Article
Geriatrics & Gerontology
Cyriel Sebastiaan Olie, Rene Zeijl, Salma Abdellaoui, Arjen Kolk, Celeste Overbeek, Rob G. H. H. Nelissen, Bram Heijs, Vered Raz
Summary: This study utilized MALDI-MSI technology to spatially profile the metabolism of shoulder muscle tissues, revealing significant metabolic differences between degenerated and intact regions. The identified metabolic signatures can provide new insights for developing personalized treatments for chronic shoulder muscles degeneration.
JOURNAL OF CACHEXIA SARCOPENIA AND MUSCLE
(2022)
Article
Endocrinology & Metabolism
Linshu Wang, Kiran Chaudhari, Ali Winters, Yuanhong Sun, Ran Liu, Shao-Hua Yang
Summary: This study optimized a biopsy punching method to analyze the region-specific glucose metabolism in rat and mouse brains. The results showed that the cerebellum had a more quiescent phenotype of glucose metabolism compared to other brain regions and had higher AMPK activation. Additionally, the study found that rodent brains have relatively low mitochondrial oxidative phosphorylation efficiency and a significant percentage of respiration is linked to proton leak.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2022)
Article
Clinical Neurology
Rui Chang, Eugenia Trushina, Kuixi Zhu, Syed Shujaat Ali Zaidi, Branden M. Lau, Alexandra Kueider-Paisley, Sara Moein, Qianying He, Melissa L. Alamprese, Barbora Vagnerova, Andrew Tang, Ramachandran Vijayan, Yanyun Liu, Andrew J. Saykin, Roberta D. Brinton, Rima Kaddurah-Daouk
Summary: This study constructed sex- and APOE-specific metabolic networks based on changes in metabolites and identified patient-specific biomarkers predictive of disease state. The findings provide critical insights for personalized medicine for late-onset Alzheimer's disease.
ALZHEIMERS & DEMENTIA
(2023)
Article
Neurosciences
ZhanDong Li, Wei Guo, Tao Zeng, Jie Yin, KaiYan Feng, Tao Huang, Yu-Dong Cai
Summary: This study investigates the relationship between DNA methylation in different brain structures and Alzheimer's disease. The findings show that methylation alterations in different brain regions have varying contributions to the progression of the disease, shedding light on the complex pathological mechanisms of Alzheimer's disease.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Dario Tommasini, Rachel Fox, Kathie J. Ngo, Jason D. Hinman, Brent L. Fogel
Summary: Neurological diseases are characterized by dysfunction in specific neuroanatomical regions. This study found that gene expression in oligodendrocytes, a type of brain cell, is organized anatomically along the rostrocaudal axis and is preferentially regulated in a region-specific manner. Systems-level analysis revealed distinct molecular pathways in oligodendrocytes related to different brain regions. These findings highlight targetable region-specific vulnerabilities to neurological diseases mediated by oligodendrocytes.
Article
Biology
Richard Hardstone, Matthew W. Flounders, Michael Zhu, Biyu J. He
Summary: We used a bistable perception paradigm and magnetoencephalography to measure neural dynamics and found different neural activities that support perceptual content and promote perceptual stability. Non-oscillatory neural activity supports perceptual content, while the amplitude of alpha and beta oscillations affects perceptual stability. In addition, neural activity underlying perceptual stability also encodes elapsed time.
Article
Biology
Pawan K. Jha, Utham K. Valekunja, Sandipan Ray, Mathieu Nollet, Akhilesh B. Reddy
Summary: This study used single-cell RNA sequencing and cell-type-specific proteomics to investigate the molecular mechanisms of sleep. The findings suggest that different cell types in different brain regions exhibit diverse transcriptional responses to sleep need and sleep deprivation affects the expression of proteins and phosphorylation in astrocytes and neurons.
COMMUNICATIONS BIOLOGY
(2022)
Article
Microbiology
Carlos G. Gonzalez, Robert H. Mills, Qiyun Zhu, Consuelo Sauceda, Rob Knight, Parambir S. Dulai, David J. Gonzalez
Summary: By utilizing a multi-omics approach, this study identified distinct molecular profiles between colonic and ileal Crohn's disease (CD) subtypes, suggesting separate pathologies associated with the two disease locations. Colonic CD displayed similarities to ulcerative colitis, while ileal CD showed a unique profile characterized by bile acid-driven changes. These findings highlight the power of multi-omics in discovering biomarkers and understanding the underlying biology of inflammatory bowel diseases.
