Evidence map›Paper›PMID 36425065›Full record

ArticleFrontiers in genetics2022

Bioinformatic analysis of the RNA expression patterns in microgravity-induced bone loss.

Xiaoyan Zhang, Tong Xue, Zebing Hu, Xian Guo, Gaozhi Li, Yixuan Wang, Lijun Zhang, Liqun Xu, Xinsheng Cao, Shu Zhang and 2 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

12 authors.

Xiaoyan ZhangThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Tong XueThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Zebing HuThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Xian GuoThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Gaozhi LiThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Yixuan WangThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Lijun ZhangThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Liqun XuThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Xinsheng CaoThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Shu ZhangThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Fei ShiThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Ke WangThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers have linked microgravity in space to the significant imbalance between bone formation and bone resorption that induces persistent bone loss in load-bearing bones. However, the underlying molecular mechanisms are still unclear, which hinders the development of therapeutic measures. The aim of this study was to identify hub genes and explore novel molecular mechanisms underlying microgravity-induced bone loss using transcriptome datasets obtained from the GEO and SRA databases. In summary, comparative RNA expression pattern studies that differ in species (

Indexed as

bioinformaticsbone lossmicrogravitymiRNAtranscriptome

Identifiers

PMID36425065
PMCPMC9681495

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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.