457 research outputs found
Diterpenoid Alkaloids and Phenol Glycosides from Aconitum Naviculare (Br├╝hl) Stapf
Phytochemical investigation of the aerial parts of Aconitum naviculare, a medicinal plant used in traditional Nepalese medicine, led to the isolation and characterization of two new diterpenoid alkaloids, navirine B (1), and navirine C (2), along with (+) chellespontine (3), kaempferol-7-O-╬▓-D-glucopyranosyl(1тЖТ3)╬▒-L-rhamnopyranoside (4), kaempferol-7-O ╬▒-L-rhamnopyranoside,3-O-╬▓-D-glucopyranoside (5), p-coumaric-4-O-╬▓-D-glucopyranoside acid (6), and ferulic-4-O-╬▓-D-glucopyranoside acid (7). The structures of the isolated compounds were elucidated on the basis of extensive analyses of 1D and 2D NMR spectra (HMQC, HMBC, COSY, ROESY) and HR-MS data. The antiproliferative activity of alkaloids 1тАУ3 against human tumor cell lines (LoVo and 2008) was also evaluated
Impact of farmer producer organization on organic chilli production in Telangana, India
33-43Input intensive modern agriculture is adversely affecting human health and environment. Farmers of Telangana state have taken up organic chilli production with the assistance of FPOs. Primary data was collected from 120 farmers comprising 60 members and 60 non-members of FPO from two districts of Telangana through semi-structured interviews. The study found that the shift to organic chilli cultivation led to decrease in input use by 9.06% and yield by 23.4%. However, the gross return from organic chilli farming was 13.85% higher over that realised by non-members due to the efforts of FPOs. DEA analysis revealed that a higher proportion of member farmers (48%) had technical efficiency of more than 60% as compared to non-members (18%). FPOs were instrumental in reduction of transaction cost and number of intermediaries leading to the realization of a higher proportion of producerтАЩs share in consumerтАЩs rupee (65%). Discriminant function analysis revealed that the FPO promoting institutions (44%), ease of doing business (16%) and infrastructure facilities like storage, irrigation, electricity and credit have high influence on performance of the states with respect to FPOs
Impact of farmer producer organization on organic chilli production in Telangana, India
Input intensive modern agriculture is adversely affecting human health and environment. Farmers of Telangana state have taken up organic chilli production with the assistance of FPOs. Primary data was collected from 120 farmers comprising 60 members and 60 non-members of FPO from two districts of Telangana through semi-structured interviews. The study found that the shift to organic chilli cultivation led to decrease in input use by 9.06% and yield by 23.4%. However, the gross return from organic chilli farming was 13.85% higher over that realised by non-members due to the efforts of FPOs. DEA analysis revealed that a higher proportion of member farmers (48%) had technical efficiency of more than 60% as compared to non-members (18%). FPOs were instrumental in reduction of transaction cost and number of intermediaries leading to the realization of a higher proportion of producerтАЩs share in consumerтАЩs rupee (65%). Discriminant function analysis revealed that the FPO promoting institutions (44%), ease of doing business (16%) and infrastructure facilities like storage, irrigation, electricity and credit have high influence on performance of the states with respect to FPOs
