The DOI matches its Crossref record; 178 of the 179 references it cites were found in a registry or an index.
Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases
Open accessAbstract
Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted gestational hormones and peptides related with glucose homeostasis. It may affect one out of five pregnancies, leading to perinatal morbidity and adverse neonatal outcomes, and high risk of chronic metabolic and cardiovascular injuries in both mother and offspring. Currently, GDM diagnosis is based on evaluation of glucose homeostasis at late stages of pregnancy, but increased age and body-weight, and familiar or previous occurrence of GDM, may conditionate this criteria. In addition, an earlier and more specific detection of GDM with associated metabolic and cardiovascular risk could improve GDM development and outcomes. In this sense, 1st–2nd trimester-released biomarkers found in maternal plasma including adipose tissue-derived factors such as adiponectin, visfatin, omentin-1, fatty acid-binding protein-4 and retinol binding-protein-4 have shown correlations with GDM development. Moreover, placenta-related factors such as sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factors-21/23, ficolin-3 and follistatin, or specific micro-RNAs may participate in GDM progression and be useful for its recognition. Finally, urine-excreted metabolites such as those related with serotonin system, non-polar amino-acids and ketone bodies, may complete a predictive or early-diagnostic panel of biomarkers for GDM.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
![Fig. 1 Predictive and diagnostic biomarkers for GDM pregnancies. GDM usually develops from the 2nd trimester of pregnancy in correlation with increased inflammation, insulin resistance, placental dysregulation and/or β-cell disruption, and can be detected at the 24th–28th week by evaluation of glucose homeostasis. However, some specific protein (blue lines), miRs (black lines) and metabolites (red lines) are released into the blood and/or urine from early stages of (complicated) pregnancies and could serve as biomarkers for GDM. In particular, RBP4, SHBG, afamin, FABP4, hs-PCR, adiponectin and several miRs (miR-16-5p, -17-5p, -20a-5p) could be tested at the beginning of pregnancies, mainly in women with risk factors (obesity, advanced aged, previous GDM). In addition, visfatin, fetuin-A, omentin, leptin, ficolin-3 and specific metabolites (i.e., AHBA, L-Tryp) may be useful for the mid-stage of gestation, and FGF-21, PAI-1, fetuin-B and follistatin, and other metabolites [Ceramide (d18:0/23:0), aspartame] could help GDM screening at the 3rd trimester. Then, early interventions on metabolic and cardiovascular abnormalities could attenuate associated post-parturition (perinatal, neonatal and chronic) disorders in women and offspring](/paper-figures/a6b6d6780a544fd6baba842112b8101d/predictive-and-diagnostic-biomarkers-for-gestational-diabetes-and-its-associated-figure-1.jpg)
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The greatest hopes are connected with afamine, adiponectin and 1,5-anhydroglucitol [34,35].”
From Gestational Diabetes Mellitus—Recent Literature Review (2022) · cites this paper as [34]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Standards of Medical Care in Diabetes
Power, D. V. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1593 · Cited by 8,676
International Association of Diabetes and Pregnancy Study Groups Consensus Panel (2010) · Diabetes Care · doi:10.2337/dc09-1848 · Cited by 5,390
Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis
Bellamy, L., Casas, J.-P., Hingorani, A. D., & Williams, D. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60731-5 · Cited by 3,253
Gestational Diabetes and the Incidence of Type 2 Diabetes
