{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T11:04:55Z","timestamp":1779188695823,"version":"3.51.4"},"reference-count":52,"publisher":"Walter de Gruyter GmbH","issue":"5","license":[{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Beijing Municipal Administration of Hospitals Clinical Medicine Development","award":["ZYLX201830"],"award-info":[{"award-number":["ZYLX201830"]}]},{"name":"Beijing Hospitals Authority Ascent Plan","award":["DFL20191401"],"award-info":[{"award-number":["DFL20191401"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,26]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_jpm-2024-0509_abs_001\">\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Pregnancy-related medical complications such as gestational diabetes mellitus (GDM) are common and associated with several obstetric and neonatal problems. There is growing evidence that microRNAs (miRNAs) are essential players in the pathophysiology of GDM. This study aimed to assess how particular miRNAs and the genes they target are expressed in GDM.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpm-2024-0509_abs_002\">\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>A GDM cell model was created using BeWo cells cultured in hyperglycemic (HG) conditions (25\u202fmM glucose). Low-glucose (LG) conditions (5.5\u202fmM glucose) were used for the BeWo cells in the control group. Differentially expressed genes (DEGs) in BeWo cells were identified by high-throughput sequencing and their levels verified in placental samples from GDM patients and controls using RT-PCR. Furthermore, the target genes of the DEGs were verified using dual-luciferase reporter assays.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpm-2024-0509_abs_003\">\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>High-throughput sequencing revealed 220 DEGs in BeWo cells. Among these, miR-3687 was significantly upregulated, while follistatin-like 3 (FSTL3) was downregulated in BeWo cells under HG conditions. The high-throughput sequencing results were corroborated by RT-PCR, which showed that placental samples from GDM patients had significantly lower levels of FSTL3 expression and substantially higher amounts of miR-3687 expression compared to control samples. FSTL3 was established as a direct target of miR-3687 as shown by dual-luciferase reporter assays.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpm-2024-0509_abs_004\">\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The increase of miR-3687 might facilitate the onset and advancement of GDM by suppressing FSTL3. This discovery offered a new perspective on the molecular underpinnings of GDM and indicated possible targets for therapeutic intervention.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/jpm-2024-0509","type":"journal-article","created":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T09:57:46Z","timestamp":1744451866000},"page":"604-614","source":"Crossref","is-referenced-by-count":1,"title":["Upregulation of microRNA-3687 promotes gestational diabetes mellitus by inhibiting follistatin-like 3"],"prefix":"10.1515","volume":"53","author":[{"given":"Yan","family":"Jiang","sequence":"first","affiliation":[{"name":"Department of Maternal Intensive Care Unit, Beijing Obstetrics and Gynecology Hospital , Capital Medical University, Beijing Maternal and Child Health Care Hospital , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital , Capital Medical University, Beijing Maternal and Child Health Care Hospital , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital , Capital Medical University, Beijing Maternal and Child Health Care Hospital , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaokui","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Human Reproductive Medicine, Beijing Obstetrics and Gynecology Hospital , Capital Medical University, Beijing Maternal and Child Health Care Hospital , Beijing , China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2025,4,14]]},"reference":[{"key":"2025060211104106992_j_jpm-2024-0509_ref_001","doi-asserted-by":"crossref","unstructured":"Guariguata, L, Linnenkamp, U, Beagley, J, Whiting, DR, Cho, NH. Global estimates of the prevalence of hyperglycaemia in pregnancy. Diabetes