Results 271 to 280 of about 35,153 (355)

Milk Fat Globule Membrane Supplementation Attenuates Cognitive Impairment in APP/PS1 Mice via Suppressing Neuroinflammation in a Gut Microbiota‐Mediated Serum Resolvin D1/Anandamide Manner

Food Frontiers, Volume 7, Issue 2, March 2026.
MFGM modulated gut microbiota accompanied by the increased serum RVD1 and AEA levels, which subsequently regulated the miRNA profile. This modulation alleviated neuroinflammation via suppressing the NLRP3 inflammasome signaling and microglial activation, thereby attenuating AD‐related cognitive impairment both in vivo and in vitro.
Han Gong, Qichen Yuan, Min Du, Xiaohan Liu, Xueying Mao   +4 more
wiley   +1 more source

Dad's Diet Shapes the Future: How Paternal Nutrition Impacts Placental Development and Childhood Metabolic Health. [PDF]

Mol Nutr Food Res
Skerrett-Byrne DA, Pepin AS, Laurent K, Beckers J, Schneider R, Hrabě de Angelis M, Teperino R.   +6 more
europepmc   +1 more source

Contrast enhancement of the labyrinth on MR scans in patients with sudden hearing loss and vertigo: evidence of labyrinthine disease.

, 1991
Sharon Seltzer, Mark A. Schnitzler
openalex   +1 more source

Disruption of the l‐DOPA Receptor Gpr143/OA1‐Gene in Mice Creates a Unique Mixed Psychosis‐Like Phenotype

Neuropsychopharmacology Reports, Volume 46, Issue 1, March 2026.
We analyzed the behavior of GPR143 gene‐deficient mice. GPR143‐KO mice displayed a mixed psychiatric phenotype. GPR143 may play a role in mesolimbic and mesocortical functions underlying sensory gating, reward, social hierarchy, cognition, and emotional regulation. ABSTRACT GPR143, originally identified as the gene product of ocular albinism 1 (OA1), a
Yoshio Goshima, Haruko Nakamura, Motokazu Koga, Junka Koyama, Yayoi Kimura, Maya N. Vasishth, Evan Y. Snyder, Masashi Asai, Kenta Sakai, Daiki Masukawa   +9 more
wiley   +1 more source

Sex differences in placental structure and gene expression in ICR mice during embryonic development. [PDF]

Sci Rep
Man X, Usui N, Doi M, Shimada S.
europepmc   +1 more source

Extracellular Vesicles: Biology, Intercellular Communication and Therapeutic Potential in Diabetes

Advanced Therapeutics, Volume 9, Issue 2, February 2026.
Exosome packaging in diabetes mellitus is depicted. Induced expression levels of RBP4, WNT related proteins, TGFB1, BMPs, VEGFs, STAT3, Calpain2 and altered expression levels of microRNAs in the exosomes are responsible for the inflammatory actions, defective central metabolism, myofibroblasts proliferation, dysregulated cell migration, cell ...
Swayam Prakash Srivastava, Lydia Herrmann, Eden Ozkan, Abhiram Kunamneni, Vinamra Swaroop, Geetika Nehra, Rohit Srivastava, Pratima Tripathi, Ken Inoki, Julie E. Goodwin   +9 more
wiley   +1 more source

Adverse events following Synflorix vaccination reported to the Vaccine Adverse Event Reporting System (VAERS), 2010-2024. [PDF]

PLoS One
Cui L, Tong N, Hou S, Yu C.
europepmc   +1 more source

Sex‐specific acceleration of Alzheimer's pathogenesis by chronic sleep‐deprivation

Alzheimer's &Dementia, Volume 22, Issue 2, February 2026.
Abstract INTRODUCTION Sleep impairments likely contribute to Alzheimer's pathology, though specific contributions to disease progression are incompletely understood. We propose that autophagic impairment is associated with chronic sleep disruption and examine how sleep loss and stress influence disease development, including having impacts on ...
Darcy Wear, Christopher Daniel Morrone, Dominic Simpson, Fang Liu, Syed Abid Hussaini, Wai Haung Yu   +5 more
wiley   +1 more source

Trigeminal Nerve and Vestibular System: Update on Pathophysiological and Clinical Links. [PDF]

Audiol Res
Faralli M, Santopietro G, Frati F, Califano L.   +3 more
europepmc   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

British Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 422-444, February 2026.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo, Fatemeh Ahmadi, Mohammad Ali Omrani, Sheikh S. Abdullah, Neda Rostamzadeh, Atefeh Jafari, Lujain Izzedin, Kamran Sedig, Flory T. Muanda   +8 more
wiley   +1 more source