Kim, C., Newton, K. M., & Knopp, R. H. (2002) · Diabetes Care · doi:10.2337/diacare.25.10.1862 · Cited by 2,276
ACOG Practice Bulletin No. 190: Gestational Diabetes Mellitus
(2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002501 · Cited by 1,820
Physiological changes in pregnancy
Soma-Pillay, P., Nelson-Piercy, C., Tolppanen, H., & Mebazaa, A. (2016) · Cardiovascular Journal of Africa · doi:10.5830/cvja-2016-021 · Cited by 1,483
Ding, E. L., Song, Y., Malik, V. S., & Liu, S. (2006) · JAMA · doi:10.1001/jama.295.11.1288 · Cited by 1,354
Increasing Prevalence of Gestational Diabetes Mellitus
Ferrara, A. (2007) · Diabetes Care · doi:10.2337/dc07-s206 · Cited by 1,171
Standards of Medical Care in Diabetes—2017 Abridged for Primary Care Providers
American Diabetes Association (2017) · Clinical Diabetes · doi:10.2337/cd16-0067 · Cited by 999
Cited by
Sorted by citations
Gestational Diabetes Mellitus—Recent Literature Review
Modzelewski, R., Stefanowicz-Rutkowska, M. M., Matuszewski, W., & Bandurska-Stankiewicz, E. M. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11195736 · Cited by 223
Gestational Diabetes Mellitus and Maternal Immune Dysregulation: What We Know So Far
McElwain, C. J., McCarthy, F. P., & McCarthy, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22084261 · Cited by 134
Placental Regulation of Energy Homeostasis During Human Pregnancy
Armistead, B., Johnson, E., Vanderkamp, R., Kula-Eversole, E., Kadam, L., Drewlo, S., & Kohan‐Ghadr, H. (2020) · Endocrinology · doi:10.1210/endocr/bqaa076 · Cited by 99
Pathirana, M. M., Lassi, Z. S., Alì, A., Arstall, M. A., Roberts, C. T., & Andraweera, P. H. (2020) · Endocrine · doi:10.1007/s12020-020-02492-1 · Cited by 74
McIntyre, D. H., Kapur, A., Divakar, H., & Hod, M. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.614533 · Cited by 61
Obuchowska, A., Gorczyca, K., Standyło, A., Obuchowska, K., Kimber-Trojnar, Ż., Wierzchowska-Opoka, M., & Leszczyńska‐Gorzelak, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158253 · Cited by 58
Habibi, N., Mousa, A., Tay, C. T., Khomami, M. B., Patten, R. K., Andraweera, P. H., Wassie, M., Vandersluys, J., Aflatounian, A., Bianco‐Miotto, T., et al. (2022) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3532 · Cited by 53
“While some systematic reviews have been conducted on similar topics, they did not specifically examine MetS factors, but rather explored biomarkers associated with placental pathology,(32) central obesity,(33) and predictive(34) or diagnostic biomarkers for metabolic diseases.(35) To date, there has been no systematic…”
BackgroundCorrelation Analysis between GDM and Gut Microbial Composition in Late Pregnancy
Li, G., Yin, P., Chu, S., Gao, W., Cui, S., Guo, S., Xu, Y., Yuan, E., Zhu, T., You, J., et al. (2021) · Journal of Diabetes Research · doi:10.1155/2021/8892849 · Cited by 55
Novel Biomolecules in the Pathogenesis of Gestational Diabetes Mellitus
Ruszała, M., Niebrzydowska-Tatus, M., Pilszyk, A., Kimber-Trojnar, Ż., Trojnar, M. P., & Leszczyńska‐Gorzelak, B. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111578 · Cited by 47
Tranidou, A., Dagklis, T., Tsakiridis, I., Siargkas, A., Apostolopoulou, A., Mamopoulos, A., Goulis, D. G., & Chourdakis, M. (2021) · Journal of Endocrinological Investigation · doi:10.1007/s40618-020-01464-6 · Cited by 43
Song, T., Su, G., Chi, Y., Wu, T., Xu, Y., & Chen, C. (2021) · Gynecological Endocrinology · doi:10.1080/09513590.2021.1940932 · Cited by 44
Discovery of metabolic biomarkers for gestational diabetes mellitus in a Chinese population
Lu, W., Luo, M., Fang, X., Zhang, R., Li, S., Tang, M., Yu, X., & Hu, C. (2021) · Nutrition & Metabolism · doi:10.1186/s12986-021-00606-8 · Cited by 44
Multifunctional nanomaterials for smart wearable diabetic healthcare devices
