| Literature DB >> 32548128 |
Qianyi Yang1, Mete Civelek1,2.
Abstract
Metabolic syndrome (MetSyn) is a combination of metabolic abnormalities that lead to the development of cardiovascular disease (CVD) and Type 2 Diabetes (T2D). Although various criteria for defining MetSyn exist, common abnormalities include abdominal obesity, elevated serum triglyceride, insulin resistance, and blood glucose, decreased high-density lipoprotein cholesterol (HDL-C), and hypertension. MetSyn prevalence has been increasing with the rise of obesity worldwide, with significantly higher prevalence in women compared with men and in Hispanics compared with Whites. Affected individuals are at a higher risk of developing T2D (5-fold) and CVD (2-fold). Heritability estimates for individual components of MetSyn vary between 40 and 70%, suggesting a strong contribution of an individual's genetic makeup to disease pathology. The advent of next-generation sequencing technologies has enabled large-scale genome-wide association studies (GWAS) into the genetics underlying MetSyn pathogenesis. Several such studies have implicated the transcription factor KLF14, a member of the Krüpple-like factor family (KLF), in the development of metabolic diseases, including obesity, insulin resistance, and T2D. How KLF14 regulates these metabolic traits and increases the risk of developing T2D, atherosclerosis, and liver dysfunction is still unknown. There have been some debate and controversial results with regards to its expression profile and functionality in various tissues, and a systematic review of current knowledge on KLF14 is lacking. Here, we summarize the research progress made in understanding the function of KLF14 and describe common attributes of its biochemical, physiological, and pathophysiological roles. We also discuss the current challenges in understanding the role of KLF14 in metabolism and provide suggestions for future directions.Entities:
Keywords: cardiometabolic diseases; human genetics; mouse models; sexual dimorphism; transcription factor; transcriptional targets
Year: 2020 PMID: 32548128 PMCID: PMC7274157 DOI: 10.3389/fcvm.2020.00091
Source DB: PubMed Journal: Front Cardiovasc Med ISSN: 2297-055X
Sex-specific and pleiotropic effects of the genetic variants at the KLF14 locus with cardiometabolic phenotypes.
| Combined analysis | Effect size | 1.06 (1.05–1.08) | 0.0083 | 0.0062 | 0.0125 | −0.009 | −0.017 | −0.015 | 0.016 | 0.009 |
| 9.9 × 10−18 | 2.7 × 10−7 | 2.1 × 10−4 | 1.8 × 10−13 | 9.0 × 10−3 | 1.6 × 10−6 | 1.2 × 10−15 | 1.1 × 10−6 | 2.0 × 10−2 | ||
| N (case/control) | 74,116/823,997 | 806,702 | 697,613 | 694,553 | 230,394 | 211,022 | 99,900 | 96,598 | 95,454 | |
| Female only | Effect size | 1.09 (1.07–1.11) | 0.0093 | 0.02 | 0.0282 | 0.008 | −0.033 | −0.042 | 0.036 | 0.018 |
| 8.9 × 10−16 | 1.8 × 10−5 | 9.7 × 10−19 | 3.6 × 10−35 | 8.0 × 10−2 | 9.9 × 10−14 | 3.5 × 10−11 | 1.0 × 10−8 | 2.0 × 10−3 | ||
| N (case/control) | 30,049/434,331 | 434,716 | 381,115 | 379,449 | 126,971 | 117,288 | 62,816 | 59,473 | 61,803 | |
| Male Only | Effect size | 1.04 (1.02–1.06) | 0.0074 | −0.0106 | −0.0081 | 0.009 | 0.003 | −0.034 | 0.013 | 0.01 |
| 1.0 × 10−4 | 1.6 × 10−3 | 2.2 × 10−5 | 1.3 × 10−3 | 4.0 × 10−2 | 0.5 | 9.9 × 10−7 | 4.0 × 10−2 | 0.19 | ||
| N (case/control) | 41,842/383,763 | 74,693 | 16,682 | 315,238 | 03,616 | 93,919 | 7,745 | 35,288 | 36,840 |
Effect sizes are with respect to the risk allele (C) of the index SNP, rs4731702. BMI, body mass index; WHR, waist-hip ratio; WHRadjBMI, BMI-adjusted WHR; HDL, high-density lipoprotein; TG, Triglycerides; LDL: low-density lipoprotein. The direction of effect size is presented with respect to the C (risk) allele of the index SNP in the locus (rs4731702). Association statistics for T2D, anthropometric traits, and lipids are from meta-analysis of GWAS from various populations. Summary statistics for rs4731702 across all studies were aggregated using fixed-effects meta-analysis with inverse-variance weighting of log-odds ratios or effect sizes. Effect sizes for T2D are odds ratios. Effect sizes for anthropometric traits and WHRadjBMI represent rank inverse normalization of the residuals after BMI was regressed out from WHR. Effect sizes for HDL, LDL, and fasting glucose are reported in mmol/l and for fasting glucose they are reported in pmol/L. Triglyceride (TG) results are log-transformed values.
Figure 1KLF14 expression in human tissues. Expression of KLF14 in 54 tissues or cell types from several hundred male and female donors was measured using RNA sequencing as part of the Genotype-Tissue Expression project. The results show widespread expression of KLF14 in various tissues, variation in the abundance of KLF14 in each human donor, and generally higher expression level in females compared to males. Image obtained from the GTEx Portal (40).
Summary of published KLF14 mouse lines.
| Whole-body | 1,035 bp between positions 30907660-30908694 of Chromosome 6 (Genome Build37), including the entire | KOMP repository | Standard chow and 60% kcal high fat diet (switched at week 8) | Male | No difference in metabolic phenotypes; No difference was observed in whole-body | ( |
| CRISPR-Cas9 whole-body knockout | A 7-bp frameshift insertion-deletion allele was introduced to the 5' end of the | In house | 45% kcal high fat diet (switched at week 18) | Male | Decrease in HDL-C level in | ( |
| KLF14 null mouse | The loxP sites were added ~1.6 kb upstream of the | In house | Standard | Phenotypic analysis: female Gene expression analysis: male and female | Placenta is overgrown in | ( |
| In house | Standard chow | NA | 33.3% of | ( | ||
| Adipose-specific | Two LoxP sites were inserted at 3,415 bp upstream and 327 bp downstream of | In house | Standard chow | Male and female | HDL-C was reduced in female Adn | ( |
| Liver-specific | In house | Standard chow | Male | Pooled blood serum was collected and analyzed by HPLC. Total cholesterol and triglyceride levels were comparable between WT and | ( |
Figure 2The function of KLF14 in metabolic tissues. Putative KLF14 transcription targets in different metabolically active tissues/organs, as well as their potential roles, are shown. Human genetics studies show that risk allele is associated with lower KLF14 expression in adipose tissue. Schematic depicts the KLF14 risk allele.