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Volume 56, Issue 1


Reference values of fecal calgranulin C (S100A12) in school aged children and adolescents

Anke HeidaORCID iD: http://orcid.org/0000-0001-5429-1884 / Anneke C. Muller Kobold
  • Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
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/ Lucie Wagenmakers
  • Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
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/ Koos van de Belt
  • Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
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/ Patrick F. van Rheenen
  • Corresponding author
  • Department of Pediatric Gastroenterology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
  • Email
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Published Online: 2017-07-14 | DOI: https://doi.org/10.1515/cclm-2017-0152



Calgranulin C (S100A12) is an emerging marker of inflammation. It is exclusively released by activated neutrophils which makes this marker potentially more specific for inflammatory bowel disease (IBD) compared to established stool markers including calprotectin and lactoferrin. We aimed to establish a reference value for S100A12 in healthy children and investigated whether S100A12 levels can discriminate children with IBD from healthy controls.


In a prospective community-based reference interval study we collected 122 stool samples from healthy children aged 5–19 years. Additionally, feces samples of 41 children with suspected IBD (who were later confirmed by endoscopy to have IBD) were collected. Levels of S100A12 were measured with a sandwich enzyme-linked immunosorbent assay (ELISA) (Inflamark®). The limit of detection was 0.22 μg/g.


The upper reference limit in healthy children was 0.75 μg/g (90% confidence interval: 0.30–1.40). Median S100A12 levels were significantly higher in patients with IBD (8.00 μg/g [interquartile range (IQR) 2.5–11.6] compared to healthy controls [0.22 μg/g (IQR<0.22); p<0.001]). The best cutoff point based on receiver operating characteristic curve was 0.33 μg/g (sensitivity 93%; specificity 97%).


Children and teenagers with newly diagnosed IBD have significantly higher S100A12 results compared to healthy individuals. We demonstrate that fecal S100A12 shows diagnostic promise under ideal testing conditions. Future studies need to address whether S100A12 can discriminate children with IBD from non-organic disease in a prospective cohort with chronic gastrointestinal complaints, and how S100A12 performs in comparison with established stool markers.

This article offers supplementary material which is provided at the end of the article.

Keywords: adolescent; child; inflammatory bowel disease; reference value; S100A12 protein; S100 proteins

Article note:

An interim analysis of this study was orally presented at the ESPGHAN Annual Meeting in Athens in 2016.


Fecal markers are increasingly used as a screening test to select children with high suspicion of inflammatory bowel disease (IBD) for diagnostic endoscopy [1]. Fecal calprotectin (S100A8/A9) is the most studied fecal marker for intestinal inflammation. According to a recently published meta-analysis (nine studies, describing 853 patients), fecal calprotectin has a high overall sensitivity of 97% (95% confidence interval [CI] 92%–99%) and a moderate specificity of 70% (95% CI 59%–79%) for diagnosing IBD [2]. A calprotectin test result in the reference range will thus rule out IBD. This can easily be remembered with the mnemonic SnNOut – (i.e. when performing a test with high sensitivity [Sn], a negative result [N] rules out [Out] the target disease). The downside of using calprotectin as screening test is that a considerable proportion of the children with increased fecal calprotectin values and negative stool cultures (22%) do not have IBD, and will be unnecessary selected for endoscopy and biopsy [3], [4].

Fecal calgranulin C

Fecal calgranulin C (S100A12) is significantly less investigated [5] and largely unknown among clinicians as a screening test for IBD. Both S100A12 and calprotectin are member of the S100 calcium-binding protein family and are released from the inflamed mucosa into the gut lumen [5]. S100A12 acts independently from calprotectin [6], and is exclusively released by activated neutrophils, while calprotectin is released from a multitude of activated and damaged cells including granulocytes, monocytes, and epithelial cells. As infiltration of neutrophils into the intestinal mucosa is one of the most prominent histological features in IBD, we think that S100A12 is possibly more specific for IBD-associated inflammation than calprotectin [7], [8]. Both markers are stable for 3–7 days at room temperature, enabling stool collection at home and easy transportation to the hospital laboratory [9], [10]. Calprotectin as well as S100A12 concentrations in stools of healthy volunteers show a downward trend with age from birth and reach stable values by the age of 5 [11], [12], [13], [14], [15], [16], [17].

