Evidence map›Paper›PMID 42564866›Full record

ArticleBiochemistry and biophysics reports2026

Metabolic phenotype and patient characteristics associate with inter-donor variability of osteogenic differentiation in human adipose stem cells.

Abdus Sattar, Justus P Beier, Tim Ruhl

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Abdus SattarDepartment of Plastic Surgery, Hand Surgery-Burn Center, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen, 52074, Germany.
Justus P BeierDepartment of Plastic Surgery, Hand Surgery-Burn Center, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen, 52074, Germany.
Tim RuhlDepartment of Plastic Surgery, Hand Surgery-Burn Center, University Hospital RWTH Aachen, Pauwelsstraße 30, Aachen, 52074, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose-derived stem/stromal cells (ASCs) are promising candidates for bone tissue engineering due to their abundance, accessibility, and osteogenic differentiation capacity. However, substantial inter-donor variability limits their standardized clinical application. This study investigated whether metabolic characteristics and donor-related parameters are associated with ASC osteogenic differentiation potential. ASCs were isolated from human subcutaneous adipose tissue (n = 26) and cultured under osteogenic conditions. Cell viability was evaluated at days 2 and 14, including cell proliferation (crystal violet staining), overall metabolic activity (resazurin conversion), as well as glucose uptake (2-NBDG) and mitochondrial membrane potential (TMRE). Osteogenesis was quantified by alkaline phosphatase activity, calcium deposition, and secretion of SPARC and osteocalcin (BGLAP). Osteogenic induction significantly enhanced osteogenic markers and mineralization across donors and was accompanied by a distinct metabolic phenotype characterized by reduced per-cell metabolic activity and glucose uptake, and elevated mitochondrial membrane potential. Early (day 2) metabolic parameters did not predict subsequent mineralization capacity, whereas metabolic activity at day 14 correlated inversely with calcium deposition. Donor age, body mass index, and blood glucose levels were not associated with osteogenic outcomes. These findings indicated that inter-donor variability in ASC osteogenesis was accompanied by a characteristic late-stage metabolic signature and suggested that metabolic profiling may support functional characterization of osteogenic differentiation potential.

Indexed as

Bone tissue engineeringDifferentiationGlycolysisMesenchymal stem cellsMetabolismMitochondrial membrane potential

Identifiers

PMID42564866
PMCPMC13445514

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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.