivity, % Specificity, % AUC
I-FABP Zhou, 2021 [58] China Cohort n=109 (45/64); preterm Asymptomatic (jaundice) Bell stage I At hospital admission >2.195 ng/mL 62.22 87.50 0.800
Cohort n=72 (27/45); preterm Bell stage I Bell stage≥II At hospital admission >5.60 ng/mL 81.48 100.00 0.899
 Liu, 2024 [40] China Cohort n=70 (30/40); GA<32w Symptomatica (final diagnosisb different from NEC); (matched for gestational age, postnatal age, and sex) Bell stage≥II At symptom onset >2.54 ng/mL 76.7 87.5 0.897
Al-banna, 2020 [61] Egypt Case-control n=48 (24/24); GA<35w; BW<2500 g Asymptomatic (matched for age and sex) Bell stage≥I Before diagnosis (D0 post-natal) ≥3.2 ng\ml 95.8 95.8 0.97
Case-control n=48 (24/24); GA<35w; BW<2500 g Asymptomatic (matched for age and sex) Bell stage≥I At the time of diagnosis ≥9.2 ng\ml 95.8 100 0.99
Coufal, 2016 [44] Czech republic Cohort n=40 (24/16); neonates admitted to pediatric surgery; bell stage IAc Sepsis Bell stage≥II At symptom onset 4.1 ng/mL 38 92 N/A
Cohort n=36 (24/12); neonates admitted to pediatric surgery Asymptomatic Bell stage≥II At symptom onset N/A 31 100 N/A
Abdel-Haie, 2017 [60] Egypt Case-series n=28 (18/10); GA≤35w Asymptomatic (final diagnosis different from NEC) Bell stage≥I Before diagnosis (D0 post-natal) ≥7.75 ng/mL 94.4 100 0.99
Case-series n=28 (18/10); GA≤35w Asymptomatic (final diagnosis different from NEC) Bell stage≥I At the time of diagnosis ≥37.95 ng/mL 100 100 N/A
Case-series n=28 (18/10); GA≤35w Bell stage I Bell stage≥II At the time of diagnosis ≥131.8 ng/mL 100 90 N/A
Benkoe, 2014a [26] Austria Case-control n=29 (15/14); BW<2000g Asymptomatic (matched for GA, BW and age at diagnosis) Bell stage≥I At symptom onset N/A N/A N/A 0.81
Schurink, 2015 [43] Netherlands Cohort n=17; 24w≤GA≤36w; 570 g≤BW≤2400 g Symptomaticd (final diagnosise different from NEC bell stage≥II) Bell stage≥II At symptom onset (within 8 h) 9 ng/mL 80 86 N/A
Cohort n=20; 24w≤GA≤36 w; 570 g≤BW≤2400 g Symptomaticd (final diagnosise different from NEC bell stage≥II) Bell stage≥II At symptom onset (after 8–16 h) 11 ng/mL 69 86 N/A
Cohort n=19; 24w≤GA≤36w; 570 g≤BW≤2400 g Symptomaticd (final diagnosise different from NEC bell stage≥II) Bell stage≥II At symptom onset (after 16–24 h) 10 ng/mL 64 88 N/A
Cohort n=27; 24w≤GA≤36w; 570 g≤BW≤2400 g Symptomaticd (final diagnosise different from NEC bell stage≥II) Bell stage≥II At symptom onset (after 24–36 h) 7 ng/mL 53 90 N/A
Cohort n=25; 24w≤GA≤36w; 570 g≤BW≤2400 g Symptomaticd (final diagnosise different from NEC bell stage≥II) Bell stage≥II At symptom onset (after 36–48 h) 2 ng/mL 67 86 N/A
Cohort n=30; 24w≤GA≤36w; 570 g≤BW≤2400 g Symptomaticd (final diagnosise different from NEC bell stage≥II) Bell stage≥II At symptom onset (after 48 h) 3 ng/mL 67 75 N/A
Shaaban, 2021 [31] Egypt Case-control n=80 (40/40); GA<35w; BW<2000g Asymptomatic (matched for GA and BW) Bell stage≥I At symptom onset N/A N/A N/A 0.92
Huo, 2021 [57] China Case-control n=405 (106/299); neonates admitted to the hospital Asymptomatic or bell stage I Bell stage≥II At hospital admission (within 24 h) 12.10 pg/mL 92.5 72.6 0.870
Ahmed, 2020 [54] Egypt Cohort n=33 (10/23); preterm and full-term Bell stage II Bell stage IIIA At the time of diagnosis >3.24 ng/mL 90 72 0.768
L-FABP Benkoe, 2014a [26] Austria Case-control n=29 (15/14); BW<2000g Asymptomatic (matched for GA, BW and age at diagnosis) Bell stage≥I At symptom onset N/A N/A N/A 0.95
RIPK3 Shen, 2024 [41] China Case-control n=108 (42/66); preterm Asymptomatic Bell stage≥II At symptom onset 20.52 ng/mL 100 72.7 0.864
RIPK3+CRP+LA Shen, 2024 [41] China Case-control n=108 (42/66); preterm Asymptomatic Bell stage≥II At symptom onset N/A N/A N/A 0.925
HMGB1 Huo, 2021 [57] China Case-control n=405 (106/299); neonates admitted to the hospital Asymptomatic or bell stage I Bell stage≥II At hospital admission (within 24 h) 50.65 pg/mL 95.3 71.2 0.852
IMA ELMeneza, 2021 [64] Egypt Case-control n=80 (40/40); preterm and full-term Asymptomatic Bell stage≤II N/A >13.87 U/mL 82.50 92.50 0.949
Case-control n=40 (20/20); preterm Asymptomatic Bell stage≤II N/A >18.55 U/mL 70.00 100.00 0.872
Case-control n=40 (20/20); full-term Asymptomatic Bell stage≤II N/A >12.66 U/mL 90.00 95.00 0.975
CBG Zhou, 2021 [58] China Cohort n=109 (45/64); preterm Asymptomatic (jaundice) Bell stage I At hospital admission >54.63 nmol/L 66.67 87.50 0.808
Cohort n=72 (27/45); preterm Bell stage I Bell stage≥II At hospital admission >167.70 nmol/L 81.48 100.00 0.923
Moreno, 2016 [45] Spain Cohort n=141 (13/128); GA≤35w Asymptomatic (final diagnosis different from NEC≥I) Bell stage≥II At symptom onset ≥15.6 mU/mg 84.6 85.9 0.89
ABG Benkoe, 2014b [27] Austria Case-control n=33 (15/18); BW<2000g Asymptomatic Bell stage≥I At symptom onset N/A N/A N/A 0.76
GAA Benkoe, 2014b [27] Austria Case-control n=33 (15/18); BW<2000g Asymptomatic Bell stage≥I At symptom onset N/A N/A N/A 0.91