Effects of Deforestation and Forest Degradation on Forest Carbon Stocks in Collaborative Forests, Nepal
There are some key drivers that favor deforestation and forest degradation. Consequently, levels of carbon stock are affected in different parts of same forest types. But the problem lies in exploring the extent of the effects on level of carbon stocking. This paper highlights the variations in levels of carbon stocks in three different collaborative forests of same forest type i.e. tropical sal (Shorea robusta) forest in Mahottari district of the central Terai in Nepal. Three collaborative forests namely Gadhanta-Bardibas Collaborative Forest (CFM), Tuteshwarnath CFM and Banke- Maraha CFM were selected for research site. Interview and workshops were organized with the key informants that include staffs, members and representatives of CFMs to collect the socio-economic data and stratified random sampling was applied to collect the bio-physical data to calculate the carbon stocks. Analysis was carried out using statistical tools. It was found five major drivers namely grazing, fire, logging, growth of invasive species and encroachment. It was found highest carbon 269.36 ton per ha in Gadhanta- Bardibash CFM. The findings showed that the levels of carbon stocks in the three studied CFMs are different depending on how the drivers of deforestation and forest degradation influence over them
Prognostic Stratification of GBMs Using Combinatorial Assessment of IDH1 Mutation, MGMT Promoter Methylation, and TERT Mutation Status: Experience from a Tertiary Care Center in India
AbstractThis study aims to establish the best and simplified panel of molecular markers for prognostic stratification of glioblastomas (GBMs). One hundred fourteen cases of GBMs were studied for IDH1, TP53, and TERT mutation by Sanger sequencing; EGFR and PDGFRA amplification by fluorescence in situ hybridization; NF1expression by quantitative real time polymerase chain reaction (qRT-PCR); and MGMT promoter methylation by methylation-specific PCR. IDH1 mutant cases had significantly longer progression-free survival (PFS) and overall survival (OS) as compared to IDH1 wild-type cases. Combinatorial assessment of MGMT and TERT emerged as independent prognostic markers, especially in the IDH1 wild-type GBMs. Thus, within the IDH1 wild-type group, cases with only MGMT methylation (group 1) had the best outcome (median PFS: 83.3 weeks; OS: not reached), whereas GBMs with only TERT mutation (group 3) had the worst outcome (PFS: 19.7 weeks; OS: 32.8 weeks). Cases with both or none of these alterations (group 2) had intermediate prognosis (PFS: 47.6 weeks; OS: 89.2 weeks). Majority of the IDH1 mutant GBMs belonged to group 1 (75%), whereas only 18.7% and 6.2% showed group 2 and 3 signatures, respectively. Interestingly, none of the other genetic alterations were significantly associated with survival in IDH1 mutant or wild-type GBMs.Based on above findings, we recommend assessment of three markers, viz., IDH1, MGMT, and TERT, for GBM prognostication in routine practice. We show for the first time that IDH1 wild-type GBMs which constitute majority of the GBMs can be effectively stratified into three distinct prognostic subgroups based on MGMT and TERT status, irrespective of other genetic alterations
