Evidence map›Paper›PMID 36482311›Full record

ArticleBMC microbiology2022

Insights into metabolic and pharmacological profiling of Aspergillus ficuum through bioinformatics and experimental techniques.

Zafar Ali Shah, Khalid Khan, Haroon Ur Rashid, Tanzeel Shah, Mariusz Jaremko, Zafar Iqbal

Abstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Bioprospecting ofFrontiers in microbiology · 2024
    Review
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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

6 authors.

Zafar Ali ShahDepartment of Chemistry, Islamia College, Peshawar, KP, Pakistan.
Khalid KhanDepartment of Chemistry, Islamia College, Peshawar, KP, Pakistan. drkhalidchem@yahoo.com.
Haroon Ur RashidDepartment of Chemistry, Federal University of Santa Catarina, Florianopolis, SC, Brazil.
Tanzeel ShahInstitute of Basic Medical Sciences, Khyber Medical University, Peshawar, KP, Pakistan.
Mariusz JaremkoBiological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Makkah Province, 23955-6900, Saudi Arabia. Mariusz.jaremko@kaust.edu.sa.
Zafar IqbalDepartment of Agricultural Chemistry & Biochemistry, University of Agriculture, Peshawar, KP, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, numerous novel bioactive fungal metabolites have been identified that possess broad therapeutic activities including anti-inflammatory, antibiotic, antioxidant, and antitumor. The fungal mycochemicals as well as extracts have increased the interest of the scientific community in drug discovery research through a combination approach such as, molecular metabolic, pharmacological and computational techniques. Therefore, the natural fungus Aspergillus ficuum (A. ficuum) (FCBP-DNA-1266) was selected for metabolic and pharmacological profiling in this study.

resultsThe metabolic profile of A. ficuum was explored for the first time and revealed the presence of bioactive compounds such as choline sulfate, noruron, hydroxyvittatine, aurasperone D, cetrimonium, kurilensoside, heneicosane, nonadecane and eicosane. Similarly, a pharmacological screen of A. ficuum was performed for the first time in in vivo and in vitro models. Interestingly, both the ethyl acetate and n-hexane fractions of A. ficuum were found to be more active against Bacillus subtilis among five tested bacteria with their zone of inhibition (ZOI) values of 21.00 mm ±1.00 and 23.00 mm ±1.00, at a concentration of 150 μgmL

conclusionThe metabolic profile of A. ficuum indicated the presence of biological relevant compounds. A. ficuum extract exhibited potent antibacterial and anti-inflammatory effects supported by docking results. Furthermore, A. ficuum extract demonstrated the highest percentage of radical scavenging activity along with no acute toxicity.

Indexed as

Computational BiologyAcetatesAspergillusHexanesAcetatesethyl acetateHexanesn-hexaneAspergillus ficuumMetabolic ProfilingMolecular dockingPharmacological screening

Identifiers

PMID36482311
PMCPMC9733250

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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.