Evidence map›Paper›PMID 30715693›Full record

ReviewGeroScience2020

Raman fingerprints as promising markers of cellular senescence and aging.

Lisa Liendl, Johannes Grillari, Markus Schosserer

Abstract readReview
In one paragraph

Review in GeroScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Cutaneous Melanoma in the Context of Aging.Medicina (Kaunas, Lithuania) · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
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  17. 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

3 authors.

Lisa LiendlDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190, Vienna, Austria.
Johannes GrillariDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190, Vienna, Austria.
Markus SchossererDepartment of Biotechnology, University of Natural Resources and Life Sciences, Vienna, 1190, Vienna, Austria. markus.schosserer@boku.ac.at.ORCID 0000-0003-2025-0739

Funding

Austrian Science Fund FWF P 30623
6 · The paper itself

Abstract

Due to our aging population, understanding of the underlying molecular mechanisms constantly gains more and more importance. Senescent cells, defined by being irreversibly growth arrested and associated with a specific gene expression and secretory pattern, accumulate with age and thus contribute to several age-related diseases. However, their specific detection, especially in vivo, is still a major challenge. Raman microspectroscopy is able to record biochemical fingerprints of cells and tissues, allowing a distinction between different cellular states, or between healthy and cancer tissue. Similarly, Raman microspectroscopy was already successfully used to distinguish senescent from non-senescent cells, as well as to investigate other molecular changes that occur at cell and tissue level during aging. This review is intended to give an overview about various applications of Raman microspectroscopy to study aging, especially in the context of detecting senescent cells.

Indexed as

Cellular SenescenceNeoplasmsAgedAgingBiomarkersGene ExpressionHumansSpectrum Analysis, RamanBiomarkersBiomarkerCellular senescenceLabel-free imagingRaman microspectroscopySenolytic compoundsSkin aging

Identifiers

PMID30715693
PMCPMC7205846

What OpenQuestion holds

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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 OpenQuestion graph.