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Cordier AG, Zerbib E, Favier A, Dabi Y, Daraï E. Value of Non-Coding RNA Expression in Biofluids to Identify Patients at Low Risk of Pathologies Associated with Pregnancy. Diagnostics (Basel) 2024; 14:729. [PMID: 38611642 PMCID: PMC11011513 DOI: 10.3390/diagnostics14070729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 03/25/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
Pregnancy-related complications (PRC) impact maternal and fetal morbidity and mortality and place a huge burden on healthcare systems. Thus, effective diagnostic screening strategies are crucial. Currently, national and international guidelines define patients at low risk of PRC exclusively based on their history, thus excluding the possibility of identifying patients with de novo risk (patients without a history of disease), which represents most women. In this setting, previous studies have underlined the potential contribution of non-coding RNAs (ncRNAs) to detect patients at risk of PRC. However, placenta biopsies or cord blood samples are required, which are not simple procedures. Our review explores the potential of ncRNAs in biofluids (fluids that are excreted, secreted, or developed because of a physiological or pathological process) as biomarkers for identifying patients with low-risk pregnancies. Beyond the regulatory roles of ncRNAs in placental development and vascular remodeling, we investigated their specific expressions in biofluids to determine favorable pregnancy outcomes as well as the most frequent pathologies of pregnant women. We report distinct ncRNA panels associated with PRC based on omics technologies and subsequently define patients at low risk. We present a comprehensive analysis of ncRNA expression in biofluids, including those using next-generation sequencing, shedding light on their predictive value in clinical practice. In conclusion, this paper underscores the emerging significance of ncRNAs in biofluids as promising biomarkers for risk stratification in PRC. The investigation of ncRNA expression patterns and their potential clinical applications is of diagnostic, prognostic, and theragnostic value and paves the way for innovative approaches to improve prenatal care and maternal and fetal outcomes.
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Affiliation(s)
| | - Elie Zerbib
- Department of Obstetrics and Reproductive Medicine, Sorbonne University, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.-G.C.); (Y.D.)
| | | | | | - Emile Daraï
- Department of Obstetrics and Reproductive Medicine, Sorbonne University, Hôpital Tenon, 4 Rue de la Chine, 75020 Paris, France; (A.-G.C.); (Y.D.)
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Feng X, Yang X, Zhong Y, Cheng X. The role of ncRNAs-mediated pyroptosis in diabetes and its vascular complications. Cell Biochem Funct 2024; 42:e3968. [PMID: 38439590 DOI: 10.1002/cbf.3968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/06/2024]
Abstract
Over the past decade, the prevalence of diabetes has increased significantly worldwide, leading to an increase in vascular complications of diabetes (VCD), such as diabetic cardiomyopathy (DCM), diabetic nephropathy (DN), and diabetic retinopathy (DR). Noncoding RNAs (ncRNAs), such as microRNAs (miRNAs), long Noncoding RNAs (lncRNAs), and circular RNAs (circRNAs), play a key role in cellular processes, including the pathophysiology of diabetes and VCD via pyroptosis. ncRNAs (e.g., miR-17, lnc-MEG3, and lnc-KCNQ1OT1) can regulate pyroptosis in pancreatic β cells. Some ncRNAs are involved in VCD progression. For example, miR-21, lnc-KCNQ1OT1, lnc-GAS5, and lnc-MALAT1 were reported in DN and DCM, and lnc-MIAT was identified in DCM and DR. Herein, this review aimed to summarize recent research findings related to ncRNAs-mediated pyroptosis at the onset and progression of diabetes and VCD.
