Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Gut Microbiota Exceeds Cervical Microbiota for Early Diagnosis of Endometriosis
by
Liu, Bingdong
, Xie, Liwei
, Peng, Dongxian
, Ma, Ying
, Huang, Liujing
, Liu, Zhihong
, Zhu, Honglei
, Fu, Xiafei
, Cui, Zongbin
, Feng, Wanqin
, Liu, Minjuan
, Wang, Yifeng
in
Biomarkers
/ Cellular and Infection Microbiology
/ Cervix
/ Diagnosis
/ Early Diagnosis
/ Endometriosis
/ Endometriosis - diagnosis
/ Endometrium
/ Feces
/ Female
/ Gastrointestinal Microbiome
/ Genera
/ Gut microbiota
/ Gynecological diseases
/ Humans
/ Intestinal microflora
/ Lachnospiraceae Ruminococcus
/ Laparoscopy
/ Menstruation
/ Microbiomes
/ Microbiota
/ Mucus
/ Pathogenesis
/ Peritoneal fluid
/ Peritoneum
/ Pseudomonadaceae Pseudomonas
/ RNA, Ribosomal, 16S
/ Surgery
/ Womens health
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Gut Microbiota Exceeds Cervical Microbiota for Early Diagnosis of Endometriosis
by
Liu, Bingdong
, Xie, Liwei
, Peng, Dongxian
, Ma, Ying
, Huang, Liujing
, Liu, Zhihong
, Zhu, Honglei
, Fu, Xiafei
, Cui, Zongbin
, Feng, Wanqin
, Liu, Minjuan
, Wang, Yifeng
in
Biomarkers
/ Cellular and Infection Microbiology
/ Cervix
/ Diagnosis
/ Early Diagnosis
/ Endometriosis
/ Endometriosis - diagnosis
/ Endometrium
/ Feces
/ Female
/ Gastrointestinal Microbiome
/ Genera
/ Gut microbiota
/ Gynecological diseases
/ Humans
/ Intestinal microflora
/ Lachnospiraceae Ruminococcus
/ Laparoscopy
/ Menstruation
/ Microbiomes
/ Microbiota
/ Mucus
/ Pathogenesis
/ Peritoneal fluid
/ Peritoneum
/ Pseudomonadaceae Pseudomonas
/ RNA, Ribosomal, 16S
/ Surgery
/ Womens health
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Gut Microbiota Exceeds Cervical Microbiota for Early Diagnosis of Endometriosis
by
Liu, Bingdong
, Xie, Liwei
, Peng, Dongxian
, Ma, Ying
, Huang, Liujing
, Liu, Zhihong
, Zhu, Honglei
, Fu, Xiafei
, Cui, Zongbin
, Feng, Wanqin
, Liu, Minjuan
, Wang, Yifeng
in
Biomarkers
/ Cellular and Infection Microbiology
/ Cervix
/ Diagnosis
/ Early Diagnosis
/ Endometriosis
/ Endometriosis - diagnosis
/ Endometrium
/ Feces
/ Female
/ Gastrointestinal Microbiome
/ Genera
/ Gut microbiota
/ Gynecological diseases
/ Humans
/ Intestinal microflora
/ Lachnospiraceae Ruminococcus
/ Laparoscopy
/ Menstruation
/ Microbiomes
/ Microbiota
/ Mucus
/ Pathogenesis
/ Peritoneal fluid
/ Peritoneum
/ Pseudomonadaceae Pseudomonas
/ RNA, Ribosomal, 16S
/ Surgery
/ Womens health
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Gut Microbiota Exceeds Cervical Microbiota for Early Diagnosis of Endometriosis
Journal Article
Gut Microbiota Exceeds Cervical Microbiota for Early Diagnosis of Endometriosis
2021
Request Book From Autostore
and Choose the Collection Method
Overview
The diagnosis of endometriosis is typically delayed by years for the unexclusive symptom and the traumatic diagnostic method. Several studies have demonstrated that gut microbiota and cervical mucus potentially can be used as auxiliary diagnostic biomarkers. However, none of the previous studies has compared the robustness of endometriosis classifiers based on microbiota of different body sites or demonstrated the correlation among microbiota of gut, cervical mucus, and peritoneal fluid of endometriosis, searching for alternative diagnostic approaches. Herein, we enrolled 41 women (control, n = 20; endometriosis, n = 21) and collected 122 well-matched samples, derived from feces, cervical mucus, and peritoneal fluid, to explore the nature of microbiome of endometriosis patients. Our results indicated that microbial composition is remarkably distinguished between three body sites, with 19 overlapped taxa. Moreover, endometriosis patients harbor distinct microbial communities versus control group especially in feces and peritoneal fluid, with increased abundance of pathogens in peritoneal fluid and depletion of protective microbes in feces. Particularly, genera of Ruminococcus and Pseudomonas were identified as potential biomarkers in gut and peritoneal fluid, respectively. Furthermore, novel endometriosis classifiers were constructed based on taxa selected by a robust machine learning method. These results demonstrated that gut microbiota exceeds cervical microbiota in diagnosing endometriosis. Collectively, this study reveals important insights into the microbial profiling in different body sites of endometriosis, which warrant future exploration into the role of microbiota in endometriosis and highlighted values on gut microbiota in early diagnosis of endometriosis.
Publisher
Frontiers Media SA,Frontiers Media S.A
Subject
This website uses cookies to ensure you get the best experience on our website.