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Halvatsiotis P, Tsokaki T, Tsitsis V, Palaiodimou L, Tsivgoulis G, Tsangaris I, Panagiotou MO, Houhoula D. IL-6 Polymorphism as a Predisposing Genetic Factor for Gestational Diabetes or Preeclampsia Development in Pregnancy with Obesity in Relation to VEGF and VEGFF Receptor Gene Expression Modalities. Diagnostics (Basel) 2024; 14:1206. [PMID: 38893732 PMCID: PMC11171899 DOI: 10.3390/diagnostics14111206] [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: 05/06/2024] [Revised: 05/30/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024] Open
Abstract
The increased prevalence of obesity worldwide has been implicated in the alarming rise of the incidence of gestational diabetes and preeclampsia, which are both considered threatening conditions for both mother and fetus. We studied gene polymorphisms of the proinflammatory cytokine Interleukin 6 (IL-6) and the gene expression levels of VEGF (vascular endothelial growth factor) and VEGF-R (endothelial growth factor receptor), all known to be involved in pregnancy complications, aiming to identify possible predisposing risk factors in pregnancies with obesity. The G allele of IL-6 was found to correspond with an increased risk for gestational diabetes and preeclampsia occurrence. Furthermore, in obese pregnant mothers with either gestational diabetes or pre-existing type 2 diabetes and those who developed preeclampsia, it was confirmed that gene expression levels of VEGF were reduced while they were increased for VEGF receptors. We conclude that the genetic profile of an obese pregnant woman shares a common background with that of a patient with pre-existing type 2 diabetes mellitus, and therefore predisposes them to complications in pregnancy.
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Affiliation(s)
- Panagiotis Halvatsiotis
- 2nd Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens, University General Hospital “Attikon”, 124 62 Athens, Greece
| | - Theodora Tsokaki
- 2nd Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens, University General Hospital “Attikon”, 124 62 Athens, Greece
| | - Vasileios Tsitsis
- Obstetrics and Gynecology Department, General Hospital of Pyrgos, 271 00 Pyrgos, Greece
| | - Lina Palaiodimou
- 2nd Department of Neurology, National and Kapodistrian University of Athens, University General Hospital “Attikon”, 124 62 Athens, Greece
| | - Georgios Tsivgoulis
- 2nd Department of Neurology, National and Kapodistrian University of Athens, University General Hospital “Attikon”, 124 62 Athens, Greece
| | - Iraklis Tsangaris
- 2nd Department of Critical Care, National and Kapodistrian University of Athens, University General Hospital “Attikon”, 124 62 Athens, Greece
| | - Maria Ourania Panagiotou
- 2nd Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens, University General Hospital “Attikon”, 124 62 Athens, Greece
| | - Dimitra Houhoula
- Department of Food Science and Technology, University of West Attica, 122 43 Athens, Greece
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Han Z, Li J, Yi X, Zhang T, Liao D, You J, Ai J. Diagnostic accuracy of interleukin-6 in multiple diseases: An umbrella review of meta-analyses. Heliyon 2024; 10:e27769. [PMID: 38515672 PMCID: PMC10955306 DOI: 10.1016/j.heliyon.2024.e27769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 03/06/2024] [Accepted: 03/06/2024] [Indexed: 03/23/2024] Open
Abstract
Objective This review aims to conduct a comprehensive study of the diagnostic accuracy of interleukin-6 (IL-6) for multiple diseases by utilizing existing systematic reviews and meta-analyses. Methods We performed a thorough search of Embase, Web of Science, PubMed, and Cochrane Database of Systematic Reviews up to April 2023 to gather meta-analyses that investigate the diagnostic accuracy of IL-6. To assess the methodological quality of the studies, we employed the Assessing the Methodological Quality of Systematic Reviews-2 and Grading of Recommendations, Assessment, Development and Evaluation criteria. Results We included 34 meta-analyses out of the 3024 articles retrieved from the search. These meta-analyses covered 9 categories of diseases of the International Classification of Diseases-11. Studies rated as "Critically Low" or "Very Low" in the quality assessment process were excluded, resulting in a total of 6 meta-analyses that encompassed sepsis, colorectal cancer, tuberculous pleural effusion (TPE), endometriosis, among others. Among these diseases, IL-6 demonstrated a relatively high diagnostic potential in accurately identifying TPE and endometriosis. Conclusions IL-6 exhibited favorable diagnostic accuracy across multiple diseases, suggesting its potential as a reliable diagnostic biomarker in the near future. Substantial evidence supported its high diagnostic accuracy, particularly in the cases of TPE and endometriosis.
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Affiliation(s)
| | | | | | - Tianyi Zhang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, 88 South Keyuan Road, Chengdu, 610041, PR China
| | - Dazhou Liao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, 88 South Keyuan Road, Chengdu, 610041, PR China
| | - Jia You
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, 88 South Keyuan Road, Chengdu, 610041, PR China
| | - Jianzhong Ai
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, 88 South Keyuan Road, Chengdu, 610041, PR China
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Cao WL, Yu CP, Zhang LL. Serum proteins differentially expressed in gestational diabetes mellitus assessed using isobaric tag for relative and absolute quantitation proteomics. World J Clin Cases 2024; 12:1395-1405. [PMID: 38576811 PMCID: PMC10989458 DOI: 10.12998/wjcc.v12.i8.1395] [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: 12/01/2023] [Revised: 01/08/2024] [Accepted: 02/18/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND As a well-known fact to the public, gestational diabetes mellitus (GDM) could bring serious risks for both pregnant women and infants. During this important investigation into the linkage between GDM patients and their altered expression in the serum, proteomics techniques were deployed to detect the differentially expressed proteins (DEPs) of in the serum of GDM patients to further explore its pathogenesis, and find out possible biomarkers to forecast GDM occurrence. AIM To investigation serum proteins differentially expressed in GDM were assessed using isobaric tag for relative and absolute quantitation (iTRAQ) proteomics and bioinformatics analyses. METHODS Subjects were divided into GDM and normal control groups according to the IADPSG diagnostic criteria. Serum samples were randomly selected from four cases in each group at 24-28 wk of gestation, and the blood samples were identified by applying iTRAQ technology combined with liquid chromatography-tandem mass spectrometry. Key proteins and signaling pathways associated with GDM were identified by bioinformatics analysis, and the expression of key proteins in serum from 12 wk to 16 wk of gestation was further verified using enzyme-linked immunosorbent assay (ELISA). RESULTS Forty-seven proteins were significantly differentially expressed by analyzing the serum samples between the GDM gravidas as well as the healthy ones. Among them, 31 proteins were found to be upregulated notably and the rest 16 proteins were downregulated remarkably. Bioinformatic data report revealed abnormal expression of proteins associated with lipid metabolism, coagulation cascade activation, complement system and inflammatory response in the GDM group. ELISA results showed that the contents of RBP4, as well as ANGPTL8, increased in the serum of GDM gravidas compared with the healthy ones, and this change was found to initiate from 12 wk to 16 wk of gestation. CONCLUSION GDM symptoms may involve abnormalities in lipid metabolism, coagulation cascade activation, complement system and inflammatory response. RBP4 and ANGPTL8 are expected to be early predictors of GDM.
