Evidence-based Interventions for Youth With Concurrent Mental Health and Substance Use Disorders: A Scoping Review: Interventions fondées sur des données probantes pour les jeunes atteints de troubles concomitants de santé mentale et liés à l'usage de substances psychoactives : une étude de la portée.

Background: Mental health and substance use disorders typically onset during youth and commonly co-occur. Integrated treatment of two or more co-existing mental health and substance use disorders (i.e.

Rational engineering of minimally immunogenic nucleases for gene therapy.

Genome editing using CRISPR-Cas systems is a promising avenue for the treatment of genetic diseases. However, cellular and humoral immunogenicity of genome editing tools, which originate from bacteria, complicates their clinical use. Here we report reduced immunogenicity (Red)(i)-variants of two clinically relevant nucleases, SaCas9 and AsCas12a.

Fungal symbiont transmitted by free-living mice promotes type 2 immunity.

The gut mycobiota is crucial for intestinal homeostasis and immune function. Yet its variability and inconsistent fungal colonization of laboratory mice hinders the study of the evolutionary and immune processes that underpin commensalism. Here, we show that Kazachstania pintolopesii is a fungal commensal in wild urban and rural mice, with an exceptional ability to colonize the mouse gastrointestinal tract and dominate the gut mycobiome.

Accurate RNA 3D structure prediction using a language model-based deep learning approach.

Accurate prediction of RNA three-dimensional (3D) structures remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing RNA-targeting drug development and synthetic biology design. The structural flexibility of RNA, which leads to the scarcity of experimentally determined data, complicates computational prediction efforts.

Deep generative design of RNA aptamers using structural predictions.

RNAs represent a class of programmable biomolecules capable of performing diverse biological functions. Recent studies have developed accurate RNA three-dimensional structure prediction methods, which may enable new RNAs to be designed in a structure-guided manner. Here, we develop a structure-to-sequence deep learning platform for the de novo generative design of RNA aptamers.