Pub Date : 2022-03-01DOI: 10.1016/j.medmic.2021.100049
Qiong-qiong Zhang , Rui Chen , Meng Li , Zhen Zeng , Lei Zhang , Qin-ping Liao
The surface of the female lower genital tract is covered with squamous epithelium, and some bacteria and fungi reside in the cavity. Among them, the dominant Lactobacillus maintain the acidic environment of the vagina. The acidic environment, squamous epithelium barrier, mucus and innate immune response together resist the invasion of pathogens and local homeostasis. Bacterial vaginosis (BV) is a disorder of the vaginal microbiota, which is characterized by a shift in the vaginal flora from the dominant Lactobacillus to a polymicrobial anaerobic flora accompanied by an increase in pH > 4.5. Its high recurrence rate, obvious clinical symptoms, and possible adverse pregnancy outcome seriously disturb women's healthy life. However, its pathogenesis is still elusive. The vaginal microenvironment includes not only microbiota, but also microbially and host-produced metabolites, and vaginal local immunity. Given the inseparable relationship between the microbiota and its metabolites and the immune response, it is important to study how these interactions regulate vaginal local immunity to resist pathogens. In this review, we will discuss the main theories of BV etiology, which eventually involves the interaction between BV-related pathogens, small molecular metabolites, and host immune responses in the vagina.
{"title":"The interplay between microbiota, metabolites, immunity during BV","authors":"Qiong-qiong Zhang , Rui Chen , Meng Li , Zhen Zeng , Lei Zhang , Qin-ping Liao","doi":"10.1016/j.medmic.2021.100049","DOIUrl":"10.1016/j.medmic.2021.100049","url":null,"abstract":"<div><p>The surface of the female lower genital tract is covered with squamous epithelium, and some bacteria and fungi reside in the cavity. Among them, the dominant <em>Lactobacillus</em> maintain the acidic environment of the vagina. The acidic environment, squamous epithelium barrier, mucus and innate immune response together resist the invasion of pathogens and local homeostasis. Bacterial vaginosis (BV) is a disorder of the vaginal microbiota, which is characterized by a shift in the vaginal flora from the dominant <em>Lactobacillus</em> to a polymicrobial anaerobic flora accompanied by an increase in pH > 4.5. Its high recurrence rate, obvious clinical symptoms, and possible adverse pregnancy outcome seriously disturb women's healthy life. However, its pathogenesis is still elusive. The vaginal microenvironment includes not only microbiota, but also microbially and host-produced metabolites, and vaginal local immunity. Given the inseparable relationship between the microbiota and its metabolites and the immune response, it is important to study how these interactions regulate vaginal local immunity to resist pathogens. In this review, we will discuss the main theories of BV etiology, which eventually involves the interaction between BV-related pathogens, small molecular metabolites, and host immune responses in the vagina.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"11 ","pages":"Article 100049"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097821000173/pdfft?md5=27897a9f5c20d30acf9a607fd8d89187&pid=1-s2.0-S2590097821000173-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42322076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Intrauterine adhesions (IUAs) are important causes of female infertility, mainly but not always caused by iatrogenic endometrial injury. The microbiome of the female reproductive tract, including the vagina and uterine cavity, plays an important role in health and disease. Immune regulation imbalance caused by reproductive tract microecological disorders can act in the formation mechanism of IUAs. Here we collected clinical laboratory indicators, the vaginal secretions and uterine secretions of 6 women with and 8 women without IUAs, with a history of curettage. Vaginal and uterine cavity microbes were detected by high-throughput sequencing technology. Compared with the women without IUAs, the proportion of Lactobacillus in vaginal microbes was decreased and the proportion of Bacteroides was increased in the IUAs. The α-diversity index in the vaginal microbiome was significantly positively correlated with the hematocrit and erythrocyte count (P <0.05). These clinical and microbiological indicators could be used to indicate the occurrence of IUAs, so this study has clinical guiding significance for detecting and preventing them.
