Evidence map›Paper›PMID 36111609›Full record

ReviewExpert reviews in molecular medicine2022

Possibilities of using T-cell biophysical biomarkers of ageing.

Blanca González-Bermúdez, Aldo Abarca-Ortega, Mónica González-Sánchez, Mónica De la Fuente, Gustavo R Plaza

Abstract readReview
In one paragraph

Review in Expert reviews in molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Blanca González-BermúdezCenter for Biomedical Technology, Universidad Politécnica de Madrid, E-28223 Pozuelo de Alarcón, Spain.ORCID 0000-0002-1266-0917
Aldo Abarca-OrtegaCenter for Biomedical Technology, Universidad Politécnica de Madrid, E-28223 Pozuelo de Alarcón, Spain.
Mónica González-SánchezDepartment of Genetics, Physiology and Microbiology, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, E-28040 Madrid, Spain.
Mónica De la FuenteDepartment of Genetics, Physiology and Microbiology, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, E-28040 Madrid, Spain.
Gustavo R PlazaCenter for Biomedical Technology, Universidad Politécnica de Madrid, E-28223 Pozuelo de Alarcón, Spain.ORCID 0000-0002-5555-5498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing is interrelated with the development of immunosenescence. This article focuses on one of the cell sets of the adaptive immune system, T cells, and provides a review of the known changes in T cells associated with ageing. Such fundamental changes affect both cell molecular content and internal ordering. However, acquiring a complete description of the changes at these levels would require extensive measurements of parameters and, furthermore, important fine details of the internal ordering that may be difficult to detect. Therefore, an alternative approach for the characterisation of cells consists of the performance of physical measurements of the whole cell, such as deformability measurements or migration measurements: the physical parameters, complementing the commonly used chemical biomarkers, may contribute to a better understanding of the evolution of T-cell states during ageing. Mechanical measurements, among other biophysical measurements, have the advantage of their relative simplicity: one single parameter agglutinates the complex effects of the variety of changes that gradually appear in cells during ageing.

Indexed as

ImmunosenescenceT-LymphocytesAgingBiomarkersHumansBiomarkersAgeingbiophysical biomarkerscell deformabilityimmunosenescenceT cell

Identifiers

PMID36111609
PMCPMC9884748

What Socratic holds

Textmetadata
LicenceCC BY
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.