рдорд╣рд┐рд╖рд╛рд╕реБрд░: рдорд┐рдердХ рд╡ рдкрд░рдВрдкрд░рд╛рдПрдВ
рдЗрдХреНрдХрд╕рд╡реАрдВ рд╕рджреА рдХреЗ рджреВрд╕рд░реЗ рджрд╢рдХ рдореЗрдВ рднрд╛рд░рдд рдореЗрдВ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рдЖрдВрджреЛрд▓рди рджреНрд╡рд┐рдЬ рд╕рдВрд╕реНрдХреГрддрд┐ рдХреЗ рд▓рд┐рдП рдЪреБрдиреМрддреА рдмрдирдХрд░ рдЙрднрд░рд╛ред рдЗрд╕рдХреЗ рдорд╛рдзреНрдпрдо рд╕реЗ рдЖрджрд┐рд╡рд╛рд╕рд┐рдпреЛрдВ, рдкрд┐рдЫрдбрд╝реЛрдВ рдФрд░ рджрд▓рд┐рддреЛрдВ рдХреЗ рдПрдХ рдмрдбрд╝реЗ рд╣рд┐рд╕реНрд╕реЗ рдиреЗ рдЕрдкрдиреА рд╕рд╛рдВрд╕реНрдХреГрддрд┐рдХ рджрд╛рд╡реЗрджрд╛рд░реА рдкреЗрд╢ рдХреАред
рд▓реЗрдХрд┐рди рдпрд╣ рдЖрдВрджреЛрд▓рди рдХреНрдпрд╛ рд╣реИ, рдЗрд╕рдХреА рдЬрдбрд╝реЗрдВ рд╕рдорд╛рдЬ рдореЗрдВ рдХрд╣рд╛рдВ рддрдХ рдлреИрд▓реА рд╣реИрдВ, рдмрд╣реБрдЬрдиреЛрдВ рдХреА рд╕рд╛рдВрд╕реНрдХреГрддрд┐рдХ рдкрд░рдВрдкрд░рд╛ рдореЗрдВ рдЗрд╕рдХрд╛ рдХреНрдпрд╛ рд╕реНрдерд╛рди рд╣реИ, рдореМрдЬреВрджрд╛ рд▓реЛрдХ-рдЬреАрд╡рди рдореЗрдВ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рдХреА рдЙрдкрд╕реНрдерд┐рддрд┐ рдХрд┐рди-рдХрд┐рди рд░реВрдкреЛрдВ рдореЗрдВ рд╣реИ, рдЗрд╕рдХреЗ рдкреБрд░рд╛рддрд╛рддреНрд╡рд┐рдХ рд╕рд╛рдХреНрд╖реНрдп рдХреНрдпрд╛ рд╣реИрдВ? рдЧреАрддреЛрдВ-рдХрд╡рд┐рддрд╛рдУрдВ рд╡ рдирд╛рдЯрдХреЛрдВ рдореЗрдВ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рдХрд┐рд╕ рд░реВрдк рдореЗрдВ рдпрд╛рдж рдХрд┐рдП рдЬрд╛ рд░рд╣реЗ рд╣реИрдВ рдФрд░ рдЕрдХрд╛рджрдорд┐рдХ-рдмреМрджреНрдзрд┐рдХ рд╡рд░реНрдЧ рдХреЛ рдЗрд╕ рдЖрдВрджреЛрд▓рди рдиреЗ рдХрд┐рд╕ рд░реВрдк рдореЗрдВ рдкреНрд░рднрд╛рд╡рд┐рдд рдХрд┐рдпрд╛ рд╣реИ, рдЙрдирдХреА рдкреНрд░рддрд┐рдХреНрд░рд┐рдпрд╛рдПрдВ рдХреНрдпрд╛ рд╣реИрдВ? рдЖрджрд┐ рдкреНрд░рд╢реНрдиреЛрдВ рдкрд░ рд╡рд┐рдорд░реНрд╢ рд╣рдореЗрдВ рдПрдХ рдРрд╕реА рдмреМрджреНрдзрд┐рдХ рдпрд╛рддреНрд░рд╛ рдХреА рдУрд░ рд▓реЗ рдЬрд╛рдиреЗ рдореЗрдВ рд╕рдХреНрд╖рдо рд╣реИрдВ, рдЬрд┐рд╕рд╕реЗ рд╣рдордореЗрдВ рдЕрдзрд┐рдХрд╛рдВрд╢ рдЕрднреА рддрдХ рдЕрдкрд░рд┐рдЪрд┐рдд рд░рд╣реЗ рд╣реИрдВред
рдХреНрдпрд╛ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рджрдХреНрд╖рд┐рдг рдПрд╢рд┐рдпрд╛ рдХреЗ рдЕрдирд╛рд░реНрдпреЛрдВ рдХреЗ рдкреВрд░реНрд╡рдЬ рдереЗ, рдЬреЛ рдмрд╛рдж рдореЗрдВ рдПрдХ рдорд┐рдердХреАрдп рдЪрд░рд┐рддреНрд░ рдмрди рдХрд░ рдмрд╣реБрдЬрди рд╕рдВрд╕реНрдХреГрддрд┐ рдХреЗ рдкреНрд░рддреАрдХ рдкреБрд░реБрд╖ рдмрди рдЧрдП? рдХреНрдпрд╛ рдпрд╣ рдмрд╣реБрдд рдмрд╛рдж рдХреА рдкрд░рд┐рдШрдЯрдирд╛ рд╣реИ, рдЬрдм рдорд╛рдХрдгреНрдбреЗрдп рдкреБрд░рд╛рдг, рджреБрд░реНрдЧрд╛рд╕рдкреНрддрд╢рддреА рдЬреИрд╕реЗ рдЧреНрд░рдВрде рд░рдЪ рдХрд░, рдПрдХ рдХрдкреЛрд▓-рдХрд▓реНрдкрд┐рдд рджреЗрд╡реА рдХреЗ рд╣рд╛рдереЛрдВ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рдХреА рд╣рддреНрдпрд╛ рдХреА рдХрд╣рд╛рдиреА рдЧрдврд╝реА рдЧрдИ? рдЗрд╕ рдЖрдВрджреЛрд▓рди рдХреА рд╕реИрджреНрдзрд╛рдВрддрд┐рдХреА рдХреНрдпрд╛ рд╣реИ?
