Microalbuminuria, neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) as predictors of preeclampsia and gestational diabetes mellitus

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Abstract

Background: The health of young women of reproductive age is a key factor that directly influences the health of future generations. Therefore, early detection of chronic diseases, including chronic kidney disease, in this category of patients is one of the primary objectives of healthcare services. From an obstetric perspective, preventing chronic kidney disease can be linked to the early detection and prediction of preeclampsia and gestational diabetes mellitus. In the literature, there are studies that investigate microalbuminuria, neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule-1 (KIM-1) as predictors of these obstetric complications.

Aim: The aim of this study was to evaluate microalbuminuria, KIM-1, and NGAL as markers for the development of gestational diabetes mellitus and preeclampsia.

Materials and methods: This prospective study was conducted at the Department of Obstetrics and Gynecology, Academician I.P. Pavlov First Saint Petersburg State Medical University (Saint Petersburg, Russia) and involved 280 pregnant women during the first trimester at 6-13 weeks of gestation. The concentrations of microalbuminuria, KIM-1, and NGAL were measured. The second stage involved assessing the course of pregnancy and the development of obstetric complications in the participants. ROC analysis was performed to assess biological markers as predictors of preeclampsia, and predictive value was evaluated by the area under the ROC curve.

Results: The urinary KIM-1 levels in all patients were within the reference values. Microalbuminuria in the range from 30 to 300 mg/L was detected in 20 patients (7.14%). Gestational diabetes mellitus was more common in patients with microalbuminuria above 30 mg/L (p = 0.0358). Elevated serum NGAL levels above the reference values (106 ng/L) were observed in 96 patients (34.2%). Urinary NGAL levels exceeded 9.8 ng/L in 203 patients (72.5%). Moderate or severe preeclampsia developed in 63 (22.5%) pregnant women. ROC analysis of NGAL’s predictive ability showed high sensitivity and specificity for preeclampsia prediction (sensitivity 95.24%, specificity 93.09%, area under the ROC curve 0.93).

Conclusions: The data obtained suggest that the assessment of albuminuria, serum NGAL, and urinary NGAL levels in the blood serum and urine of pregnant women during the first trimester of gestation may serve as early prognostic biomarkers for gestational diabetes mellitus and preeclampsia.

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About the authors

Vitaliy F. Bezhenar

Academician I.P. Pavlov First Saint Petersburg State Medical University

Email: bez-vitaliy@yandex.ru
ORCID iD: 0000-0002-7807-4929
SPIN-code: 8626-7555

MD, Dr. Sci. (Medicine), Professor

Russian Federation, Saint Petersburg

Olesia A. Grigoreva

Academician I.P. Pavlov First Saint Petersburg State Medical University

Author for correspondence.
Email: olesyagrigoryeva146@gmail.com
ORCID iD: 0000-0003-2547-191X

MD

Russian Federation, Saint Petersburg

Olga V. Galkina

Academician I.P. Pavlov First Saint Petersburg State Medical University

Email: ovgalkina@mail.ru
ORCID iD: 0000-0001-7265-7392
SPIN-code: 4251-6056

Cand. Sci. (Biology)

Russian Federation, Saint Petersburg

Anastasiia O. Anpilova

Academician I.P. Pavlov First Saint Petersburg State Medical University

Email: anastasy.95@mail.ru
ORCID iD: 0000-0001-8419-6909
SPIN-code: 4596-0703
Russian Federation, Saint Petersburg