Res Clin Pract 2014;103:176\u201385. https:\/\/doi.org\/10.1016\/j.diabres.2013.11.003.","DOI":"10.1016\/j.diabres.2013.11.003"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_002","doi-asserted-by":"crossref","unstructured":"Gao, C, Sun, X, Lu, L, Liu, F, Yuan, J. Prevalence of gestational diabetes mellitus in mainland China: a systematic review and meta-analysis. J Diabetes Investig 2019;10:154\u201362. https:\/\/doi.org\/10.1111\/jdi.12854.","DOI":"10.1111\/jdi.12854"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_003","doi-asserted-by":"crossref","unstructured":"Mattick, JS, Makunin, IV. Non-coding RNA. Hum Mol Genet 2006;15:R17\u201329. https:\/\/doi.org\/10.1093\/hmg\/ddl046.","DOI":"10.1093\/hmg\/ddl046"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_004","doi-asserted-by":"crossref","unstructured":"Djebali, S, Davis, CA, Merkel, A, Dobin, A, Lassmann, T, Mortazavi, A, et al.. Landscape of transcription in human cells. Nature 2012;489:101\u20138. https:\/\/doi.org\/10.1038\/nature11233.","DOI":"10.1038\/nature11233"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_005","doi-asserted-by":"crossref","unstructured":"National Human Genome Research Institute. The ENCODE (ENCyclopedia of DNA elements) project. Science 2004;306:636\u201340. https:\/\/doi.org\/10.1126\/science.1105136.","DOI":"10.1126\/science.1105136"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_006","doi-asserted-by":"crossref","unstructured":"Anastasiadou, E, Jacob, LS, Slack, FJ. Non-coding RNA networks in cancer. Nat Rev Cancer 2018;18:5\u201318. https:\/\/doi.org\/10.1038\/nrc.2017.99.","DOI":"10.1038\/nrc.2017.99"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_007","doi-asserted-by":"crossref","unstructured":"Mononen, N, Lyytikainen, LP, Seppala, I, Mishra, PP, Juonala, M, Waldenberger, M, et al.. Whole blood microRNA levels associate with glycemic status and correlate with target mRNAs in pathways important to type 2 diabetes. Sci Rep 2019;9:8887. https:\/\/doi.org\/10.1038\/s41598-019-43793-4.","DOI":"10.1038\/s41598-019-43793-4"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_008","doi-asserted-by":"crossref","unstructured":"Bartel, DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 2004;116:281\u201397. https:\/\/doi.org\/10.1016\/s0092-8674(04)00045-5.","DOI":"10.1016\/S0092-8674(04)00045-5"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_009","doi-asserted-by":"crossref","unstructured":"Finnegan, EF, Pasquinelli, AE. MicroRNA biogenesis: regulating the regulators. Crit Rev Biochem Mol Biol 2013;48:51\u201368. https:\/\/doi.org\/10.3109\/10409238.2012.738643.","DOI":"10.3109\/10409238.2012.738643"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_010","doi-asserted-by":"crossref","unstructured":"Lee, Y, Jeon, K, Lee, JT, Kim, S, Kim, VN. MicroRNA maturation: stepwise processing and subcellular localization. EMBO J 2002;21:4663\u201370. https:\/\/doi.org\/10.1093\/emboj\/cdf476.","DOI":"10.1093\/emboj\/cdf476"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_011","doi-asserted-by":"crossref","unstructured":"Wander, PL, Boyko, EJ, Hevner, K, Parikh, VJ, Tadesse, MG, Sorensen, TK, et al.. Circulating early- and mid-pregnancy microRNAs and risk of gestational diabetes. Diabetes Res Clin Pract 2017;132:1\u201309. https:\/\/doi.org\/10.1016\/j.diabres.2017.07.024.","DOI":"10.1016\/j.diabres.2017.07.024"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_012","doi-asserted-by":"crossref","unstructured":"Sebastiani, G, Guarino, E, Grieco, GE, Formichi, C, Delli, PC, Ceccarelli, E, et al.. Circulating microRNA (miRNA) expression profiling in plasma of patients with gestational diabetes mellitus reveals upregulation of miRNA mir-330-3p. 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Diabetologia 2001;44:209\u201319. https:\/\/doi.org\/10.1007\/s001250051601.","DOI":"10.1007\/s001250051601"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_015","doi-asserted-by":"crossref","unstructured":"Klohonatz, KM, Coleman, SJ, Islas-Trejo, AD, Medrano, JF, Hess, AM, Kalbfleisch, T, et al.. Coding RNA sequencing of equine endometrium during maternal recognition of pregnancy. Genes (Basel) 2019;10. https:\/\/doi.org\/10.3390\/genes10100749.","DOI":"10.3390\/genes10100749"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_016","doi-asserted-by":"crossref","unstructured":"Kim, D, Pertea, G, Trapnell, C, Pimentel, H, Kelley, R, Salzberg, SL. