Evidence map›Paper›PMID 37726433›Full record

ArticleGeroScience2023

Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging.

Muhammad Arif, Csaba Matyas, Partha Mukhopadhyay, Burhan Yokus, Eszter Trojnar, Janos Paloczi, Bruno Paes-Leme, Suxian Zhao, Falk W Lohoff, György Haskó and 1 more

Abstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Research square · 2026
    Article
  4. Article
  5. Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Analysis of COPD: Distinguishing Characteristics and Management of Smoking vs Never Smoking Patients.International journal of chronic obstructive pulmonary disease · 2024
    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

11 authors.

Muhammad Arif *Laboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-2261-0881
Csaba Matyas *Laboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Partha MukhopadhyayLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Burhan YokusLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Eszter TrojnarLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Janos PalocziLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Bruno Paes-LemeLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Suxian ZhaoLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
Falk W LohoffSection On Clinical Genomics and Experimental Therapeutics, National Institute On Alcohol Abuse and Alcoholism National Institutes of Health, Bethesda, MD, USA.
György HaskóDepartment of Anesthesiology, Columbia University, New York, NY, USA.
Pal PacherLaboratory of Cardiovascular Physiology and Tissue Injury, National Institute On Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA. pacher@mail.nih.gov.ORCID 0000-0001-7036-8108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liver, as a crucial metabolic organ, undergoes significant pathological changes during the aging process, which can have a profound impact on overall health. To gain a comprehensive understanding of these alterations, we employed data-driven approaches, along with biochemical methods, histology, and immunohistochemistry techniques, to systematically investigate the effects of aging on the liver. Our study utilized a well-established rat aging model provided by the National Institute of Aging. Systems biology approaches were used to analyze genome-wide transcriptomics data from liver samples obtained from young (4-5 months old) and aging (20-21 months old) Fischer 344 rats. Our findings revealed pathological changes occurring in various essential biological processes in aging livers. These included mitochondrial dysfunction, increased oxidative/nitrative stress, decreased NAD + content, impaired amino acid and protein synthesis, heightened inflammation, disrupted lipid metabolism, enhanced apoptosis, senescence, and fibrosis. These results were validated using independent datasets from both human and rat aging studies. Furthermore, by employing co-expression network analysis, we identified novel driver genes responsible for liver aging, confirmed our findings in human aging subjects, and pointed out the cellular localization of the driver genes using single-cell RNA-sequencing human data. Our study led to the discovery and validation of a liver-specific gene, proprotein convertase subtilisin/kexin type 9 (PCSK9), as a potential therapeutic target for mitigating the pathological processes associated with aging in the liver. This finding envisions new possibilities for developing interventions aimed to improve liver health during the aging process.

Indexed as

Proprotein Convertase 9TranscriptomeAgingAnimalsHumansLiverRatsPCSK9 protein, humanPCSK9 protein, ratProprotein Convertase 9AgingLiverMetabolismNetwork biologyPCSK9Rat modelSystems biologyTranscriptomics

Identifiers

PMID37726433
PMCPMC10643490

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.