Article
Cell Biology
Natallia Makarava, Olga Mychko, Kara Molesworth, Jennifer Chen-Yu Chang, Rebecca J. Henry, Natalya Tsymbalyuk, Volodymyr Gerzanich, J. Marc Simard, David J. Loane, Ilia V. Baskakov
Summary: The transformation of astrocytes into reactive states is a biological response to various pathological insults. The reactive phenotypes of astrocytes are influenced by both region-specific homeostatic identity and the nature of the insult. Gene expression profiling shows that astrocyte reactivity is strongly correlated with their homeostatic functions within each brain region, and the gene expression signatures of different insults partially overlap, forming continuums.
Article
Biochemistry & Molecular Biology
Pengtao Xu, Jie Ning, Qiaoying Jiang, Chen Li, Junjie Yan, Liangcai Zhao, Hongchang Gao, Hong Zheng
Summary: Metabolic alterations in specific brain regions of T1D mice may serve as potential biomarkers for early diagnosis and monitoring of diabetic cognitive decline.
NEUROCHEMISTRY INTERNATIONAL
(2021)
Article
Biochemistry & Molecular Biology
Yixuan Guo, Shuangshuang Wei, Mengdi Yin, Dandan Cao, Yiling Li, Chengping Wen, Jia Zhou
Summary: This study used a metabolomic approach to investigate the metabolic differences between AS patients in remission and acute stages. The findings identified differential metabolites related to amino acid biosynthesis, glutathione metabolism, and fatty acid levels. The study also found a correlation between specific metabolites and inflammatory indicators. The combination of serum 2-hydroxybutanoate and hexadecanoate played a significant role in AS staging. These findings provide new perspectives for AS staging, treatment, and pathogenesis studies.
Article
Endocrinology & Metabolism
Pei Xiao, Pu Liang, Panjun Gao, Jinyi Wu
Summary: Higher appendicular skeletal muscle mass is associated with a lower risk of MAFLD, while higher trunk skeletal muscle mass is associated with an increased risk of significant fibrosis in females.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Haein Lee, Jina Park, Seyun Kim
Summary: Acute stress response leads to various physiological changes in the brain, including altered gene expression and metabolic pathways. In this study, mice exposed to a brief water avoidance stress (WAS) showed aberrant expression of 60 genes and significant changes in 43 brain metabolites. Functional analysis revealed enrichment of genes involved in superoxide metabolism, while metabolomic profiling showed upregulation of lipolysis, eicosanoid biosynthesis, and endocannabinoid synthesis pathways. These findings provide valuable insights into the molecular events underlying acute stress and its impact on neural functions.
Article
Orthopedics
Nathaniel P. Disser, Alexander N. Piacentini, Andrea J. De Micheli, Martin M. Schonk, Vincent J. H. Yao, Xiang-Hua Deng, David J. Oliver, Scott A. Rodeo
Summary: This study investigated the transcriptomic and mechanical properties of a single Achilles tendon and found region-specific gene expression signatures and mechanical properties. The proximal region displayed gene expression resembling a tendon phenotype and increased expression of nerve cell markers, while the distal region showed increased expression of genes involved in extracellular matrix synthesis and remodeling, immune cell regulation, and a phenotype similar to cartilage and bone. There was a significant increase in Young modulus from the proximal to middle region and an additional increase from the middle to distal region.
AMERICAN JOURNAL OF SPORTS MEDICINE
(2022)
Article
Computer Science, Information Systems
Luyun Wang, Jinhua Sheng, Qiao Zhang, Rougang Zhou, Zhongjin Li, Yu Xin, Qian Zhang
Summary: This study uses a classification framework that combines graph theory and machine learning techniques for fMRI to distinguish between AD, EMCI, LMCI, and HC. The results show that this framework can accurately identify these diseases to a certain extent. The combination of graph theory and machine learning can be helpful for the early diagnosis of AD.