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Affiliation(s)
- Wei-Li Cao
- Department of Women’s Health Care, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, Hubei Province, China
| | - Cui-Ping Yu
- Obstetrical Department, The First People’s Hospital of Jiangxia District Wuhan City (Union Jiangnan Hospital Huazhong University of Science and Technology), Wuhan 430200, Hubei Province, China
| | - Ling-Li Zhang
- Department of Gynecology, Maternal and Child Health Hospital of Hubei Province, Wuhan 430070, Hubei Province, China
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Chen JL, Dai HF, Kan XC, Wu J, Chen HW. The integrated bioinformatic analysis identifies immune microenvironment-related potential biomarkers for patients with gestational diabetes mellitus. Front Immunol 2024; 15:1296855. [PMID: 38449866 PMCID: PMC10917066 DOI: 10.3389/fimmu.2024.1296855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/22/2024] [Indexed: 03/08/2024] Open
Abstract
Background Gestational diabetes mellitus (GDM), a transient disease, may lead to short- or long-term adverse influences on maternal and fetal health. Therefore, its potential functions, mechanisms and related molecular biomarkers must be comprehended for the control, diagnosis and treatment of GDM. Methods The differentially expressed genes (DEGs) were identified using GSE49524 and GSE87295 associated with GDM from the Gene Expression Omnibus database, followed by function enrichment analysis, protein-protein interactions network construction, hub DEGs mining, diagnostic value evaluation and immune infiltration analysis. Finally, hub DEGs, the strongest related to immune infiltration, were screened as immune-related biomarkers. Results A hundred and seven DEGs were identified between patients with GDM and healthy individuals. Six hub genes with high diagnostic values, including ALDH1A1, BMP4, EFNB2, MME, PLAUR and SLIT2, were identified. Among these, two immune-related genes (PLAUR and SLIT2) with the highest absolute correlation coefficient were considered immune-related biomarkers in GDM. Conclusion Our study provides a comprehensive analysis of GDM, which would provide a foundation for the development of diagnosis and treatment of GDM.
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Affiliation(s)
- Jie-ling Chen
- Brain Function and Disease Laboratory, Shantou University Medical College, Shantou, Guangdong, China
| | - Hui-fang Dai
- Department of Physiology, Shantou University Medical College, Shantou, Guangdong, China
| | - Xin-chen Kan
- Brain Function and Disease Laboratory, Shantou University Medical College, Shantou, Guangdong, China
- Department of Physiology, Shantou University Medical College, Shantou, Guangdong, China
| | - Jie Wu
- Brain Function and Disease Laboratory, Shantou University Medical College, Shantou, Guangdong, China
- Department of Physiology, Shantou University Medical College, Shantou, Guangdong, China
- Department of Neurosurgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Hong-Wu Chen
- Brain Function and Disease Laboratory, Shantou University Medical College, Shantou, Guangdong, China
- Department of Physiology, Shantou University Medical College, Shantou, Guangdong, China
- Department of Neurosurgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
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Zargar M, Ghafourian M, Behrahi F, Nikbakht R, Salehi AM. Association of recurrent implantation failure and recurrent pregnancy loss with peripheral blood natural killer cells and interferon-gamma level. Obstet Gynecol Sci 2024; 67:112-119. [PMID: 37986570 DOI: 10.5468/ogs.23120] [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: 04/20/2023] [Accepted: 10/10/2023] [Indexed: 11/22/2023] Open
Abstract
OBJECTIVE Fetal uterine survival depends on maintaining an immune balance between the mother and fetus. This study aimed to investigate the correlation of blood peripheral natural killer (NK) cells and interferon-gamma (IFN-γ) with recurrent recurrent implantation failure (RIF) and recurrent pregnancy loss (RPL). METHODS In this case-control study, peripheral blood samples were obtained from three groups of RPL, RIF, and parous women without a history of abortion or infertility problems and analyzed by lymphocyte-based flow cytometry. Afterward, the levels of NK cells and IFN-γ were determined. All data were analyzed using one-way analysis of variance and nonparametric Kruskal-Wallis tests. RESULTS The level of IFN-γ in the RPL group was significantly higher than that in parous women and the RIF group (P<0.05), whereas its level in the RIF group was not significantly different from the control group (P>0.05). A significant correlation was found between the levels of IFN-γ and NK cells in the RPL group (r=0.481; P=0.02). However, no significant correlation was found between the levels of IFN-γ and the active NK cells in the RPL group (P=0.08). Moreover, no significant correlation was found between the levels of NK cells (whether activated or not) and IFN-γ in the RIF patients (P>0.05). CONCLUSION Immune dysfunction may not be involved in implantation failure during IVF but may be involved in recurrent miscarriage, probably by increasing IFN-γ levels.
