Startseite Improving the diagnosis of AATD with aid of serum protein electrophoresis: a prospective, multicentre, validation study
Artikel Open Access

Improving the diagnosis of AATD with aid of serum protein electrophoresis: a prospective, multicentre, validation study

  • Simone Scarlata , Stefania Ottaviani , Alfredo Villa , Stefano Baglioni , Filomena Basile , Anna Annunziata , Simona Santangelo , Maria Francesconi , Francesco Arcoleo , Alice M. Balderacchi , Silvia Angeletti , Sara Magni , Angelo G. Corsico und Ilaria Ferrarotti ORCID logo EMAIL logo
Veröffentlicht/Copyright: 5. März 2024
Veröffentlichen auch Sie bei De Gruyter Brill

To the Editor,

Alpha-1 antitrypsin deficiency (AATD) is a heritable condition characterized by a deficiency in alpha-1 antitrypsin (AAT), a critical circulating protease inhibitor. This condition predisposes individuals to the deleterious effects of unopposed neutrophil elastase, culminating in heightened susceptibility to pulmonary and hepatic pathologies [1].

AAT exerts its primary role in safeguarding the pulmonary parenchyma against proteolytic damage induced by neutrophil elastase. Genetically conditioned deficiency results in a compromised AAT synthesis, thereby precipitating an underwhelming representation of functional AAT in the systemic circulation. Consequently, individuals harboring AATD gene mutations confront elevated susceptibility to diseases typified by chronic obstructive pulmonary disease (COPD) and hepatic disorders. Timely identification and therapeutic intervention are imperative to attenuate the progression of these maladies [2].

Notably, AATD remains underdiagnosed despite its clinical significance [3]. In this context, the potential of alpha-1 band serum electrophoresis evaluation assumes pivotal significance as an instrumental modality for population screening.

This technique, grounded in the principle of serum protein electrophoretic separation, demarcates the migration of AAT within the alpha-1 region [3, 4]. Recently, Scarlata and colleagues have already demonstrated, in a single center, that an algorithm based on the alpha1-globulin fraction of Serum Protein Electrophoresis (SPE) is effective for population screening and allows for early detection of patients affected with AATD variants [5]. Similar results have been obtained soon after as single institution’s experience [6].

We therefore propose to strengthen the scientific evidence on the effectiveness of the use of the alpha1-globulin band in protein electrophoresis for the early diagnosis and population screening of AATD, through a multicenter design conducted in four Italian hospitals.

The study was organized as multicenter project with four Laboratory Units with the respective Pulmonology Units in Italian hospitals namely: Monaldi Hospital, Naples (Center 1); AOR Villa Sofia Cervello, Palermo (Center 2); Santa Maria della Misericordia Hospital, Perugia (Center 3); Fondazione Policlinico Universitario Campus Bio-Medico, Rome (Center 4).

In the period spanning June 2022–December 2022, the laboratories checked all the serum protein electrophoresis consecutively performed (84,270) and selected 461 subjects with the following criteria: (a) adults aged 30–70 years; AND (b) alpha1-globulin value <2.9 % OR presence of evident splitting of the alpha1 fraction, attributable to heterozygous subjects, even in the case of values between 2.9 and 4.9 %; AND (c) exclusion of subjects with “false” decreases in the alpha1 fraction due to the presence of large monoclonal components or patients with nephrotic syndrome.

The Laboratory Units of Perugia and Rome confirmed of AAT deficiency by specific protein assays: a1antitripsina (Siemens) and Abbott Alinity C (Abbott Laboratories, IL, USA) A1-Antitrypsin immunoturbidimetric assay, respectively. The selected subjects were notified to the respective Pulmonology Units, that contacted them by offering further testing to correctly diagnose AATD. In the total 92 subjects accepting it, samples were collected and shipped to the Center for Diagnosis of Inherited Alpha1-Antitrypsin Deficiency, IRCCS San Matteo Hospital Foundation (Pavia) for first and/or second level investigations [3]. In particular, the Pulmonology Units of Perugia and Rome collected buccal swabs to perform genetic analysis, whereas the Pulmonology Units of Naples and Palermo collected Dried Blood Specimens (DBS) to perform both biochemical and genetic investigations. Table 1 reports details of recruitments according to the different Centers.

