Evidence map›Paper›PMID 34540035›Full record

ArticleAmerican journal of translational research2021

Inflammation is involved in response of gastric mucosal epithelial cells under simulated microgravity by integrated transcriptomic analysis.

Shaobin Chai, Song Guo, Jiaqi Yang, Shengyu Lu, Yuan Yue, Hao Li, Peiming Sun, Tao Zhang, Binxin Xu, Hongwei Sun and 6 more

Abstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Aging and Altered Gravity: A Cellular Perspective.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
  2. Article
  3. 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

16 authors.

Shaobin ChaiMedical School of Chinese PLA Beijing 100853, China.
Song GuoDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Jiaqi YangDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Shengyu LuDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Yuan YueDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Hao LiDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Peiming SunDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Tao ZhangDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Binxin XuSpecial Medical Laboratory Center, Strategic Support Force Medical Center Beijing 100101, China.
Hongwei SunDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Shaoyan SiSpecial Medical Laboratory Center, Strategic Support Force Medical Center Beijing 100101, China.
Jinlian ZhouDepartment of Pathology, Strategic Support Force Medical Center Beijing 100101, China.
Jianwu YangDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Heming YangDepartment of General Surgery, Strategic Support Force Medical Center Beijing 100101, China.
Zhengpeng LiDepartment of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital Beijing 100853, China.
Yan CuiMedical School of Chinese PLA Beijing 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Astronauts suffer from inflammatory changes induced by microgravity during space flight. Microgravity can significantly affect the inflammatory response of various cell types and multiple systems of the human body, such as cardiovascular system, skeletal muscle system, and digestive system. The aim of this research was to identify the key genes and pathways of gastric mucosa affected by microgravity. Human gastric mucosal epithelial GES-1 cells were cultured in a rotary cell culture system (RCCS) bioreactor to simulate microgravity. The gene expression profiles of GES-1 cells were obtained using Illumina sequencing platform and differentially expressed genes were identified by DESeq2 software, then Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. Subsequently, a protein-protein interaction (PPI) network was constructed. Compared with a normal gravity (NG) group, a total of 943 DEGs, including 192 downregulated genes and 751 upregulated genes, were identified. These DEGs were associated with findings that included response to interleukin-1, positive regulation of inflammatory response, and positive regulation of neuroinflammatory response. Furthermore, these DEGs were mainly enriched in herpes simplex virus 1 infection, cytokine-cytokine receptor interaction, and NOD-like receptor signaling pathway. Thus, 21 hub genes were identified from PPI network, including IL6, IL1B, ITGAM, CXCL8, ITGAX, CCL5, SERPINA1, APOE, CSF1R, VWF, GBP1, APOB, CYBB, HLA-DRB1, CD68, FGG, FGA, OASL, NOD2, OAS2 and FCGR2A. These findings suggested that simulated microgravity upregulated inflammation-related genes and pathways of GES-1 cells, which may play important roles in the response to microgravity and provide useful information for preventing mucosal damage in astronauts. In conclusion, this study revealed the key genes and pathways associated with simulated microgravity and indicated that simulated microgravity induced an inflammatory response in gastric mucosal epithelial cells.

Indexed as

bioinformatics analysisinflammatory responseinterleukin 1βinterleukin 6Weightlessness simulation

Identifiers

PMID34540035
PMCPMC8430122

What OpenQuestion holds

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Registered trials

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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.