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Affiliation(s)
- Mahvash Zargar
- Department of Obstetrics and Gynecology, Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mehri Ghafourian
- Department of Immunology, Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Farnaz Behrahi
- Department of Obstetrics and Gynecology, Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Roshan Nikbakht
- Department of Obstetrics and Gynecology, Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Abdolah Mousavi Salehi
- Department of Immunology, Fertility, Infertility and Perinatology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Fasoulakis Z, Koutras A, Antsaklis P, Theodora M, Valsamaki A, Daskalakis G, Kontomanolis EN. Intrauterine Growth Restriction Due to Gestational Diabetes: From Pathophysiology to Diagnosis and Management. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1139. [PMID: 37374343 DOI: 10.3390/medicina59061139] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/16/2023] [Accepted: 06/07/2023] [Indexed: 06/29/2023]
Abstract
Intrauterine growth restriction (IUGR) represents a condition where the fetal weight is less than the 10th percentile for gestational age, or the estimated fetal weight is lower than expected based on gestational age. IUGR can be caused by various factors such as maternal, placental or fetal factors and can lead to various complications for both the fetus and the mother, including fetal distress, stillbirth, preterm delivery, and maternal hypertension. Women with gestational diabetes are at an increased risk of developing IUGR. This article reviews the different aspects of gestational diabetes in addition to IUGR, the diagnostic methods available for IUGR detection, including ultrasound and Doppler studies, discusses the management strategies for women with IUGR and gestational diabetes and analyzes the importance of early detection and timely intervention to improve pregnancy outcomes.
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Affiliation(s)
- Zacharias Fasoulakis
- Department of Obstetrics and Gynecology, General Hospital of Athens 'Alexandra', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Antonios Koutras
- Department of Obstetrics and Gynecology, General Hospital of Athens 'Alexandra', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Panos Antsaklis
- Department of Obstetrics and Gynecology, General Hospital of Athens 'Alexandra', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Marianna Theodora
- Department of Obstetrics and Gynecology, General Hospital of Athens 'Alexandra', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Asimina Valsamaki
- Department of Internal Medicine, General Hospital of Larisa, Tsakalof 1, 41221 Larisa, Greece
| | - George Daskalakis
- Department of Obstetrics and Gynecology, General Hospital of Athens 'Alexandra', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Emmanuel N Kontomanolis
- Department of Obstetrics and Gynecology, Democritus University of Thrace, 6th km Alexandroupolis-Makris, 68100 Alexandroupolis, Greece
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Pinto Y, Frishman S, Turjeman S, Eshel A, Nuriel-Ohayon M, Shrossel O, Ziv O, Walters W, Parsonnet J, Ley C, Johnson EL, Kumar K, Schweitzer R, Khatib S, Magzal F, Muller E, Tamir S, Tenenbaum-Gavish K, Rautava S, Salminen S, Isolauri E, Yariv O, Peled Y, Poran E, Pardo J, Chen R, Hod M, Borenstein E, Ley RE, Schwartz B, Louzoun Y, Hadar E, Koren O. Gestational diabetes is driven by microbiota-induced inflammation months before diagnosis. Gut 2023; 72:918-928. [PMID: 36627187 PMCID: PMC10086485 DOI: 10.1136/gutjnl-2022-328406] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 12/26/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is a condition in which women without diabetes are diagnosed with glucose intolerance during pregnancy, typically in the second or third trimester. Early diagnosis, along with a better understanding of its pathophysiology during the first trimester of pregnancy, may be effective in reducing incidence and associated short-term and long-term morbidities. DESIGN We comprehensively profiled the gut microbiome, metabolome, inflammatory cytokines, nutrition and clinical records of 394 women during the first trimester of pregnancy, before GDM diagnosis. We then built a model that can predict GDM onset weeks before it is typically diagnosed. Further, we demonstrated the role of the microbiome in disease using faecal microbiota transplant (FMT) of first trimester samples from pregnant women across three unique cohorts. RESULTS We found elevated levels of proinflammatory cytokines in women who later developed GDM, decreased faecal short-chain fatty acids and altered microbiome. We next confirmed that differences in GDM-associated microbial composition during the first trimester drove inflammation and insulin resistance more than 10 weeks prior to GDM diagnosis using FMT experiments. Following these observations, we used a machine learning approach to predict GDM based on first trimester clinical, microbial and inflammatory markers with high accuracy. CONCLUSION GDM onset can be identified in the first trimester of pregnancy, earlier than currently accepted. Furthermore, the gut microbiome appears to play a role in inflammation-induced GDM pathogenesis, with interleukin-6 as a potential contributor to pathogenesis. Potential GDM markers, including microbiota, can serve as targets for early diagnostics and therapeutic intervention leading to prevention.
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Affiliation(s)
- Yishay Pinto
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Sigal Frishman
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Institute of Biochemistry, School of Nutritional Sciences Food Science and Nutrition, The School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Sondra Turjeman
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - Adi Eshel
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | | | - Oshrit Shrossel
- Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel
| | - Oren Ziv
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
| | - William Walters
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tubingen, Germany
| | - Julie Parsonnet
- Department of Medicine, Stanford University, Stanford, California, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Catherine Ley
- Department of Medicine, Stanford University, Stanford, California, USA
| | | | - Krithika Kumar
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, USA
| | - Ron Schweitzer
- Department of Natural Compounds and Analytical Chemistry, Migal-Galilee Research Institute, Kiryat Shmona, Israel
- Analytical Chemistry Laboratory, Tel-Hai College, Upper Galilee, Israel
| | - Soliman Khatib
- Department of Natural Compounds and Analytical Chemistry, Migal-Galilee Research Institute, Kiryat Shmona, Israel
- Analytical Chemistry Laboratory, Tel-Hai College, Upper Galilee, Israel
| | - Faiga Magzal
- Laboratory of Human Health and Nutrition Sciences, Migal-Galilee Technology Center, Kiryat Shmona, Israel
- Nutritional Science Department, Tel Hai College, Upper Galilee, Israel
| | - Efrat Muller
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Snait Tamir
- Laboratory of Human Health and Nutrition Sciences, Migal-Galilee Technology Center, Kiryat Shmona, Israel
- Nutritional Science Department, Tel Hai College, Upper Galilee, Israel
| | - Kinneret Tenenbaum-Gavish
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Samuli Rautava
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland
- University of Helsinki & Helsinki University Hospital, New Children's Hospital, Pediatric Research Center, Helsinki, Finland
| | - Seppo Salminen
- Functional Foods Forum, University of Turku, Turku, Finland
| | - Erika Isolauri
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland
| | - Or Yariv
- Clalit Health Services, Tel Aviv, Israel
| | - Yoav Peled
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Clalit Health Services, Tel Aviv, Israel
| | - Eran Poran
- Clalit Health Services, Tel Aviv, Israel
| | - Joseph Pardo
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Clalit Health Services, Tel Aviv, Israel
| | - Rony Chen
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Moshe Hod
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Elhanan Borenstein
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
- Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Santa Fe Institute, Santa Fe, New Mexico, USA
| | - Ruth E Ley
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Tubingen, Germany
| | - Betty Schwartz
- Institute of Biochemistry, School of Nutritional Sciences Food Science and Nutrition, The School of Nutritional Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Yoram Louzoun
- Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel
| | - Eran Hadar
- Helen Schneider Hospital for Women, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Omry Koren
- Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
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Torres Y, Celis C, Acurio J, Escudero C. Language Impairment in Children of Mothers with Gestational Diabetes, Preeclampsia, and Preterm Delivery: Current Hypothesis and Potential Underlying Mechanisms : Language Impartment and Pregnancy Complications. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1428:245-267. [PMID: 37466777 DOI: 10.1007/978-3-031-32554-0_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
Many conditions may impair or delay language development, including socioeconomic status, parent's education, or intrauterine environment. Accordingly, increasing evidence has described that pregnancy complications, including gestational diabetes mellitus (GDM), preeclampsia, and preterm delivery, are associated with the offspring's impaired neurodevelopment. Since language is one of the high brain functions, alterations in this function are another sign of neurodevelopment impairment. How these maternal conditions may generate language impairment has yet to be entirely understood. However, since language development requires adequate structural formation and function/connectivity of the brain, these processes must be affected by alterations in maternal conditions. However, the underlying mechanisms of these structural alterations are largely unknown. This manuscript critically analyzes the literature focused on the risk of developing language impairment in children of mothers with GDM, preeclampsia, and preterm delivery. Furthermore, we highlight potential underlying molecular mechanisms associated with these alterations, such as neuroinflammatory and metabolic and cerebrovascular alterations.
