Evidence map›Paper›PMID 30996271›Full record

ArticleScientific reports2019

Comparison of multi-tissue aging between human and mouse.

Jujuan Zhuang, Lijun Zhang, Shuang Dai, Lingyu Cui, Cheng Guo, Laura Sloofman, Jialiang Yang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microvascular Health as a Key Determinant of Organismal Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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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

7 authors.

Jujuan ZhuangSchool of Science, Dalian Maritime University, Dalian, Liaoning, 116026, P. R. China.
Lijun ZhangSchool of Science, Dalian Maritime University, Dalian, Liaoning, 116026, P. R. China.
Shuang DaiSchool of Science, Dalian Maritime University, Dalian, Liaoning, 116026, P. R. China.
Lingyu CuiSchool of Science, Dalian Maritime University, Dalian, Liaoning, 116026, P. R. China.
Cheng GuoCenter for Infection and immunity, Columbia University, New York City, New York, USA.
Laura SloofmanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Jialiang YangGeneis (Beijing) Co. Ltd, Beijing, 100102, P. R. China. yangjl@geneis.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid growth of the aging population, exploring the biological basis of aging and related molecular mechanisms has become an important topic in modern scientific research. Aging can cause multiple organ function attenuations, leading to the occurrence and development of various age-related metabolic, nervous system, and cardiovascular diseases. In addition, aging is closely related to the occurrence and development of tumors. Although a number of studies have used various mouse models to study aging, further research is needed to associate mouse and human aging at the molecular level. In this paper, we systematically assessed the relationship between human and mouse aging by comparing multi-tissue age-related gene expression sets. We compared 18 human and mouse tissues, and found 9 significantly correlated tissue pairs. Functional analysis also revealed some terms related to aging in human and mouse. And we performed a crosswise comparison of homologous age-related genes with 18 tissues in human and mouse respectively, and found that human Brain_Cortex was significantly correlated with Brain_Hippocampus, which was also found in mouse. In addition, we focused on comparing four brain-related tissues in human and mouse, and found a gene-GFAP-related to aging in both human and mouse.

Indexed as

TranscriptomeAdultAgedAgingAlgorithmsAnimalsCerebral CortexDatabases, GeneticGlial Fibrillary Acidic ProteinHippocampusHumansMiceRNA-SeqGFAP protein, humanGlial Fibrillary Acidic Proteinglial fibrillary astrocytic protein, mouse

Identifiers

PMID30996271
PMCPMC6470208

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Registered trials

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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.