Plasma glycated CD59, a novel biomarker for detection of pregnancy-induced glucose intolerance
Open accessAbstract
OBJECTIVE: Plasma glycated CD59 (pGCD59) is an emerging biomarker in diabetes. We assessed whether pGCD59 could predict the following: the results of the glucose challenge test (GCT) for screening of gestational diabetes mellitus (GDM) (primary analysis); and the diagnosis of GDM and prevalence of large for gestational age (LGA) newborns (secondary analyses). RESEARCH DESIGN AND METHODS: Case-control study of 1,000 plasma samples from women receiving standard prenatal care, 500 women having a normal GCT (control subjects) and 500 women with a failed GCT and a subsequent oral glucose tolerance test (case patients). RESULTS: Compared with control subjects, the median (interquartile range) pGCD59 value was 8.5-fold higher in case patients and 10-fold higher in GDM patients, as follows: control subjects 0.33 (0.19); case patients 2.79 (1.4); GDM patients 3.23 (1.43) (P < 0.001); area under the receiver operating characteristic curve 0.92. LGA prevalence was 4.3% in the lowest quartile and 13.5% in the highest quartile of pGCD59. CONCLUSIONS: One pGCD59 measurement during weeks 24–28 identifies pregnancy-induced glucose intolerance with high sensitivity and specificity and can potentially identify the risk for LGA.
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Other studies suggest that biomarkers such as CD59 or serum secreted frizzle-related protein-5 may be useful in early identification of women in whom GDM will be identified later in pregnancy.
“Other studies suggest that biomarkers such as CD59 (287) or serum secreted frizzlerelated protein-5 (288) may be useful in early identification of women in whom GDM will be identified later in pregnancy.”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [287]
The Results and Conclusions report that plasma glycated CD59 distinguished women with GDM and could be useful for screening. But the Research Design and Methods say samples were collected during routine screening at about 26 weeks, and the Conclusions identify detection earlier in pregnancy as a question for future studies. This paper therefore does not establish early identification of women whose GDM would be identified later in pregnancy. (LLM, conf=0.88)
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Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649 · see citing works
Hyperglycemia and adverse pregnancy outcomes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707943 · Cited by 5,563 · see citing works
Effect of Treatment of Gestational Diabetes Mellitus on Pregnancy Outcomes
Crowther, C. A., Hiller, J. E., Moss, J. R., McPhee, A. J., Jeffries, W. S., & Robinson, J. S. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa042973 · Cited by 3,159 · see citing works
A Multicenter, Randomized Trial of Treatment for Mild Gestational Diabetes
Landon, M. B., Spong, C. Y., Thom, E., Carpenter, M. W., Ramin, S. M., Casey, B., Wapner, R. J., Varner, M. W., Rouse, D. J., Thorp, J. M., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0902430 · Cited by 2,122 · see citing works
Criteria for screening tests for gestational diabetes
Carpenter, M. W., & Coustan, D. R. (1982) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(82)90349-0 · Cited by 1,924 · see citing works
The Statistical Evaluation of Medical Tests for Classification and Prediction
PEPE, M. S. (2005) · Technometrics · doi:10.1198/tech.2005.s278 · Cited by 1,907 · see citing works
Statistics Notes: Diagnostic tests 2: predictive values
Altman, D. G., & Bland, J. M. (1994) · BMJ · doi:10.1136/bmj.309.6947.102 · Cited by 1,711 · see citing works
New Intrauterine Growth Curves Based on United States Data
Olsen, I. E., Groveman, S. A., Lawson, M. L., Clark, R. H., & Zemel, B. S. (2010) · PEDIATRICS · doi:10.1542/peds.2009-0913 · Cited by 868 · see citing works
(2013) · Obstetrics and Gynecology · doi:10.1097/01.aog.0000433006.09219.f1 · Cited by 583 · see citing works
Hyperglycemia and Adverse Pregnancy Outcomes: The HAPO Study Cooperative Research Group
The HAPO Study Cooperative Research Group (2008) · Obstetrical & Gynecological Survey · doi:10.1097/ogx.0b013e318187b7a2 · Cited by 488 · see citing works
Standards of Medical Care in Diabetes—2017 : Summary of Revisions
(2016) · Diabetes Care · doi:10.2337/dc17-s003 · Cited by 425 · see citing works
Relation of Glucose Tolerance to Complications of Pregnancy in Nondiabetic Women
TALLARIGO, L., Giampietro, O., Penno, G., Miccoli, R., Gregori, G., & Navalesi, R. (1986) · New England Journal of Medicine · doi:10.1056/nejm198610163151603 · Cited by 252 · see citing works
Molecular basis for a link between complement and the vascular complications of diabetes
Acosta, J. A. T., Hettinga, J., Flückiger, R., Krumrei, N. J., Goldfine, A. B., Angarita, L., & Halperin, J. A. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.10.5450 · Cited by 232 · see citing works
