Results 41 to 50 of about 611,680 (333)

The negative impact of sugar-sweetened beverages on children’s health: an update of the literature

BMC Obesity, 2018
While sugar sweetened beverage (SSB) consumption has declined in the last 15 years, consumption of SSBs is still high among children and adolescents. This research synthesis updates a prior review on this topic and examines the evidence regarding the ...
S. Bleich, K. Vercammen
semanticscholar   +1 more source

Self‐Assembled Physical Unclonable Function Labels Based on Plasmonic Coupling

Advanced Optical Materials, EarlyView.
This article introduces advanced anti‐counterfeit labels crafted through DNA‐guided self‐assembly of plasmonic nanoparticles. Utilizing nanosphere lithography for dense and precise nanoparticle placement, these labels feature unique, unclonable optical signatures achieved through plasmonic coupling, detectable by an economical 3D‐printed dark field ...
Mihir Dass, Lena Raab, Christoph Pauer, Christoph Sikeler, Larissa Heinze, Joe Tavacoli, Irina V. Martynenko, Ulrich Rührmair, Gregor Posnjak, Tim Liedl   +9 more
wiley   +1 more source

The developmental trajectories of the behavioral phenotype and neuropsychiatric functioning in Cornelia de Lange and Rubinstein Taybi syndromes: A longitudinal study

American Journal of Medical Genetics Part A, Volume 191, Issue 2, Page 424-436, February 2023., 2023
Abstract Several changes in the behavioral phenotype arise with the growth of children affected by Cornelia de Lange Syndrome (CdLS) and Rubinstein‐Taybi Syndrome (RSTS). However, previous research relied on a cross‐sectional study design turning into age‐related comparisons of different syndromic cohorts to explore age‐dependent changes.
Paola Francesca Ajmone, Ludovica Giani, Beatrice Allegri, Giovanni Michelini, Francesca Dall'Ara, Claudia Rigamonti, Federico Monti, Paola Giovanna Vizziello, Angelo Selicorni, Donatella Milani, Simona Scaini, Antonella Costantino   +11 more
wiley   +1 more source

Transcriptomic Profiling Unveils EDN3+ Meningeal Fibroblasts as Key Players in Sturge‐Weber Syndrome Pathogenesis

Advanced Science, EarlyView.
Sturge‐Weber syndrome (SWS) is characterized by leptomeningeal vascular malformations, leading to seizures and stroke. Analysis of 119 446 brain cells from SWS patients uncovered distinct cell heterogeneity and identified an EDN3⁺ meningeal fibroblast cluster, with WNT5A emerging as a potential key driver of SWS progression and a promising therapeutic ...
Daosheng Ai, Tianyue Ming, Xiaoli Li, Shu Wang, Zhanying Bi, Jinyi Zuo, Zizhang Cheng, Weijin Sun, Mingguo Xie, Fengzhi Li, Xiongfei Wang, Xueling Qi, Guoming Luan, Woo‐ping Ge, Yuguang Guan   +14 more
wiley   +1 more source

Genetic and phenotypic spectrum in the NONO‐associated syndromic disorder

American Journal of Medical Genetics Part A, Volume 191, Issue 2, Page 469-478, February 2023., 2023
Abstract The non‐POU domain‐containing octamer‐binding (NONO) protein is involved in multiple steps of gene regulation such as RNA metabolism and DNA repair. Hemizygous pathogenic variants in the NONO gene were confirmed to cause a rare X‐linked syndromic disorder. Through our in‐house diagnostics and subsequent matchmaking, we identified six unrelated
Franziska Roessler, Anita E. Beck, Ball Susie, Bartolomaeus Tobias, Amber Begtrup, Saskia Biskup, Oana Caluseriu, Norman Delanty, Christine Fröhlich, Marie T. Greally, Maike Karnstedt, Chiara Klöckner, Joanne Kurtzberg, Susanna Schubert, Martin Schulze, Michael Weidenbach, Dominik S. Westphal, Maire White, Cordula M. Wolf, Jacob Zyskind, Bernt Popp, Vincent Strehlow   +21 more
wiley   +1 more source

Large‐Scale Plasma Proteomics to Profile Pathways and Prognosis of Chronic Pain

Advanced Science, EarlyView.
This study delineates both common and site‐specific proteins linked to various chronic pain conditions, elucidating their implications across molecular pathways and health status. These findings, particularly those proteins with genetic causal links to pain or predictive capabilities, have the potential to significantly benefit both research and ...
Ze‐Yu Li, Qing Ma, Jie Zhang, Rui‐Ying Yin, Jia You, Qi‐Zheng Hao, Xin‐Rui Wu, Ju‐Jiao Kang, Lin‐Bo Wang, Yue‐Ting Deng, Yu‐Zhu Li, Chun Shen, Bang‐Sheng Wu, Jian‐Feng Feng, Yi‐Heng Tu, Xiao Xiao, Jin‐Tai Yu, Wei Cheng   +17 more
wiley   +1 more source

Priorities for global research into children’s palliative care: results of an International Delphi Study

BMC Palliative Care, 2015
BackgroundThere is an urgent need to develop an evidence base for children’s palliative care (CPC) globally, and in particular in resource-limited settings.
J. Downing, C. Knapp, M. Muckaden, S. Fowler-Kerry, J. Marston   +4 more
semanticscholar   +1 more source

Advancements in Biochar as a Sustainable Adsorbent for Water Pollution Mitigation

Advanced Science, EarlyView.
Biochar, obtained through pyrolysis of organic waste, serves as a sustainable solution for wastewater treatment due to its adaptability and low‐cost nature. This review comprehensively examines recent advancements in biochar production, functional modifications, and applications, highlighting the integration of machine learning and artificial ...
Devika Laishram, Su‐Bin Kim, Seul‐Yi Lee, Soo‐Jin Park   +3 more
wiley   +1 more source

Immunity Debt for Seasonal Influenza After the COVID‐19 Pandemic and as a Result of Nonpharmaceutical Interventions: An Ecological Analysis and Cohort Study

Advanced Science, EarlyView.
This study provides support for the immunity debt hypothesis, revealing a 131.72% increase in influenza rates during winter and a 161.23% rise in summer, 1 year following the global easing of COVID‐19 restrictions. This study offers empirical evidence of immunity debt on a global level, highlighting the importance of incorporating this concept into the
Li Chen, Yuchen Guo, Kim López‐Güell, Jun Ma, Yanhui Dong, Junqing Xie, Daniel Prieto Alhambra   +6 more
wiley   +1 more source

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

Advanced Science, EarlyView.
Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo   +5 more
wiley   +1 more source