PMID- 37817655
OWN - NLM
STAT- Publisher
LR  - 20231020
IS  - 1875-6220 (Electronic)
IS  - 1570-1638 (Linking)
DP  - 2023 Oct 10
TI  - Nutritional Profile, GC-MS Analysis and In-silico Anti-diabetic Phytocompounds 
      Candidature of Jatropha gossypifolia Leaf Extracts.
LID - 10.2174/0115701638267143230925172207 [doi]
AB  - BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder known to impair many 
      physiological functions via reactive oxygen species (ROS). Aldose reductase, 
      sorbitol dehydrogenase, dipeptidyl peptidase IV, alpha-amylase and alpha-glucosidase are 
      pharmacotherapeutic protein targetsin type-2 diabetes mellitus (T2DM). Inhibitors 
      of these enzymes constitute a new class of drugs used in the management and 
      treatment of T2DM. Some reports have claimed that medicinal plant extracts that 
      serves as food (and as an antioxidant source) can reduce these alterations by 
      eliminating ROS caused by DM. Ethnobotanical survey claims Jatropha gossypifolia 
      commonly called "fig-nut" and "Lapa- lapa" in the Yoruba land of South-western 
      Nigeria, to be used for the treatment and management of diabetes, in addition to 
      its nutritive value. OBJECTIVE: The nutritional composition and in-silico 
      antidiabetic potential of the bioactive constituents of J. gossypifolia leaf 
      extracts were investigated. METHODS: Proximate, minerals and gas 
      chromatography-mass spectroscopy (GC-MS) analysis were carried out using standard 
      procedures. Phytocompounds present in J. gossypifolia methanol (JGM) and ethyl 
      acetate (JGE) leaf extracts were tested as potential antagonists of selected 
      protein targets via in-silico techniques. Drug-likeness, pharmacokinetic 
      properties and toxicity of the promising docked ligands were also predicted. 
      RESULTS: Proximate, minerals and gas chromatography-mass spectroscopy (GC-MS) 
      analysis were carried out using standard procedures. Phytocompounds present in J. 
      gossypifolia methanol (JGM) and ethyl acetate (JGE) leaf extracts were tested for 
      their potential antagonistic effects on selected protein targets via in-silico 
      techniques. Drug-likeness, pharmacokinetic properties and toxicity of the 
      promising docked ligands were also predicted. Results: The proximate and mineral 
      analysis revealed CONCLUSION: Benzene-1,2,4,5-tetramethyl from JGE extracts 
      exhibited the most promising antidia- betic potential in-silico, suggesting its 
      candidature as diabetes-target-protein inhibitor which may be developed for the 
      treatment of type-2 diabetes mellitus.
CI  - Copyright(c) Bentham Science Publishers; For any queries, please email at 
      epub@benthamscience.net.
FAU - Awote, Olasunkanmi Kayode
AU  - Awote OK
AUID- ORCID: 0000-0002-0727-3998
AD  - 1Department of Biochemistry, Faculty of Science, Lagos State University, Ojo, 
      Nigeria
FAU - Kanmodi, Rahmon Ilesanmi
AU  - Kanmodi RI
AUID- ORCID: 0000-0003-4906-4067
AD  - 1Department of Biochemistry, Faculty of Science, Lagos State University, Ojo, 
      Nigeria
FAU - Ebube, Success Chidera
AU  - Ebube SC
AUID- ORCID: 0009-0001-6676-1545
AD  - 1Department of Biochemistry, Faculty of Science, Lagos State University, Ojo, 
      Nigeria
FAU - Abdulganniyyu, Zainab Folashade
AU  - Abdulganniyyu ZF
AUID- ORCID: 0009-0006-2648-5028
AD  - 1Department of Biochemistry, Faculty of Science, Lagos State University, Ojo, 
      Nigeria
LA  - eng
PT  - Journal Article
DEP - 20231010
PL  - United Arab Emirates
TA  - Curr Drug Discov Technol
JT  - Current drug discovery technologies
JID - 101157212
SB  - IM
OTO - NOTNLM
OT  - Carbohydrate metabolizing enzymes
OT  - Diabetes mellitus
OT  - Jatropha gossypifolia
OT  - Nutraceutical
OT  - Phytochemistry
OT  - Protein targets
OT  - Proximate analysis
EDAT- 2023/10/11 06:45
MHDA- 2023/10/11 06:45
CRDT- 2023/10/11 03:35
PHST- 2023/06/13 00:00 [received]
PHST- 2023/08/17 00:00 [revised]
PHST- 2023/08/31 00:00 [accepted]
PHST- 2023/10/11 06:45 [medline]
PHST- 2023/10/11 06:45 [pubmed]
PHST- 2023/10/11 03:35 [entrez]
AID - CDDT-EPUB-135037 [pii]
AID - 10.2174/0115701638267143230925172207 [doi]
PST - aheadofprint
SO  - Curr Drug Discov Technol. 2023 Oct 10. doi: 10.2174/0115701638267143230925172207.