Development and validation of a risk assessment tool for uncontrolled type 2 diabetes among patients in South Karnataka, India by Deepak Anil, Sunil Kumar Doddaiah, Rajendra Prasad Shivaswamy, Arun Gopi, Sayana Basheer, Mysore Ramakrishnaiah Narayana Murthy

“…Introduction Diabetes is a chronic medical condition with severe complications mainly caused due to unhealthy lifestyles in genetically susceptible individuals. This study attempts to develop a non-invasive risk assessment tool to identify patients with uncontrolled type 2 diabetes mellitus (T2DM) in southern India.Methodology An exploratory study was conducted among 545 patients with T2DM in the Mysuru district, South India for 6 months. …”
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Amphotericin B Encapsulation in Polymeric Nanoparticles: Toxicity Insights via Cells and Zebrafish Embryo Testing by Magno Maciel-Magalhães, Renata Jurema Medeiros, Nayara Cecília do Couto Guedes, Thais Morais de Brito, Gabriele Fátima de Souza, Beatriz Rodrigues Canabarro, Fausto Klabund Ferraris, Fábio Coelho Amendoeira, Helvécio Vinicius Antunes Rocha, Beatriz Ferreira de Carvalho Patricio, Isabella Fernandes Delgado

“…Zebrafish (<i>Danio rerio</i>) embryos were used as a valuable model for toxicity testing, especially because of their genetic similarity to humans and standardized developmental assessments. …”
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FTO effects the proliferation, invasion, and glycolytic metabolism of colon cancer by regulating PKM2 by Kongyan Zhang, Fei Zhang, Jiahe Wang

“…The Fat mass and obesity-associated protein (FTO), a genetic variant associated with obesity, significantly impact the energetic metabolism of mechanical tumors. …”
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Ticks and Tick-Borne Pathogens in Wild Animals and Birds from Two Rehabilitation Facilities in Greece by Dimitrios Vourvidis, Georgia Tzouganatou, Sokratis Perdikaris, Evangelia Kofidou, Beatriz Martinez-Gonzalez, Mary Emmanouil, Emmanouil Papadogiannakis, Anastasia Komnenou, Emmanouil Angelakis

“…Phylogenetic analysis revealed close genetic relationships between the detected <i>Rickettsia</i> species and those previously reported in neighboring regions. …”
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Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study by Qun Wang, Yuan Cao, Lianqun Jia

“…Two GWAS datasets were examined to take intersections of SNPs from 51,589 cases and 343,079 controls, and 14,334 cases and 346,860 controls to determine genetic susceptibility to coronary atherosclerosis. …”
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On the relationship among linear type traits and functional longevity in the Italian Mediterranean buffalo using a Weibull proportional hazards model by M. Gómez-Carpio, D. Rossi, R. Cimmino, Y. Gombia, D. Altieri, R. Di Palo, G. Campanile, S. Biffani, G. Neglia

“…Therefore, this model would be recommended for future implementation of the first genetic evaluation of LPL in the Italian Mediterranean buffalo.…”
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Phylogenetic analysis of dermatophytes isolated from small domestic animals by A. M. Smagulova, E. V. Kukhar, T. I. Glotova, A. G. Glotov

“…The analysis of ITS4F/ITS5R sequence fragment structures enabled the establish- ment of genetic relatedness between the Trichophyton benhamiae strains first isolated from cats in Russia and the Russian strain recovered from a guinea pig. …”
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Chemotherapy in synergy with innate immune agonists enhances T cell priming for checkpoint inhibitor treatment in pancreatic cancer by Nan Niu, Keyu Li, Junke Wang, Vanessa Funes, Birginia Espinoza, Pan Li, Jianxin Wang, Melissa Lyman, Mengni He, Brian Herbst, Michael Wichroski, Ruslan Novosiadly, Sami Shoucair, Yiping Mou, Lei Zheng

“…Methods We thus tested, by using the preclinical model of PDACs including the genetically engineered mouse KPC spontaneous pancreatic tumor model and the pancreatic KPC tumor orthotopic implant model, the combinations of synthetic innate immune agonists including STING and NLRP3 agonist, respectively, and ICIs with or without chemotherapy. …”
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A novel high-throughput screen identifies phenazine-1-carboxylic acid as an inhibitor of African swine fever virus replication in primary porcine alveolar macrophages by Jing Lan, Rui Luo, Di Liu, Changxing Qi, Xin Song, Zhanhao Lu, Ruojia Huang, Yuying Yang, Yuan Sun, Yonghui Zhang, Tao Wang, Hua-Ji Qiu

“…Furthermore, analysis of Gluc activities, fluorescence, and next-generation sequencing indicated that rASFV-Gluc/EGFP maintains good genetic stability after 20 consecutive passages in PAMs. …”
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Protective role of vitamin D receptor against mitochondrial calcium overload from PM2.5-Induced injury in renal tubular cells by Mengqiu Lu, Zishun Zhan, Dan Li, Hengbing Chen, Aimei Li, Jing Hu, Zhijun Huang, Bin Yi

“…VDR activation, achieved through genetic overexpression and paricalcitol, was induced to examine its effect on mitochondrial calcium uniporter (MCU) expression and mitochondrial calcium regulation. …”
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Comparative plastome analyses and evolutionary relationships of 25 East Asian species within the medicinal plant genus Scrophularia (Scrophulariaceae) by Xia Wang, Lei Guo, Lulu Ding, Leopoldo Medina, Ruihong Wang, Pan Li