{"title":"Biochemical indicators and vaginal microecological abnormalities indicate the occurrence of intrauterine adhesions","authors":"Xiaoqing Li , Fang Xu , Xiaoli Sha, Xianyan Chen, Qiong hui Pan, Xuefen He, Hongping Zhang, Yuanyuan Zheng","doi":"10.1016/j.medmic.2021.100050","DOIUrl":"https://doi.org/10.1016/j.medmic.2021.100050","url":null,"abstract":"<div><p>Intrauterine adhesions (IUAs) are important causes of female infertility, mainly but not always caused by iatrogenic endometrial injury. The microbiome of the female reproductive tract, including the vagina and uterine cavity, plays an important role in health and disease. Immune regulation imbalance caused by reproductive tract microecological disorders can act in the formation mechanism of IUAs. Here we collected clinical laboratory indicators, the vaginal secretions and uterine secretions of 6 women with and 8 women without IUAs, with a history of curettage. Vaginal and uterine cavity microbes were detected by high-throughput sequencing technology. Compared with the women without IUAs, the proportion of <em>Lactobacillus</em> in vaginal microbes was decreased and the proportion of <em>Bacteroides</em> was increased in the IUAs. The α-diversity index in the vaginal microbiome was significantly positively correlated with the hematocrit and erythrocyte count (<em>P</em> <0.05). These clinical and microbiological indicators could be used to indicate the occurrence of IUAs, so this study has clinical guiding significance for detecting and preventing them.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"11 ","pages":"Article 100050"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097821000185/pdfft?md5=a1bf9fc3a779d830757dbe414fb22f00&pid=1-s2.0-S2590097821000185-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91778761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1016/j.medmic.2021.100048
Yuzhu Chen, Xiaoquan Su
Microbiome biomarker-based modeling has been widely used in classifying health states. However, many diseases do not have explicit biomarkers, or exhibit shortages in detection accuracy using specific species. Based on microbiome big data and cutting-edge computing engine, here we report the search-based strategy of health status detection for shotgun metagenomes. Comparing the species-level profiles against large-scale metagenomes, outlier samples are screened out as unhealthy, and their detailed disease types can be identified by top matches. Benchmarking on a multi-cohort dataset with over 3,000 metagenomes, the search-based approach achieved a promising overall accuracy that was superior to marker-based models constructed by random forest (RF), supporting vector machine (SVM) and extreme gradient boosting (XGBoost). More importantly, the search-based method also featured a balanced performance on different diseases. Hence, this case study further demonstrates the potential and capability of metagenome big data in human health, as well as moves one-step forward of search-based approach in microbiome research and application.
{"title":"Search-based health status detection and disease classification using species-level profiles of metagenomes","authors":"Yuzhu Chen, Xiaoquan Su","doi":"10.1016/j.medmic.2021.100048","DOIUrl":"https://doi.org/10.1016/j.medmic.2021.100048","url":null,"abstract":"<div><p>Microbiome biomarker-based modeling has been widely used in classifying health states. However, many diseases do not have explicit biomarkers, or exhibit shortages in detection accuracy using specific species. Based on microbiome big data and cutting-edge computing engine, here we report the search-based strategy of health status detection for shotgun metagenomes. Comparing the species-level profiles against large-scale metagenomes, outlier samples are screened out as unhealthy, and their detailed disease types can be identified by top matches. Benchmarking on a multi-cohort dataset with over 3,000 metagenomes, the search-based approach achieved a promising overall accuracy that was superior to marker-based models constructed by random forest (RF), supporting vector machine (SVM) and extreme gradient boosting (XGBoost). More importantly, the search-based method also featured a balanced performance on different diseases. Hence, this case study further demonstrates the potential and capability of metagenome big data in human health, as well as moves one-step forward of search-based approach in microbiome research and application.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"11 ","pages":"Article 100048"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097821000161/pdfft?md5=f305f77b53e2e473ac639d169582e601&pid=1-s2.0-S2590097821000161-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91778762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-18DOI: 10.21203/rs.3.rs-1366478/v1
Yu-Ning Chen, Jieying Luo, Haowen Li, R. Fang, Ruiheng Zhang, Yue-ming Liu, Yang Li, Wenbin Wei, J. Xiu
Background: Microbiomes have been identified in various tumor types and could affect tumor progression and treatment. As the most prevalent primary malignant eyetumor in adults, uveal melanoma (UM) has not been explored regarding its endogenous microbiome. Plaque radiotherapy (PRT) is the gold standard for the treatment of UM. Hereby, we recruited 71 UM patients, sequenced the 16S rRNA gene of their tumor tissues, and analyzed the association between UM microbiome and disease phenotypes.Results: Clear bacterial signals were observed in UM tissues by using in situ fluorescence hybridization. 523 bacterial species passed strict decontamination against 58 environmental control samples in 16S rRNA gene analysis, and these species formed three distinct types by unsupervised clustering. The UM microbiome types were significantly associated with PRT. A biomarker analysis showed that Pseudomonas and Sphingomonas were significantly enriched in the radiation group (RG) compared to the non-radiation group (NRG). A kind of radiation-resistant bacteria had a significantly higher positive rate in tumor tissues that underwent radiotherapy. We found that radioresistant bacteria Deinococcus was associated with larger tumor and later tumor stage, while Pedobacter, Bradyrhizobium, Variovorax, Pseudomonas and Stenotrophomonas were associated with later metastasis. Conclusion: There was an endogenous microbiome in UM tissues, and the distribution of microbiota was correlated with PRT and clinical features.
