Genetic diversity analysis in the Hypericum perforatum populations in the Kashmir valley by using inter-simple sequence repeats (ISSR) markers

Assessment of genetic variability among the Hypericum perforatum populations is critical to the development of effective conservation  strategies in the Kashmir valley. To obtain accurate estimates of genetic diversity among and within populations of H. perforatum, inter-simple sequence repeats (ISSR) markers were used. The study was aimed to check, whether ISSR fingerprinting may be a useful tool for studying genetic variations among H. perforatum populations in the Kashmir valley (India). A total of 15 ISSR primers were tested with the 20 genotypes of H. perforatum. The ten informative primers were selected and used to evaluate the degree of polymorphism and genetic relationships within and among all the H. perforatum populations. ISSR of 20 genotypes analysis yielded 98 fragments that could be scored, of which 71 were polymorphic, with an average of 7.1 polymorphic fragments per primer. Number of amplified fragments varied in size from 150 to 1650 bp. Percentage of polymorphism ranged from 60% to a maximum of 100%. Resolving power ranged from a minimum of 7.7 to a maximum of 14.3. Shannon indexes ranges from 0.166 to 0.389 with an average of 0.198 and Nei’s genetic diversity (h) ranges from 6.98 to 9.8. Estimated value of gene flow (Nm = 0.579) indicated that there was limited gene flow among the populations. The genetic diversity (Ht) within the population of 0.245 was clearly higher than that of among population genetic diversity (Hs= 0.115), indicating an out-crossing predominance in the studied populations. Analysis of molecular variance by ISSR markers indicated that over half of the total variation in the studied populations (58%) could be accounted for by differences among the 8 divisions, with a further 42% being accounted for by the variation among populations within a division.The dendrogram grouping the populations by unweighted pair-group method with arithmeticaverages (UPGMA) method revealed eight main clusters. In conclusion, combined analysis of ISSR markers and hypericin content is an optimal approach for further progress and breeding programs.Keywords: Hypericum perforatum (St. John's Wort), inter-simple sequence repeats (ISSR) markers, unweighted pair-group method with arithmetic averages (UPGMA), Nei’s genetic diversityAfrican Journal of Biotechnology, Vol. 13(1), pp. 18-31, 1 January, 201

Role of Repeat Transurethral Resection of Bladder Tumours after Primary Resection: A Retrospective Cross-sectional Study

Introduction: Bladder Cancer (BC) is the second most common cancer of the urinary tract. Initial treatment by Transurethral Resection of Bladder Tumour (TURBT) helps guide treatment. In High Grade (HG) and invasive cancers, improved staging is achieved by performing a repeat (rTURBT). Aim: To examine the outcome, residual disease, complications, outcomes and quality of procedure of repeat TURBTs at the study tertiary center. Materials and Methods: This was a retrospective study conducted at the Department of Urology in Government Medical College, Srinagar, Jammu and Kashmir, India between October 2018 and December 2019. A total of 123 TURBT’s were performed during the study period, of which 34 were repeat TURBT’s. Case records were examined for each of these patients. Student t-test and Chi-square tests were used to compare data sets. Results: Data was complete for 30 out of 34 patients. There was residual disease in 12 (40%) patients. Upstaging was seen in 2/12 (17%) of patients, down-staging in 0/12, and same stage in 10/12 patients (83%). No disease was seen in 18/30 (60%) of patients. No major surgical complications occurred. In 12 patients of non-invasive, High Grade (HG) tumours, who underwent rTURBTs, 6 (50%) were found to have residual disease. Conclusion: rTURBTs should be performed in all patients with high-grade or T1 tumours. Further studies are required to analyse risk-factors for residual disease which may narrow the indications of rTURBT, thus saving time and costs, and reducing need for an additional procedure

Least square-support vector machine based brain tumor classification system with multi model texture features

Radiologists confront formidable challenges when confronted with the intricate task of classifying brain tumors through the analysis of MRI images. Our forthcoming manuscript introduces an innovative and highly effective methodology that capitalizes on the capabilities of Least Squares Support Vector Machines (LS-SVM) in tandem with the rich insights drawn from Multi-Scale Morphological Texture Features (MMTF) extracted from T1-weighted MR images. Our methodology underwent meticulous evaluation on a substantial dataset encompassing 139 cases, consisting of 119 cases of aberrant tumors and 20 cases of normal brain images. The outcomes we achieved are nothing short of extraordinary. Our LS-SVM-based approach vastly outperforms competing classifiers, demonstrating its dominance with an exceptional accuracy rate of 98.97%. This represents a substantial 3.97% improvement over alternative methods, accompanied by a notable 2.48% enhancement in Sensitivity and a substantial 10% increase in Specificity. These results conclusively surpass the performance of traditional classifiers such as Support Vector Machines (SVM), Radial Basis Function (RBF), and Artificial Neural Networks (ANN) in terms of classification accuracy. The outstanding performance of our model in the realm of brain tumor diagnosis signifies a substantial leap forward in the field, holding the promise of delivering more precise and dependable tools for radiologists and healthcare professionals in their pivotal role of identifying and classifying brain tumors using MRI imaging techniques