Table 1:

Recruitment details.

Center 1 Center 2 Center 3 Center 4 Total
SPEs screened, n 29,792 14,214 33,255 7,009 84,270
SPEs selected, n (% of screened) 167 (0.56) 98 (0.69) 156 (0.47) 40 (0.57) 461 (0.55)
Subject collected for further analysis, n (% of selected) 19 (11.4) 9 (9.1) 37 (23.7) 27 (67.5) 92 (19.9)

AAT and CRP measurements in plasma were performed in DBS samples by sandwich ELISA by using ThunderBolt® Analyzer (Gold Standard Diagnostics), a fully automated multiplate open platform. The ELISA kit for AAT quantification (ImmuChrom GmbH) and for CRP quantification (Alpha Diagnostic International) were used according to the manufacturers’ protocols [7].

DNA was extracted from DBS and buccal swabs by using an automatic extractor (QIAcube) and the QIAamp DNA Mini Kit or Investigator Kit (QIAGEN), as previously reported [8]. Once extracted, all DNA were genotyped by applying AAT Genotyping Test [8]. According to the current diagnostic algorithm [9], when necessary, SERPINA1 gene was sequenced as recently described [10].

All the statistical analyses were performed by the software MedCalc (MedCalc Software Ltd, Belgium).

By applying the diagnostic algorithm for AATD to the 92 samples, 8 resulted with both pathogenic alleles (respectively, PI*ZZ, PI*SS, PI*S/Mmalton, PI*V/Mprocida, PI*Z/Smunich, PI*Mwurzburg/Smunich, PI*S/I, PI*Z/Mwurzburg), 49 with one pathogenic allele (namely, 18 PI*MZ, 7 PI*MS, 6 PI*M/Mmalton, 4 PI*M/Plowell, 4 PI*M/Q0ourèm, 2 PI*M/Q0perugia, 2 PI*MV, 2 PI*M/Mprocida, 1PI*M/Mwurzburg, 1 PI*M/Q0isoladiprocida, 1 PI*M/Mwhitstable, 1 PI*M/Mrouèn) and 37 without pathogenic alleles.

Details of genotypes, alpha1-globulin % and AAT plasma concentration according to the different Centers are reported in Table 2.

Table 2:

Frequencies of samples according the combination of alleles and a-1 globulin % and AAT plasma concentration.

Center 1 Center 2 Center 3 Center 4 Total
All collected samples n (% of total) 19 (20.6) 9 (9.8) 37 (40.3) 27 (29.3) 92
Mean a1-globulin % (SD) 2.65 (0.23) 2.76 (0.15) 2.61 (0.21) 2.66 (0.24) 2.66 (0.21)
Mean AAT, mg/dL (SD) 97.6 (23.8) 77.5 (8.5) 84.9 (20.0) 86.2 (45.2) 86.4 (26.4)
Two pathogenic alleles n (% of total – % of center) 0 1 (12.5–11.1) 3 (37.2–8.1) 3 (37.2–11.1) 8 (8.7)
Mean a1-globulin % (SD) 2.70 2.17 (0.39) 2.53 (0.29) 2.37 (0.37)
Mean AAT, mg/dL (SD) 76.6 58.8 (18.6) 51.0 (53.7) 59.1 (26.9)
One pathogenic allele n (% of total – % of center) 10 (21.2–52.6) 6 (12.7–66.7) 19 (40.4–51.3) 12 (25.5–44.4) 47 (51.0)
Mean a1-globulin % (SD) 2.71 (0.41) 2.76 (0.05) 2.56 (0.21) 2.60 (0.21) 2.62 (0.26)
Mean AAT, mg/dL (SD) 90.9 (11.0) 77.7 (9.8) 84.9 (17.8) 89.9 86.2 (24.1)
No pathogenic allele n (% of total – % of center) 9 (24.3–47.3) 2 (5.4–22.2) 15 (40.5–40.5) 12 (32.4–44.4) 37 (40.2)
Mean a1-globulin % (SD) 2.73 (0.15) 2.80 2.68 (0.11) 2.9 2.71 (0.12)
Mean AAT, mg/dL (SD) 121.0 (48.7) ND 95.4 (16.9) 84.0 98.5 (22.8)

