Evidence map›Paper›PMID 34751914›Full record

ReviewMolecular biology reports2022

Bioprospecting of microalgae metabolites against cytokine storm syndrome during COVID-19.

Che Lah Wan Afifudeen, Kit Yinn Teh, Thye San Cha

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Che Lah Wan AfifudeenSatreps-Cosmos Laboratory, Central Laboratory Complex, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.ORCID http://orcid.org/0000-0002-5478-3800
Kit Yinn TehSatreps-Cosmos Laboratory, Central Laboratory Complex, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.ORCID http://orcid.org/0000-0002-7477-9526
Thye San ChaFaculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia. cha_ts@umt.edu.my.ORCID http://orcid.org/0000-0003-4354-7754
Universiti Malaysia Terengganu · MY

Funding

Ministry of Higher Education Malaysia VOT 53222Science and Technology Research Partnership for Sustainable Development Equipments
6 · The paper itself

Abstract

In viral respiratory infections, disrupted pathophysiological outcomes have been attributed to hyper-activated and unresolved inflammation responses of the immune system. Integration between available drugs and natural therapeutics have reported benefits in relieving inflammation-related physiological outcomes and microalgae may be a feasible source from which to draw from against future coronavirus-infections. Microalgae represent a large and diverse source of chemically functional compounds such as carotenoids and lipids that possess various bioactivities, including anti-inflammatory properties. Therefore in this paper, some implicated pathways causing inflammation in viral respiratory infections are discussed and juxtaposed along with available research done on several microalgal metabolites. Additionally, the therapeutic properties of some known anti-inflammatory, antioxidant and immunomodulating compounds sourced from microalgae are reported for added clarity.

Indexed as

AnimalsAnti-Inflammatory AgentsAntioxidantsBioprospectingCOVID-19Cytokine Release SyndromeHumansInflammationMicroalgaeAnti-Inflammatory AgentsAntioxidantsAcute respiratory disease syndromeCOVID-19Lungs infectionNature therapeuticsSARS-CoV-2Symptoms suppressor

Identifiers

PMID34751914
PMCPMC8576090
OpenAlexW3211768356

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.