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Sokou R, Moschari E, Palioura AE, Palioura AP, Mpakosi A, Adamakidou T, Vlachou E, Theodoraki M, Iacovidou N, Tsartsalis AN. The Impact of Gestational Diabetes Mellitus (GDM) on the Development and Composition of the Neonatal Gut Microbiota: A Systematic Review. Microorganisms 2024; 12:1564. [PMID: 39203408 PMCID: PMC11356352 DOI: 10.3390/microorganisms12081564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 09/03/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is an important health issue, as it is connected with adverse effects to the mother as well as the fetus. A factor of essence for the pathology of this disorder is the gut microbiota, which seems to have an impact on the development and course of GDM. The role of the gut microbiota on maternal reproductive health and all the changes that happen during pregnancy as well as during the neonatal period is of high interest. The correct establishment and maturation of the gut microbiota is of high importance for the development of basic biological systems. The aim of this study is to provide a systematic review of the literature on the effect of GDM on the gut microbiota of neonates, as well as possible links to morbidity and mortality of neonates born to mothers with GDM. Systematic research took place in databases including PubMed and Scopus until June 2024. Data that involved demographics, methodology, and changes to the microbiota were derived and divided based on patients with exposure to or with GDM. The research conducted on online databases revealed 316 studies, of which only 16 met all the criteria and were included in this review. Research from the studies showed great heterogeneity and varying findings at the level of changes in α and β diversity and enrichment or depletion in phylum, gene, species, and operational taxonomic units in the neonatal gut microbiota of infants born to mothers with GDM. The ways in which the microbiota of neonates and infants are altered due to GDM remain largely unclear and require further investigation. Future studies are needed to explore and clarify these mechanisms.
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Affiliation(s)
- Rozeta Sokou
- Neonatal Intensive Care Unit, General Hospital of Nikea “Agios Panteleimon”, 18454 Piraeus, Greece; (E.M.); (A.E.P.); (A.-P.P.); (M.T.)
- Neonatal Department, National and Kapodistrian University of Athens, Aretaieio Hospital, 11528 Athens, Greece;
| | - Eirini Moschari
- Neonatal Intensive Care Unit, General Hospital of Nikea “Agios Panteleimon”, 18454 Piraeus, Greece; (E.M.); (A.E.P.); (A.-P.P.); (M.T.)
| | - Alexia Eleftheria Palioura
- Neonatal Intensive Care Unit, General Hospital of Nikea “Agios Panteleimon”, 18454 Piraeus, Greece; (E.M.); (A.E.P.); (A.-P.P.); (M.T.)
| | - Aikaterini-Pothiti Palioura
- Neonatal Intensive Care Unit, General Hospital of Nikea “Agios Panteleimon”, 18454 Piraeus, Greece; (E.M.); (A.E.P.); (A.-P.P.); (M.T.)
| | - Alexandra Mpakosi
- Department of Microbiology, General Hospital of Nikea “Agios Panteleimon”, 18454 Piraeus, Greece;
| | - Theodoula Adamakidou
- Department of Nursing, School of Health Sciences, University of West Attica, Ag. Spydironos 28, 12243 Athens, Greece; (T.A.); (E.V.)
| | - Eugenia Vlachou
- Department of Nursing, School of Health Sciences, University of West Attica, Ag. Spydironos 28, 12243 Athens, Greece; (T.A.); (E.V.)
| | - Martha Theodoraki
- Neonatal Intensive Care Unit, General Hospital of Nikea “Agios Panteleimon”, 18454 Piraeus, Greece; (E.M.); (A.E.P.); (A.-P.P.); (M.T.)
| | - Nicoletta Iacovidou
- Neonatal Department, National and Kapodistrian University of Athens, Aretaieio Hospital, 11528 Athens, Greece;
| | - Athanasios N. Tsartsalis
- Department of Endocrinology Diabetes and Metabolism, Naval Hospital of Athens, Dinokratous 70, 11521 Athens, Greece;
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Shan X, Peng C, Zou H, Pan Y, Wu M, Xie Q, Lin Q. Association of Vegetables-Fruits Dietary Patterns with Gestational Diabetes Mellitus: Mediating Effects of Gut Microbiota. Nutrients 2024; 16:2300. [PMID: 39064743 PMCID: PMC11279562 DOI: 10.3390/nu16142300] [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: 06/14/2024] [Revised: 07/12/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
(1) Introduction: Previous studies have found that diet can change gut microbiota, thereby affecting metabolic health. However, research on gestational diabetes mellitus (GDM) is still limited. Our study aimed to explore the mediating role of gut microbiota in the relationship between dietary patterns and GDM. (2) Methods: In this case-control study, 107 women with GDM at 24-28 weeks of gestation and 78 healthy pregnant women were enrolled. A semi-quantitative food frequency questionnaire (FFQ) was used to assess dietary intake over the previous month. Mediation analysis was performed to explore the link between dietary patterns, gut microbiota, and GDM. (3) Results: Among the five dietary patterns extracted, the high group (factor scores ≥ -0.07) of the vegetables-fruits dietary pattern had a 67% lower risk of developing GDM compared to the low group (factor scores < -0.07) (OR: 0.33; 95% CI: 0.15-0.74). In addition, a significant alteration was observed in gut microbiota composition among GDM pregnant women. Mediation analysis showed that the Lachnospiraceae family, Blautia, and Ruminococcus genus partially mediated the effect of vegetables-fruits dietary pattern on GDM, explaining 45.81%, 44.33%, and 31.53% of the association, respectively. (4) Conclusions: Adherence to vegetables-fruits dietary patterns during pregnancy may reduce the risk of GDM by altering gut microbiota composition.
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Affiliation(s)
| | | | | | | | | | | | - Qian Lin
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha 410006, China; (X.S.); (C.P.); (H.Z.); (Y.P.); (M.W.); (Q.X.)
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Ma S, Wang Y, Ji X, Dong S, Wang S, Zhang S, Deng F, Chen J, Lin B, Khan BA, Liu W, Hou K. Relationship between gut microbiota and the pathogenesis of gestational diabetes mellitus: a systematic review. Front Cell Infect Microbiol 2024; 14:1364545. [PMID: 38868299 PMCID: PMC11168118 DOI: 10.3389/fcimb.2024.1364545] [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: 01/02/2024] [Accepted: 03/01/2024] [Indexed: 06/14/2024] Open
Abstract
Introduction Gestational diabetes mellitus (GDM) is a form of gestational diabetes mellitus characterized by insulin resistance and abnormal function of pancreatic beta cells. In recent years, genomic association studies have revealed risk and susceptibility genes associated with genetic susceptibility to GDM. However, genetic predisposition cannot explain the rising global incidence of GDM, which may be related to the increased influence of environmental factors, especially the gut microbiome. Studies have shown that gut microbiota is closely related to the occurrence and development of GDM. This paper reviews the relationship between gut microbiota and the pathological mechanism of GDM, in order to better understand the role of gut microbiota in GDM, and to provide a theoretical basis for clinical application of gut microbiota in the treatment of related diseases. Methods The current research results on the interaction between GDM and gut microbiota were collected and analyzed through literature review. Keywords such as "GDM", "gut microbiota" and "insulin resistance" were used for literature search, and the methodology, findings and potential impact on the pathophysiology of GDM were systematically evaluated. Results It was found that the composition and diversity of gut microbiota were significantly associated with the occurrence and development of GDM. Specifically, the abundance of certain gut bacteria is associated with an increased risk of GDM, while other changes in the microbiome may be associated with improved insulin sensitivity. In addition, alterations in the gut microbiota may affect blood glucose control through a variety of mechanisms, including the production of short-chain fatty acids, activation of inflammatory pathways, and metabolism of the B vitamin group. Discussion The results of this paper highlight the importance of gut microbiota in the pathogenesis of GDM. The regulation of the gut microbiota may provide new directions for the treatment of GDM, including improving insulin sensitivity and blood sugar control through the use of probiotics and prebiotics. However, more research is needed to confirm the generality and exact mechanisms of these findings and to explore potential clinical applications of the gut microbiota in the management of gestational diabetes. In addition, future studies should consider the interaction between environmental and genetic factors and how together they affect the risk of GDM.
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Affiliation(s)
- Sheng Ma
- Anhui Province Maternity & Child Health Hospital, Hefei, Anhui, China
| | - Yuping Wang
- School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Xiaoxia Ji
- Nursing Department, Shantou Central Hospital, Shantou, Guangdong, China
| | - Sunjuan Dong
- School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Shengnan Wang
- School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Shuo Zhang
- Shantou University Medical College, Shantou, Guangdong, China
| | - Feiying Deng
- Shantou University Medical College, Shantou, Guangdong, China
| | - Jingxian Chen
- Shantou University Medical College, Shantou, Guangdong, China
| | - Benwei Lin
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Barkat Ali Khan
- Drug Delivery and Cosmetic Lab (DDCL), Gomal Center of Pharmaceutical Sciences, Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan
| | - Weiting Liu
- School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Kaijian Hou
- School of Nursing, Anhui University of Chinese Medicine, Hefei, Anhui, China
- School of Public Health, Shantou University, Shantou, Guangdong, China
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Balleza-Alejandri LR, Peña-Durán E, Beltrán-Ramírez A, Reynoso-Roa AS, Sánchez-Abundis LD, García-Galindo JJ, Suárez-Rico DO. Decoding the Gut Microbiota-Gestational Diabetes Link: Insights from the Last Seven Years. Microorganisms 2024; 12:1070. [PMID: 38930451 PMCID: PMC11205738 DOI: 10.3390/microorganisms12061070] [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: 03/27/2024] [Revised: 05/04/2024] [Accepted: 05/23/2024] [Indexed: 06/28/2024] Open
Abstract
The human microbiome, a complex ecosystem of bacteria, viruses, and protozoans living in symbiosis with the host, plays a crucial role in human health, influencing everything from metabolism to immune function. Dysbiosis, or an imbalance in this ecosystem, has been linked to various health issues, including diabetes and gestational diabetes (GD). In diabetes, dysbiosis affects the function of adipose tissue, leading to the release of adipokines and cytokines, which increase inflammation and insulin resistance. During pregnancy, changes to the microbiome can exacerbate glucose intolerance, a common feature of GD. Over the past years, burgeoning insights into the gut microbiota have unveiled its pivotal role in human health. This article comprehensively reviews literature from the last seven years, highlighting the association between gut microbiota dysbiosis and GD, as well as the metabolism of antidiabetic drugs and the potential influences of diet and probiotics. The underlying pathophysiological mechanisms discussed include the impact of dysbiosis on systemic inflammation and the interplay with genetic and environmental factors. By focusing on recent studies, the importance of considering microbial health in the prevention and treatment of GD is emphasized, providing insights into future research directions and clinical applications to improve maternal-infant health outcomes.
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Affiliation(s)
- Luis Ricardo Balleza-Alejandri
- Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Mexico; (L.R.B.-A.); (A.S.R.-R.)
| | - Emiliano Peña-Durán
- Licenciatura en Médico Cirujano y Partero, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara 44340, Mexico;
| | - Alberto Beltrán-Ramírez
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Calle Sierra Mojada 950, Independencia Oriente, Guadalajara 44340, Mexico; (A.B.-R.); (J.J.G.-G.)
| | - Africa Samantha Reynoso-Roa
- Doctorado en Farmacología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara 44340, Mexico; (L.R.B.-A.); (A.S.R.-R.)
| | - Luis Daniel Sánchez-Abundis
- Hospital Civil de Guadalajara, Fray Antonio Alcalde, Instituto de Patología Infecciosa y Experimental, Guadalajara 44200, Mexico;
| | - Jesús Jonathan García-Galindo
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Calle Sierra Mojada 950, Independencia Oriente, Guadalajara 44340, Mexico; (A.B.-R.); (J.J.G.-G.)
| | - Daniel Osmar Suárez-Rico
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Calle Sierra Mojada 950, Independencia Oriente, Guadalajara 44340, Mexico; (A.B.-R.); (J.J.G.-G.)
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Xiao L, Zhou T, Zuo Z, Sun N, Zhao F. Spatiotemporal patterns of the pregnancy microbiome and links to reproductive disorders. Sci Bull (Beijing) 2024; 69:1275-1285. [PMID: 38388298 DOI: 10.1016/j.scib.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/04/2024] [Accepted: 01/27/2024] [Indexed: 02/24/2024]
Abstract
The microbiome of females undergoes extensive remodeling during pregnancy, which is likely to have an impact on the health of both mothers and offspring. Nevertheless, large-scale integrated investigations characterizing microbiome dynamics across key body habitats are lacking. Here, we performed an extensive meta-analysis that compiles and analyzes microbiome profiles from >10,000 samples across the gut, vagina, and oral cavity of pregnant women from diverse geographical regions. We have unveiled unexpected variations in the taxonomic, functional, and ecological characteristics of microbial communities throughout the course of pregnancy. The gut microbiota showed distinct trajectories between Western and non-Western populations. The vagina microbiota exhibited fluctuating transitions at the genus level across gestation, while the oral microbiota remained relatively stable. We also identified distinctive microbial signatures associated with prevalent pregnancy-related disorders, including opposite variations in the oral and gut microbiota of patients with gestational diabetes and disrupted microbial networks in preterm birth. This study establishes a comprehensive atlas of the pregnancy microbiome by integrating multidimensional datasets and offers foundational insights into the intricate interplay between microbes and host factors that underlie reproductive health.