Kim, T., De, R., Choi, I., Kim, H., & Hahn, S. K. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122630 · Cited by 42
Mennickent, D., Rodriguez, A. F., Farías, M., Araya, J., & Guzmán‐Gutiérrez, E. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102378 · Cited by 44
Nguyen, C. M., Sallam, M., Islam, M. S., Clack, K., Soda, N., Nguyen, N., & Shiddiky, M. J. A. (2023) · ACS Sensors · doi:10.1021/acssensors.3c00689 · Cited by 42
Yu, J., Ren, J. F., Ren, Y., Wu, Y., Zeng, Y., Zhang, Q., & Xiao, X. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105008 · Cited by 44
Corcoran, S. M., Achamallah, N., Loughlin, J. O., Stafford, P., Dicker, P., Malone, F. D., & Breathnach, F. (2018) · European Journal of Obstetrics & Gynecology and Reproductive Biology · doi:10.1016/j.ejogrb.2017.12.051 · Cited by 40
Abu-Samra, N., Jelinek, H. F., AlSafar, H. S., Asghar, F., Seoud, M. A.-F., Hussein, S. M., Mubarak, H. M., Anwar, S., Memon, M., Afify, N., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23073514 · Cited by 41
Zhang, J., Suo, Y., Wang, L., Liu, D., Jia, Y. X., Fu, Y., Fan, W., & Jiang, Y. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02341-9 · Cited by 37
Ficolin‐3/adiponectin ratio for the prediction of gestational diabetes mellitus in pregnant women
Yuan, X., Shi, H., Wang, H., Yu, B., & Jiang, J. W. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12688 · Cited by 38
Novel Biomolecules in the Pathogenesis of Gestational Diabetes Mellitus 2.0
Ruszała, M., Pilszyk, A., Niebrzydowska-Tatus, M., Kimber-Trojnar, Ż., Trojnar, M. P., & Leszczyńska‐Gorzelak, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084364 · Cited by 40
Biochemical and Molecular Biomarkers: Unraveling Their Role in Gestational Diabetes Mellitus
Karami, M., Mousavi, S. H., Rafiee, M., Heidari, R., & Shahrokhi, S. Z. (2023) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-023-00980-8 · Cited by 33
Early markers of gestational diabetes mellitus
Omazić, J., Ivić, V., Wagner, J., Müller, A., Zibar, L., Kadivnik, M., & Viljetić, B. (2021) · Biochemia Medica · doi:10.11613/bm.2021.030502 · Cited by 37
Foo, R. M. C., Junyi, J., Du, R., Goh, G. B., Chong, Y. S., Zhang, C., & Li, L. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102609 · Cited by 34
Serum metabolomic signatures of gestational diabetes in South Asian and white European women
Sikorski, C., Azab, S. M., de Souza, R. J., Shanmuganathan, M., Desai, D., Teo, K. K., Atkinson, S. A., Morrison, K. M., Gupta, M., Britz‐McKibbin, P., et al. (2022) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2021-002733 · Cited by 31
Criscitiello, M. F., Kraev, I., Petersen, L. H., & Lange, S. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00651 · Cited by 29
Najafi, M. L., Zarei, M., Gohari, A., Haghighi, L., Heydari, H., & Miri, M. (2020) · Environmental Health · doi:10.1186/s12940-020-00682-y · Cited by 29
Extracellular vesicles and their role in gestational diabetes mellitus
James‐Allan, L. B., & Devaskar, S. U. (2021) · Placenta · doi:10.1016/j.placenta.2021.02.012 · Cited by 32
Adipokines in Pregnancy: A Systematic Review of Clinical Data
Kabbani, N., Blüher, M., Stepan, H., Stümvoll, M., Ebert, T., Tönjes, A., & Schrey-Petersen, S. (2023) · Biomedicines · doi:10.3390/biomedicines11051419 · Cited by 32
Ke, W., Chen, Y., Zheng, L., Zhang, Y., Wu, Y., & Li, L. (2021) · Bioengineered · doi:10.1080/21655979.2021.2001219 · Cited by 27
RetractedMolecular pathways in placental-fetal development and disruption
Adibi, J. J., Zhao, Y., Koistinen, H. K., Mitchell, R. T., Barrett, E. S., Miller, R. K., O’Connor, T. G., Xun, X., Liang, H., Birru, R. L., et al. (2023) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2023.112075 · Cited by 29
Pregnancy-induced Cardiovascular Pathologies: Importance of Structural Components and Lipids
