2022
DOI: 10.1016/j.jnutbio.2022.109132
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Gallic acid ameliorates atherosclerosis and vascular senescence and remodels the microbiome in a sex-dependent manner in ApoE−/− mice

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Cited by 29 publications
(28 citation statements)
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“…The gut microbiome will be measured as per our previously described methods (4,12,(23)(24)(25)(26)(27). Briefly, genomic DNA from 200 mg of the fecal specimen was extracted using the QIAmp PowerFecal Pro DNA Kit (Qiagen) according to the manufacturer's instructions.…”
Section: Gut Microbiome Analysismentioning
confidence: 99%
“…The gut microbiome will be measured as per our previously described methods (4,12,(23)(24)(25)(26)(27). Briefly, genomic DNA from 200 mg of the fecal specimen was extracted using the QIAmp PowerFecal Pro DNA Kit (Qiagen) according to the manufacturer's instructions.…”
Section: Gut Microbiome Analysismentioning
confidence: 99%
“…HFHCD is associated with hypercholesterolemia characterized by high LDL-C, low HDL-C, and high TG . On this basis, we measured their serum lipid levels in mice.…”
Section: Resultsmentioning
confidence: 99%
“…HFHCD is associated with hypercholester- olemia characterized by high LDL-C, low HDL-C, and high TG. 28 On this basis, we measured their serum lipid levels in mice. As shown in Figure 2A,B, compared with the Mod group, the serum TC and TG levels in the Con group were significantly decreased (p < 0.01), demonstrating that the HFHCD could induce both hyperlipidemia and hypercholesterolemia in mice.…”
Section: Effects Of Torularhodin On Body Weight Foodmentioning
confidence: 99%
“…16S MicroBiome Profiling of the 16S rRNA V3-V4 hypervariable region of cecal samples was performed using Illumina MiSeq platform to compare the microbiota diversity and composition across the cecal DNA samples of six groups (control, Stress-control, Beta-glucan, EPS25, EPS50, D-galactose). The obtained sequences (.fastq files) were processed with the QIIME2 (version 2.2021.2; (accessed on 12 October 2021)) bioinformatics pipeline [ 27 ], in a miniconda environment as per our previously described methods [ 28 , 29 , 30 , 31 ], followed by quality-filtering, adapter-trimming, denoising, and removal of non-chimeric amplicons by using the dada2 pipeline [ 32 , 33 ] using default parameters, as per our previous reports [ 29 , 30 ]. To avoid the bias if any of the sequencing depth, alpha-rarefaction was executed at the lowest sequencing depth.…”
Section: Methodsmentioning
confidence: 99%
“…To avoid the bias if any of the sequencing depth, alpha-rarefaction was executed at the lowest sequencing depth. Amplicon sequence variants (ASVs) were assigned bacterial taxonomic nomenclature by using the Naive Bayes classifier natively installed in dada2 workflow and pre-trained with SILVA reference database (version 138.1; (accessed on 12 October 2021)) with 99% sequence identity threshold [ 33 ], as described earlier [ 29 , 30 ]. The obtained sequence reads were filtered to exclude features annotated as ‘mitochondria’ and ‘chloroplast’.…”
Section: Methodsmentioning
confidence: 99%