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Affiliation(s)
- Liwen Xiao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Tian Zhou
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhenqiang Zuo
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China
| | - Ningxia Sun
- Department of Reproductive Medicine, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 100101, China; Department of Reproductive Medicine, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China; Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Wang S, Cui Z, Yang H. Interactions between host and gut microbiota in gestational diabetes mellitus and their impacts on offspring. BMC Microbiol 2024; 24:161. [PMID: 38730357 PMCID: PMC11083820 DOI: 10.1186/s12866-024-03255-y] [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: 11/18/2023] [Accepted: 03/08/2024] [Indexed: 05/12/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is characterized by insulin resistance and low-grade inflammation, and most studies have demonstrated gut dysbiosis in GDM pregnancies. Overall, they were manifested as a reduction in microbiome diversity and richness, depleted short chain fatty acid (SCFA)-producing genera and a dominant of Gram-negative pathogens releasing lipopolysaccharide (LPS). The SCFAs functioned as energy substance or signaling molecules to interact with host locally and beyond the gut. LPS contributed to pathophysiology of diseases through activating Toll-like receptor 4 (TLR4) and involved in inflammatory responses. The gut microbiome dysbiosis was not only closely related with GDM, it was also vital to fetal health through vertical transmission. In this review, we summarized gut microbiota signature in GDM pregnancies of each trimester, and presented a brief introduction of microbiome derived SCFAs. We then discussed mechanisms of microbiome-host interactions in the physiopathology of GDM and associated metabolic disorders. Finally, we compared offspring microbiota composition from GDM with that from normal pregnancies, and described the possible mechanism.
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Affiliation(s)
- Shuxian Wang
- Department of Obstetrics and Gynaecology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Maternal Fetal Medicine of Gestational Diabetes Mellitus, Beijing, China
| | - Zifeng Cui
- Department of Obstetrics and Gynaecology, Peking University First Hospital, Beijing, China
- Beijing Key Laboratory of Maternal Fetal Medicine of Gestational Diabetes Mellitus, Beijing, China
| | - Huixia Yang
- Department of Obstetrics and Gynaecology, Peking University First Hospital, Beijing, China.
- Beijing Key Laboratory of Maternal Fetal Medicine of Gestational Diabetes Mellitus, Beijing, China.
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Gupta A, Chan SY, Toh R, Low JM, Liu IMZ, Lim SL, Lee LY, Swarup S. Gestational diabetes-related gut microbiome dysbiosis is not influenced by different Asian ethnicities and dietary interventions: a pilot study. Sci Rep 2024; 14:9855. [PMID: 38684759 PMCID: PMC11058859 DOI: 10.1038/s41598-024-60386-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 04/22/2024] [Indexed: 05/02/2024] Open
Abstract
Gut microbiome dysbiosis contributes to the pathophysiology of both gestational diabetes mellitus (GDM) and its associated adverse outcomes in the woman and offspring. Even though GDM prevalence, complications, and outcomes vary among different ethnic groups, limited information is available about the influence of ethnicity on gut microbiome dysbiosis in pregnancies complicated by GDM. This pilot prospective cohort study examined the impact of ethnicity on gut dysbiosis in GDM among three Asian ethnic groups (Chinese, Malay, Indian) living in Singapore, and investigated the potential modulatory roles of diet and lifestyle modifications on gut microbiome post-GDM diagnosis. Women with GDM (n = 53) and without GDM (n = 16) were recruited. Fecal samples were collected at 24-28- and 36-40-weeks' gestation and analyzed by targeted 16S rRNA gene-based amplicon sequencing. Permutational multivariate analysis of variance (PERMANOVA) analysis was performed to evaluate differences between groups. Differentially abundant taxa were identified by DeSeq2 based analysis. Functional prediction was performed using the phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt2). Among women with GDM, gut microbiome from different ethnicities harbored common microbial features. However, among those without GDM, there was contrasting microbiome composition between ethnic groups. Microbial members such as Collinsella, Blautia, Ruminococcus, Ruminococcus gnavus, Ruminococcus torques, and Eubacterium hallii groups were differentially enriched (p < 0.05) in women with GDM compared to those without. Among women with GDM, no differences in alpha- and beta- diversity were observed when comparing 24-28 weeks' samples with 36-40 weeks' samples, a period covering intense dietary and lifestyle modification, suggesting an inability to modulate gut microbiota through classic GDM management. Women with GDM have a distinct gut microbiome profile which harbours common features across different Asian ethnic groups, consistent with the notion that specific microbes are involved in the pathogenesis of insulin resistance, pro-inflammatory conditions, and other metabolic dysregulation known to be present in GDM.
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Affiliation(s)
- Abhishek Gupta
- Singapore Centre For Environmental Life Sciences Engineering (SCELSE), National University of Singapore, Singapore, Singapore.
| | - Shiao Yng Chan
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Agency for Science, Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Rachel Toh
- Department of Neonatology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Jia Ming Low
- Department of Neonatology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore.
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Isabella Ming Zhen Liu
- Department of Neonatology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Su Lin Lim
- Department of Dietetics, National University Hospital, National University Health System, Singapore, Singapore
| | - Le Ye Lee
- Foundation Healthcare Holdings, Singapore, Singapore
| | - Sanjay Swarup
- Singapore Centre For Environmental Life Sciences Engineering (SCELSE), National University of Singapore, Singapore, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- NUS Environmental Research Institute, National University of Singapore, Singapore, Singapore
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Han W, Wang J, Yan X, Liu C, Huang J, Zhang L, Zhang Y, Zhao Y, Hou Y, Zheng W, Li G. Butyrate and iso-butyrate: a new perspective on nutrition prevention of gestational diabetes mellitus. Nutr Diabetes 2024; 14:24. [PMID: 38658555 PMCID: PMC11043397 DOI: 10.1038/s41387-024-00276-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 03/28/2024] [Accepted: 04/04/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Dietary imbalance, such as a lower proportion of complex carbohydrates and a higher protein diet, may contribute to gestational diabetes mellitus (GDM) risks through their metabolisms. However, there is a lack of knowledge regarding the association between butyrate, iso-butyrate, and GDM, which are metabolisms of the two primary nutrients above. This study aimed to clarify the association of butyrate and iso-butyrate with GDM. METHODS A nested case-control study was conducted based on the Beijing Birth Cohort Study (BBCS) from 2017 to 2018. Totally, 99 singleton women were involved (GDM: n = 49, control: n = 50). All participants provided blood samples twice (in their first and second trimesters). Gas chromatography-mass spectrometry (GC-MS) was used for butyrate and iso-butyrate detection. Unconditional logistic regression and receiver operating characteristic (ROC) curve analysis were used for statistical analysis. RESULTS The results showed that butyrate in the first trimester was negatively correlated with GDM (odds ratio (OR): 0.00, 95% confidential interval (CI): 0.00-0.21, P = 0.008), and iso-butyrate in the second trimester was positively related to GDM (OR: 627.68, 95% CI: 40.51-9724.56, P < 0.001). The ratio (butyrate/iso-butyrate) was negatively associated with GDM, both in the first trimester (OR: 0.00, 95%CI: 0.00-0.05, P < 0.001) and in the second trimester (OR: 0.52, 95% CI: 0.34-0.80, P = 0.003). The area under the curve (AUC) using the ratio in the first trimester combined with clinical risk factors achieved 0.89 (95% CI: 0.83-0.95). Iso-butyrate in the second trimester combined with clinical risk factors achieved an AUC of 0.97 (95% CI: 0.92-1.00). CONCLUSIONS High iso-butyrate and low butyrate levels may be associated with an increased risk of GDM. As they are produced through dietary nutrient formation by gut microbiota, further studies on the association of dietary intake and butyrate or iso-butyrate concentration in plasma may help find a novel approach to nutritional intervention for GDM.
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Affiliation(s)
- Weiling Han
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Jia Wang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xin Yan
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Cheng Liu
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Junhua Huang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Lirui Zhang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yujie Zhang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yiqing Zhao
- Hyproca Nutrition Co., Ltd, Changsha, Hunan, China
| | - Yanmei Hou
- Hyproca Nutrition Co., Ltd, Changsha, Hunan, China
| | - Wei Zheng
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
- Beijing Maternal and Child Health Care Hospital, Beijing, China.
| | - Guanghui Li
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
- Beijing Maternal and Child Health Care Hospital, Beijing, China.
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Shen W, Chen Q, Lin R, Hu Z, Luo M, Ren Y, Huang K, Wang L, Chen S, Wang L, Ruan Y, Feng L. Imbalance of gut microbiota in gestational diabetes. BMC Pregnancy Childbirth 2024; 24:226. [PMID: 38561737 PMCID: PMC10983739 DOI: 10.1186/s12884-024-06423-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 03/14/2024] [Indexed: 04/04/2024] Open
Abstract
AIM To investigate the differences in gut microbiota composition among nonpregnant women of reproductive age, healthy pregnant women, and gestational diabetes (GD) patients. METHODS A total of 45 outpatients were enrolled and divided into three groups: nonpregnant women of reproductive age (control group, n = 23), healthy pregnant women (normal group, n = 10), and GD patients (GD group, n = 12). Faecal samples were collected and sequenced using 16S rRNA gene sequencing to analyse the microbial composition. RESULTS (1) Pregnant patients exhibited an increase in the abundance of Streptococcus (Pnormal = 0.01286, PGD = 0.002965) and Blautia (Pnormal = 0.0003924, PGD = 0.000246) but a decrease in the abundance of Roseburia (Pnormal = 0.0361, PGD = 0.007075), Phascolarctobacterium (Pnormal = 0.0003906, PGD = 0.02499) and Lachnoclostridium (Pnormal = 0.0003906, PGD = 0.03866). (2) Compared with healthy pregnant women, GD patients had an excessive increase in Streptococcus abundance and decrease in Roseburia abundance. The increase in Blautia abundance and the decrease in Phascolarctobacterium and Lachnoclostridium abundance in GD patients were less than those in healthy pregnant women. (3) The abundance of Faecalibacterium prausnitzii decreased significantly in GD patients (PGD = 0.02985) but not in healthy pregnant patients (Pnormal = 0.1643). CONCLUSIONS Abnormal increases and decreases in the abundances of gut microbiota components, especially Faecalibacterium prausnitzii, were observed in GD patients. TRIAL REGISTRATION The cross-sectional research was conducted in accordance with the Declaration of Helsinki, and approved by Sir Run Run Shaw Hospital Clinical Trials and Biomedical Ethics Committee. The study has been registered in the Chinese Clinical Trial Registry (ChiCTR1900026164, 24/09/2019, http://www.chictr.org.cn/showproj.aspx?proj=43,455 ).
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Affiliation(s)
- Weiyi Shen
- Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang Province, China
| | - Qianyi Chen
- Department of Nutriology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Renbin Lin
- Department of Gastroenterology, Hangzhou Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medicine University, Hangzhou, 310005, Zhejiang Province, China
| | - Zhefang Hu
- Department of Nutriology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Man Luo
- Department of Nutriology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Yanwei Ren
- Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Keren Huang
- Department of Nutriology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Li Wang
- Department of Nutriology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Shujie Chen
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang Province, China
| | - Lan Wang
- Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
- Prevention and Treatment Research Center of Senescent Disease, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang Province, China
| | - Yu Ruan
- Department of Endocrinology and Metabolism, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China
| | - Lijun Feng
- Department of Nutriology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang Province, China.
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10
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Lu X, Shi Z, Jiang L, Zhang S. Maternal gut microbiota in the health of mothers and offspring: from the perspective of immunology. Front Immunol 2024; 15:1362784. [PMID: 38545107 PMCID: PMC10965710 DOI: 10.3389/fimmu.2024.1362784] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/28/2024] [Indexed: 04/17/2024] Open
Abstract
Due to the physiological alteration during pregnancy, maternal gut microbiota changes following the metabolic processes. Recent studies have revealed that maternal gut microbiota is closely associated with the immune microenvironment in utero during pregnancy and plays a vital role in specific pregnancy complications, including preeclampsia, gestational diabetes, preterm birth and recurrent miscarriages. Some other evidence has also shown that aberrant maternal gut microbiota increases the risk of various diseases in the offspring, such as allergic and neurodevelopmental disorders, through the immune alignment between mother and fetus and the possible intrauterine microbiota. Probiotics and the high-fiber diet are effective inventions to prevent mothers and fetuses from diseases. In this review, we summarize the role of maternal gut microbiota in the development of pregnancy complications and the health condition of future generations from the perspective of immunology, which may provide new therapeutic strategies for the health management of mothers and offspring.
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Affiliation(s)
- Xiaowen Lu
- Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Obstetrics and Gynecology, Key Laboratory of Reproductive Dysfunction, Management of Zhejiang Province, Hangzhou, China
| | - Zhan Shi
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China
| | - Lingling Jiang
- Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Obstetrics and Gynecology, Key Laboratory of Reproductive Dysfunction, Management of Zhejiang Province, Hangzhou, China
| | - Songying Zhang
- Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Obstetrics and Gynecology, Key Laboratory of Reproductive Dysfunction, Management of Zhejiang Province, Hangzhou, China
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11
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Wang J, Zheng W, Wang Y, Yuan X, Han W, Huang J, Zhang Y, Song W, Wang X, Liang S, Ma X, Li G. Cohort Profile: The Beijing Birth Cohort Study (BBCS). Int J Epidemiol 2024; 53:dyad155. [PMID: 37968232 DOI: 10.1093/ije/dyad155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 10/31/2023] [Indexed: 11/17/2023] Open
Affiliation(s)
- Jia Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Wei Zheng
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Xianxian Yuan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Weiling Han
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Junhua Huang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Ya Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Wei Song
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Xiaoxin Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Shengnan Liang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Guanghui Li
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing. Maternal and Child Health Care Hospital, Beijing, China
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12
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Cordero-Varela JA, Reyes-Corral M, Lao-Pérez M, Fernández-Santos B, Montenegro-Elvira F, Sempere L, Ybot-González P. Analysis of Gut Characteristics and Microbiota Changes with Maternal Supplementation in a Neural Tube Defect Mouse Model. Nutrients 2023; 15:4944. [PMID: 38068802 PMCID: PMC10708240 DOI: 10.3390/nu15234944] [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: 10/16/2023] [Revised: 11/03/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Adequate nutrient supply is crucial for the proper development of the embryo. Although nutrient supply is determined by maternal diet, the gut microbiota also influences nutrient availability. While currently there is no cure for neural tube defects (NTDs), their prevention is largely amenable to maternal folic acid and inositol supplementation. The gut microbiota also contributes to the production of these nutrients, which are absorbed by the host, but its role in this context remains largely unexplored. In this study, we performed a functional and morphological analysis of the intestinal tract of loop-tail mice (Vangl2 mutants), a mouse model of folate/inositol-resistant NTDs. In addition, we investigated the changes in gut microbiota using 16S rRNA gene sequencing regarding (1) the host genotype; (2) the sample source for metagenomics analysis; (3) the pregnancy status in the gestational window of neural tube closure; (4) folic acid and (5) D-chiro-inositol supplementation. We observed that Vangl2+/Lp mice showed no apparent changes in gastrointestinal transit time or fecal output, yet exhibited increased intestinal length and cecal weight and gut dysbiosis. Moreover, our results showed that the mice supplemented with folic acid and D-chiro-inositol had significant changes in their microbiota composition, which are changes that could have implications for nutrient absorption.