Study aim

In this study we aim to establish a reference value for S100A12 in healthy children aged 5 and above. Secondly, we investigated if the S100A12 stool test can discriminate children with newly diagnosed IBD from healthy controls.

Materials and methods

Healthy participants

We collected stool samples of healthy school-aged children and teenagers in a prospective community-based reference interval study that ran between June 2015 and March 2016. Teenagers were recruited from a secondary school in Groningen (The Netherlands), while representatives of the younger age group were enrolled via colleagues and friends. Participants were eligible for inclusion when they had no history of chronic gastro-intestinal disease, and no acute diarrhea or use of non-steroidal anti-inflammatory drugs in the week before stool collection. Girls were advised not to collect a stool sample during their menstrual period.

IBD patients

Children and teenagers with newly diagnosed IBD who had sent in a feces sample <6 weeks prior to the confirmatory endoscopy were used for comparison. The diagnosis IBD was based on the criteria of the European Society for Pediatric Gastroenterology Hepatology and Nutrition [18]. The stool samples of these patients were stored for the CACATU-study. This trial is registered under identifier NCT02197780 in ClinicalTrials.gov, and entails a prospective diagnostic study that evaluates the test accuracy of fecal calprotectin and S100A12 in children with suspected IBD. The stool samples were used with permission of the patients and their legal guardians for the current study.

Stool collection and analysis

Participants defecated onto a stool collection sheet (Alere Health BV, The Netherlands) held above their own toilet and collected one sample with a classical screw top container with spoon, which was then sent to the department of Laboratory Medicine in the University Medical Centre Groningen in a plastic postage-paid return envelope. Transportation time varied between 1 and 7 days, after which the samples were stored at −80 °C until analysis. Maximum storage time was 6 months. All samples were measured between August 2015 and June 2016 by one experienced lab technician (LW), who was blinded for clinical symptoms of patients. S100A12 analyses were performed with a commercially available sandwich enzyme-linked immunosorbent assay (ELISA) (Inflamark®, CisBio Bioassays Codolet, France) on a Dynex DS2 Automated ELISA System (Alpha Labs, Easleigh, UK).

Prior to extraction, fecal samples were thawed at room temperature and 100 mg of the homogenized feces was suspended in 1:50 extraction buffer. After vigorous vortex mixing for 30 s and incubating on a tube rotator for 25 min, we transferred ~1–2 mL of homogenate to an Eppendorf type tube and centrifuged it at 17,100 g for 5 min and subsequently diluted the samples 50 times. One hundred microliters aliquots in duplicate of the supernatant were then added to the wells coated with anti-S100A12 monoclonal antibody of bovine serum albumin. After incubation for 30 min at 600 rpm, the plates were washed three times with 300 μL/well of washing buffer (3 mL Tween 20 in 1 L distilled water). Then 100 μL of a second monoclonal antibody (anti-S100A12 coupled to horse radish-peroxidase) was added, and the plate was again incubated for 30 min at 600 rpm and washed. Next 100 μL of tetramethylbenzidine substrate was added to initiate the colorimetric reaction. After 10 min the reaction was stopped by adding 100 μL of sulfuric acid. The absorbance was read at 450 nm. The ELISA was calibrated with purified human S100A12 protein. The calibrator was ready to use after reconstitution with 0.5 mL distilled water. For each duplicate, the mean optical density was calculated and a calibration curve was constructed. The curve was plotted as a cubic regression with DS-matrix software, version 1.23.

