Prevalence of Latent Autoimmune Diabetes in Adult Based on the Presence of GAD 65 Antibodies in North-Eastern Uttar Pradesh, India

Objective The objective of this paper was (1) to study the prevalence of latent autoimmune diabetes in adult (LADA) in the region of north-eastern Uttar Pradesh, India, based on the positivity for glutamic acid decarboxylase 65 (GAD65) antibodies and (2) to compare the glycemic profile between GAD65-positive and GAD65-negative subjects. Materials and Methods The subjects were of more than 30 years of age, with either recently diagnosed pre-diabetes/diabetes presenting with the hemoglobin A1c (HbA1c) level of ≥5.7% or already diagnosed cases of type 2 diabetes mellitus (T2DM) who had no requirement of insulin therapy for at least 6 months from the time of their diagnosis. All the patients were natives of north-eastern Uttar Pradesh. The GAD65 test was done by the enzyme-linked immunosorbent assay. Further, the glycemic status of GAD-positive and GAD-negative subjects were compared on the basis of fasting blood sugar (FBS), fasting insulin (FI), and homeostatic model assessment for insulin resistance (HOMA-IR). Statistical Analysis The “unpaired t-test” was used to compare and assess the significance of differences between the glycemic profile of GAD65-positive and GAD65-negative subjects using the GraphPad Prism Scientific Software, San Diego, CA, United States. The p-value of <0.05 was considered to be significant. Results A total of 77 patients were included in the study, with the age group ranging from 30 to 75 years (47.81 ± 12.9 years) with the male–female ratio of 1:2.6. The prevalence of LADA was found to be 51.95%. On comparing GAD65-positive and GAD65-negative groups, a higher value of HbA1c levels and FBS were found in the former, whereas FI and HOMA-IR were found to be higher in the latter. On testing for significance of difference, only FI and HbA1c values were significant (p-value <0.0001). Conclusion LADA can no longer be considered a rare type of diabetes mellitus, with the present study showing a high prevalence of LADA in this north eastern region of Uttar Pradesh. Identification of adult-onset diabetics accurately as LADA or true T2DM is very crucial for the appropriate treatment, as LADA patients require insulin inevitably and much earlier than true T2DM patients, who can be managed mostly on oral hypoglycemic agents with seldom requirement of insulin.

Genome Sequencing Reveals a Mixed Picture of SARS-CoV-2 Variant of Concern Circulation in Eastern Uttar Pradesh, India

Uttar Pradesh is the densely populated state of India and is the sixth highest COVID-19 affected state with 22,904 deaths recorded on November 12, 2021. Whole-genome sequencing (WGS) is being used as a potential approach to investigate genomic evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. In this study, a total of 87 SARS-CoV-2 genomes−49 genomes from the first wave (March 2020 to February 2021) and 38 genomes from the second wave (March 2021 to July 2021) from Eastern Uttar Pradesh (E-UP) were sequenced and analyzed to understand its evolutionary pattern and variants against publicaly available sequences. The complete genome analysis of SARS-CoV-2 during the first wave in E-UP largely reported transmission of G, GR, and GH clades with specific mutations. In contrast, variants of concerns (VOCs) such as Delta (71.0%) followed by Delta AY.1 (21.05%) and Kappa (7.9%) lineages belong to G clade with prominent signature amino acids were introduced in the second wave. Signature substitution at positions S:L452R, S:P681R, and S:D614G were commonly detected in the Delta, Delta AY.1, and Kappa variants whereas S:T19R and S:T478K were confined to Delta and Delta AY.1 variants only. Vaccine breakthrough infections showed unique mutational changes at position S:D574Y in the case of the Delta variant, whereas position S:T95 was conserved among Kappa variants compared to the Wuhan isolate. During the transition from the first to second waves, a shift in the predominant clade from GH to G clade was observed. The identified spike protein mutations in the SARS-CoV-2 genome could be used as the potential target for vaccine and drug development to combat the effects of the COVID-19 disease.

Participatory Evaluation of Effectiveness of Farmer-Led Adaptation Strategies to Climate Change in Eastern Uttar Pradesh

India has shown high vulnerability towards the impact of climate change due to thedependency of 58 per cent of India’s population on agriculture. The study was carried on180 respondents in three districts selected randomly of eastern Uttar Pradesh to evaluatefarmer-led adaptation strategies to the impact of climate change, activities that arepredominantly led by farmers to make them more adaptable to long-term changes in weatherpatterns. All the respondents had experienced extreme climatic events in the last 5-10 years,making the region climate-prone. Nine farmers’-led adaptation strategies to climate changefollowed in crop farming were documented and quantified by using Climate ChangeAdaptation Index. Adaptation strategies were evaluated using the Quantification ofIndigenous Knowledge method (QuIK) method; by involving the key informants followedby peer farmers. Crop diversification, use of high yielding varieties of crops andpreparations of bunds to control water flow were the most preferred adaptation strategiesto climate change. The irregular rainfall increased the incidence of floods in eastern UttarPradesh; thus, the preparation of bunds to regulate water flow in crop fields was the mostefficient adaptation strategy.

SERVICE CENTRES IN RURAL DEVELOPMENT : A CASE STUDY OF JAUNPUR DISTRICT, UTTAR PRADESH

This paper attempts to deal with the identifying the service centers and calculation of the spatial arrangement with complementary area of service centres in Jaunpur district Jaunpur district of Uttar Pradesh. The study area is situated in Eastern Uttar Pradesh of the Middle Ganga Plain. The study is exclusively based on secondary data collected at block level from different offices. The centrality score has been calculated on the basis of three type of indices like functional centrality index, working population index and tertiary population index. There are 31 function or services selected judicially from five sectors (administrative, agricultural and financial, educational, health and transport and communication) to measure the centrality of service centre. The thissen polygon and berry breaking point method has been used for measure the complementary area. Total 88 service centres have been identified as first, second, third, fourth and fifth order service centre. The number of I, II, III, IV, and V order centres accounts for 43, 24, 16, 4, and 1 respectively.

