Evidence map›Paper›PMID 40835725›Full record

ArticleScientific reports2025

NMR based clinical metabolomics revealed altered lipid and sugar metabolism in systemic sclerosis with implications for diagnosis and therapeutic strategies.

Gurvinder Singh, Sakir Ahmed, Durgesh Dubey, Mohit Kumar Rai, Atul Rawat, Vikas Agarwal, Dinesh Kumar

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 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

7 authors.

Gurvinder SinghCentre of Biomedical Research (CBMR), SGPGIMS Campus, Raibareli Road, Lucknow, 226014, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-0896-0896
Sakir AhmedDepartment of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, 226014, UP, India.ORCID http://orcid.org/0000-0003-4631-311X
Durgesh DubeyCentre of Biomedical Research (CBMR), SGPGIMS Campus, Raibareli Road, Lucknow, 226014, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-7360-4994
Mohit Kumar RaiDepartment of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, 226014, UP, India.ORCID http://orcid.org/0000-0002-9450-5696
Atul RawatCentre of Biomedical Research (CBMR), SGPGIMS Campus, Raibareli Road, Lucknow, 226014, Uttar Pradesh, India.ORCID http://orcid.org/0000-0001-7105-0281
Vikas AgarwalDepartment of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, 226014, UP, India. vikasagr@yahoo.com.ORCID http://orcid.org/0000-0002-4508-1233
Dinesh KumarCentre of Biomedical Research (CBMR), SGPGIMS Campus, Raibareli Road, Lucknow, 226014, Uttar Pradesh, India. dineshcbmr@gmail.com.ORCID http://orcid.org/0000-0001-8079-6739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic Sclerosis (SSc) is a complex autoimmune disorder characterized by vascular dysfunction, immune dysregulation, and progressive fibrosis of the skin and internal organs. Despite substantial research, its pathophysiology remains enigmatic, necessitating the identification of altered metabolic pathways to improve disease management. This study utilized NMR-based serum metabolomics to identify distinctive metabolic signatures and deranged pathways in SSc. 1D

Indexed as

Carbohydrate MetabolismLipid MetabolismMetabolomicsScleroderma, SystemicAdultAgedBiomarkersFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedROC CurveBiomarkersCirculatory biomarkersInositol pathway, mannosylationNMR based metabolomicsSystemic sclerosis

Identifiers

PMID40835725
PMCPMC12368016

What OpenQuestion holds

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Registered trials

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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.