Manufacturer’s performance claims are presented in Supplementary Data 1. We verified analytical sensitivity (limit of detection, LOD), between-test variation and within-test variation with the automated DS2 in our laboratory. We calculated the analytical sensitivity by measuring the extraction fluid 10-times (limit of blank, LOB) in one ELISA run and calculated the LOD at 2 standard deviations (SDs) of the LOB. We determined the between-run variation using the duplicates of the kit control (20 runs) and by selecting three feces pools around the same levels as the manufacturers’ claims and determined the variation between five ELISA runs (each pooled sample measured in duplicate). For the within-run variation we used also three feces pools (low, intermediate, high). First, we measured one extract 20-times in one ELISA plate, and then we repeated the extraction from each pool 10-times and measured the duplicates on one plate.

Data collection and statistics

Demographic information and stool results were recorded electronically using SPSS version 22.0 for Windows (SPSS, Chicago, IL, USA) and are presented with GraphPad Prism version 5 for Windows (GraphPad Software, San Diego, CA, USA). Standard descriptive statistics were used. Not normally distributed variables are presented as median and interquartile range (IQR) and tested using the Mann-Whitney U-test. All tests were two sided and the level of significance was set at a p-value <0.05. Reference values were calculated by using the simple nonparametric method presented in the Clinical and Laboratory Standards Institute (CLSI) guideline C28-A2 [19]. Outliers were detected by performing Dixon’s test and interpreted according to Reeds’ criteria: absolute difference between extreme observation and the next largest observation (D), divided by the range of all observations (R) [20]. If the difference D was equal to or greater than one-third of the range of R, the extreme value was deleted [21].

The upper reference limit in healthy subjects was defined as the 97.5th percentile of observations (rank 118.95) [19]. A 90% confidence interval (CI) around the upper reference limit was determined using the 115 and 121 rank number.

We evaluated the diagnostic accuracy of S100A12 for IBD with a receiver operating characteristic (ROC) curve analysis. Sensitivity and specificity for the best cut-off point were calculated with their 95% CIs.

Human patients protection

This study was performed according to the Declaration of Helsinki. The Medical Ethics Review Committee of the University Medical Centre Groningen confirmed that this study and the earlier mentioned CACATU-study were not subject to the Dutch Medical Research Involving Human Subjects Act. The data were collected and recorded by the investigators in such a manner that subjects could not be identified, neither directly nor through identifiers linked to the subjects. The legal guardians from all participants, as well as the children aged 12 and above, gave informed consent for participation.


We tested 122 stool samples from healthy children and 41 from patients. The baseline characteristics are presented in Table 1.

Table 1:

Characteristics of participants.

Reference value calgranulin C (healthy children)

One outlier was detected according to Dixon and Reed criteria for outliers [21]. This value (5.02 μg/g) was excluded from further analysis. The distribution of the remaining 121 S100A12 measurements is shown in Figure 1. One hundred and ten (91%) children presented with a level below the LOD. The upper reference limit (97.5 percentile) was 0.75 μg/g (90% CI 0.30–1.40).

Distribution of fecal calgranulin C (S100A12) test results in healthy children and children with newly diagnosed IBD.
Figure 1:

Distribution of fecal calgranulin C (S100A12) test results in healthy children and children with newly diagnosed IBD.

None of the healthy children had IBD-affected first-degree relatives. Sixteen participants (13%) reported the use of medication that is unlikely to influence the test results. Among them were 10 who incidentally used inhalation therapy for allergic rhinitis or asthma, while others used zopiclon, methylphenidate, incidentally polyethylene glycol, oral contraceptives (2×), or growth hormone. A sensitivity analysis comparing the reference values of patient with and without medication was not significantly different (data not shown). We did not observe any difference in mean (SD) S100A12 results when the cohort was divided into the age categories 5–11 years and 12–19 years, (respectively, 0.25±0.18 μg/g and 0.24±0.11 μg/g [p=0.63]). Differences in fecal S100A12 levels between boys and girls were not found (data not shown).