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Affiliation(s)
- Juan Antonio Cordero-Varela
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
| | - Marta Reyes-Corral
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
| | - Miguel Lao-Pérez
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
| | - Beatriz Fernández-Santos
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
| | - Fernando Montenegro-Elvira
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
| | - Lluis Sempere
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
| | - Patricia Ybot-González
- Institute of Biomedicine of Seville (IBiS)/Virgen del Rocío University Hospital/CSIC/University of Seville, 41013 Seville, Spain; (J.A.C.-V.); (M.L.-P.); (B.F.-S.); (F.M.-E.); (L.S.)
- Consejo Superior de Investigaciones Científicas (CSIC), Spain
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13
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Gao S, Wang J. Maternal and infant microbiome: next-generation indicators and targets for intergenerational health and nutrition care. Protein Cell 2023; 14:807-823. [PMID: 37184065 PMCID: PMC10636639 DOI: 10.1093/procel/pwad029] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 05/04/2023] [Indexed: 05/16/2023] Open
Abstract
Microbes are commonly sensitive to shifts in the physiological and pathological state of their hosts, including mothers and babies. From this perspective, the microbiome may be a good indicator for diseases during pregnancy and has the potential to be used for perinatal health monitoring. This is embodied in the application of microbiome from multi body sites for auxiliary diagnosis, early prediction, prolonged monitoring, and retrospective diagnosis of pregnancy and infant complications, as well as nutrition management and health products developments of mothers and babies. Here we summarized the progress in these areas and explained that the microbiome of different body sites is sensitive to different diseases and their microbial biomarkers may overlap between each other, thus we need to make a diagnosis prudently for those diseases. Based on the microbiome variances and additional anthropometric and physical data, individualized responses of mothers and neonates to meals and probiotics/prebiotics were predictable, which is of importance for precise nutrition and probiotics/prebiotics managements and developments. Although a great deal of encouraging performance was manifested in previous studies, the efficacy could be further improved by combining multi-aspect data such as multi-omics and time series analysis in the future. This review reconceptualizes maternal and infant health from a microbiome perspective, and the knowledge in it may inspire the development of new options for the prevention and treatment of adverse pregnancy outcomes and bring a leap forward in perinatal health care.
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Affiliation(s)
- Shengtao Gao
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Jinfeng Wang
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China
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14
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Lan Y, Pan S, Chen B, Zhou F, Yang F, Chao S, Hua Y, Liu H. The relationship between gut microbiota, short-chain fatty acids, and glucolipid metabolism in pregnant women with large for gestational age infants. J Appl Microbiol 2023; 134:lxad240. [PMID: 37883533 DOI: 10.1093/jambio/lxad240] [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: 03/07/2023] [Revised: 10/02/2023] [Accepted: 10/21/2023] [Indexed: 10/28/2023]
Abstract
AIM To elucidate the association between gut microbiota, short-chain fatty acids (SCFAs), and glucolipid metabolism in women with large for gestational age (LGA) infants. METHODS AND RESULTS A single-center, observational prospective cohort study was performed at a tertiary hospital in Wenzhou, China. Normal pregnant women were divided into LGA group and appropriate for gestational age (AGA) group according to the neonatal birth weight. Fecal samples were collected from each subject before delivery for the analysis of gut microbiota composition (GMC) and SCFAs. Blood samples were obtained at 24-28 weeks of gestation age to measure fasting blood glucose and fasting insulin levels, as well as just before delivery to assess serum triglycerides, total cholesterol, high-density lipoprotein (HDL), and low-density lipoprotein. The GMC exhibited differences at various taxonomic levels. Within the Firmicutes phylum, genus Lactobacillus, genus Clostridium, species Lactobacillus agil, and species Lactobacillus salivarius were enriched in the LGA group. Microbispora at genus level, Microbispora rosea at species level belonging to the Actinobacteria phylum, Neisseriales at order level, Bartonellaceae at family level, Paracoccus aminovorans, and Methylobacterium at genus level from the Proteobacteria phylum were more abundant in the LGA group. In contrast, within the Bacteroidetes phylum, Prevotella at genus level and Parabacteroides distasonis at species level were enriched in the AGA group. Although there were few differences observed in SCFA levels and most glucolipid metabolism indicators between the two groups, the serum HDL level was significantly lower in the LGA group compared to the AGA group. No significant relevance among GMC, SCFAs, and glucolipid metabolism indicators was found in the LGA group or in the AGA group. CONCLUSIONS Multiple different taxa, especially phylum Firmicutes, genus Prevotella, and genus Clostridium, might play an important role in excessive fetal growth, and LGA might be associated with the lower serum HDL level.
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Affiliation(s)
- Yehui Lan
- Department of Obstetrics and Gynecology and General Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Shuangjia Pan
- Department of Obstetrics and Gynecology and General Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Baoyi Chen
- Department of Obstetrics and Gynecology and General Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Feifei Zhou
- Department of Obstetrics and Gynecology, The Wenzhou Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou 325027, China
| | - Fan Yang
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi 563000,China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai 2000240, China
| | - Shan Chao
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai 2000240, China
| | - Ying Hua
- Department of Obstetrics and Gynecology and General Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Haibin Liu
- Department of Obstetrics and Gynecology and General Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China
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15
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Shah N, Kulkarni A, Mongad D, Jaani K, Kajale N, Tamahane V, Bhor S, Ladkat D, Khadilkar V, Gondhalekar K, Shouche Y, Khadilkar AV. Pilot Study on Gut Microbiota Profile in Indian Children with Type 1 Diabetes. Indian J Endocrinol Metab 2023; 27:404-409. [PMID: 38107732 PMCID: PMC10723603 DOI: 10.4103/ijem.ijem_22_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 11/03/2022] [Accepted: 11/20/2022] [Indexed: 12/19/2023] Open
Abstract
Background Non-genetic factors like microbial dysbiosis may be contributing to the increasing incidence/progression of type 1 diabetes mellitus (T1DM). Objectives To analyse the gut microbiota profile in Indian children with T1DM and its effect on glycaemic control. Methodology Faecal samples of 29 children with T1DM were collected and faecal microbial DNA was extracted and subjected to 16S rRNA (ribosomal RNA) sequencing and further analysis. Results The dominant phyla in children with T1DM were Firmicutes and Bacteroidetes. Butyrate-producing bacteria Blautia and Ruminococcus showed a significant negative correlation with the glycosylated haemoglobin (HbA1C) levels (p < 0.05). Coprococcus and Propionibacterium were important negative predictors of glycaemic control (p < 0.05). Conclusion Our study suggests that Indian children with T1DM have a distinct gut microbiome taxonomic composition and that short-chain fatty acid-producing bacteria like Ruminococcus and Blautia (butyrate-producing) may play an important role in the glycaemic control of subjects with T1DM.
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Affiliation(s)
- Nikhil Shah
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
- Department of Pediatrics, Cloudnine Hospital, Malad, Mumbai, Maharashtra, India
| | - Abhijit Kulkarni
- National Centre for Cell Science (NCCS), Pune, Maharashtra, India
| | - Dattatray Mongad
- National Centre for Cell Science (NCCS), Pune, Maharashtra, India
| | - Kunal Jaani
- National Centre for Cell Science (NCCS), Pune, Maharashtra, India
| | - Neha Kajale
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
| | - Vaishali Tamahane
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
| | - Shital Bhor
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
| | - Dipali Ladkat
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
| | - Vaman Khadilkar
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
- Interdisciplinary School of Health Sciences, Savitribai Phule Pune University, Pune, Maharashtra, India
| | - Ketan Gondhalekar
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
| | - Yogesh Shouche
- National Centre for Cell Science (NCCS), Pune, Maharashtra, India
| | - Anuradha V. Khadilkar
- Department of Growth and Pediatric Endocrinology, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra, India
- Interdisciplinary School of Health Sciences, Savitribai Phule Pune University, Pune, Maharashtra, India
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16
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Tao M, Lu G, Zhang S, Li P. Root causes of long-term complications of gestational diabetes mellitus: Metabolic disturbances of the host and gut microbiota. Clin Chim Acta 2023; 548:117490. [PMID: 37453553 DOI: 10.1016/j.cca.2023.117490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/27/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) poses a risk of short-term and long-term complications for both mother and fetus. However, there is a lack of consensus on the screening approach and pathophysiology of GDM. METHODS Women were screened at 24 to 28 weeks gestation using the one-step screening approach and serum samples were collected for metabolomics based on 1H NMR spectroscopy. A random forest classifier was developed to evaluate its diagnostic efficacy on GDM. RESULTS Serum metabolic fingerprints of women with GDM differed significantly from those with normoglycemic. Of the 59 differential metabolites identified, 25 were well-known risk metabolites associated with type 2 diabetes or cardiovascular diseases, such as branched-chain amino acids and trimethylamine N-oxide. In addition, most of the differential metabolites were microbial metabolites or could be metabolized by gut microbes. The correlation between serum metabolites and maternal 75 g OGTT glucose values supported the establishment of a random forest classifier, which selected 21 metabolites to predict GDM with an AUC of 0.988. CONCLUSIONS Metabolic disturbances in the host and gut microbiota may be a persistent contributor to the risk of developing type 2 diabetes or cardiovascular diseases in GDM. Targeting microbiota is one intervention that needs to be considered.
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Affiliation(s)
- Mingjin Tao
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, China
| | - Gaochen Lu
- Department of Microbiota Medicine & Medical Center for Digestive Diseases, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Sheng Zhang
- Department of Microbiota Medicine & Medical Center for Digestive Diseases, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Pan Li
- Department of Microbiota Medicine & Medical Center for Digestive Diseases, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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17
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Liu N, Sun Y, Wang Y, Ma L, Zhang S, Lin H. Composition of the intestinal microbiota and its variations between the second and third trimesters in women with gestational diabetes mellitus and without gestational diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1126572. [PMID: 37522117 PMCID: PMC10376686 DOI: 10.3389/fendo.2023.1126572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 06/27/2023] [Indexed: 08/01/2023] Open
Abstract
Objective This study was designed to explore the composition of the intestinal microbiota and its longitudinal variation between the second trimester (T2) and the third trimester (T3) in women with gestational diabetes mellitus (GDM) and pregnant women with normal glucose tolerance. Methods This observational study was conducted at Peking Union Medical College Hospital (PUMCH). Women with GDM and pregnant women with normal glucose tolerance were enrolled in the study, and fecal samples were collected during T2 (weeks 24~28) and T3 (weeks 34~38). Fecal samples were analyzed from 49 women with GDM and 42 pregnant women with normal glucose tolerance. The 16S rRNA gene amplicon libraries were sequenced to analyze the microbiota and QIIME2 was used to analyze microbiome bioinformatics. Results The four dominant phyla that Firmicutes, Bacteroidetes, Actinobacteria and Proteobacteria which accomplish about 99% of the total relative abundance did not significantly change between the T2 and T3 in the GDM and healthy groups. At the genus level, the relative abundance of Scardovia (0 vs. 0.25%, P = 0.041) and Propionibacterium (0 vs. 0.29%, P = 0.041) increased significantly in the control group, but not in the GDM group. At the phylum level, the relative abundance of Firmicutes and Actinobacteria was significantly different between women with GDM and pregnant women with normal glucose tolerance in both T2 and T3. In T2 and T3, the relative abundances of unidentified_Lachnospiraceae, Blautia, and Parabacteroides were significantly higher in the GDM group than in the control group (P<0.05). The relative abundance of Bifidobacterium in the GDM group was lower than in the control group in both T2 and T3. Conclusions The intestinal microbiota composition was stable from T2 to T3 in the GDM and control groups; however, the intestinal microbiota composition was different between the two groups.
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Affiliation(s)
| | - Yin Sun
- *Correspondence: Yin Sun, ; Liangkun Ma,
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18
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Teixeira RA, Silva C, Ferreira AC, Martins D, Leite-Moreira A, Miranda IM, Barros AS. The Association between Gestational Diabetes and the Microbiome: A Systematic Review and Meta-Analysis. Microorganisms 2023; 11:1749. [PMID: 37512921 PMCID: PMC10385443 DOI: 10.3390/microorganisms11071749] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Gestational diabetes, affecting about 10% of pregnancies, is characterized by impaired glucose regulation and can lead to complications for health of pregnant women and their offspring. The microbiota, the resident microbes within the body, have been linked to the development of several metabolic conditions. This systematic review with meta-analysis aims to summarize the evidence on the differences in microbiota composition in pregnant women with gestational diabetes and their offspring compared to healthy pregnancies. A thorough search was conducted in the PubMed, Scopus, and Web of Science databases, and data from 21 studies were analyzed utilizing 41 meta-analyses. In the gut microbiota, Bifidobacterium and Alistipes were found to be more abundant in healthy pregnancies, while Roseburia appears to be more abundant in gestational diabetes. The heterogeneity among study findings regarding the microbiota in the meconium is considerable. The placental microbiota exhibited almost no heterogeneity, with an increased abundance of Firmicutes in the gestational diabetes group and a higher abundance of Proteobacteria in the control. The role of the microbiota in gestational diabetes is reinforced by these findings, which additionally point to the potential of microbiome-targeted therapies. To completely comprehend the interactions between gestational diabetes and the microbiome, standardizing methodologies and further research is necessary.