References

  1. Hill NR, Fatoba ST, Oke JL, et al. Global prevalence of chronic kidney disease – a systematic review and meta-analysis. Plos One. 2016;11(7):1–18. doi: 10.1371/journal.pone.0158765
  2. GBD Chronic Kidney Disease Collaboration. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2020;395(10225):709–733. doi: 10.1016/S0140-6736(20)30045-3
  3. Piccoli GB, Cabiddu G. Pregnancy and kidney disease: from medicine based on exceptions to exceptional medicine. J Nephrol. 2017;30(3):303–305. doi: 10.1007/s40620-017-0399-5
  4. Reynolds ML, Herrera CА. Chronic kidney disease and pregnancy. Adv Chronic Kidney Dis. 2020;27(6):461–468. doi: 10.1053/j.ackd.2020.04.003
  5. Maule SP, Danielle CА, Hannah B, et al. CKD and pregnancy outcomes in Africa: a narrative review. Kidney Int Rep. 2020;5(8):1342–1349. doi: 10.1016/j.ekir.2020.05.016
  6. Lindheimer MD, Davison JM. Pregnancy and the kidney: managing hypertension and renal disease during gestation. Nephrol Self Assess Program. 2016;(15):109–114.
  7. Tetelyutina FK, Chernenkova ML. Peculiarities of birth activity in women with chronic pyelonephritis. Praсtical medicine. 2017;(7):67–71. EDN: ZFCXEF
  8. Singh B, Pushpalatha K, Patel S. Correlation of Mid-Trimester spot urinary albumin: creatinine ratio with the adverse pregnancy outcome. Cureus. 2023;15(3):1–8. doi: 10.7759/cureus.36186
  9. Goetz M, Müller M, Gutsfeld R, et al. An observational claims data analysis on the risk of maternal chronic kidney disease after preterm delivery and preeclampsia. Sci Rep. 2021;11(1):12596. doi: 10.1038/s41598-021-92078-2
  10. Barrett PM, McCarthy FP, Kublickiene K, et al. Adverse pregnancy outcomes and long-term maternal kidney disease a systematic review and meta-analysis. JAMA Network Open. 2020;3(2):e1920964. doi: 10.1001/jamanetworkopen.2019.20964
  11. Christensen HM, Bistrup C, Rubin KH, et al. Kidney disease in women with previous gestational diabetes mellitus: a Nationwide Register-Based cohort study. Diabetes Care. 2024;47(3):401–408. doi: 10.2337/dc23-1092
  12. Bellamy L, Casas JP, Hingorani AD, et al. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773–1779. doi: 10.1016/S0140-6736(09)60731-5
  13. Di Cianni G, Lacaria E, Lencioni C, et al. Preventing type 2 diabetes and cardiovascular disease in women with gestational diabetes – the evidence and potential strategies. Diabetes Res Clin Pract. 2018;145:184–192. doi: 10.1016/j.diabres.2018.04.021
  14. Kramer CK, Campbell S, Retnakaran R. Gestational diabetes and the risk of cardiovascular disease in women: a systematic review and meta-analysis. Diabetologia. 2019;62(6):905–914. doi: 10.1007/s00125-019-4840-2
  15. Green JB. Cardiovascular consequences of gestational diabetes. Circulation. 2021;143(10):988–990. doi: 10.1161/CIRCULATIONAHA.120.052995
  16. Viberti GC, Hill RD, Jarrett RJ, et al. Microalbuminuria as a predictor of clinical nephropathy in insulin-dependent diabetes mellitus. Lancet. 1982;1(8287):1430–1432. doi: 10.1016/s0140-6736(82)92450-3
  17. Maynard SE, Min JY, Merchan J, et al. Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia. J Clin Invest. 2003;111(5):649–658. doi: 10.1172/JCI17189
  18. Afolabi-Oboirien KO, Panti AA, Tunau KA. Microalbuminuria and its association with adverse pregnancy outcome in a tertiary health centre in Nigeria. Niger Postgrad Med J. 2023;30(1):25–30. doi: 10.4103/npmj.npmj_293_22
  19. Bezhenar’ VF, Smirnov AV, Temirbulatov RR. Renal dysfunction in preeclampsia: prognosis and differential diagnosis. Part 2. Doktor.Ru. 2020;19(8):7–13. EDN: RNSOUG doi: 10.31550/1727-2378-2020-19-8-7-13
  20. Yalman MV, Madendag Y, Sahin E, et al. Effect of preeclampsia and its severity on maternal serum NGAL and KIM-1 levels during pregnancy and the post-pregnancy period. Eur J Obstet Gynecol Reprod Biol. 2021;256:246–251. doi: 10.1016/j.ejogrb.2020.11.040
  21. Kirsanova TV, Kozlovskaya NL, Balakireva AI, et al. Renal dysfunction and current biomarkers of renal damage in HELLP syndrome and obstetric atypical hemolytic uremic syndrome. Nephrologу and Dialуsis. 2022;24(4):875–883. EDN: AGBNGJ doi: 10.28996/2618-9801-2022-4-875-883
  22. Naqvi R, Hossain N, Butt S, et al. Efficacy of multiple biomarkers: NGAL, KIM1, cystatin C and IL18 in predicting pregnancy related acute kidney injury. Pak J Med Sci. 2023;39(1):34–40. doi: 10.12669/pjms.39.1.6930
  23. Lu L, Li C, Deng J, et al. Maternal serum NGAL in the first trimester of pregnancy is a potential biomarker for the prediction of gestational diabetes mellitus. Front Endocrinol. 2022;13:977254. doi: 10.3389/fendo.2022.977254
  24. D’Anna R, Baviera G, Giordano D, et al. Second trimester neutrophil gelatinase-associated lipocalin as a potential prediagnostic marker of preeclampsia. Acta Obstet Gynecol Scand. 2008;87(12):1370–1373. doi: 10.1080/00016340802464463
  25. D’anna R, Baviera G, Giordano D, et al. Neutrophil gelatinase-associated lipocalin serum evaluation through normal pregnancy and in pregnancies complicated by preeclampsia. Acta Obstet Gynecol Scand. 2010;89(2):275–278. doi: 10.3109/00016340903443676
  26. Ødum L, Andersen AS, Hviid TVF. Urinary neutrophil gelatinase-associated lipocalin (NGAL) excretion increases in normal pregnancy but not in preeclampsia. Clin Chem Lab Med. 2014;52(2):221–225. doi: 10.1515/cclm-2013-0547
  27. Mori K, Lee HT, Rapoport D, et al. Endocytic delivery of lipocalinsiderophore- iron complex rescues the kidney from ischemia-ischemia-reperfusion injury. J Clin Invest. 2005;115(3):610–621. doi: 10.1172/JCI23056
  28. Schmidt-Ott KM, Mori K, Kalandadze A, et al. Neutrophil gelatinaseassociated lipocalin-mediated iron traffic in kidney epithelia. Curr Opin Nephrol Hypertens. 2006;15(4):442–449. doi: 10.1097/01.mnh.0000232886.81142.58

Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Distribution of serum (sNGAL, a) and urinary (uNGAL, b) neutrophil gelatinase-associated lipocalin levels in the study groups with or without preeclampsia

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3. Fig. 2. ROC-curves for logistic regression models utilizing serum (sNGAL) and urinary (uNGAL) neutrophil gelatinase-associated lipocalin levels in the development of preeclampsia

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4. Fig. 3. Probability of developing preeclampsia with simultaneous increase in serum (sNGAL) and urinary (uNGAL) neutrophil gelatinase-associated lipocalin levels above threshold values

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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия Эл № 77 - 6389
от 15.07.2002 г.