Impact of climate change on agriculture in eastern Uttar Pradesh and Bihar states (India)

Production of crops is greatly influenced by weather phenomena and therefore any change in climate will have major effects on crop yield and productivity. Using NYD analysis for prediction of crop yield on seasonal basis, it has been observed that maximum temperature may cause the reduction in yield of rice in Eastern Uttar Pradesh by 1.0 to 1.1% per ha by 2020. Similarly, minimum temperature may decrease the yield of rice by 1.5 to 1.9% per ha in Eastern Uttar Pradesh. From future scenario of rainfall it was observed that south-west monsoonal rainfall would be the major factor for controlling the yield of rice. The role of maximum temperature for wheat production in Bihar state is more significant as compared to Eastern Uttar Pradesh. The model predicts that wheat yield may decrease by 5-6% in Bihar state due to increase in maximum temperature by the end of 2080 whereas this decrement in Eastern Uttar Pradesh may be 1.5-2.0%.

Impact of climate variability on human health: A pilot study in tertiary care hospital of Eastern Uttar Pradesh, India

This study is an attempt to find out the effect of climate variables on respiratory, cardiovascular, vector-borne and diarrheal diseases from 2004-2013 carried out at Sir Sunder Lal hospital, Varanasi, Uttar Pradesh with focus on eastern Uttar Pradesh. The study shows that cases of Chronic Obstructive Pulmonary Disorder (COPD) and Cardiovascular Disorders (CVD) didn’t show any significant relation with any of the climate variables. With increase of 1 C mean maximum monthly temperature the estimated decrease in number of Tuberculosis (TB) patients was 4 (95% CI = 4.95-3.05) while a 1C increase in minimum monthly temperature showed increase of TB patients by 4 (95% CI = 4.95-3.05). One percent increase of monthly averaged relative humidity is estimated to increase the one pneumonia patients (95% CI = 1.95-0.05) at any given month. One-degree increase in given monthly temperature will increase the load of one diarrhea patients (95% CI = 1.95-0.05) monthly. Dengue and Malaria patients showed increasing monthly malaria cases by 5 (95% CI = 5.95-4.05) with 1C rise in minimum monthly temperature and by 1 patient (95% CI = 1.95-0.05) with increase in 1% relative humidity. Encephalitis showed an increase of one patient load (95% CI = 1.95-0.05) with monthly increase of 1C in maximum temperature. The study shows advance knowledge of health information, on timescales of seasons to decades ahead, would aid effective planning of health response measures and infrastructure at local and regional scale.

Simulation modeling of rice genotypes of yield and yield attributes at different nitrogen levels and different dates of transplanting using CERES 3.5 v for eastern Uttar Pradesh

The present investigation was carried out at Agrometeorological Instructional Farm of Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad (U.P.) during Kharif season of 2005-06 to investigate the CERES v 3.5 model validations for rice at different dates of transplanting and different genotypes. Treatment consisted of three genotypes, viz., Sarjoo-52, NDR-359 and Pant Dhan-4, two dates of transplanting, viz., July 5, 2005 and July 25, 2005 & three nitrogen levels, viz., 80 kg/ha, 120 kg/ha and 160 kg/ha. The experiment was laid out in Randomized Block Design (RBD). From the response of simulation model it is observed that accuracy of simulated value decrease with late sowing in all the genotypes. Among the varieties the Pant Dhan-4 was found to have maximum closeness to observed value followed by Sarjoo-52 and NDR-359 at all nitrogen level for Biomass (gm/m2). Grain yield predication at 120 kg N level was found closest in Pant Dhan-4 and Sarjoo-52, while in NDR­-359 shows the better closeness at 160 kg N in both dates of transplanting. In the weight/grain (gm) 120 kg nitrogen level was found to have highest accuracy of (100%), i.e., no difference between observed and predicted value in both transplanting dates and nitrogen level.

Japanese Encephalitis (JE): A curse for people living in Uttar Pradesh, India

Japanese Encephalitis (JE) follows due to viral infection that directly affects brain leading to coma and finally death. JE which finally leads to Acute Encephalitis Syndrome (AES) have been creating devastation in eastern Uttar Pradesh for decades. The Gorakhpur in Uttar Pradesh is the epicenter of encephalitis induced deaths and the disease mostly affect its rural areas. However, Maharajgang, Sant Kabir Nagar, Basti, Kushinagar, Siddharth Nagar, Deoria and Mau are the most affected districts in the state. Independent figures put the toll around 50,000 as many kids die without reaching hospital. Every year, in rainy season the condition is worst for children in Uttar Pradesh. The Japanese Encephalitis Virus (JEV) is generally spread by mosquitoes, specifically those of the genus Culex. Pigs and wild birds serve as reservoir for the JEV. Encephalitis can be air or water borne, the result of a mosquito bite or spread by ticks. The initial symptoms are fever, cold or headache. However, it becomes life threatening only when it crosses the blood and brain barrier. There is no full cure of the disease; however, it can only be treated by vaccination to some extent. Prevention includes control of the vector mosquitoes of JEV by fogging with ultra-low levels of insecticides and by raising the immunity in children by vaccination. There are three types of vaccines has been used in large scale. In India, the JE vaccination was launched during 2006. Recently Shri Yogi Adityanath (Chief Minister, Uttar Pradesh) government has launched a massive encephalitis vaccination program during 2017-18 which is a positive hopeful step towards saving the lives of several innocent people of our country.