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Affiliation(s)
- Xinyao Feng
- Hunan Key laboratory of Vascular Biology and Translational Medicine, Medical School, Hunan University of Chinese Medicine, Changsha, China
| | - Xiaoxu Yang
- Hunan Key laboratory of Vascular Biology and Translational Medicine, Medical School, Hunan University of Chinese Medicine, Changsha, China
| | - Yancheng Zhong
- Hunan Key laboratory of Vascular Biology and Translational Medicine, Medical School, Hunan University of Chinese Medicine, Changsha, China
| | - Xihua Cheng
- Hunan Key laboratory of Vascular Biology and Translational Medicine, Medical School, Hunan University of Chinese Medicine, Changsha, China
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Gao D, Ren L, Hao YD, Schaduangrat N, Liu XW, Yuan SS, Yang YH, Wang Y, Shoombuatong W, Ding H. The role of ncRNA regulatory mechanisms in diseases-case on gestational diabetes. Brief Bioinform 2023; 25:bbad489. [PMID: 38189542 PMCID: PMC10772982 DOI: 10.1093/bib/bbad489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/16/2023] [Accepted: 12/01/2023] [Indexed: 01/09/2024] Open
Abstract
Non-coding RNAs (ncRNAs) are a class of RNA molecules that do not have the potential to encode proteins. Meanwhile, they can occupy a significant portion of the human genome and participate in gene expression regulation through various mechanisms. Gestational diabetes mellitus (GDM) is a pathologic condition of carbohydrate intolerance that begins or is first detected during pregnancy, making it one of the most common pregnancy complications. Although the exact pathogenesis of GDM remains unclear, several recent studies have shown that ncRNAs play a crucial regulatory role in GDM. Herein, we present a comprehensive review on the multiple mechanisms of ncRNAs in GDM along with their potential role as biomarkers. In addition, we investigate the contribution of deep learning-based models in discovering disease-specific ncRNA biomarkers and elucidate the underlying mechanisms of ncRNA. This might assist community-wide efforts to obtain insights into the regulatory mechanisms of ncRNAs in disease and guide a novel approach for early diagnosis and treatment of disease.
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Affiliation(s)
- Dong Gao
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Liping Ren
- School of Healthcare Technology, Chengdu Neusoft University, Chengdu 611844, China
| | - Yu-Duo Hao
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Nalini Schaduangrat
- Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
| | - Xiao-Wei Liu
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Shi-Shi Yuan
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yu-He Yang
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yan Wang
- Department of Cardiovascular Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Watshara Shoombuatong
- Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
| | - Hui Ding
- School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China
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Wang Y, Song M, Qi BR. Effects of insulin aspart and metformin on gestational diabetes mellitus and inflammatory markers. World J Diabetes 2023; 14:1532-1540. [PMID: 37970132 PMCID: PMC10642422 DOI: 10.4239/wjd.v14.i10.1532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/02/2023] [Accepted: 08/15/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) refers to hyperglycemia caused by insulin resistance or insufficient insulin secretion during pregnancy. Patients with GDM have a high risk of pregnancy complications, which can adversely affect both maternal and fetal health. Therefore, early diagnosis, treatment and monitoring of GDM are essential. In recent years, a new treatment scheme represented by insulin aspart combined with metformin has received increasing attention. AIM To explore the effects of insulin aspart combined with metformin on patients with GDM and inflammatory markers. METHODS From April 2020 to September 2022, 124 patients with GDM in Sanya Women and Children's Hospital Managed by Shanghai Children's Medical Center were collected and analyzed retrospectively. The control group (CG) comprised 62 patients treated with insulin aspart alone, and 62 patients treated with insulin aspart and metformin formed the observation group (OG). Before and after treatment, improvement of blood-glucose-related indexes [fasting blood glucose (FBG), 2-h postprandial glucose (2h PG) and hemoglobin A1c (HbA1c)], serum related factor [serum homocysteine (Hcy)], serum inflammatory cytokines [tumor necrosis factor (TNF)-α, interleukin (IL)-6 and C-reactive protein (CRP)] were compared between the two groups. The clinical efficacy, adverse pregnancy outcomes and incidence of pregnancy complications were compared between the two groups. RESULTS After treatment, the levels of FBG, 2h PG, HbA1c, Hcy, TNF-α, IL-6 and CRP in both groups were significantly decreased (P < 0.05), and the levels of FBG, 2h PG, HbA1c, Hcy, TNF-α, IL-6 and CRP in the OG were lower than in the CG (P < 0.05). The total clinical effectiveness in the OG was higher than that in the CG (P < 0.05). The total incidence of adverse pregnancy outcomes and complications in the OG was significantly lower than in the CG (P < 0.05). CONCLUSION Insulin aspart combined with metformin are effective for treatment of GDM, which can reduce blood-glucose-related indexes, Hcy and serum inflammatory cytokines, and risk of adverse pregnancy outcomes and complications.
