Xinyang Yu

Jan 10, 2025 | kcl.ac.uk | Xinyang Yu |Zuo Zhang

The study, published in Nature Mental Health, investigates the links between genetics, brain structure and disordered eating behaviours in young people. Researchers found that the process of ‘brain maturation’, whereby the volume and thickness of the cortex (the outer layer of the brain) decreases during adolescence, is a factor in whether teenagers develop restrictive or emotional/uncontrolled eating behaviours in young adulthood.

Jan 9, 2025 | nature.com | Xinyang Yu |Zuo Zhang |Moritz Herle |Tobias Banaschewski |Gareth Barker |Herta Flor | +16 more

AbstractUnhealthy eating, a risk factor for eating disorders (EDs) and obesity, often coexists with emotional and behavioral problems; however, the underlying neurobiological mechanisms are poorly understood. Analyzing data from the longitudinal IMAGEN adolescent cohort, we investigated associations between eating behaviors, genetic predispositions for high body mass index (BMI) using polygenic scores (PGSs), and trajectories (ages 14–23 years) of ED-related psychopathology and brain maturation.

Nov 24, 2024 | mdpi.com | Yuhang Zhang |Xinyang Yu |Guocan Yu |Chongyu Tian

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Sep 30, 2024 | nature.com | Sylvane Desrivières |Xinyang Yu |Markus M Nöthen

Integrative analyses that incorporate different levels of ‘-omics’ data represent a powerful tool for deciphering the biological mechanisms that underlie environmental influences on mental health and disease. This Comment highlights various aspects of such multi-omics approaches, using the example of the EU-funded environMENTAL project. Multi-omics analyses have become a powerful tool within medical research.

May 9, 2024 | nature.com | Xinyang Yu |Guokai Chen |Ke He

AbstractSingle cell RNA sequencing (scRNA-seq), a powerful tool for studying the tumor microenvironment (TME), does not preserve/provide spatial information on tissue morphology and cellular interactions. To understand the crosstalk between diverse cellular components in proximity in the TME, we performed scRNA-seq coupled with spatial transcriptomic (ST) assay to profile 41,700 cells from three colorectal cancer (CRC) tumor-normal-blood pairs.