Evidence map›Paper›PMID 35937683›Full record

ArticleFrontiers in cellular and infection microbiology2022

Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2.

Ilhame Diboun, Farhan S Cyprian, Najeha Rizwana Anwardeen, Hadi M Yassine, Mohamed A Elrayess, Samreen Mumtaz Rahmoon, Sarah Khaled Sayed, Sven Schuchardt, Malkan Khatib, Devendra Bansal and 3 more

Open access · greenAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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, top 100% 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

7 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Biomarker discovery for tuberculosis using metabolomics.Frontiers in molecular biosciences · 2023
    Review
  6. Review
  7. Immunopathogenesis in SARS-CoV-2 andFrontiers in pharmacology · 2022
    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

13 authors at 3 institutions in 2 countries.

Ilhame DibounMedical and Population Genomics Lab, Sidra Medicine, Doha, Qatar.
Farhan S CyprianDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Najeha Rizwana AnwardeenBiomedical Research Center (BRC), QU Health, Qatar University, Doha, Qatar.
Hadi M YassineBiomedical Research Center (BRC), QU Health, Qatar University, Doha, Qatar.
Mohamed A ElrayessBiomedical Research Center (BRC), QU Health, Qatar University, Doha, Qatar.
Samreen Mumtaz RahmoonDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Sarah Khaled SayedDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Sven SchuchardtFraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Hannover, Germany.
Malkan KhatibDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Devendra BansalDepartment of Public Health, Ministry of Public Health, Doha, Qatar.
Elmoubashar Abu Baker Abd FaragDepartment of Public Health, Ministry of Public Health, Doha, Qatar.
Mohamed M EmaraDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Abdallah M AbdallahDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Qatar University · QAMinistry of Public Health · QAFraunhofer Institute for Toxicology and Experimental Medicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection currently remains one of the biggest global challenges that can lead to acute respiratory distress syndrome (CARDS) in severe cases. In line with this, prior pulmonary tuberculosis (TB) is a risk factor for long-term respiratory impairment. Post-TB lung dysfunction often goes unrecognized, despite its relatively high prevalence and its association with reduced quality of life. In this study, we used a metabolomics analysis to identify potential biomarkers that aid in the prognosis of COVID-19 morbidity and mortality in post-TB infected patients. This analysis involved blood samples from 155 SARS-CoV-2 infected adults, of which 23 had a previous diagnosis of TB (post-TB), while 132 did not have a prior or current TB infection. Our analysis indicated that the vast majority (~92%) of post-TB individuals showed severe SARS-CoV-2 infection, required intensive oxygen support with a significantly high mortality rate (52.2%). Amongst individuals with severe COVID-19 symptoms, we report a significant decline in the levels of amino acids, notably the branched chains amino acids (BCAAs), more so in the post-TB cohort (FDR <= 0.05) in comparison to mild and asymptomatic cases. Indeed, we identified betaine and BCAAs as potential prognostic metabolic biomarkers of severity and mortality, respectively, in COVID-19 patients who have been exposed to TB. Moreover, we identified serum alanine as an important metabolite at the interface of severity and mortality. Hence, our data associated COVID-19 mortality and morbidity with a long-term metabolically driven consequence of TB infection. In summary, our study provides evidence for a higher mortality rate among COVID-19 infection patients who have history of prior TB infection diagnosis, which mandates validation in larger population cohorts.

Indexed as

COVID-19TuberculosisAdultAlanineHumansMorbidityPrognosisQuality of LifeSARS-CoV-2AlaninebiomarkersCOVID-19 disease severitymetabolomicspost-tuberculosis long-term consequencestuberculosis

Identifiers

PMID35937683
PMCPMC9354137
OpenAlexW35937683

What OpenQuestion holds

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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.