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Affiliation(s)
- Yesenia Torres
- Vascular Physiology Laboratory, Department of Basic Science, Faculty of Sciences, Universidad of Bio Bio, Chillán, Chile
- Brainlab-Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Catalonia, Spain
| | - Cristian Celis
- Vascular Physiology Laboratory, Department of Basic Science, Faculty of Sciences, Universidad of Bio Bio, Chillán, Chile
- Centro terapéutico , ABCfonoaudiologia, Santiago, Chile
| | - Jesenia Acurio
- Vascular Physiology Laboratory, Department of Basic Science, Faculty of Sciences, Universidad of Bio Bio, Chillán, Chile
- Group of Research and Innovation in Vascular Health (GRIVAS Health), Chillán, Chile
| | - Carlos Escudero
- Vascular Physiology Laboratory, Department of Basic Science, Faculty of Sciences, Universidad of Bio Bio, Chillán, Chile.
- Group of Research and Innovation in Vascular Health (GRIVAS Health), Chillán, Chile.
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Zieleniak A, Zurawska-Klis M, Cypryk K, Wozniak L, Wojcik M. Transcriptomic Dysregulation of Inflammation-Related Genes in Leukocytes of Patients with Gestational Diabetes Mellitus (GDM) during and after Pregnancy: Identifying Potential Biomarkers Relevant to Glycemic Abnormality. Int J Mol Sci 2022; 23:ijms232314677. [PMID: 36499008 PMCID: PMC9737950 DOI: 10.3390/ijms232314677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/14/2022] [Accepted: 11/18/2022] [Indexed: 11/26/2022] Open
Abstract
Although the immune system has been implicated in the pathophysiology of gestational diabetes mellitus (GDM) and postpartum abnormal glucose tolerance (AGT), little is known about the transcriptional response of inflammation-related genes linked to metabolic phenotypes of GDM women during and after pregnancy, which may be potential diagnostic classifiers for GDM and biomarkers for predicting AGT. To address these questions, gene expression of IL6, IL8, IL10, IL13, IL18, TNFA, and the nuclear factor κB (NFκB)/RELA transcription factor were quantified in leukocytes of 28 diabetic women at GDM diagnosis (GDM group) and 1-year postpartum (pGDM group: 10 women with AGT and 18 normoglycemic women), using a nested RT-PCR method. Control pregnancies with normal glucose tolerance (NGT group; n = 31) were closely matched for maternal age, gestational age, pre-pregnancy BMI, pregnancy weight, and gestational weight gain. Compared with the NGT group, IL8 was downregulated in the GDM group, and IL13 and RELA were upregulated in the pGDM group, whereas IL6, IL10, and IL18 were upregulated in the GDM and pGDM groups. The TNFA level did not change from pregnancy to postpartum. Associations of some cytokines with glycemic measures were detected in pregnancy (IL6 and RELA) and postpartum (IL10) (p < 0.05). Receiver operating characteristic (ROC) curves showed that IL6, IL8, and IL18, if employed alone, can discriminate GDM patients from NGT individuals at GDM diagnosis, with the area under the ROC curves (AUCs) of 0.844, (95% CI 0.736−0.953), 0.771 (95% CI 0.651−0.890), and 0.714 (95% CI 0.582−0.846), respectively. By the logistic regression method, we also identified a three-gene panel (IL8, IL13, and TNFA) for postpartum AGT prediction. This study demonstrates a different transcriptional response of the studied genes in clinically well-characterized women with GDM at GDM diagnosis and 1-year postpartum, and provides novel transcriptomic biomarkers for future efforts aimed at diagnosing GDM and identifying the high risk of postpartum AGT groups.
