{"title":"Human microbiota: A crucial gatekeeper in lung cancer initiation, progression, and treatment","authors":"Yuqing Zhou , Tingtao Chen","doi":"10.1016/j.medmic.2022.100055","DOIUrl":"10.1016/j.medmic.2022.100055","url":null,"abstract":"<div><p>Lung cancer is becoming one of the most detrimental cancers with the highest morbidity and mortality rate of all cancers, posing a significant burden for the global health system. Nonetheless, the therapeutic efficacy of traditional lung cancer therapies still remains relatively unsatisfying with varied responsiveness and unexpected adverse effects. Fortunately, studies have reported that an intimate relationship might exist between microbiota and lung carcinoma. Notably, microbial dysbiosis might result in changes in the metabolism, induction of immunosuppression, and recruitment of inflammatory factors, thereby driving lung carcinogenesis. Certain microbial strains were identified to be specifically enriched in the lung tumor beds, indicating their predictive role in lung cancer. Furthermore, the particular microbial composition was also proved to potentiate the outcomes of lung cancer therapies, suggesting that lung and gut microbiome were promising to be clinically applied for lung cancer therapy. In this review, we will comprehensively summarize the recent findings on how microbes mediate the initiation, progression, and treatment of lung cancer, illustrating the potential mechanisms and probing into the putative manipulation of microbiota to facilitate lung cancer treatments.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"13 ","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097822000052/pdfft?md5=a27d8fd9d3b75e2c50e8b3a7d21b930c&pid=1-s2.0-S2590097822000052-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46644951","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}
{"title":"Development of colorectal cancer detection and prediction based on gut microbiome big-data","authors":"Yangyang Sun , Xiaoqian Fan , Jin Zhao","doi":"10.1016/j.medmic.2022.100053","DOIUrl":"10.1016/j.medmic.2022.100053","url":null,"abstract":"<div><p>Colorectal cancer is one of the most common gastrointestinal cancers. 90% patients in the early stages of colorectal cancer can survive at least 5 years. However, most patients are diagnosed at terminal stages due to insignificant symptoms in early times and the traumatic pathological diagnosis methods. Previous studies have reported that the gut microbiome differs between healthy and colorectal cancer patients, which opens a new door to non-invasive diagnostic methods. The key prerequisite for colorectal cancer detection using the gut microbiome is the identification of effective markers. In this mini-review, we summarized the existing approaches of colorectal cancer screening based on gut microbiome in experimental design, markers selection and identification methods, and also proposed potential solutions to colorectal cancer detection and prediction using the gut microbiome, which could potentially improve detection accuracy as well as reduce costs.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"12 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097822000039/pdfft?md5=df2cb5a88e1e8336d5b1685ef57df687&pid=1-s2.0-S2590097822000039-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48537127","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}
Caitlin A. Selway , Jaya Sudarpa , Laura S. Weyrich
{"title":"Moving beyond the gut microbiome: Combining systems biology and multi-site microbiome analyses to combat non-communicable diseases","authors":"Caitlin A. Selway , Jaya Sudarpa , Laura S. Weyrich","doi":"10.1016/j.medmic.2022.100052","DOIUrl":"10.1016/j.medmic.2022.100052","url":null,"abstract":"<div><p>Human microbiome research is critical to understanding the causes and complications of non-communicable diseases. However, this research is primarily focused on the gut microbiota, which limits our understanding of how other microbiotas in the body further contribute or confound some observations. Further, investigations into other body sites are critical to understand how the immune system holistically interacts with the microbiome. By performing multi-site and multi-omics approaches, the human body can be considered as a system, with interacting parts. An appreciation for the relationships between an individual's distinct microbiomes, micro-environments, and the human host will likely provide advancements in preventing or treating non-communicable diseases.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"12 ","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097822000027/pdfft?md5=14de2013769dd6f74d6ad74fde6413e6&pid=1-s2.0-S2590097822000027-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44475797","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}
Huidi Wang , Jie Li , Guangyan Wu , Feng Zhang , Jia Yin , Yan He
{"title":"The effect of intrinsic factors and mechanisms in shaping human gut microbiota","authors":"Huidi Wang , Jie Li , Guangyan Wu , Feng Zhang , Jia Yin , Yan He","doi":"10.1016/j.medmic.2022.100054","DOIUrl":"https://doi.org/10.1016/j.medmic.2022.100054","url":null,"abstract":"<div><p>The human body harbors a myriad of microbial communities with the highest concentration and diversity found within the intestine whose disturbance is associated with many diseases. The potential of gut microbiota modulation to confer health benefits has resulted in tremendous efforts of testing extrinsic materials, e.g., probiotics, prebiotics, diet modulation and fecal microbiota transplantation. Meanwhile, the assembly of gut microbiota follows its intrinsic rules, including host selective pressures, bacteria-bacteria interactions, fungi-bacteria interactions, and virus-bacteria interactions. Understanding how these intrinsic factors and mechanisms shape the indigenous gut microbiota can provide crucial knowledge to guide evidence-based microbiota modulation therapies. Hence, this review focuses on our current understanding of the gut microbiota assemblage shaped by host, resident bacteria, fungi as well as virus.</p></div>","PeriodicalId":36019,"journal":{"name":"Medicine in Microecology","volume":"12 ","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590097822000040/pdfft?md5=0c07cd19135a91baf8ad763594b58df6&pid=1-s2.0-S2590097822000040-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92056276","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}
Qiong-qiong Zhang , Rui Chen , Meng Li , Zhen Zeng , Lei Zhang , Qin-ping Liao
{"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}
{"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}
{"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}
Yu-Ning Chen, Jieying Luo, Haowen Li, R. Fang, Ruiheng Zhang, Yue-ming Liu, Yang Li, Wenbin Wei, J. Xiu
{"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}
{"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}
{"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}