GALC Benkoe, 2014b [27] Austria Case-control n=33 (15/18); BW<2000g Asymptomatic Bell stage≥I At symptom onset N/A N/A N/A 0.87
SMA Evennett, 2014 [59] United Kingdom Cohort n=17 (12/5); neonates treated in NICU; 24w≤GA≤41w Asymptomaticf; (matched for GA and weight) Bell stage≥II At the time of surgery for NEC III; at the time of admission for NEC II Not definedg 33 100 N/A
RELMβ Luo, 2019 [48] China Case-control n=58 (29/29); preterm Asymptomatic (matched for age, GA and BW) Bell stage≥II At symptom onset (within 6 h) 378.3 ng/L 71.4 91.7 0.739
RELMβ+PLT Luo, 2019 [48] China Case-control n=58 (29/29); preterm Asymptomatic (matched for age, GA and BW) Bell stage≥II At symptom onset (within 6 h) 378.3 ng/L + 157 × 109/L 82.89 93.21 0.841
miR-1290 Ng, 2019 [28] China Cohort n=300 (35/265); preterm Sepsis or asymptomatic Bell stage≥II At symptom onset >220 copies/µL 83 92 0.917
Cohort n=300 (35/265); preterm Sepsis or asymptomatic Bell stage≥II At symptom onset >650 copies/µL 42 98 0.917
miR-1290 (day 0) + CRP (day 1) Ng, 2019 [28] China Cohort n=300 (35/265); preterm Sepsis or asymptomatic Bell stage≥II At symptom onset 220–650 copies/µL + >15.8 mg/L 83 96 N/A
miR-1246 Ng, 2019 [28] China Cohort n=300 (35/265); preterm Sepsis or asymptomatic Bell stage≥II At symptom onset >330 copies/µL 72 94 0.843
miR-375 Ng, 2019 [28] China Cohort n=300 (35/265); preterm Sepsis or asymptomatic Bell stage≥II At symptom onset >422 copies/µL 81 85 0.869
EGF Ahmed, 2019 [65] Egypt Case-control n=130 (40/90); GA<35w Asymptomatic or sepsis Bell stage≥II N/A <8 pg/mL 73.3 98 0.92
Galectin 3 Zhou, 2021 [58] China Cohort n=109 (45/64); preterm Asymptomatic (jaundice) Bell stage I At hospital admission >2.615 ng/mL 88.89 59.38 0.828
Cohort n=72 (27/45); preterm Bell stage I Bell stage≥II At hospital admission >5.15 ng/mL 88.89 93.33 0.934
Galectin 4 Fundora, 2022 [53] USA Cohort n=42 (14/28); GA<36w Asymptomatic (matched for GA and sex) Bell stage III After diagnosis (within 24–48 h) >0.7 ng/mL 71 89 0.84
Cohort n=42 (14/28); GA<36w Asymptomatic (matched for GA and sex) Bell stage III After diagnosis (within 24–48 h) >1.38 ng/mL 64 96 0.84
MMP-10 Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsish (matched for GA, BW and onset age) Bell stage≥II At symptom onset (within 12 h) 9.229 55.2 90.0 0.715
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage≥II At symptom onset (within 12 h) 9.240 62.1 90.0 0.799
LIF Dong, 2023 [35] China Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Sepsish (matched for GA, BW and onset age) Bell stage≥II At symptom onset (within 12 h) −0.734 86.2 60.0 0.726
Cross-sectional n=59 (30/29); GA<37w; BW<2500 g Asymptomatic (matched for GA and BW) Bell stage≥II At symptom onset (within 12 h) −1.141 79.3 76.7 0.846
Cross-sectional n=30 (30/30); GA<37w; BW<2500 g Bell stage II Bell stage III At symptom onset (within 12 h) 0.500 38.5 82.4 0.674
Ephrin A3 Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.785
MMP-13 Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.777
  1. I-FABP, intestinal fatty acid-binding protein; L-FABP, liver fatty acid-binding protein; RIPK3=receptor-interacting protein kinase 3; CRP=C-reactive protein; LA, lactic acid; HMGB1=high mobility group box 1; IMA, ischemia-modified albumin; CBG, cytosolic β-glucosidase; ABG, lysosomal β-glucosidase; GAA, lysosomal α-glucosidase; GALC, lysosomal galactocerebrosidase; SMA, smooth muscle actin; RELMβ, resistin-like molecule β; PLT, platelet count; miR=microRNA; EGF, epidermal-growth factor; MMP-10, matrix metalloproteinase-10; LIF, leukemia inhibitory factor; MMP-13, matrix metallopeptidase 13; GA, gestational age; BW, birthweight; USA, United States of America; NEC, necrotizing enterocolitis; N/A=not available. aElevated gastric residuals, abdominal swelling, and occult and/or gross bloody stool. bIncluded cases of late-onset sepsis, severe pneumonia, milk protein allergy, heart failure, gastroesophageal reflux, and feeding intolerance. cTemperature instability, apnea, lethargy, increased gastric residuals, abdominal distension, and occult blood in stool. dGastric retention, abdominal distension, or mild ileus. eIncluded ileus caused by sepsis e.c.i. (e causa ignota; n=3), delayed passage of meconium (n=2), bloody stool e.c.i. (n=2), CPAP, belly (n=2) (viral) gastroenteritis (n=2), spontaneous intestinal perforation (SIP; n=1), and sigmoid volvulus (n=1). In two patients no definite diagnosis could be made. fIncluded PDA, ligation (n=3), bilateral inguinal hernia (n=1), and chest wall necrosis (n=1). gDetection on western blot. hDiagnosis based on clinical manifestations and positive blood or cerebrovascular fluid cultures and not gastrointestinal symptoms such as abdominal distension, diarrhea or bloody stool at the onset.

