Home Spot analyses of serum neopterin, tryptophan and kynurenine levels in a random group of blood donor population
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Spot analyses of serum neopterin, tryptophan and kynurenine levels in a random group of blood donor population

  • Songül Ünüvar , Gözde Girgin , Ş. Sezin Palabıyık , Tülay Karaağaç , Osman Ilhami Özcebe , Gönül Şahin and Terken Baydar EMAIL logo
Published/Copyright: May 11, 2013
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Abstract

In transfusions, safety measures are used for the health of both receivers and donors. In this regard, early and sensitive markers are strongly needed. The aim of this study was to evaluate neopterin profile and tryptophan degradation in a group of Turkish blood donors. The effect of age, gender, blood type and Rh factor were also assessed. Neopterin was measured by ELISA kits. Serum tryptophan and kynurenine were determined by high performance liquid chromatography. Kynurenine/tryptophan (kyn/trp) was calculated to estimate tryptophan degradation. Tryptophan, kynurenine and kyn/trp levels were found to be higher in males compared with females (all p<0.05). Neopterin and kynurenine levels tended to increase with age in age subgroups (all p<0.05). On the contrary, smoking, Rh factor and blood types were all observed to have no effect on measured parameters (all p>0.05). In routine analysis, early and reliable biomarkers are needed. In parallel with current markers, neopterin can be used to select safe donors and to maintain the safety of transfusion. In the face of our results, we recommend that donations with neopterin levels above 19 nmol/L should be excluded from the program because increased neopterin levels indicate activation of the cellular immune system.

Introduction

Transfusions are life-saving in many conditions such as organ failure, injuries by physical trauma, bleeding for numerous reasons, with a certain risk for transmitting infectious agents or some diseases [1]. To decrease the risk of blood transmitted infections, blood donors generally go through a screening process including a mini-physical and/or serological examination and a questionnaire about general health status, medications used, and habitual behaviors for their own and the recipient’s safety [2]. Although more improved detection, screening and inactivation techniques are used and current blood supply is safer than before, the safety of transfusion still depends on the selection of low risk donors [3]. Safety of blood and blood products is a highly concerned issue for all organizations. Except for institutions and university hospitals that have the capacity to handle possible transfusion problems, most hospitals still rely on blood suppliers for product safety and focus on patient safety [4]. These centers must be reliable for all aspects of collection, screening, testing and blood storage. Conventional safety measures are generally maintained by appropriate biomarkers for prevention of possible contamination via transfusion and for the health of not only receivers but also donors. If any problem is detected by these biomarkers, direct further clinical examination should be suggested. Some common tests for the detection of biological contaminants such as HIV and hepatitis viruses have been performed in blood centers so far [1]. As there are various different pathogens which cannot be screened by this strategy, anamnesis of donors should be detailed enough to fill this gap at least partly. It should be considered that these tests may be expensive and/or late markers, meaning these parameters can be detected after the symptoms of disorder occur.

In this regard, early and sensitive markers are strongly needed. Not only infections but also autoimmune processes and certain malignant diseases lead to an activation of the cellular immune system even if the diseases are still in an asymptomatic period. Neopterin is released from monocytes/macrophages with interferon γ (IFN-γ) stimulation, and it has a potential function in the process of inflammation and infection as a mediator and/or regulator [1, 5–7]. Neopterin is also a nonspecific marker in many systemic problems, and the determination of neopterin levels in serum or urine would be useful to detect certain risk factors for blood transfusions [1].

Cellular immune activation also induces indoleamine-2,3-dioxygenase (IDO) in addition to neopterin release. Together with tryptophan-2,3-dioxygenase (TDO), IDO catalyzes the rate limiting step in the kynurenine pathway, in which tryptophan is degraded to kynurenine derivatives and nicotinamide adenine dinucleotides. Unlike TDO, IDO is preferentially induced by Th1-type cytokine IFN-γ [8, 9]. The kynurenine-to-tryptophan (kyn/trp) ratio, that is, the ratio of the concentration of the first product of TDO and IDO versus the concentration of their substrate is an appropriate indicator of tryptophan degradation. The kyn/trp ratio provides a better and normalized measurement than absolute tryptophan or kynurenine concentrations. To substantiate that tryptophan degradation is due to the activation of IDO rather than TDO, it is necessary to demonstrate concomitant immune system activation. Thus, activated IDO is indicated when kyn/trp correlates with an immune activation parameter and endogenous IFN-γ formation [8–11]. The kyn/trp ratio generally correlates well with neopterin levels in accordance with progression and severity of diseases [11, 12]. Similar to disorders with increased neopterin production, increased degradation of tryptophan has also been described in some physiological conditions [8, 13, 14].

