Results 171 to 180 of about 266,484 (376)
ABSTRACT Aims To explore the boundary of clinical use of sacral nerve stimulation (SNS) in neurogenic lower urinary tract dysfunction (NLUTD), identifying barriers to approval and early‐impact research questions. Methods This review is derived from a proposal discussion at the International Consultation on Incontinence‐Research Society in Bristol in ...
Marcus J. Drake +6 more
wiley +1 more source
Abnormal Response of the Neuropeptide Y-Deficient Mouse Reproductive Axis to Food Deprivation But Not Lactation [PDF]
Jennifer W. Hill, Jon E. Levine
openalex +1 more source
Regulatory mechanisms of reproduction in locusts and grasshoppers
Regulatory networks composed of numerous coding and noncoding genes play crucial roles in the reproduction of locusts and grasshoppers. This review integrates mechanistic advances in reproductive regulation, highlighting environmentally adaptive pathways and providing prospective targets for eco‐friendly pesticides.
Jing He, Jiliang Wang, Xinran Wang
wiley +1 more source
Plasma neuropeptide as a prognostic marker of vagus nerve stimulation in the treatment of epilepsy
Jingbo Gao, Min Bao
openalex +1 more source
Review for "The dendron and episodic neuropeptide release" [PDF]
Susan Wray
openalex +1 more source
Flight in female beet webworms (Loxostege sticticalis) promotes an increase in feeding, thereby enhancing abdominal energy reserves. Following flight, the flight muscles undergo accelerated histolysis, and the energy substances undergoing histolysis are redirected to the ovaries. These two processes collectively promote ovarian development.
Yu Gao +5 more
wiley +1 more source
ABSTRACT Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline and pathological protein aggregation. Comprehensive quantitative proteomics of brain tissues from AD patients is critical for pursuing a better understanding of the molecular mechanisms that drive AD progression.
Mehrdad Falamarzi Askarani +3 more
wiley +1 more source
Comparative Analysis of Deep Learning‐Based Algorithms for Peptide Structure Prediction
ABSTRACT While of primary importance in both the biomedical and therapeutic fields, peptides suffer from a relative lack of dedicated tools to predict efficiently and accurately their 3D structures despite being a crucial step in understanding their physio‐pathological function or designing new drugs. In recent years, deep‐learning methods have enabled
Clément Sauvestre +2 more
wiley +1 more source

