Evidence map›Paper›PMID 38892017›Full record

ArticleInternational journal of molecular sciences2024

Ageing and Polypharmacy in Mesenchymal Stromal Cells: Metabolic Impact Assessed by Hyperspectral Imaging of Autofluorescence.

Chandrasekara M N Chandrasekara, Gizem Gemikonakli, John Mach, Rui Sang, Ayad G Anwer, Adnan Agha, Ewa M Goldys, Sarah N Hilmer, Jared M Campbell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Chandrasekara M N ChandrasekaraGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Gizem GemikonakliLaboratory of Ageing and Pharmacology, Kolling Institute, Northern Sydney Local Health District and Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia.ORCID 0000-0003-2594-7316
John MachLaboratory of Ageing and Pharmacology, Kolling Institute, Northern Sydney Local Health District and Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia.
Rui SangGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Ayad G AnwerGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-2029-1023
Adnan AghaGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Ewa M GoldysGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Sarah N HilmerLaboratory of Ageing and Pharmacology, Kolling Institute, Northern Sydney Local Health District and Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia.
Jared M CampbellGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0003-0163-4251

Funding

Australian Research Council DP170101863Australian Research Council DP210102960Penney Ageing Research Unit
6 · The paper itself

Abstract

The impact of age on mesenchymal stromal cell (MSC) characteristics has been well researched. However, increased age is concomitant with increased prevalence of polypharmacy. This adjustable factor may have further implications for the functionality of MSCs and the effectiveness of autologous MSC procedures. We applied hyperspectral microscopy of cell autofluorescence-a non-invasive imaging technique used to characterise cytometabolic heterogeneity-to identify changes in the autofluorescence signals of MSCs from (1) young mice, (2) old mice, (3) young mice randomised to receive polypharmacy (9-10 weeks of oral therapeutic doses of simvastatin, metoprolol, oxycodone, oxybutynin and citalopram), and (4) old mice randomised to receive polypharmacy. Principal Component Analysis and Logistic Regression Analysis were used to assess alterations in spectral and associated metabolic characteristics. Modelling demonstrated that cells from young mice receiving polypharmacy had less NAD(P)H and increased porphyrin relative to cells from old control mice, allowing for effective separation of the two groups (AUC of ROC curve > 0.94). Similarly, cells from old polypharmacy mice were accurately separated from those from young controls due to lower levels of NAD(P)H (

Indexed as

AgingMesenchymal Stem CellsPolypharmacyAnimalsMaleMiceNADPOptical ImagingNADPagingautofluorescencemesenchymal stem cellnon-invasive imagingpolypharmacyspectral microscopy

Identifiers

PMID38892017
PMCPMC11171960

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.