The aim of this study was to evaluate neopterin levels and also tryptophan degradation in a group of Turkish blood donors. The effect of age, gender, blood type and Rh factor were also assessed.

Materials and methods

Subjects and samples

A total of 193 blood donors (149 males, 44 females; aged between 18 and 60 years) were included in the study. The study was approved by the local Ethics Committee of Hacettepe University in accordance with the Helsinki Declaration of 1981.

Samples of blood donors from the Blood Center of Hacettepe University were collected. Serum was obtained by centrifugation and all samples were stored at –20°C until assayed.

Measurements of neopterin

Serum neopterin concentrations were measured by ELISA using a commercial kit (DRG, Marburg, Germany) according to the manufacturer’s instructions. Results were expressed as nmol/L.

Measurements of tryptophan/kynurenine concentrations and IDO activity

Serum tryptophan and serum kynurenine concentrations were determined by high performance liquid chromatography (HPLC) [15] with minor modifications. The kyn/trp ratio was calculated to estimate IDO activity and expressed as μmol/mmol.

Statistics

Demographics are presented as mean±SD. All other results are presented as means±SEM. The correlations of the parameters were detected by non-parametric Spearman’s correlation test. With Bonferroni correction, p<0.025 and p<0.0125 were considered statistically significant for two and four parameter correlations, respectively.

Results

Neopterin, tryptophan, kynurenine and kyn/trp levels of blood donors are presented in Table 1. Tryptophan, kynurenine and kyn/trp levels were found to be higher in males compared with females (all p<0.05). Blood donors were divided into subgroups according to gender, age, smoking habit, Rh factor and blood types. The mean levels of measured parameters for each subgroup were established and evaluated (Table 1). In comparison with the 18–27 years age group, kynurenine levels were statistically higher in the 38–47 years and 48–60 years age groups; neopterin levels were lower in the 28–37 years and 38–47 years age groups; and kyn/trp levels were higher in the 38–47 years and 48–60 years age groups (all p<0.05). On the contrary; smoking, Rh (+/–) factor and blood types were all observed to have no effect on measured parameters (all p>0.05).

Table 1

Characteristics of donors and measured parameters.

