Ying Ji

Dr. Ying Ji

Harbin Sport University, Harbin, Heilongjiang, China

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 November 2026 in Brain Sciences
Verified
Journal Article
Open access
PDF file
雪王雪 王
雪 王
JLJunjie Liu
Junjie Liu
YLYing LI
Ying LI
YLYanyan Liu
Yanyan Liu
YJYing Ji
Ying Ji
ZMZheng Mi
Zheng Mi
Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are prevalent neurodevelopmental disorders in childhood and adolescence in which neuroimmune dysregulation and altered microglial function have been increasingly implicated, albeit with substantially different levels of human versus preclinical evidence. Preclinical (in vitro and rodent) studies indicate that contracting skeletal muscle secretes bioactive exercise-induced factors (exerkines)—including irisin, cathepsin B, lactate, and extracellular vesicles—that can directly cross or indirectly signal across the blood–brain barrier, modulate microglial inflammatory states, and support synaptic plasticity. However, whether this complete peripheral-to-central cascade operates to normalize synaptic pruning in children and adolescents with ASD or ADHD remains unconfirmed. In this review, we propose the developmental muscle–microglia axis as a hypothesis-generating conceptual framework and specifically focus on its intersection with pubertal maturation. We critically synthesize in vitro, animal, and human evidence on how key exerkines and multi-pathway brain-derived neurotrophic factor (BDNF) regulation may interact with surging sex hormones during the pubertal transition to influence microglial activity and neuroepigenetic states. Furthermore, we frame modality-specific exercise parameters (FITT-VP model) and multimodal wearable/biomarker closed-loop monitoring as candidate hypotheses and conceptual proposals for future clinical trials in youth with ASD and ADHD, while highlighting methodological limitations, safety considerations, and translational gaps.