Sheng-Di Cui, Dong Chen, Zhen-Jian Zhao, Qi Shen, Yang Yu, Jun-Ge Wang, Zi-Yang Chen, Shi-Xin Yu, Jia-Miao Chen, Ping-Xian Wu, Zong-Yi Guo, Jin-Yong Wang, Xue-Wei Li, Guo-Qing Tang. 2026. Integrated spatial transcriptomic and metabolic profiling identifies molecular networks associated with cognitive performance in the porcine prefrontal cortex. Zoological Research, 47(3): 621-634. DOI: 10.24272/j.issn.2095-8137.2025.286
Citation: Sheng-Di Cui, Dong Chen, Zhen-Jian Zhao, Qi Shen, Yang Yu, Jun-Ge Wang, Zi-Yang Chen, Shi-Xin Yu, Jia-Miao Chen, Ping-Xian Wu, Zong-Yi Guo, Jin-Yong Wang, Xue-Wei Li, Guo-Qing Tang. 2026. Integrated spatial transcriptomic and metabolic profiling identifies molecular networks associated with cognitive performance in the porcine prefrontal cortex. Zoological Research, 47(3): 621-634. DOI: 10.24272/j.issn.2095-8137.2025.286

Integrated spatial transcriptomic and metabolic profiling identifies molecular networks associated with cognitive performance in the porcine prefrontal cortex

  • Pigs possess advanced cognitive capabilities and provide a valuable large-animal model for studying human cognition and neurological disorders. To elucidate the molecular architecture underlying cognitive function, spatial transcriptomics and metabolomics were integrated to generate a high-resolution, multidimensional map of the porcine prefrontal cortex. This framework enabled precise localization of cognition-associated molecular programs within structurally complex neural tissue. Focusing on cortical layers III–V, the spatial distribution of transcripts and metabolites was systematically resolved, identifying CHGB as a cognition-linked gene associated with synaptic depolarization, cognitive performance, and neuropeptide secretion. Differential CHGB expression across cognitive groups was further validated through immunohistochemical analysis and Y-maze behavioral testing in stratified mouse models. Integrated gene-metabolite network reconstruction further implicated cortical aerobic glycolysis in cognitive regulation and revealed a layered molecular architecture that connected transcriptional activity, metabolic state, and neurochemical signaling. These findings provide the first spatially resolved multi-omics framework for a large gyrencephalic brain and establish a novel paradigm for advancing research in cognition-related mechanisms and neurodegenerative disease pathways.
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