Table 5:

Metabolic markers.

Marker Author, publication year Country Study design Population (cases/controls) Control subjects’ characteristics Target Stage, s Timing of blood sample collection Cut-off values Sensitivity, % Specificity, % AUC
Primary/secondary bile acid ratio Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset 62.9 94.5 78.1 0.90

0.95 (with clinical characteristics associated)a
Secondary bile acids Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.66
UDCA Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.68
GCDCA Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.68
GCA Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.69
TCA Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.72
TCDCA Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.76
DCA Gao, 2024 [39] China Case-control n=160 (32/128); GA<37w Asymptomatic (matched for GA, BW and postnatal age) Bell stage≥II At symptom onset N/A N/A N/A 0.86
TBil Han, 2017 [56] China Retrospective case-control n=271 (135/136); 37w≤GA≤42w;

2500 g≤BW≤4000 g
Asymptomaticb Bell stage≥I At hospital admission 105.95 μmol/L 72.8 77.8 0.803
GGT Han, 2017 [56] China Retrospective

Case-control
n=271 (135/136); 37w≤GA≤42w;

2500 g≤BW≤4000 g
Asymptomaticb Bell stage≥I At hospital admission 176 U/L 45.2 97.1 0.784
Ca2+ Han, 2017 [56] China Retrospective

Case-control
n=271 (135/136); 37w≤GA≤42w;

2500 g≤BW≤4000 g
Asymptomaticb Bell stage≥I At hospital admission 2.075 mmol/L 81.6 77.1 0.804
GGT+TBil Han, 2017 [56] China Case-control n=271 (135/136); 37w≤GA≤42w;

2500 g≤BW≤4000 g
Asymptomaticb Bell stage≥I At hospital admission 176 U/L and 105.95 μmol/L 89 74.1 0.845
GGT+Ca2+ Han, 2017 [56] China Case-control n=271 (135/136); 37w≤GA≤42w;

2500 g≤BW≤4000 g
Asymptomaticb Bell stage≥I At hospital admission 176 U/L and 2.075 mmol/L 93.4 68.1 0.877
TBil+Ca2+ Han, 2017 [56] China Case-control n=271 (135/136); 37w≤GA≤42w; 2500 g≤BW≤4000 g Asymptomaticb Bell stage≥I At hospital admission 105.95 μmol/L and 2.075 mmol/L 81.6 85.2 0.887
GGT+TBil+Ca2+ Han, 2017 [56] China Case-control n=271 (135/136); 37w≤GA≤42w; 2500 g≤BW≤4000 g Asymptomaticb Bell stage≥I At hospital admission 176 U/L and 105.95 μmol/L and 2.075 mmol/L 87.5 84.4 0.908
Lactic acid Shen, 2024 [41] China Case-control n=108 (42/66); preterm Asymptomatic Bell stage≥II At symptom onset 1.05 mmol/L 85.7 68.2 0.813
Pre-albumin Yang, 2019 [51] China Cross-sectional n=161 (103/58); 28w≤GA≤34w Asymtomaticc Bell stage≥I After diagnosis (within 24 h) N/A 93.0 51.2 0.743
Cross-sectional n=75 (41/34); 28w≤GA≤34w Bell stage I Bell stage II After diagnosis (within 24 h) N/A 97.6 47.5 0.798
Cross-sectional n=62 (34/28); 28w≤GA≤34w Bell stage II Bell stage III After diagnosis (within 24 h) N/A 94.7 42.5 0.703
AFP Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.926
FTCD Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.793
Glucagon Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.860
COLEC12 Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.826
CGA CGB Mackay, 2023 [55] USA Case-control n=24 (12/12); 24w≤GA≤36w Asymptomatic (6 age-matched and 6 self-matched) Bell stage≥I At the time of diagnosis N/A N/A N/A 0.752
  1. UDCA, ursodeoxycholic acid; GCDCA, glycochenodeoxycholate; GCA, glycocholic acid; TCA, taurocholic acid; TCDCA, taurochenodeoxycholate; DCA, deoxycholic acid; TBil, total bilirubin; GGT, gama-glutamyl tranferase; AFP, alpha-fetoprotein; FTCD, formimidoyltransferase cyclodeaminase; COLEC12=collectin subfamily member 12; CGA CGB, glycoprotein hormone alpha polypeptide heterodimer; GA, gestational age; BW, birthweight; USA, United States of America; N/A=not available. aGender, gestational age, feeding type, and fecal occult blood. bIncluded cases of imperforate anus, lower extremities vascular anomaly, epidermal cyst, congenital sternal deformity, urachal remnant. cIncluded cases of neonatal intracranial hemorrhage (≤ grade II), hemolytic disease of the newborn, neonatal swallowing syndrome, and neonatal wet lung syndrome.

The studies evaluated a range of serum biomarkers, which were categorized according to their biological functions or proposed roles in the pathogenesis of NEC to provide a clearer understanding of their diagnostic relevance. Specifically, markers were grouped into hematological indices, acute phase reactants, immunological markers, tissue damage and tissue repair markers, and metabolic markers.

Risk of bias assessment

In the patient selection domain, 67.5 % of studies exhibited a high risk of bias. Three studies were classified as having a high risk of bias due to their exclusion of patients with clinical or radiologic features suggestive of NEC at various stages, while the remaining studies faced limitations due to their case-control design. Specifically, one study excluded patients with Bell stage I [45], another excluded those with recent infectious diseases within a week prior to the onset of NEC symptoms [35], and a third excluded patients with Bell stage IIIB [54]. Additionally, the inclusion of infants already diagnosed with NEC in any stage compromised the applicability of this domain in 62.5 % of studies.

The interpretation of index tests without knowledge of the reference standard was rarely reported in the analyzed studies. As a result, 87.5 % of studies had an unclear risk of bias. The same was observed for the independent interpretation of the reference standard, leading to an unclear risk of bias in 85 % of the studies. All articles presented a low risk of applicability concerns regarding the index test and reference standard domains. A notable source of bias identified was the timing of blood sample collection, which occurred either after or at the moment of diagnosis of NEC, which led to a high risk of bias in 15 % of the studies reviewed, compromising the assessment of biomarkers as potential tools for early detection. Notably, three studies had an unclear risk of bias in the flow and timing domain due to the absence of explicit information regarding the timing of blood sample collection [63], [64], [65].

Overall, 29 out of 40 articles presented a high risk of bias in at least one domain. Additionally, 25 out of 40 studies exhibited a high risk of applicability concern related to the patient selection domain (Figure S1).

Hematological indices

Hematological parameters were evaluated in 11 studies (Table 1) [29], 30], 32], [35], [36], [37], [38, 48], 50], 51], 58]. Among these, three studies targeted NEC Bell stages≥I [36], 51], 58], six targeted Bell stages≥II [29], 30], 35], 38], 48], 50] and two targeted Bell stage III [32], 37]. Five studies included asymptomatic neonates as controls, three used symptomatic neonates, one included neonates with sepsis, and another involved neonates with highly suspected early-onset food protein-induced enterocolitis syndrome (HSEO-FPIES) as controls [29], 35], 36], 38], 48], 50], 51], 58]. In addition, two studies used NEC Bell stages≥II as the target stage and NEC Bell stage I as the control group [36], 51]. One study compared NEC stage II with NEC stage I [51], while three studies examined NEC stage III in comparison to NEC stage II [29], 35], 51]. Two studies focused on NEC stage III and NEC stages≤II as the target stage and control group, respectively [32], 37].

For detecting any stage of NEC, white blood cells (WBC) presented high sensitivity (96.5 %), but with a very low specificity of 26.8 % [51]. WBC also exhibited high specificity (100 %) for detecting Bell stage I with a sensitivity of 46.67 % [58].

Regarding the detection of Bell stages≥II, absolute monocyte count (AMC) revealed the highest specificity (93 %) in Desiraju et al.’s study, where a 50 % reduction in AMC at symptom onset differentiated symptomatic neonates from NEC, though sensitivity was only 51 % [29]. However, Moroze et al. found that the same 50 % reduction in AMC had lower sensitivity and specificity for NEC stages≥I [36]. In addition, a neutrophil count of 58.85 % at symptom onset showed the highest sensitivity (96.6 %) in distinguishing NEC from asymptomatic neonates, but with a specificity of 60 % [35].

Concerning the distinction of NEC stages≥II from sepsis, a WBC count of 15.25 × 10 9/L and a platelet count of 123.5 × 10 9/L presented high specificity (93.3 and 90 %, respectively), although with low sensitivity (31 and 48.3 %, respectively) [35]. A similar trend was observed when comparing NEC to controls with HSEO-FPIES, where WBC showed high specificity (98.36 %) but low sensitivity (39.02 %) [30].

Neutrophil/lymphocyte ratio and platelet count exhibited high sensitivity in discriminating between NEC stage I and stage II (97.6 %) and in distinguishing NEC severity (91.7 %), respectively, but with lower specificity [35], 51]. For distinguishing NEC stage III from NEC stages≤II, Cai et al. Reported that the combination of mean platelet volume (MVP) of 10.80 fL with a procalcitonin (PCT) level of 18.57 ng/mL at symptom onset improved sensitivity to 90 % but specificity remained moderate (78 %), compared to MVP alone [32]. In contrast, Meng et al., who evaluated a larger sample and used a lower threshold of 9.395 fL, observed a higher sensitivity (96.2 %), but lower specificity (32.6 %) [37]. Specificity improved to 93 %, with a sensitivity of 84.8 %, when MPV was combined with PCT (AUC=0.935) [37].

Acute phase reactants

Acute phase reactants were assessed in 14 studies (Table 2) [28], 30], 32], 35], 37], [40], [41], [42, 47], 51], 52], 58], 62], 63]. Of these, five targeted NEC stages≥I [51], 52], 58], 62], 63], seven focused on NEC stages ≥II [28], 30], 35], [40], [41], [42, 47], and two analyzed NEC stage III [32], 37]. The control groups varied among the studies: seven included asymptomatic neonates, two used symptomatic neonates, two had sepsis as the control group, one included HSEO-FPIES cases, and one combined asymptomatic and sepsis cases as controls [28], 30], 35], [40], [41], [42, 51], 52], 58], 62], 63]. One study used NEC stages ≥II as the target group and Bell stage I as the control [58], while another considered Bell stage I or cases of spontaneous intestinal perforation (SIP) as controls [47]. Additionally, one study compared NEC stage II to NEC stage I [51], whereas two studies examined NEC stage III vs. NEC stage II [35], 51]. Finally, two studies focused on NEC stage III as the target group and NEC stages ≤II as the control [32], 37].

In El-farargy et al.’s study, both C-Reactive Protein (CRP) levels of 2.89 mg/L and PCT of 9.35 ng/mL showed high sensitivity (90 %) and specificity (90 and 95 %, respectively) for detecting NEC stages ≥I, achieving excellent AUC values of 0.954 and 0.976, respectively [63]. However, Zhang et al. [52] and Yang et al. [51] evaluated larger sample sizes with blood samples obtained after diagnosis. Although both studies exhibited a comparable ability of CRP to differentiate NEC from asymptomatic infants, with AUC values of 0.655 and 0.650, respectively, they reported discrepant sensitivity and specificity results. While Zhang et al. [52] reported a low sensitivity of 39.1 % but a high specificity of 92.4 % for CRP levels ≥7.38 mg/L, Yang et al. [51] observed a high sensitivity of 93.0 % but a very low specificity of 31.7 %, without specifying a cut-off value. In addition, a PCT threshold>0.831 ng/mL had a specificity of 100 %, but a low sensitivity (55.56 %) for detecting Bell stage I [58].