Diagnostic accuracy calgranulin C

Median fecal S100A12 level in children with IBD was 8.02 μg/g (IQR 2.3–11.4) and was significantly higher compared to healthy children (Figure 1). Twenty-one children were diagnosed with Crohn’s disease, 19 with ulcerative colitis and one with IBD-unclassified. Median S100A12 levels were highest in children with ulcerative colitis compared to children with Crohn’s disease (respectively, 11.0 μg/g [IQR 7.5–28.7] and 6.7 μg/g [IQR 1.3–10.4, p=0.03]).

The ROC curve depicted in Figure 2 shows that the ideal cut-off point to distinguish children with IBD from healthy controls leads to a sensitivity of 93% (95% CI 81–99) and a specificity of 97% (95% CI 92–99). This cut-off point corresponds with a S100A12 value of 0.33 μg/g. The earlier estimated upper reference limit (0.75 μg/g) leads to a sensitivity of 86% (95% CI 71–95) and a specificity of 98% (95% CI 93–100).

Receiver operating characteristic (ROC) curve of fecal calgranulin C (S100A12). Area under the curve (AUC) is 0.97 (95% CI 0.93–1.00).
Figure 2:

Receiver operating characteristic (ROC) curve of fecal calgranulin C (S100A12).

Area under the curve (AUC) is 0.97 (95% CI 0.93–1.00).

Table 2:

Overview of literature on fecal S100A12.


Main findings

In this paper we present for the first time the normal value of S100A12 using a commercially available testkit. We found that the majority of healthy children had S100A12 levels below the detection limit. We hypothesize that in the absence of excessive recruitment and accumulation of activated neutrophils in the intestinal lumen, which is observed under pathological conditions such as IBD, S100A12 can hardly be found in the stool [26]. Secondly, we found excellent diagnostic power to distinguish children with newly diagnosed IBD from healthy controls.

Comparison with other literature

Diagnostic test development can be divided into four different phases [27]. In Table 2 we summarized the literature on fecal S100A12 with respect to these four phases. We found one study that described S100A12 levels in a cohort of healthy Australian infants and New Zealander children [17]. Although this cohort was too small to report reliable reference values according to the CLSI guidelines [19], it showed a trend towards consistently low levels of S100A12 in children older than 5 years, with more divergent levels of S100A12 below this age, similar to reference values of stool calprotectin [13], [16], [17].

The best cutoff point to distinguish healthy children from those with newly diagnosed IBD in our study population (0.33 μg/g) was substantially lower than previously reported cutoff points (0.8 μg/g [25] and 10 μg/g [10]). Differences are likely to be explained by differences in used assays and selection of patients. At all events, the studies agreed on the excellent diagnostic accuracy of the S100A12 stool test to distinguish patients with IBD from controls [7], [10], [25].


The performance of the S100A12 testkit is potentially biased due to the case-control design. We compared a preselected group of patients with an established diagnosis and healthy individuals (rather than testing a group of patients merely suspected of IBD). It tells us that the S100A12 test shows diagnostic promise under ideal conditions. By establishing the pediatric reference range for fecal S100A12 biomarker, we have taken an important first step toward harnessing the full potential of S100A12 in the pediatric population. Future studies need to address whether S100A12 can discriminate children with IBD from non-organic disease in a prospective cohort with chronic gastrointestinal complaints, and how S100A12 performs in comparison with established stool markers like fecal calprotectin.


The upper reference value of fecal S100A12 in healthy children aged 5 and above measured with a commercially available assay is 0.75 μg/g. S100A12 shows diagnostic promise under ideal testing conditions with an ideal cut-off of 0.33 μg/g.


We would like to thank Hanna van Rheenen (a student from Werkman Stadslyceum Groningen) for enthusing her fellow students to send in a stool sample, and all volunteers (and parents) who sent in a stool sample.


  • 1.

    van Rheenen PF, Van de Vijver E, Fidler V. Faecal calprotectin for screening of patients with suspected inflammatory bowel disease: diagnostic meta-analysis. Br Med J 2010;341:c3369. CrossrefWeb of ScienceGoogle Scholar

  • 2.