Aleksenko, L., & Quaye, I. K. (2020) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2020.05.014 · Cited by 26
Hou, G., Gao, Y. M., Poon, L. C., Ren, Y., Zeng, C., Wen, B., Syngelaki, A., Lin, L., Zi, J., Su, F., et al. (2022) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.17297 · Cited by 27
Mo, Z., Cao, C., Han, Y. Y., Hu, H., He, Y., & Zuo, X. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1294588 · Cited by 25
Inflammation in Pregnancy: Key Drivers, Signaling Pathways and Associated Complications
García-Morales, A., Lomas‐Soria, C., Granados-Higa, G., García‐Quiroz, J., Avila, E., Olmos‐Ortiz, A., & Dı́az, L. (2025) · Archives of Medical Research · doi:10.1016/j.arcmed.2025.103301 · Cited by 29
From reactive to proactive: Continuous protein monitoring for preventive health care
Donnelly, J. M., Neff, R. A., Sedlack, A. J. H., Juska, V. B., Ayala‐Cardona, L. F., Bass, J. T., McNally, E. M., Shah, S. J., Alshurafa, N. I., Kimchi, E. Y., et al. (2025) · Science · doi:10.1126/science.ady6497 · Cited by 26
Schuitemaker, J. H. N., Beernink, R. H. J., Franx, A., Cremers, T. I. F. H., & Koster, M. P. H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242423 · Cited by 25
Sotagliflozin: A Review in Type 1 Diabetes
Deeks, E. D. (2019) · Drugs · doi:10.1007/s40265-019-01230-w · Cited by 25
Machine learning based model for the early detection of Gestational Diabetes Mellitus
Zaky, H., Fthenou, E., Srour, L., Farrell, T. J., Bashir, M., Hajj, N. E., & Alam, T. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-02947-3 · Cited by 28
Placental Galectin-2 Expression in Gestational Diabetes: A Systematic, Histological Analysis
Hepp, P., Unverdorben, L., Hutter, S., Kühn, C., Ditsch, N. C., Groß, E., Mahner, S., Jeschke, U., Knabl, J., & Heidegger, H. H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072404 · Cited by 23
Raczkowska, B. A., Mojsak, P., Rojo, D., Telejko, B., Paczkowska‐Abdulsalam, M., Hryniewicka, J., Zielińska-Maciulewska, A., Szelachowska, M., Górska, M., Barbas, C., et al. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.770240 · Cited by 22
Su, G., Gao, M.-X., Shi, G.-L., Dai, X., Yao, W., Zhang, T., & Zhuang, S. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01045-0 · Cited by 23
Eidgahi, E. S., Nasiri, M., Kariman, N., Ardabili, N. S., Salehi, M., Kazemi, M., & Zayeri, F. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-04348-6 · Cited by 25
Ji, L., Zhang, X., Chen, Z., Wang, Y., Zhu, H., Nai, Y., Huang, Y., Lai, R., Zhong, Y., Yang, X., et al. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01621-x · Cited by 21
Cosson, E., Nachtergaele, C., Vicaut, É., Tatulashvili, S., Sal, M., Berkane, N., Pinto, S., Fabre, E. E., Benbara, A., Fermaut, M., et al. (2022) · Diabetes & Metabolism · doi:10.1016/j.diabet.2022.101330 · Cited by 21
Dietary Impacts on Gestational Diabetes: Connection between Gut Microbiome and Epigenetic Mechanisms
Bankole, T., Winn, H. N., & Li, Y. (2022) · Nutrients · doi:10.3390/nu14245269 · Cited by 22
Carvalho, R. C., Nishi, F. A., Ribeiro, T. B., França, G. G., & Aguiar, P. M. (2020) · Current Diabetes Reviews · doi:10.2174/1573399816666200130093523 · Cited by 20
Zhang, H., Jin, J., Cao, Y., Liu, H., Zhang, Y., Guo, Y., Wu, N., Gao, Y., Xu, R., Hua, Q., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-0992-0 · Cited by 21
Current understanding and controversies on the clinical implications of fibroblast growth factor 21
Badakhshi, Y., & Jin, T. (2020) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2020.1864278 · Cited by 20
The adipokine fatty-acid binding protein 4 and cardiac remodeling
von Jeinsen, B., Ritzen, L., Vietheer, J. M., Unbehaun, C., Weferling, M., Liebetrau, C., Hamm, C. W., Rolf, A., & Keller, T. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01080-x · Cited by 19
