Evidence mapPaperPMID 38329533Full record

ReviewSkeletal radiology2024

Musculoskeletal imaging of senescence.

Heike E Daldrup-Link, Vidyani Suryadevara, Yasemin Tanyildizi, Kerem Nernekli, Jian-Hong Tang, Thomas J Meade

Abstract readReview
In one paragraph

Review in Skeletal radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

6 authors.

Heike E Daldrup-LinkDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, USA. heiked@stanford.edu.ORCID http://orcid.org/0000-0002-4929-819X
Vidyani SuryadevaraDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, USA.
Yasemin TanyildiziDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, USA.
Kerem NernekliDepartment of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, USA.
Jian-Hong TangDepartment of Chemistry, Northwestern University, Evanston, USA.
Thomas J MeadeDepartment of Chemistry, Northwestern University, Evanston, USA.

Funding

Common Fund UH3CA268112NCI NIH HHS UG3 CA268112NCI NIH HHS UH3 CA268112NIAMS NIH HHS R01 AR054458
6 · The paper itself

Abstract

Senescent cells play a vital role in the pathogenesis of musculoskeletal (MSK) diseases, such as chronic inflammatory joint disorders, rheumatoid arthritis (RA), and osteoarthritis (OA). Cellular senescence in articular joints represents a response of local cells to persistent stress that leads to cell-cycle arrest and enhanced production of inflammatory cytokines, which in turn perpetuates joint damage and leads to significant morbidities in afflicted patients. It has been recently discovered that clearance of senescent cells by novel "senolytic" therapies can attenuate the chronic inflammatory microenvironment of RA and OA, preventing further disease progression and supporting healing processes. To identify patients who might benefit from these new senolytic therapies and monitor therapy response, there is an unmet need to identify and map senescent cells in articular joints and related musculoskeletal tissues. To fill this gap, new imaging biomarkers are being developed to detect and characterize senescent cells in human joints and musculoskeletal tissues. This review article will provide an overview of these efforts. New imaging biomarkers for senescence cells are expected to significantly improve the specificity of state-of-the-art imaging technologies for diagnosing musculoskeletal disorders.

Indexed as

Cellular SenescenceBiomarkersHumansMusculoskeletal DiseasesBiomarkersActivatable MRI contrast agentsSenescence imagingβ-Galactosidase imaging

Identifiers

PMID38329533
PMCPMC11303117

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.