ArticleAmerican journal of stem cells2022
Defects in energy metabolism are associated with functional exhaustion of bone marrow mesenchymal stem cells in cirrhosis.
Article in American journal of stem cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01902511 (A Trial to Study the Influence of Growth Factors on Bone Marrow and Hepatic Regeneration in Patients With Decompensated Cirrhosis.), which is not on this map. Cited by 3 papers.
What it found
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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.
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.
A Trial to Study the Influence of Growth Factors on Bone Marrow and Hepatic Regeneration in Patients With Decompensated Cirrhosis.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Targeting Endogenous Lipophagy: A Novel Strategy to Enhance MSC Osteogenesis and Mineralization for Senile Osteoporosis Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Rejuvenating bone marrow hematopoietic reserve prevents regeneration failure and hepatic decompensation in animal model of cirrhosis.Frontiers in immunology · 2024Article
- Evaluation of Current Studies to Elucidate Processes in Dental Follicle Cells Driving Osteogenic Differentiation.Biomedicines · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesCellular and functional exhaustion of bone marrow mesenchymal stem cells (BM-MSC) is significantly associated with the loss of HSCs and hepatic osteodystrophy in cirrhosis. The molecular mechanisms underlying the dysfunction of BM-MSCs are not well understood. We investigated the underlying mechanisms of cellular and functional exhaustion of BM-MSCs in cirrhosis.
methodsThe MSCs were isolated retrospectively from bone marrow of decompensated alcoholic cirrhosis patients {(Trial registration: ClinicalTrials.gov NCT01902511) (n=10; MELD=16.2±2.3; CTP=8.7±2.3)} and age and gender-matched healthy controls (n=8). Global gene expression profile of healthy bone marrow MSCs (hBM-MSCs) and cirrhosis patients BM-MSCs (cBM-MSCs) were done by mRNA sequencing. XFe24-bioanalyzer analyzed the bioenergetic potential of cells. Level of different cytokines and growth factors in BM-plasma and MSCs secretome were analyzed by Luminex-based bead array.
resultsAnalysis of differentially expressed genes showed significant (P<0.01) up-regulation of genes associated with ubiquitination and catabolism of proteins; TNF signaling, insulin resistance, and down-regulation of genes associated with DNA repair, protein processing, cell cycle, and mitochondrial respiration in cBM-MSCs in comparison to hBM-MSCs. Compared to hBM-MSCs, cBM-MSCs showed a significant defect in glycolysis due to insulin resistance and poor glucose uptake (P=0.002). This led to compromised self-renewal capacity and cellular loss of MSCs in cirrhosis. cBM-MSCs also showed a significant impairment in Oxidative phosphorylation (OXPHOS) due to mitochondrial dysfunction leading to defects in the osteogenic differentiation with early aging and senescence.
conclusionCompromised energy metabolism due to inflammatory and metabolic stress-induced insulin resistance underlies the cellular and functional exhaustion of BM-MSCs in cirrhosis.
Indexed as
Identifiers
35295591PMC8918418W4226208453What OpenQuestion holds
Registered trials
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.