{"title":"Microbiome typing in uveal melanoma is associated with plaque radiotherapy","authors":"Yu-Ning Chen, Jieying Luo, Haowen Li, R. Fang, Ruiheng Zhang, Yue-ming Liu, Yang Li, Wenbin Wei, J. Xiu","doi":"10.21203/rs.3.rs-1366478/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-1366478/v1","url":null,"abstract":"\u0000 Background: Microbiomes have been identified in various tumor types and could affect tumor progression and treatment. As the most prevalent primary malignant eyetumor in adults, uveal melanoma (UM) has not been explored regarding its endogenous microbiome. Plaque radiotherapy (PRT) is the gold standard for the treatment of UM. Hereby, we recruited 71 UM patients, sequenced the 16S rRNA gene of their tumor tissues, and analyzed the association between UM microbiome and disease phenotypes.Results: Clear bacterial signals were observed in UM tissues by using in situ fluorescence hybridization. 523 bacterial species passed strict decontamination against 58 environmental control samples in 16S rRNA gene analysis, and these species formed three distinct types by unsupervised clustering. The UM microbiome types were significantly associated with PRT. A biomarker analysis showed that Pseudomonas and Sphingomonas were significantly enriched in the radiation group (RG) compared to the non-radiation group (NRG). A kind of radiation-resistant bacteria had a significantly higher positive rate in tumor tissues that underwent radiotherapy. We found that radioresistant bacteria Deinococcus was associated with larger tumor and later tumor stage, while Pedobacter, Bradyrhizobium, Variovorax, Pseudomonas and Stenotrophomonas were associated with later metastasis. Conclusion: There was an endogenous microbiome in UM tissues, and the distribution of microbiota was correlated with PRT and clinical features.","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45550017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 10.1016/j.medmic.2021.100047
Wei Qing, Yiya Shi, Hongwei Zhou, Muxuan Chen
Currently, the etiology of preeclampsia (PE) has not been comprehensively clarified. Accumulating evidence indicated that gut microbiota is associated with the onset of PE. Herein, a systematic review was conducted to explore the dysbiosis of gut microbiota in PE patients compared with healthy controls (HCs). Publications were retrieved from Medline, EMBASE, Web of Science and Scopus. Studies comparing the gut microbiota in PE patients to HCs using culture-independent methods were included. Independent quality assessment and data extraction was performed according to PRISMA statement and Newcastle-Ottawa Scale (NOS). In total, six studies with an overall sample size of 416 PE patients and 704 HCs were included. In terms of alpha- and beta-diversity, consistent results reflecting the alteration of gut microbiota in PE patients. Furthermore, Fusobacterium and Ruminococcus enriched, while Lachnospira, Akkermansia, Faecalibacterium, Bifidobacterium and Alistipes were depleted in PE. This systematic review demonstrates significant dysbiosis of gut microbiota in PE patients and confirms that that the possible correlations between gut microbiota dysbiosis and PE onset. However, heterogeneity in results was also identified, alluding more well-designed studies are warranted. Above all, these evidence demonstrates that the gut microbiota may be a potential treatment and prevention target for PE.
