ArticleGeroScience2023
Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging.
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.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- PCSK9 inhibition attenuates alcohol-induced cardiovascular dysfunction and links hepatic lipid accumulation to impaired myocardial contractile reserve.GeroScience · 2026Article
- Review
- Article
- PCSK9 expression and cancer survival: a prognostic biomarker at the intersection of oncology and geroscience.GeroScience · 2026Article
- Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025Review
- A Mediterranean Diet-Based Food Mix Ameliorates Diabetes- and Obesity-Associated Liver Alterations Through Mitochondrial and Metabolic Reprogramming.Molecular nutrition & food research · 2025Article
- Chronic alcohol consumption accelerates cardiovascular aging and decreases cardiovascular reserve capacity.GeroScience · 2025Article
- Global and tissue-specific transcriptomic dysregulation in human aging: Pathways and predictive biomarkers.GeroScience · 2025Article
- Quasi-spatial single-cell transcriptome based on physical tissue properties defines early aging associated niche in liver.Nature aging · 2025Article
- Exploring the Pleiotropy of PCSK9: A Wide Range of Influences from Lipid Regulation to Extrahepatic Function.Journal of inflammation research · 2025Review
- PCSK9: an emerging player in cardiometabolic aging and its potential as a therapeutic target and biomarker.GeroScience · 2024Review
- Analysis of COPD: Distinguishing Characteristics and Management of Smoking vs Never Smoking Patients.International journal of chronic obstructive pulmonary disease · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What Socratic holds
Registered trials
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.