Laparoscopic management of a giant trichobezoar causing Rapunzel syndrome: A case report

Trichobezoars are retained clusters of swallowed hairs seen most commonly in adolescent girls. Many of these patients have some underlying psychiatric problem and as this condition is often associated with few or no symptoms, the onset of this condition leads to a delayed presentation. Trichobezoars are most commonly managed by open surgical techniques and there are only a few reports that have used the laparoscopic method for its removal. This report presents the suc- cessful laparoscopic management with port site incision extension for the extraction of giant trichobezoar in a 16-year-old female patient. [Arch Clin Exp Surg 2017; 6(1.000): 41-44

Stigma in coronavirus disease-19 survivors in Kashmir, India: A cross-sectional exploratory study.

BackgroundCoronavirus disease-19 (COVID-19) has not only spawned a lot of stigma and discrimination towards its survivors but also to their corpses. We aimed to assess the magnitude and correlates of stigma in these survivors, on return to their communities.MethodsThis was a cross-sectional, hospital-based, exploratory study conducted by the postgraduate department of psychiatry, in collaboration with the postgraduate department of chest medicine, Govt. medical college, Srinagar. The study was performed among COVID-19 survivors, who attended the outpatient department after their discharge from the hospital. Socio-demographic characteristics were recorded through semi-structured proforma. Stigma was measured by the stigma questionnaire. Data was analyzed using descriptive statistics and regression analysis.ResultsA total of 91 survivors consented to participate in the study. Almost half (46.2%) of them were in the age group of 30-49 years and close to two-thirds (68.1%) were males. About three-fourths (74.7%) were from the urban background. The mean time from hospital discharge to study entry was 11.7±5.1 [Range(R) = 7-21] days. 98% of survivors provided at least one stigma endorsing response and the total mean stigma score was 28.5±7.1[R = 6-39]. The mean stigma sub-scores were highest for enacted stigma (7.6±1.8) [R = 2-9] and externalized stigma (15.0±4.1) [R = 1-20]. Enacted stigma was significantly high in males as compared to females. Enacted stigma and internalized stigma were both associated with education. Enacted stigma, externalized stigma, disclosure concerns, and total stigma was significantly associated with the occupation. Being unemployed and time since discharge were identified as independent predictors of total stigma.ConclusionOur study results showed high levels of enacted and externalized stigma among COVID-19 survivors. Enacted stigma was more among males and in those who were highly educated. Survivor centered and community-driven anti-stigma programs are the need of the hour to promote the recovery and community re-integration of these survivors

Correction: Stigma in coronavirus disease-19 survivors in Kashmir, India: A cross-sectional exploratory study.

[This corrects the article DOI: 10.1371/journal.pone.0240152.]

Soil organic carbon pools and carbon management index under different land use systems in North western Himalayas

Current study was conducted to evaluate the effect of important land uses and soil depth on soil organic carbon pools viz. total organic carbon, Walkley and black carbon, labile organic carbon, particulate organic carbon, microbial biomass carbon and carbon management index (CMI) in the north Western Himalayas, India. Soil samples from five different land uses viz. forest, pasture, apple, saffron and paddy-oilseed were collected up to a depth of 1 m (0–30, 30–60, 60–90 cm). The results revealed that regardless of soil depth, all the carbon pools differed significantly (p < 0.05) among studied land use systems with maximum values observed under forest soils and lowest under paddy-oilseed soils. Further, upon evaluating the impact of soil depth, a significant (p < 0.05) decline and variation in all the carbon pools was observed with maximum values recorded in surface (0–30 cm) soils and least in sub-surface (60–90 cm) layers. CMI was higher in forest soils and lowest in paddy-oilseed. From regression analysis, a positive significant association (high R-squared values) between CMI and soil organic carbon pools was also observed at all three depths. Therefore, land use changes and soil depth had a significant impact on soil organic carbon pools and eventually on CMI, which is used as deterioration indicator or soil carbon rehabilitation that influences the universal goal of sustainability in the long run