目前,先兆子痫(PE)的病因尚未得到全面的阐明。越来越多的证据表明,肠道微生物群与PE的发病有关。本文进行了一项系统综述,探讨PE患者与健康对照组(hc)肠道菌群失调的情况。出版物检索自Medline, EMBASE, Web of Science和Scopus。采用非培养方法比较PE患者和hcc患者肠道微生物群的研究包括在内。根据PRISMA量表和Newcastle-Ottawa Scale (NOS)进行独立的质量评估和数据提取。总共纳入了6项研究,总样本量为416例PE患者和704例hcc患者。在α -和β -多样性方面,一致的结果反映了PE患者肠道微生物群的改变。此外,PE中Fusobacterium和Ruminococcus富集,而Lachnospira、Akkermansia、Faecalibacterium、Bifidobacterium和Alistipes缺失。本系统综述显示PE患者存在明显的肠道菌群失调,并证实肠道菌群失调与PE发病之间可能存在相关性。然而,结果的异质性也被确定,暗示有必要进行更多设计良好的研究。总之,这些证据表明,肠道微生物群可能是PE的潜在治疗和预防目标。
{"title":"Gut microbiota dysbiosis in patients with preeclampsia: A systematic review","authors":"Wei Qing, Yiya Shi, Hongwei Zhou, Muxuan Chen","doi":"10.1016/j.medmic.2021.100047","DOIUrl":"10.1016/j.medmic.2021.100047","url":null,"abstract":"<div><p>Currently, the etiology of preeclampsia (PE) has not been comprehensively clarified. Accumulating evidence indicated that gut microbiota is associated with the onset of PE. Herein, a systematic review was conducted to explore the dysbiosis of gut microbiota in PE patients compared with healthy controls (HCs). Publications were retrieved from Medline, EMBASE, Web of Science and Scopus. Studies comparing the gut microbiota in PE patients to HCs using culture-independent methods were included. Independent quality assessment and data extraction was performed according to PRISMA statement and Newcastle-Ottawa Scale (NOS). In total, six studies with an overall sample size of 416 PE patients and 704 HCs were included. In terms of alpha- and beta-diversity, consistent results reflecting the alteration of gut microbiota in PE patients. Furthermore, <em>Fusobacterium</em> and <em>Ruminococcus</em> enriched, while <em>Lachnospira</em>, <em>Akkermansia</em>, <em>Faecalibacterium</em>, <em>Bifidobacterium</em> and <em>Alistipes</em> were depleted in PE. This systematic review demonstrates significant dysbiosis of gut microbiota in PE patients and confirms that that the possible correlations between gut microbiota dysbiosis and PE onset. However, heterogeneity in results was also identified, alluding more well-designed studies are warranted. Above all, these evidence demonstrates that the gut microbiota may be a potential treatment and prevention target for PE.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"10 ","pages":"Article 100047"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S259009782100015X/pdfft?md5=0d201c282bbad5a6f8ed2fd95341db40&pid=1-s2.0-S259009782100015X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44092366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 10.1016/j.medmic.2021.100048
Yuzhu Chen, Xiaoquan Su
{"title":"Search-based health status detection and disease classification using species-level profiles of shotgun metagenomes","authors":"Yuzhu Chen, Xiaoquan Su","doi":"10.1016/j.medmic.2021.100048","DOIUrl":"https://doi.org/10.1016/j.medmic.2021.100048","url":null,"abstract":"","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45326870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.1016/j.medmic.2021.100037
Zhuye Jie , Suisha Liang , Qiuxia Ding , Fei Li , Xiaohuan Sun , Yuxiang Lin , Peishan Chen , Kaiye Cai , Hongcheng Zhou , Haorong Lu , Xiaohan Wang , Tao Zhang , Liang Xiao , Huanming Yang , Jian Wang , Yong Hou , Karsten Kristiansen , Huijue Jia , Xun Xu
Most of the disease studies for the gut microbiome have collected cases and control samples from the elderly or the middle-aged. Despite general interest in microbiome health, it is not known how microbial biomarkers from metagenome-wide association studies (MWAS) would perform in a cohort of young individuals, who would be largely free of chronic diseases, as well as medication. Here we analyze high-depth fecal metagenomic shotgun sequencing for 2183 healthy adults with clinical parameters, diet, lifestyle, and metabolite measurements. We provide the first set of large-scale evidence for gut microbiome dysbiosis in hyperuricemia, which relates to meat intake. We build a cardiometabolic disease risk model based on gut microbes for initial screening in a young population and confirm the validity using external cohorts. Fecal bacteria that have been reported to be enriched in colorectal cancer (CRC) are found to correlate with methylhistidines, branched-chain amino acids (BCAA), aromatic amino acids and glutamic acid in these young individuals, which were validated by an additional cohort of 1404 individuals. Our comprehensive data suggest that the gut microbiome could show trends towards diseases years before onset, and the results lay the foundation for the design of larger screens for cardiometabolic diseases and CRC with clinically meaningful cutoffs.
