Comorbid depression in medical diseases

Gold, Stefan M.; Köhler‐Forsberg, Ole; Moss‐Morris, Rona; Mehnert, Anja; Miranda, J. Jaime; Bullinger, Monika; Steptoe, Andrew; Whooley, Mary A.; Otte, Christian

doi:10.1038/s41572-020-0200-2

Cited by 320 publications

(226 citation statements)

References 268 publications

Supporting

Mentioning

215

Contrasting

Unclassified

Order By: Relevance

“…The weak genetic contribution suggests that another mechanism may be driving or contributing to the bi-directional relationship between autoimmune diseases and depression 44 . Inflammatory factors underlying some cases of depression could provide a common biological pathogenesis with autoimmune diseases.…”

Section: Discussionmentioning

confidence: 99%

Investigating pleiotropy between depression and autoimmune diseases using the UK Biobank

Glanville

Coleman

O’Reilly

et al. 2020

Preprint

View full text Add to dashboard Cite

BackgroundEpidemiological studies have shown increased comorbidity between depression and autoimmune diseases. The mechanisms driving the comorbidity are poorly understood, and a highly powered investigation is needed to understand the relative importance of shared genetic influences. We investigated the evidence for pleiotropy from shared genetic risk alleles between these traits in the UK Biobank (UKB).MethodsWe defined autoimmune and depression cases using information from hospital episode statistics, self-reported conditions and medications, and mental health questionnaires. Pairwise comparisons of depression prevalence between autoimmune cases and controls, and vice-versa, were performed. Cross-trait polygenic risk score (PRS) analyses were performed to test for pleiotropy, i.e. testing whether PRS for depression could predict autoimmune disease status, and vice-versa.ResultsWe identified 28k cases of autoimmune diseases (pooling across 14 traits), and 65k cases of depression. The prevalence of depression was significantly higher in autoimmune cases compared to controls, and vice-versa. PRS for myasthenia gravis and psoriasis were significantly associated with depression case-status (p < 5.2×10−5, R2 <= 0.04%). PRS for depression were significantly associated with case-status for coeliac disease, inflammatory bowel disease, psoriasis, psoriatic arthritis, rheumatoid arthritis and type 1 diabetes (p < 5.8×10−5, R2 range 0.06% to 0.27%).ConclusionsConsistent with the literature, depression was more common in individuals with autoimmune diseases compared to controls, and vice-versa, in the UKB. PRS showed some evidence for involvement of shared genetic factors, but the modest R2 values suggest that shared genetic architecture accounts for only a small proportion of the increased risk across traits.

show abstract

Section: Discussionmentioning

confidence: 99%

Investigating pleiotropy between depression and autoimmune diseases using the UK Biobank

Glanville

Coleman

O’Reilly

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Multiple chronic conditions play a significant role in the treatment administration of T2DM patients, which includes determining the correct diabetes course of treatment. Previous studies have reported that the presence of multiple comorbidities affects the quality of life associated with a patient's health and can lead to secondary complications 27,29 . Our data suggest that 80% of diabetic patients had at least one comorbidity, whereas 59 % had more than two or more comorbidities.…”

Section: Discussionmentioning

confidence: 99%

The multifactorial burden of Type 2 Diabetes mellitus: a study from clinical settings of University Hospital, Karachi, Pakistan

Zaheer¹,

Zeb²,

Baloch³

et al. 2020

Int. j. endorsing health sci. res.

View full text Add to dashboard Cite

Background: Diabetes is a multifactorial disease posing a socioeconomic threat to the worldwide community. The prevalence of Type 2 Diabetes Mellitus (T2DM) is continuously increasing in Pakistan and becoming a serious concern for the general public as well as concerned clinicians. This case-control study aimed to analyze the modifiable and non-modifiable risk factors associated with T2DM in the Pakistani population. Methodology: A structured questionnaire was filled by the T2DM patients attending the diabetic clinic at Dow University Hospital. Non-diabetic subjects were recruited from the general population. Participants were questioned regarding their age, body mass index (BMI), educational status, diabetes management practices and comorbidities associated with T2DM. Results: Our results suggest that BMI, gender, increasing age, educational status are significantly associated with T2DM. Our data also suggested that approximately 80% of T2DM patients had at least one comorbidity, whereas 59 % had two or more comorbidities. The most prevalent comorbidities found in our study group were in the order of Chronic Kidney disease (CKD) (15.8 %), Generalized Anxiety Disorder (GAD) (14.4 %), Bone disease (14 %) and Cardiovascular Disease (CVD) (12.6 %) respectively. Conclusion: Compared to worldwide data, our results are in accordance with the global prevalence with respect to age, gender and BMI, with CKD being the most prevalent comorbidity in contrast to CVD found worldwide.

show abstract

“…Major depressive disorder (MDD) is a common psychiatric disorder with a life‐time prevalence of approximately 20% 1 . MDD is associated with increased mortality, 2,3 and causes substantial burden of disease 4,5 . Importantly, MDD is frequently associated with medical comorbidities, 3,6 including metabolic disorders such as type 2 diabetes and metabolic syndrome 7,8 .…”

Section: Introductionmentioning

confidence: 99%

“…MDD is associated with increased mortality, 2,3 and causes substantial burden of disease 4,5 . Importantly, MDD is frequently associated with medical comorbidities, 3,6 including metabolic disorders such as type 2 diabetes and metabolic syndrome 7,8 . In particular, a strong bidirectional epidemiological link has been established between obesity and MDD, with both conditions increasing the risk of developing the other by approximately 50% 9 .…”

Section: Introductionmentioning

confidence: 99%

Immunological substrates of depressive symptoms in patients with severe obesity: An exploratory study

Stiglbauer

Gamradt

Scherzer

et al. 2021

Cell Biochemistry & Function

Self Cite

View full text Add to dashboard Cite

In this pilot study, we explored the immune phenotype of patients with severe obesity and comorbid depressive symptoms compared to non‐depressed patients with obesity and normal‐weight controls. Immune cell subsets were analysed by flow cytometry and depressive symptoms assessed using the Patient Health Questionnaire (PHQ‐9). Cell frequencies were correlated with depressive symptom scores and waist‐to‐hip ratio (WHR). Patients with obesity and comorbid depression showed significantly lower numbers of circulating cytotoxic natural killer cells, dendritic cells and CD8+ effector memory T cells, compared to normal‐weight controls. Regulatory T cells and CD4+ central memory T cells were increased compared to non‐depressed patients with obesity and compared to normal‐weight controls, respectively. Frequencies of cytotoxic natural killer cells and CD4+ central memory T cells significantly correlated with PHQ‐9 scores, but not with WHR. Reduced numbers of dendritic cells were observed in both patient groups with obesity and correlated with PHQ‐9 scores and WHR. These findings provide evidence for an altered immune composition in comorbid obesity and depression, supporting a pathobiological overlap between the two disorders.

show abstract

Comorbid depression in medical diseases

Cited by 320 publications

References 268 publications

Investigating pleiotropy between depression and autoimmune diseases using the UK Biobank

Investigating pleiotropy between depression and autoimmune diseases using the UK Biobank

The multifactorial burden of Type 2 Diabetes mellitus: a study from clinical settings of University Hospital, Karachi, Pakistan

Immunological substrates of depressive symptoms in patients with severe obesity: An exploratory study

Contact Info

Product

Resources

About