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Новости за 24.06.2024

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Trilobatin ameliorates dextran sulfate sodium-induced ulcerative colitis in mice via the NF-κB pathway and alterations in gut microbiota

Plos.org 
En

by Nanbo Wang, Zhaohui Li, Lingling Cao, Zhihua Cui

Objective

This study aimed to evaluate the effects of trilobatin (TLB) on dextran sulfate sodium (DSS)-induced ulcerative colitis (UC) in mice and further explore the underlying mechanisms from the perspectives of signaling pathway and gut microbiota.

Methods

A mouse model of UC was established using DSS. Trilobatin was administered via oral gavage. Disease severity was assessed based on body weight, disease activity index (DAI)... Читать дальше...

Influencing factors of stroke in patients with type 2 diabetes: A systematic review and meta-analysis

Plos.org 
En

by Mengjiao Zhao, Yongze Dong, Luchen Chen, Huajuan Shen

Background

Stroke stands as a significant macrovascular complication among individuals with Type 2 diabetes mellitus (T2DM), often resulting in the primary cause of mortality and disability within this patient demographic. Presently, numerous studies have been conducted to investigate the underlying causes of stroke in individuals with T2DM, yet the findings exhibit inconsistencies.

Objective

This paper aims to consolidate... Читать дальше...

Examining the influence of environmental factors on Acanthamoeba castellanii and Pseudomonas aeruginosa in co-culture

Plos.org 
En

by Rhiannon E. Cecil, Deborah R. Yoder-Himes

Exploration of interspecies interactions between microorganisms can have taxonomic, ecological, evolutionary, or medical applications. To better explore interactions between microorganisms it is important to establish the ideal conditions that ensure survival of all species involved. In this study, we sought to identify the ideal biotic and abiotic factors that would result in high co-culture viability of two interkingdom species, Pseudomonas aeruginosa and Acanthamoeba castellanii... Читать дальше...

Boosting agricultural green development: Does socialized service matter?

Plos.org 
En

by Yongqi Yu, Zexin Chi, Yanfeng Yu, Junjie Zhao, Liulin Peng

Agricultural socialized service is gradually emerging as a new stimulus for enhancing the agricultural production environment. However, their precise impact on improving the agricultural ecological environment and promoting the green development of agriculture remains incompletely understood. Therefore, leveraging panel data spanning from 2003 to 2020 across 31 provinces in China, this study utilizes the bidirectional fixed effect model... Читать дальше...

Study on vertical variation characteristics of soil phosphorus adsorption and desorption in black soil region of Northeast China

Plos.org 
En

by Wenzhi Zhao, Xu Xie, Tian He, Jintao Zhang, Jiufen Liu

The adsorption and desorption of phosphorus (P) in soil constitute a crucial internal cycle that is closely associated with soil fertility, exerting direct influence on the quantity, form, and availability of P within the soil. The vertical spatial variation characteristics of soil adsorption and desorption were investigated for the 0–100 cm soil layer in the northeast black soil region in this study. The maximum adsorption capacity... Читать дальше...



Exploring the role of temperature and other environmental factors in West Nile virus incidence and prediction in California counties from 2017–2022 using a zero-inflated model

Plos.org 
En

by Noah Parker

West Nile virus (WNV) is the most common mosquito-borne disease in the United States, resulting in hundreds of reported cases yearly in California alone. The transmission cycle occurs mostly in birds and mosquitoes, making meteorological conditions, such as temperature, especially important to transmission characteristics. Given that future increases in temperature are all but inevitable due to worldwide climate change, determining associations between temperature and WNV incidence in humans... Читать дальше...

Spatial and temporal clustering of typhoid fever in an urban slum of Dhaka City: Implications for targeted typhoid vaccination

Plos.org 
En

by Faisal Ahmmed, Farhana Khanam, Md Taufiqul Islam, Deok Ryun Kim, Sophie Kang, Md Golam Firoj, Asma Binte Aziz, Masuma Hoque, Xinxue Liu, Hyon Jin Jeon, Suman Kanungo, Fahima Chowdhury, Ashraful Islam Khan, Khalequ Zaman, Florian Marks, Jerome H. Kim, Firdausi Qadri, John D. Clemens, Birkneh Tilahun Tadesse, Justin Im

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Safety and pharmacokinetics of VRC07-523LS administered via different routes and doses (HVTN 127/HPTN 087): A Phase I randomized clinical trial

Plos.org 
En

by Stephen R. Walsh, Cynthia L. Gay, Shelly T. Karuna, Ollivier Hyrien, Timothy Skalland, Kenneth H. Mayer, Magdalena E. Sobieszczyk, Lindsey R. Baden, Paul A. Goepfert, Carlos del Rio, Guiseppe Pantaleo, Philip Andrew, Carissa Karg, Zonglin He, Huiyin Lu, Carmen A. Paez, Jane A. G. Baumblatt, Laura L. Polakowski, Wairimu Chege, Maija A. Anderson, Sophie Janto, Xue Han, Yunda Huang, Julie Dumond, Margaret E. Ackerman, Adrian B. McDermott, Britta Flach, Estelle Piwowar-Manning, Kelly Seaton, Georgia D. Читать дальше...

Trends in weight gain recorded in English primary care before and during the Coronavirus-19 pandemic: An observational cohort study using the OpenSAFELY platform

Plos.org 
En

by Miriam Samuel, Robin Y. Park, Sophie V. Eastwood, Fabiola Eto, Caroline E. Morton, Daniel Stow, Sebastian Bacon, Amir Mehrkar, Jessica Morley, Iain Dillingham, Peter Inglesby, William J. Hulme, Kamlesh Khunti, Rohini Mathur, Jonathan Valabhji, Brian MacKenna, Sarah Finer, The OpenSAFELY Collaborative

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Новости России
Москва

Столичные росгвардейцы провели новогоднее представление в рамках акции «Дед Мороз специального назначения»


Protein loop structure prediction by community-based deep learning and its application to antibody CDR H3 loop modeling

Plos.org 
En

by Hyeonuk Woo, Yubeen Kim, Chaok Seok

As of now, more than 60 years have passed since the first determination of protein structures through crystallography, and a significant portion of protein structures can be predicted by computers. This is due to the groundbreaking enhancement in protein structure prediction achieved through neural network training utilizing extensive sequence and structure data. However, substantial challenges persist in structure prediction due to limited data availability... Читать дальше...


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