{"title":"Disease trends in a young Chinese cohort according to fecal metagenome and plasma metabolites","authors":"Zhuye Jie , Suisha Liang , Qiuxia Ding , Fei Li , Xiaohuan Sun , Yuxiang Lin , Peishan Chen , Kaiye Cai , Hongcheng Zhou , Haorong Lu , Xiaohan Wang , Tao Zhang , Liang Xiao , Huanming Yang , Jian Wang , Yong Hou , Karsten Kristiansen , Huijue Jia , Xun Xu","doi":"10.1016/j.medmic.2021.100037","DOIUrl":"10.1016/j.medmic.2021.100037","url":null,"abstract":"<div><p>Most of the disease studies for the gut microbiome have collected cases and control samples from the elderly or the middle-aged. Despite general interest in microbiome health, it is not known how microbial biomarkers from metagenome-wide association studies (MWAS) would perform in a cohort of young individuals, who would be largely free of chronic diseases, as well as medication. Here we analyze high-depth fecal metagenomic shotgun sequencing for 2183 healthy adults with clinical parameters, diet, lifestyle, and metabolite measurements. We provide the first set of large-scale evidence for gut microbiome dysbiosis in hyperuricemia, which relates to meat intake. We build a cardiometabolic disease risk model based on gut microbes for initial screening in a young population and confirm the validity using external cohorts. Fecal bacteria that have been reported to be enriched in colorectal cancer (CRC) are found to correlate with methylhistidines, branched-chain amino acids (BCAA), aromatic amino acids and glutamic acid in these young individuals, which were validated by an additional cohort of 1404 individuals. Our comprehensive data suggest that the gut microbiome could show trends towards diseases years before onset, and the results lay the foundation for the design of larger screens for cardiometabolic diseases and CRC with clinically meaningful cutoffs.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"9 ","pages":"Article 100037"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097821000057/pdfft?md5=68a265a42f24feecfe494b6d9fbc48f6&pid=1-s2.0-S2590097821000057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48082905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.1016/j.medmic.2021.100045
Yunqian Zhou , Hongbo Qi , Nanlin Yin
Pregnancy is a complex and continuously changing physiological process. With the increase in gestational age, a series of physiological changes, including hormone, metabolism, and immune, lead to the shift of microbiota of pregnant women. Growing studies have shown that the dysbiosis of microorganisms residing in multiple body sites is closely related to adverse pregnancy outcomes, especially preeclampsia, gestational diabetes mellitus, and preterm birth. In this review, we discussed the adaptations and alternations of the maternal microbiome in different sites (gut, vagina, and oral cavity) during normal and pathological pregnancies. Through the similarities and differences in microbial changes across different gestational diseases, we found three shared microbes (Bifidobacterium, Bacteroides, Dialister). In conclusion, we provide a comprehensive understanding of maternal microbial adaptions and changes, which brings insights into the association between maternal microbial dysbiosis and pregnancy complications and promotes the development of microbiota-specific approaches in the diagnosis and intervention of perinatal diseases.
