Ameliorative Effect of Ocimum forskolei Benth on Diabetic, Apoptotic, and Adipogenic Biomarkers of Diabetic Rats and 3T3-L1 Fibroblasts Assisted by In Silico Approach
Ameliorative Effect of Ocimum forskolei Benth on Diabetic, Apoptotic, and Adipogenic Biomarkers of Diabetic Rats and 3T3-L1 Fibroblasts Assisted by In Silico Approach
Diabetes mellitus (DM) is a complicated condition that is accompanied by a plethora of metabolic symptoms, including disturbed serum glucose and lipid profiles. Several herbs are reputed as traditional medicine to improve DM. The current study was designed to explore the chemical composition and possible ameliorative effects of Ocimum forskolei on blood glucose and lipid profile in high-fat diet/streptozotocin-induced diabetic rats and in 3T3-L1 cell lines as a first report of its bioactivity. Histopathological study of pancreatic and adipose tissues was performed in control and treatment groups, along with quantification of glucose and lipid profiles and the assessment of NF-κB, cleaved caspase-3, BAX, and BCL2 markers in rat pancreatic tissue. Glucose uptake, adipogenic markers, DGAT1, CEBP/α, and PPARγ levels were evaluated in the 3T3-L1 cell line. Hesperidin was isolated from total methanol extract (TME). TME and hesperidin significantly controlled the glucose and lipid profile in DM rats. Glibenclamide was used as a positive control. Histopathological assessment showed that TME and hesperidin averted necrosis and infiltration in pancreatic tissues, and led to a substantial improvement in the cellular structure of adipose tissue. TME and hesperidin distinctly diminished the mRNA and protein expression of NF-κB, cleaved caspase-3, and BAX, and increased BCL2 expression (reflecting its protective and antiapoptotic actions). Interestingly, TME and hesperidin reduced glucose uptake and oxidative lipid accumulation in the 3T3-L1 cell line. TME and hesperidin reduced DGAT1, CEBP/α, and PPARγ mRNA and protein expression in 3T3-L1 cells. Moreover, docking studies supported the results via deep interaction of hesperidin with the tested biomarkers. Taken together, the current study demonstrates Ocimum forskolei and hesperidin as possible candidates for treating diabetes mellitus.
- King Faisal University Saudi Arabia
- Department of Pharmaceutical Sciences Switzerland
- Hiroshima University
- Minia University, Faculty of Pharmacy Egypt
- Minia University Egypt
<i>Ocimum forskolei</i>, Organic chemistry, streptozotocin, NF-κB, Article, Diabetes Mellitus, Experimental, Mice, QD241-441, hesperidin, 3T3-L1 Cells, Animals, RNA, Messenger, 3T3-L1, bcl-2-Associated X Protein, diabetes, Caspase 3, Hesperidin, NF-kappa B, Lipids, Rats, PPAR gamma, Glucose, Ocimum, <i>Ocimum forskolei</i>; hesperidin; streptozotocin; diabetes; 3T3-L1; NF-κB; PPARγ, Ocimum basilicum, Biomarkers
<i>Ocimum forskolei</i>, Organic chemistry, streptozotocin, NF-κB, Article, Diabetes Mellitus, Experimental, Mice, QD241-441, hesperidin, 3T3-L1 Cells, Animals, RNA, Messenger, 3T3-L1, bcl-2-Associated X Protein, diabetes, Caspase 3, Hesperidin, NF-kappa B, Lipids, Rats, PPAR gamma, Glucose, Ocimum, <i>Ocimum forskolei</i>; hesperidin; streptozotocin; diabetes; 3T3-L1; NF-κB; PPARγ, Ocimum basilicum, Biomarkers
11 Research products, page 1 of 2
- 2008IsAmongTopNSimilarDocuments
- 2011IsAmongTopNSimilarDocuments
- 2017IsRelatedTo
- 2008IsRelatedTo
- 1997IsRelatedTo
- 2003IsRelatedTo
- 1994IsAmongTopNSimilarDocuments
chevron_left - 1
- 2
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