Regarding the diagnosis of NEC stages ≥II, Dong et al. Reported an AUC of 0.917 for CRP in distinguishing NEC from asymptomatic neonates [35]. However, a notable discrepancy was observed in the study by Shen et al., which analyzed a larger population sample and reported more limited discriminative capability, with an AUC of 0.690 [41]. Both osteoprotegerin (OPG) and tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) demonstrated high sensitivity (100 and 96.6 %, respectively), although with low specificity (66.7 %) [35]. In contrast, fibrinogen gamma-dimer revealed high specificity (91.67 %), but low sensitivity [42].

Although Dong et al. [35] found that CRP had a weak diagnostic performance in distinguishing between NEC and sepsis (AUC=0.564), Ng et al. [28] reported that a CRP level of 10 mg/L exhibited high sensitivity (92 %), but low specificity (55 %), when compared to asymptomatic or sepsis cases. In contrast, FGG-dimer showed high specificity (100 %), but low sensitivity when compared to sepsis [42]. CRP also showed high specificity (94.64 %) but a lower sensitivity of 64.10 % in discriminating NEC from HSEO-FPIES neonates [30]. When compared with NEC stage I or SIP, a 100 % sensitivity was observed for CRP levels<4 mg/L and inter-alpha inhibitor protein levels<207 mg/L [47]. However, CRP had a relatively low specificity of 64.7 %, while inter-alpha inhibitor protein showed a specificity of 88.2 % and achieved an AUC of 0.98 [47].

Regarding the discrimination between moderate to severe NEC from mild NEC, CRP levels>27.56 mg/L and PCT values>1.42 ng/mL were associated with high specificity (100 and 95.56 %, respectively) and moderate sensitivity (81.48 %) [58]. PCT demonstrated excellent diagnostic performance at symptom onset with an AUC of 0.919 in differentiating severe NEC from stages I and II [37]. Furthermore, OPG showed high specificity (94.1 %) in assessing NEC severity, but with a relatively low sensitivity of 61.5 % [35].

Immunological markers

Immunological markers were analyzed in 10 articles (Table 3) [26], 30], [33], [34], [35, 46], 49], 52], 55], 63]. Six of these studies assessed Bell stages ≥I [26], 33], 34], 52], 55], 63], while four targeted Bell stages ≥II [30], 35], 46], 49]. As controls, eight studies included asymptomatic infants, one had sepsis, one used HSEO-FPIES neonates, and another combined asymptomatic or feeding intolerance [26], 30], [33], [34], [35, 46], 49], 52], 55], 63]. One study compared NEC stage III with NEC stage II [35].

For the detection of NEC stages ≥I, epithelial neutrophil-activating peptide-78 (ENA-78) demonstrated high sensitivity (90 %) and specificity (95 %) at a concentration of 159.67 pg/mL (AUC=0.978) [63]. Interleukin (IL)-8 and IL-18 also presented excellent diagnostic performance, with an AUC value of 0.99 and 0.935, respectively [26], 63].

Regarding the diagnosis of Bell stages ≥II, IL-8 demonstrated high sensitivity (96.6 %) and a specificity of 86.7 % (AUC=0.907) [35]. The combination of IL-8 with OPG, TRAIL, C–X–C motif chemokine 1 (CXCL1), thymic stromal lymphopoietin (TSLP), monocyte chemotactic protein-4 (MCP-4), tumor necrosis factor ligand superfamily member 14 (TNFSF14), IL-24, matrix metalloproteinase-10 (MMP-10), leukemia inhibitory factor (LIF), and C–C motif chemokine 20 (CCL20) showed strong diagnostic performance, achieving the same sensitivity of 96.6 % as IL-8 alone but with enhanced specificity of 90 % (AUC=0.972) [35]. In addition, CXCL1, TSLP, and CCL20 also exhibited high sensitivity values (93.1 , 96.6, and 96.6 %, respectively), while MCP-4 demonstrated the highest specificity (90 %) [35]. Anti-myosin autoantibodies achieved an excellent AUC value of 0.9457 within 48 h of symptom onset for NEC stage I [34]. Tumor necrosis factor-alpha showed a sensitivity of 100 % for discriminating between preterm neonates with severe NEC and asymptomatic newborns or those with feeding intolerance. However, this was accompanied by a specificity of only 8.7 % [46]. In contrast, IL-8 had high specificity (97 %) but a low sensitivity (60 %) [46].

In Qi et al.’s study, an IL-6 level of 201.70 pg/mL was associated with a high specificity of 98.04 %, but a relatively low sensitivity of 44.64 % for discriminating between NEC stages≥II from HSEO-FPIES [30]. In addition, the combination of IL-27 with CRP demonstrated excellent discriminatory ability with an AUC of 0.903 [30]. For the differentiation between NEC and sepsis, TNFSF14 showed high sensitivity (93.1 %), but low specificity [35].

Concerning the distinction of NEC severity, the combination of IL-8, OPG, MCP-4, IL-24, LIF, and CCL20 reported higher accuracy than IL-8 alone, with a sensitivity of 92.3 % and a specificity of 100 % [35]. Additionally, MCP-4 showed a high sensitivity of 92.3 %, and CCL20 exhibited a specificity of 100 %, although with low complementary specificity or sensitivity [35].