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Affiliation(s)
- Andrzej Zieleniak
- Department of Structural Biology, Faculty of Biomedical Sciences, Medical University of Lodz, 90-752 Lodz, Poland
| | - Monika Zurawska-Klis
- Department of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland
| | - Katarzyna Cypryk
- Department of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland
| | - Lucyna Wozniak
- Department of Structural Biology, Faculty of Biomedical Sciences, Medical University of Lodz, 90-752 Lodz, Poland
| | - Marzena Wojcik
- Department of Structural Biology, Faculty of Biomedical Sciences, Medical University of Lodz, 90-752 Lodz, Poland
- Correspondence: ; Tel.: +48-426-393-238
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Vilotić A, Nacka-Aleksić M, Pirković A, Bojić-Trbojević Ž, Dekanski D, Jovanović Krivokuća M. IL-6 and IL-8: An Overview of Their Roles in Healthy and Pathological Pregnancies. Int J Mol Sci 2022; 23:ijms232314574. [PMID: 36498901 PMCID: PMC9738067 DOI: 10.3390/ijms232314574] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 11/24/2022] Open
Abstract
Interleukin-6 (IL-6) is an acknowledged inflammatory cytokine with a pleiotropic action, mediating innate and adaptive immunity and multiple physiological processes, including protective and regenerative ones. IL-8 is a pro-inflammatory CXC chemokine with a primary function in attracting and activating neutrophils, but also implicated in a variety of other cellular processes. These two ILs are abundantly expressed at the feto-maternal interface over the course of a pregnancy and have been shown to participate in numerous pregnancy-related events. In this review, we summarize the literature data regarding their role in healthy and pathological pregnancies. The general information related to IL-6 and IL-8 functions is followed by an overview of their overall expression in cycling endometrium and at the feto-maternal interface. Further, we provide an overview of their involvement in pregnancy establishment and parturition. Finally, the implication of IL-6 and IL-8 in pregnancy-associated pathological conditions, such as pregnancy loss, preeclampsia, gestational diabetes mellitus and infection/inflammation is discussed.
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11
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Aeen FB, Pakzad R, Tayebi Z, Kashkooli RI, Abdi F. Clinical outcomes of off-pump coronary artery bypass graft in patients with diabetes and non-diabetics: A systematic review and meta-analysis. Diabetes Metab Syndr 2022; 16:102643. [PMID: 36279703 DOI: 10.1016/j.dsx.2022.102643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 08/18/2022] [Accepted: 10/11/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIM Diabetes mellitus is a prevalent risk factor for developing coronary artery disease which worsens the clinical outcomes of patients undergoing coronary artery bypass grafting (CABG). This study aimed to determine the clinical outcomes of patients with diabetes and non-diabetic patients who underwent off-pump CABG surgery. METHOD Medline, Scopus, Proquest, Embase, Web of Science, and Google scholar were searched until September 10, 2021. The effect sizes including unstandardized mean difference and odds ratio with 95% confidence interval were calculated using "Metan" package. The Cochran's Q-test and I2 statistic were used to assess heterogeneity, a random-effects model was applied to estimate the pooled effect sizes, and meta-regression was used to investigate the factors affecting heterogeneity between studies. RESULTS 10 studies with 6200 sample sizes were included in the study. In groups with diabetes, Summary odds ratio (SOR) and 95% confidence interval of infection was 2.18 more than non-diabetic groups. Also, odds renal complication was 1.74 more than non-diabetic groups, and the odds cardiovascular complication in groups with diabetes was 1.30 more than non-diabetics. There were no differences in mortality, neurologic, respiratory and surgical complications between groups with diabetes and non-diabetics. Based on meta-regression results, age (Coefficient: 0.942; p = 0.009) had a significant direct relationship and sample size (Coefficient: 0.001; p = 0.009) had an indirect significant relationship with heterogeneity of neurologic outcomes. There was no significant publication bias in our results. CONCLUSION Our study revealed that off-pump CABG led to some significant outcomes in patients with diabetes compared to non-diabetics. Renal and infection complications were higher in patients with diabetes but no significant differences were seen in most of other postoperative outcomes between the two groups.
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Affiliation(s)
- Fatemeh Behesht Aeen
- Student Research Committee, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Reza Pakzad
- Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
| | - Zahra Tayebi
- Faculty of Nursing and Midwifery, Alborz University of Medical Sciences, Karaj, Iran
| | - Razie Iloon Kashkooli
- Student Research Committee, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Abdi
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
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Rahnemaei FA, Abdi F, Kazemian E, Shaterian N, Shaterian N, Behesht Aeen F. Association between body mass index in the first half of pregnancy and gestational diabetes: A systematic review. SAGE Open Med 2022; 10:20503121221109911. [PMID: 35898952 PMCID: PMC9310335 DOI: 10.1177/20503121221109911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/07/2022] [Indexed: 11/17/2022] Open
Abstract
Gestational diabetes mellitus is a more common complication in pregnancy and rising worldwide and screening for treating gestational diabetes mellitus is an opportunity for preventing its complications. Abnormal body mass index is the cause of many complications in pregnancy that is one of the major and modifiable risk factors in pregnancy too. This systematic review aimed to define the association between body mass index in the first half of pregnancy (before 20 weeks of gestation) and gestational diabetes mellitus. Web of Science, PubMed/Medline, Embase, Scopus, ProQuest, Cochrane library, and Google Scholar databases were systematically explored for articles published until April 31, 2022. Participation, exposure, comparators, outcomes, study design criteria include pregnant women (P), body mass index (E), healthy pregnant women (C), gestational diabetes mellitus (O), and study design (cohort, case–control, and cross-sectional). Newcastle–Ottawa scale checklists were used to report the quality of the studies. Eighteen quality studies were analyzed. A total of 41,017 pregnant women were in the gestational diabetes mellitus group and 285,351 pregnant women in the normal glucose tolerance group. Studies have reported an association between increased body mass index and gestational diabetes mellitus. Women who had a higher body mass index in the first half of pregnancy were at higher risk for gestational diabetes mellitus. In the first half of pregnancy, body mass index can be used as a reliable and available risk factor to assess gestational diabetes mellitus, especially in some situations where the pre-pregnancy body mass index is not available.
