Evidence mapPaperPMID 40794151Full record

SynthesisMetabolomics : Official journal of the Metabolomic Society2025

Biomarker discovery in NAFLD: insights from metabolomics and vote counting meta-analysis.

Pallavi Mudgal, Sonu Kumar Gupta, Sunny Malik, Rinkal B Nith, Sunil Kumar, Rahul K, Kartikey Chaturvedi, Yashwant Kumar

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Pallavi MudgalTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001.
Sonu Kumar GuptaTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001.
Sunny MalikTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001.
Rinkal B NithTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001.
Sunil KumarDepartment of Chemistry, School of Basic and Applied Sciences, Lingaya's Vidyapeeth, Faridabad, Haryana, India, 121002.
Rahul KTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001.
Kartikey ChaturvediTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001.
Yashwant KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India, 121001. y.kumar@thsti.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite its prevalence and the significance of early diagnosis, non-alcoholic fatty liver disease (NAFLD), one of the most prevalent liver diseases globally and frequently linked to elements of metabolic syndrome, lacks robustly validated biomarkers for diagnosis, prognosis, and tracking of disease progression in response to a particular treatment.

objectiveThe aim of this study was to catalogue the metabolites from metabolomics data reported by different studies till date, and to find few majorly dysregulated metabolites that can potentially be used as progressive biomarkers of NAFLD in future.

methodsThe clinical data published during last 13 years was investigated and further curated from established databases of MEDLINE, EMBASE and PUBMED on NAFLD. A vote-counting method was used to perform a semi-quantitative meta-analysis of metabolites in serum/blood from NAFLD subjects.

resultsThis analysis unveiled the well-unprecedented changes in the metabolites of different classes as amino acids Valine, isoleucine, glutamate, tyrosine, alpha-ketoglutarate and phenylalanine were found to be up-regulated whereas glycine, serine and arginine were observed to be down-regulated. This investigation envisaged role of a few metabolites which were significantly distinct in the progression of NAFLD condition.

conclusionThis study highlighted the role of different metabolites in the progression of NAFLD condition. However, the analysis also reveals certain limitations requiring better standardization of metabolomics investigations, signifying errors and lacunas of metabolic databases in identification and reporting. Additionally, inadequate publicly accessible metabolomics data, limits the discovery potential of meta-analyses of clinical studies.

Indexed as

BiomarkersMetabolomicsNon-alcoholic Fatty Liver DiseaseAmino AcidsHumansAmino AcidsBiomarkersBiomarkerDifferential metabolitesMeta-analysisMetabolic profilingNon-alcoholic fatty liver

Identifiers

What Socratic holds

Textmetadata
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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.