Home Development and validation of a mass spectrometry-based assay for quantification of insulin-like factor 3 in human serum
Article
Licensed
Unlicensed Requires Authentication

Development and validation of a mass spectrometry-based assay for quantification of insulin-like factor 3 in human serum

  • Jakob Albrethsen ORCID logo EMAIL logo , Hanne Frederiksen , Anna-Maria Andersson , Ravinder Anand-Ivell , Loa Nordkap , Anne Kirstine Bang , Niels Jørgensen and Anders Juul
Published/Copyright: May 30, 2018

Abstract

Background:

The circulating level of the peptide hormone insulin-like factor 3 (INSL3) is a promising diagnostic marker reflecting Leydig cell function in the male. Few commercial immunoassays of varying quality exist. Therefore, we decided to develop and validate a precise method for quantification of INSL3 by mass spectrometry.

Methods:

We developed an assay in which the INSL3 A-chain is released from the INSL3 A-B heterodimer by chemical reduction and alkylation. The alkylated INSL3 A-chain is quantitated by liquid chromatography-tandem mass spectrometry (LC-MS/MS), as substitute for serum INSL3. The method was compared to a validated and sensitive in-house serum INSL3 immunoassay using 97 serum samples from 12 healthy boys during pubertal transition. Adult levels were determined based on sera from 72 adult healthy males aged 18–40 years.

Results:

An LC-MS/MS assay with limit of detection and limit of quantification (LOQ) of 0.06 and 0.15 ng/mL, respectively, and intra-assay CVs <9% in the relevant ranges was obtained. The LC-MS/MS compared well with the in-house immunoassay (Deming regression slope: 1.28; Pearson correlation: R=0.86). INSL3 concentrations increased with pubertal maturation in healthy boys. INSL3 concentrations were above the LOQ in all samples from the adult men. The mean (±2 SD range)for serum INSL3 concentrations in the adult men was 2.2 (0.5–3.9) ng/mL.

Conclusions:

We have developed a robust and sensitive method suitable for quantitation of serum INSL3 in a clinical setting using LC-MS/MS instrumentation available in modern clinical laboratories. The method paves the way for future studies into the clinical role of serum INSL3 measurements.

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

  2. Research funding: Innovation Fund Denmark 14-2013-4; International Center for Research, and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC); ReproUnion.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. 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.

References

1. Ivell R, Anand-Ivell R. Biology of insulin-like factor 3 in human reproduction. Hum Reprod Update 2009;15:463–76.10.1093/humupd/dmp011Search in Google Scholar PubMed

2. Bay K, Andersson AM. Human testicular insulin-like factor 3: in relation to development, reproductive hormones and andrological disorders. Int J Androl 2011;34:97–109.10.1111/j.1365-2605.2010.01074.xSearch in Google Scholar PubMed

3. Ivell R, Anand-Ivell R. Biological role and clinical significance of insulin-like peptide 3. Curr Opin Endocrinol Diabetes Obes 2011;18:210–6.10.1097/MED.0b013e3283453fe6Search in Google Scholar PubMed

4. Grebe SK, Singh RJ. LC-MS/MS in the clinical laboratory – where to from here? Clin Biochem Rev 2011;32:5–31.Search in Google Scholar

5. Anderson NL, Anderson NG. The human plasma proteome: history, character, and diagnostic prospects. Mol Cell Proteomics 2002;1:845–67.10.1074/mcp.A300001-MCP200Search in Google Scholar

6. Anand-Ivell R, Wohlgemuth J, Haren MT, Hope PJ, Hatzinikolas G, Wittert G, et al. Peripheral INSL3 concentrations decline with age in a large population of Australian men. Int J Androl 2006;29:618–26.10.1111/j.1365-2605.2006.00714.xSearch in Google Scholar PubMed

7. Schwenk JM, Omenn GS, Sun Z, Campbell DS, Baker MS, Overall CM, et al. The human plasma proteome draft of 2017: building on the human plasma peptideAtlas from mass spectrometry and complementary assays. J Proteome Res 2017;16:4299–310.10.1021/acs.jproteome.7b00467Search in Google Scholar PubMed PubMed Central

8. Lynch KL. CLSI C62-A: a new standard for clinical mass spectrometry. Clin Chem 2016;62:24–9.10.1373/clinchem.2015.238626Search in Google Scholar PubMed

9. Büllesbach EE, Schwabe C. The primary structure and the disulfide links of the bovine relaxin-like factor (RLF). Biochemistry 2002;41:274–81.10.1021/bi0117302Search in Google Scholar PubMed

