Results 221 to 230 of about 2,803,576 (301)

Pyrazole‐Derived Antibacterial Compounds Effectively Treat Methicillin‐Resistant Staphylococcus Aureus Infections by Inhibiting Aspartate Transcarbamoylase

Advanced Science, EarlyView.
This study unveils a novel antibacterial mechanism against MRSA, in which the compound Py‐27 selectively targets and inhibits aspartate transcarbamoylase (ATCase), a key enzyme in pyrimidine synthesis. This inhibition disrupts DNA replication, induces oxidative damage, leading to potent bactericidal activity.
Xiaorong Yang, Xinyuan Cao, Lixia Dai, Feng Yang, Jing Wang, Yudong Ma, Tong Bu, Zile Gong, Xueyan Liu, Changcai Bai, Xiaolou Miao, Xiaofei Shang   +11 more
wiley   +1 more source

Differences in Telemedicine Use Between Rural and Urban Medicare Beneficiaries With Kidney Failure. [PDF]

Kidney Med
Adler JT, Kuk AE, Parast L.
europepmc   +1 more source

[Kidney failure].

Nihon Naika Gakkai zasshi. The Journal of the Japanese Society of Internal Medicine, 2001
openaire   +1 more source

Programmable Encapsulation Enables On‐Demand Proliferation of Therapeutic Bacteria for Potent Cancer Immunotherapy

Advanced Science, EarlyView.
A programmable encapsulation technology is developed to reduce bacterial immunogenicity and proliferation after systemic administration. The cross‐linked polymer networks around individual bacteria enable immunogenic shielding and permit selective proliferation in tumors, allowing the bacteria to convert tumor‐accumulated ammonia into L‐arginine and ...
Jianhui Yang, Ao Peng, Shuaiqiang Li, Yaning Huang, Jian Yan, Leyuan Wang, Zhihui Zhu, Fei‐Long Liu, Erbao Bian, Yang Liu, Dasheng Tian, Fenghe Li, Qi Liu   +12 more
wiley   +1 more source

<i>APOL1</i> Variants, AKI, and Progression to Kidney Failure in People of African Ancestry Living with HIV. [PDF]

Kidney Int Rep
Hung RKY, Booth JW, Hilton R, Campbell L, Fox J, Ustianowski A, Clarke A, Hamzah L, Schoeman S, Bramham K, Burns F, Okhai H, Sabin CA, Winkler CA, Post FA, GEN-AFRICA Study Group.   +15 more
europepmc   +1 more source

UCtracker: A Deep Learning–Based DNA Methylation Model for Noninvasive Diagnosis and Recurrence Surveillance of Urothelial Carcinoma in a Prospective Study

Advanced Science, EarlyView.
We developed UCtracker, a urine DNA methylation–based deep learning model, for noninvasive diagnosis and postoperative surveillance of urothelial carcinoma. UCtracker demonstrates high diagnostic accuracy, robustness at ultralow sequencing depth, early recurrence detection, and dynamic risk‐stratified monitoring of molecular residual disease ...
Shengwei Xiong, Gaojie Li, Yucai Wu, Yuan Liang, Heng Guo, Yu Zhang, Gengyan Xiong, Long Tian, Xin Zhang, Ye Tian, Zhengguo Ji, Bin Guo, Yue Shi, Jian Fan, Zhihua Li, Yanqing Gong, Shiming He, Xuesong Li, Weimin Ci, Liqun Zhou   +19 more
wiley   +1 more source

Predictors of chronic kidney diseases and kidney failure in patients with CAKUT: a cohort study. [PDF]

Int Urol Nephrol
Greco R, Provenzano M, Mollica A, Pezzi G, Di Dio M, Papalia T.   +5 more
europepmc   +1 more source

Ultrasound‐Activated Piezoelectric Neuroimmune Hydrogel Orchestrates Neurogenesis‐Macrophage Crosstalk in Diabetic Wound Healing

Advanced Science, EarlyView.
In this work, we design an ultrasound‐activated piezoelectric hydrogel platform (AOEF@AP5+US) that reprograms neurogenesis‐macrophage crosstalk as an integrated strategy to overcome the intertwined barriers of chronic inflammation, peripheral neuropathy, and impaired regeneration in diabetic wounds.
Kai Wang, Shaowen Zhuo, Binyu Song, Jinan Chen, Xin Zhao, Sijia Li, Shuang You, Dong Jiang, Yuedong Chen, Juanli Dang, Tong Wang, Baolin Guo, Zhou Yu, Baoqiang Song   +13 more
wiley   +1 more source

Predicting Lifetime Risk of Kidney Failure Using Age and a Single eGFR Measurement. [PDF]

J Clin Med
Enoki R, Miyazaki M, Imai E, Tanaka T, Okamoto K.   +4 more
europepmc   +1 more source

Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation

Advanced Science, EarlyView.
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon, Maria Tsiokou, Patricia Marqués, Enriqueta Rodríguez‐Diaz, Hazel Ang, Federico Pietrocola, Christian G. Riedel   +6 more
wiley   +1 more source