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Affiliation(s)
- Fatemeh Alsadat Rahnemaei
- Reproductive Health Research Center, Department of Obstetrics & Gynecology, Al-Zahra Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Fatemeh Abdi
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Elham Kazemian
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Negar Shaterian
- Student Research Committee, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Negin Shaterian
- Student Research Committee, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Behesht Aeen
- Student Research Committee, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
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13
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Rahnemaei FA, Pakzad R, Amirian A, Pakzad I, Abdi F. Effect of gestational diabetes mellitus on lipid profile: A systematic review and meta-analysis. Open Med (Wars) 2022; 17:70-86. [PMID: 34993347 PMCID: PMC8678474 DOI: 10.1515/med-2021-0408] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 01/10/2023] Open
Abstract
Gestational diabetes mellitus (GDM) can have adverse effects on pregnancy. GDM is associated with changes in the lipid profile of pregnant women. Finding out the early ways to diagnose GDM can prevent the adverse outcomes. This meta-analysis study aimed to determine the effect of GDM on lipid profile. PubMed, ProQuest, Web of Science, Scopus, Science Direct, Google Scholar, and ClinicalTrial were systematically searched for published articles relating to GDM until 2021 according to PRISMA guidelines. Newcastle Ottawa scale was used to assess the quality of the studies. Thirty-three studies with a sample size of 23,792 met the criteria for entering the meta-analysis. Pooled standardized mean difference (SMD) for total cholesterol (TC) and triglyceride (TG) was 0.23 mg/dL (95% CI: 0.11–0.34) and 1.14 mg/dL (95% CI: 0.91–1.38), respectively. The mean of TC and TG in people with GDM was higher than that in normal pregnant women. A similar pattern was observed for the very low-density lipoprotein (VLDL) and TG/high-density lipoprotein (HDL) ratio, with pooled SMD of 0.99 mg (95% CI: 0.71–1.27) and 0.65 mg (95% CI: 0.36–0.94), respectively. Pooled SMD for HDL was −0.35 mg/dL (95% CI: −0.54 to −0.16), women with GDM had a mean HDL lower than normal pregnant women. Although pooled SMD was higher for low-density lipoprotein (LDL) in the GDM group, this difference was not significant (0.14 [95% CI: −0.04 to 0.32]). Of all the lipid profiles, the largest difference between the GDM and control groups was observed in TG (SMD: 1.14). Elevated serum TG had the strongest effect on GDM. Higher levels of TC, LDL, VLDL, and TG/HDL ratio, and lower level of HDL were exhibited in GDM group. So, these markers can be considered as a reliable marker in the diagnosis of GDM.
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Affiliation(s)
- Fatemeh Alsadat Rahnemaei
- Reproductive Health Research Center, Department of Obstetrics & Gynecology, Al-zahra Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Reza Pakzad
- Department of Epidemiology, Faculty of Health, Ilam University of Medical Sciences, Ilam, Iran
| | - Azam Amirian
- Department of Midwifery, School of Nursing and Midwifery, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Iraj Pakzad
- School of Allied Medical Sciences, Ilam University of Medical Sciences, Ilam, Iran
| | - Fatemeh Abdi
- Cardiovascular Research Center, Alborz University of Medical Sciences, Karaj, Iran.,Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
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14
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Huang X, Zha B, Zhang M, Li Y, Wu Y, Zhang R, Sheng L, Xu J, Yu Z, Gao C, Chen Z, Ding H, Ma L, Zhang Y, Zang S, Zhang TN, Liu J. Decreased Monocyte Count Is Associated With Gestational Diabetes Mellitus Development, Macrosomia, and Inflammation. J Clin Endocrinol Metab 2022; 107:192-204. [PMID: 34478541 DOI: 10.1210/clinem/dgab657] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Indexed: 12/24/2022]
Abstract
CONTEXT The immune system plays a central role in the pathophysiology of gestational diabetes mellitus (GDM). Monocytes, the main innate immune cells, are especially important in the maintenance of a normal pregnancy. OBJECTIVE Here, we investigated the potential effect of monocytes in GDM. METHODS Monocyte count was monitored throughout pregnancy in 214 women with GDM and 926 women without in a case-control and cohort study. Circulating levels of inflammatory cytokines, placenta-derived macrophages, and their products were measured. RESULTS Throughout pregnancy, monocyte count was significantly decreased in women with GDM, and was closely associated with glucose level, insulin resistance, and newborn weight. First-trimester monocyte count outperformed that of the second and third trimester as a risk factor and diagnostic predictor of GDM and macrosomia both in the case-control and cohort study. In addition, our cohort study showed that as first-trimester monocyte count decreased, GDM and macrosomia incidence, glucose level, and newborn weight increased in a stepwise manner. Risk of GDM started to decrease rapidly when first-trimester monocyte count exceeded 0.48 × 109/L. Notably, CD206 and interleukin 10 (IL-10) were significantly lower, whereas CD80, CD86, tumor necrosis factor α (TNF-α), and interleukin 6 (IL-6) were higher both in GDM placental tissue and peripheral blood. First-trimester monocyte count was positively related to IL-10 and CD206, but negatively related to CD80, CD86, TNF-α, and IL-6. CONCLUSION Decreased monocyte count throughout pregnancy was closely associated with the development of GDM, macrosomia, and the chronic inflammatory state of GDM. First-trimester monocyte count has great potential as an early diagnostic marker of GDM.
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Affiliation(s)
- Xinmei Huang
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Bingbing Zha
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Manna Zhang
- Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yue Li
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Yueyue Wu
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Rui Zhang
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Li Sheng
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Jiong Xu
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Zhiyan Yu
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Cuijun Gao
- Department of Obstetrics, Wujing Hospital, Shanghai 200241, China
| | - Zaoping Chen
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Heyuan Ding
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Ling Ma
- Department of Obstetrics, Wujing Hospital, Shanghai 200241, China
| | - Yanquan Zhang
- Department of Obstetrics, Wujing Hospital, Shanghai 200241, China
| | - Shufei Zang
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
| | - Tie-Ning Zhang
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Jun Liu
- Department of Endocrinology, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China
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15
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Vasilakos LK, Steinbrekera B, Santillan DA, Santillan MK, Brandt DS, Dagle D, Roghair RD. Umbilical Cord Blood Leptin and IL-6 in the Presence of Maternal Diabetes or Chorioamnionitis. Front Endocrinol (Lausanne) 2022; 13:836541. [PMID: 35197933 PMCID: PMC8859102 DOI: 10.3389/fendo.2022.836541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/17/2022] [Indexed: 12/05/2022] Open
Abstract
Diabetes during pregnancy is associated with elevated maternal insulin, leptin and IL-6. Within the placenta, IL-6 can further stimulate leptin production. Despite structural similarities and shared roles in inflammation, leptin and IL-6 have contrasting effects on neurodevelopment, and the relative importance of maternal diabetes or chorioamnionitis on fetal hormone exposure has not been defined. We hypothesized that there would be a positive correlation between IL-6 and leptin with progressively increased levels in pregnancies complicated by maternal diabetes and chorioamnionitis. To test this hypothesis, cord blood samples were obtained from 104 term infants, including 47 exposed to maternal diabetes. Leptin, insulin, and IL-6 were quantified by multiplex assay. Factors independently associated with hormone levels were identified by univariate and multivariate linear regression. Unlike IL-6, leptin and insulin were significantly increased by maternal diabetes. Maternal BMI and birth weight were independent predictors of leptin and insulin with birth weight the strongest predictor of leptin. Clinically diagnosed chorioamnionitis and neonatal sepsis were associated with increased IL-6 but not leptin. Among appropriate for gestational age infants without sepsis, IL-6 and leptin were strongly correlated (R=0.6, P<0.001). In summary, maternal diabetes and birth weight are associated with leptin while chorioamnionitis is associated with IL-6. The constraint of the positive association between leptin and IL-6 to infants without sepsis suggests that the term infant and placenta may have a limited capacity to increase cord blood levels of the neuroprotective hormone leptin in the presence of increased cord blood levels of the potential neurotoxin IL-6.