GroupsnMean±SEM (min–max)
TrpKynKyn/TrpNeop
Gender
 Male14966.0±0.9 (40.4–100.6)2.5±0.05 (1.2–4.2)38.0±0.8 (21.2–76.4)7.9±0.3 (3.0–22.6)
 Female4460.5±2.0a (17.8–82.0)2.1±0.1a (0.4–3.5)34.5±1.5a (17.2–57.4)8.4±0.9 (2.8–36.8)
Age subgroup, years
 18–276466.7±1.4 (42.9–94.7)2.2±0.06 (1.4–3.7)34.2±1.1 (22.0–61.3)7.1±0.5 (2.8–20.3)
 28–376063.8±1.8 (17.8–100.6)2.4±0.1 (0.4–3.9)37.2±1.4 (17.2–68.0)8.1±0.5b (3.1–18.3)
 38–475265.2±1.4 (47.4–100.6)2.5±0.1b (1.5–4.2)39.1±1.3b (23.1–67.2)9.2±0.8b (3.5–36.8)
 48–601763.2±3.1 (45.3–87.3)2.6±0.2b (1.3–4.1)41.6±2.8b(26.2–76.4)7.5±0.7 (3.8–15.4)
Smoking
 No9365.1±1.3 (17.8–100.6)2.4±0.07 (0.4–4.2)37.0±1.0 (17.2–76.4)7.9±0.4 (2.8–20.3)
 Yes10064.5±1.1 (42.9–100.6)2.4±0.06 (1.2–3.9)37.3±1.02 (21.2–68.0)8.2±0.5 (3.0–36.8)
Rh factor
 +17564.7±0.9 (17.8–100.6)2.4±0.1 (0.4–4.2)36.9±0.8 (17.2–76.4)8.1±0.3 (2.8–36.8)
 –1865.6±2.1 (52.3–87.1)2.6±0.1 (1.6–3.6)40.0±2.5 (26.6–67.2)7.3±0.7 (3.8–16.1)
Blood types
 A Rh (+/–)81/665.3±1.2 (42.9–100.6)2.5±0.1 (1.3–4.2)38.2±1.1 (23.1–76.4)8.4±0.5 (3.2–22.6)
 B Rh (+/–)28/463.3±2.6 (17.8–100.6)2.2±0.1 (0.4–3.5)34.9±1.6 (21.2–54.1)6.6±0.5 (2.8–14.5)
 AB Rh (+/–)16/267.8±1.9 (57.1–80.2)2.2±0.1 (1.5–3.2)33.4±1.9 (20.2–47.5)8.1±0.7 (3.5–15.0)
 0 Rh (+/–)50/663.8±1.6 (23.2–89.2)2.4±0.1 (0.4–3.8)38.1±1.4 (17.2–67.2)8.2±0.6 (3.0–36.8)
Total19364.8±0.94.7±0.137.2±0.78.0±0.3

Trp, tryptophan (μmol/L); Kyn, kynurenine (μmol/L); Kyn/Trp (μmol/mmol); Neop, neopterin (nmol/L); ap<0.05, compared with males; bp<0.05, compared with the 18–27 years age group.

The correlations between age and measured parameters were assessed. Age was found to be correlated with all measured parameters except for tryptophan (all p<0.05). The relations of measured parameters were further investigated not only in donors as a whole but also in subgroups. These correlations are presented in Table 2.

Table 2

Correlations between measured parameters in blood donors (total, n=193).

GroupsCorrelations (R-values and p-values)
Neop–TrpNeop–KynNeop–Kyn/TrpTrp–Kyn
All participants–0.076 (0.293)0.361 (<0.001)a0.399 (<0.001)a0.266 (<0.001)a
Gender
 Male–0.041 (0.621)0.380 (<0.001)a0.370 (<0.001)a0.227 (0.005)a
 Female–0.151 (0.327)0.344 (0.022)a0.480 (0.001)a0.319 (0.035)
Age, years
 18–270.098 (0.442)0.254 (0.043)0.181 (0.153)0.256 (0.042)
 28–370.101 (0.445)0.579 (<0.001)a0.541 (<0.001)a0.397 (0.002)a
 38–47–0.390 (0.004)a0.093 (0.513)0.346 (0.012)a0.205 (0.145)
 48–60–0.181 (0.486)0.132 (0.613)0.331 (0.195)0.520 (0.033)
Smoking
 No0.049 (0.638)0.341 (0.001)a0.307 (0.003)a0.271 (0.009)a
 Yes–0.189 (0.060)0.360 (<0.001)a0.456 (<0.001)a0.228 (0.022)a
Rh factor
 +–0.075 (0.326)0.374 (<0.001)a0.408 (<0.001)a0.270 (<0.001)a
 ––0.147 (0.561)0.113 (0.656)0.190 (<0.450)0.131 (<0.604)
Blood types
 A Rh (+/–)–0.129 (0.234)0.317 (0.003)a0.354 (0.001)a0.282 (0.008)a
 B Rh (+/–)–0.010 (0.956)0.527 (0.002)a0.517 (0.002)a0.313 (0.081)
 AB Rh (+/–)–0.099 (0.469)0.283 (0.034)0.434 (0.001)a0.247 (0.066)
 0 Rh (+/–)0.207 (0.411)0.228 (0.362)0.221 (0.378)0.018 (0.945)

Neop, neopterin; Kyn/Trp, kynurenine-to-tryptophan ratio; ap<0.05.

