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Treatment for diabetes mellitus, a complicated metabolic illness, depends on blood glucose control, and appropriate eating practises. The two main enzymes that are involved in the digestion of carbohydrates are α-glucosidase and α-amylase (CHE) Therefore, inhibitors of these enzymes can prolong the absorption of absorbable monosaccharides from dietary complex carbohydrates into the bloodstream, limiting any abrupt spike in blood glucose level caused by a meal. Natural substance acarbose is a therapeutically used α-glucosidase inhibitor, but it has drawbacks. As a result, novel leads with CHE inhibitory capabilities are needed.
Glinus oppositifolius (L.) Aug. DC. is locally known as Pita bhaji in Chhattisgarh and taken as a food by peoples of Chhattisgarh, India. The whole plant is traditionally used in wound healing, anti-diabetes, fiver, inflammations, diarrhea, intestinal and skin problems. This study made highlights on this folk herbal medicine which will help in the identification of crude samples of this plants part. The plants that includes in the study are Mollugo cerviana (Linn.) and Glinus Lotoide Ser, locally referred to as thread stem carpet weed. It is a member of the Molluginaceae family. Both plants are found in marshy wet land as a weed.
A brief literature survey revealed that both plants have got immense pharmacological properties bcause of their rich ness in flavonoids class of secondary metabolites. Both the plant materials were reported to have anti-diabetic components in it.
Keywords:
anti-diabetic, Glinus Lotoides,
Cite Article:
"PHYTOCHEMICAL AND PHARMACOLOGICAL INVESTIGATION ON GLINUS LOTOIDES. L AND MOLLUGO CERVIANA (L.) SER. FOR ANTI-DIABETIC ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 7, page no.118 - 127, July-2024, Available :http://www.ijrti.org/papers/IJRTI2407012.pdf
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000204746
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator