Evidence map›Paper›PMID 32704253›Full record

ArticlePakistan journal of medical sciences

Assessment of cell free mitochondrial DNA as a biomarker of disease severity in different viral infections.

Zain Ali, Shahid Waseem, Riffat Aysha Anis, Mariam Anees

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 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

4 authors at 3 institutions in 3 countries.

Zain AliZain Ali, MPhil. Department of Biochemistry, Quaid-i-Azam University, Islamabad, Pakistan.
Shahid WaseemShahid Waseem, Ph.D. Alpha Genomics Private Limited, Islamabad, Pakistan.
Riffat Aysha AnisRiffat Aysha Anis, Ph.D. Institute of Diet and Nutritional Sciences, The University of Lahore, Islamabad Campus, Pakistan.
Mariam AneesMariam Anees, Ph.D. Department of Biochemistry, Quaid-i-Azam University, Islamabad, Pakistan.
Quaid-i-Azam University · PKID Genomics (United States) · USUniversity of Lahore · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCell Free mitochondrial DNA (CF mt-DNA) has emerged as a novel biomarker to investigate disease pathophysiology of different infections. The present study was designed to elucidate the association between CF mt-DNA, IL-6 and viral load in HIV, HBV and HCV infections and predict its role as a potential biomarker to assess the disease severity in viral infections.

methodsTotal 120 blood samples were collected from January 2018 to December 2018 of HIV, HBV and HCV patients and healthy controls (30 samples in each group). DNA and RNA were extracted from the serum to determine the levels of CF mt-DNA and viral load, respectively. IL-6 from the serum of infected individuals was quantified with ELISA.

resultsHCV patients showed the highest levels of CF mt-DNA, IL-6 and viral load, followed by HBV and HIV. Significant correlation was found between CF mt-DNA and IL-6 among the HBV patients (p=0.017). However, no significant correlation of CF mt-DNA was observed with IL-6 in HIV and HCV or with the viral load in any of the three infections.

conclusionElevated CF mt-DNA indicates its role in severity of viral infections. Independence of CF mt-DNA expression from viral load and IL-6 in case of HIV and HCV suggests involvement of other inflammatory pathways regulating CF mt-DNA elevation.

Indexed as

HBVHCVHIVInterleukin-6Mitochondrial DNA

Identifiers

PMID32704253
PMCPMC7372646
OpenAlexW3036549253

What OpenQuestion holds

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LicenceCC BY
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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.