Publications by authors named "Yuna Miyajima"
Article Synopsis
- - Hyperuricemia (HUA), characterized by high uric acid levels, is linked to conditions like gout, hypertension, and chronic kidney disease, and is influenced by gut microbiota (GM).
- - A study involving 478 participants used advanced sequencing and machine learning to analyze gut microbiomes, revealing that those with HUA had lower microbial diversity, especially notable in the genera Collinsella and Faecalibacterium.
- - The findings suggest that a higher abundance of the gut bacteria Collinsella correlates with increased blood uric acid levels, indicating a potential predictive relationship between specific gut microbes and HUA.
Article Synopsis
- Immunoglobulin G4 (IgG4) is a crucial protein in the immune system, with elevated levels linked to various IgG4-related diseases that cause inflammation in organs, predominantly affecting males.
- The study analyzed the relationship between gut microbiota and serum IgG4 levels in a population of 191 men and 207 women aged 40 and older, utilizing advanced genetic sequencing methods.
- Results indicated that different gut microbiota patterns significantly influence IgG4 levels differently for men and women, highlighting the need for a gender-specific approach in understanding these levels and their implications for health.
Article Synopsis
- - The RAAS is a key endocrine system mechanism linked to diseases like hypertension and kidney and heart issues, while the gut microbiota (GM) has been connected to various diseases mainly in animal studies.
- - A study involving 377 individuals aged 40 and older in Shika-machi, Japan, investigated the relationship between RAAS and GM, using methods like plasma renin activity analysis and 16S rRNA sequencing.
- - Findings indicated specific bacteria, such as Blautia and Bacteroides, are associated with RAAS parameters, and there is a causal link between Blautia and plasma aldosterone concentration, suggesting that targeting the gut microbiota may offer new strategies for preventing and treating hypertension and kidney diseases. *
Dyslipidemia (DL) is one of the most common lifestyle-related diseases. There are few reports showing the causal relationship between gut microbiota (GM) and DL. In the present study, we used a linear non-Gaussian acyclic model (LiNGAM) to evaluate the causal relationship between GM and DL.
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