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Affiliation(s)
- Yan Wang
- Department of Obstetrics and Gynecology, Sanya Women and Children’s Hospital Managed by Shanghai Children’s Medical Center, Sanya 572099, Hainan Province, China
| | - Min Song
- Department of Obstetrics and Gynecology, Sanya Women and Children’s Hospital Managed by Shanghai Children’s Medical Center, Sanya 572099, Hainan Province, China
| | - Bang-Ruo Qi
- Department of Obstetrics and Gynecology, Sanya Women and Children’s Hospital Managed by Shanghai Children’s Medical Center, Sanya 572099, Hainan Province, China
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Wang M, Zheng L, Ma S, Lin R, Li J, Yang S. Biogenesis and function of exosome lncRNAs and their role in female pathological pregnancy. Front Endocrinol (Lausanne) 2023; 14:1191721. [PMID: 37745705 PMCID: PMC10515720 DOI: 10.3389/fendo.2023.1191721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Preeclampsia, gestational diabetes mellitus, and recurrent spontaneous abortion are common maternal pregnancy complications that seriously endanger women's lives and health, and their occurrence is increasing year after year with a rejuvenation trend. In contrast to biomarkers found freely in tissues or body fluids, exosomes exist in a relatively independent environment and provide a higher level of stability. As backbone molecules, guidance molecules, and signaling molecules in the nucleus, lncRNAs can regulate gene expression. In the cytoplasm, lncRNAs can influence gene expression levels by modifying mRNA stability, acting as competitive endogenous RNAs to bind miRNAs, and so on. Exosomal lncRNAs can exist indefinitely and are important in intercellular communication and signal transduction. Changes in maternal serum exosome lncRNA expression can accurately and timely reflect the progression and regression of pregnancy-related diseases. The purpose of this paper is to provide a reference for clinical research on the pathogenesis, diagnosis, and treatment methods of pregnancy-related diseases by reviewing the role of exosome lncRNAs in female pathological pregnancy and related molecular mechanisms.
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Affiliation(s)
- Min Wang
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Lianwen Zheng
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Shuai Ma
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Ruixin Lin
- Department of Hepato-Biliary-Pancreatic Surgery, The Second Hospital of Jilin University, Changchun, China
| | - Jiahui Li
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
| | - Shuli Yang
- Department of Obstetrics and Gynecology, The Second Hospital of Jilin University, Changchun, China
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Lowe WL. Genetics and Epigenetics: Implications for the Life Course of Gestational Diabetes. Int J Mol Sci 2023; 24:6047. [PMID: 37047019 PMCID: PMC10094577 DOI: 10.3390/ijms24076047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Gestational diabetes (GDM) is one of the most common complications of pregnancy, affecting as many as one in six pregnancies. It is associated with both short- and long-term adverse outcomes for the mother and fetus and has important implications for the life course of affected women. Advances in genetics and epigenetics have not only provided new insight into the pathophysiology of GDM but have also provided new approaches to identify women at high risk for progression to postpartum cardiometabolic disease. GDM and type 2 diabetes share similarities in their pathophysiology, suggesting that they also share similarities in their genetic architecture. Candidate gene and genome-wide association studies have identified susceptibility genes that are shared between GDM and type 2 diabetes. Despite these similarities, a much greater effect size for MTNR1B in GDM compared to type 2 diabetes and association of HKDC1, which encodes a hexokinase, with GDM but not type 2 diabetes suggest some differences in the genetic architecture of GDM. Genetic risk scores have shown some efficacy in identifying women with a history of GDM who will progress to type 2 diabetes. The association of epigenetic changes, including DNA methylation and circulating microRNAs, with GDM has also been examined. Targeted and epigenome-wide approaches have been used to identify DNA methylation in circulating blood cells collected during early, mid-, and late pregnancy that is associated with GDM. DNA methylation in early pregnancy had some ability to identify women who progressed to GDM, while DNA methylation in blood collected at 26-30 weeks gestation improved upon the ability of clinical factors alone to identify women at risk for progression to abnormal glucose tolerance post-partum. Finally, circulating microRNAs and long non-coding RNAs that are present in early or mid-pregnancy and associated with GDM have been identified. MicroRNAs have also proven efficacious in predicting both the development of GDM as well as its long-term cardiometabolic complications. Studies performed to date have demonstrated the potential for genetic and epigenetic technologies to impact clinical care, although much remains to be done.
