Integrated multi-omics analysis reveals molecular changes associated with chronic lipid accumulation following contusive spinal cord injury

被引:1
|
作者
Yao, Xin-Qiang [1 ]
Chen, Jia-Ying [2 ]
Garcia-Segura, Monica Emili [3 ,4 ]
Wen, Zi-Han [1 ]
Yu, Zi-Han [1 ]
Huang, Zu-Cheng [1 ]
Hamel, Regan [4 ]
Liu, Jun-Hao [5 ]
Shen, Xing [1 ]
Huang, Zhi-Ping [1 ]
Lu, Yan-Meng [6 ]
Zhou, Zhi-Tao [6 ]
Liu, Cui-Ting [6 ]
Shi, Jun-Min [6 ]
Zhu, Qing-An [1 ]
Peruzzotti-Jametti, Luca [3 ,4 ]
Chen, Jian-Ting [1 ]
机构
[1] Southern Med Univ, Nanfang Hosp, Dept Orthopaed, Div Spine Surg, Guangzhou, Guangdong, Peoples R China
[2] Southern Med Univ, Nanfang Hosp, Comprehens Med Treatment Ward, Guangzhou, Guangdong, Peoples R China
[3] Imperial Coll London, Dept Metab Digest & Reprod, London, England
[4] Univ Cambridge, Dept Clin Neurosci, Cambridge, England
[5] South China Univ Technol, Guangzhou Peoples Hosp 1, Sch Med, Div Spine Surg,Dept Orthopaed, Guangzhou, Guangdong, Peoples R China
[6] Southern Med Univ, Cent Lab, Guangzhou, Guangdong, Peoples R China
关键词
Spinal cord injury; Multi-omics analysis; Lipid accumulation; Lipid droplets; Cholesterol metabolism; Neuroinflammation; MONOCYTES; ALIGNMENT;
D O I
10.1016/j.expneurol.2024.114909
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Functional and pathological recovery after spinal cord injury (SCI) is often incomplete due to the limited regenerative capacity of the central nervous system (CNS), which is further impaired by several mechanisms that sustain tissue damage. Among these, the chronic activation of immune cells can cause a persistent state of local CNS inflammation and damage. However, the mechanisms that sustain this persistent maladaptive immune response in SCI have not been fully clarified yet. In this study, we integrated histological analyses with proteomic, lipidomic, transcriptomic, and epitranscriptomic approaches to study the pathological and molecular alterations that develop in a mouse model of cervical spinal cord hemicontusion. We found significant pathological alterations of the lesion rim with myelin damage and axonal loss that persisted throughout the late chronic phase of SCI. This was coupled by a progressive lipid accumulation in myeloid cells, including resident microglia and infiltrating monocyte-derived macrophages. At tissue level, we found significant changes of proteins indicative of glycolytic, tricarboxylic acid cycle (TCA), and fatty acid metabolic pathways with an accumulation of triacylglycerides with C16:0 fatty acyl chains in chronic SCI. Following transcriptomic, proteomic, and epitranscriptomic studies identified an increase of cholesterol and m6A methylation in lipid-droplet-accumulating myeloid cells as a core feature of chronic SCI. By characterizing the multiple metabolic pathways altered in SCI, our work highlights a key role of lipid metabolism in the chronic response of the immune and central nervous system to damage.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Spatiotemporal microvascular changes following contusive spinal cord injury
    Smith, Nicole J.
    Doody, Natalie E.
    Stepankova, Katerina
    Fuller, Martin
    Ichiyama, Ronaldo M.
    Kwok, Jessica C. F.
    Egginton, Stuart
    FRONTIERS IN NEUROANATOMY, 2023, 17
  • [2] Multi-omics in Spinal Cord Injury: Diagnosis, Prognosis, and Treatment
    Xu, Hanxun
    Zhao, Wenhai
    Zhou, Yimin
    Zhang, Li
    CELLULAR AND MOLECULAR BIOLOGY, 2022, 68 (11) : 58 - 70
  • [3] Spatial multi-omics analysis of the microenvironment in traumatic spinal cord injury: a narrative review
    Peng, Run
    Zhang, Liang
    Xie, Yongqi
    Guo, Shuang
    Cao, Xinqi
    Yang, Mingliang
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [4] Multi-OMICs analysis reveals metabolic and epigenetic changes associated with macrophage polarization
    Sowers, Mark L.
    Tang, Hui
    Singh, Vipul K.
    Khan, Arshad
    Mishra, Abhishek
    Restrepo, Blanca I.
    Jagannath, Chinnaswamy
    Zhang, Kangling
    JOURNAL OF BIOLOGICAL CHEMISTRY, 2022, 298 (10)
  • [5] Integrated multi-omics analysis reveals the underlying molecular mechanism for the neurotoxicity of triclosan in zebrafish
    Zhao, Shasha
    Ling, Yuhang
    Zhang, Baohua
    Wang, Danting
    Sun, Limei
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2025, 290
  • [6] Integrated multi-omics analysis reveals the molecular interplay between circadian clocks and cancer pathogenesis
    Andy Pérez-Villa
    Gabriela Echeverría-Garcés
    María José Ramos-Medina
    Lavanya Prathap
    Mayra Martínez-López
    David Ramírez-Sánchez
    Jennyfer M. García-Cárdenas
    Isaac Armendáriz-Castillo
    Santiago Guerrero
    Clara Paz
    Andrés López-Cortés
    Scientific Reports, 13
  • [7] Multi-Omics Analysis Reveals MicroRNAs Associated With Cardiometabolic Traits
    Mens, Michelle M. J.
    Maas, Silvana C. E.
    Klap, Jaco
    Weverling, Gerrit Jan
    Klatser, Paul
    Brakenhoff, Just P. J.
    van Meurs, Joyce B. J.
    Uitterlinden, Andre G.
    Ikram, M. Arfan
    Kavousi, Maryam
    Ghanbari, Mohsen
    FRONTIERS IN GENETICS, 2020, 11
  • [8] Integrated multi-omics analysis reveals the molecular interplay between circadian clocks and cancer pathogenesis
    Perez-Villa, Andy
    Echeverria-Garces, Gabriela
    Ramos-Medina, Maria Jose
    Prathap, Lavanya
    Martinez-Lopez, Mayra
    Ramirez-Sanchez, David
    Garcia-Cardenas, Jennyfer M.
    Armendariz-Castillo, Isaac
    Guerrero, Santiago
    Paz, Clara
    Lopez-Cortes, Andres
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [9] An integrated multi-omics analysis reveals osteokines involved in global regulation
    Liang, Wenquan
    Wei, Tiantian
    Hu, Le
    Chen, Meijun
    Tong, Liping
    Zhou, Wu
    Duan, Xingwei
    Zhao, Xiaoyang
    Zhou, Weijie
    Jiang, Qing
    Xiao, Guozhi
    Zou, Weiguo
    Chen, Di
    Zou, Zhipeng
    Bai, Xiaochun
    CELL METABOLISM, 2024, 36 (05) : 1144 - 1163.e7
  • [10] Multi-omics analysis reveals the molecular basis of flavonoid accumulation in fructus of Gardenia (Gardenia jasminoides Ellis)
    Chen, Jianrong
    Tang, Weizhuo
    Li, Chunyan
    Kuang, Ding
    Xu, Xiaojiang
    Gong, Yuan
    Liu, Fang
    Gao, Song
    BMC GENOMICS, 2023, 24 (01)