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol 2013;14:R36. https:\/\/doi.org\/10.1186\/gb-2013-14-4-r36.","DOI":"10.1186\/gb-2013-14-4-r36"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_017","doi-asserted-by":"crossref","unstructured":"Agricola, E, Bove, T, Oppizzi, M, Marino, G, Zangrillo, A, Margonato, A, et al.. Ultrasound comet-tail images\u201d: a marker of pulmonary edema: a comparative study with wedge pressure and extravascular lung water. Chest 2005;127:1690\u20135. https:\/\/doi.org\/10.1378\/chest.127.5.1690.","DOI":"10.1378\/chest.127.5.1690"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_018","doi-asserted-by":"crossref","unstructured":"Robinson, MD, McCarthy, DJ, Smyth, GK. Edger: a bioconductor package for differential expression analysis of digital gene expression data. 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Front Immunol 2023;14:1114620. https:\/\/doi.org\/10.3389\/fimmu.2023.1114620.","DOI":"10.3389\/fimmu.2023.1114620"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_026","doi-asserted-by":"crossref","unstructured":"Yung, H, Alnaes-Katjavivi, P, Jones, CJP, El-Bacha, T, Golic, M, Staff, A, et al.. Placental endoplasmic reticulum stress in gestational diabetes: the potential for therapeutic intervention with chemical chaperones and antioxidants. Diabetologia 2016;59:2240\u201350. https:\/\/doi.org\/10.1007\/s00125-016-4040-2.","DOI":"10.1007\/s00125-016-4040-2"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_027","doi-asserted-by":"crossref","unstructured":"Peng, H, Li, M, Li, H. High glucose suppresses the viability and proliferation of HTR-8\/SVneo cells through regulation of the mir-137\/PRKAA1\/IL-6 axis. Int J Mol Med 2018;42:799\u2013810. https:\/\/doi.org\/10.3892\/ijmm.2018.3686.","DOI":"10.3892\/ijmm.2018.3686"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_028","doi-asserted-by":"crossref","unstructured":"Ji, Y, Zhang, W, Yang, J, Li, C. MiR-193b inhibits autophagy and apoptosis by targeting IGFBP5 in high glucose-induced trophoblasts. Placenta 2020;101:185\u201393. https:\/\/doi.org\/10.1016\/j.placenta.2020.09.015.","DOI":"10.1016\/j.placenta.2020.09.015"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_029","doi-asserted-by":"crossref","unstructured":"Ronnau, C, Fussek, S, Smit, FP, Aalders, TW, van Hooij, O, Pinto, P, et al.. Upregulation of mir-3195, mir-3687 and mir-4417 is associated with castration-resistant prostate cancer. World J Urol 2021;39:3789\u201397. https:\/\/doi.org\/10.1007\/s00345-021-03723-4.","DOI":"10.1007\/s00345-021-03723-4"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_030","doi-asserted-by":"crossref","unstructured":"Xie, Q, Chen, C, Li, H, Xu, J, Wu, L, Yu, Y, et al.. Mir-3687 overexpression promotes bladder cancer cell growth by inhibiting the negative effect of FOXP1 on cyclin e2 transcription. Mol Ther 2019;27:1028\u201338. https:\/\/doi.org\/10.1016\/j.ymthe.2019.03.006.","DOI":"10.1016\/j.ymthe.2019.03.006"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_031","doi-asserted-by":"crossref","unstructured":"Kasiviswanathan, D, Chinnasamy, PR, Bhuvaneswari, S, Kumar, P, Sundaresan, L, Philip, M, et al.. Interactome of miRNAs and transcriptome of human umbilical cord endothelial cells exposed to short-term simulated microgravity. NPJ Microgravity 2020;6:18. https:\/\/doi.org\/10.1038\/s41526-020-00108-6.","DOI":"10.1038\/s41526-020-00108-6"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_032","doi-asserted-by":"crossref","unstructured":"Perakakis, N, Kokkinos, A, Peradze, N, Tentolouris, N, Ghaly, W, Tsilingiris, D, et al.. Follistatins in glucose regulation in healthy and obese individuals. Diabetes Obes Metabol 2019;21:683\u201390. https:\/\/doi.org\/10.1111\/dom.13572.","DOI":"10.1111\/dom.13572"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_033","doi-asserted-by":"crossref","unstructured":"Tsuchida, K, Arai, KY, Kuramoto, Y, Yamakawa, N, Hasegawa, Y, Sugino, H. Identification and characterization of a novel follistatin-like protein as a binding protein for the TGF-beta