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Alzheimer's disease (AD) is a prevalent neurodegenerative disorder characterized by significant impairment in energy metabolism. Our previous studies have demonstrated that moxibustion can ameliorate cognitive dysfunction by enhancing brain energy metabolism in individuals with AD, yet its fundamental mechanism remains incompletely understood. In this study, spatial transcriptomics, biochemical assays, and transmission electron microscopy were utilized to identify differentially expressed genes related to metabolism and their functions, as well as to determine the key metabolic genes influenced by moxibustion. Moxibustion significantly promote spatial learning and memory ability, while reducing the production of hippocampal pathological markers in APP/PS1 mice. Respiratory chain complex I may play an important role in regulating energy metabolism in the hippocampus during moxibustion. Additionally, moxibustion also elevated co-expression of PSD95/SYN, which exhibited a positive correlation with energy metabolism. Thus moxibustion has the potential to improve energy metabolism and synaptic plasticity in the hippocampus, subsequently ameliorating learning and memory impairments.
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http://dx.doi.org/10.1007/s12035-025-05147-2 | DOI Listing |
Nature
September 2025
Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Small cell lung cancer (SCLC) is a highly aggressive type of lung cancer, characterized by rapid proliferation, early metastatic spread, frequent early relapse and a high mortality rate. Recent evidence has suggested that innervation has an important role in the development and progression of several types of cancer. Cancer-to-neuron synapses have been reported in gliomas, but whether peripheral tumours can form such structures is unknown.
View Article and Find Full Text PDFMicrobes Environ
September 2025
Sustainable Process Engineering Center, Department of Chemical Engineering, Faculty of Engineering, Universiti Malaya.
Nitrifying communities in activated sludge play a crucial role in biological nitrogen removal processes in municipal wastewater treatment plants. While extensive research has been conducted in temperate regions, limited information is available on nitrifiers in tropical regions. The present study investigated all currently known nitrifying communities in two full-scale municipal wastewater treatment plants in Malaysia operated under low-dissolved oxygen (DO) (0.
View Article and Find Full Text PDFMethods Cell Biol
September 2025
Department of Basic Sciences, Faculty of Medicine and Sciences, Universidad San Sebastián, Santiago, Chile. Electronic address:
Obesity is a multifactorial disease characterized by excessive accumulation of adipose tissue, resulting from an imbalance between energy intake and expenditure. Mouse models have emerged as invaluable tools for elucidating the complex genetic, environmental, and physiological mechanisms driving to obesity. This chapter provides an overview of the methodologies employed to establish and study obesity in mice, highlighting their relevance to human disease.
View Article and Find Full Text PDFInt J Sport Nutr Exerc Metab
September 2025
Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
Technological innovations can provide cyclists and their support team additional data. These data have potential to improve understanding of performance determinants and could be used to identify and tailor nutritional strategies to improve cycling performance. This potential, however, is dependent on the quality, interpretation, and practical use of the data generated.
View Article and Find Full Text PDFJ Genet Genomics
September 2025
State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangd
The genetic basis of early-stage salt tolerance in alfalfa (Medicago sativa L.), a key factor limiting its productivity, remains poorly understand. To dissect this complex trait, we integrate genome-wide association study (GWAS) and transcriptomics (RNA-seq) from 176 accessions within a machine learning based genomic prediction framework.
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