The number and percentage of donors exceeding physiological levels of measured parameters were also analyzed. The levels were obtained from the manufacturer’s kit manual and previous publications [6, 8, 16, 17]. Out of 193 donors recruited in the study, 5 (2.6%) had neopterin levels above 19 nmol/L, 22 (11.4%) had tryptophan levels over 78 μmol/L, 75 (38.9%) had kynurenine levels above 2.5 μmol/L and 99 (51.3%) had kyn/trp levels exceeding 35 μmol/mmol.

Discussion

Neopterin, playing a key role in immune activation, has become a valuable clinical parameter especially in infectious diseases, autoimmunity, malignant tumors, organ transplantations, and neurological and cardiovascular diseases as its measurement in body fluids is easy, fast and reproducible [16, 18–20]. Although donor questionnaires and routine screening tests are performed in blood transfusions, it has not yet been possible to clear transfusion-related infections. It has been shown that blood transfusion safety can be increased by screening neopterin, which is an early and sensitive marker of cellular immunity, in blood donors [16, 19]. The release of neopterin begins 3 days before T cell proliferation reaches maximum, and an increase in neopterin production can be observed approximately 1 week before the appearance of specific antibodies [17, 21].

Neopterin has a distinct importance in blood banking as its levels increase in the incubation period of viral diseases before symptoms are observed [1, 6, 18, 19, 22]. The first study on this subject was performed in Austria, in the Innsbruck Blood Centre by Honlinger and colleagues [23]. Between 1986 and 1988, they determined neopterin levels of a huge number of blood donors in addition to routine tests. The 4-week follow-up of donors having yet high neopterin values resulted in the development of infectious and malignant diseases (57%). On the basis of this data and further studies, neopterin is being screened in all Austrian blood banks since 1993 and bloods having high neopterin are not used for transfusion even if the other markers are negative [23]. In a retrospective study, Schennach and colleagues have reported that HCV-PCR positivity and high neopterin levels were correlated and screening neopterin levels in blood donations were helpful in decreasing infection risk [19].

IFN-γ increases neopterin release in monocytes and macrophages and it also induces IDO, which plays an important role in tryptophan degradation via the kynurenine pathway. Therefore, in parallel with increased neopterin production, tryptophan breakdown increases in diseases related to cellular immune activation. Measurement of neopterin levels and kyn/trp enable the determination of the degree of immune activation and support each other [12, 22]. When two gender groups were compared, females were found to have statistically higher neopterin and lower kyn/trp levels. These changes were in accordance with previous studies and studies linking the difference in kyn/trp to hormonal status of gender [8, 20]. By contrast, there are studies indicating that neopterin does not change with gender [24].

The upper limit for serum tryptophan level in adults was considered to be 73±15 μmol/L [8]. In the study group, 11.4% (n=22) of tryptophan levels were high. The normal range for kynurenine levels was accepted to be 1.92±0.58 μmol/L [8]. In this study, kynurenine levels were lower than the upper limit in 118 donors (61.1%) and high in 75 donors (38.9%). The mean of the high kynurenine group was detected as >2.5 μmol/L. When the upper limit of kyn/trp was set as 26.9±8.1 μmol/mmol, 99 (51.3%) donors had high kyn/trp levels [8, 25].

Serum neopterin levels may differ according to the manufacturer of ELISA kits. Normal neopterin concentration in healthy human serum differs according to the sources and analysts. For example, there are differences especially in estimating neopterin concentration at different ages and genders [1, 24]. Nevertheless, it is recommended to estimate its own neopterin referential values in each laboratory which conducts these assays. The average neopterin levels in this population show almost two-fold increases regarding various reports using different manufacturers of ELISAs. As our results are very different from other reports and need to be discussed with a different analysis, we had to define an individual cut-off point for this population with current results. This study provides a reference value for neopterin concentrations with 19.0 nmol/L as the upper limit. Regarding the manufacturer’s kit manual, values obtained from the literature and our previous pteridine studies, normal levels of neopterin in adults are found to range between 3.7 and 19 nmol/L [24, 26, 27]. Concerning these lower and upper limits, in all participants 97.4% had neopterin levels in the normal range and 2.6% had high neopterin levels. In a study performed in the same center in 2005 by Fisenk et al., the prevalence of elevated neopterin levels was found to be 5.1% [6]. If these results are extrapolated to country, it can be considered that 2.5% of donations could not be used for blood transfusion. Regarding the fact that blood donation is not very common and the public are not aware of the importance of transfusion, this ratio is an important loss.

