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pmid:34178774

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

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

Iranian journal of public health · 2021 doi:10.18502/ijph.v50i1.5082

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title
Specific Differentially Methylated and Expressed Genes in People with Longevity Family History.
doi
10.18502/ijph.v50i1.5082
pmid
34178774
authors array · 5 items
[0]
Chunhong Li
[1]
Qingqing Nong
[2]
Bin Guan
[3]
Haoyu He
[4]
Zhiyong Zhang
journal
Iranian journal of public health
year
2021
abstract
BACKGROUND: We 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. METHODS: A 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 P or adjusted P≤0.05. RESULTS: In 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, H19 and PFKFB4 were found to be both methylated and downregulated in people with longevity family history. CONCLUSION: Human longevity-specific genes involve in many immunity regulations and cellular immunity pathways, H19 and PFKFB4 show hypermethylated and suppressed status in people with longevity family history and might serve as longevity candidate genes.
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The expression profile dataset GSE16717(the preprocessed series matrix files) shared by Leiden Longevity Study was downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16717), in which individuals were divided into 3 groups, namely longevity (n=50, males=26, females=24, mean age=93.4 yr), longevity offspring (n=50, males=25, females=25, mean age=60.8 yr) and control (n=50, males=24, females=26, mean age=61.9 yr) (20).
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The expression profile dataset GSE16717(the preprocessed series matrix files) shared by Leiden Longevity Study was downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16717), in which individuals were divided into 3 groups, namely longevity (n=50, males=26, females=24, mean age=93.4 yr), longevity offspring (n=50, males=25, females=25, mean age=60.8 yr) and control (n=50, males=24, females=26, mean age=61.9 yr) (20).
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Top 10 gene annotations (GOs) of longevity-related hypermethylated genes
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Table 2:
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Top 10 gene annotations of longevity-related hypo methylated genes
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The hypermethylated and downregulated genes in people with longevity family history
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Hyper methylated and down-regulated genes in people with longevity family history
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Table 3:
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The hypermethylated and downregulated genes in people with longevity family history
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34178774", "kind": "science-record", "revision": 7, "content_hash": "sha256:db6282542c9a301c6cec698ddea8a25e65b9e4ca76fa6401e7a81c6b5b46d5af", "created_at": "2026-11-01T15:41:40Z", "updated_at": "2026-11-01T21:25:36Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Specific Differentially Methylated and Expressed Genes in People with Longevity Family History.", "doi": "10.18502/ijph.v50i1.5082", "pmid": "34178774", "authors": ["Chunhong Li", "Qingqing Nong", "Bin Guan", "Haoyu He", "Zhiyong Zhang"], "journal": "Iranian journal of public health", "year": 2021, "abstract": "BACKGROUND: We 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.\nMETHODS: A 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 P or adjusted P≤0.05.\nRESULTS: In 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, H19 and PFKFB4 were found to be both methylated and downregulated in people with longevity family history.\nCONCLUSION: Human longevity-specific genes involve in many immunity regulations and cellular immunity pathways, H19 and PFKFB4 show hypermethylated and suppressed status in people with longevity family history and might serve as longevity candidate genes.", "claims": [{"id": "claim-data-access", "statement": "The expression profile dataset GSE16717(the preprocessed series matrix files) shared by Leiden Longevity Study was downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16717), in which individuals were divided into 3 groups, namely longevity (n=50, males=26, females=24, mean age=93.4 yr), longevity offspring (n=50, males=25, females=25, mean age=60.8 yr) and control (n=50, males=24, females=26, mean age=61.9 yr) (20).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34178774", "locator": "sections[4] \"Data for differentially expressed genes (DEGs) identification\" paragraph 2", "quote": "The expression profile dataset GSE16717(the preprocessed series matrix files) shared by Leiden Longevity Study was downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE16717), in which individuals were divided into 3 groups, namely longevity (n=50, males=26, females=24, mean age=93.4 yr), longevity offspring (n=50, males=25, females=25, mean age=60.8 yr) and control (n=50, males=24, females=26, mean age=61.9 yr) (20)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34178774"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE16717"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE16717"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34178774", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.18502/ijph.v50i1.5082", "sha256": 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