“…We categorized the 25 East Asian Scrophularia species into six distinct clades and further explored their interspecies relationships using morphological characteristics, such as flower color, the relative position of stamens and corolla, and plant height. This could lay a genetic basis for future resource development of Scrophularia in East Asia.…”
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Arabidopsis apoplast TET8 positively correlates to leaf senescence, and tet3tet8 double mutants are delayed in leaf senescence by Jayde A. Zimmerman, Benjamin Verboonen, Andrew P. Harrison Hanson, Luis R. Arballo, Judy A. Brusslan

“…In addition, apoplast TET8 was more abundant in the early leaf senescence myb59 mutant, meaning the increase in apoplast TET8 protein during leaf senescence is not dependent on pen1 or pen3. Genetic analysis showed a significant delay in leaf senescence in tet3tet8 double mutants after 6 weeks of growth suggesting that these two tetraspanin paralogs operate additively and are positive regulators of leaf senescence. …”
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A guide for the generation of repositories of clinical samples for research on Chagas disease. by Nieves Martínez-Peinado, Juan Carlos Gabaldón-Figueira, Roberto Rodrigues Ferreira, María Carmen Thomas, Manuel Carlos López, Tania Cremonini Araújo-Jorge, Belkisyolé Alarcón de Noya, Soledad Berón, Janine Ramsey, Irene Losada Galván, Alejandro Gabriel Schijman, Adriana González Martínez, Andrés Mariano Ruiz, Gimena Rojas, Roberto Magalhães Saraiva, Oscar Noya-González, Andrea Gómez, Rosa A Maldonado, Jimmy Pinto, Faustino Torrico, Ivan Scandale, Fernán Agüero, María-Jesús Pinazo, Joaquim Gascón, Alejandro Marcel Hasslocher-Moreno, Julio Alonso-Padilla, NHEPACHA Network (New Tools for the Diagnosis and Evaluation of Chagas Disease)

“…New diagnostic methods, such as rapid tests (RDTs) to diagnose chronic Chagas disease, or loop-mediated isothermal amplification (LAMP), to detect acute infections, represent valuable alternatives, but the parasite's remarkable genetic diversity might make its implementation difficult. …”
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Evaluation of the ABC pathway in patients with atrial fibrillation: A machine learning cluster analysis by Jingyang Wang, Haiyang Bian, Jiangshan Tan, Jun Zhu, Lulu Wang, Wei Xu, Lei Wei, Xuegong Zhang, Yanmin Yang

“…Conclusion: Our study suggested specific optimization strategies of risk stratification and integrated management for different groups of AF patients considering multiple clinical, genetic and socioeconomic factors.…”
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Integrating phylogeographic and phenotypic evidence to delimit deep evolutionary lineages in the Dryophytes japonicus species complex, with an assessment of their conservation need... by Amaël Borzée, Yikweon Jang, Siti N. Othman, Jordy Groffen, Irina V. Maslova, Zoljargal Purevdorj, Kiyomi Yasumiba, Tomohiko Shimada, Yoonjung Yi, Natalya Alekseevna Schepina, Desiree Andersen, Yoonhyuk Bae, Ikuo Miura, Christophe Dufresnes

“…In this study, we assessed the genetic, genomic, morphological, and acoustic diversity and differentiation within the D. japonicus complex to propose taxonomic arrangements and assess taxon-specific threats for each defined clade. …”
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Probiotics in the Complex Treatment of Various Diseases of the Gastrointestinal Tract by K. V. Ivashkin, M. S. Reshetova, O. Yu. Zolnikova, V. R. Korneev, E. N. Shirokova

“…The human microbiome affects many organs at the biochemical, molecular and genetic levels. It has been confirmed that the microbiome participates in the development of inflammatory and functional diseases of the gastrointestinal tract, affects the immune system, central nervous system and mental status. …”
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Oral Health Impact Profile in Celiac Patients: Analysis of Recent Findings in a Literature Review by Gabriele Cervino, Luca Fiorillo, Luigi Laino, Alan Scott Herford, Floriana Lauritano, Giuseppe Lo Giudice, Fausto Famà, Rossella Santoro, Giuseppe Troiano, Gaetano Iannello, Marco Cicciù

“…The celiac disease (CD) is a chronic immune-mediated disorder triggered by the ingestion of gluten that appears in genetically predisposed patients. Gluten is a proline-rich and glutamine-rich protein present in wheat (gliadin), barley (hordein), and rye (secalin). …”
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Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery by Elliot D. K. Cha, Yogasudha Veturi, Chirag Agarwal, Aalpen Patel, Mohammad R. Arbabshirani, Sarah A. Pendergrass

“…This study supports the utility of pursuing future clinical and genetic discoveries with existing imaging data-derived adipose tissue measures deployed at a larger scale.…”
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Correcting scale distortion in RNA sequencing data by Christopher Thron, Farhad Jafari

“…This is now regularly used for population-based studies designed to identify genetic determinants of various diseases. Naturally, the accuracy of these tests should be verified and improved if possible. …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…Techniques used for electricity demand forecasting encompass artificial intelligence, artificial neural networks, trend line extrapolations, fuzzy logic, vector support machines, genetic algorithms and expert systems. Demand forecasting becomes even more difficult in polygeneration utilities with renewable energy sources integrated to meet the varying demands. …”
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