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Affiliation(s)
- Rita Almeida Teixeira
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
| | - Cláudia Silva
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
| | - António Carlos Ferreira
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
| | - Diana Martins
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
| | - Adelino Leite-Moreira
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
| | - Isabel M Miranda
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
| | - António S Barros
- Cardiovascular R&D Centre, UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Professor Hernani Monteiro, 4200-319 Porto, Portugal
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19
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Hu R, Liu Z, Geng Y, Huang Y, Li F, Dong H, Ma W, Song K, Zhang M, Song Y. Gut Microbiota and Critical Metabolites: Potential Target in Preventing Gestational Diabetes Mellitus? Microorganisms 2023; 11:1725. [PMID: 37512897 PMCID: PMC10385493 DOI: 10.3390/microorganisms11071725] [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: 05/22/2023] [Revised: 06/24/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is an intractable issue that negatively impacts the quality of pregnancy. The incidence of GDM is on the rise, becoming a major health burden for both mothers and children. However, the specific etiology and pathophysiology of GDM remain unknown. Recently, the importance of gut microbiota and related metabolic molecules has gained prominence. Studies have indicated that women with GDM have significantly distinct gut microbiota and gut metabolites than healthy pregnant women. Given that the metabolic pathways of gut flora and related metabolites have a substantial impact on inflammation, insulin signaling, glucose, and lipid metabolism, and so on, gut microbiota or its metabolites, such as short-chain fatty acids, may play a significant role in both pathogenesis and progression of GDM. Whereas the role of intestinal flora during pregnancy is still in its infancy, this review aims to summarize the effects and mechanisms of gut microbiota and related metabolic molecules involved in GDM, thus providing potential intervention targets.
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Affiliation(s)
- Runan Hu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhuo Liu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuli Geng
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yanjing Huang
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Fan Li
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Haoxu Dong
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wenwen Ma
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kunkun Song
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingmin Zhang
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yufan Song
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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20
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Liu Y, Amit G, Zhao X, Wu N, Li D, Bashan A. Individualized network analysis reveals link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus. PLoS Comput Biol 2023; 19:e1011193. [PMID: 37384793 DOI: 10.1371/journal.pcbi.1011193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 05/17/2023] [Indexed: 07/01/2023] Open
Abstract
Gestational Diabetes Mellitus (GDM), a serious complication during pregnancy which is defined by abnormal glucose regulation, is commonly treated by diabetic diet and lifestyle changes. While recent findings place the microbiome as a natural mediator between diet interventions and diverse disease states, its role in GDM is still unknown. Here, based on observation data from healthy pregnant control group and GDM patients, we developed a new network approach using patterns of co-abundance of microorganism to construct microbial networks that represent human-specific information about gut microbiota in different groups. By calculating network similarity in different groups, we analyze the gut microbiome from 27 GDM subjects collected before and after two weeks of diet therapy compared with 30 control subjects to identify the health condition of microbial community balance in GDM subjects. Although the microbial communities remain similar after the diet phase, we find that the structure of their inter-species co-abundance network is significantly altered, which is reflected in that the ecological balance of GDM patients was not "healthier" after the diet intervention. In addition, we devised a method for individualized network analysis of the microbiome, thereby a pattern is found that GDM individuals whose microbial networks are with large deviations from the GDM group are usually accompanied by their abnormal glucose regulation. This approach may help the development of individualized diagnosis strategies and microbiome-based therapies in the future.
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Affiliation(s)
- Yimeng Liu
- Department of Reliability and Systems Engineering, Beihang University, Beijing, China
| | - Guy Amit
- Department of Physics, Bar-Ilan University, Ramat-Gan, Israel
- Department of Natural Sciences, The Open University of Israel, Raanana, Israel
| | - Xiaolei Zhao
- Gastroenterology Department, Peking University People's Hospital, Beijing, China
| | - Na Wu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Daqing Li
- Department of Reliability and Systems Engineering, Beihang University, Beijing, China
| | - Amir Bashan
- Department of Physics, Bar-Ilan University, Ramat-Gan, Israel
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21
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Cruz MC, Azinheiro S, Pereira SG. Modulation of gut microbiota by diet and probiotics: potential approaches to prevent gestational diabetes mellitus. GUT MICROBIOME (CAMBRIDGE, ENGLAND) 2023; 4:e17. [PMID: 39295903 PMCID: PMC11406384 DOI: 10.1017/gmb.2023.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 02/11/2023] [Accepted: 05/18/2023] [Indexed: 09/21/2024]
Abstract
Gestational diabetes mellitus (GDM) is a rising global health problem that affects approximately 6% of pregnant women. Lifestyle interventions, particularly diet, and exercise are the first-line treatment, followed by pharmacotherapy, but with associated side effects to both mother and offspring. Modulation of gut microbiota may help prevent or manage GDM. Some gut bacterial groups associated with GDM are also associated with inflammatory biomarkers and gut dysbiosis. Available literature reports that low-glycaemic index diet reduces maternal fasting and 2-hour postprandial glucose and maintains a beneficial gut bacterial composition. Pre- and probiotics can aid GDM therapy by modulating gut microbiota to eubiotic status and improving glucose metabolism. Probiotics as adjuvant GDM therapy should consider bacterial strains, dosage, and treatment duration. Limitations in their use require further studies to develop specific probiotic-based GDM supplement therapy that impacts glycaemic control and inflammatory status by reducing fasting plasma glucose, insulin resistance, and improving lipid profiles of pregnant women.
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Affiliation(s)
| | - Sarah Azinheiro
- Center for Innovative Care and Health Technology, Polytechnic of Leiria, Leiria, Portugal
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22
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Singh P, Elhaj DAI, Ibrahim I, Abdullahi H, Al Khodor S. Maternal microbiota and gestational diabetes: impact on infant health. J Transl Med 2023; 21:364. [PMID: 37280680 PMCID: PMC10246335 DOI: 10.1186/s12967-023-04230-3] [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: 02/05/2023] [Accepted: 05/26/2023] [Indexed: 06/08/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has been associated with an increased risk of obesity and diabetes in the offspring. Pregnancy is accompanied by tightly regulated changes in the endocrine, metabolic, immune, and microbial systems, and deviations from these changes can alter the mother's metabolism resulting in adverse pregnancy outcomes and a negative impact on the health of her infant. Maternal microbiomes are significant drivers of mother and child health outcomes, and many microbial metabolites are likely to influence the host health. This review discusses the current understanding of how the microbiota and microbial metabolites may contribute to the development of GDM and how GDM-associated changes in the maternal microbiome can affect infant's health. We also describe microbiota-based interventions that aim to improve metabolic health and outline future directions for precision medicine research in this emerging field.
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Affiliation(s)
- Parul Singh
- College of Health & Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
- Research Department, Sidra Medicine, Doha, Qatar
| | | | - Ibrahim Ibrahim
- Women's Department, Sidra Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Hala Abdullahi
- Women's Department, Sidra Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Souhaila Al Khodor
- College of Health & Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
- Research Department, Sidra Medicine, Doha, Qatar.
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23
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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: 40] [Impact Index Per Article: 40.0] [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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24
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Ren Y, Hao L, Liu J, Wang P, Ding Q, Chen C, Song Y. Alterations in the Gut Microbiota in Pregnant Women with Pregestational Type 2 Diabetes Mellitus. mSystems 2023; 8:e0114622. [PMID: 36853013 PMCID: PMC10134876 DOI: 10.1128/msystems.01146-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 01/17/2023] [Indexed: 03/01/2023] Open
Abstract
Human gut dysbiosis is associated with type 2 diabetes mellitus (T2DM); however, the gut microbiome in pregnant women with pregestational type 2 diabetes mellitus (PGDM) remains unexplored. We investigated the alterations in the gut microbiota composition in pregnant women with or without PGDM. The gut microbiota was examined using 16S rRNA sequencing data of 234 maternal fecal samples that were collected during the first (T1), second (T2), and third (T3) trimesters. The PGDM group presented a reduction in the number of gut bacteria taxonomies as the pregnancies progressed. Linear discriminant analyses revealed that Megamonas, Bacteroides, and Roseburia intestinalis were enriched in the PGDM group, whereas Bacteroides vulgatus, Faecalibacterium prausnitzii, Eubacterium rectale, Bacteroides uniformis, Eubacterium eligens, Subdoligranulum, Bacteroides fragilis, Dialister, Lachnospiraceae, Christensenellaceae R-7, Roseburia inulinivorans, Streptococcus oralis, Prevotella melaninogenica, Neisseria perflava, Bacteroides ovatus, Bacteroides caccae, Veillonella dispar, and Haemophilus parainfluenzae were overrepresented in the control group. Correlation analyses showed that the PGDM-enriched taxa were correlated with higher blood glucose levels during pregnancy, whereas the taxonomic biomarkers of normoglycemic pregnancies exhibited negative correlations with glycemic traits. The microbial networks in the PGDM group comprised weaker microbial interactions than those in the control group. Our study reveals the distinct characteristics of the gut microbiota composition based on gestational ages between normoglycemic and PGDM pregnancies. Further longitudinal research involving women with T2DM at preconception stages and investigations using shotgun metagenomic sequencing should be performed to elucidate the relationships between specific bacterial functions and PGDM metabolic statuses during pregnancy and to identify potential therapeutic targets. IMPORTANCE The incidence of pregestational type 2 diabetes mellitus (PGDM) is increasing, with high rates of serious adverse maternal and neonatal outcomes that are strongly correlated with hyperglycemia. Recent studies have shown that type 2 diabetes mellitus is associated with gut microbial dysbiosis; however, the gut microbiome composition and its associations with the metabolic features of patients with PGDM remain largely unknown. In this study, we investigated the changes in the gut microbiota composition in pregnant women with and without PGDM. We identified differential taxa that may be correlated with maternal metabolic statuses during pregnancy. Additionally, we observed that the number of taxonomic and microbial networks of gut bacteria were distinctly reduced in women with hyperglycemia as their pregnancies progressed. These results extend our understanding of the associations between the gut microbial composition, PGDM-related metabolic changes, and pregnancy outcomes.
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Affiliation(s)
- Yuan Ren
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | | | - Juntao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - Pei Wang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | | | | | - Yingna Song
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
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25
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Sun Z, Pan X, Li X, Jiang L, Hu P, Wang Y, Ye Y, Wu P, Zhao B, Xu J, Kong M, Pu Y, Zhao M, Hu J, Wang J, Chen G, Yuan C, Yu Y, Gao X, Zhao F, Pan A, Zheng Y. The Gut Microbiome Dynamically Associates with Host Glucose Metabolism throughout Pregnancy: Longitudinal Findings from a Matched Case-Control Study of Gestational Diabetes Mellitus. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205289. [PMID: 36683149 PMCID: PMC10074094 DOI: 10.1002/advs.202205289] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/11/2022] [Indexed: 06/17/2023]
Abstract
Though gut microbiome disturbance may be involved in the etiology of gestational diabetes mellitus (GDM), data on the gut microbiome's dynamic change during pregnancy and associations with gestational glucose metabolism are still inadequate. In this prospective study comprising 120 pairs of GDM patients and matched pregnant controls, a decrease in the diversity of gut microbial species and changes in the microbial community composition with advancing gestation are found in controls, while no such trends are observed in GDM patients. Multivariable analysis identifies 10 GDM-related species (e.g., Alistipes putredinis), and the integrated associations of these species with glycemic traits are modified by habitual intake of fiber-rich plant foods. In addition, the microbial metabolic potentials related to fiber fermentation (e.g., mannan degradation pathways) and their key enzymes consistently emerge as associated with both GDM status and glycemic traits. Microbial features especially those involved in fiber fermentation, provide an incremental predictive value in a prediction model with established risk factors of GDM. These data suggest that the gut microbiome remodeling with advancing gestation is different in GDM patients compared with controls, and dietary fiber fermentation contributes to the influence of gut microbiome on gestational glycemic regulation.
