Evidence map›Paper›PMID 31811045›Full record

ArticleApplied and environmental microbiology2020

Relationship between the Gut Microbiome and Energy/Nutrient Intake in a Confined Bioregenerative Life Support System.

Juanjuan Chen, Qi Wang, Zikai Hao, Zhongxia Li, Sunil Kumar Sahu, Hong Liu, Liang Xiao

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Juanjuan Chen *School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.ORCID 0000-0001-8390-8951
Qi Wang *BGI-Shenzhen, Shenzhen, China.
Zikai Hao *Institute of Environmental Biology and Life Support Technology, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Zhongxia LiBGI-Shenzhen, Shenzhen, China.
Sunil Kumar SahuBGI-Shenzhen, Shenzhen, China.
Hong LiuInstitute of Environmental Biology and Life Support Technology, School of Biological Science and Medical Engineering, Beihang University, Beijing, China lh64@buaa.edu.cn xiaoliang@genomics.cn.
Liang XiaoBGI-Shenzhen, Shenzhen, China lh64@buaa.edu.cn xiaoliang@genomics.cn.
BGI Group (China) · CNBeihang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have suggested that the gut microbiome is modified in space analogs and that human health can be affected during actual spaceflight. However, the relationship between the gut microbiome and dietary intake in simulator subjects and astronauts remains unclear. Bioregenerative life support systems (BLSSs) are confined and self-sufficient ecosystems that enable exploration of this issue. Here, we correlate changes in gut microbes to the nutrient types present in controlled diets within subjects cohabitating in a BLSS. A metagenome-wide association study (MWAS) was performed on 55 shotgun-sequenced fecal samples longitudinally obtained from healthy Chinese subjects (

Indexed as

Energy IntakeGastrointestinal MicrobiomeLife Support SystemsMetagenomeNutritional StatusAdultChinaFemaleGenome-Wide Association StudyHumansMaleYoung Adultbioregenerative life support system (BLSS)compositional and functional alterationsgut microbial convergenceindividual-/sex-specificmetagenome-wide association study (MWAS)

Identifiers

PMID31811045
PMCPMC6997737
OpenAlexW2992869078

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.