10. Johansen ML, Anand-Ivell R, Mouritsen A, Hagen CP, Mieritz MG, Søeborg T, et al. Serum levels of insulin-like factor 3, anti-Mullerian hormone, inhibin B, and testosterone during pubertal transition in healthy boys: a longitudinal pilot study. Reproduction 2014;147:529–35.10.1530/REP-13-0435Search in Google Scholar PubMed

11. Bang AK, Nordkap L, Almstrup K, Priskorn L, Petersen JH, Rajpert-De Meyts E, et al. Dynamic GnRH and hCG testing: establishment of new diagnostic reference levels. Eur J Endocrinol 2107;176:379–91.10.1530/EJE-16-0912Search in Google Scholar PubMed

12. Anand-Ivell R, Tremellen K, Dai Y, Heng K, Yoshida M, Knight PG, et al. Circulating insulin-like factor 3 (INSL3) in healthy and infertile women. Hum Reprod 2013;28:3093–102.10.1093/humrep/det349Search in Google Scholar PubMed

13. Søeborg T, Frederiksen H, Johannsen TH, Andersson AM, Juul A. Isotope-dilution TurboFlow-LC-MS/MS method for simultaneous quantification of ten steroid metabolites in serum. Clin Chim Acta 2017;468:180–6.10.1016/j.cca.2017.03.002Search in Google Scholar PubMed

14. Kawamura K, Kumagai J, Sudo S, Chun SY, Pisarska M, Morita H, et al. Paracrine regulation of mammalian oocyte maturation and male germ cell survival. Proc Natl Acad Sci USA 2004;101:7323–8.10.1073/pnas.0307061101Search in Google Scholar PubMed PubMed Central

15. Ferlin A, Pepe A, Gianesello L, Garolla A, Feng S, Giannini S, et al. Mutations in the insulin-like factor 3 receptor are associated with osteoporosis. J Bone Miner Res 2008;23:683–93.10.1359/jbmr.080204Search in Google Scholar PubMed PubMed Central

16. Roth MY, Lin K, Bay K, Amory JK, Anawalt BD, Matsumoto AM, et al. Serum insulin-like factor 3 is highly correlated with intratesticular testosterone in normal men with acute, experimental gonadotropin deficiency stimulated with low-dose human chorionic gonadotropin: a randomized, controlled trial. Fertil Steril 2013;99:132–9.10.1016/j.fertnstert.2012.09.009Search in Google Scholar PubMed PubMed Central

17. Bay K, Hartung S, Ivell R, Schumacher M, Jürgensen D, Jorgensen N, et al. Insulin-like factor 3 serum levels in 135 normal men and 85 men with testicular disorders: relationship to the luteinizing hormone-testosterone axis. J Clin Endocrinol Metab 2005;90:3410–8.10.1210/jc.2004-2257Search in Google Scholar PubMed

18. Ermetici F, Donadio F, Lorio L, Malavazos AE, Dolci A, Peverelli E, et al. Peripheral insulin-like factor 3 concentrations are reduced in men with type 2 diabetes mellitus: effect of glycemic control and visceral adiposity on Leydig cell function. Eur J Endocrinol 2009;161:853–9.10.1530/EJE-09-0203Search in Google Scholar PubMed

19. Rohayem J, Fricke R, Czeloth K, Mallidis C, Wistuba J, Krallmann C, et al. Age and markers of Leydig cell function, but not of Sertoli cell function predict the success of sperm retrieval in adolescents and adults with Klinefelter’s syndrome. Andrology 2015;3:868–75.10.1111/andr.12067Search in Google Scholar PubMed

20. Foresta C, Bettella A, Vinanzi C, Dabrilli P, Meriggiola MC, Garolla A, et al. A novel circulating hormone of testis origin in humans. J Clin Endocrinol Metab 2004;89:5952–8.10.1210/jc.2004-0575Search in Google Scholar PubMed

21. Trabado S, Maione L, Bry-Gauillard H, Affres H, Salenave S, Sarfati J, et al. Insulin-like peptide 3 (INSL3) in men with congenital hypogonadotropic hypogonadism/Kallmann syndrome and effects of different modalities of hormonal treatment: a single-center study of 281 patients. J Clin Endocrinol Metab 2014;99:E268–75.10.1210/jc.2013-2288Search in Google Scholar PubMed

22. Chang WH, Li SS, Wu MH, Pan HA, Lee CC. Phthalates might interfere with testicular function by reducing testosterone and insulin-like factor 3 levels. Hum Reprod 2015;30:2658–70.10.1093/humrep/dev225Search in Google Scholar PubMed

23. Loo JA, Edmonds CG, Smith RD. Tandem mass spectrometry of very large molecules. 2. Dissociation of multiply charged proline-containing proteins from electrospray ionization. Anal Chem 1993;65:425–38.10.1021/ac00052a020Search in Google Scholar PubMed

