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The association between fatigue and cardiometabolic diseases: Insights from the UK biobank study
Keyu Bian1, Pan Zhang2, Gelin Xu3
1Department of Neurology, Wujin TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Changzhou, Jiangsu, China; Department of Neurology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China.
Insights
Fatigue is linked to increased cardiometabolic disease risk. This bidirectional relationship highlights the importance of fatigue in heart health and metabolic conditions.
Area of Science:
- Cardiovascular research
- Metabolic disease research
- Genetics and epidemiology
Background:
- Cardiometabolic diseases (CMD) pose significant global health risks.
- Fatigue is a common symptom linked to CMD, but its relationship is unclear.
- Investigating fatigue's role in CMD is crucial for public health.
Purpose of the Study:
- To investigate the relationship between fatigue and cardiometabolic diseases (CMD).
- To explore if fatigue is a risk factor for or consequence of CMD.
- To utilize observational and genetic methods to clarify this association.
Main Methods:
- Observational study using UK Biobank data.
- Bidirectional Mendelian randomization (MR) approach to assess causality.
- Genome-wide association studies (GWAS) and various MR sensitivity analyses were performed.
Main Results:
- Observational data showed fatigue significantly increased risk for stroke, T2D, CAD, and HF.
- MR analyses confirmed a causal link between fatigue and CMD.
- Type 2 diabetes (T2D) was associated with increased fatigue levels; lipid metabolites mediated this relationship.
Conclusions:
- A bidirectional relationship exists between fatigue and CMD.
- Fatigue is an important factor to consider in cardiometabolic health.
- Further research into fatigue as a clinical marker for CMD is warranted.
Background:
Cardiometabolic diseases (CMD) are major global health concerns with significant morbidity and mortality. Fatigue, a common but often overlooked symptom, has been postulated as both a potential risk factor for and a consequence of these conditions. However, the relationships between fatigue and CMD remain unclear. This study aimed to investigate the relationship between fatigue and CMD using observational and genetic approaches.
Method:
Observational study was conducted in the UK biobank. Genetic method was employed a bidirectional MR approach to examine the causal relationship between fatigue and CMD. Genetic variants associated with fatigue were identified through a GWAS, and summary statistics from the largest available GWAS were used to obtain variants associated with stroke, CAD, T2D, and HF. Inverse variance weighting (IVW) was conducted, with weighted median, MR-Egger, and MR-PRESSO as sensitivity analyses. Multivariable MR and mediation analysis were also employed.
Results:
Observational analyses indicated that individuals with fatigue had a significantly increased risk of developing stroke (HR 1.44, 95 % CI 1.27-1.63), T2D (HR 1.46, 95 % CI 1.41-1.51), CAD (HR 1.45, 95 % CI 1.4-1.5), and HF (HR 1.60, 95 % CI 1.52-1.68). Mendelian randomization analyses further supported a causal relationship. Additionally, observational and genetic analyses showed T2D was found to be associated with increased levels of fatigue. Mediation analysis identified lipid metabolites as mediators in the relationship between fatigue and CMD.
Conclusion:
This study highlights a bidirectional relationship between fatigue and CMD, underscoring the importance of considering fatigue in the context of cardiometabolic health.
Clinical Trial Number:
Not applicable.
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