Tissue damage and tissue repair markers

Tissue damage and tissue repair markers were assessed in 21 studies (Table 4) [25], [26], [27, 32], [34], [35], [36, 40], 43], 47], [52], [53], [54, 56], [58], [59], [60, 63], 64]. Of these studies, seven included Bell stages ≥I [26], 27], 31], 55], 58], 60], 61], 11 Bell stages ≥II [28], 35], 40], 41], [43], [44], [45, 48], 57], 59], 65], one Bell stage IIIA [54], one Bell stage III [53], and one Bell stages ≤II as the target stage [64]. 15 studies included asymptomatic neonates as controls, two had symptomatic infants, two used sepsis cases, one combined asymptomatic and Bell stage I, and two combined asymptomatic and sepsis cases [25], [26], [27, 31], 32], [34], [35], [36, 40], 43], 47], 52], 54], [56], [57], [58], [59], [60, 63], 64]. Two studies focused on patients with NEC Bell stages≥II as the target group, using Bell stage I as the control group [58], 60]. Another study compared patients with NEC Bell stage III to those with Bell stage II [35]. Additionally, a separate study examined NEC stage IIIA as the target stage, using NEC stage II as the control group [54].

Sensitivity and specificity of 100 % for intestinal fatty acid-binding protein (I-FABP) were achieved in the study conducted by Abdle-Haie et al. with a threshold ≥37.95 ng/mL at the time of diagnosis [60]. A lower threshold ≥9.2 ng/mL had a specificity of 100 % and a sensitivity of 95.8 %, as reported by Al-banna et al. [61]. In the first 24 h of life, I-FABP also showed high sensitivity and specificity for predicting NEC at a threshold ≥3.2 ng/mL (both of 95.8 %) and ≥7.75 ng/mL (94.4 and 100 %, respectively) [60], 61]. Regarding the distinction between NEC stages ≥II and NEC stage I, Abdel-Haie et al. also reported that a threshold ≥131.8 ng/mL yielded a sensitivity of 100 % and a specificity of 90 % [60].

Ischemia-modified albumin (IMA) was assessed in a case-control study by El-Meneza et al. and excelled at detecting NEC stages I and II in full-term infants, demonstrating a sensitivity of 90 % and specificity of 95 % at a threshold>12.66 U/mL (AUC=0.975) [64].

Regarding the detection of NEC stages ≥I, liver fatty acid-binding protein and lysosomal α-glucosidase exhibited an excellent discriminatory ability at symptom onset, with an AUC value of 0.95 and 0.91, respectively [26], 27].

Regarding the diagnosis of NEC stages ≥II, the combination of receptor-interacting protein kinase 3, CRP, and lactic acid improved the diagnostic performance compared to receptor-interacting protein kinase 3 alone, achieving an AUC value of 0.925 [41]. Smooth muscle actin, MMP-10, and resistin-like molecule β (RELM-β) showed high specificity (100 , 90, and 91.7 %, respectively), but lower sensitivity (33 , 62.1, and 71.4 %, respectively) [35], 48], 59]. A higher sensitivity and specificity were observed for RELMβ when combined with a platelet count inferior to 157 × 109/L (82.89 and 93.21 %, respectively) [48].

An I-FABP level of 4.1 ng/mL and MMP-10 at symptom onset demonstrated high specificity (92 and 90 %, respectively) and low sensitivity (38 and 55.2 %, respectively) in distinguishing NEC from sepsis [35], 44]. For the distinction between NEC and asymptomatic neonates or sepsis, in Ng et al.’s study [28], micro RNA-1290 (miR-1290) demonstrated the best diagnostic performance at symptom onset, with an AUC value of 0.917. Notably, miR-1290 levels between 220 and 650 copies/µL, in combination with a CRP>15.8 mg/L one day after symptom onset, showed a sensitivity of 83 % and improved specificity to 96 % [28]. In Ahmed et al.’s study, epidermal growth factor also exhibited excellent diagnostic performance, achieving an AUC value of 0.92 [65].

In the study by Huo et al., which analyzed the largest population sample, an I-FABP level of 12.10 pg/mL and a high mobility group box 1 level of 50.65 pg/mL were associated with high sensitivity (92.5 and 95.3 %, respectively) and lower specificity (72.6 and 71.2 %, respectively) in discriminating NEC from asymptomatic or Bell stage I infants [57]. In Schurink et al.’s study, I-FABP presented high specificity (90 %), but low sensitivity (53 %) at symptom onset when compared to symptomatic controls [43].

For distinguishing NEC stages ≥II from Bell stage I, cytosolic β-glucosidase levels>167.70 nmol/L and galectin 3 values>5.15 ng/mL presented high specificity (100 and 93.33 %, respectively) and moderate sensitivity (81.48 and 88.89 %, respectively) [58]. I-FABP showed high sensitivity (90 %) and a specificity of 72 % at a level>3.24 ng/mL for differentiating NEC stage IIIA from NEC stage II [54].

Metabolic markers

Metabolic markers were assessed in five studies (Table 5) [39], 41], 51], 55], 56]. Three of these five studies analyzed Bell stages ≥I [51], 55], 56], while the remaining focused on Bell stages ≥II [39], 41]. All studies included asymptomatic infants as controls. Additionally, one study compared Bell stage II with Bell stage I, as well as Bell stage III with Bell stage II [51].

Regarding the detection of NEC stages ≥I, in Han et al.’s study [52], the best diagnostic performance was observed with the combination of gamma-glutamyl transferase, calcium, and total bilirubin, achieving an AUC of 0.908. Alpha-fetoprotein also achieved an AUC value of 0.926, demonstrating excellent discriminatory ability between NEC stages ≥I and asymptomatic infants [55]. Pre-albumin showed high sensitivity (93 %) but low specificity (51.2 %), although no cut-off value was available. Pre-albumin also demonstrated high sensitivity in distinguishing NEC stage I from NEC stage II, as well as NEC stage II from NEC stage III (97.6 and 94.7 %, respectively) [51]. However, these values were associated with low specificity (47.5 and 42.5 %, respectively) [51].

In relation to the detection of Bell stages ≥II, a primary/secondary bile acid ratio had an excellent diagnostic performance, with an AUC value of 0.90, rising to 0.95 when clinical characteristics were considered [39].

