Evidence map›Paper›PMID 35625636›Full record

ArticleBiomolecules2022

A High Throughput Lipidomics Method Using

Akash Kumar Bhaskar, Salwa Naushin, Arjun Ray, Praveen Singh, Anurag Raj, Shalini Pradhan, Khushboo Adlakha, Towfida Jahan Siddiqua, Dipankar Malakar, Debasis Dash and 1 more

Abstract read
In one paragraph

Article in Biomolecules, 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Direct Comparison of MRM-MS and PRM-MS Methods for Quantitative Ganglioside Analysis.Journal of the American Society for Mass Spectrometry · 2026
    Article
  4. Article
  5. Lipidome Complexity in Physiological and Pathological Skin Pigmentation.International journal of molecular sciences · 2025
    Review
  6. Article
  7. 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

11 authors.

Akash Kumar BhaskarCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.
Salwa NaushinCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.
Arjun RayDepartment of Computational Biology, Indraprastha Institute of Information Technology, Okhla, New Delhi 110020, India.
Praveen SinghCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.
Anurag RajCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.ORCID 0000-0001-9656-8167
Shalini PradhanCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.
Khushboo AdlakhaCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.
Towfida Jahan SiddiquaCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.ORCID 0000-0002-1668-8538
Dipankar MalakarSCIEX, 121, Udyog Vihar, Phase IV, Gurgaon 122015, India.
Debasis DashCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.
Shantanu SenguptaCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics screening method using a combination of variable retention time window and relative dwell time weightage. Using this method, we identified more than 1000 lipid species within 24-min. The limit of detection varied from the femtomolar to the nanomolar range. About 883 lipid species were detected with a coefficient of variance <30%. We used this method to identify plasma lipids altered due to vitamin B12 deficiency and found a total of 18 lipid species to be altered. Some of the lipid species with ω-6 fatty acid chains were found to be significantly increased while ω-3 decreased in vitamin B12 deficient samples. This method enables rapid screening of a large number of lipid species in a single experiment and would substantially advance our understanding of the role of lipids in biological processes.

Indexed as

Fatty Acids, Omega-3LipidomicsLipidsMass SpectrometryVitaminsFatty Acids, Omega-3LipidsVitaminsdwell timeisomerslipidomicsmass spectrometryplasma lipidomescheduled MRMvariable RT windowvitamin B12

Identifiers

PMID35625636
PMCPMC9138805

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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.