Evidence map›Paper›PMID 31601169›Full record

ArticleBMC genomics2019

Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey.

Hao Wang, Xiaoqi Zhu, Junyan Shen, En-Feng Zhao, Dajun He, Haitao Shen, Hailiang Liu, Yongxin Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Proteomic Markers of Aging and Longevity: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
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  11. Multimerin-1 and cancer: a review.Bioscience reports · 2022
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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

8 authors at 2 institutions in 1 country.

Hao WangDepartment of Thoracic-Cardiovascular Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Xiaoqi ZhuTranslational Center for Stem Cell Research, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
Junyan ShenTranslational Center for Stem Cell Research, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
En-Feng ZhaoTranslational Center for Stem Cell Research, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
Dajun HeCollege of Life Sciences, Key Laboratary of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, Shihezi University, Shihezi, 832003, Xinjiang, China.
Haitao ShenCollege of Life Sciences, Key Laboratary of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education, Shihezi University, Shihezi, 832003, Xinjiang, China.
Hailiang LiuTranslational Center for Stem Cell Research, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. hailiang_1111@tongji.edu.cn.ORCID http://orcid.org/0000-0002-5521-3746
Yongxin ZhouDepartment of Thoracic-Cardiovascular Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai, China. Zhou6302@tongji.edu.cn.
Tongji University · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe underlying physiological mechanisms associated with aging are still complex and unclear. As a very important tissue of human body, the circulatory system also plays a very important role in the process of aging. In this study, we use the isobaric tags for relative and absolute quantification (iTRAQ) method to identify differentially expressed proteins in plasma for humans and monkeys between young and aged. Western blotting and behavioral experiment in mice were performed to validate the expression of the candidate protein.

resultsBetween the young / the old humans and the young / the old monkeys 74 and 69 proteins were found to be differently expressed, respectively. For the human samples, these included 38 up-regulated proteins and 36 down-regulated proteins (a fold change ≥1.3 or ≤ 0.667, p value ≤0.05).For the monkey samples, 51 up-regulated proteins and 18 down-regulated proteins (a fold change ≥1.3 or ≤ 0.667, p value ≤0.05). KEGG pathway analysis revealed that phagosome, focal adhesion, ECM-receptor interaction and PI3K/AKT signaling pathway were the most common pathways involved in aging. We found only IGFBP4 protein that existed in up-regulated proteins in aged both for human and monkey. In addition, the differential expression of IGFBP4 was validated by western blot analysis and IGFBP4 treatment mimicked aging-related cognitive dysfunction in mice.

conclusionsThis first, the integrated proteomics for the plasma protein of human and monkey reveal one protein-IGFBP4, which was validated by western blotting and behavioral analysis can promote the process of aging. And, iTRAQ analysis showed that proteolytic systems, and inflammatory responses plays an important role in the process of aging. These findings provide a basis for better understanding of the underlying mechanisms involved in aging.

Indexed as

AdultAgedAged, 80 and overAgingAnimalsCognitionFemaleGene Expression RegulationGene Regulatory NetworksHaplorhiniHumansInsulin-Like Growth Factor Binding Protein 4MaleMiceProteomicsIGFBP4 protein, humanInsulin-Like Growth Factor Binding Protein 4Cognitive dysfunctionIGFBP4iTRAQPlasmaQuantitative proteomics

Identifiers

PMID31601169
PMCPMC6788010
OpenAlexW2979396270

What OpenQuestion holds

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LicenceCC BY
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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.