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1.
Food Funct ; 2024 May 13.
Article in English | MEDLINE | ID: mdl-38738978

ABSTRACT

Background: Numerous studies reported inconsistent association between breakfast skipping and all-cause, cardiovascular disease (CVD) and cancer mortality. Therefore, we conducted a systematic review and meta-analysis to elucidate these associations. Methods: PubMed, Embase, and Web of Science databases were searched up to July 2023 for prospective cohort studies that assessed the association between breakfast skipping and all-cause, CVD and cancer mortality in general adults. A random effect model was used to estimate the pooled hazard ratio (HR) and 95% confidence intervals (CIs), with subgroup analysis and sensitivity analysis performed. The Newcastle-Ottawa Scale (NOS) was used to assess the study and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool was used to assess the risk of bias. Results: The final analysis included 9 cohort studies including 242 095 participants, with 6 studies for all-cause mortality, 4 studies for CVD mortality, and 2 studies for cancer mortality. Compared to regular breakfast consumption, skipping breakfast was associated with a higher risk of all-cause (HR: 1.27, 95% CI, 1.07-1.51, I2 = 77%), CVD (HR 1.28, 95% CI 1.10-1.50, I2 = 0), and cancer (HR: 1.34, 95% CI: 1.11-1.61, I2 = 0%) mortality. Sensitivity analysis revealed inconsistent results in all-cause and CVD mortality. Subgroup analysis showed significant association in studies with larger participants, longer follow-up, adjustments for energy intake, and high-quality articles. GRADE showed very low evidence for all-cause mortality and low evidence for CVD and cancer mortality. Conclusion: The findings underscore the importance of regular breakfast habits for health and longevity. However, these results require careful interpretation due to geographic limitations, potential heterogeneity, and instability.

2.
Cardiovasc Diabetol ; 23(1): 45, 2024 01 28.
Article in English | MEDLINE | ID: mdl-38282013

ABSTRACT

BACKGROUND: This study used a bidirectional 2-sample Mendelian randomization study to investigate the potential causal links between mtDNA copy number and cardiometabolic disease (obesity, hypertension, hyperlipidaemia, type 2 diabetes [T2DM], coronary artery disease [CAD], stroke, ischemic stroke, and heart failure). METHODS: Genetic associations with mtDNA copy number were obtained from a genome-wide association study (GWAS) summary statistics from the UK biobank (n = 395,718) and cardio-metabolic disease were from largest available GWAS summary statistics. Inverse variance weighting (IVW) was conducted, with weighted median, MR-Egger, and MR-PRESSO as sensitivity analyses. We repeated this in the opposite direction using instruments for cardio-metabolic disease. RESULTS: Genetically predicted mtDNA copy number was not associated with risk of obesity (P = 0.148), hypertension (P = 0.515), dyslipidemia (P = 0.684), T2DM (P = 0.631), CAD (P = 0.199), stroke (P = 0.314), ischemic stroke (P = 0.633), and heart failure (P = 0.708). Regarding the reverse directions, we only found that genetically predicted dyslipidemia was associated with decreased levels of mtDNA copy number in the IVW analysis (ß= - 0.060, 95% CI - 0.044 to - 0.076; P = 2.416e-14) and there was suggestive of evidence for a potential causal association between CAD and mtDNA copy number (ß= - 0.021, 95% CI - 0.003 to - 0.039; P = 0.025). Sensitivity and replication analyses showed the stable findings. CONCLUSIONS: Findings of this Mendelian randomization study did not support a causal effect of mtDNA copy number in the development of cardiometabolic disease, but found dyslipidemia and CAD can lead to reduced mtDNA copy number. These findings have implications for mtDNA copy number as a biomarker of dyslipidemia and CAD in clinical practice.


Subject(s)
Coronary Artery Disease , Diabetes Mellitus, Type 2 , Dyslipidemias , Heart Failure , Hypertension , Ischemic Stroke , Stroke , Humans , DNA, Mitochondrial/genetics , DNA Copy Number Variations , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/genetics , Genome-Wide Association Study , Mendelian Randomization Analysis , Hypertension/diagnosis , Hypertension/epidemiology , Hypertension/genetics , Heart Failure/diagnosis , Heart Failure/epidemiology , Heart Failure/genetics , Obesity/diagnosis , Obesity/epidemiology , Obesity/genetics , Dyslipidemias/diagnosis , Dyslipidemias/epidemiology , Dyslipidemias/genetics
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