24. Degroeve S, Maddelein D, Martens L. MS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation. Nucleic Acids Res 2015;43:W326–30.10.1093/nar/gkv542Search in Google Scholar PubMed PubMed Central

25. Hossain MA, Wade JA. Novel methods for the chemical synthesis of insulin superfamily peptides and of analogues containing disulfide isosteres. Acc Chem Res 2017;50:2116–27.10.1021/acs.accounts.7b00288Search in Google Scholar PubMed

26. Thevis M, Thomas A, Delahaut P, Bosseloir A, Schänzer W. Qualitative determination of synthetic analogues of insulin in human plasma by immunoaffinity purification and liquid chromatography-tandem mass spectrometry for doping control purposes. Anal Chem 2005;77:3579–85.10.1021/ac050066iSearch in Google Scholar PubMed


Supplementary Material:

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2018-0171).


Received: 2018-02-14
Accepted: 2018-05-03
Published Online: 2018-05-30
Published in Print: 2018-10-25

©2018 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. New biomarkers and traditional cardiovascular risk scores: any crystal ball for current effective advice and future exact prediction?
  4. Reviews
  5. Laboratory sample stability. Is it possible to define a consensus stability function? An example of five blood magnitudes
  6. Updated review of postmortem biochemical exploration of hypothermia with a presentation of standard strategy of sampling and analyses
  7. Long non-coding RNA-mediated regulation of signaling pathways in gastric cancer
  8. Opinion Paper
  9. Long story short: an introduction to the short-term and longterm Six Sigma quality and its importance in laboratory medicine for the management of extra-analytical processes
  10. EFLM Paper
  11. The European Federation of Clinical Chemistry and Laboratory Medicine syllabus for postgraduate education and training for Specialists in Laboratory Medicine: version 5 – 2018
  12. General Clinical Chemistry and Laboratory Medicine
  13. Early availability of laboratory results increases same day ward discharge rates
  14. Evaluation of the clinical implementation of a large-scale online e-learning program on venous blood specimen collection guideline practices
  15. Improved prospective risk analysis for clinical laboratories compensated for the throughput in processes
  16. National surveys on internal quality control for blood gas analysis and related electrolytes in clinical laboratories of China
  17. Clinical validation of S100B in the management of a mild traumatic brain injury: issues from an interventional cohort of 1449 adult patients
  18. A quantitative LC-MS/MS method for insulin-like growth factor 1 in human plasma
  19. Development and validation of a mass spectrometry-based assay for quantification of insulin-like factor 3 in human serum
  20. Anti-ganglioside antibodies: experience from the Italian Association of Neuroimmunology external quality assessment scheme
  21. Reference Values and Biological Variations
  22. Improving IBD diagnosis and monitoring by understanding preanalytical, analytical and biological fecal calprotectin variability
  23. Establishing normal values of total testosterone in adult healthy men by the use of four immunometric methods and liquid chromatography-mass spectrometry
  24. Cancer Diagnostics
  25. Exploring the potential of mucin 13 (MUC13) as a biomarker for carcinomas and other diseases
  26. Cardiovascular Diseases
  27. Prognostic implications of detectable cardiac troponin I below the 99th percentile in patients admitted to an emergency department without acute coronary syndrome
  28. Osteocalcin value to identify subclinical atherosclerosis over atherosclerotic cardiovascular disease (ASCVD) risk score in middle-aged and elderly Chinese asymptomatic men
  29. Infectious Diseases
  30. Comparison of four methods of establishing control limits for monitoring quality controls in infectious disease serology testing
  31. Letter to the Editor
  32. Letter to the Editor relative to Clin Chem Lab Med 2018;56(3):360–372
  33. Update in diagnosis and management of primary aldosteronism: reply to a Letter to the Editor
  34. Can calculated total nitrogen replace Kjeldahl total nitrogen measurements in 24-h urine samples?
  35. Analytical performance of the single well titer function of NOVA View®: good enough to omit ANA IIF titer analysis?
  36. Assessment of Architect cSystems Abbott® for the colorimetric measurement of lithium in urines and dyalisates
  37. β-Trace protein in hemodialysis – comparison of different therapy modalities and high flux dialyzers
  38. Orbitrap™ high-resolution mass spectrometry for the identification of amoxicillin crystalluria
  39. High fluorescence cell count in ascitic body fluids for carcinomatosis screening
  40. The International Society for Enzymology: a glorious history, a golden legacy
  41. Congress Abstracts
  42. 10th National Congress of the Portuguese Society of Clinical Chemistry, Genetics and Laboratory Medicine
  43. 5th EFLM-UEMS European Joint Congress in Laboratory Medicine
Downloaded on 7.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2018-0171/html
Scroll to top button