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Affiliation(s)
- Zhonghan Sun
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- Ministry of Education Key Laboratory of Contemporary AnthropologyFudan UniversityShanghaiChina
| | - Xiong‐Fei Pan
- Section of Epidemiology and Population HealthMinistry of Education Key Laboratory of Birth Defects and Related Diseases of Women and ChildrenWest China Second University Hospital & West China Biomedical Big Data CenterWest China HospitalSichuan University; Shuangliu Institute of Women's and Children's HealthShuangliu Maternal and Child Health HospitalChengduSichuanChina
| | - Xiao Li
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- Ministry of Education Key Laboratory of Contemporary AnthropologyFudan UniversityShanghaiChina
| | - Limiao Jiang
- Department of Epidemiology & BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology)Ministry of EducationWuhanHubeiChina
| | - Ping Hu
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology)Ministry of EducationWuhanHubeiChina
| | - Yi Wang
- Department of Epidemiology & BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology)Ministry of EducationWuhanHubeiChina
| | - Yi Ye
- Department of Epidemiology & BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology)Ministry of EducationWuhanHubeiChina
| | - Ping Wu
- Department of Epidemiology & BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology)Ministry of EducationWuhanHubeiChina
| | - Bin Zhao
- Antenatal Care ClinicsShuangliu Maternal and Child Health HospitalChengduChina
| | - Jianguo Xu
- Department of Clinical LaboratoriesShuangliu Maternal and Child Health HospitalChengduChina
| | - Mengmeng Kong
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- Ministry of Education Key Laboratory of Contemporary AnthropologyFudan UniversityShanghaiChina
| | - Yanni Pu
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- Ministry of Education Key Laboratory of Contemporary AnthropologyFudan UniversityShanghaiChina
| | - Manying Zhao
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- Ministry of Education Key Laboratory of Contemporary AnthropologyFudan UniversityShanghaiChina
| | - Jianying Hu
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- Ministry of Education Key Laboratory of Contemporary AnthropologyFudan UniversityShanghaiChina
| | - Jinfeng Wang
- Beijing Institutes of Life ScienceChinese Academy of SciencesBeijingChina
| | - Guo‐Chong Chen
- Department of Nutrition and Food HygieneSchool of Public HealthSoochow UniversitySuzhouChina
| | - Changzheng Yuan
- School of Public HealthZhejiang University School of MedicineHangzhouZhejiangChina
| | - Yongfu Yu
- School of Public HealthFudan UniversityShanghaiChina
| | - Xiang Gao
- School of Public HealthFudan UniversityShanghaiChina
| | - Fangqing Zhao
- Beijing Institutes of Life ScienceChinese Academy of SciencesBeijingChina
| | - An Pan
- Department of Epidemiology & BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiChina
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology)Ministry of EducationWuhanHubeiChina
| | - Yan Zheng
- State Key Laboratory of Genetic EngineeringSchool of Life Sciences and Human Phenome InstituteFudan UniversityShanghaiChina
- School of Public HealthFudan UniversityShanghaiChina
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26
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Li M, Zhang G, Cui L, Zhang L, Zhou Q, Mu C, Chi R, Zhang N, Ma G. Dynamic changes in gut microbiota during pregnancy among Chinese women and influencing factors: A prospective cohort study. Front Microbiol 2023; 14:1114228. [PMID: 37065129 PMCID: PMC10096036 DOI: 10.3389/fmicb.2023.1114228] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/09/2023] [Indexed: 03/31/2023] Open
Abstract
Gut microbiota (GM) dynamics during pregnancy vary among different populations and are affected by many factors, such as living environments and diet. This study aims to observe and evaluate the changes in the structure and function of the GM from the first to the third trimester of pregnancy in Chinese women, and to explore the main factors affecting the changes in intestinal microecology. Fifty-five Chinese pregnant women were recruited for this study and their fecal samples were collected during the first (P1), second (P2), and third trimesters (P3) of pregnancy. We exploited metagenomic sequencing to compare the composition and function of the GM in different pregnancy periods. Bioinformatic analysis revealed that there were differences in the composition of the GM among P1, P2, and P3, as indicated by the increase in α-diversity and β-diversity of the GM and the differences in the relative abundances of distinct bacterial phyla. Gestational diabetes mellitus (GDM) was the main factor (P < 0.05) that affected the changes in GM at various stages of pregnancy. There were also disparities in the structure of the GM between the GDM group and non-GDM group in the P1, P2, and P3. The GDM group exhibited increased abundances in Ruminococcus_gnavus, Akkermansia_muciniphila, Alistipes_shahii, Blautia_obeum, and Roseburia_intestinalis; while, the abundances of Bacteroides coprocola, Bacteroides plebeius, Erysipelatoclostridium ramosum, and Prevotella copri were increased in the non-GDM group. Three of the four species enriched in the non-GDM group manifestied significantly negative correlations with the insulin-signaling pathway and lipopolysaccharide biosynthesis (r ≤ −0.3, adjusted P < 0.05). In the GDM group, Bacteroides vulgatus and Ruminococcus gnavus were significantly and positively correlated with insulin signaling pathway and lipopolysaccharide biosynthesis (r ≤ −0.3, adjusted P < 0.05) among the species enriched from early pregnancy. Virtually all of the species enriched in P2 and P3 were positively correlated with steroid hormone biosynthesis. These results suggest a potential role for the GM in the development of GDM, enabling the potential prevention of GDM by targeting the GM.
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Affiliation(s)
- Muxia Li
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
| | - Guohua Zhang
- The Third Department of Obstetrics, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China
| | - Lijun Cui
- The Seventh Department of Obstetrics, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China
| | - Lin Zhang
- Department of Pediatrics, The Third Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qian Zhou
- Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Chenxue Mu
- The Third Department of Obstetrics, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, China
| | - Ruixin Chi
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
| | - Na Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
- Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing, China
| | - Guansheng Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
- Laboratory of Toxicological Research and Risk Assessment for Food Safety, Peking University, Beijing, China
- *Correspondence: Guansheng Ma,
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Amniotic fluid and vaginal microbiota in pregnant women with gestational diabetes mellitus by metagenomics. MEDICINE IN MICROECOLOGY 2023. [DOI: 10.1016/j.medmic.2022.100074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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Kunasegaran T, Balasubramaniam VRMT, Arasoo VJT, Palanisamy UD, Ramadas A. Diet Gut Microbiota Axis in Pregnancy: A Systematic Review of Recent Evidence. Curr Nutr Rep 2023; 12:203-214. [PMID: 36810808 PMCID: PMC9974723 DOI: 10.1007/s13668-023-00453-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2022] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Although gut microbiota have been associated with the etiology of some diseases, the influence of foods on gut microbiota, especially among pregnant women, remains unclear. Hence, a systematic review was performed to investigate the association between diet and gut microbiota and their influence on metabolic health in pregnant women. RECENT FINDINGS We performed the systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 protocol to investigate the association between diet and gut microbiota and their influence on metabolic role in pregnant women. Five databases were searched for relevant peer-reviewed articles published in English since 2011. Two-staged screening of 659 retrieved records resulted in the inclusion of 10 studies. The collated findings suggested associations between nutrient intakes and four key microbes: Collinsella, Lachnospira, Sutterella, Faecalibacterium, and the Firmicutes/Bacteroidetes ratio in pregnant women. Dietary intakes in pregnancy were found to modify the gut microbiota and positively influence the cell metabolism in pregnant women. This review, however, emphasizes the importance of conducting well-designed prospective cohorts to investigate the role of changes in dietary intakes within the pregnancy and the influence of such changes on gut microbiota.
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Affiliation(s)
- Thubasni Kunasegaran
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, 47500 Bandar Sunway, Malaysia
| | | | | | - Uma Devi Palanisamy
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, 47500 Bandar Sunway, Malaysia
| | - Amutha Ramadas
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, 47500 Bandar Sunway, Malaysia
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Gut Microbial Succession Patterns and Metabolic Profiling during Pregnancy and Lactation in a Goat Model. Microbiol Spectr 2023; 11:e0295522. [PMID: 36700635 PMCID: PMC9927511 DOI: 10.1128/spectrum.02955-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The maternal gut microbiome affects the duration of pregnancy, delivery, and lactation. It also coordinates the stability of maternal metabolism by regulating and modulating inflammatory cytokines and reproductive hormones. This has been shown in several species; however, the situation in ruminants remains a black box. Here, we aimed to elucidate the relationship between the hindgut microbiota, metabolism, and reproductive hormones in domestic goats (Capra hircus) during nonpregnancy, pregnancy, and lactation stages. The hindgut microbiota was altered during these three stages, with a drastic decrease in the abundance of Family_XIII_AD3011_group in the second and third trimesters of pregnancy. Additionally, a decline in the abundance of Christensenellaceae_R-7_group and Turicibacter was observed from the nonpregnancy stage to late gestation. Family_XIII_AD3011_group and Paeniclostridium were strongly correlated with decreased fecal estradiol and progesterone. Furthermore, we generated a metabolome atlas of the gut and serum from nonpregnancy to lactation to reveal the specific metabolic fingerprints of each physiological stage. Several specific gut metabolites, including carnitine C8:1, γ-aminobutyric acid, and indole-3-carboxylic acid, were negatively correlated with the fecal and serum estradiol concentrations. In contrast, 2'-deoxyinosine, deoxyadenosine, and 5'-deoxyadenosine were positively correlated with the fecal and serum estradiol concentrations. The levels of 2'-deoxyinosine, deoxyadenosine, and 5'-deoxyadenosine in fecal samples were positively correlated with Family_XIII_AD3011_group. Other serum metabolites, such as (±)12-HEPE (hydroxy eicosapentaenoic acid), (±)15-HEPE, (±)18-HEPE, cytidine, uracil, and 5-hydroxyindole-3-acetic acid, were negatively correlated with the serum concentrations of estradiol and progesterone. Finally, Corynebacterium and Clostridium_sensu_stricto_1 in the fecal samples were positively correlated with the abundance of 11,12-EET (epoxy-eicosatrienoic acid), (±)18-HEPE, (±)15-HEPE, and (±)12-HEPE in the serum. IMPORTANCE Our findings revealed that the activity of Family_XIII_AD3011_group and Corynebacterium is strongly correlated with the beneficial regulation of physiological hormones and metabolic changes during pregnancy and lactation. These findings are key for guiding targeted microbial therapeutic approaches to modulate microbiomes in gestating and lactating mammals.
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Giannella L, Grelloni C, Quintili D, Fiorelli A, Montironi R, Alia S, Delli Carpini G, Di Giuseppe J, Vignini A, Ciavattini A. Microbiome Changes in Pregnancy Disorders. Antioxidants (Basel) 2023; 12:463. [PMID: 36830021 PMCID: PMC9952029 DOI: 10.3390/antiox12020463] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
The human microbiota comprises all microorganisms, such as bacteria, fungi, and viruses, found within a specific environment that live on our bodies and inside us. The last few years have witnessed an explosion of information related to the role of microbiota changes in health and disease. Even though the gut microbiota is considered the most important in maintaining our health, other regions of the human body, such as the oral cavity, lungs, vagina, and skin, possess their own microbiota. Recent work suggests a correlation between the microbiota present during pregnancy and pregnancy complications. The aim of our literature review was to provide a broad overview of this growing and important topic. We focused on the most significant changes in the microbiota in the four more common obstetric diseases affecting women's health. Thus, our attention will be focused on hypertensive disorders, gestational diabetes mellitus, preterm birth, and recurrent miscarriage. Pregnancy is a unique period in a woman's life since the body undergoes different adaptations to provide an optimal environment for fetal growth. Such changes also involve all the microorganisms, which vary in composition and quantity during the three trimesters of gestation. In addition, special attention will be devoted to the potential and fundamental advances in developing clinical applications to prevent and treat those disorders by modulating the microbiota to develop personalized therapies for disease prevention and tailored treatments.
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Affiliation(s)
- Luca Giannella
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Camilla Grelloni
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Dayana Quintili
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Alessia Fiorelli
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Ramona Montironi
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Sonila Alia
- Department of Clinical Sciences, Section of Biochemistry, Biology and Physics, Università Politecnica delle Marche, Via Tronto 10/A, 60126 Ancona, Italy
| | - Giovanni Delli Carpini
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Jacopo Di Giuseppe
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
| | - Arianna Vignini
- Department of Clinical Sciences, Section of Biochemistry, Biology and Physics, Università Politecnica delle Marche, Via Tronto 10/A, 60126 Ancona, Italy
| | - Andrea Ciavattini
- Woman’s Health Sciences Department, Gynecologic Section, Polytechnic University of Marche, Via Filippo Corridoni, 16, 60123 Ancona, Italy
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Wang J, Wang Y, Zheng W, Yuan X, Liu C, Zhang Y, Song W, Wang X, Liang S, Ma X, Li G. Dynamic changes of serum taurine and the association with gestational diabetes mellitus: A nested case-control study. Front Endocrinol (Lausanne) 2023; 14:1116044. [PMID: 37033232 PMCID: PMC10076711 DOI: 10.3389/fendo.2023.1116044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
OBJECTIVE There is a lack of risk factors that can effectively identify gestational diabetes mellitus (GDM) in early pregnancy. It is unclear whether serum taurine in the first trimester and dynamic changes have different characteristics in GDM women. Whether these features are associated with the occurrence of GDM has not yet been elucidated. The main objective of this study was to observe the dynamic changes of serum taurine during pregnancy and investigate the relationship between serum taurine levels and GDM in the first and second trimesters. METHODS This was a nested case-control study in 47 women with GDM and 47 age-matched normoglycemic women. We examined serum taurine at 8-12 weeks' gestation and 24-28 weeks' gestation. The serum taurine of the two groups was compared. Multivariable logistic regression analysis was performed to investigate how serum taurine was associated with GDM. RESULTS The serum taurine concentration of GDM women was significantly lower than that of normoglycemic women in the first trimester(2.29 vs 3.94 μmol/L, P<0.001). As the pregnancy progressed, serum taurine concentration in normoglycaemic women decreased significantly(3.94 vs 2.47 μmol/L, P<0.001), but not in the GDM group(2.29 vs 2.37 μmol/L, P=0.249), resulting in the disappearance of differences between the two groups(2.47 vs 2.37 μmol/L, P=0.160). After adjustment for pre-pregnancy body mass index(BMI), fasting plasma glucose(FPG), and lipid profiles in the first trimester, the serum taurine concentration in the first trimester was negatively correlated with the risk of GDM(OR=0.017, 95% CI=0.003-0.107, P<0.001). Furthermore, dynamic change of serum taurine showed a significantly positive correlation with the risk of GDM(OR=9.909, 95% CI=3.556-27.610, P<0.001). CONCLUSION Low serum taurine concentration in the first trimester was significantly associated with the development of GDM. As the pregnancy progressed, the association between serum taurine and GDM disappeared in the second trimester, which might be related to the inhibition of taurine transporter(TauT) activity by high glucose.