Self-citationRole of Complement and Complement Regulatory Proteins in the Complications of Diabetes
Ghosh, P., Sahoo, R., Vaidya, A., Chorev, M., & Halperin, J. A. (2015) · Endocrine Reviews · doi:10.1210/er.2014-1099 · Cited by 155 · see citing works
Self-citationThe relationship between maternal glycemia and perinatal outcome
Landon, M. B., Mele, L., Spong, C. Y., Carpenter, M. W., Ramin, S. M., Casey, B., Wapner, R. J., Varner, M. W., Rouse, D. J., Thorp, J. M., et al. (2011) · Obstetrics & Gynecology · doi:10.1097/aog.0b013e318203ebe0 · Cited by 150 · see citing works
Reproducibility of the oral glucose tolerance test in pregnant women
Catalano, P. M., Avallone, D. A., Drago, N. M., & Amini, S. B. (1993) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(93)90019-f · Cited by 84 · see citing works
Gestational diabetes: a reappraisal of HBA1c as a screening test
Agarwal, M., Dhatt, G. S., Punnose, J., & Koster, G. (2005) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/j.0001-6349.2005.00650.x · Cited by 77 · see citing works
Ghosh, P., Vaidya, A., Sahoo, R., Goldfine, A. B., Herring, N., Bry, L., Chorev, M., & Halperin, J. A. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-4232 · Cited by 51 · see citing works
Self-citationA specific and sensitive assay for blood levels of glycated CD59: A novel biomarker for diabetes
Ghosh, P., Sahoo, R., Vaidya, A., Cantel, S., Kavishwar, A., Goldfine, A. B., Herring, N., Bry, L., Chorev, M., & Halperin, J. A. (2013) · American Journal of Hematology · doi:10.1002/ajh.23478 · Cited by 48 · see citing works
Self-citationCircadian Variation in the Response to the Glucose Challenge Test in Pregnancy
Goldberg, R. J., Ye, C., Sermer, M., Connelly, P. W., Hanley, A. J., Zinman, B., & Retnakaran, R. R. (2012) · Diabetes Care · doi:10.2337/dc11-2217 · Cited by 29 · see citing works
Total Serum Glycosylated Proteins in Detection and Monitoring of Gestational Diabetes
Cefalu, W. T., Prather, K. L., Chester, D. L., Wheeler, C. J., Biswas, M. K., & Pernod, M. L. (1990) · Diabetes Care · doi:10.2337/diacare.13.8.872 · Cited by 26 · see citing works
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McIntyre, H. D., Catalano, P., Zhang, C., Desoye, G., Mathiesen, E. R., & Damm, P. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0098-8 · Cited by 1,850 · see citing works
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351 · see citing works
Sacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 157 · see citing works
Bogdanet, D., O’Shea, P. M., Lyons, C., Shafat, A., & Dunne, F. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9113451 · Cited by 119 · see citing works
The role of complement in kidney disease
Petr, V., & Thurman, J. M. (2023) · Nature Reviews Nephrology · doi:10.1038/s41581-023-00766-1 · Cited by 118 · see citing works
Poon, L. C., McIntyre, D. H., Hyett, J. A., da Fonseca, E. B., & Hod, M. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.05.002 · Cited by 118 · see citing works
Wexler, D. J., Powe, C. E., Barbour, L. A., Buchanan, T., Coustan, D. R., Corcoy, R., Damm, P., Dunne, F., Feig, D. S., Ferrara, A., et al. (2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002726 · Cited by 80 · see citing works
McIntyre, D. H., & Moses, R. G. (2020) · Diabetes Care · doi:10.2337/dci20-0026 · Cited by 59 · see citing works
McIntyre, D. H., Kapur, A., Divakar, H., & Hod, M. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.614533 · Cited by 61 · see citing works
Mustafa, M., Bogdanet, D., Khattak, A., Carmody, L. A., Kirwan, B., Gaffney, G., O’Shea, P. M., & Dunne, F. (2020) · QJM · doi:10.1093/qjmed/hcaa167 · Cited by 42 · see citing works
An Update on Screening Strategies for Gestational Diabetes Mellitus: A Narrative Review
Minschart, C., Beunen, K., & Benhalima, K. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s287121 · Cited by 38 · see citing works
Filippo, D. D., Wanniarachchi, T., Wei, D. H., Yang, J. J., Sweeney, A. M., Havard, A., Henry, A., & Welsh, A. W. (2021) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-021-00126-7 · Cited by 38 · see citing works
Plasma Glycated CD59 Predicts Early Gestational Diabetes and Large for Gestational Age Newborns
Ma, D.-D., Luque-Fernández, M. Á., Bogdanet, D., Desoyé, G., Dunne, F., & Halperin, J. A. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa087 · Cited by 38 · see citing works
Self-citationComplement in metabolic disease: metaflammation and a two-edged sword
King, B. C., & Blom, A. M. (2021) · Seminars in Immunopathology · doi:10.1007/s00281-021-00873-w · Cited by 36 · see citing works
Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review
Bogdanet, D., Reddin, C., Murphy, D., Doheny, H. C., Halperin, J. A., Dunne, F., & O’Shea, P. M. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10071533 · Cited by 32 · see citing works
Self-citationIntensive Glycemic Treatment During Type 1 Diabetes Pregnancy: A Story of (Mostly) Sweet Success!
