Evidence map›Paper›PMID 36418713›Full record

ArticleApplied biochemistry and biotechnology2023

GC-MS and Network Pharmacology Analysis of the Ayurvedic Fermented Medicine, Chandanasava, Against Chronic Kidney and Cardiovascular Diseases.

Annadurai Vinothkanna, Ragothaman Prathiviraj, Thasma Raman Sivakumar, Yongkun Ma, Soundarapandian Sekar

Open access · bronzeAbstract read
In one paragraph

Article in Applied biochemistry and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 19 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 3 institutions in 2 countries.

Annadurai VinothkannaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China. a.vinothcellbio@gmail.com.
Ragothaman PrathivirajDepartment of Microbiology, Pondicherry University, Puducherry, 605014, India.
Thasma Raman SivakumarInstitute of Life Sciences, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Yongkun MaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China. mayongkun@ujs.edu.cn.
Soundarapandian SekarDepartment of Biotechnology, Bharathidasan University, Tiruchirappalli, 620 024, Tamil Nadu, India.
Jiangsu University · CNBharathidasan University · INPondicherry University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chandanasava is an Ayurvedic polyherbal fermented traditional medicine (FTM) used by traditional practitioners for millennia. Nevertheless, the mode of action and functional targets are still unknown. The current study includes a pharmacological network analysis to identify the Chandanasava compounds interacting with target proteins involved in chronic kidney disease (CKD) and cardiovascular disease (CVD). Sixty-one Chandanasava phytochemicals were obtained by GC-MS and screened using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). The disease target genes were obtained from DisGeNET and GeneCards databases. Forty-five phytocompounds and 135 potential targets were screened for CKD and CVD target proteins and protein interaction networks were constructed. The pharmacological network was deciphered employing target proteins involved in the mechanical action of Chandanasava. The results indicated that 10 bioactive compounds exhibited higher binding affinity patterns with the screened 42 CKD and CVD target proteins. Gene Ontology and KEGG analysis revealed target pathways involved in CKD and CVD, which were further explored by detailed analysis and network-coupled drug profile screening. The molecular docking results showed piperine and melatonin as effective inhibitors/regulators of the hub genes of CKD and CVD. The current study establishing authentic bioactive compounds in FTM is based on deeper insights into recognized Ayurvedic medicines. Representing the workflow of the network pharmacological analysis.

Indexed as

Cardiovascular DiseasesDrugs, Chinese HerbalRenal Insufficiency, ChronicGas Chromatography-Mass SpectrometryHumansKidneyMedicine, Chinese TraditionalMolecular Docking SimulationNetwork PharmacologyDrugs, Chinese HerbalDrug-protein interaction networkGC–MS analysisMolecular docking studiesNetwork pharmacologyPhytoactive chemical screeningProtein–protein interaction network

Identifiers

PMID36418713
PMCPMC9684947
OpenAlexW4309865875

What Socratic 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 Socratic graph.