family. J Biol Chem 2000;275:40788\u201396. https:\/\/doi.org\/10.1074\/jbc.m006114200.","DOI":"10.1074\/jbc.M006114200"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_034","doi-asserted-by":"crossref","unstructured":"Bartholin, L, Maguer-Satta, V, Hayette, S, Martel, S, Gadoux, M, Corbo, L, et al.. Transcription activation of FLRG and follistatin by activin a, through smad proteins, participates in a negative feedback loop to modulate activin a function. Oncogene 2002;21:2227\u201335. https:\/\/doi.org\/10.1038\/sj.onc.1205294.","DOI":"10.1038\/sj.onc.1205294"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_035","doi-asserted-by":"crossref","unstructured":"Thadhani, R, Powe, CE, Tjoa, ML, Khankin, E, Ye, J, Ecker, J, et al.. First-trimester follistatin-like-3 levels in pregnancies complicated by subsequent gestational diabetes mellitus. Diabetes Care 2010;33:664\u20139. https:\/\/doi.org\/10.2337\/dc09-1745.","DOI":"10.2337\/dc09-1745"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_036","doi-asserted-by":"crossref","unstructured":"Hu, D, Tian, T, Guo, J, Wang, H, Chen, D, Dong, M. Decreased maternal and placental concentrations of follistatin-like 3 in gestational diabetes. Clin Chim Acta 2012;413:533\u20136. https:\/\/doi.org\/10.1016\/j.cca.2011.10.029.","DOI":"10.1016\/j.cca.2011.10.029"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_037","doi-asserted-by":"crossref","unstructured":"Fujita, K, Iwama, H, Oura, K, Tadokoro, T, Hirose, K, Watanabe, M, et al.. Metformin-suppressed differentiation of human visceral preadipocytes: involvement of microRNAs. Int J Mol Med 2016;38:1135\u201340. https:\/\/doi.org\/10.3892\/ijmm.2016.2729.","DOI":"10.3892\/ijmm.2016.2729"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_038","doi-asserted-by":"crossref","unstructured":"Anfossi, S, Babayan, A, Pantel, K, Calin, GA. Clinical utility of circulating non-coding RNAs - an update. Nat Rev Clin Oncol 2018;15:541\u201363. https:\/\/doi.org\/10.1038\/s41571-018-0035-x.","DOI":"10.1038\/s41571-018-0035-x"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_039","doi-asserted-by":"crossref","unstructured":"Lu, J, Wu, J, Zhao, Z, Wang, J, Chen, Z. Circulating LncRNA serve as fingerprint for gestational diabetes mellitus associated with risk of macrosomia. Cell Physiol Biochem 2018;48:1012\u20138. https:\/\/doi.org\/10.1159\/000491969.","DOI":"10.1159\/000491969"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_040","doi-asserted-by":"crossref","unstructured":"Han, L, Chen, C, Lu, X, Song, Y, Zhang, Z, Zeng, C, et al.. Alterations of 5-hydroxymethylcytosines in circulating cell-free DNA reflect retinopathy in type 2 diabetes. Genomics 2021;113:79\u201387. https:\/\/doi.org\/10.1016\/j.ygeno.2020.11.014.","DOI":"10.1016\/j.ygeno.2020.11.014"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_041","doi-asserted-by":"crossref","unstructured":"Nagai, K, Matsubara, T, Mima, A, Sumi, E, Kanamori, H, Iehara, N, et al.. Gas6 induces akt\/mTOR-mediated mesangial hypertrophy in diabetic nephropathy. Kidney Int 2005;68:552\u201361. https:\/\/doi.org\/10.1111\/j.1523-1755.2005.00433.x.","DOI":"10.1111\/j.1523-1755.2005.00433.x"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_042","doi-asserted-by":"crossref","unstructured":"Huang, Y, Jin, C, Zheng, Y, Li, X, Zhang, S, Zhang, Y, et al.. Knockdown of lncRNA MIR31HG inhibits adipocyte differentiation of human adipose-derived stem cells via histone modification of FABP4. Sci Rep 2017;7:8080. https:\/\/doi.org\/10.1038\/s41598-017-08131-6.","DOI":"10.1038\/s41598-017-08131-6"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_043","doi-asserted-by":"crossref","unstructured":"Ji, Z, Wang, J, Yang, S, Tao, S, Shen, C, Wei, H, et al.. Graphene oxide accelerates diabetic wound repair by inhibiting apoptosis of ad-MSCs via linc00324\/mir-7977\/STK4 pathway. FASEB J 2022;36:e22623. https:\/\/doi.org\/10.1096\/fj.202201079rr.","DOI":"10.1096\/fj.202201079RR"},{"key":"2025060211104106992_j_jpm-2024-0509_ref_044","doi-asserted-by":"crossref","unstructured":"Yoon, J, Lee, KJ, Oh, GS, Kim, GH, Kim, SW. Regulation of nampt expression by transcriptional coactivator NCOA6 in pancreatic beta-cells. 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