Discussion

Our systematic review highlights several promising serum markers for early NEC detection. Among independent biomarkers, CRP, PCT, ENA-78, I-FABP, and IMA demonstrated excellent diagnostic performance with an AUC value ≥0.9, achieving both sensitivity and specificity ≥90 %. In addition, the combination of IL-8, OPG, MCP-4, IL-24, LIF, and CCL20 was effective in recognizing Bell stages ≥II. Meanwhile, the combination of these markers with TRAIL, CXCL1, TSLP, TNFSF14, and MMP-10 excelled at distinguishing NEC severity. Both combinations achieved optimal performance when blood samples were obtained within 12 h of symptom onset. CRP, PCT, ENA-78, and I-FABP individually provided the highest diagnostic value for detecting Bell stages ≥I, while IMA was most effective for identifying early stages I and II. Notably, I-FABP showed high diagnostic accuracy when blood samples were collected within the first 24 h of life, reinforcing its promising predictive value for NEC development.

Despite these promising findings, several limitations must be acknowledged. The main limitation lies in the heterogeneity in the study design and methodologies among the included articles. The inconsistency in biomarker thresholds, laboratory measurement techniques, and in blood sampling time points posed challenges when comparing results across studies. Additionally, clinical variability, including small sample sizes, population heterogeneity and inclusion of healthy controls in some studies may have influenced biomarker performance. A substantial number of studies enrolled patients already diagnosed with NEC and did not explicitly report blinding methods. The absence of standardized NEC diagnostic criteria further complicates result interpretation, as most studies relied on clinical and radiological findings, which are susceptible to inter observer variability. Moreover, not all studies reported key diagnostic accuracy metrics, such as the number of true and false positives and negatives or confidence intervals, potentially limiting the reliability of the reported results. Some studies also failed to distinguish between NEC stages, often grouping all cases (stages I–III) together. This lack of stage-specific analysis limits the assessment of certain biomarkers’ accuracy in detecting early-stage NEC. Lastly, the possibility of publication bias cannot be excluded, as studies with negative or inconclusive findings may be underrepresented.

A total of four systematic reviews have been published regarding the role of serum markers in the diagnosis of NEC [15], [16], [17], [18], three of which included a meta-analysis [15], 17], 18]. All reviews consistently reported limited utility of serum biomarkers in NEC diagnosis. The first meta-analysis on this topic was conducted by Evennett et al. in 2009. This investigation provided pooled estimates of diagnostic accuracy for three serum biomarkers: platelet-activating factor, CRP and I-FABP. Among these, I-FABP demonstrated the highest diagnostic performance, with an AUC of 0.88, whereas CRP yielded an AUC of 0.70 [14]. CRP was identified as a nonspecific marker for NEC. In fact, our findings align with this conclusion, as CRP presented low specificity in most studies. However, three recent studies published in 2021 reported high CRP specificity, not only for the detection of Bell stages≥I but also for distinguishing NEC from HSEO-FPIES [25], 40], 53]. Nevertheless, the authors acknowledged substantial limitations, including small sample sizes and marked heterogeneity among study populations [15].

The most recent systematic review, by Terrin et al. and published in 2017, included I-FABP and IMA as the most promising biomarkers. In particular, I-FABP demonstrated strong diagnostic performance in detecting Bell stages II and III, while IMA was most effective for identifying Bell stage III. Our findings have enhanced the understanding of the potential role of these biomarkers in detecting earlier stages of NEC, particularly Bell stage I and II. However, as Terrin et al. Noted, most available studies presented significant limitations, including inadequate reporting of study design, inclusion of non-representative patient populations, and variability in target conditions. Additionally, concerns regarding the lack of blinding, insufficient statistical reporting, and the potential for publication bias were also highlighted [16].

I-FABP is a tissue-specific inflammatory marker that has been one of the most extensively studied biomarkers for NEC. This marker is relatively specific for enterocytes and is liberated into the circulation following intestinal epithelial injury [14]. In 2015, Cheng et al. Performed a meta-analysis evaluating the diagnostic accuracy of serum I-FABP for each stage of NEC. The AUC was 0.75 for NEC I, 0.82 for NEC II, and 0.91 for NEC III, indicating a moderate pooled accuracy of I-FABP in diagnosing NEC. The pooled sensitivity was 0.67 for NEC I, 0.74 for NEC II, and 0.83 for NEC III, while the pooled specificity was 0.84. These results highlighted the potential diagnostic value of I-FABP for early detection, which aligns with the findings of our review. However, the included studies used different cut-off values and laboratory methods, showing high heterogeneity and a considerable risk of publication bias [18].

The meta-analysis conducted by Yang et al. in 2016, which included studies assessing Bell stages II or III, found that serum I-FABP had high specificity (91 %) but lower sensitivity (64 %). While some studies reported similarly low sensitivity, our review included more recent investigations with larger sample sizes which demonstrated improved sensitivity values [48], 52], 53]. The studies included in this meta-analysis presented several limitations, including variability in cut-off values, laboratory methods, and study designs, with many having small sample sizes. Furthermore, heterogeneity among patient subgroups and inconsistent inclusion criteria further complicated the interpretation of the results [17].

Thus, the high diagnostic accuracy of I-FABP for Bell stages ≥I, especially within the first 24 h of life, suggests its potential role not only in the early detection of NEC but also in identifying neonates at risk of NEC before clinical symptoms appear. This early identification could enable timely therapeutic interventions, potentially reducing disease progression and improving outcomes. Similarly, IMA and ENA-78 have also demonstrated a promising role in diagnosing NEC at earlier stages. While CRP and PCT may still hold value in NEC diagnosis, their utility appears to be most effective when combined with other biomarkers. As inflammatory mediators, CRP and PCT have notable limitations as independent diagnostic tools for NEC, as they lack the specificity required to differentiate NEC from other conditions such as sepsis and other sources of gastrointestinal inflammation [14]. In addition, the superior performance of multi-marker panels compared to individual biomarkers further reinforces the importance of incorporating biomarker combinations rather than relying on a single marker to enhance diagnostic precision and differentiation from overlapping conditions.

