Molecular identification of Hymenopteran insects collected by using Malaise traps from Hazarganji Chiltan National Park Quetta, Pakistan.

The order Hymenoptera holds great significance for humans, particularly in tropical and subtropical regions, due to its role as a pollinator of wild and cultivated flowering plants, parasites of destructive insects and honey producers. Despite this importance, limited attention has been given to the genetic diversity and molecular identification of Hymenopteran insects in most protected areas. This study provides insights into the first DNA barcode of Hymenopteran insects collected from Hazarganji Chiltan National Park (HCNP) and contributes to the global reference library of DNA barcodes. A total of 784 insect specimens were collected using Malaise traps, out of which 538 (68.62%) specimens were morphologically identified as Hymenopteran insects. The highest abundance of species of Hymenoptera (133/538, 24.72%) was observed during August and least in November (16/538, 2.97%). Genomic DNA extraction was performed individually from 90/538 (16.73%) morphologically identified specimens using the standard phenol-chloroform method, which were subjected separately to the PCR for their molecular confirmation via the amplification of cytochrome c oxidase subunit 1 (cox1) gene. The BLAST analyses of obtained sequences showed 91.64% to 100% identities with related sequences and clustered phylogenetically with their corresponding sequences that were reported from Australia, Bulgaria, Canada, Finland, Germany, India, Israel, and Pakistan. Additionally, total of 13 barcode index numbers (BINs) were assigned by Barcode of Life Data Systems (BOLD), out of which 12 were un-unique and one was unique (BOLD: AEU1239) which was assigned for Anthidium punctatum. This indicates the potential geographical variation of Hymenopteran population in HCNP. Further comprehensive studies are needed to molecularly confirm the existing insect species in HCNP and evaluate their impacts on the environment, both as beneficial (for example, pollination, honey producers and natural enemies) and detrimental (for example, venomous stings, crop damage, and pathogens transmission).

Comorbidity Profiles among Obese-Diabetic End-Stage Renal Disease Patients: Data from REIN Registry of PACA Region of France.

INTRODUCTION: The proportion of new dialysis patients with comorbidities increased by an average of 5.6% per year in the Provence-Alpes-Côte d'Azur (PACA) region, with major increases in obese, cancer, and diabetic patients. This study aimed to describe comorbidity profiles among obese-diabetic end-stage renal disease (ESRD) patients in the Renal Epidemiology and Information Network (REIN) registry of the PACA region of France on December 31, 2018. METHODS: Data for this retrospective cross-sectional study were retrieved from the REIN registry of the PACA region. Data were analyzed using two models. Firstly, the ESRD patients were divided into two groups and binary logistic regression model used for the analysis of the data. Secondly, ESRD patients were divided into four groups and multinomial logistic regression model used. Univariate analysis was performed for group comparison using x2 and t-tests, while binary logistic and multinomial logistic regression models were used for multivariate analysis to derive ORs and 95% CIs. RESULTS: Among the 4,491 ESRD patients in this study, 623 were obese-diabetic and 3,868 nonobese-nondiabetic and obese only/ diabetic only. Obese-diabetic ESRD patients were younger (<75 years, OR 0.46, p<0.001), smoked less (OR 0.51, p<0.001), were mainly dialyzed at centers (OR 1.29, p=0.014), and less likely to be on the renal transplant waiting list (OR 0.46, p<0.001) compared to the other group. Obese-diabetic ESRD patients also had more comorbidities, including cardiovascular diseases (OR 1.38, p=0.028), coronary insufficiency (OR 1.49, p=0.001) and chronic obstructive pulmonary disease (OR 1.75, p<0.001), but had fewer cases of cancer (OR 0.68, p=0.024) compare to the other group. CONCLUSION: Obese-diabetic patients with ESRD have many specific characteristics. These patients were younger, but had more cardiovascular comorbidities and were less likely to be on the waiting list for transplantation. They should receive special attention and be the subject of prevention and therapeutic education.

End-stage renal disease treated in Provence-Alpes Côte d'Azur: 12-years follow-up and forecast to the year 2030.

BACKGROUND: This study describes the time trend of renal replacement therapy for end-stage renal disease (ESRD) in the Provence-Alpes Côte d'Azur region (PACA) between 2004 and 2015, and forecasts up to 2030. METHODS: A longitudinal study was conducted on all ESRD patients treated in PACA and recorded in the French Renal Epidemiology and Information Network (REIN) during this period. Time trends and forecasts to 2030 were analyzed using Poisson regression models. RESULTS: Since 2004, the number of new patients has steadily increased by 3.4% per year (95% CI, 2.8-3.9, p < 0.001) and the number of patients receiving RRT has increased by 3.7% per year (RR 1.037, 95% CI: 1.034-1.039, p < 0.001). If these trends continue, the PACA region will be face with 7371 patients on dialysis and 3891 with a functional renal transplant who will need to be managed in 2030. The two most significant growth rates were the percentage of obese people (RR 1.140, 95% CI: 1.131-1.149, p < 0.001) and those with diabetes (RR 1.070, 95% CI; 1.064-1.075, p < 0.001). CONCLUSION: This study highlights the increase in the number of ESRD patients over 12 years, with no prospect of stabilization. These findings allow us to anticipate the quality and quantity of care offered and to propose more preventive measures to combat obesity and diabetes.