Evidence map›Paper›PMID 33409839›Full record

ArticleMolecular neurobiology2021

Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19.

Kartikay Prasad, Suliman Yousef AlOmar, Saeed Awad M Alqahtani, Md Zubbair Malik, Vijay Kumar

Open access · bronzeAbstract read
In one paragraph

Article in Molecular neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 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

5 authors at 4 institutions in 3 countries.

Kartikay PrasadAmity Institute of Neuropsychology & Neurosciences, Amity University, Noida, 201303, India.
Suliman Yousef AlOmarDoping research chair, Department of Zoology, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Saeed Awad M AlqahtaniDepartment of Physiology, Faculty of Medicine, Taibah University, Medina, Saudi Arabia.
Md Zubbair MalikSchool of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India. zubbairmalik@jnu.ac.in.ORCID https://orcid.org/0000-0001-6693-0401
Vijay KumarAmity Institute of Neuropsychology & Neurosciences, Amity University, Noida, 201303, India. vkumar33@amity.edu.ORCID https://orcid.org/0000-0002-3621-5025
Amity University · INJawaharlal Nehru University · INKing Saud University · SATaibah University · SA

Funding

Department of Health and Research FTS No. 3146887Vice Deanship of Scientific Research Chairs 895
6 · The paper itself

Abstract

Although COVID-19 largely causes respiratory complications, it can also lead to various extrapulmonary manifestations resulting in higher mortality and these comorbidities are posing a challenge to the health care system. Reports indicate that 30-60% of patients with COVID-19 suffer from neurological symptoms. To understand the molecular basis of the neurologic comorbidity in COVID-19 patients, we have investigated the genetic association between COVID-19 and various brain disorders through a systems biology-based network approach and observed a remarkable resemblance. Our results showed 123 brain-related disorders associated with COVID-19 and form a high-density disease-disease network. The brain-disease-gene network revealed five highly clustered modules demonstrating a greater complexity of COVID-19 infection. Moreover, we have identified 35 hub proteins of the network which were largely involved in the protein catabolic process, cell cycle, RNA metabolic process, and nuclear transport. Perturbing these hub proteins by drug repurposing will improve the clinical conditions in comorbidity. In the near future, we assumed that in COVID-19 patients, many other neurological manifestations will likely surface. Thus, understanding the infection mechanisms of SARS-CoV-2 and associated comorbidity is a high priority to contain its short- and long-term effects on human health. Our network-based analysis strengthens the understanding of the molecular basis of the neurological manifestations observed in COVID-19 and also suggests drug for repurposing.

Indexed as

Gene Regulatory NetworksSARS-CoV-2Brain DiseasesCOVID-19Genetic Association StudiesHumansSystems BiologyCOVID-19Disease-gene interactionDrug repurposingHub genesNetwork biologyNeurologic comorbidity

Identifiers

PMID33409839
PMCPMC7787249
OpenAlexW3119977957

What OpenQuestion holds

Textmetadata
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.