Results 91 to 100 of about 24,946,429 (302)

Longitudinal associations of sarcopenia and biological age acceleration with rate of cognitive decline

BMC Public Health
Background Evidence linking sarcopenia to cognitive outcomes is largely cross-sectional; longitudinal studies are limited, and whether biological age acceleration modifies this relationship remains unclear.
Yuwei Hou, Rui Long, Qiuyu Sun, Yaodong Zhang, Kaijuan Wang   +4 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Trajectories and determinants of respiratory syncytial virus prefusion F-specific IgG in older adults

BMC Infectious Diseases
Background Respiratory syncytial virus (RSV) causes substantial morbidity in older adults. However, population-level longitudinal patterns and variability of naturally acquired antibody responses remain insufficiently quantified.
Anthony Simbeya, Manami Negoro, Elijah Deku-Mwin Kuurdor, Ken Sugata, Mizuho Nagao, Junpei Ohtsuka, Soh Yamamoto, Noriko Ogasawara, Masayuki Fukumura, Tetsuya Nosaka, Shigeru Suga, Kiyosu Taniguchi   +11 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Diagnostics for generalised linear mixed models [PDF]

Generalized linear mixed models are generalized linear models that include random effects varying between clusters or 'higher-level' units of hierarchically structured data. Such models can be estimated using gllamm.
Sophia Rabe-Hesketh, Anders Skrondal
core  

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group

Frontiers in Neuroinformatics, 2019
Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses.
Premika S. W. Boedhoe, Premika S. W. Boedhoe, Martijn W. Heymans, Lianne Schmaal, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Pino Alonso, Pino Alonso, Stephanie H. Ameis, Stephanie H. Ameis, Alan Anticevic, Paul D. Arnold, Paul D. Arnold, Marcelo C. Batistuzzo, Francesco Benedetti, Jan C. Beucke, Irene Bollettini, Anushree Bose, Silvia Brem, Anna Calvo, Rosa Calvo, Rosa Calvo, Yuqi Cheng, Kang Ik K. Cho, Valentina Ciullo, Valentina Ciullo, Sara Dallaspezia, Damiaan Denys, Damiaan Denys, Jamie D. Feusner, Kate D. Fitzgerald, Jean-Paul Fouche, Egill A. Fridgeirsson, Patricia Gruner, Gregory L. Hanna, Derrek P. Hibar, Marcelo Q. Hoexter, Hao Hu, Chaim Huyser, Chaim Huyser, Neda Jahanshad, Anthony James, Norbert Kathmann, Christian Kaufmann, Kathrin Koch, Kathrin Koch, Jun Soo Kwon, Jun Soo Kwon, Luisa Lazaro, Luisa Lazaro, Luisa Lazaro, Luisa Lazaro, Christine Lochner, Rachel Marsh, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, José M. Menchón, José M. Menchón, José M. Menchón, Luciano Minuzzi, Astrid Morer, Astrid Morer, Astrid Morer, Takashi Nakamae, Tomohiro Nakao, Janardhanan C. Narayanaswamy, Seiji Nishida, Erika L. Nurmi, Joseph O'Neill, John Piacentini, Fabrizio Piras, Federica Piras, Y. C. Janardhan Reddy, Tim J. Reess, Tim J. Reess, Yuki Sakai, Yuki Sakai, Joao R. Sato, H. Blair Simpson, H. Blair Simpson, Noam Soreni, Carles Soriano-Mas, Carles Soriano-Mas, Carles Soriano-Mas, Gianfranco Spalletta, Gianfranco Spalletta, Michael C. Stevens, Michael C. Stevens, Philip R. Szeszko, Philip R. Szeszko, David F. Tolin, David F. Tolin, Guido A. van Wingen, Ganesan Venkatasubramanian, Susanne Walitza, Zhen Wang, Zhen Wang, Je-Yeon Yun, Je-Yeon Yun, ENIGMA-OCD Working-Group, Paul M. Thompson, Dan J. Stein, Odile A. van den Heuvel, Odile A. van den Heuvel, Jos W. R. Twisk   +106 more
doaj   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source

Linear mixed effects model of confidence judgments.

, 2019
Linear mixed effects model of confidence judgments.
Tyler Surber (6256108), Damian G. Kelty-Stephen (5680013), Joseph D. Clark (4789497), Jonathan K. Doyon (6325757), Alen Hajnal (6256101)   +4 more
core   +1 more source

Evaluating significance in linear mixed-effects models in R [PDF]

Behavior Research Methods, 2016
Mixed-effects models are being used ever more frequently in the analysis of experimental data. However, in the lme4 package in R the standards for evaluating significance of fixed effects in these models (i.e., obtaining p-values) are somewhat vague.
openaire   +2 more sources