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Affiliation(s)
- Lauren K. Vasilakos
- Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Baiba Steinbrekera
- Department of Pediatrics, University of South Dakota, Sioux Falls, SD, United States
| | - Donna A. Santillan
- Department of Obstetrics and Gynecology, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Mark K. Santillan
- Department of Obstetrics and Gynecology, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Debra S. Brandt
- Department of Obstetrics and Gynecology, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Daniel Dagle
- Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Robert D. Roghair
- Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
- *Correspondence: Robert D. Roghair,
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16
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Du R, Li L, Wang Y. N6-Methyladenosine-Related Gene Signature Associated With Monocyte Infiltration Is Clinically Significant in Gestational Diabetes Mellitus. Front Endocrinol (Lausanne) 2022; 13:853857. [PMID: 35370940 PMCID: PMC8971567 DOI: 10.3389/fendo.2022.853857] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/18/2022] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE The objective of this study was to reveal the potential crosstalk between immune infiltration and N6- methyladenosine (m6A) modification in the placentas of patients with gestational diabetes mellitus (GDM), and to construct a model for the diagnosis of GDM. METHODS We analyzed imbalanced immune infiltration and differentially expressed m6A-related genes (DMRGs) in the placentas of patients with GDM, based on the GSE70493 dataset. An immune-related DMRG signature, with significant classifying power and diagnostic value, was identified using a least absolute shrinkage and selection operator (LASSO) regression. Based on the selected DMRGs, we developed and validated a nomogram model using GSE70493 and GSE92772 as the training and validation sets, respectively. RESULTS Infiltration of monocytes was higher in GDM placentas than in control samples, while the infiltration of macrophages (M1 and M2) in GDM placentas was lower than in controls. A total of 14 DMRGs were strongly associated with monocyte infiltration, seven of which were significant in distinguishing patients with GDM from normal controls. These genes were CD81, CFH, FABP5, GBP1, GNG11, IL1RL1, and SLAMF6. The calibration curve, decision curve, clinical impact curve, and receiver operating characteristic curve showed that the nomogram recognized GDM with high accuracy in both the training and validation sets. CONCLUSIONS Our results provide clues that crosstalk between m6A modification and immune infiltration may have implications in terms of novel biomarkers and therapeutic targets for GDM.
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17
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Early Identification of the Maternal, Placental and Fetal Dialog in Gestational Diabetes and Its Prevention. REPRODUCTIVE MEDICINE 2021. [DOI: 10.3390/reprodmed3010001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Gestational diabetes mellitus (GDM) complicates between 5 and 12% of pregnancies, with associated maternal, fetal, and neonatal complications. The ideal screening and diagnostic criteria to diagnose and treat GDM have not been established and, currently, diagnostic use with an oral glucose tolerance test occurs late in pregnancy and produces poor reproducibility. Therefore, in recent years, significant research has been undertaken to identify a first-trimester biomarker that can predict GDM later in pregnancy, enable early intervention, and reduce GDM-related adverse pregnancy outcomes. Possible biomarkers include glycemic markers (fasting glucose and hemoglobin A1c), adipocyte-derived markers (adiponectin and leptin), pregnancy-related markers (pregnancy-associated plasma protein-A and the placental growth factor), inflammatory markers (C-reactive protein and tumor necrosis factor-α), insulin resistance markers (sex hormone-binding globulin), and others. This review summarizes current data on first-trimester biomarkers, the advantages, and the limitations. Large multi-ethnic clinical trials and cost-effectiveness analyses are needed not only to build effective prediction models but also to validate their clinical use.
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18
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Fan W, Kang W, Li T, Luo D, Huang L, Yang Y, Sun Y. Interleukin-33 and its receptor soluble suppression of tumorigenicity 2 in the diagnosis of gestational diabetes mellitus. Int J Clin Pract 2021; 75:e14944. [PMID: 34605145 DOI: 10.1111/ijcp.14944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 10/01/2021] [Indexed: 10/20/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is the most common pregnancy-related disease that increases the risk of metabolic disorders for the pregnancies and their offspring. GDM could be effectively prevented by early diagnosis and timely treatment. METHODS 120 patients with GDM and 108 gestational week-matched pregnancies with normal glucose tolerance (NGT) were enrolled in our study. Their blood samples were collected, and demographic characteristics were analysed. RESULTS Compared to NGT pregnancies, patients with GDM had increased the secretions of interleukin (IL)-33, soluble suppression of tumorigenicity 2 (sST2), IL-6 and tumour necrosis factor-α (TNF-α) in their plasma with elevated homeostatic model assessment (HOMA). Moreover, IL-33/sST2 was positively correlated with HOMA, IL-6 and TNF-α levels in the plasma of patients with GDM respectively. CONCLUSION IL-33/sST2 might serve as a novel potential biomarker for early diagnosis of GDM.