Risk Estimation of Gestational Diabetes Mellitus in the First Trimester
Gerszi, D., Orosz, G., Török, M., Szalay, B., Karvaly, G., Orosz, L., Hetthéssy, J. R., Vásárhelyi, B., Török, O., Horvath, E. M., et al. (2023) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgad301 · Cited by 18
Wu, M., Lee, C., Chen, Y., Yu, S.-Y., Yu, Y., Ren, Q. W., FONG, H. Y., Wong, P., Tse, H., LAM, S. L. K., et al. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01167-5 · Cited by 18
Zhou, X., Li, J., Wei, L., He, M., Jia, J., Zhang, J., Wang, S., & Feng, L. (2020) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2000432 · Cited by 17
Liang, X., Lai, K., Li, X., Ren, D., Gui, S., Li, Y., & Xing, Z. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-07294-9 · Cited by 17
Rathnayake, H., Han, L., Costa, F. D. S., Paganoti, C. D. F., Dyer, B. P., Kundur, A., Singh, I., & Holland, O. J. (2024) · BMJ Open · doi:10.1136/bmjopen-2024-089937 · Cited by 23
Piotrowska, K., Zgutka, K., Tkacz, M., & Tarnowski, M. (2023) · Antioxidants · doi:10.3390/antiox12081488 · Cited by 18
Nguyen, B., Tselovalnikova, T., & Drees, B. M. (2023) · Endocrine Practice · doi:10.1016/j.eprac.2023.10.133 · Cited by 16
Ghaderian, M., Hemmat, M. B., Behdad, S., Saeedi, M., & Shahsanaei, F. (2020) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2020.100658 · Cited by 15
He, X., Hu, X., Luo, B.-Y., Xia, Y., Zhang, T., Saffery, R., de Seymour, J. V., Zou, Z., Xu, G., Zhao, X. Y., et al. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-04416-5 · Cited by 15
Martos-Cabrera, M. B., Gómez‐Urquiza, J. L., Cañadas-González, G., Romero‐Béjar, J. L., Suleiman‐Martos, N., la Fuente, G. A. C., & Albendín‐García, L. (2021) · Healthcare · doi:10.3390/healthcare9070832 · Cited by 24
Circulating levels of fibroblast growth factor 21 in gestational diabetes mellitus: a meta-analysis
Jia, J., Wei, W., Fan, Y., Liu, R., Shen, Y., Zhang, R., Yuan, G., & Zhou, H. (2020) · Endocrine Journal · doi:10.1507/endocrj.ej20-0481 · Cited by 14
Precision Medicine Approach for Cardiometabolic Risk Factors in Therapeutic Apheresis
Yin, X., Takov, K., Straube, R., Voit-Bak, K., Graessler, J., Julius, U., Tselmin, S., Rodionov, R. N., Barbir, M., Walls, M., et al. (2022) · Hormone and Metabolic Research · doi:10.1055/a-1776-7943 · Cited by 14
Salmen, B.-M., Pietroșel, V.-A., Durdu, C.-E., Salmen, T., Diaconu, C.-T., Bica, I.-C., Potcovaru, C.-G., Gherghiceanu, F., Stoica, R. A., & Stoian, A. P. (2023) · Biomedicines · doi:10.3390/biomedicines11051492 · Cited by 14
He, L., Wang, X., Jin, Y., Xu, W., Guan, Y., Wu, J., Han, S., & Liu, G. (2021) · Bioengineered · doi:10.1080/21655979.2021.1950279 · Cited by 13
Stakhneva, E. M., Kashtanova, E. V., Polonskaya, Y. V., Striukova, E. V., Шрамко, В. С., Sadovski, E. V., Кургузов, А. В., Murashov, I. S., Chernyavskii, A. M., & Ragino, Y. I. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112795 · Cited by 13
Prevalence and Risk Factors of Gestational Diabetes Mellitus in Romania: Maternal and Fetal Outcomes
Iman, A. E. H., Huniadi, A. C., Şandor, M. I., Zaha, I. A., Rotar, I. C., & Iuhas, C. I. (2025) · Medicina · doi:10.3390/medicina61020194 · Cited by 14
Effects of gestational diabetes mellitus on offspring: A literature review
Li, T., Ma, X., & Ma, L. (2025) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.70185 · Cited by 15
Long-term cardio-metabolic effects after gestational diabetes: a review
Burlina, S., Dalfrà, M. G., & Lapolla, A. (2021) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2021.1903863 · Cited by 12
Zhang, Q., Dong, Y., & Fan, J. (2023) · Hepatobiliary & pancreatic diseases international · doi:10.1016/j.hbpd.2023.12.007 · Cited by 11
Mathew, A. P., Cutshaw, G., Appel, O., Funk, M. L., Synan, L., Waite, J. R., Ghazvini, S., Wen, X., Sarkar, S., Santillan, M. K. O., et al. (2024) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10691 · Cited by 10
