Evidence map›Paper›PMID 41035257›Full record

ArticleBalkan medical journal2025

Fat Mass and Obesity-Associated Protein-Mediated Adipogenic Differentiation of Bone Marrow Mesenchymal Stem Cells Promotes Chemotherapy Resistance in Acute Myeloid Leukemia

Pan Zhipeng, Kang Lixia, Chen Ling

Abstract read
In one paragraph

Article in Balkan medical journal, 2025. 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
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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

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

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.

Pan ZhipengSchool of Medical Technology and Engineering of Fujian Medical University, Fujian, ChinaORCID 0000-0002-6630-6163
Kang LixiaDepartment of Clinical Laboratory, Fujian Medical University Union Hospital, Fujian, ChinaORCID 0000-0003-3094-6211
Chen LingFuzhou Second General Hospital, Fujian, ChinaORCID 0009-0004-0363-3257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chemotherapy resistance and relapse in acute myeloid leukemia (AML) are associated with poor prognosis. Bone marrow mesenchymal stem cells (MSCs) show enhanced adipogenic differentiation in AML, which may contribute to chemoresistance; however, the underlying mechanisms remain incompletely understood. Aims: To investigate how adipogenic differentiation of MSCs from chemotherapy-resistant AML patients (CR-AML-MSCs) promotes chemoresistance, focusing on the roles of the fat mass and obesity-associated protein (FTO) and the mTORC1 pathway. Study Design: Experimental study. Methods: This study compared bone marrow MSCs from chemotherapy-sensitive (CS) and CR AML patients. Adipogenic differentiation was assessed using Oil Red O staining. RNA sequencing, Quantitative real-time PCR (qPCR), and western blotting were employed to analyze expression of FTO, Raptor, and PPARγ. Global N6-methyladenosin (m6A) levels were measured, and co-culture models with AML cell lines (U937, HL-60, THP-1) were established to evaluate chemoresistance. Gain- and loss-of-function experiments for FTO were performed using lentiviral overexpression and shRNA knockdown. mTORC1 pathway involvement was tested using rapamycin. Statistical analyses included t-tests and ANOVA, with significance set at ( Results: CR-AML-MSCs exhibited significantly enhanced adipogenic differentiation ( Conclusion: FTO enhances adipogenic differentiation of CR-AML-MSCs through m

Indexed as

AdipogenesisAlpha-Ketoglutarate-Dependent Dioxygenase FTODrug Resistance, NeoplasmLeukemia, Myeloid, AcuteMesenchymal Stem CellsAdultCell DifferentiationFemaleHumansMaleMiddle AgedAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, human

Identifiers

PMID41035257
PMCPMC12576507

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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.