Cited by 61Frailty in Older AdultsGenetics, Aging, and Longevity in Model OrganismsImmune Response and Inflammation

Upregulated ex vivo expression of stress-responsive inflammatory pathway genes by LPS-challenged CD14(+) monocytes in frail older adults

Open access
Qu, Tao, Walston, Jeremy D., Yang, Huanle, Fedarko, Neal S., Xue, Qian-Li, Beamer, Brock A., Ferrucci, Luigi, Rose, Noel R. +1 more·2009·Mechanisms of Ageing and Development

Abstract

Frailty has been increasingly recognized as an important clinical syndrome in old age. The frailty syndrome is characterized by chronic inflammation, decreased functional and physiologic reserve, and increased vulnerability to stressors, leading to disability and mortality. However, molecular mechanisms that contribute to inflammation activation and regulation in frail older adults have not been investigated. To begin to address this, we conducted a pathway-specific gene array analysis of 367 inflammatory pathway genes by lipopolysaccharide (LPS)-challenged CD14(+) monocytes from 32 community-dwelling frail and age-, race-, and sex-paired nonfrail older adults (mean age 83 years, range 72-94). The results showed that ex vivo LPS-challenge induced average 2.0-fold or higher upregulated expression of 116 genes in frail participants and 85 genes in paired nonfrail controls. In addition, frail participants had 2-fold or higher upregulation in LPS-induced expression of 7 stress-responsive genes than nonfrail controls with validation by quantitative real time RT-PCR. These findings suggest upregulated expression of specific stress-responsive genes in monocyte-mediated inflammatory pathway in the syndrome of frailty with potential mechanistic and interventional implications.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.mad.2008.10.005

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several inflammatory markers-IL-6, CRP, TNFα and CXCL-10 among them-have each been independently linked to frailty.

    “A range of inflammatory cytokines have been independently associated with frailty including interleukin-6 (IL-6), C-reactive protein (CRP), tumour necrosis factor-α (TNFα) and CXC chemokine ligand-10 (CXCL-10), a potent pro-inflammatory mediator (52, 54-58).”

    From Frailty in elderly people (2013) · cites this paper as [56]

  • Inflammation appears central to frailty via an abnormal low-grade state that overreacts to stimuli and remains active long after the trigger is gone.

    “There is evidence that inflammation has a key role in the pathophysiology of frailty through an abnormal, low-grade inflammatory response that is hyper-responsive to stimuli and that persists for a prolonged period following removal of the initial inflammatory stimulus (19, 52-57).”

    From Frailty in elderly people (2013) · cites this paper as [56]

  • Classical monocytes from frail older adults show increased expression of inflammation-associated genes after LPS stimulation compared with non-frail older adults.

    “Classical monocytes isolated from frail older adults had increased inflammatory associated genes in response to LPS as compared to non-frail older adults (140).”

    From The impact of ageing on monocytes and macrophages (2021) · cites this paper as [140]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Fried LP, Walston J. Frailty. In: Halter JB, editor. Hazzard’s Principles of Geriatric Medicine and Gerontology. McGraw-Hill; Anne Arbor: 2007. [Google Scholar]

Cited by

Sorted by citations

Authors
Qu, T., Walston, J. D., Yang, H., Fedarko, N. S., Xue, Q.-L., Beamer, B. A., Ferrucci, L., Rose, N. R., & Leng, S. X.
Affiliations
  • Johns Hopkins University (US)
  • National Institute on Aging (US)
Corresponding author
Leng, Sean X.
Venue
Mechanisms of Ageing and Development
Publisher
Elsevier BV
Published
2009-03
Volume
130
Issue
3
Pages
161-166
ISSN
0047-6374 (ISSN-L)
OpenAlex
W2051391870
Cited by
61
References
41
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 3 · 2020: 6 · 2019: 5 · 2018: 1 · 2017: 5 · 2016: 4 · 2015: 4 · 2014: 2 · 2013: 3 · 2012: 1
FWCI
2.17
Type
journal article
Language
en
Open access
Locations
  • Mechanisms of Ageing and Development (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (Z99 AG999999)
  • National Institute on Aging (R21AG024235, K23AG028963)
Topics
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
Keywords
frailty, older adults, CD14+ monocytes, lipopolysaccharide challenge, stress response genes, chronic inflammation, gene expression, monocyte activation
MeSH terms
Age Factors, Aged, Aged, 80 and over, Aging, Cells, Cultured, Female, Humans, Inflammation, Lipopolysaccharides, Male, Monocytes, Stress, Physiological, Reproducibility of Results, Up-Regulation, Case-Control Studies, Polymerase Chain Reaction, Frail Elderly, Inflammation Mediators, Lipopolysaccharide Receptors, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review