Liu, J., Song, G., Meng, T., & Zhao, G. (2020) · BMC Cardiovascular Disorders · doi:10.1186/s12872-020-01480-7 · Cited by 10
Zhao, R., An, Z., Sun, Y., Xia, L., Qiu, L., Yao, A., Liu, Y.-P., & Liu, L. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2021.01.012 · Cited by 10
Looking at the Future Through the Mother’s Womb: Gestational Diabetes and Offspring Fertility
Sinha, N., Walker, G. L., & Sen, A. (2021) · Endocrinology · doi:10.1210/endocr/bqab209 · Cited by 10
The Role of the Intrauterine Environment in Shaping Childhood and Adolescence Metabolic Outcomes
Kardelen, A. D., & Darendelıler, F. (2025) · Metabolites · doi:10.3390/metabo15040252 · Cited by 12
Han, W., Wang, J., Yan, X., Liu, C., Huang, J., Zhang, L., Zhang, Y., Zhao, Y., Hou, Y., Zheng, W., et al. (2024) · Nutrition and Diabetes · doi:10.1038/s41387-024-00276-4 · Cited by 9
Nonlinear Analysis for a Type-1 Diabetes Model with Focus on T-Cells and Pancreatic β-Cells Behavior
Gamboa, D., Vázquez, C. E., & Campos-Hernández, P. J. (2020) · Mathematical and Computational Applications · doi:10.3390/mca25020023 · Cited by 9
Adiponectin Deficiency Alters Placenta Function but Does Not Affect Fetal Growth in Mice
Shrestha, M. M., Wermelin, S., Stener‐Victorin, E., Asterholm, I. W., & Benrick, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094939 · Cited by 9
Milinčić, M., Cirkovic, A. M., Ivanović, K., Dugalić, S., & Gojnić-Dugalić, M. (2025) · Medicina · doi:10.3390/medicina61071290 · Cited by 8
Sharma, S., Subrahmanyam, Y. V., Gupta, P., Vadivel, S., Deepa, M., Tandon, A., Sreedevi, S., Ram, U., Narad, P., Parmar, D. S., et al. (2025) · Cardiovascular Diabetology · doi:10.1186/s12933-025-02978-0 · Cited by 8
Tığlı, A., Baykuş, Y., Deniz, R., Selçuk, K. T., Şener, N., Değirmenci, Y. E., Akıncı, G. E., Acarturk, İ. Z., Sertdemir, N., & Aydın, S. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1765602 · Cited by 10
Chatterjee, B., & Thakur, S. S. (2023) · PROTEOMICS · doi:10.1002/pmic.202200257 · Cited by 8
Novel first-trimester serum biomarkers for early prediction of gestational diabetes mellitus
Tian, S., Liu, M., Han, S., Wu, H., Qin, R., Ma, K., Liu, L., Zhao, H., & Li, Y. (2025) · Nutrition and Diabetes · doi:10.1038/s41387-025-00372-z · Cited by 9
Huang, J., Chu, X., & Chen, Y. (2020) · Gynecological Endocrinology · doi:10.1080/09513590.2020.1751112 · Cited by 8
Inhibition of FABP4 attenuates cardiac fibrosis through inhibition of NLRP3 inflammasome activation.
Zhu, X., Zhang, X., Cong, X., Zhu, L., & Ning, Z. (2022) · PubMed Central · doi:10.22038/ijbms.2022.64499.14186 · Cited by 8
Myeloperoxidase G-463A and CYBA C242T genetic variants in gestational diabetes mellitus
Jiang, C., Zhou, M., Bai, H., Chen, M., Yang, C., Hu, K., Wu, Y., Liu, Q., Zhao, Y., Liu, X., et al. (2023) · Endocrine Connections · doi:10.1530/ec-22-0369 · Cited by 8
Li, L., Yang, K., Ye, F., Xu, Y., Cao, L., & Sheng, J. (2021) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2021.9618 · Cited by 8
Biomarkers of Gestational Diabetes Mellitus: Mechanisms, Advances, and Clinical Utility
Pramodkumar, T. A., Hannah, W., Anjana, R. M., Ram, U., Tiwaskar, M., Gokulakrishnan, K., Popova, P. V., & Mohan, V. (2025) · Journal of The Association of Physicians of India · doi:10.59556/japi.73.0849 · Cited by 7
Unique microRNA expression profiles in plasmic exosomes from intrahepatic cholestasis of pregnancy
Kong, Y., Zhan, Y., Chen, D., Deng, X., Liu, X., Xu, T., & Wang, X. (2023) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-023-05456-1 · Cited by 7
França, D. C. H., Honório‐França, A. C., Silva, K. M. R., Alves, F. C. B., Bueno, G. M., Costa, S. M. B., Cotrim, A. C. D. M., Barbosa, A. M. P., França, E. L., Rudge, M. V. C., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417125 · Cited by 7