    Degraeuwe PL, Beld MP, Ashorn M, Canani RB, Day AS, Diamanti A, et al. Faecal calprotectin in suspected paediatric inflammatory bowel disease. J Pediatr Gastroenterol Nutr 2015;60: 339–46. Web of ScienceCrossrefPubMedGoogle Scholar

  • 3.

    Van de Vijver E, Schreuder AB, Cnossen WR, Muller Kobold AC, van Rheenen PF. Safely ruling out inflammatory bowel disease in children and teenagers without referral for endoscopy. Arch Dis Child 2012;97:1014–8. Web of ScienceCrossrefPubMedGoogle Scholar

  • 4.

    Heida A, Holtman GA, Lisman-Van Leeuwen Y, Berger MY, Van Rheenen PF. Avoid endoscopy in children with suspected inflammatory bowel disease who have normal calprotectin levels. J Pediatr Gastroenterol Nutr 2016;62:47–9. PubMedCrossrefWeb of ScienceGoogle Scholar

  • 5.

    Däbritz J, Musci J, Foell D. Diagnostic utility of faecal biomarkers in patients with irritable bowel syndrome. World J Gastroenterol 2014;20:363–75. CrossrefWeb of SciencePubMedGoogle Scholar

  • 6.

    Foell D, Wittkowski H, Roth J. Monitoring disease activity by stool analyses: from occult blood to molecular markers of intestinal inflammation and damage. Gut 2009;58:859–68. CrossrefPubMedWeb of ScienceGoogle Scholar

  • 7.

    Sidler MA, Leach ST, Day AS. Fecal S100A12 and fecal calprotectin as noninvasive markers for inflammatory bowel disease in children. Inflamm Bowel Dis 2008;14:359–66. Web of ScienceCrossrefPubMedGoogle Scholar

  • 8.

    Foell D, Wittkowski H, Ren Z, Turton J, Pang G, Daebritz J, et al. Phagocyte-specific S100 proteins are released from affected mucosa and promote immune responses during inflammatory bowel disease. J Pathol 2008:183–92. PubMedWeb of ScienceGoogle Scholar

  • 9.

    Lasson A, Stotzer P-O, Ohman L, Isaksson S, Sapnara M, Strid H. The intra-individual variability of faecal calprotectin: a prospective study in patients with active ulcerative colitis. J Crohn’s Colitis 2015;9:26–32. Google Scholar

  • 10.

    de Jong NS, Leach ST, Day AS. Fecal S100A12: a novel noninvasive marker in children with Crohn’s disease. Inflamm Bowel Dis 2006;12:566–72. PubMedCrossrefGoogle Scholar

  • 11.

    Olafsdottir E, Aksnes L, Fluge G, Berstad A. Faecal calprotectin levels in infants with infantile colic, healthy infants, children with inflammatory bowel disease, children with recurrent abdominal pain and healthy children. Acta Paediatr 2002;91:45–50. CrossrefPubMedGoogle Scholar

  • 12.

    Hestvik E, Tumwine JK, Tylleskar T, Grahnquist L, Ndeezi G, Kaddu-Mulindwa DH, et al. Faecal calprotectin concentrations in apparently healthy children aged 0–12 years in urban Kampala, Uganda: a community-based survey. BMC Pediatr 2011;11:9. CrossrefWeb of SciencePubMedGoogle Scholar

  • 13.

    Oord T, Hornung N. Fecal calprotectin in healthy children. Scand J Clin Lab Invest 2014;74:254–8. Web of ScienceCrossrefPubMedGoogle Scholar

  • 14.

    Zhu Q, Li F, Wang J, Shen L, Sheng X. Fecal calprotectin in healthy children aged 1–4 years. PLoS One 2016;11:e0150725. CrossrefPubMedWeb of ScienceGoogle Scholar

  • 15.

    Fagerberg UL, Lööf L, Merzoug RD, Hansson L-O, Finkel Y. Fecal calprotectin levels in healthy children studied with an improved assay. J Pediatr Gastroenterol Nutr 2003;37:468–72. CrossrefPubMedGoogle Scholar

  • 16.

