Effects of NS Series Composite Lactobacillus Prepa-ration on Performance,Plasma Biochemical Indexes and Immunity of Sows

[Objective] The study was aimed to investigate the effects of NS series composite lactobacillus preparation on production performance and some immune indexes of sows. [Method] The sows were fed on the diets supplemented with the NS series composite lactobacillus prepara- tion, and the changes of production performance, plasma biochemical indexes, levels of IgG, IgA and IgM in serum and colostrum, and T lympho- cyte subpopulations were detected. [ Result] When the NS series composite lactobacillus preparation was supplemented to the sow diet at a propor- tion of 0.2%, the average weaning litter weight at 21 days old was significantly increased. The serum contents of total protein and glucose as well as the serum activities of aspartate aminotransferase （AST）, alkaline phosphatase （ALP） and superoxide dismutase （SOD） were significantly in- creased after 30 d post delivery. Moreover, the levels of IgG, IgA and IgM in serum and colostrum of sows were significantly increased at the time of delivery and after 30 d post delivery. The antibodies in colostrum could be maintained at high levels. The percentage of CD3 ＊ and CD4~ ｜ympho- cyte subpopulations was also increased after supplementation with the NS series composite lactobacillus preparation at a proportion of 0.2%. [ （Con- des＇ion] The NS series composite lactobacillus preparation can improve performance, promote growth and metabolism, and enhance humoral and cellular immunity in sows.

Atherogenic index of plasma combined with waist circumference and body mass index to predict metabolic-associated fatty liver disease

BACKGROUND Early identification of metabolic-associated fatty liver disease(MAFLD)is urgent.Atherogenic index of plasma(AIP)is a reference predictor of obesity-related diseases,but its predictive value for MAFLD remains unclear.No studies have reported whether its combination with waist circumference(WC)and body mass index(BMI)can improve the predictive performance for MAFLD.AIM To systematically explore the relationship between AIP and MAFLD and evaluate its predictive value for MAFLD and to pioneer a novel noninvasive predictive model combining AIP,WC,and BMI while validating its predictive performance for MAFLD.METHODS This cross-sectional study consecutively enrolled 864 participants.Multivariate logistic regression analysis and receiver operating characteristic curve were used to evaluate the relationship between AIP and MAFLD and its predictive power for MAFLD.The novel prediction model A-W-B combining AIP,WC,and BMI to predict MAFLD was established,and internal verification was completed by magnetic resonance imaging diagnosis.RESULTS Subjects with higher AIP exhibited a significantly increased risk of MAFLD,with an odds ratio of 12.420(6.008-25.675)for AIP after adjusting for various confounding factors.The area under receiver operating characteristic curve of the A-W-B model was 0.833(0.807-0.858),which was significantly higher than that of AIP,WC,and BMI(all P<0.05).Subgroup analysis illustrated that the A-W-B model had significantly higher area under receiver operating characteristic curves in female,young and nonobese subgroups(all P<0.05).The best cutoff values for the A-W-B model to predict MAFLD in males and females were 0.5932 and 0.4105,respectively.Additionally,in the validation set,the area under receiver operating characteristic curve of the A-W-B model to predict MAFLD was 0.862(0.791-0.916).The A-W-B level was strongly and positively associated with the liver proton density fat fraction(r=0.630,P<0.001)and significantly increased with the severity of MAFLD(P<0.05).CONCLUSION AIP was strongly and positively associated with the risk of MAFLD and can be a reference predictor for MAFLD.The novel prediction model A-W-B combining AIP,WC,and BMI can significantly improve the predictive ability of MAFLD and provide better services for clinical prediction and screening of MAFLD.