{"title":"Adaptations and alterations of maternal microbiota: From physiology to pathology","authors":"Yunqian Zhou , Hongbo Qi , Nanlin Yin","doi":"10.1016/j.medmic.2021.100045","DOIUrl":"10.1016/j.medmic.2021.100045","url":null,"abstract":"<div><p>Pregnancy is a complex and continuously changing physiological process. With the increase in gestational age, a series of physiological changes, including hormone, metabolism, and immune, lead to the shift of microbiota of pregnant women. Growing studies have shown that the dysbiosis of microorganisms residing in multiple body sites is closely related to adverse pregnancy outcomes, especially preeclampsia, gestational diabetes mellitus, and preterm birth. In this review, we discussed the adaptations and alternations of the maternal microbiome in different sites (gut, vagina, and oral cavity) during normal and pathological pregnancies. Through the similarities and differences in microbial changes across different gestational diseases, we found three shared microbes (<em>Bifidobacterium,</em> Bacteroides<em>, Dialister</em>). In conclusion, we provide a comprehensive understanding of maternal microbial adaptions and changes, which brings insights into the association between maternal microbial dysbiosis and pregnancy complications and promotes the development of microbiota-specific approaches in the diagnosis and intervention of perinatal diseases.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"9 ","pages":"Article 100045"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.medmic.2021.100045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44796750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.1016/j.medmic.2021.100038
Zhuye Jie , Suisha Liang , Qiuxia Ding , Fei Li , Xiaohuan Sun , Yuxiang Lin , Peishan Chen , Kaiye Cai , Xiaohan Wang , Tao Zhang , Hongcheng Zhou , Haorong Lu , Liang Xiao , Huanming Yang , Jian Wang , Yong Hou , Karsten Kristiansen , Huijue Jia , Xun Xu
Gut microbiome influenced many aspects of host physiology and psychology. Vice versa, lifestyles factors such as exercise and healthy diet are ways to shape the gut microbiota towards balance. We observed two distinct microbe groups characterized by physical fitness in a multi-omic cohort of 2183 young subjects with metagenomics, national physique comprehensive test, lifestyle and metabolome data. The panel of bacterial taxa including Clostridium bolteae, Escherichia coli, Ruminococcus gnavus, Clostridium clostridioforme, Clostridium innocuum, Bacteroides cellulosilyticus and Oscillospiraceae, were consistently associated with most of the physical fitness. Clostridium species and trace element both increased in the individuals those tend to stay up late. Yogurt consumption was associated with Streptococcus thermophilus and Bifidobacterium animalis subsp. lactis in feces, which differed from potentially endogenous Bifidobacterium species that was associated with milk intake. Our large-scale analyses were poised to advise for a healthy gut microbiome through behavioural changes.
{"title":"Dairy consumption and physical fitness tests associated with fecal microbiome in a Chinese cohort","authors":"Zhuye Jie , Suisha Liang , Qiuxia Ding , Fei Li , Xiaohuan Sun , Yuxiang Lin , Peishan Chen , Kaiye Cai , Xiaohan Wang , Tao Zhang , Hongcheng Zhou , Haorong Lu , Liang Xiao , Huanming Yang , Jian Wang , Yong Hou , Karsten Kristiansen , Huijue Jia , Xun Xu","doi":"10.1016/j.medmic.2021.100038","DOIUrl":"10.1016/j.medmic.2021.100038","url":null,"abstract":"<div><p>Gut microbiome influenced many aspects of host physiology and psychology. Vice versa, lifestyles factors such as exercise and healthy diet are ways to shape the gut microbiota towards balance. We observed two distinct microbe groups characterized by physical fitness in a multi-omic cohort of 2183 young subjects with metagenomics, national physique comprehensive test, lifestyle and metabolome data. The panel of bacterial taxa including <em>Clostridium bolteae</em>, <em>Escherichia coli</em>, <em>Ruminococcus gnavus</em>, <em>Clostridium clostridioforme</em>, <em>Clostridium innocuum, Bacteroides cellulosilyticus</em> and <em>Oscillospiraceae,</em> were consistently associated with most of the physical fitness. <em>Clostridium</em> species and trace element both increased in the individuals those tend to stay up late. Yogurt consumption was associated with <em>Streptococcus thermophilus</em> and <em>Bifidobacterium animalis</em> subsp. <em>lactis</em> in feces, which differed from potentially endogenous <em>Bifidobacterium</em> species that was associated with milk intake. Our large-scale analyses were poised to advise for a healthy gut microbiome through behavioural changes.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"9 ","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097821000069/pdfft?md5=43124fa88f74018c915c9148fdd3f29f&pid=1-s2.0-S2590097821000069-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45061456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.1016/j.medmic.2021.100046
Dianjie Li , Yuxin Huang , Alena Sadykova , Wanting Zheng , Lan Lin , Chunzhu Jin , Wenlu Zhong , Can Liao , Shilei Pan
Objective
In this study, we aimed to examine the changes in the composition of vaginal and gut microbiota during the third trimester of pregnancy among women who delivered preterm. To further understand the relationship of these changes to preterm birth, we analyzed the microecology of vaginal and gut microbiota in mothers, as well as oral and gut microbiota in their newborns, and then compared the microecological characteristics of the microbiome at different body sites between the mothers and their newborns, as well as between the mothers and between the newborns from different groups.
