PubMed · 8736461
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
K R Silk. Axis I-axis II interactions.. https://doi.org/10.1016/0022-3956(96)00017-9
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
BACKGROUND: Patients with asthma have an increased risk of developing depression, affecting their quality of life. To date, the processes contributing to this comorbidity remain unclear. METHODS: We integrated two large genome-wide association studies (88,486 patients with asthma and 447,859 controls; 412,024 patients with depression and 1,587,577 controls) with cross-sectional and longitudinal information available from the All of Us Research Program (N = 87,167) through polygenic risk scoring (PRS), Cox proportional-hazards models, one-sample Mendelian randomization (MR), and gene-set and drug-repurposing analyses. RESULTS: We observed that depression PRS was associated with increased asthma risk (hazard ratio, HR = 1.13, 95% CI = 1.09-1.17), also when accounting for comorbidity status (HR = 1.08, 95% CI = 1.04-1.12). Conversely, the effect of asthma PRS was null after accounting for comorbidity status. One-sample MR analysis showed an effect of depression genetic liability on asthma, ranging from beta = 0.36 ± 0.03 when considering a linear relationship to beta = 3.21 ± 0.31 when considering possible nonlinear relationships. Conversely, the effect of asthma genetic risk on depression was null after accounting for potential confounders. The gene-set analyses showed that asthma and depression polygenic risks share biological processes, molecular functions, and cellular components related to the immune system and the lung-brain axis. CONCLUSIONS: Genetic predisposition contributes to asthma-depression comorbidity through direct effects and shared pathogenic processes. These findings highlight the potential to develop targeted interventions to prevent and treat the co-occurrence of respiratory and neuropsychiatric disorders.
Explore the source record for details and available documents.
Research in women's health has revealed the difficulties female patients experience in their attempts to receive accurate medical diagnoses. Depression may be misdiagnosed in 30-50% of female patients. This difficulty is considerably enhanced when women have physical diseases characterized by symptoms that resemble a major depressive disorder. In addition, medical treatments may induce symptoms that are misdiagnosed as affective distress. Multiple causes contribute to an enhanced likelihood of misdiagnoses in women, including physicians' androcentrically orientated medical training and the two-to-one female-to-male ratio of depression treatment. The adverse consequences of incorrect diagnoses range from unnecessary expenditures of a woman's resources to potentially life-threatening medical conditions. Ironically, medical misdiagnoses of physical conditions may induce depressive reactions in female patients. A woman's age, sexual orientation, menstrual, occupational, and/or parental status represent potential areas of discrimination in diagnostic determinations. Suggestions are offered for improving the accuracy of health care providers' diagnoses in women.