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Affiliation(s)
- Wei Fan
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
| | - Wei Kang
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
| | - Tao Li
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
| | - Dandan Luo
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
| | - Lei Huang
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
| | - Yimei Yang
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
| | - Yu Sun
- Department of Obstetrics, Kunming City Maternal and Child Health Hospital, Kunming, Yunnan, China
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Sagrillo-Fagundes L, Casagrande Paim T, Pretto L, Bertaco I, Zanatelli C, Vaillancourt C, Wink MR. The implications of the purinergic signaling throughout pregnancy. J Cell Physiol 2021; 237:507-522. [PMID: 34596240 DOI: 10.1002/jcp.30594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/26/2021] [Accepted: 09/14/2021] [Indexed: 12/14/2022]
Abstract
Purinergic signaling is a necessary mechanism to trigger or even amplify cell communication. Its ligands, notably adenosine triphosphate (ATP) and adenosine, modulate specific membrane-bound receptors in virtually all human cells. Regardless of the stage of the pregnancy, cellular communication between maternal, placental, and fetal cells is the paramount mechanism to sustain its optimal status. In this review, we describe the crucial role of purinergic signaling on the regulation of the maternal-fetal trophic exchanges, immune control, and endocrine exchanges throughout pregnancy. The nature of the modulation of both ATP and adenosine on the embryo-maternal interface, going through placental invasion until birth delivery depends on the general maternal-fetal health state and consequently on the selective activation of their specific receptors. In addition, an increasing number of studies have been demonstrating the pivotal role of ATP and adenosine in modulating deleterious effects of suboptimal conditions of pregnancy. Here, we discuss the role of purinergic signaling on the balance that coordinates the embryo-maternal exchanges and a promising therapeutic venue in the context of pregnancy disorders.
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Affiliation(s)
- Lucas Sagrillo-Fagundes
- Departamento de Ciências Básicas da Saúde e Laboratório de Biologia Celular, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Thaís Casagrande Paim
- Departamento de Ciências Básicas da Saúde e Laboratório de Biologia Celular, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Luiza Pretto
- Departamento de Ciências Básicas da Saúde e Laboratório de Biologia Celular, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Isadora Bertaco
- Departamento de Ciências Básicas da Saúde e Laboratório de Biologia Celular, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Carla Zanatelli
- Departamento de Ciências Básicas da Saúde e Laboratório de Biologia Celular, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | - Cathy Vaillancourt
- Centre Armand Frappier Santé Biotechnologie, INRS, Laval, Quebec, Canada
| | - Márcia R Wink
- Departamento de Ciências Básicas da Saúde e Laboratório de Biologia Celular, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
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20
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Bogdanet D, Reddin C, Murphy D, Doheny HC, Halperin JA, Dunne F, O’Shea PM. Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes-A Scoping Review. J Clin Med 2021; 10:jcm10071533. [PMID: 33917484 PMCID: PMC8038821 DOI: 10.3390/jcm10071533] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 02/06/2023] Open
Abstract
Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recommended as part of routine pregnancy care. The current screening method, the oral glucose tolerance test (OGTT), is a lengthy, cumbersome and inconvenient test with poor reproducibility. Newer biomarkers that do not necessitate a fasting sample are needed for the prompt diagnosis of GDM. The aim of this scoping review is to highlight and describe emerging protein biomarkers that fulfill these requirements for the diagnosis of GDM. Materials and Methods: This scoping review was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for scoping reviews using Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing & Allied Health Literature (CINAHL), PubMed, Embase and Web of Science with a double screening and extraction process. The search included all articles published in the literature to July 2020. Results: Of the 3519 original database citations identified, 385 were eligible for full-text review. Of these, 332 (86.2%) were included in the scoping review providing a total of 589 biomarkers studied in relation to GDM diagnosis. Given the high number of biomarkers identified, three post hoc criteria were introduced to reduce the items set for discussion: we chose only protein biomarkers with at least five citations in the articles identified by our search and published in the years 2017-2020. When applied, these criteria identified a total of 15 biomarkers, which went forward for review and discussion. Conclusions: This review details protein biomarkers that have been studied to find a suitable test for GDM diagnosis with the potential to replace the OGTT used in current GDM screening protocols. Ongoing research efforts will continue to identify more accurate and practical biomarkers to take GDM screening and diagnosis into the 21st century.
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Affiliation(s)
- Delia Bogdanet
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
- Correspondence: ; Tel.: +35-38-3102-7771
| | - Catriona Reddin
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Dearbhla Murphy
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Helen C. Doheny
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Jose A. Halperin
- Divisions of Haematology, Brigham & Women’s Hospital, Boston, MA 02115, USA;
| | - Fidelma Dunne
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Paula M. O’Shea
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
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Du R, Wu N, Li L. Aberrantly Expressed Non-Coding RNAs in the Placenta and Their Role in the Pathophysiology of Gestational Diabetes Mellitus. Diabetes Metab Syndr Obes 2021; 14:3719-3732. [PMID: 34456579 PMCID: PMC8387639 DOI: 10.2147/dmso.s325993] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/12/2021] [Indexed: 11/23/2022] Open
Abstract
Gestational diabetes mellitus (GDM), one of the most common complications during pregnancy, is associated with a high risk of short- and long-term adverse effects on the mother and offspring. Placenta-derived hormones and cytokines aggravate maternal insulin resistance (IR) during pregnancy, which in turn contribute to GDM. The hyperglycemia and IR in GDM result in aberrant placental structure and function adversely affecting fetal growth and well-being. Therefore, it is reasonable to assume that structural and functional alterations in the placenta contribute to the pathogenesis of GDM and GDM-related complications. Increasing evidence suggests that multiple non-coding RNAs (ncRNAs), including microRNAs, long non-coding RNAs, and circular RNAs, are dysregulated in placentas of patients with GDM and linked to abnormal placental structure, metabolism, and function. Manipulation of ncRNA expression led to some key pathophysiological features of GDM, such as trophoblast dysfunction, changes in intracellular glucose metabolism, and inflammation. Moreover, placenta-specific ncRNAs may be potential diagnostic biomarkers and even therapeutic targets for GDM. This review summarizes data published on the involvement of aberrantly expressed placental ncRNAs in GDM and provides information on their role in the pathogenesis of GDM and GDM-associated complications.
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Affiliation(s)
- Runyu Du
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China
| | - Na Wu
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China
| | - Ling Li
- Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, People’s Republic of China
- Correspondence: Ling Li Department of Endocrinology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, People’s Republic of ChinaTel +86 18940251181Fax +86 24-25944460 Email
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