2022
DOI: 10.1016/j.mad.2021.111597
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Metformin treatment of juvenile mice alters aging-related developmental and metabolic phenotypes

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Cited by 13 publications
(5 citation statements)
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“… 233 Nevertheless, metformin relieves many aging-related diseases in rodent models, including cognitive impairment and neurodegeneration, 229 , 234 – 237 depression, 238 chronic kidney disease, 239 thymus degeneration, 240 aging-related cataract, 228 aging-related hearing loss, 241 mitochondrial dysfunction in aged hearts, 230 adipose tissue senescence and metabolic abnormalities, 242 , 243 and aging-related developmental and metabolic phenotypes. 244 …”
Section: Epigenetic Regulation Of Agingmentioning
confidence: 99%
“… 233 Nevertheless, metformin relieves many aging-related diseases in rodent models, including cognitive impairment and neurodegeneration, 229 , 234 – 237 depression, 238 chronic kidney disease, 239 thymus degeneration, 240 aging-related cataract, 228 aging-related hearing loss, 241 mitochondrial dysfunction in aged hearts, 230 adipose tissue senescence and metabolic abnormalities, 242 , 243 and aging-related developmental and metabolic phenotypes. 244 …”
Section: Epigenetic Regulation Of Agingmentioning
confidence: 99%
“…Neither drug significantly affected the weight of female mice at 18 months (Figure S1B). The sex‐specific weight reduction effect of metformin has been previously reported 21 . Liver tissue was collected for histological study and scored for steatosis (Figure S2A) and DNA adduct frequency (Figure S2B), but this revealed only a modest (nonsignificant) increase in DNA damage in the liver cells of mutant mice.…”
Section: Resultsmentioning
confidence: 53%
“…The rationale for the dosage and approach of metformin treatment was elucidated in previous report. 15 Peripheral blood was collected from the submandibular vein plexus of the mice for following experiments. A priori power analysis using Gpower estimated that the animal sample size would be at least 52 in total, and the Gpower computation details were as followed: effect size f=0.4; alpha error=0.05; power=0.8; numerator df=1; number of groups=2.…”
Section: Methodsmentioning
confidence: 99%