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Affiliation(s)
- Jia Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Wei Zheng
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xianxian Yuan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Cheng Liu
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Ya Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Wei Song
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xiaoxin Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Shengnan Liang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- *Correspondence: Guanghui Li, ; Xu Ma,
| | - Guanghui Li
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
- *Correspondence: Guanghui Li, ; Xu Ma,
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Li C, Liu C, Li N. Causal associations between gut microbiota and adverse pregnancy outcomes: A two-sample Mendelian randomization study. Front Microbiol 2022; 13:1059281. [PMID: 36590417 PMCID: PMC9801412 DOI: 10.3389/fmicb.2022.1059281] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 11/11/2022] [Indexed: 12/23/2022] Open
Abstract
Growing evidence indicates that gut microbiota could be closely associated with a variety of adverse pregnancy outcomes (APOs), but a causal link between gut microbiome and APOs has yet to be established. Therefore, in this study, we comprehensively investigated the relationship between gut microbiota and APOs to identify specific causal bacteria that may be associated with the development and occurrence of APOs by conducting a two-sample Mendelian randomization (MR) analysis. The microbiome genome-wide association study (GWAS) from the MiBioGen consortium was used as exposure data, and the GWAS for six common APOs was used as outcome data. Single-nucleotide polymorphisms (SNPs) that significantly correlated to exposure, data obtained from published GWAS, were selected as instrumental variables (IVs). We used the inverse variance-weighted (IVW) test as the main MR analysis to estimate the causal relationship. The Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) and MR-Egger regression were used to confirm the presence of horizontal pleiotropy and to exclude outlier SNPs. We performed Cochran's Q test to assess the heterogeneity among SNPs associated with each bacterium. The leave-one-out sensitivity analysis was used to evaluate whether the overall estimates were affected by a single SNP. Our analysis shows a causal association between specific gut microbiota and APOs. Our findings offer novel insights into the gut microbiota-mediated development mechanism of APOs.
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Affiliation(s)
- Chuang Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China,Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
| | - Caixia Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China,Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
| | - Na Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China,Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China,*Correspondence: Na Li
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Huang L, Sililas P, Thonusin C, Tongsong T, Luewan S, Chattipakorn N, Chattipakorn SC. Association Between Gut Microbiota and Insulin Therapy in Women With Gestational Diabetes Mellitus. Can J Diabetes 2022; 46:804-812.e2. [PMID: 35840501 DOI: 10.1016/j.jcjd.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 05/11/2022] [Accepted: 05/24/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVES At the time of diagnosis, the blood glucose of women with gestational diabetes mellitus (GDM) who require subsequent insulin treatment does not differ from that of women with adequate diet control. Hence, in this study, we aimed to determine the role of maternal gut microbiota as a marker of insulin necessity in GDM and to identify the effect of insulin therapy on gut microbiota composition in mothers with GDM and their newborns. METHODS Seventy-one pregnant women were enrolled into the study, including 38 GDM and 33 non-GDM participants. During the follow-up period, 8 of the 38 GDM subjects required insulin therapy (GDM-I group), whereas 30 of the 38 GDM cases with sufficient glycemic control by diet alone (GDM-D group). Maternal blood and feces were obtained at the time of GDM diagnosis (pretreatment; 24 to 28 weeks of gestation) and before delivery (posttreatment; ≥37 weeks of gestation). Meconium and first feces of the newborns were also collected. RESULTS Pretreatment, the glycemic profile did not differ between the GDM-D and GDM-I groups. However, the proportions of Clostridiales, Lactobacillus and Bacteroidetes were higher in the GDM-I group than in the non-GDM and GDM-D groups. After treatment, gut microbiota composition showed no difference between non-GDM and GDM-I groups. Interestingly, a higher Firmicutes/Bacteroidetes (F/B) ratio was displayed in GDM-D mothers at posttreatment, and this was also observed in both meconium and first feces of GDM-D newborns. CONCLUSION Insulin therapy changed maternal gut microbiota composition, which could be transferable to the mothers' newborns.
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Affiliation(s)
- Lingling Huang
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; School of Basic Medical Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Palin Sililas
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Chanisa Thonusin
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Theera Tongsong
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Suchaya Luewan
- Maternal Fetal Medicine Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Nipon Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Siriporn C Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
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Kamińska K, Stenclik D, Błażejewska W, Bogdański P, Moszak M. Probiotics in the Prevention and Treatment of Gestational Diabetes Mellitus (GDM): A Review. Nutrients 2022; 14:4303. [PMID: 36296986 PMCID: PMC9608451 DOI: 10.3390/nu14204303] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/10/2022] [Accepted: 10/13/2022] [Indexed: 11/05/2022] Open
Abstract
Gestational diabetes mellitus (GDM)is one of the most common perinatal pathologies, with a prevalence of 5-20% depending on the population or diagnostic standards. It is diagnosed when glucose intolerance is first detected during pregnancy. In the pathogenesis of GDM, genetic, environmental, and pregnancy-related factors (excessive fat storage and increased adipokine and cytokine secretion) play important roles. A growing amount of scientific data has indicated the role of gut microbiota (GM) dysbiosis in the development of glucose intolerance during pregnancy. Previous studies have indicated that, in comparison to healthy pregnant women, GDM individuals have a greater abundance of bacteria belonging to the genera Ruminococcus, Eubacterium, and Prevotella and a lower number of bacteria belonging to the genera Bacteroides, Parabacteroides, Roseburia, Dialister, and Akkermansia. Recently, many studies have focused on treating GDM with methods targeting GM. Several previous studies have analyzed the effect of probiotics on the course of GDM, but their data are inconclusive. In view of this state, the aim of the study was to collect and comprehensively discuss current knowledge regarding the role of probiotic supplementation in preventing and treating GDM. According to the analyzed data, probiotics have a positive influence on glycemic control and are a promising tool for lowering the frequency of GDM. However, further studies must be conducted to determine the optimal model of probiotic therapy (strain, dose, time of intervention, etc.) in pregnant women with GDM.
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Affiliation(s)
- Klaudia Kamińska
- Student Scientific Club of Clinical Dietetics, Department of the Treatment of Obesity and Metabolic Disorders, and of Clinical Dietetics, Poznań University of Medical Sciences, Szamarzewskiego 82/84, 60-569 Poznan, Poland
| | - Dominika Stenclik
- Student Scientific Club of Clinical Dietetics, Department of the Treatment of Obesity and Metabolic Disorders, and of Clinical Dietetics, Poznań University of Medical Sciences, Szamarzewskiego 82/84, 60-569 Poznan, Poland
| | - Wiktoria Błażejewska
- Student Scientific Club of Clinical Dietetics, Department of the Treatment of Obesity and Metabolic Disorders, and of Clinical Dietetics, Poznań University of Medical Sciences, Szamarzewskiego 82/84, 60-569 Poznan, Poland
| | - Paweł Bogdański
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, 60-569 Poznan, Poland
| | - Małgorzata Moszak
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, 60-569 Poznan, Poland
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Dualib PM, Taddei CR, Fernandes G, Carvalho CRS, Sparvoli LG, Silva IT, Mattar R, Ferreira SRG, Dib SA, de Almeida-Pititto B. Gut Microbiota across Normal Gestation and Gestational Diabetes Mellitus: A Cohort Analysis. Metabolites 2022; 12:metabo12090796. [PMID: 36144203 PMCID: PMC9504460 DOI: 10.3390/metabo12090796] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 08/18/2022] [Accepted: 08/23/2022] [Indexed: 12/16/2022] Open
Abstract
The prevalence of gestational diabetes mellitus (GDM) is a global public health concern. The mechanism that leads to glucose tolerance beyond normal physiological levels to pathogenic conditions remains incompletely understood, and it is speculated that the maternal microbiome may play an important role. This study analyzes the gut microbiota composition in each trimester of weight-matched women with and without GDM and examines possible bacterial genera associations with GDM. This study followed 56 pregnant women with GDM and 59 without admitted to the outpatient clinic during their first/second or third trimester of gestation. They were submitted to a standardized questionnaire, dietary recalls, clinical examination, biological sample collection, and molecular profiling of fecal microbiota. Women with GDM were older and had a higher number of pregnancies than normal-tolerant ones. There was no difference in alpha diversity, and the groups did not differ regarding the overall microbiota structure. A higher abundance of Bacteroides in the GDM group was found. A positive correlation between Christensenellaceae and Intestinobacter abundances with one-hour post-challenge plasma glucose and a negative correlation between Enterococcus and two-hour plasma glucose levels were observed. Bifidobacterium and Peptococcus abundances were increased in the third gestational trimester for both groups. The gut microbiota composition was not dependent on the presence of GDM weight-matched women throughout gestation. However, some genera abundances showed associations with glucose metabolism. Our findings may therefore encourage a deeper understanding of physiological and pathophysiological changes in the microbiota throughout pregnancy, which could have further implications for diseases prevention.
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Affiliation(s)
- Patricia M. Dualib
- Department of Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sena Madureira, 1500, Vila Clementino, São Paulo CEP 04021-001, Brazil
- Correspondence: ; Tel.: +55-11-983-220-909
| | - Carla R. Taddei
- Department of Clinical and Toxicological Analysis and Obstetrics, School of Arts, Sciences and Humanities, Universidade de São Paulo (USP), Av. Prof. Lineu Prestes 580—Bloco 17, São Paulo CEP 05508-000, Brazil
| | - Gabriel Fernandes
- DepaBiosystems Informatics and Genomics Group, Instituto René Rachou—Fiocruz Minas, Av. Augusto de Lima, 1714, Belo Horizonte CEP 30190-002, Brazil
| | - Camila R. S. Carvalho
- Graduate Program in Endocrinology and Metabology, Universidade Federal de São Paulo, Rua Estado de Israel, nº 639, Vila Clementino, São Paulo CEP 04022-001, Brazil
| | - Luiz Gustavo Sparvoli
- Department of Clinical and Toxicological Analysis and Obstetrics, School of Arts, Sciences and Humanities, Universidade de São Paulo (USP), Av. Prof. Lineu Prestes 580—Bloco 17, São Paulo CEP 05508-000, Brazil
| | - Isis T. Silva
- Nutrition Course, Centro Universitário Estácio de Sá, Rua Erê, 207, Belo Horizonte CEP 30411-052, Brazil
| | - Rosiane Mattar
- Departament of Obstetrics, Escola Paulista de Medicina, Universidade Federal de São Paulo, R. Napoleão de Barros, 875—Vila Clementino, São Paulo CEP 04024-002, Brazil
| | - Sandra R. G. Ferreira
- Department of Epidemiology, Escola de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715—Cerqueira César, São Paulo CEP 01246-904, Brazil
| | - Sergio A. Dib
- Department of Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, Sena Madureira, 1500, Vila Clementino, São Paulo CEP 04021-001, Brazil
| | - Bianca de Almeida-Pititto
- Department of Preventive Medicine, Escola Paulista de Medicina, Campus São Paulo, Universidade Federal de São Paulo, Rua Botucatu, n° 740, Vila Clementino, São Paulo CEP 04023-062, Brazil
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Machine learning-based models for gestational diabetes mellitus prediction before 24–28 weeks of pregnancy: A review. Artif Intell Med 2022; 132:102378. [DOI: 10.1016/j.artmed.2022.102378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/21/2022] [Accepted: 08/18/2022] [Indexed: 11/21/2022]
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Effects of Probiotic Supplementation during Pregnancy on the Future Maternal Risk of Metabolic Syndrome. Int J Mol Sci 2022; 23:ijms23158253. [PMID: 35897822 PMCID: PMC9330652 DOI: 10.3390/ijms23158253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 07/21/2022] [Accepted: 07/23/2022] [Indexed: 12/12/2022] Open
Abstract
Probiotics are live microorganisms that induce health benefits in the host. Taking probiotics is generally safe and well tolerated by pregnant women and their children. Consumption of probiotics can result in both prophylactic and therapeutic effects. In healthy adult humans, the gut microbiome is stable at the level of the dominant taxa: Bacteroidetes, Firmicutes and Actinobacteria, and has a higher presence of Verrucomicrobia. During pregnancy, an increase in the number of Proteobacteria and Actinobacteria phyla and a decrease in the beneficial species Roseburia intestinalis and Faecalibacterium prausnitzii are observed. Pregnancy is a "window" to the mother's future health. The aim of this paper is to review studies assessing the potentially beneficial effects of probiotics in preventing the development of diseases that appear during pregnancy, which are currently considered as risk factors for the development of metabolic syndrome, and consequently, reducing the risk of developing maternal metabolic syndrome in the future. The use of probiotics in gestational diabetes mellitus, preeclampsia and excessive gestational weight gain is reviewed. Probiotics are a relatively new intervention that can prevent the development of these disorders during pregnancy, and thus, would reduce the risk of metabolic syndrome resulting from these disorders in the mother's future.
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Koerner R, Groer M, Prescott S. Scoping Review of the Relationship Between Gestational Diabetes Mellitus and the Neonatal and Infant Gut Microbiome. J Obstet Gynecol Neonatal Nurs 2022; 51:502-516. [PMID: 35839839 DOI: 10.1016/j.jogn.2022.06.037] [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: 12/15/2021] [Revised: 06/05/2022] [Accepted: 06/13/2022] [Indexed: 10/17/2022] Open
Abstract
OBJECTIVE To conduct a scoping review to examine the relationship between a diagnosis of gestational diabetes mellitus (GDM) and the neonatal and infant gut microbiome from 0 to 1 year of age. DATA SOURCES We searched PubMed, Scopus, Embase, and CINAHL for articles with key terms "microbiome" and "gestational diabetes mellitus." STUDY SELECTION We included articles published in English in peer-reviewed journals between 2012 and 2021 that were reports of original research studies in which researchers used next-generation sequencing for analysis of the fecal microbiome and collected meconium or transitional stool from neonates and infants. DATA EXTRACTION We identified nine studies with a combined sample size of 1,279 neonates and infants. We extracted data, including title, authors, sample size, study design, methods, findings, significance, and limitations. We extracted and charted confounding variables such as treatment of GDM, body mass index, gestational age at birth, antibiotic use, mode of birth, and feeding method. DATA SYNTHESIS Gestational diabetes mellitus may alter the neonatal and infant gut microbiome because neonates and infants of women with GDM had altered composition and diversity compared to neonates and infants of women without GDM. CONCLUSION Mechanisms by which the neonatal and infant microbiome changes in response to GDM are poorly understood and need to be evaluated in future research. Further study of how GDM plays a role in the initial seeding of the microbiome, how the maternal microbiome may affect fetal metabolic programming, and how the neonatal microbiome leads to the future development of obesity and glucose intolerance is critical. Future studies should include larger sample sizes, appropriate collection of potential confounding variables, assessment of maternal interventions for GDM, and longitudinal designs to further understand potential associations with long-term detrimental outcomes such as obesity and impaired glucose tolerance.
