Evidence map›Paper›PMID 35347173›Full record

ArticleScientific reports2022

An Untargeted LC-MS based approach for identification of altered metabolites in blood plasma of rheumatic heart disease patients.

Soumi Das, Yashwant Kumar, Shruti Sharma, Ruma Ray, Sudheer Arava, Sandeep Seth, Aman Agarwal, Gautam Sharma

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

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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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Soumi DasICMR National Institute of Pathology, Safdarjang Campus, Ansari Nagar, New Delhi, 110029, India.
Yashwant KumarTranslational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad-Gurugram Expressway, Faridabad, 121001, India.
Shruti SharmaICMR National Institute of Pathology, Safdarjang Campus, Ansari Nagar, New Delhi, 110029, India. shrutisharma.nip@gov.in.
Ruma RayDepartment of Pathology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Sudheer AravaDepartment of Pathology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Sandeep SethDepartment of Cardiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Aman AgarwalDepartment of Cardiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Gautam SharmaDepartment of Cardiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
All India Institute of Medical Sciences · INIndian Council of Medical Research · INNational Institute of Pathology · INTranslational Health Science and Technology Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatic heart disease (RHD) is often considered as a disease of developing countries and India is the home of about 40% of RHD patients. Environment seems to play a major role in its causation. Since gene environment interactions can lead to alterations of various metabolic pathways, identification of altered metabolites can help in understanding the various pathways leading to RHD. Blood plasma samples from 51 RHD and 49 healthy controls were collected for the study. Untargeted metabolomics approach was used to identify the metabolites that are altered in RHD patients. Data showed 25 altered metabolites among RHD patients. These altered metabolites were those involved in Purine, Glutamine, Glutamate, Pyrimidine, Arginine, Proline and Linoleic metabolism. Thus, the present study illuminates metabolic alterations among RHD patients which can help in determining the potential therapeutic targets.

Indexed as

Rheumatic Heart DiseaseBiomarkersChromatography, LiquidHumansPlasmaTandem Mass SpectrometryBiomarkers

Identifiers

PMID35347173
PMCPMC8960827
OpenAlexW4221068736

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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.