Murphy, H. R. (2018) · Diabetes Care · doi:10.2337/dci18-0001 · Cited by 30 · see citing works
Optimal management of gestational diabetes
Egan, A. M., & Dunne, F. (2019) · British Medical Bulletin · doi:10.1093/bmb/ldz025 · Cited by 26 · see citing works
FIGO analysis of research priorities in hyperglycemia in pregnancy
McIntyre, D. H., Desoyé, G., Dunne, F., Siméoni, U., Visser, G. H. A., Kapur, A., & Hod, M. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.03.026 · Cited by 23 · see citing works
Guo, Y. C., Han, Z.-H., Guo, L., Liu, Y., Li, G., Li, H., Zhang, J., Bai, L., Wu, H., & Chen, B. (2018) · Endocrine Journal · doi:10.1507/endocrj.ej17-0471 · Cited by 21 · see citing works
Bogdanet, D., O’Shea, P. M., Halperin, J. A., & Dunne, F. (2020) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-020-03090-9 · Cited by 16 · see citing works
Self-citationStepanov, A. D., Shishkova, D. K., Markova, V. E., Markova, Y. O., Frolov, A. V., Lazebnaya, A. A., Oshchepkova, K., Perepletchikova, D. A., Smirnova, D., Basovich, L., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111382 · Cited by 11 · see citing works
Zhao, L., Sun, L., Zheng, X., Liu, J., Zheng, R., Yang, R. J., & Wang, Y. (2019) · Medicine · doi:10.1097/md.0000000000017031 · Cited by 10 · see citing works
Liu, Y., Hou, W., Meng, X., Zhao, W., Pan, J., Tang, J., Huang, Y., Li, H., Tao, M., & Liu, F. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.04.024 · Cited by 11 · see citing works
Bogdanet, D., Castillo, M. T., Doheny, H. C., Dervan, L., Luque-Fernández, M. Á., Halperin, J. A., O’Shea, P. M., & Dunne, F. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11133895 · Cited by 8 · see citing works
Self-citationEgan, A. M., Hod, M., Mahmood, T. A., & Dunne, F. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.06.001 · Cited by 8 · see citing works
Bogdanet, D., Toth Castillo, M., Doheny, H., Dervan, L., Angel Luque-Fernandez, M., Halperin, J., O'Shea, P. M., & Dunne, F. P. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.110023 · Cited by 6 · see citing works
Self-citationYilmaz, O., Erinç, O., Gungordu, A. G., Erdoğan, M., Algemi, M., & Akarsu, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14134588 · Cited by 5 · see citing works
Glycated CD59 is a potential biomarker for gestational diabetes mellitus
Wang, W., Xu, C., Lu, X., Cao, W., Zuo, T., Zhang, Y., Zou, H., & Sun, Y. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1374253 · Cited by 5 · see citing works
Plasma glycated CD59 predicts postpartum glucose intolerance after gestational diabetes
Benhalima, K., Ma, D.-D., Laenen, A., Mathieu, C., & Halperin, J. A. (2021) · European Journal of Endocrinology · doi:10.1530/eje-21-0635 · Cited by 5 · see citing works
Self-citationBogdanet, D., Luque-Fernández, M. Á., Castillo, M. T., Desoyé, G., O’Shea, P. M., Dunne, F., & Halperin, J. A. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac498 · Cited by 4 · see citing works
Self-citationBogdanet, D., Castillo, M. T., Doheny, H. C., Dervan, L., Luque-Fernández, M. Á., Halperin, J. A., O’Shea, P. M., & Dunne, F. (2022) · Acta Diabetologica · doi:10.1007/s00592-022-01983-z · Cited by 4 · see citing works
Self-citationBogdanet, D., Castillo, M. T., Doheny, H. C., Dervan, L., Luque-Fernández, M. Á., Halperin, J. A., O’Shea, P. M., & Dunne, F. (2023) · Diabetic Medicine · doi:10.1111/dme.15121 · Cited by 4 · see citing works
Self-citationAndrews, C., Castillo, M. T., Aktaş, H., Luque-Fernández, M. Á., Wong, S. K., Sen, S., & Halperin, J. A. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-054773 · Cited by 4 · see citing works
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Asadi, Z., Safari‐Faramani, R., Aghaz, F., Vaisi‐Raygani, A., & Jalilian, S. (2024) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70013 · Cited by 3 · see citing works
