Evidence map›Paper›PMID 34308785›Full record

ArticlePathogens and global health2022

Sequential dysregulated plasma levels of angiopoietins (ANG-2 and ratios of ANG-2/ANG-1) are associated with malaria severity and mortality among hospital admitted cases in South Bastar Region of Chhattisgarh, Central India.

Vidhan Jain, Trilok Thomas, Sanjay Basak, Ravendra Kumar Sharma, Neeru Singh

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Article in Pathogens and global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Vidhan JainDepartment of Virology and Zoonotic Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur, MP, India.
Trilok ThomasDepartment of Virology and Zoonotic Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur, MP, India.
Sanjay BasakFormer District Malaria Officer, Maharani Hospital and Associated Medical College Jagdalpur, Chhattisgarh, India.
Ravendra Kumar SharmaDepartment of Statistics, ICMR-National Institute of Medical Statistics, ICMR Campus, New Delhi, India.
Neeru SinghDepartment of Virology and Zoonotic Diseases, ICMR-National Institute of Research in Tribal Health, Jabalpur, MP, India.
National Institute for Research in Tribal Health · INNational Institute of Medical Statistics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral malaria (CM) is one of the most severe forms of P. falciparum infection, with an associated high case-fatality rate. Angiopoietins (ANG-1 and ANG-2) are important biomarkers of endothelial activation and dysfunction. This study was carried out in Maharani Hospital and associated Medical College, Jagdalpur, CG, Central India from 2010 to 2014. Based on the treatment recovery patterns, cases (n = 65) were classified as mild malaria with rapid recovery (MM-RR), n= 14; non-cerebral severe malaria with moderately fast recovery (NCSM-MFR), n= 9; CM survivors with slow recovery (CMS-SR), n= 36 and deteriorated CM non-survivors (Det-CMNS), n= 6. Plasma levels (pg/ml) of ANG-1 and ANG-2 were measured by ELISA in all the samples at the time of hospital admission and 48 hours of treatment. Levels were also measured in available samples at the third time point (time of discharge for survivors or 72 hours post-treatment in fatal cases). Data analysis was done by appropriate statistical tests using Stata 11.0 and SPSS 25.0 software. At the time of admission, ANG-2 and ratios of ANG-2/ANG-1 significantly distinguished Det-CMNS cases from MM-RR and NCSM-MFR cases with good AUC scores (0.8-0.9). Further, Det-CMNS cases could also be distinguished from MM-RR, NCSM-MFR, and CMS-SR cases by ANG-2 (AUC scores 0.9) and ratios of ANG-2/ANG-1 (AUC: 0.8-0.9) at 48 hours of treatment. Paired analysis of sequential measurement of angiopoietins revealed that compared to admission levels, the ratios of ANG-2/ANG-1 significantly declined 48 hours after treatment in MM-RR (p= 0.041), NCSM-MFR (p= 0.050), and CMS-SR (p= 0.0002) cases but not in cases of Det-CMNS (p= 0.916). In conclusion, plasma levels of ANG-2 and ratios of ANG-2/ANG-1 may serve as good biomarkers to distinguish the malaria severity at the time of hospital admission and recovery patterns upon treatment in Central India.

Indexed as

Malaria, CerebralMalaria, FalciparumAngiopoietinsBiomarkersHospitalsHumansIndiaAngiopoietinsBiomarkersangiopoietinscentral indiasequential measurementSevere malaria

Identifiers

PMID34308785
PMCPMC8812749
OpenAlexW3187006151

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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.