Effect of Saengmaeksan on Fatigue, Liver Function, and Immunity Combined with High-Intensity Training.

Saengmaeksan (SMS) is a traditional drink that consists of three natural herbs, Lirio platyphlla, Panax ginseng, and Schisandra chinensis, and improves fatigue, liver function, and immunity. Moderate-intensity exercise has a positive effect on fatigue, liver function, and immune function, whereas long-term high-intensity training has a negative effect on these aspects. We hypothesized that SMS intake will improve fatigue (ammonia, lactic acid), liver function (aspartate transaminidase (AST) and alanine aminotransferase (ALT)), and immunity (IgA, IgG, IgM) with high-intensity training. To investigate this hypothesis, 17 male college tennis players were randomly assigned to SMS and placebo groups with high-intensity training. SMS and placebo were consumed in 110 mL doses for a total of 770 mL. High-intensity training was performed at 70%-90% of heart rate reserve, conducted five times weekly for 4 weeks. A significant interaction effect was observed between the SMS and control (CON) groups regarding ammonia, ALT, and IgA levels. Ammonia levels significantly decreased in the SMS group, but there was no difference in the lactic acid levels. AST significantly decreased in the SMS group. IgA significantly increased in the SMS group, IgM significantly decreased in both groups, but there was no change in IgG. The correlation analysis revealed positive correlation in ΔAST vs. ΔALT, ΔALT vs. ΔIgG, and ΔIgA vs. ΔIgG in the SMS group. These findings demonstrate that SMS intake can reduce ammonia, AST, ALT, and IgM levels, while causing an increase in IgA, which has a positive effect on fatigue reduction, liver function, and immunoglobulins in a high-intensity training or related environment.

Body composition affects blood lipids and vascular function in metabolically unhealthy or metabolically healthy older adult women with obesity: A multi-group path analysis/impact verification following latent profile analysis.

OBJECTIVES: This study aimed to perform latent profile analysis (LPA) in older adult women with metabolic syndrome to extract a group according to their characteristics while controlling for body composition, blood lipid levels, and vascular function. The study also examined the relationship between different variables. METHODS: The participants were 35 women aged ≥65 years, who met the Korean female standards for metabolic syndrome. Blood collection, blood pressure measurements, and vascular function measurements were performed. LPA and multigroup path analysis (MGPA) were performed to statistically analyze the effects of body composition on blood lipid levels and vascular function in older adult women with metabolic syndrome. Mplus 8.3 and jamovi 2.0.0 were used for the analyses, and the control significance level was set at .05. RESULTS: The participants were divided into the following three groups: (G1) metabolically unhealthy participants with normal weight, (G2) normal-weight participants with arteriosclerosis, and (G3) obese but metabolically healthy participants (G3). The effect of body composition on blood lipid levels showed a significant difference only in G1. The effect of body composition on vascular function was influenced by various variables in G1 and G3, while G1 showed a higher explanatory power. CONCLUSIONS: The MGPA results showed that the relationship between variables differs depending on the group. Therefore, the metabolic syndrome should be studied by subdividing it and confirming the characteristics of the classified groups, such as normal-weight but metabolically unhealthy individuals and obese but metabolically healthy individuals.