рдкреНрд░рдореЛрдж рд░рдВрдЬрди рджреНрд╡рд╛рд░рд╛ рд╕рдВрдкрд╛рджрд┐рдд рдХрд┐рддрд╛рдм тАЬрдорд╣рд┐рд╖рд╛рд╕реБрд░: рдорд┐рдердХ рд╡ рдкрд░рдВрдкрд░рд╛рдПрдВтАЭ рдореЗрдВ рд▓реЗрдЦрдХреЛрдВ рдиреЗ рдЙрдкрд░реЛрдХреНрдд рдкреНрд░рд╢реНрдиреЛрдВ рдкрд░ рд╡рд┐рдЪрд╛рд░ рдХрд┐рдпрд╛ рд╣реИ рддрдерд╛ рд╡рд┐рд▓реБрдкреНрддрд┐ рдХреЗ рдХрдЧрд╛рд░ рдкрд░ рдЦрдбрд╝реЗ рдЕрд╕реБрд░ рд╕рдореБрджрд╛рдп рдХрд╛ рд╡рд┐рд╕реНрддреГрдд рдиреГрд╡рдВрд╢рд╢рд╛рд╕реНрддреНрд░реАрдп рдЕрдзреНрдпрдпрди рднреА рдкреНрд░рд╕реНрддреБрдд рдХрд┐рдпрд╛ рд╣реИред рдЗрд╕ рдкреБрд╕реНрддрдХ рдореЗрдВ рд╕рдордХрд╛рд▓реАрди рднрд╛рд░рддреАрдп рд╕рд╛рд╣рд┐рддреНрдп рдореЗрдВ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рдкрд░ рд▓рд┐рдЦреА рдЧрдИ рдХрд╡рд┐рддрд╛рдУрдВ рд╡ рдЧреАрддреЛрдВ рдХрд╛ рдкреНрд░рддрд┐рдирд┐рдзрд┐ рд╕рдВрдХрд▓рди рднреА рд╣реИ рддрдерд╛ рдорд╣рд┐рд╖рд╛рд╕реБрд░ рдХреА рдмрд╣реБрдЬрди рдХрдерд╛ рдкрд░ рдЖрдзрд╛рд░рд┐рдд рдПрдХ рдирд╛рдЯрдХ рднреА рдкреНрд░рдХрд╛рд╢рд┐рдд рд╣реИред
рд╕рдорд╛рдЬ-рд╡рд┐рдЬреНрдЮрд╛рди рд╡ рд╕рд╛рдВрд╕реНрдХреГрддрд┐рдХ рд╡рд┐рдорд░реНрд╢ рдХреЗ рдЕрдзреНрдпреЗрддрд╛рдУрдВ, рд╕рд╛рдорд╛рдЬрд┐рдХ-рд░рд╛рдЬрдиреАрддрд┐рдХ рдХрд╛рд░реНрдпрдХрд░реНрддрд╛рдУрдВ, рд╕рд╛рд╣рд┐рддреНрдп рдкреНрд░реЗрдорд┐рдпреЛрдВ рдХреЗ рд▓рд┐рдП рдпрд╣ рдПрдХ рдЖрд╡рд╢реНрдпрдХ рдкреБрд╕реНрддрдХ рд╣реИ
Effectiveness of an mHealth-Based Electronic Decision Support System for Integrated Management of Chronic Conditions in Primary Care: The mWellcare Cluster-Randomized Controlled Trial.