An ideal biomarker for NEC should provide rapid results with minimal invasiveness, rise promptly in response to disease onset, and decline with clinical improvement following treatment. Timely availability of results is essential to guide appropriate treatment decisions while avoiding unnecessary interventions in infants who are ultimately not affected by the disease. However, the clinical applicability of some markers included in this review, such as I-FABP, may be limited by prolonged turnaround times and by the fact that they are currently only available for research use [14].

Despite encouraging findings, the existing limitations observed in the included studies may limit the immediate application of serum markers in clinical environments. Our results, in line with previous studies, emphasize that serum markers should be interpreted with caution when diagnosing NEC. Thus, future research should prioritize large-scale, multicenter prospective cohort studies to validate the diagnostic performance of biomarkers, such as I-FABP and IMA, and ensure consistency across diverse healthcare settings. In addition, establishing standardized diagnostic thresholds through meta-analyses or pooled data studies and defining the optimal timing for biomarker assessment in NEC detection is equally important. Ideally, blood sampling for biomarker analysis should be performed at the earliest clinical suspicion of NEC or, in high-risk neonates, before symptom onset as part of routine monitoring. Serial measurements may further enhance diagnostic accuracy by identifying dynamic changes in biomarker levels, potentially enabling earlier diagnosis and intervention.

In preterm or very low birth weight infants, blood sampling can be painful and invasive, leading to the investigation of less invasive approaches such as urine, fecal, and clinical markers. Serum I-FABP levels have shown a strong correlation with urinary I-FABP concentrations, suggesting that urine testing may serve as a viable alternative for NEC diagnosis in selected cases [31], 54]. However, in the presence of anuria, blood sampling may still be necessary to obtain accurate biomarker measurements [14]. Fecal biomarkers have shown promising diagnostic potential, including volatile organic compounds and calprotectin [66], [67], [68], [69]. Nonetheless, bowel obstruction, which is a common finding in NEC patients, can limit the diagnostic utility of stool-based biomarkers in some cases [14]. Clinical features such as changes in heart rate variability have also shown encouraging results for NEC prediction [70], 71]. In addition, recent advancements in non-invasive techniques such as Near Infrared Spectroscopy and Doppler ultrasonography show promise as diagnostic tools for NEC by assessing splanchnic oxygenation and blood flow, respectively [72], [73], [74]. However, the current evidence supporting these techniques remains limited, warranting further investigation.

Omics technologies, particularly proteomics and metabolomics, have played a crucial role in biomarker discovery, enabling the simultaneous analysis of proteins and metabolites from biological samples [7]. In this systematic review, two studies utilized proteomics technology and demonstrated promising results in identifying potential biomarkers for early NEC detection [35], 55].

The current diagnosis of NEC remains predominantly based on clinical and radiological findings [5]. When symptoms suggestive of NEC, such as feeding intolerance, abdominal distension, and bloody stools arise, it is imperative to perform a radiological examination to confirm or exclude the presence of this condition [5]. Alarming radiographic findings include mild intestinal dilation or ileus, intestinal pneumatosis, gas in the portal vein, and pneumoperitoneum or free air [5]. However, the primary limitations of Bell’s staging criteria include the low diagnostic accuracy of radiographs and the nonspecific nature of NEC symptoms in preterm infants [5]. Additionally, radiographic changes may not be evident in the early stages of the disease, further delaying diagnosis and intervention [5]. Integrating serum biomarkers into standardized NEC diagnostic protocols has the potential to refine current screening methods, enabling earlier and more accurate detection in neonatal intensive care units. However, given the limitations of the included studies, our findings suggest that serum biomarkers currently do not play a significant role in this established diagnostic approach yet. Moreover, relying on a single biomarker for early NEC diagnosis may be insufficient. Future research should prioritize combining serum markers or integrating them with clinical parameters or other non-invasive methods to improve predictive accuracy, enable earlier NEC detection, and ultimately enhance neonatal outcomes.

The inclusion of recent studies in this review ensures that the findings reflect the most up-to-date evidence available. Nevertheless, certain limitations must be acknowledged to ensure a balanced interpretation of the results. Potential selection bias may have influenced the findings, as only studies published in specific databases were included, potentially omitting relevant unpublished data. However, efforts were made to minimize this risk by examining the references of relevant systematic reviews and meta-analyses, performing a manual search of the reference lists of all eligible articles, and retrieving a large number of studies. Additionally, the high heterogeneity among the included studies prevented the performance of a meta-analysis thereby limiting the ability to generate pooled estimates of diagnostic accuracy. This limitation underscores the need for future research to adopt standardized methodologies and consistent reporting of biomarker performance to facilitate meta-analytical approaches and strengthen the evidence base in this field.

Conclusions

Despite advances in neonatal care, NEC remains associated with significant morbidity and mortality [14]. Consequently, achieving an early diagnosis is crucial to improving outcomes.

This systematic review identified several promising serum biomarkers for early diagnosis, most notably I-FABP and IMA, as well as combinations including IL-8, OPG, MCP-4, IL-24, and LIF. I-FABP, in particular, showed predictive potential within the first 24 h of life, suggesting a role in early risk stratification.

However, the current evidence is limited by small sample sizes, methodological heterogeneity, and lack of standardized cut-off values. Future studies should aim to validate these biomarkers in large multicenter cohorts, establish standardized thresholds, and assess their performance in multi-marker panels integrated with clinical parameters or other non-invasive approaches [31], 54], [66], [67], [68], [69], [70], [71], [72], [73], [74].

At present, NEC diagnosis continues to rely primarily on clinical assessment and radiological imaging [1], 4], 5]. Incorporating such biomarkers into established diagnostic strategies could enhance early NEC detection and improve neonatal outcomes.


Corresponding author: Sara Pimenta, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

  8. Review registration: PROSPERO ID: CRD420251007208.

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Received: 2025-04-01
Accepted: 2025-06-03
Published Online: 2025-06-27

© 2025 the author(s), published by De Gruyter, Berlin/Boston

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