Evidence map›Paper›PMID 21685172›Full record

ArticleCirculation. Cardiovascular genetics2011

Multi-analyte profiling reveals matrix metalloproteinase-9 and monocyte chemotactic protein-1 as plasma biomarkers of cardiac aging.

Ying Ann Chiao, Qiuxia Dai, Jianhua Zhang, Jing Lin, Elizabeth F Lopez, Seema S Ahuja, Youn-Min Chou, Merry L Lindsey, Yu-Fang Jin

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

60 citing papers in PubMed, 87 citations in OpenAlex.

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  11. The Senescent Heart-"Age Doth Wither Its Infinite Variety".International journal of molecular sciences · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. Effects of Aging on Collagen in the Skeletal Muscle of Mice.International journal of molecular sciences · 2023
    Article
  16. Framing Heartaches: The Cardiac ECM and the Effects of Age.International journal of molecular sciences · 2023
    Review
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Ying Ann ChiaoDivision of Geriatrics, Gerontology, and Palliative Medicine, Department of Medicine, The University of Texas Health Science Center at San Antonio, 78245, USA.
Qiuxia Dai
Jianhua Zhang
Jing Lin
Elizabeth F Lopez
Seema S Ahuja
Youn-Min Chou
Merry L Lindsey
Yu-Fang Jin
The University of Texas Health Science Center at San Antonio · US

Funding

The Role of Macrophage-derived MMPs in LV RemodelingR01HL075360 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LINDSEY, MERRY L. · 2004 to 2018
$5.4M
Chemokine System in DC and Lymphocyte FunctionR01AI048644 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI AHUJA, SEEMA SINGH · 2001 to 2005
$1.7M
Chemokines in pathogenesis of Experimental ArthritisR01AR052755 · NIAMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI AHUJA, SEEMA SINGH · 2006 to 2010
$1.7M
Effects of Aging on LV Geometry and MMP-9 Expression LevelSC2HL101430 · NHLBI · UNIVERSITY OF TEXAS SAN ANTONIO · PI JIN, YUFANG · 2009 to 2011
$397k
Mathematical Modeling of Matrix Metalloproteinase-9 Driven Left Ventricular RemodR03EB009496 · NIBIB · UNIVERSITY OF TEXAS SAN ANTONIO · PI JIN, YUFANG · 2010 to 2010
$83k
Neutrophil Polarization Following Myocardial InfarctionI01BX000505 · VA · VETERANS HEALTH ADMINISTRATION · PI LINDSEY, MERRY L. · 2009 to 2024
–
BLRD VA I01 BX000505NHLBI NIH HHS 1SC2HL101430NHLBI NIH HHS HHSN268201000036CNHLBI NIH HHS N01-HV-00244NHLBI NIH HHS R01 HL-075360NHLBI NIH HHS R01 HL075360NHLBI NIH HHS SC2 HL101430NIAID NIH HHS AI48644NIAID NIH HHS R01 AI048644NIAMS NIH HHS AR052755NIAMS NIH HHS R01 AR052755NIBIB NIH HHS EB009496NIBIB NIH HHS R03 EB009496
6 · The paper itself

Abstract

backgroundWe have previously shown that cardiac sarcopenia occurs with age in C57/BL6J mice. However, underlying mechanisms and plasma biomarkers of cardiac aging have not been identified. Accordingly, the objective of this study was to identify and evaluate plasma biomarkers that reflect cardiac aging phenotypes. METHODS AND

resultsPlasma from adult (7.5±0.5 months old, n=27) and senescent (31.7±0.5 months old, n=25) C57/BL6J mice was collected, and levels of 69 markers were measured by multi-analyte profiling. Of these, 26 analytes were significantly increased and 3 were significantly decreased in the senescent group compared with the adult group. The majority of analytes that increased in the senescent group were inflammatory markers associated with macrophage functions, including matrix metalloproteinase-9 (MMP-9) and monocyte chemotactic protein-1 (MCP-1/CCL-2). Immunoblotting (n=12/group) showed higher MMP-9 and MCP-1 levels in the left ventricle (LV) of senescent mice (P<0.05), and their expression levels in the LV correlated with plasma levels (ρ=0.50 for MMP-9 and ρ =0.62 for MCP1, P<0.05). Further, increased plasma MCP-1 and MMP-9 levels correlated with the increase in end-diastolic dimensions that occurs with senescence. Immunohistochemistry (n=3/group) for Mac-3, a macrophage marker, showed increased macrophage densities in the senescent LV, and dual-labeling immunohistochemistry of Mac-3 and MMP-9 revealed robust colocalization of MMP-9 to the macrophages in the senescent LV sections, indicating that the macrophage is a major contributor of MMP-9 in the senescent LV.

conclusionsOur results suggest that MCP-1 and MMP-9 are potential plasma markers for cardiac aging and that augmented MCP-1 and MMP-9 levels and macrophage content in the LV could provide an underlying inflammatory mechanism of cardiac aging.

Indexed as

AgingAnimalsBiomarkersChemokine CCL2HeartHeart VentriclesInflammationMacrophagesMatrix Metalloproteinase 9MiceMice, Inbred C57BLBiomarkersChemokine CCL2Matrix Metalloproteinase 9

Identifiers

PMID21685172
PMCPMC3158732
OpenAlexW2131087908

What OpenQuestion holds

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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.