Evidence map›Paper›PMID 39202434›Full record

ArticleGenes2024

Key Genes

Yifan Zhao, Lingling Zhu, Dawei Shi, Jiayue Gao, Ming Fan

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Yifan ZhaoSchool of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.
Lingling ZhuBeijing Institute of Basic Medical Sciences, Beijing 100850, China.
Dawei ShiSchool of Automation, Beijing Institute of Technology, Beijing 100850, China.
Jiayue GaoBeijing Institute of Basic Medical Sciences, Beijing 100850, China.ORCID 0000-0003-3301-2019
Ming FanSchool of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-altitude acclimatization refers to the physiological adjustments and adaptation processes by which the human body gradually adapts to the hypoxic conditions of high altitudes after entering such environments. This study analyzed three mRNA expression profile datasets from the GEO database, focusing on 93 healthy residents from low altitudes (≤1400 m). Peripheral blood samples were collected for analysis on the third day after these individuals rapidly ascended to higher altitudes (3000-5300 m). The analysis identified significant differential expression in 382 genes, with 361 genes upregulated and 21 downregulated. Further, gene ontology (GO) annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis indicated that the top-ranked enriched pathways are upregulated, involving blood gas transport, erythrocyte development and differentiation, and heme biosynthetic process. Network analysis highlighted ten key genes, namely,

Indexed as

AltitudeGene Regulatory Networks5-Aminolevulinate SynthetaseAcclimatizationAdultFerrochelataseGene Expression ProfilingGene Expression RegulationGene OntologyHumansHydroxymethylbilane SynthaseMaleTranscriptome5-Aminolevulinate SynthetaseALAS2 protein, humanFECH protein, humanFerrochelataseHydroxymethylbilane Synthaseacclimatizationbiomarkersgene expressionhigh altitudemRNA expression profile

Identifiers

PMID39202434
PMCPMC11353374

What OpenQuestion holds

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LicenceCC BY
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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.