In general, among the subjects who agreed to undergo genetic testing, a high positive detection rate was achieved (59.8 %). The rate was quite consistent among centers (52.6 , 77.8, 59.5 and 55.5 % in Center 1, 2, 3 and 4, respectively), thus indicating that locally performed confirmation assay of protein deficiency did not affected patient selection. Moreover, also the use of different procedures for sample collection (DBSs and buccal swabs) did not influence the final results.

To restrict the inclusion criteria, the optimal threshold for alpha1-globulin percentage was determined by plotting a receiver operating curve (ROC). To this end, all samples with at least one pathological SERPINA1 allele were assumed to be positive. The ROC curve identified ≤2.5 as the optimal cut-off value of percentage of alpha1-globulin band in SPE for suspecting genetic AAT deficiency (35.9 % sensitivity and 80 % specificity) and ≤2.3 for highly recommended diagnosis of AATD (19.3 % sensitivity and 100 % specificity).

The potential advantages of implementing the use of SPE for screening purposes are manifold: first, population screening for AATD would assume heightened significance by virtue of the demonstrable salubrious effects of early intervention. Mitigation strategies such as smoking cessation, the avoidance of occupational peril, and judicious medical management are quintessential in the amelioration of disease progression. Furthermore, the early identification of AATD-affected individuals would also permit the optimization of these interventions to yield more efficacious outcomes. Additionally, the scope of utility intrinsic to alpha band serum electrophoresis evaluation might transcend individualized patient care. It could engender the accrual of invaluable data repositories germane to epidemiological investigations by delineating the prevalence and demographic distribution of AATD within discrete populations, thereby affording pertinent insights into public health initiatives and judicious resource allocation to ensure the provisioning of commensurate support and care for AATD-afflicted individuals.

Despite these aforementioned traits, it should be remarked that SPE cannot be considered a diagnostic tool, but a mere instrument allowing screening. Moreover, SPE is unable to differentiate between AATD protein, genetic variants and clinical phenotypes and is therefore of limited utility for the clinical management and follow up of the disease.

This study has several limitations: first, only a minority of screened subjects accepted to undergo to complete AATD diagnostic and we are not able to exclude that this might have influenced the results; indeed, since no significant differences in alpha1-globulin mean levels was seen between participants and those who refused we are prone to consider this eventuality quite unlikely. Second, at the moment, we cannot provide data on the clinical relevance of our findings, as no longitudinal analysis of lung function decline rate was performed. Further research is therefore needed to clarify the impact of intermediate deficiency on lung function and COPD disease progression.

In conclusion, we confirmed previous single-center evidences [5, 6] that SPE can be successfully used for screening population of AATD, also in a multicentric fashion, leading to high positive detection rate among whom agree to undergo genetic testing. Further implementation of this approach should be taken into account as healthcare solution for individualized medicine strategies and control and rationalization of health spending.


Corresponding author: Dr. Ilaria Ferrarotti, Department of Internal Medicine and Therapeutics, Pneumology Unit, Università di Pavia, Pavia, Italy; and Center for Diagnosis of Inherited α1-Antitrypsin Deficiency, Pneumology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy, Phone: +390382502620, E-mail:

Acknowledgments

The authors acknowledge organizational assistance from Lorenzo Dolfi Agostini (Grifols).

  1. Research ethics: The study was carried out according to the tenets of the Declaration of Helsinki and the relevant Italian regulations for performing investigation in humans. Giving the nature of the study, no specific ethical approval was needed.

