Shared Genetics between Depression and Cardiometabolic Disorders
Bibliographic record
Abstract
Introduction Several studies have discovered associations between depression and cardiovascular disease risk factors and patients with Coronary Artery Disease with comorbid Depression have worse prognosis. There is growing evidence of polygenic overlap between depression, Coronary Artery Disease and other Cardiovascular risk factors and may suggest molecular mechanisms underlying the association between depression and raised cardiovascular disease risk. Objectives Depression and cardiometabolic disorders are both heritable and both are caused by a mix of genetic and environmental factors. Genetic factors contribute to 31–42 % in MDD (Sullivan et al. 2000 ), 30–60 % in coronary artery diseases (Marenberg et al. 1994 ), 26–69 % in type 2 diabetes (Almgren et al. 2011 ; Poulsen et al. 1999 ), 24–37 % in blood pressure (hypertension) (Van Rijn et al. 2007 ), 35–48 % in heart rate variability (Kupper et al. 2004 ), 40–70 % in obesity (body mass index) (Willyard 2014 ), and 58–66 % in the level of serum lipids (Knoblauch et al. 1997 ). Moreover, there are fairly high genetic co-heritabilities (genetic correlations) between depression and the different cardiometabolic disorders suggesting the influence of pleiotropic genes and shared biological pathways within them. Methods Literature search was conducted and appropriate material was then extracted to examine the hypothesis. Results Identification of shared molecular pathways supports a growing evidence base for cross-diagnostic treatment. Besides, further exploration of overlapping molecular pathophysiology can unveil novel targets for drug development and repurposing of existing medications. Also, cardiometabolic disorders can increase the risk of poor response to standard treatments in mood disorders. Lastly, studying shared pathways of depression and somatic disorders can untangle the clinical and genetic heterogeneity that underlies in these illnesses. Conclusions Genetic studies have suggested the involvement of pleiotropic genes in the comorbidity between depression and cardiometabolic disorders. While our abstract attempts to provide some insight into the common mechanisms and role of pleiotropic genes, in-depth understanding of how these genes mediate the association between depression and cardiometabolic diseases requires future larger scale comprehensive cross-disorder research. This will enable us to better understand why patients suffer from multiple diseases at a time and how multi-morbidities influence pharmacological treatment response to diseases. Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".