Evidence map›Paper›PMID 31894374›Full record

ArticleCurrent microbiology2020

Blood Loss Leads to Increase in Relative Abundance of Opportunistic Pathogens in the Gut Microbiome of Rabbits.

Junjie Yang, Jiaming Zhang, Changying Zhao, Zhongtao Gai, Xiaofeng Mu, Ye Wang, Chunling Zhang, Zhenzhen Su, Lihe Gao, Dequan Zhu and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Stress-related changes in the gut microbiome after trauma.The journal of trauma and acute care surgery · 2021
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

Junjie YangMicrobiological Laboratory, Department of Infection Management, Department of Neurosurgery, Lin Yi People's Hospital, Linyi, 276000, Shandong, China.
Jiaming ZhangMicrobiome-X Group, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Chemistry and Environment, Beihang University, Beijing, 100191, China.
Changying ZhaoShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan, 250022, Shandong, China.
Zhongtao GaiShandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan, 250022, Shandong, China.
Xiaofeng MuClinical Laboratory and Core Research Laboratory, Qingdao Human Microbiome Center, The Affiliated Central Hospital of QingdaoUniversity, Qingdao, 266042, Shandong, China.
Ye WangClinical Laboratory and Core Research Laboratory, Qingdao Human Microbiome Center, The Affiliated Central Hospital of QingdaoUniversity, Qingdao, 266042, Shandong, China.
Chunling ZhangDepartment of Respiratory Medicine, The Affiliated Central Hospital of Qingdao University, Qingdao, 266042, Shandong, China.
Zhenzhen SuShandong Institute of Industrial Technology for Health Sciences and Precision Medicine, Jinan, 250100, Shandong, China.
Lihe GaoShandong Institute of Industrial Technology for Health Sciences and Precision Medicine, Jinan, 250100, Shandong, China.
Dequan ZhuMicrobiological Laboratory, Department of Infection Management, Department of Neurosurgery, Lin Yi People's Hospital, Linyi, 276000, Shandong, China.
Zhiwen ZuoMicrobiological Laboratory, Department of Infection Management, Department of Neurosurgery, Lin Yi People's Hospital, Linyi, 276000, Shandong, China.
Xueyuan HengMicrobiological Laboratory, Department of Infection Management, Department of Neurosurgery, Lin Yi People's Hospital, Linyi, 276000, Shandong, China. xueyuanheng@yahoo.com.
Lei ZhangMicrobiome-X Group, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Chemistry and Environment, Beihang University, Beijing, 100191, China. microbiome@foxmail.com.
Linyi People's Hospital · CNQilu Hospital of Shandong University · CNQingdao University · CNAffiliated Hospital of Qingdao University · CNQilu Normal University · CNShandong Institute of Food and Drug Inspection · CN

Funding

The National Natural Science Foundation of China 31471202The National Natural Science Foundation of China 81671362The Shandong Provincial Key Research and Development Program 2016YYSP009The Shandong Provincial Key Research and Development Program 2018CXGC1219The Taishan Scholars Program of Shandong Province tshw20120206Weihai Technique Extension Project 2016GNS023
6 · The paper itself

Abstract

Massive blood loss, a common pathological complication in the clinic, is often accompanied by altered gut integrity and intestinal wall damage. Little is known to what extent the gut microbiome could be correlated with this process. The gut microbiome plays a crucial role in human health, especially in immune and inflammatory responses. This study aims to determine whether acute blood loss affects the gut microbiome and the dynamic variation of the gut microbiome following the loss of blood. We used New Zealand rabbits to mimic the blood loss complication and designed a five-time-point fecal sampling strategy including 24-h pre-blood loss procedure, 24 h, 36 h, 48 h, and 1-week post-blood loss procedure. Gut microbiome composition and diversity were analyzed using 16S rRNA gene sequencing and downstream α-diversity, β-diversity, and taxonomy analysis. The gut microbiome changed dramatically after blood loss procedure. There was a significant increase in diversity and richness of the gut microbiome at 24-h post-procedure (P = 0.038). Based on an analysis of similarities, the composition of gut microbiome in the samples collected at 24-h post-procedure was significantly different from that of pre-procedure samples (r = 0.79, P = 0.004 weighted unifrac distance; r = 0.99, P = 0.002, unweighted unifrac distance). The relative abundance of Lactobacillus was significantly decreased in the post-procedure samples (P = 0.0006), while the relative abundance of Clostridiales (P = 0.018) and Bacteroidales (P = 0.015) was significantly increased after procedure. We also found the relative abundance of Bacilli, Lactobacillus, Myroides, and Prevotella decreased gradually at different time points after blood loss. The relative abundance of the Clostridia, Alphaproteobacteria, and Sporosarcina increased at 24-h post-procedure and decreased thereafter. This preliminary study discovered potential connections between blood loss and dysbiosis of gut microbiome. The diversity and abundance of the gut microbiome was affected to various extents after acute blood loss and unable to be restored to the original microbiome profile even after one week. The increase in relative abundance of opportunistic pathogens after blood loss could be an important indication to reconsider immune and inflammatory responses after acute blood loss from the perspective of gut microbiome.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaDysbiosisFecesHemorrhageMaleOpportunistic InfectionsRabbitsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID31894374
OpenAlexW2998431113

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.