2 results match your criteria: "China. tangjg_5thhospital@163.com.[Affiliation]"
Identification of immune-related mitochondrial metabolic disorder genes in septic shock using bioinformatics and machine learning.
Hereditas
November 2024
Department of Trauma-Emergency & Critical Care Medicine Center, Shanghai Fifth People's Hospital, Fudan University, No.801 Heqing Road, Minhang District, Shanghai, 200240, China.
Article Synopsis
- Mitochondria play a key role in septic shock and inflammatory responses, prompting the need to study immune-mitochondrial genes in this condition. !* -
- The study analyzed a dataset to identify 44 mitochondrial-related genes (MitoDEGs) related to septic shock, utilizing various bioinformatics techniques and machine learning to validate four diagnostic genes: PGS1, C6orf136, THEM4, and EPHX2. !* -
- Results indicated that these MitoDEGs have significant diagnostic potential and are associated with immune cell infiltration, particularly with neutrophils being the most abundant in septic shock cases. !*
Exploration of neuron heterogeneity in human heart failure with dilated cardiomyopathy through single-cell RNA sequencing analysis.
BMC Cardiovasc Disord
February 2024
Department of Trauma-Emergency & Critical Care Medicine Center, Shanghai Fifth People's Hospital, Fudan University, No.801 Heqing Road, Minhang District, Shanghai, 200240, China.
Objective: We aimed to explore the heterogeneity of neurons in heart failure with dilated cardiomyopathy (DCM).
Methods: Single-cell RNA sequencing (scRNA-seq) data of patients with DCM and chronic heart failure and healthy samples from GSE183852 dataset were downloaded from NCBI Gene Expression Omnibus, in which neuron data were extracted for investigation. Cell clustering analysis, differential expression analysis, trajectory analysis, and cell communication analysis were performed, and highly expressed genes in neurons from patients were used to construct a protein-protein interaction (PPI) network and validated by GSE120895 dataset.