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Affiliation(s)
- William L Lowe
- Department of Medicine, Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior Street, Chicago, IL 60611, USA
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Jiang W, Sun X, Liu F, Cheng G, Li S, Xu M, Wu Y, Wang L. Circulating lncRNAs NONHSAT054669.2 and ENST00000525337 can be used as early biomarkers of gestational diabetes mellitus. Exp Biol Med (Maywood) 2023; 248:508-518. [PMID: 37070250 PMCID: PMC10281535 DOI: 10.1177/15353702231160327] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 02/01/2023] [Indexed: 04/19/2023] Open
Abstract
Early diagnosis can help prevent and reduce the adverse effects of gestational diabetes mellitus (GDM). This study intended to investigate key circulating long non-coding RNAs (lncRNAs) as novel biomarkers for diagnosis of GDM at the early stages. First, lncRNA microarray analysis was conducted for plasma samples of GDM women before delivery and 48 h after delivery. The expression of differentially expressed lncRNAs in clinical samples at different trimesters was randomly validated by quantitative polymerase chain reaction (PCR). Moreover, the correlation between lncRNA expression and oral glucose tolerance test (OGTT) level in GDM women during the second trimester was analyzed, followed by evaluating the diagnostic value of key lncRNAs during different trimesters using receiver operating characteristic (ROC) curve. Higher NONHSAT054669.2 expression and lower ENST00000525337 expression were revealed in GDM women before delivery relative to 48 h after delivery (P < 0.05). The expression of NONHSAT054669.2 and ENST00000525337 in GDM women during the first and second trimesters was dramatically higher than pregnant women (P < 0.05) with normal glucose tolerance (NGT). During the second trimester, NONHSAT054669.2 expression was positively related to OGTT level at 1 h (r = 0.41455, P < 0.001). Furthermore, ROC curve analysis revealed that ENST00000525337 alone, NONHSAT054669.2 alone, and their combination had high diagnostic value for GDM during the first (area under the ROC curve (AUC) = 0.979, 0.956, and 0.984, respectively) and second (AUC = 0.829, 0.809, and 0.838, respectively) trimesters (all P < 0.001). The plasma level of NONHSAT054669.2 and ENST00000525337 may be applied as novel diagnostic biomarkers for early diagnosis of GDM.
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Affiliation(s)
- Wen Jiang
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, P.R. China
| | - Xiubin Sun
- Department of Biostatistics, School of Public Health, Cheeloo Collage of Medicine, Shandong University, Jinan 250012, P.R. China
| | - Fangfei Liu
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, P.R. China
| | - Guanghui Cheng
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, P.R. China
| | - Siyuan Li
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated with Shandong University, Jinan 250001, P.R. China
| | - Mengru Xu
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing 100730, P.R. China
| | - Yu Wu
- Department of Gynecology and Obstetrics, Liaocheng People’s Hospital, Liaocheng 252000, P.R. China
| | - Lina Wang
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250033, P.R. China
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The Mystery of Exosomes in Gestational Diabetes Mellitus. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:2169259. [PMID: 35720179 PMCID: PMC9200544 DOI: 10.1155/2022/2169259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 05/31/2022] [Indexed: 11/27/2022]
Abstract
Gestational diabetes mellitus (GDM) is one of the common pregnancy complications, which increases the risk of short-term and long-term adverse consequences in both the mother and offspring. However, the pathophysiological mechanism of GDM is still poorly understood. Inflammation, insulin resistance and oxidative stress are considered critical factors in the occurrence and development of GDM. Although the lifestyle intervention and insulin are the primary treatment, adverse pregnancy outcomes still cannot be ignored. Exosomes have a specific function of carrying biological information, which can transmit information to target cells and play an essential role in intercellular communication. Their possible roles in normal pregnancy and GDM have been widely concerned. The possibility of exosomal cargos as biomarkers of GDM is proposed. This paper reviews the literature in recent years and discusses the role of exosomes in GDM and their possible mechanisms to provide some reference for the prediction, prevention, and treatment of GDM and improve the outcome of pregnancy.
