2021
DOI: 10.1080/19490976.2021.1993513
|View full text |Cite
|
Sign up to set email alerts
|

Effects of fecal microbiota transplant on DNA methylation in subjects with metabolic syndrome

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
24
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 33 publications
(24 citation statements)
references
References 62 publications
0
24
0
Order By: Relevance
“…Next, we investigated whether DNA methylation could be of use for distinguishing patients with PSC-UC from patients with UC without PSC. To this end, we performed a classification analysis using repeated cross-validation with gradient boosting, where we sought to capitalize on potential non-linear relationships between the CpG loci of interest and the presence of PSC-UC ( 34 ). Altogether, the classification analysis yielded a predictive model with an area under the receiver-operator characteristic curve (AUROC) of 0.80.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Next, we investigated whether DNA methylation could be of use for distinguishing patients with PSC-UC from patients with UC without PSC. To this end, we performed a classification analysis using repeated cross-validation with gradient boosting, where we sought to capitalize on potential non-linear relationships between the CpG loci of interest and the presence of PSC-UC ( 34 ). Altogether, the classification analysis yielded a predictive model with an area under the receiver-operator characteristic curve (AUROC) of 0.80.…”
Section: Resultsmentioning
confidence: 99%
“…Gradient boosting analysis was used to classify patients with PSC-UC from patients with UC. To identify the CpGs that contributed the most to the predictive performance, covered information disentanglement (CID) was implemented ( 31 34 ). In short, data was split up in a train (2/3) and test (1/3) set, whereupon the classifier was trained through repeated cross-validation on the training set.…”
Section: Methodsmentioning
confidence: 99%
“…Mounting evidence has shown a strong association between gut microbiota and hepatic metabolic disorders, including obesity, diabetes, and NAFLD [ 3 , 4 , 30 , 31 ]. Therefore, strategies to alter the gut microbiome have been used for the treatment of metabolic disorders in clinical studies [ 32 , 33 , 34 ]. It is vital to understand the mechanism of gut microbiota in regulating host hepatic metabolism, especially lipid metabolism.…”
Section: Discussionmentioning
confidence: 99%
“…Numerous investigations have evaluated the hypothesis of changing the gut microbio ta as a promising treatment for metabolic diseases like obesity and other metabolic syndromes ( 13 ). Recently, the efficacy of FMT has been observed in changing not only the gut microbiome composition but also the host metabolome and epigenome of immune cells ( 14 ). Several case reports and animal models have also revealed the probable therapeutic effects of FMT in patients with severe multiple sclerosis ( 15 ), autism ( 16 ), multidrug-resistant (MDR) infections ( 17 ), and multiple organ dysfunction in critical patients ( 18 ).…”
Section: Fmt For Extraintestinal Disordersmentioning
confidence: 99%