    Rugtveit J, Fagerhol MK. Age-dependent variations in fecal calprotectin concentrations in children. J Pediatr Gastroenterol Nutr 2002;34:323–4, 324–5. CrossrefGoogle Scholar

  • 17.

    Day AS, Ehn M, Gearry RB, Lemberg DA, Leach ST. Fecal S100A12 in healthy infants and children. Dis Markers 2013;35:295–9. Web of ScienceCrossrefPubMedGoogle Scholar

  • 18.

    Levine A, Koletzko S, Turner D, Escher JC, Cucchiara S, de Ridder L, et al. ESPGHAN revised porto criteria for the diagnosis of inflammatory bowel disease in children and adolescents. J Pediatr Gastroenterol Nutr 2014;58:795–806. Web of ScienceGoogle Scholar

  • 19.

    CLSI. Defining, establishing, and verifying reference intervals in the clinical laboratory; approved guideline, 3rd ed. CLSI document C28-A3c. Wayne, PA: Clinical and Laboratory Standards Institute; 2008. Google Scholar

  • 20.

    Dixon W. Processing data for ourliers. Biometrics 1953;9:74–89. CrossrefGoogle Scholar

  • 21.

    Reed AH, Henry RJ, Mason WB. Influence of statistical method used on the resulting estimate of normal range. Clin Chem 1971;17:275–84. PubMedGoogle Scholar

  • 22.

    Nylund CM, D’Mello S, Kim M-O, Bonkowski E, Däbritz J, Foell D, et al. Granulocyte macrophage-colony-stimulating factor autoantibodies and increased intestinal permeability in Crohn disease. J Pediatr Gastroenterol Nutr 2011;52:542–8. PubMedCrossrefWeb of ScienceGoogle Scholar

  • 23.

    Foell D, Kucharzik T, Kraft M, Vogl T, Sorg C, Domschke W, et al. Neutrophil derived human S100A12 (EN-RAGE) is strongly expressed during chronic active inflammatory bowel disease. Gut 2003;52:847–53. CrossrefPubMedGoogle Scholar

  • 24.

    Yang Z, Tao T, Raftery MJ, Youssef P, Di Girolamo N, Geczy CL. Proinflammatory properties of the human S100 protein S100A12. J Leukoc Biol 2001;69:986–94. PubMedGoogle Scholar

  • 25.

    Kaiser T, Langhorst J, Wittkowski H, Becker K, Friedrich AW, Rueffer A, et al. Faecal S100A12 as a non-invasive marker distinguishing inflammatory bowel disease from irritable bowel syndrome. Gut 2007;56:1706–13. Web of ScienceCrossrefPubMedGoogle Scholar

  • 26.

    Fournier BM, Parkos CA. The role of neutrophils during intestinal inflammation. Mucosal Immunol 2012;5:354–66. Web of SciencePubMedCrossrefGoogle Scholar

  • 27.

    Sackett DL, Haynes RB. The architecture of diagnostic research. Br Med J 2002;324:539–41. CrossrefGoogle Scholar

Supplemental Material:

The online version of this article (https://doi.org/10.1515/cclm-2017-0152) offers supplementary material, available to authorized users.

About the article

Corresponding author: Patrick F. van Rheenen, MD, PhD, Department of Pediatric Gastroenterology, University Medical Center Groningen, University of Groningen, Internal Code CA 31, PO Box 30001, 9700 RB Groningen, The Netherlands, Phone: +31 30 3614147

Received: 2017-02-22

Accepted: 2017-04-25

Published Online: 2017-07-14

Published in Print: 2017-11-27

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

Research funding: This study was supported by CisBio Bioassay, Codolet, France (developer and producer of Inflamark®). Trial registry: Clinical trials.gov NCT02588222.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Citation Information: Clinical Chemistry and Laboratory Medicine (CCLM), Volume 56, Issue 1, Pages 126–131, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/cclm-2017-0152.

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