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Liu ZZ, Sun JH, Wang WJ. Gut microbiota in gastrointestinal diseases during pregnancy. World J Clin Cases 2022; 10:2976-2989. [PMID: 35647135 PMCID: PMC9082698 DOI: 10.12998/wjcc.v10.i10.2976] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/18/2021] [Accepted: 03/07/2022] [Indexed: 02/06/2023] Open
Abstract
Gut microbiota (GM) is a micro-ecosystem composed of all microorganisms in the human intestine. The interaction between GM and the host plays an important role in maintaining normal physiological functions in the host. Dysbiosis of the GM may cause various diseases. GM has been demonstrated to be associated with human health and disease, and changes during individual development and disease. Pregnancy is a complicated physiological process. Hormones, the immune system, metabolism, and GM undergo drastic changes during pregnancy. Gastrointestinal diseases during pregnancy, such as hepatitis, intrahepatic cholestasis of pregnancy, and pre-eclampsia, can affect both maternal and fetal health. The dysregulation of GM during pregnancy may lead to a variety of diseases, including gastrointestinal diseases. Herein, we review recent research articles on GM in pregnancy-related gastrointestinal diseases, discuss the interaction of the GM with the host under normal physiological conditions, gastrointestinal diseases, and pregnancy-specific disorders. As more attention is paid to reproductive health, the pathogenic mechanism of GM in gastrointestinal diseases during pregnancy will be further studied to provide a theoretical basis for the use of probiotics to treat these diseases.
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Affiliation(s)
- Zhong-Zhen Liu
- BGI-Shenzhen, Shenzhen 518083, Guangdong Province, China
| | - Jing-Hua Sun
- BGI-Shenzhen, Shenzhen 518083, Guangdong Province, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wen-Jing Wang
- BGI-Shenzhen, Shenzhen 518083, Guangdong Province, China
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16S rRNA Gene Sequencing Revealed Changes in Gut Microbiota Composition during Pregnancy and Lactation in Mice Model. Vet Sci 2022; 9:vetsci9040169. [PMID: 35448667 PMCID: PMC9024687 DOI: 10.3390/vetsci9040169] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/29/2022] [Accepted: 03/30/2022] [Indexed: 01/27/2023] Open
Abstract
The gut microbiota play a vital role in regulating endocrine-mediated metabolism, immunity, and energy metabolism. However, little is known about the gut microbiota and metabolite composition and development throughout pregnancy and lactation. Here, we used amplicon sequencing to analyze the gut microbiota composition of 35 female mice in five stages of pregnancy and lactation, namely, non-receptive (NR) stages, sexually-receptive (SR) stages, at day 15 of pregnancy (Pre_D15), at the day of birth (Del), and at day 10 of lactation (Lac_D10). The results revealed that the α diversity of gut microbiota was significantly increased during pregnancy and lactation. In addition, the principal coordinate analysis (PCoA) conducted on the amplicon sequence variants’ (ASVs’) distribution of the 16S rRNA amplicons indicated that the microbiota composition was significantly different among the five groups. Based on a random forest analysis, Oscillospira, Dehalobacterium, and Alistipes were the most important microbiota. The abundance of Allobaculum, Oscillospira, and Ruminococcus were negatively correlated with the serum progesterone concentration, while the abundance of Oscillospira was positively correlated with the propionate and valerate concentration in the caecal contents. Moreover, the concentration of acetate and propionate in the Del and Lac_D10 stages was significantly lower than in the SR and Pre_D15 stages. Our findings indicate that some gut microbes and metabolites vary considerably at the different stages of pregnancy and during lactation stages, which can potentially be used as microbial biomarkers. These results provide information on the potential use of the identified microbes as probiotics to maintain a healthy pregnancy and lactation.
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Gebrayel P, Nicco C, Al Khodor S, Bilinski J, Caselli E, Comelli EM, Egert M, Giaroni C, Karpinski TM, Loniewski I, Mulak A, Reygner J, Samczuk P, Serino M, Sikora M, Terranegra A, Ufnal M, Villeger R, Pichon C, Konturek P, Edeas M. Microbiota medicine: towards clinical revolution. J Transl Med 2022; 20:111. [PMID: 35255932 PMCID: PMC8900094 DOI: 10.1186/s12967-022-03296-9] [Citation(s) in RCA: 100] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/03/2022] [Indexed: 02/07/2023] Open
Abstract
The human gastrointestinal tract is inhabited by the largest microbial community within the human body consisting of trillions of microbes called gut microbiota. The normal flora is the site of many physiological functions such as enhancing the host immunity, participating in the nutrient absorption and protecting the body against pathogenic microorganisms. Numerous investigations showed a bidirectional interplay between gut microbiota and many organs within the human body such as the intestines, the lungs, the brain, and the skin. Large body of evidence demonstrated, more than a decade ago, that the gut microbial alteration is a key factor in the pathogenesis of many local and systemic disorders. In this regard, a deep understanding of the mechanisms involved in the gut microbial symbiosis/dysbiosis is crucial for the clinical and health field. We review the most recent studies on the involvement of gut microbiota in the pathogenesis of many diseases. We also elaborate the different strategies used to manipulate the gut microbiota in the prevention and treatment of disorders. The future of medicine is strongly related to the quality of our microbiota. Targeting microbiota dysbiosis will be a huge challenge.
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Rold LS, Bundgaard-Nielsen C, Niemann Holm-Jacobsen J, Glud Ovesen P, Leutscher P, Hagstrøm S, Sørensen S. Characteristics of the gut microbiome in women with gestational diabetes mellitus: A systematic review. PLoS One 2022; 17:e0262618. [PMID: 35025980 PMCID: PMC8757951 DOI: 10.1371/journal.pone.0262618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 12/29/2021] [Indexed: 12/15/2022] Open
Abstract
Background The incidence of women developing gestational diabetes mellitus (GDM) is increasing, which is associated with an increased risk of type 2 diabetes mellitus (T2DM) for both mother and child. Gut microbiota dysbiosis may contribute to the pathogenesis of both GDM and the accompanying risk of T2DM. Thus, a better understanding of the microbial communities associated with GDM could offer a potential target for intervention and treatment in the future. Therefore, we performed a systematic review to investigate if the GDM women have a distinct gut microbiota composition compared to non-GDM women. Methods We identified 21 studies in a systematic literature search of Embase and PubMed up to February 24, 2021. Data on demographics, methodology and identified microbial metrics were extracted. The quality of each study was assessed according to the Newcastle-Ottawa Scale. Results Sixteen of the studies did find a GDM-associated gut microbiota, although no consistency could be seen. Only Collinsella and Blautia showed a tendency to be increased in GDM women, whereas the remaining genera were significantly different in opposing directions. Conclusion Although most of the studies found an association between GDM and gut microbiota dysbiosis, no overall GDM-specific gut microbiota could be identified. All studies in the second trimester found a difference between GDM and non-GDM women, indicating that dysbiosis is present at the time of diagnosis. Nevertheless, it is still unclear when the dysbiosis develops, as no consensus could be seen between the studies investigating the gut microbiota in the first trimester of pregnancy. However, studies varied widely concerning methodology and study design, which might explain the highly heterogeneous gut microbiota compositions between studies. Therefore, future studies need to include multiple time points and consider possible confounding factors such as ethnicity, pre-pregnancy body mass index, and GDM treatment.
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Affiliation(s)
- Louise Søndergaard Rold
- Centre for Clinical Research, North Denmark Regional Hospital, Hjørring, Denmark
- Steno Diabetes Centre North Denmark, Aalborg, Denmark
| | - Caspar Bundgaard-Nielsen
- Centre for Clinical Research, North Denmark Regional Hospital, Hjørring, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Per Glud Ovesen
- Department of Obstetrics and Gynecology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Leutscher
- Centre for Clinical Research, North Denmark Regional Hospital, Hjørring, Denmark
- Steno Diabetes Centre North Denmark, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Søren Hagstrøm
- Centre for Clinical Research, North Denmark Regional Hospital, Hjørring, Denmark
- Steno Diabetes Centre North Denmark, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Pediatrics, Aalborg University Hospital, Aalborg, Denmark
| | - Suzette Sørensen
- Centre for Clinical Research, North Denmark Regional Hospital, Hjørring, Denmark
- Steno Diabetes Centre North Denmark, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- * E-mail:
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Zhou Z, Sun B, Yu D, Zhu C. Gut Microbiota: An Important Player in Type 2 Diabetes Mellitus. Front Cell Infect Microbiol 2022; 12:834485. [PMID: 35242721 PMCID: PMC8886906 DOI: 10.3389/fcimb.2022.834485] [Citation(s) in RCA: 85] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/24/2022] [Indexed: 01/10/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is one of the common metabolic diseases in the world. Due to the rise in morbidity and mortality, it has become a global health problem. To date, T2DM still cannot be cured, and its intervention measures mainly focus on glucose control as well as the prevention and treatment of related complications. Interestingly, the gut microbiota plays an important role in the development of metabolic diseases, especially T2DM. In this review, we introduce the characteristics of the gut microbiota in T2DM population, T2DM animal models, and diabetic complications. In addition, we describe the molecular mechanisms linking host and the gut microbiota in T2DM, including the host molecules that induce gut microbiota dysbiosis, immune and inflammatory responses, and gut microbial metabolites involved in pathogenesis. These findings suggest that we can treat T2DM and its complications by remodeling the gut microbiota through interventions such as drugs, probiotics, prebiotics, fecal microbiota transplantation (FMT) and diets.
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Affiliation(s)
- Zheng Zhou
- Department of Chinese Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Bao Sun
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China
- Institution of Clinical Pharmacy, Central South University, Changsha, China
| | - Dongsheng Yu
- Department of Chinese Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Dongsheng Yu, ; Chunsheng Zhu,
| | - Chunsheng Zhu
- Department of Chinese Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Dongsheng Yu, ; Chunsheng Zhu,
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Wu N, Zhou J, Mo H, Mu Q, Su H, Li M, Yu Y, Liu A, Zhang Q, Xu J, Yu W, Liu P, Liu G. The Gut Microbial Signature of Gestational Diabetes Mellitus and the Association With Diet Intervention. Front Cell Infect Microbiol 2022; 11:800865. [PMID: 35096649 PMCID: PMC8795975 DOI: 10.3389/fcimb.2021.800865] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/24/2021] [Indexed: 12/11/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is a high-risk pregnancy complication that is associated with metabolic disorder phenotypes, such as abnormal blood glucose and obesity. The link between microbiota and diet management contributes to metabolic homeostasis in GDM. Therefore, it is crucial to understand the structure of the gut microbiota in GDM and to explore the effect of dietary management on the microbiota structure. In this study, we analyzed the composition of the gut microbiota between 27 GDM and 30 healthy subjects at two time points using Illumina HiSeq 2500 platform. The taxonomy analyses suggested that the overall bacteria clustered by diabetes status, rather than diet intervention. Of particular interest, the phylum Acidobacteria in GDM was significantly increased, and positively correlated with blood glucose levels. Moreover, Partial least-squares discriminant analysis (PLS-DA) revealed that certain genera in the phyla Firmicutes, Bacteroidetes, Proteobacteria, and Lentisphaerae characterized the GDM gut microbiota. Correlation analysis indicated that blood glucose levels and BMI index were correlated with the relative abundance of SCFAS-producing genera. Through the comparison between the GDM and healthy samples with or without diet intervention, we discovered that the role of short-term diet management in GDM processes is associated with the change in the Firmicutes/Bacteroidetes ratio and some specific taxa, rather than an alternative gut microbial pattern. Our study have important implications for understanding the beneficial effects of diet intervention on the specific gut microbiota and thus possibly their metabolism in pregnant women with GDM.
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Affiliation(s)
- Na Wu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Jingwei Zhou
- Department of Gynecology and Obstetrics, Peking University People's Hospital, Beijing, China
| | - Heng Mo
- Department of Stomatology, Peking University People's Hospital, Beijing, China
| | - Qing Mu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Huiting Su
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Mei Li
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Yimeng Yu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Aiyu Liu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Qi Zhang
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Jun Xu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Weidong Yu
- Department of Central Laboratory & Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China
| | - Peng Liu
- Department of Clinical Nutrition, Peking University People's Hospital, Beijing, China
| | - Guoli Liu
- Department of Gynecology and Obstetrics, Peking University People's Hospital, Beijing, China
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Jiang B, Zhang J, Sun X, Yang C, Cheng G, Xu M, Li S, Wang L. Circulating exosomal hsa_circRNA_0039480 is highly expressed in gestational diabetes mellitus and may be served as a biomarker for early diagnosis of GDM. J Transl Med 2022; 20:5. [PMID: 34980149 PMCID: PMC8722188 DOI: 10.1186/s12967-021-03195-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 12/14/2021] [Indexed: 02/08/2023] Open
Abstract
Background Gestational diabetes mellitus (GDM) seriously affects the health of mothers and babies, and there are still no effective early diagnostic markers. Therefore, it is necessary to find diagnostic biomarkers for screening GDM in early pregnancy. Circular RNA (circRNA) is more stable than linear RNA, and can be encapsulated in exosomes and participate in the pathological process of various diseases, which makes it a better candidate biomarker for various diseases. In this study, we attempted to identify the exosomal circRNA biomarkers for detecting early GDM. Methods We performed microarray analysis to compare the plasma exosomal circRNA expression profiles of three GDM patients 48 h before and 48 h after delivery. The repeatability of the expression of circRNAs were randomly validated by RT-PCR analysis. Pearson correlation analysis was applied to evaluate the correlation between circRNAs and OGTT level. ROC curve was established to assess the diagnostic value of circRNAs for GDM at different stages. Results Plasma exosomal hsa_circRNA_0039480 and hsa_circRNA_0026497 were highly expressed in GDM patients before delivery (P < 0.05). The hsa_circRNA_0039480 expression was higher for GDM group than NGT group at different stages, and was also positively correlated with OGTT during the second trimester (P < 0.05). The expression of hsa_circRNA_0026497 was higher for GDM group during the third, and second trimesters. And there was a strong correlation between two circRNAs in GDM patients during the first-trimester (r = 0.496, P = 0.014). Hsa_circRNA_0039480 showed significant diagnostic value in the first, second, and third trimesters of pregnancy (AUC = 0.704, P = 0.005; AUC = 0.898, P < 0.001 and AUC = 0.698, P = 0.001, respectively). Notably, the combination of hsa_circRNA_0039480 and hsa_circRNA_0026497 exhibited promising discriminative effect on GDM in the first trimesters (AUC = 0.754, P < 0.001). Conclusion Plasma exosomal hsa_cirRNA_0039480 is highly expressed in GDM patients at different stages and may be served as a candidate biomarker for early detection of GDM. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03195-5.
