Evidence map›Paper›PMID 40764381›Full record

ArticleScientific reports2025

Role of metabolomic changes in diagnosis and assessment of treatment response in acute myeloid leukemia.

Shabbir Hussain, Farhat Bano, Muhammad Ikram Ullah, Rahat Abdul Rehman, Kausar Bano, Muhammad Asif Naveed

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

6 authors.

Shabbir HussainDepartment of Biochemistry, University of Health Sciences, Lahore, 54600, Pakistan. ashas740@yahoo.com.
Farhat BanoDepartment of Biochemistry, University of Health Sciences, Lahore, 54600, Pakistan. farhatbano_2000@yahoo.com.
Muhammad Ikram UllahDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, 72388, Sakaka, Aljouf, Saudi Arabia.
Rahat Abdul RehmanDepartment of Forensic Medicine and Medical Jurisprudence, University of Health Sciences, Lahore, 54600, Pakistan.
Kausar BanoOncology Department, Jinnah Hospital, Allama Iqbal Medical College, Lahore, 54600, Pakistan.
Muhammad Asif NaveedDepartment of Hematology, University of Health Sciences, Lahore, 54600, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute Myeloid Leukemia (AML) is an aggressive cancer characterized by the rapid proliferation of abnormal myeloid cells. Despite advancements in treatment, patient outcomes remain variable, underscoring the need for more accurate diagnostic and prognostic tools. Metabolomics has gained attention for its potential to offer new insights into disease mechanisms and progression. This study aimed to compare metabolomic profiles between AML patients and normal controls, determine the diagnostic accuracy of different metabolites in AML patients, assess the diagnostic accuracy of specific metabolites in AML patients, and evaluate the prognostic significance of these metabolites at the first bone marrow follow-up. The cross-sectional study included 56 AML patients (sampled before and after chemotherapy) and 56 age- and sex-matched healthy controls. Whole blood and serum samples were collected from all participants after obtaining informed consent. Metabolomic analysis was performed using a Bruker 600 MHz NMR spectrometer. Results revealed significant metabolic alterations between AML patients and healthy controls, as well as in remission and non-remission groups. Key disrupted pathways included lipid metabolism, amino acid metabolism, and glycolysis (p < 0.05). Metabolite panels such as acetate, creatine, and lactate demonstrated strong diagnostic potential (AUC = 0.98), while citrate, glutamate, and choline panels (AUC = 0.89) showed prognostic utility in distinguishing patients from controls and remission from non-remission groups, respectively (p < 0.05). The study highlights significant metabolomic alterations in AML patients, marked by disruptions in lipid, energy, and amino acid metabolism, elevated glucose levels, and enhanced diagnostic and prognostic capabilities. These findings support the development of personalized diagnostic and therapeutic strategies.

Indexed as

Leukemia, Myeloid, AcuteMetabolomeMetabolomicsAdultAgedBiomarkers, TumorCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrognosisTreatment OutcomeYoung AdultBiomarkers, TumorAcute myeloid leukemiaDiagnostic biomarkersMetabolomicsNMRPrognostic biomarkers

Identifiers

PMID40764381
PMCPMC12325606

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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.