Evidence map›Paper›PMID 34178774›Full record

ArticleIranian journal of public health2021

Specific Differentially Methylated and Expressed Genes in People with Longevity Family History.

Chunhong Li, Qingqing Nong, Bin Guan, Haoyu He, Zhiyong Zhang

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Chunhong LiDepartment of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China.
Qingqing NongDepartment of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China.
Bin GuanDepartment of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China.
Haoyu HeDepartment of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China.
Zhiyong ZhangDepartment of Environmental Health, School of Public Health, Guangxi Medical University, Nanning, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe attempt to identify specific differentially methylated and expressed genes in people with longevity family history, it will contribute to discover significant features about human longevity.

methodsA prevalence study was conducted during October 2017 to January 2019 in Bama County of Guangxi, China and individuals were recruited and grouped into longevity family (n=60) and non-longevity family (n=60) to identify differentially methylated genes (DMGs). The expression profile dataset GSE16717 was downloaded from the GEO database in which individuals were divided into 3 groups, namely longevity (n=50), longevity offspring (n=50) and control (n=50) for identifying differentially expressed genes (DEGs). It was considered significantly different when

resultsIn total, 117 longevity-related hypermethylated genes enriched in interleukin secretion/production regulation, chemokine signaling pathway and natural killer cell-mediated cytotoxicity. Another 296 significant key longevity-related DEGs primarily involved in protein binding, nucleus, cytoplasm, T cell receptor signaling pathway and Metabolic pathway,

conclusionHuman longevity-specific genes involve in many immunity regulations and cellular immunity pathways,

Indexed as

Differentially expressed genesDifferentially methylated genesLongevity family historyPeople

Identifiers

PMID34178774
PMCPMC8213620
OpenAlexW3118630841

What OpenQuestion holds

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LicenceCC BY-NC
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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.