Evidence map›Paper›PMID 34578468›Full record

ReviewViruses2021

COVID-19: Mechanistic Model of the African Paradox Supports the Central Role of the NF-κB Pathway.

Ralf Kircheis, Manfred Schuster, Oliver Planz

Abstract readReview
In one paragraph

Review in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

3 authors.

Ralf KircheisSyntacoll GmbH, 93342 Saal an der Donau, Germany.ORCID 0000-0003-4863-6705
Manfred SchusterAGES GmbH, 1200 Vienna, Austria.
Oliver PlanzInstitute of Cell Biology and Immunology, Eberhard Karls University Tuebingen, 72076 Tuebingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has expanded into a global pandemic, with more than 220 million affected persons and almost 4.6 million deaths by 8 September 2021. In particular, Europe and the Americas have been heavily affected by high infection and death rates. In contrast, much lower infection rates and mortality have been reported generally in Africa, particularly in the sub-Saharan region (with the exception of the Southern Africa region). There are different hypotheses for this African paradox, including less testing, the young age of the population, genetic disposition, and behavioral and epidemiological factors. In the present review, we address different immunological factors and their correlation with genetic factors, pre-existing immune status, and differences in cytokine induction patterns. We also focus on epidemiological factors, such as specific medication coverage, helminth distribution, and malaria endemics in the sub-Saharan region. An analysis combining different factors is presented that highlights the central role of the NF-κB signaling pathway in the African paradox. Importantly, insights into the interplay of different factors with the underlying immune pathological mechanisms for COVID-19 can provide a better understanding of the disease and the development of new targets for more efficient treatment strategies.

Indexed as

Host-Pathogen InteractionsAfricaAngiotensin-Converting Enzyme 2BiomarkersComorbidityCOVID-19CytokinesDisease SusceptibilityGeography, MedicalGlobal HealthHumansMortalityNF-kappa BPopulation SurveillanceSARS-CoV-2Signal TransductionACE2 protein, humanAngiotensin-Converting Enzyme 2BiomarkersCytokinesNF-kappa BAfrican paradoxchemokineCOVID-19cytokine stormDuffy antigen receptor for chemokines (DARC)helminth infectionmacrophage polarizationmalaria incidenceNF-κBSARS-CoV-2

Identifiers

PMID34578468
PMCPMC8473087

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.