Evidence map›Paper›PMID 33204009›Full record

ArticleCommunications biology2020

Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity.

Vipin Kumar, Sandipan Ray, Shalini Aggarwal, Deeptarup Biswas, Manali Jadhav, Radha Yadav, Sanjeev V Sabnis, Soumaditya Banerjee, Arunansu Talukdar, Sanjay K Kochar and 4 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Multi-Omics Advancements towardsDiagnostics (Basel, Switzerland) · 2021
    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

14 authors at 3 institutions in 2 countries.

Vipin KumarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Sandipan RayDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.ORCID 0000-0002-9960-5768
Shalini AggarwalDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Deeptarup BiswasDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Manali JadhavDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Radha YadavDepartment of Mathematics, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Sanjeev V SabnisDepartment of Mathematics, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Soumaditya BanerjeeMedicine Department, Medical College Hospital Kolkata, 88, College Street, Kolkata, 700073, India.
Arunansu TalukdarMedicine Department, Medical College Hospital Kolkata, 88, College Street, Kolkata, 700073, India.
Sanjay K KocharDepartment of Medicine, Malaria Research Centre, S.P. Medical College, Bikaner, 334003, India.
Suvin ShettyDr. L H Hiranandani Hospital, Mumbai, 400076, India.
Kunal SehgalSehgal Path Lab, Mumbai, 400053, India.
Swati PatankarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India.
Sanjeeva SrivastavaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, 400076, India. sanjeeva@iitb.ac.in.
Indian Institute of Technology Bombay · INMedical College and Hospital, Kolkata · INSardar Patel Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of severe malaria remains a critical global challenge. In this study, using a multiplexed quantitative proteomics pipeline we systematically investigated the plasma proteome alterations in non-severe and severe malaria patients. We identified a few parasite proteins in severe malaria patients, which could be promising from a diagnostic perspective. Further, from host proteome analysis we observed substantial modulations in many crucial physiological pathways, including lipid metabolism, cytokine signaling, complement, and coagulation cascades in severe malaria. We propose that severe manifestations of malaria are possibly underpinned by modulations of the host physiology and defense machinery, which is evidently reflected in the plasma proteome alterations. Importantly, we identified multiple blood markers that can effectively define different complications of severe falciparum malaria, including cerebral syndromes and severe anemia. The ability of our identified blood markers to distinguish different severe complications of malaria may aid in developing new clinical tests for monitoring malaria severity.

Indexed as

AnemiaBiomarkersDengueHumansMalaria, FalciparumMalaria, VivaxProteomicsBiomarkers

Identifiers

PMID33204009
PMCPMC7672109
OpenAlexW3104460814

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.