Glycerine as a feed supplement for beef and dairy cattle: A meta‐analysis on performance, rumen fermentation, blood metabolites and product characteristics

2020 ◽  
Author(s):  
Theo M. Syahniar ◽  
Mira Andriani ◽  
Muhammad Ridla ◽  
Erika B. Laconi ◽  
Nahrowi Nahrowi ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Meta Analysis ◽  
Rumen Fermentation ◽  
Blood Metabolites ◽  
Feed Supplement ◽  
Product Characteristics

Overview of Meta-Analysis of Monensin in Dairy Cattle

2012 ◽  
Vol 28 (1) ◽  
pp. 107-119 ◽  
Author(s):  
Todd F. Duffield ◽  
Ahmad Rabiee ◽  
Ian J. Lean
Keyword(s):  
Dairy Cattle ◽  
Meta Analysis

Use of Onion Extract as a Dairy Cattle Feed Supplement: Monitoring Propyl Propane Thiosulfonate as a Marker of Its Effect on Milk Attributes

2017 ◽  
Vol 65 (4) ◽  
pp. 793-799 ◽  
Author(s):  
Paloma Abad ◽  
Natalia Arroyo-Manzanares ◽  
Lidia Gil ◽  
Ana M. García-Campaña
Keyword(s):  
Dairy Cattle ◽  
Feed Supplement ◽  
Cattle Feed ◽  
Onion Extract

scholarly journals Using a Two-Sample Mendelian Randomization Method in Assessing the Causal Relationships Between Human Blood Metabolites and Heart Failure

2021 ◽  
Vol 8 ◽  
Author(s):  
Zixian Wang ◽  
Shiyu Chen ◽  
Qian Zhu ◽  
Yonglin Wu ◽  
Guifeng Xu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Human Blood ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Causal Effect ◽  
Meta Analysis ◽  
Sensitivity Analyses ◽  
Blood Metabolites ◽  
Causal Relationships

Background: Heart failure (HF) is the main cause of morbidity and mortality worldwide, and metabolic dysfunction is an important factor related to HF pathogenesis and development. However, the causal effect of blood metabolites on HF remains unclear.Objectives: Our chief aim is to investigate the causal relationships between human blood metabolites and HF risk.Methods: We used an unbiased two-sample Mendelian randomization (MR) approach to assess the causal relationships between 486 human blood metabolites and HF risk. Exposure information was obtained from Sample 1, which is the largest metabolome-based genome-wide association study (mGWAS) data containing 7,824 Europeans. Outcome information was obtained from Sample 2, which is based on the results of a large-scale GWAS meta-analysis of HF and contains 47,309 cases and 930,014 controls of Europeans. The inverse variance weighted (IVW) model was used as the primary two-sample MR analysis method and followed the sensitivity analyses, including heterogeneity test, horizontal pleiotropy test, and leave-one-out analysis.Results: We observed that 11 known metabolites were potentially related to the risk of HF after using the IVW method (P < 0.05). After adding another four MR models and performing sensitivity analyses, we found a 1-SD increase in the xenobiotics 4-vinylphenol sulfate was associated with ~22% higher risk of HF (OR [95%CI], 1.22 [1.07–1.38]).Conclusions: We revealed that the 4-vinylphenol sulfate may nominally increase the risk of HF by 22% after using a two-sample MR approach. Our findings may provide novel insights into the pathogenesis underlying HF and novel strategies for HF prevention.

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