The effect of age on measured parameters was also investigated. Although there is no subject over 65 years of age in our study, in accordance with Frick et al. [25], it was observed that age and tryptophan levels were negatively correlated, whereas all other measured parameters were positively correlated. Neopterin levels were shown to change with age despite conflicting results [17, 25, 28–30].

Pertovaara et al. have reported that IDO activity was lower in smokers compared with non-smokers [31]. Similarly, neopterin concentrations were also reported to be lower in smokers than non-smokers [16]. However, in the present study, smoking was found to have no effect on neopterin, tryptophan, kynurenine levels and IDO activity. This may result from the relatively small number of participants.

Murr et al. have investigated neopterin status in a broad donor group and found that neopterin levels were higher in O blood type compared with A, B and AB blood types [32]. In a study performed in Turkey, 17 donors with elevated neopterin levels were blood types O (7 donors), A (7 donors) and B (3 donors) (A. Yağmuroğlu, unpublished). In our study, the donors with the five highest neopterin concentrations were O (1 donor) and A (4 donors) blood type.

Early and safe biomarkers are needed to determine possible changes in the organism, especially in routine analysis. Biomarkers are believed to decrease and even prevent primary and/or secondary health problems and economic loss. To increase the safety of blood transfusion, routine neopterin screening will be more economic and less time consuming. With neopterin screening, transfusions can be safer as it is possible to detect various infections that cannot be detected with serological tests such as mutant bacterial infections, pseudo-negative results, technical or staff errors.

In conclusion, as neopterin screening tests such as ELISA are cheaper and do not need an experienced technician, it is recommended to have routine neopterin screening in blood banks. In this regard, early diagnosis and medication will be possible and further health expenses will be prevented. Thus, applying neopterin analysis in blood banks in parallel with routine screening tests will help to reduce infection transmissions and increase safer transfusions.


Corresponding author: Prof. Dr. Terken Baydar, Faculty of Pharmacy, Toxicology Department, Hacettepe University, 06100 Sihhiye, Ankara, Turkey

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Received: 2013-3-25
Accepted: 2013-3-29
Published Online: 2013-05-11
Published in Print: 2013-06-01

©2013 by Walter de Gruyter Berlin Boston

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  15. Endothelial dysfunction, cardiovascular diseases
  16. Tetrahydrobiopterin protects soluble guanylate cyclase against oxidative inactivation
  17. Immune activation and inflammation in patients with cardiovascular disease are associated with elevated phenylalanine-to-tyrosine ratios
  18. Malignant diseases treatment
  19. Thymidylate synthase inhibitors for thoracic tumors
  20. Polymorphisms correlated with the clinical outcome of locally advanced or metastatic colorectal cancer patients treated with ALIRI vs. FOLFIRI
  21. Folate homeostasis of cancer cells affects sensitivity to not only antifolates but also other non-folate drugs: effect of MRP expression
  22. Enzymology folates
  23. Crystal structures of thymidylate synthase from nematodes, Trichinella spiralis and Caenorhabditis elegans, as a potential template for species-specific drug design
  24. Crystal structures of complexes of mouse thymidylate synthase crystallized with N4-OH-dCMP alone or in the presence of N5,10-methylenetetrahydrofolate
  25. Enzymology pterins
  26. First insights into structure-function relationships of alkylglycerol monooxygenase
  27. Fatty aldehyde dehydrogenase, the enzyme downstream of tetrahydrobiopterin-dependent alkylglycerol monooxygenase
  28. Expression of full-length human alkylglycerol monooxygenase and fragments in Escherichia coli
  29. Enzyme occurrence and function in model organisms
  30. The diverse biological functions of glutathione S-transferase omega in Drosophila
  31. Uncommon and parallel developmental patterns of thymidylate synthase expression and localization in Trichinella spiralis and Caenorhabditis elegans
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