ABSTRACT
BACKGROUND: Primary biliary cholangitis (PBC) is an autoimmune liver disease characterized by elevated serum antimitochondrial antibody levels in 90-95 % of cases. However, the exact causal relationship between mitochondrial proteins and PBC remains unclear. This study aims to investigate and clarify this relationship. METHODS: Genome-wide association data for mitochondrial proteins and PBC were obtained from public databases. The assessment of causal relationships between exposures and outcomes employed the Inverse Variance Weighted (IVW) method, MR Egger regression, and Weighted Median. Sensitivity analyses were systematically carried out to appraise the robustness of the Mendelian Randomization (MR) findings. RESULTS: The analysis revealed two mitochondrial proteins exhibiting a causal relationship with PBC. Elevated SIRT5 levels demonstrated a positive correlation with an augmented susceptibility to PBC in the IVW approach (odds ratio, OR: 1.2907, 95 % CI: 1.062-1.568, p = 0.0102). Conversely, increased MRPL33 levels were associated with a decreased risk of PBC (OR: 0.8957, 95 % CI: 0.807-0.993, p = 0.0376). Sensitivity analysis corroborated these findings consistently. CONCLUSION: This investigation advances the notion of a potential causal association between elevated SIRT5 levels and an increased risk of PBC, alongside a decreased risk of PBC linked to elevated MRPL33 levels. The identified mitochondrial proteins may serve as viable biomarkers, offering pertinent insights for the understanding and addressing of PBC.
ABSTRACT
BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) has garnered significant attention in the past decade as a prevalent chronic liver condition. Despite a growing body of evidence implicating mitochondria in NAFLD development, comprehensive bibliometric analyses within this research domain are scarce. This study aims to provide a thorough overview of the knowledge framework and key research areas related to mitochondria in the context of NAFLD, utilizing bibliometric techniques. METHODS: A comprehensive search of publications on mitochondria in NAFLD from 2000 to 2023 was conducted using the Web of Science Core Collection database. VOSviewers, CiteSpace, and the R package "bibliometrix" were employed for a precise assessment of the literature. RESULTS: Examining 2530 articles from 77 countries, primarily led by the United States and China, revealed a consistent increase in publications on mitochondria's role in NAFLD. Leading research institutions include the University of Coimbra, the University of Missouri, the Chinese Academy of Sciences, Fudan University, and Shanghai Jiao Tong University. Notably, the International Journal of Molecular Sciences emerged as the most popular journal, and Hepatology was the most frequently cited. With contributions from 14,543 authors, Michael Roden published the highest number of papers, and A. J. Samyal was the most frequently cocited author. Key focus areas include investigating mitochondrial mechanisms impacting NAFLD and developing therapeutic strategies targeting mitochondria. Emerging research hotspots are associated with keywords such as "inflammation," "mitochondrial dysfunction," "autophagy," "obesity," and "insulin resistance." CONCLUSION: This study, the first comprehensive bibliometric analysis, synthesizes research trends and advancements in the role of mitochondria in NAFLD. Insights derived from this analysis illuminate current frontiers and emerging areas of interest, providing a valuable reference for scholars dedicated to mitochondrial studies.
Subject(s)
Mitochondria , Non-alcoholic Fatty Liver Disease , Humans , Bibliometrics , ChinaABSTRACT
Targeted metabolomics analysis based on triple quadrupole (QQQ) MS coupled with multiple reaction monitoring mode (MRM) is the gold standard for metabolite quantification and it is widely applied in metabolomics. However, standard compounds for each metabolite and the corresponding analogs are necessary for quantitative measurements. To identify the differentially present metabolites in various groups, determining the relative concentration of metabolites would be more efficient than accurate quantification. In this study, a relatively quantitative targeted method was established for metabonomics research, on the basis of hydrophilic interaction liquid chromatography (HILIC)/QQQ MS operated in MRM mode. The quality control-base random forest signal correction algorithm (QC-RFSC algorithm) was applied for quality control instead of the internal standard method. High quality relative quantification was achieved without internal standards, and integrated peak areas were successfully used for statistical and pathway analyses. Amino acids and neurotransmitters (dopamine, kynurenic acid, urocanic acid, tryptophan, kynurenine, tyrosine, valine, threonine, serine, alanine, glycine, glutamine, citrulline, GABA, glutamate, aspartate, arginine, ornithine and histidine) in serum samples were simultaneously determined with the newly developed method. To demonstrate the applicability of this method in large-scale analyses, we analyzed the above metabolites in serum from patients with major depression. The serum levels of glutamate, aspartate, threonine, glycine and alanine were significantly higher, and those of citrulline, kynurenic acid and urocanic acid were significantly lower, in patients with major depression than in controls. This is the first report of the difference in urocanic acid, a compound reported to improve glutamate biosynthesis and release in the central nervous system, between healthy controls and patients with major depression.