HPLC–free method of synthesis of isotopically labeled deoxyfructosylated peptides
Kijewska, M., Zawadzka, M., Włodarczyk, K., & Stefanowicz, P. (2022) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-022-04022-6 · Cited by 3 · see citing works
MIHĂESCU, A., MOLDOVAN, I. D., Bărăian, A.-M., MICAŞ, A.-G., Iov, C. A., Toma, M., Leuca, Ș., Gheorghe, R. A. D. U., Botoş, H. M., Popa, P., et al. (2020) · Research and Science Today · doi:10.38173/rst · Cited by 3 · see citing works
Diagnosis and therapy of gestational diabetes
Salmanowicz, M., Nowicka, P., Banach, B., & Kukowka, A. (2022) · Farmacja Polska · doi:10.32383/farmpol/152113 · Cited by 2 · see citing works
Raets, L., Hoorenbeeck, K. V., Maes, T., Vercammen, C., Block, C. E. M. D., Dirinck, E. L., Pottelbergh, I. V., Wierckx, K., Laenen, A., Bogaerts, A., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12031025 · Cited by 2 · see citing works
Type 1 Diabetes: During Preconception, Pregnancy, Postpartum, and Breastfeeding
Yamamoto, J. M., & Donovan, L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814823-5.00023-4 · Cited by 1 · see citing works
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Bernea, E. G., Antohe, F., Mihai, A. D., Ceauşu, I., Guja, C., & Ionescu-Tirgoviste, C. (2020) · Research and Science Today · doi:10.38173/rst.2020.19.1.11:109-123
Managing Gestational Diabetes During and After Pregnancy
Egan, A. M., & Dunne, F. (2021) · Wiley eBooks · doi:10.1002/9781119603207.ch6
Filippo, D. D., Wanniarachchi, T., Wei, D. H., Yang, J. J., Mc Sweeney, A., Havard, A., Henry, A., & Welsh, A. (2021) · Figshare · doi:10.6084/m9.figshare.16786954
Filippo, D. D., Wanniarachchi, T., Wei, D. H., Yang, J. J., Mc Sweeney, A., Havard, A., Henry, A., & Welsh, A. (2021) · Figshare · doi:10.6084/m9.figshare.16786957
Filippo, D. D., Wanniarachchi, T., Wei, D. H., Yang, J. J., Mc Sweeney, A., Havard, A., Henry, A., & Welsh, A. (2021) · Figshare · doi:10.6084/m9.figshare.16786948
Filippo, D. D., Wanniarachchi, T., Wei, D. H., Yang, J. J., Mc Sweeney, A., Havard, A., Henry, A., & Welsh, A. (2021) · Figshare · doi:10.6084/m9.figshare.16786951
Chinta, B., Kandimalla, R., & Ambati, R. R. (2026) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-026-01981-w
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McIntyre, D. H., Kapur, A., & Hod, M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-13265-0.00009-4
- Authors
- Ghosh, P., Luque-Fernandez, M. A., Vaidya, A., Ma, D., Sahoo, R., Chorev, M., Zera, C., McElrath, T. F., Williams, M. A., Seely, E. W., & Halperin, J. A.
- Affiliations
- Brigham and Women's Hospital (US)
- Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, U.K.
- Division of Hematology, Brigham and Women’s Hospital, Boston, MA
- Harvard University (US)
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-04-27
- Volume
- 40
- Issue
- 7
- Pages
- 981-984
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC5481979
- OpenAlex
- W2609113147
- Semantic Scholar
- 18464e851fd745017129cc2711c8670047a59cbd
- Cited by
- 48
- References
- 21
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 5 · 2022: 7 · 2021: 10 · 2020: 8 · 2019: 4 · 2018: 7
- FWCI
- 6.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes Care (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Funders
- National Institutes of Health (DK-095424, DK-62294, DK-089206, DK-101442, DK-107407, HL-111771)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Keywords
- gestational diabetes mellitus, biomarkers, glucose challenge test, large for gestational age, prenatal screening, oral glucose tolerance test, hyperglycemia in pregnancy
- MeSH terms
- Blood Glucose, Female, Gestational Age, Glucose Tolerance Test, Humans, Infant, Pregnancy, Prenatal Care, Sensitivity and Specificity, Biomarkers, Case-Control Studies, Diabetes, Gestational, Glucose Intolerance, CD59 Antigens
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