  2. Informed consent: For subjects who agreed genetic analysis, the specific consent was obtained.

  3. Author contributions: SS, IF designed the research project; SB, AA, FA, enrolled patients and collected clinical data; AMB, AV, FB, SO, SS, VB, MF, SA, SM performed analysis; IF analyzed data; SS, IF, AGC wrote the paper. All authors read and approved the manuscript. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest for this study.

  5. Research funding: None declared.

  6. Data availability: Not applicable.

References

1. Greene, CM, Marciniak, SJ, Teckman, J, Ferrarotti, I, Brantly, ML, Lomas, DA, et al.. α1-Antitrypsin deficiency. Nat Rev Dis Prim 2016;2:16051. https://doi.org/10.1038/nrdp.2016.51.Suche in Google Scholar PubMed

2. Meischl, T, Schmid-Scherzer, K, Vafai-Tabrizi, F, Wurzinger, G, Traunmüller-Wurm, E, Kutics, K, et al.. The impact of diagnostic delay on survival in alpha-1-antitrypsin deficiency: results from the Austrian Alpha-1 Lung Registry. Respir Res 2023;24:34. https://doi.org/10.1186/s12931-023-02338-0.Suche in Google Scholar PubMed PubMed Central

3. Balbi, B, Benini, F, Corda, L, Corsico, A, Ferrarotti, I, Gatta, N, on the behalf of IDA Group. An Italian expert consensus on the management of alpha1-antitrypsin deficiency: a comprehensive set of algorithms. Panminerva Med 2022;64:215–27. https://doi.org/10.23736/s0031-0808.22.04592-x.Suche in Google Scholar

4. Nakanishi, T, Forgetta, V, Handa, T, Hirai, T, Mooser, V, Lathrop, GM, et al.. The undiagnosed disease burden associated with alpha-1 antitrypsin deficiency genotypes. Eur Respir J 2020;56:2001441. https://doi.org/10.1183/13993003.01441-2020.Suche in Google Scholar PubMed PubMed Central

5. Scarlata, S, Santangelo, S, Ferrarotti, I, Corsico, AG, Ottaviani, S, Finamore, P, et al.. Electrophoretic α1-globulin for screening of α1-antitrypsin deficient variants. Clin Chem Lab Med 2020;58:1837–45. https://doi.org/10.1515/cclm-2020-0071.Suche in Google Scholar PubMed

6. Cronin, T, Rasheed, E, Naughton, A, McElvaney, NG, Carroll, TP, Crowley, VEF, et al.. Serendipitous detection of α1-antitrypsin deficiency: a single institution’s experience over a 32 month period. Clin Chem Lab Med 2021;59:e293–5. https://doi.org/10.1515/cclm-2020-1750.Suche in Google Scholar PubMed

7. Balderacchi, AM, Bignotti, M, Ottaviani, S, Denardo, A, Barzon, V, Ben Khlifa, E, et al.. Quantification of circulating alpha-1-antitrypsin polymers associated with different SERPINA1 genotypes. Clin Chem Lab Med 2024 Feb 27. https://doi.org/10.1515/cclm-2023-1348 [Epub ahead of print].Suche in Google Scholar PubMed

8. Ottaviani, S, Barzon, V, Buxens, A, Gorrini, M, Larruskain, A, El Hamss, R, et al.. Molecular diagnosis of alpha1-antitrypsin deficiency: a new method based on Luminex technology. J Clin Lab Anal 2020;34:e23279. https://doi.org/10.1002/jcla.23279.Suche in Google Scholar PubMed PubMed Central

9. Balderacchi, AM, Barzon, V, Ottaviani, S, Corino, A, Zorzetto, M, Wencker, M, et al.. Comparison of different algorithms in laboratory diagnosis of alpha1-antitrypsin deficiency. Clin Chem Lab Med 2021;59:1384–91. https://doi.org/10.1515/cclm-2020-1881.Suche in Google Scholar PubMed