BACKGROUND: The burden of noncommunicable diseases and their risk factors has rapidly increased worldwide, including in India. Innovative management strategies with electronic decision support and task sharing have been assessed for hypertension, diabetes mellitus, and depression individually, but an integrated package for multiple chronic condition management in primary care has not been evaluated. METHODS: In a prospective, multicenter, open-label, cluster-randomized controlled trial involving 40 community health centers, using hypertension and diabetes mellitus as entry points, we evaluated the effectiveness of mWellcare, an mHealth system consisting of electronic health record storage and an electronic decision support for the integrated management of 5 chronic conditions (hypertension, diabetes mellitus, current tobacco and alcohol use, and depression) versus enhanced usual care among patients with hypertension and diabetes mellitus in India. At trial end (12-month follow-up), using intention-to-treat analysis, we examined the mean difference between arms in change in systolic blood pressure and glycated hemoglobin as primary outcomes and fasting blood glucose, total cholesterol, predicted 10-year risk of cardiovascular disease, depression score, and proportions reporting tobacco and alcohol use as secondary outcomes. Mixed-effects regression models were used to account for clustering and other confounding variables. RESULTS: Among 3698 enrolled participants across 40 clusters (mean age, 55.1 years; SD, 11 years; 55.2% men), 3324 completed the trial. There was no evidence of difference between the 2 arms for systolic blood pressure (╬Ф=-0.98; 95% CI, -4.64 to 2.67) and glycated hemoglobin (╬Ф=0.11; 95% CI, -0.24 to 0.45) even after adjustment of several key variables (adjusted differences for systolic blood pressure: - 0.31 [95% CI, -3.91 to 3.29]; for glycated hemoglobin: 0.08 [95% CI, -0.27 to 0.44]). The mean within-group changes in systolic blood pressure in mWellcare and enhanced usual care were -13.65 mmтАЙHg versus -12.66 mmтАЙHg, respectively, and for glycated hemoglobin were -0.48% and -0.58%, respectively. Similarly, there were no differences in the changes between the 2 groups for tobacco and alcohol use or other secondary outcomes. CONCLUSIONS: We did not find an incremental benefit of mWellcare over enhanced usual care in the management of the chronic conditions studied. CLINICAL TRIAL REGISTRATION: URL: https://www. CLINICALTRIALS: gov. Unique identifier: NCT02480062
Common variants in CLDN2 and MORC4 genes confer disease susceptibility in patients with chronic pancreatitis
A recent Genome-wide Association Study (GWAS) identified association with variants in X-linked CLDN2 and MORC4 and PRSS1-PRSS2 loci with Chronic Pancreatitis (CP) in North American patients of European ancestry. We selected 9 variants from the reported GWAS and replicated the association with CP in Indian patients by genotyping 1807 unrelated Indians of Indo-European ethnicity, including 519 patients with CP and 1288 controls. The etiology of CP was idiopathic in 83.62% and alcoholic in 16.38% of 519 patients. Our study confirmed a significant association of 2 variants in CLDN2 gene (rs4409525тАФOR 1.71, P = 1.38 x 10-09; rs12008279тАФOR 1.56, P = 1.53 x 10-04) and 2 variants in MORC4 gene (rs12688220тАФOR 1.72, P = 9.20 x 10-09; rs6622126тАФOR 1.75, P = 4.04x10-05) in Indian patients with CP. We also found significant association at PRSS1-PRSS2 locus (OR 0.60; P = 9.92 x 10-06) and SAMD12-TNFRSF11B (OR 0.49, 95% CI [0.31тАУ0.78], P = 0.0027). A variant in the gene MORC4 (rs12688220) showed significant interaction with alcohol (OR for homozygous and heterozygous risk allele -14.62 and 1.51 respectively, P = 0.0068) suggesting gene-environment interaction. A combined analysis of the genes CLDN2 and MORC4 based on an effective risk allele score revealed a higher percentage of individuals homozygous for the risk allele in CP cases with 5.09 fold enhanced risk in individuals with 7 or more effective risk alleles compared with individuals with 3 or less risk alleles (P = 1.88 x 10-14). Genetic variants in CLDN2 and MORC4 genes were associated with CP in Indian patients
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