2021
DOI: 10.1016/j.kint.2021.06.041
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A Mendelian randomization study found causal linkage between telomere attrition and chronic kidney disease

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citations
Cited by 52 publications
(59 citation statements)
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References 40 publications
(54 reference statements)
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“…In humans, telomeres in the renal cortex shorten in an age-dependent manner [53,54], and telomere attrition has been described as a causal factor for CKD [42]. In contrast, we found no evidence of telomere shortening in the kidneys of senior cats without CKD, despite evaluating a large number of samples here and elsewhere [14].…”
Section: Discussioncontrasting
confidence: 76%
See 1 more Smart Citation
“…In humans, telomeres in the renal cortex shorten in an age-dependent manner [53,54], and telomere attrition has been described as a causal factor for CKD [42]. In contrast, we found no evidence of telomere shortening in the kidneys of senior cats without CKD, despite evaluating a large number of samples here and elsewhere [14].…”
Section: Discussioncontrasting
confidence: 76%
“…Specifically in cats, normal tubules contain large amounts of lipid, and when damage occurs, lipid is released into the interstitium, thus becoming a nidus for inflammation [3]. When considered together with similar observations in human CKD patients [38][39][40][41][42], it is not surprising that telomeres are shortened in cats with CKD, a scenario that would eventually result in critically short telomeres and the triggering of replicative senescence [36,37,[43][44][45].…”
Section: Discussionmentioning
confidence: 94%
“…The standard inverse variance-weighted (IVW) method was applied to primarily analyze the causal relationships between obesity (BMI, waist, and hip circumference) and POAG ( Brumpton et al, 2020 ; Park et al, 2021 ). This method calculated the Wald ratio of each SNP to assess the causal effects of each SNP on outcome, and finally, the inverse variances of SNPs were used as weights for meta-analysis to evaluate the combined causal effect.…”
Section: Methodsmentioning
confidence: 99%
“…As there are strengths and weaknesses in each MR method, a replication analysis including multiple methods and datasets is desirable, 13 and the UK Biobank dataset, for individual-level MR, and the CKDGen data, for summary-level MR, are widely used for MR analysis towards kidney function traits. 11,[14][15][16] The strengths of investigating the individual-level data are that direct adjustment of clinical covariates is available and a subgroup analysis is possible. The advantage of analysing the summary-level data is the transparency as the results can be easily replicated from publicly available summarylevel data.…”
Section: Study Settingmentioning
confidence: 99%