10. Barzon, V, Ferrarotti, I, Ottaviani, S. Sanger and next-generation sequencing of AAT. Methods Mol Biol 2024;2750:57–67. https://doi.org/10.1007/978-1-0716-3605-3_6.Suche in Google Scholar PubMed

Received: 2024-02-05
Accepted: 2024-02-22
Published Online: 2024-03-05
Published in Print: 2024-07-26

© 2024 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artikel in diesem Heft

  1. Frontmatter
  2. Editorial
  3. Analytical performance specifications – moving from models to practical recommendations
  4. Opinion Papers
  5. What the Milan conference has taught us about analytical performance specification model definition and measurand allocation
  6. The role of analytical performance specifications in international guidelines and standards dealing with metrological traceability in laboratory medicine
  7. How clinical laboratories select and use Analytical Performance Specifications (APS) in Italy
  8. Outcome-based analytical performance specifications: current status and future challenges
  9. Analytical performance specifications based on biological variation data – considerations, strengths and limitations
  10. State-of-the-art model for derivation of analytical performance specifications: how to define the highest level of analytical performance technically achievable
  11. Analytical performance specifications for combined uncertainty budget in the implementation of metrological traceability
  12. When bias becomes part of imprecision: how to use analytical performance specifications to determine acceptability of lot-lot variation and other sources of possibly unacceptable bias
  13. Using analytical performance specifications in a medical laboratory
  14. Issues in assessing analytical performance specifications in healthcare systems assembling multiple laboratories and measuring systems
  15. Applying the Milan models to setting analytical performance specifications – considering all the information
  16. Guidelines and Recommendations
  17. Recommendations for blood sampling in emergency departments from the European Society for Emergency Medicine (EUSEM), European Society for Emergency Nursing (EuSEN), and European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase. Executive summary
  18. General Clinical Chemistry and Laboratory Medicine
  19. Assessment of accuracy of laboratory testing results, relative to peer group consensus values in external quality control, by bivariate z-score analysis: the example of D-Dimer
  20. The stability of 65 biochemistry analytes in plasma, serum, and whole blood
  21. Assessment of the 2023 European Kidney Function Consortium (EKFC) equations in a Chinese adult population
  22. In vitro, in vivo metabolism and quantification of the novel synthetic opioid N-piperidinyl etonitazene (etonitazepipne)
  23. Quantification of blood glial fibrillary acidic protein using a second-generation microfluidic assay. Validation and comparative analysis with two established assays
  24. Association of prehospital lactate levels with base excess in various emergencies – a retrospective study
  25. Reference Values and Biological Variations
  26. Stability of ten serum tumor markers after one year of storage at −18°C
  27. Variations in tumor growth, intra-individual biological variability, and the interpretation of changes
  28. Cancer Diagnostics
  29. N-linked glycosylation of the M-protein variable region: glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma
  30. Cardiovascular Diseases
  31. Reference intervals for high sensitivity cardiac troponin I and N-terminal pro-B-type natriuretic peptide in children and adolescents on the Siemens Atellica
  32. Infectious Diseases
  33. Fetal chronic hypoxia does not affect urinary presepsin levels in newborns at birth
  34. Letters to the Editor
  35. AWMF statement on medical services in laboratory diagnostics and pathology with regard to the IVDR
  36. An outline of measurement uncertainty of total protein in urine estimated according to the ISO Technical Specification 20914
  37. Early diagnosis of severe illness in an outpatient – the Sysmex XN’s neutrophil reactivity parameter
  38. Analytical and diagnostic performance of Theradiag i-Tracker assays on IDS-iSYS for infliximab and adalimumab therapeutic drug monitoring
  39. Improving the diagnosis of AATD with aid of serum protein electrophoresis: a prospective, multicentre, validation study
  40. Cerebrospinal fluid kappa free light chains in patients with tumefactive demyelination
  41. Diagnostic value of quantitative chemiluminescence immunoassay for anti-gp210 and anti-sp100 antibodies in primary biliary cholangitis
Heruntergeladen am 14.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cclm-2024-0176/html
Button zum nach oben scrollen