Methods
In total, 26 women who delivered at Zhujiang Hospital, Southern Medical University (China) from July 2020 to January 2021 were categorized into the preterm and term groups. A blank swab and laboratory air and water samples were collected as part of the control group. We collected maternal vaginal and rectal samples, as well as neonatal oral and rectal samples. Total DNA from different parts of the swabs was extracted and sequenced using the 16s rRNA technique. Then, the data was analyzed using bioinformatics and statistical analysis.
Results
The abundance and alpha diversity of vaginal microbiota in the preterm group was found to be higher, but the difference was not statistically significant. There were significant differences in beta diversity of vaginal microbiota between the two groups (p < 0.05). The levels of Rothia and Gemella in the gut microbiota of women who had delivered preterm were significantly lower (p < 0.05). The alpha diversity of gut microbiota and neonatal oral and gut microbiota in women who had delivered preterm was lower. No significant differences were observed in alpha and beta diversity between the two groups in maternal gut microbiota and neonatal oral and gut microbiota. In the newborns in both groups, some species of oral microbiota were consistent with their mother's vaginal microbiota, and some species of gut microbiota in the newborns in both groups were consistent with their mother's gut microbiota.
Conclusions
Vaginal and gut microbiota in women who had given birth preterm were noticeably different from the vaginal and gut microbiota of women who had delivered at term, and it was probably related to preterm birth. Oral and gut microbiotas of preterm newborns were also noted to be different from that of the term newborns. It suggests that the changes in the microbiome of the newborns could be related to preterm birth. Some part of the newborns’ microbiota probably originates in the uterus.
{"title":"Composition of the microbial communities at different body sites in women with preterm birth and their newborns","authors":"Dianjie Li , Yuxin Huang , Alena Sadykova , Wanting Zheng , Lan Lin , Chunzhu Jin , Wenlu Zhong , Can Liao , Shilei Pan","doi":"10.1016/j.medmic.2021.100046","DOIUrl":"10.1016/j.medmic.2021.100046","url":null,"abstract":"<div><h3>Objective</h3><p>In this study, we aimed to examine the changes in the composition of vaginal and gut microbiota during the third trimester of pregnancy among women who delivered preterm. To further understand the relationship of these changes to preterm birth, we analyzed the microecology of vaginal and gut microbiota in mothers, as well as oral and gut microbiota in their newborns, and then compared the microecological characteristics of the microbiome at different body sites between the mothers and their newborns, as well as between the mothers and between the newborns from different groups.</p></div><div><h3>Methods</h3><p>In total, 26 women who delivered at Zhujiang Hospital, Southern Medical University (China) from July 2020 to January 2021 were categorized into the preterm and term groups. A blank swab and laboratory air and water samples were collected as part of the control group. We collected maternal vaginal and rectal samples, as well as neonatal oral and rectal samples. Total DNA from different parts of the swabs was extracted and sequenced using the 16s rRNA technique. Then, the data was analyzed using bioinformatics and statistical analysis.</p></div><div><h3>Results</h3><p>The abundance and alpha diversity of vaginal microbiota in the preterm group was found to be higher, but the difference was not statistically significant. There were significant differences in beta diversity of vaginal microbiota between the two groups (<em>p</em> < 0.05). The levels of <em>Rothia</em> and <em>Gemella</em> in the gut microbiota of women who had delivered preterm were significantly lower (<em>p</em> < 0.05). The alpha diversity of gut microbiota and neonatal oral and gut microbiota in women who had delivered preterm was lower. No significant differences were observed in alpha and beta diversity between the two groups in maternal gut microbiota and neonatal oral and gut microbiota. In the newborns in both groups, some species of oral microbiota were consistent with their mother's vaginal microbiota, and some species of gut microbiota in the newborns in both groups were consistent with their mother's gut microbiota.</p></div><div><h3>Conclusions</h3><p>Vaginal and gut microbiota in women who had given birth preterm were noticeably different from the vaginal and gut microbiota of women who had delivered at term, and it was probably related to preterm birth. Oral and gut microbiotas of preterm newborns were also noted to be different from that of the term newborns. It suggests that the changes in the microbiome of the newborns could be related to preterm birth. Some part of the newborns’ microbiota probably originates in the uterus.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"9 ","pages":"Article 100046"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097821000148/pdfft?md5=64031e01242e9b57d51346e96b129c7a&pid=1-s2.0-S2590097821000148-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49662438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}