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Affiliation(s)
- Bao Jiang
- Obstetric Clinic The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Junfeng Zhang
- Jinan Maternity and Child Health Care Hospital, Jinan, Shandong, China
| | - Xiubin Sun
- Department of Biostatistics, School of Public Health, Cheeloo Collage of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Chunyan Yang
- Department of Pediatrics, Liaocheng People's Hospital, Liaocheng City, 252000, China
| | - Guanghui Cheng
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Mengru Xu
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China
| | - Siyuan Li
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated With Shandong University, Jinan, 250001, China
| | - Lina Wang
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China.
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Vavreckova M, Galanova N, Kostovcik M, Krystynik O, Ivanovova E, Roubalova R, Jiraskova Zakostelska Z, Friedecky D, Friedecka J, Haluzik M, Karasek D, Kostovcikova K. Specific gut bacterial and fungal microbiota pattern in the first half of pregnancy is linked to the development of gestational diabetes mellitus in the cohort including obese women. Front Endocrinol (Lausanne) 2022; 13:970825. [PMID: 36133313 PMCID: PMC9484836 DOI: 10.3389/fendo.2022.970825] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
AIMS Gestation is linked to changes in gut microbiota composition and function. Since gestational diabetes mellitus (GDM) can develop at any time of the pregnancy, we stratified the women into four groups according to the time and test used for the diagnosis. We focused on the gut microbiota pattern in early pregnancy to detect changes which could be linked to later GDM development. METHODS We collected stool samples from 104 pregnant women including obese individuals (first trimester body mass index median was 26.73). We divided the women into four groups according to routine screening of fasting plasma glucose (FPG) levels and oral glucose tolerance test (oGTT) in the first and third trimesters, respectively. We processed the stool samples for bacterial 16S rRNA and fungal ITS1 genes sequencing by Illumina MiSeq approach and correlated the gut microbiota composition with plasma short-chain fatty acid levels (SCFA). RESULTS We found that gut bacterial microbiota in the first trimester significantly differs among groups with different GDM onset based on unweighted UniFrac distances (p=0.003). Normoglycemic women had gut microbiota associated with higher abundance of family Prevotellaceae, and order Fusobacteriales, and genus Sutterella. Women diagnosed later during pregnancy either by FGP levels or by oGTT had higher abundances of genera Enterococcus, or Erysipelotrichaceae UCG-003, respectively. We observed significant enrichment of fungal genus Mucor in healthy pregnant women whereas Candida was more abundant in the group of pregnant women with impaired oGTT. Using correlation analysis, we found that Holdemanella negatively correlated with Blautia and Candida abundances and that Escherichia/Shigella abundance positively correlated and Subdoligranulum negatively correlated with plasma lipid levels. Coprococcus, Akkermansia, Methanobrevibacter, Phascolarctobacterium and Alistipes positively correlated with acetate, valerate, 2-hydroxybutyrate and 2-methylbutyrate levels, respectively, in women with GDM. CONCLUSIONS We conclude that there are significant differences in the gut microbiota composition between pregnant women with and without GDM already at the early stage of pregnancy in our cohort that included also overweight and obese individuals. Specific microbial pattern associated with GDM development during early pregnancy and its correlation to plasma lipid or SCFA levels could help to identify women in higher risk of GDM development.
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Affiliation(s)
- Marketa Vavreckova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Natalie Galanova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Martin Kostovcik
- Laboratory of Fungal Genetics and Metabolism, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Ondrej Krystynik
- Third Department of Internal Medicine – Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc, Olomouc, Czechia
| | - Eliska Ivanovova
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czechia
| | - Radka Roubalova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Zuzana Jiraskova Zakostelska
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - David Friedecky
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czechia
| | - Jaroslava Friedecka
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czechia
| | - Martin Haluzik
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - David Karasek
- Third Department of Internal Medicine – Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc, Olomouc, Czechia
| | - Klara Kostovcikova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
- *Correspondence: Klara Kostovcikova,
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Yan M, Guo X, Ji G, Huang R, Huang D, Li Z, Zhang D, Chen S, Cao R, Yang X, Wu W. Mechanismbased role of the intestinal microbiota in gestational diabetes mellitus: A systematic review and meta-analysis. Front Immunol 2022; 13:1097853. [PMID: 36936475 PMCID: PMC10020587 DOI: 10.3389/fimmu.2022.1097853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/15/2022] [Indexed: 03/06/2023] Open
Abstract
Background Metabolic disorders caused by intestinal microbial dysregulation are considered to be important causes of gestational diabetes mellitus (GDM). Increasing evidence suggests that the diversity and composition of gut microbes are altered in disease states, yet the critical microbes and mechanisms of disease regulation remain unidentified. Methods PubMed® (National Library of Medicine, Bethesda, MD, USA), Embase® (Elsevier, Amsterdam, the Netherlands), the Web of Science™ (Clarivate™, Philadelphia, PA, USA), and the Cochrane Library databases were searched to identify articles published between 7 July 2012 and 7 July 2022 reporting on case-control and controlled studies that analyzed differences in enterobacteria between patients with GDM and healthy individuals. Information on the relative abundance of enterobacteria was collected for comparative diversity comparison, and enterobacterial differences were analyzed using random effects to calculate standardized mean differences at a p-value of 5%. Results A total of 22 studies were included in this review, involving a total of 965 GDM patients and 1,508 healthy control participants. Alpha diversity did not differ between the participant groups, but beta diversity was significantly different. Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were the dominant bacteria, but there was no significant difference between the two groups. Qualitative analysis showed differences between the groups in the Firmicutes/Bacteroidetes ratio, Blautia, and Collinsella, but these differences were not statistically different. Conclusion Enterobacterial profiles were significantly different between the GDM and non-GDM populations. Alpha diversity in patients with GDM is similar to that in healthy people, but beta diversity is significantly different. Firmicutes/Bacteroidetes ratios were significantly increased in GDM, and this, as well as changes in the abundance of species of Blautia and Collinsella, may be responsible for changes in microbiota diversity. Although the results of our meta-analysis are encouraging, more well-conducted studies are needed to clarify the role of the gut microbiome in GDM. The systematic review was registered with PROSPERO (https://www.crd.york.ac.uk/prospero/) as CRD42022357391.
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Affiliation(s)
- Min Yan
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaoying Guo
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Guiyuan Ji
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Rui Huang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Dongyi Huang
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Zhifeng Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Dantao Zhang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Siyi Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Rong Cao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xingfen Yang
- School of Public Health, Southern Medical University, Guangzhou, China
- *Correspondence: Xingfen Yang, ; Wei Wu,
| | - Wei Wu
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- *Correspondence: Xingfen Yang, ; Wei Wu,
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48
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Farhat S, Hemmatabadi M, Ejtahed HS, Shirzad N, Larijani B. Microbiome alterations in women with gestational diabetes mellitus and their offspring: A systematic review. Front Endocrinol (Lausanne) 2022; 13:1060488. [PMID: 36568098 PMCID: PMC9772279 DOI: 10.3389/fendo.2022.1060488] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022] Open
Abstract
AIMS Gestational diabetes mellitus (GDM) is a metabolic disorder that might predispose pregnant women to develop type 2 Diabetes Mellitus or lead to severe adverse outcomes in their offspring. One of the factors that have been thought to be involved in the pathology behind this disorder is the microbiome. In this systematic review, we comprehensively review the documents regarding the microbiota alterations in different tracts of pregnant women with GDM and their offspring. METHODS A comprehensive search was conducted in major databases including MEDLINE (PubMed), Scopus, and Web of sciences up to August 2021. Data on the demographics, methodology, and microbiome alterations were extracted and classified according to the type of microbiome in pregnant women with GDM and their offspring. The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS). RESULTS In 49 articles which were retrieved, the findings were variable on the level of changes in alpha and beta diversity, enrichment or depletion in phyla, genera, species and OTUs, in each microbiome type. Although there were some inconsistencies among the results, a pattern of significant alterations was seen in the gut, oral, vaginal microbiome of women with GDM and gut, oral, and placental microbiome of their offspring. CONCLUSION Even though the alteration of the microbiome of the different tracts was seen in the cases of GDM, the inconsistency among the studies prevents us from identifying unique pattern. However, the results seem promising and further studies that overcome the confounding factors related to the demographics and methodology are needed.
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Affiliation(s)
- Sara Farhat
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahboobeh Hemmatabadi
- Endocrine Research Center, Valiasr Hospital, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
| | - Hanieh-Sadat Ejtahed
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- *Correspondence: Hanieh-Sadat Ejtahed, ; Nooshin Shirzad,
| | - Nooshin Shirzad
- Endocrine Research Center, Valiasr Hospital, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- *Correspondence: Hanieh-Sadat Ejtahed, ; Nooshin Shirzad,
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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49
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Influence of Maternal Microbiome and Inflammatory Response in Preterm Birth: Recent Aspects of the Prevention of Preterm Birth. MICROBIOLOGY RESEARCH 2021. [DOI: 10.3390/microbiolres13010001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Preterm birth (PTB) is a global health issue and one of the most challenging problems affecting 12.9 million births worldwide. PTB is a multi-etiological disease and remains incompletely understood. The major cause of PTB is infection or inflammation and disruption of the vaginal microbiome, which affects the maternal immunologic response leading to PTB. The vaginal microbiome composition changes by a shift in the community are typically dominated by Lactobacillus during pregnancy. There are complex interactions between the maternal microbiome in pregnancy and the development of PTB, therefore, researchers have struggled to connect the maternal microbiome with the dysregulation of the maternal immune response in cases of PTB. The host microbiome affects alterations of the microorganisms with external stimuli such as disease, nutrition, immunity, and behavior. In this review, we discuss the complex association between the maternal microbiome and the risk of PTB and also focus on recent aspects of the prevention of PTB.
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50
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Gámez-Valdez JS, García-Mazcorro JF, Montoya-Rincón AH, Rodríguez-Reyes DL, Jiménez-Blanco G, Rodríguez MTA, de Vaca RPC, Alcorta-García MR, Brunck M, Lara-Díaz VJ, Licona-Cassani C. Differential analysis of the bacterial community in colostrum samples from women with gestational diabetes mellitus and obesity. Sci Rep 2021; 11:24373. [PMID: 34934118 PMCID: PMC8692321 DOI: 10.1038/s41598-021-03779-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 12/06/2021] [Indexed: 02/07/2023] Open
Abstract
Gestational Diabetes Mellitus (GDM) and obesity affect the functioning of multiple maternal systems and influence colonization of the newborn gastrointestinal through the breastmilk microbiota (BMM). It is currently unclear how GDM and obesity affect the human BMM composition. Here, we applied 16S-rRNA high-throughput sequencing to human colostrum milk to characterize BMM taxonomic changes in a cohort of 43 individuals classified in six subgroups according to mothers patho-physiological conditions (healthy control (n = 18), GDM (n = 13), or obesity (n = 12)) and newborn gender. Using various diversity indicators, including Shannon/Faith phylogenetic index and UniFrac/robust Aitchison distances, we evidenced that BMM composition was influenced by the infant gender in the obesity subgroup. In addition, the GDM group presented higher microbial diversity compared to the control group. Staphylococcus, Corynebacterium 1, Anaerococcus and Prevotella were overrepresented in colostrum from women with either obesity or GDM, compared to control samples. Finally, Rhodobacteraceae was distinct for GDM and 5 families (Bdellovibrionaceae, Halomonadaceae, Shewanellaceae, Saccharimonadales and Vibrionaceae) were distinct for obesity subgroups with an absolute effect size greater than 1 and a q-value ≤ 0.05. This study represents the first effort to describe the impact of maternal GDM and obesity on BMM.
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Affiliation(s)
- J S Gámez-Valdez
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 sur, Monterrey, NL, 64849, México
| | - J F García-Mazcorro
- Research and Development, MNA de México, San Nicolás de los Garza, NL, México
| | - A H Montoya-Rincón
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México
| | - D L Rodríguez-Reyes
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México
| | - G Jiménez-Blanco
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México
| | - M T Alanís Rodríguez
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México
| | - R Pérez-Cabeza de Vaca
- Coordinación de Investigación y División de Investigación Biomédica, C.M.N. "20 de Noviembre", ISSSTE, Ciudad de México, México
| | - M R Alcorta-García
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México
- Departamento de Neonatología, Hospital Regional Materno Infantil, Servicios de Salud de Nuevo León, Guadalupe, México
| | - M Brunck
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 sur, Monterrey, NL, 64849, México
- Division of Experimental Medicine, The Institute for Obesity Research, Tecnológico de Monterrey, Monterrey, NL, México
| | - V J Lara-Díaz
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, NL, México
| | - C Licona-Cassani
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501 sur, Monterrey, NL, 64849, México.
- Division of Integrative Biology, The Institute for Obesity Research, Tecnológico de Monterrey, Monterrey, NL, México.
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