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Biology subjects

K, G.

Publications and source records attributed to K, G..

2 recordsLinked to original sources

Anti-inflammatory and neuroprotective activity of Viphyllin a standardized extract of β-caryophyllene from black pepper (Piper Nigrum L) and its associated mechanisms in mouse macrophage cells and Human Neuroblastoma SH-SY5Y cells

Oxidative stress breeds various chronic lifestyle ailments including inflammatory conditions and neurodegenerative diseases. {beta}-caryophyllene natural bicyclic sesquiterpene, obtained from various plants sources found to be effective against inflammation and neuroprotection. In this study, we have evaluated the protective effect of Viphyllin, a standardized extract of {beta}-caryophyllene from black pepper against inflammation induced by lipopolysaccharide in RAW264.7 macrophage cells and mechanisms involved in hydrogen peroxide (H2O2)-challenged oxidative stress in human neuroblastoma SH-SY5Y cells. Viphyllin demonstrated the anti-inflammatory activity by subsiding the release of the pro-inflammatory intermediaries like NO, cytokines, interleukins, and protein expression levels of cyclooxygenase (COX-2) and inducible nitric oxide synthase (iNOS). In addition, Viphyllin suppressed the extracellular signal-regulated kinase (ERK). c-Jun N-terminal kinase (JNK) and p38 mitogen-activated protein kinase (MAPK) phosphorylation. On the other hand, Viphyllin showed neuroprotective effect against neuronal oxidative damage caused by H2O2. Viphyllin lessened the expression B-cell lymphoma-2 (Bcl-2), B-cell lymphoma-2-associated X protein (BAX), cleaved caspase-9, and PARP-1 proteins associated with apoptosis. Our results indicate that Viphyllin ameliorated LPS-mediated inflammation in macrophages by regulating inflammation and Viphyllin exerted remarkable anti apoptotic effect against neuronal damage challenged by H2O2. Altogether, Viphyllin could be potential functional food ingredient for inflammation and neurodegenerative diseases.

cell biology↗

Higher Order AMMI (HO-AMMI) analysis: A novel stability model to study genotype-location interactions

Additive main effects and multiplicative interaction (AMMI) model is most widely used to analyse genotype*environment interactions (GEI) wherein interaction effects of location is masked by year effect. Hence, presently available models are not able to estimate interaction effects of genotype*location (GLI) and genotype*year (GYI) separately. Moreover, genotype ranking differs as number of years of evaluation vary making selection of genotype for target location difficult. In the present study we propose a novel stability model i.e Higher-order-AMMI (HO-AMMI) analysis which is capable of calculating GLI without the confounding effect of GYI and GLYI. GEI of AMMI model and all 2-way interactions of HO-AMMI model follow {chi}2 distribution, whereas 3-way interaction (GLYI) of HO-AMMI follow noncentral {chi}2 distribution. With increase in number of years of evaluation contribution of GLI towards total variation increased whereas in AMMI model contribution of GEI towards total variation decreased. Variation explained by multiplicative components is higher in HO-AMMI compared to AMMI model. Genotypes were ranked using GL, GY and GL+GY+GLY interactions of HO-AMMI and GEI of AMMI for stability and yield and compared their ranks with field ranking. Correlation and linear regression analysis have indicated high association of GLI (HO-AMMI) with field ranking with high R2 values. Further, HO-AMMI model was able to remove the confounding effect of GYI and GLYI on GLI for accurate identification of genotype for target location irrespective of number of years of evaluation. Hence, HO-AMMI model can be used under multi-environment trials (MET) for selecting genotypes efficiently. Availability and InformationSource code implemented in R is available from corresponding author.

plant biology↗