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      Increased Pro-Inflammatory T Cells, Senescent T Cells, and Immune-Check Point Molecules in the Placentas of Patients With Gestational Diabetes Mellitus

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          Abstract

          Background

          Gestational diabetes mellitus (GDM) is the most common metabolic complication of pregnancy. To define the altered pathway in GDM placenta, we investigated the transcriptomic profiles from human placenta between GDM and controls.

          Methods

          Clinical parameters and postpartum complications were reviewed in all participants. Differentially expressed canonical pathways were analyzed between the GDM and control groups based on transcriptomic analysis. CD4 + T, CD8 + T, and senescent T cell subsets were determined by flow cytometry based on staining for specific intracellular cytokines.

          Results

          Gene ontology analysis revealed that the placenta of GDM revealed upregulation of diverse mitochondria or DNA replication related pathways and downregulation of T-cell immunity related pathways. The maternal placenta of the GDM group had a higher proportion of CD4 + T and CD8 + T cells than the control group. Interestingly, senescent CD4 + T cells tended to increase and CD8 + T cells were significantly increased in GDM compared to controls, along with increased programmed cell death-1 (CD274 +) expression. Programmed death-ligand 1 expression in syncytotrophoblasts was also significantly increased in patients with GDM.

          Conclusion

          This study demonstrated increased proinflammatory T cells, senescent T cells and immune-check point molecules in GDM placentas, suggesting that changes in senescent T cells and immune-escape signaling might be related to the pathophysiology of GDM.

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          Most cited references47

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          Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.

          Recent advances in high-throughput cDNA sequencing (RNA-seq) can reveal new genes and splice variants and quantify expression genome-wide in a single assay. The volume and complexity of data from RNA-seq experiments necessitate scalable, fast and mathematically principled analysis software. TopHat and Cufflinks are free, open-source software tools for gene discovery and comprehensive expression analysis of high-throughput mRNA sequencing (RNA-seq) data. Together, they allow biologists to identify new genes and new splice variants of known ones, as well as compare gene and transcript expression under two or more conditions. This protocol describes in detail how to use TopHat and Cufflinks to perform such analyses. It also covers several accessory tools and utilities that aid in managing data, including CummeRbund, a tool for visualizing RNA-seq analysis results. Although the procedure assumes basic informatics skills, these tools assume little to no background with RNA-seq analysis and are meant for novices and experts alike. The protocol begins with raw sequencing reads and produces a transcriptome assembly, lists of differentially expressed and regulated genes and transcripts, and publication-quality visualizations of analysis results. The protocol's execution time depends on the volume of transcriptome sequencing data and available computing resources but takes less than 1 d of computer time for typical experiments and ∼1 h of hands-on time.
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            2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2021

            (2020)
            The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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              The Pathophysiology of Gestational Diabetes Mellitus

              Gestational diabetes mellitus (GDM) is a serious pregnancy complication, in which women without previously diagnosed diabetes develop chronic hyperglycemia during gestation. In most cases, this hyperglycemia is the result of impaired glucose tolerance due to pancreatic β-cell dysfunction on a background of chronic insulin resistance. Risk factors for GDM include overweight and obesity, advanced maternal age, and a family history or any form of diabetes. Consequences of GDM include increased risk of maternal cardiovascular disease and type 2 diabetes and macrosomia and birth complications in the infant. There is also a longer-term risk of obesity, type 2 diabetes, and cardiovascular disease in the child. GDM affects approximately 16.5% of pregnancies worldwide, and this number is set to increase with the escalating obesity epidemic. While several management strategies exist—including insulin and lifestyle interventions—there is not yet a cure or an efficacious prevention strategy. One reason for this is that the molecular mechanisms underlying GDM are poorly defined. This review discusses what is known about the pathophysiology of GDM, and where there are gaps in the literature that warrant further exploration.
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                Author and article information

                Journal
                J Korean Med Sci
                J Korean Med Sci
                JKMS
                Journal of Korean Medical Science
                The Korean Academy of Medical Sciences
                1011-8934
                1598-6357
                12 December 2022
                16 November 2022
                : 37
                : 48
                : e338
                Affiliations
                [1 ]Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea.
                [2 ]Laboratory of Endocrinology and Immune System, Chungnam National University College of Medicine, Daejeon, Korea.
                [3 ]Department of Pathology, Chungnam National University College of Medicine, Daejeon, Korea.
                [4 ]Department of Obstetrics and Gynecology, Chungnam National University Hospital, Daejeon, Korea.
                [5 ]Department of Obstetrics and Gynecology, Chungnam National University Sejong Hospital, Sejong, Korea.
                [6 ]Department of Obstetrics and Gynecology, Chungnam National University College of Medicine, Daejeon, Korea.
                Author notes
                Address for Correspondence: Hyun Jin Kim, MD, PhD. Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon 35015, Republic of Korea. kimhj43@ 123456cnuh.co.kr
                Address for Correspondence: Mina Lee, MD, PhD. Department of Obstetrics and Gynecology, Chungnam National University College of Medicine, 282 Munhwa-ro, Jung-gu, Daejeon 35015, Republic of Korea. minari73@ 123456cnuh.co.kr

                *Yea Eun Kang, Hyon-Seung Yi and Min-Kyung Yeo contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-2012-3716
                https://orcid.org/0000-0002-3767-1954
                https://orcid.org/0000-0001-8873-0021
                https://orcid.org/0000-0002-3920-0064
                https://orcid.org/0000-0002-3053-5204
                https://orcid.org/0000-0002-2257-2638
                https://orcid.org/0000-0002-6493-3745
                https://orcid.org/0000-0001-5793-3774
                https://orcid.org/0000-0002-0177-1849
                https://orcid.org/0000-0001-6674-9506
                https://orcid.org/0000-0001-5976-7175
                https://orcid.org/0000-0002-3414-8949
                https://orcid.org/0000-0002-2285-2381
                https://orcid.org/0000-0002-6760-4963
                Article
                10.3346/jkms.2022.37.e338
                9745681
                36513052
                c7f53531-7f42-4708-b29f-1ef8504f9c32
                © 2022 The Korean Academy of Medical Sciences.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 July 2022
                : 22 September 2022
                Funding
                Funded by: National Research Foundation Korea, CrossRef https://doi.org/10.13039/501100003725;
                Award ID: NRF-2022R1F1A1074608
                Award ID: NRF-2021R1A2C4001829
                Funded by: Chungnam National University Hospital, CrossRef https://doi.org/10.13039/501100007631;
                Funded by: Korea Health Industry Development Institute, CrossRef https://doi.org/10.13039/501100003625;
                Award ID: HR20C0025
                Categories
                Original Article
                Endocrinology, Nutrition & Metabolism

                Medicine
                gestational diabetes,placenta,rna-sequencing,t cell immunity,senescent t cells,immune-check point molecules

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