Molina, T. C., Casillas-Díaz, N., Pérez-Nadador, I., Vales‐Villamarín, C., López-Martínez, M. Á., Riveiro-Álvarez, R., Wilhelm, L., Cervera‐Juanes, R. P., Garcés, C., Lomniczi, A., et al. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01612-8 · Cited by 7
Self-citationAssociation of obesity and insulin resistance to gestational diabetes mellitus
Thilak, S. (2023) · Bioinformation · doi:10.6026/97320630019211 · Cited by 6
Novel serum biomarkers for early diagnosis of gestational diabetes mellitus—a review
Kunicki, M., Rzewuska, N., Sopońska, P., Pawłosek, A., Sowińska, I., & Kłoska, A. (2025) · Gynecological Endocrinology · doi:10.1080/09513590.2025.2455472 · Cited by 6
Boath, A., Vale, L. D., Hayes, L., Allotey, J., & Heslehurst, N. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-065335 · Cited by 7
Hu, Z., & Zhang, M. (2021) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.23833 · Cited by 5
Ahmed, S. A. A., Adam, M., Osman, H. M. M., Al-Qahtani, N. H., Gabreldaar, A. E. M., Abdalla, M. S. H., & Saidahmed, R. O. A. (2025) · Cureus · doi:10.7759/cureus.92585 · Cited by 5
He, X., He, X., Zhou, Y., Liu, J., & Wang, G. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-08121-x · Cited by 5
Exosomal circSCMH1/miR-874 ratio in serum to predict carotid and coronary plaque stability
Wang, J., Liu, Y., Tian, P., Xing, L., Huang, X., Fu, C., Xu, X., & Liu, P. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1277427 · Cited by 5
Lakey, J. R. T., Casazza, K., Lernhardt, W., Mathur, E. J., & Jenkins, I. D. (2024) · Current Diabetes Reviews · doi:10.2174/0115733998276990240117113408 · Cited by 5
SCUBE1 Promotes Gestational Diabetes Mellitus: A Bioinformatics and Experimental Investigation
Liu, J., & Lu, C. (2024) · Biochemical Genetics · doi:10.1007/s10528-024-10769-7 · Cited by 6
Yang, Z., Shi, X., Wang, S., Du, L., Zhang, X., Zhang, K., Zhang, Y., Ma, J., & Zheng, R. (2025) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.70055 · Cited by 6
Metadata
- Authors
- Lorenzo-Almorós, A., Hang, T., Peiró, C., Soriano-Guillén, L., Egido, J., Tuñón, J., & Lorenzo, Ó.
- Affiliations
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (ES)
- Universidad Autónoma de Madrid (ES)
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (ES)
- Hospital Universitario Fundación Jiménez Díaz (ES)
- Corresponding author
- Lorenzo, Ó.
- Venue
- Cardiovascular Diabetology
- Published
- 2019-10-30
- Volume
- 18
- Issue
- 1
- Pages
- 140-140
- ISSN
- 1475-2840 (ISSN-L)
- PMC
- PMC6820966
- OpenAlex
- W2982430392
- Cited by
- 202
- References
- 179
- Citations by year
- 2026: 19 · 2025: 33 · 2024: 35 · 2023: 31 · 2022: 24 · 2021: 29 · 2020: 27 · 2019: 2
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Cardiovascular Diabetology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Hispana (submittedVersion)
- Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion, public-domain)
- Funders
- Fondo de Investigación Sanitaria (ISC-III) and Fondo Europeo de Desarrollo Regional (FEDER). (PI17/01495)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Keywords
- gestational diabetes mellitus, biomarkers, early diagnosis, insulin resistance, beta-cell dysfunction, adiponectin, visfatin, omentin-1, FABP4, retinol-binding protein 4, placental hormones, sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factor, ficolin-3, follistatin, microRNA, urinary metabolites, ketone bodies, serotonin, metabolic risk, cardiovascular risk, offspring outcomes
- MeSH terms
- Blood Glucose, Cardiovascular Diseases, Energy Metabolism, Female, Humans, Predictive Value of Tests, Pregnancy, Prognosis, Risk Factors, Biomarkers, Comorbidity, Diabetes, Gestational, Risk Assessment, MicroRNAs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review