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Effects of Early Nursing Monitoring on Pregnancy Outcomes of Pregnant Women with Gestational Diabetes Mellitus under Internet of Things. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:8535714. [PMID: 35693264 PMCID: PMC9177328 DOI: 10.1155/2022/8535714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 11/30/2022]
Abstract
To analyze the effect of early nursing intervention based on fetal heart signal extraction algorithm and Internet of Things (IoT) wireless communication technology on the adverse pregnancy outcomes of pregnant women with gestational diabetes mellitus (GDM) and newborns, 88 pregnant women diagnosed with GDM who underwent the 75 g glucose tolerance test at 24-28 gestational weeks in the hospital were selected as the research objects. According to the different intervention methods, the patients were divided into 44 cases of the experimental group (nursing intervention based on maternal and infant monitoring system) and 44 cases of the control group (outpatient follow-up intervention). The results showed that the compliance score and diet compliance rate of patients in the experimental group were signally higher than those in the control group at 1 and 3 months after intervention (P < 0.05). The levels of fasting blood glucose (FBG), blood glucose 2 hours after the meal, and hemoglobin A1c (HbA1c) in the experimental group were lower than those in the control group at 1 and 3 months after intervention (P < 0.05). The number of giant babies, hypoglycemia, hyperbilirubinemia, fetal distress, premature delivery, and birth weight in the experimental group was all lower than those in the control group, while the Apgar scores were higher than that in the control group (P < 0.05). To sum up, the intervention based on the intelligent maternal and infant monitoring system could timely help pregnant women adjust their diet structure and optimize the management of blood glucose and blood lipids, thus effectively improving the adverse pregnancy outcome and maintaining the health of pregnant women and newborns.
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Chen YM, Zhu Q, Cai J, Zhao ZJ, Yao BB, Zhou LM, Ji LD, Xu J. Upregulation of T Cell Receptor Signaling Pathway Components in Gestational Diabetes Mellitus Patients: Joint Analysis of mRNA and circRNA Expression Profiles. Front Endocrinol (Lausanne) 2021; 12:774608. [PMID: 35046894 PMCID: PMC8763273 DOI: 10.3389/fendo.2021.774608] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 12/01/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, and its pathogenesis is still unclear. Studies have shown that circular RNAs (circRNAs) can regulate blood glucose levels by targeting mRNAs, but the role of circRNAs in GDM is still unknown. Therefore, a joint microarray analysis of circRNAs and their target mRNAs in GDM patients and healthy pregnant women was carried out. METHODS In this study, microarray analyses of mRNA and circRNA in 6 GDM patients and 6 healthy controls were conducted to identify the differentially expressed mRNA and circRNA in GDM patients, and some of the discovered mRNAs and circRNAs were further validated in additional 56 samples by quantitative realtime PCR (qRT-PCR) and droplet digital PCR (ddPCR). RESULTS Gene ontology and pathway analyses showed that the differentially expressed genes were significantly enriched in T cell immune-related pathways. Cross matching of the differentially expressed mRNAs and circRNAs in the top 10 KEGG pathways identified 4 genes (CBLB, ITPR3, NFKBIA, and ICAM1) and 4 corresponding circRNAs (circ-CBLB, circ-ITPR3, circ-NFKBIA, and circ-ICAM1), and these candidates were subsequently verified in larger samples. These differentially expressed circRNAs and their linear transcript mRNAs were all related to the T cell receptor signaling pathway, and PCR results confirmed the initial microarray results. Moreover, circRNA/miRNA/mRNA interactions and circRNA-binding proteins were predicted, and circ-CBLB, circ-ITPR3, and circ-ICAM1 may serve as GDM-related miRNA sponges and regulate the expression of CBLB, ITPR3, NFKBIA, and ICAM1 in cellular immune pathways. CONCLUSION Upregulation of T cell receptor signaling pathway components may represent the major pathological mechanism underlying GDM, thus providing a potential approach for the prevention and treatment of GDM.
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Affiliation(s)
- Yan-ming Chen
- Department of Science and Education, Affiliated People’s Hospital of Ningbo University, Ningbo, China
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Qiong Zhu
- Department of Pediatrics, Affiliated People’s Hospital of Ningbo University, Ningbo, China
| | - Jie Cai
- Department of Reproductive Medicine, Ningbo Women and Children’s Hospital, Ningbo, China
| | - Zhi-jia Zhao
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Bin-bin Yao
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
| | - Li-ming Zhou
- Department of Reproductive Medicine, Ningbo Women and Children’s Hospital, Ningbo, China
| | - Lin-dan Ji
- Department of Science and Education, Affiliated People’s Hospital of Ningbo University, Ningbo, China
- Department of Biochemistry, School of Medicine, Ningbo University, Ningbo, China
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
- *Correspondence: Lin-dan Ji, ; Jin Xu,
| | - Jin Xu
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo, China
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
- *Correspondence: Lin-dan Ji, ; Jin Xu,
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