Depression as a systemic disease

Sotelo, Jorge Luis; Nemeroff, Charles B.

doi:10.1016/j.pmip.2016.11.002

Cited by 33 publications

(32 citation statements)

References 360 publications

(383 reference statements)

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“…Finally, top results from celltypespecific MWASs were significantly enriched for genes implicated by external GWAS of MDD and related disorders. Taken together, this converge of evidence supports the value of the deconvolution strategy 8 as a costeffective approach to detect celltypespecific associations.…”

Section: Discussionsupporting

confidence: 68%

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Cell-type-specific methylome-wide association studies implicate neurodegenerative processes and neuroimmune communication in major depressive disorder

Chan

Turecki

Shabalin

et al. 2018

Preprint

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We studied the methylome in three collections of human postmortem brain (N=206) and blood samples (N=1,132) of subjects with major depressive disorder (MDD) and controls. Using an epigenomic deconvolution approach we performed celltypespecific methylomewide association studies (MWAS) within subpopulations of neurons/glia and granulocytes/Tcells/Bcells/monocytes for bulk brain and blood data, respectively. Multiple MWAS findings in neurons/glia replicated across brain collections (ORs=509538, Pvalues<1x10 5 ) and were reproducible in an arraybased MWAS of sorted neurons/glia from a fourth brain collection (N=58). Pathway analyses implicated p75 NTR /VEGF signaling, neurodegeneration, and bloodbrain barrier perturbation. Celltype specific analysis in blood identified associations in CD14+ monocytes a cell type strongly linked to neuroimmune processes and stress. Top results in neurons/glia/bulk and monocytes were enriched for genes supported by GWAS for MDD (ORs=2.022.87, Pvalues=0.003 to <1x10 5 ), neurodegeneration and other psychiatric disorders. In summary, we identified novel MDDmethylation associations by using epigenomic deconvolution that provided important mechanistic insights for the disease.

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Section: Discussionsupporting

confidence: 68%

“…Methylomewide association studies (MWAS) are ideally performed in the tissues where the pathogenic processes likely manifest. There exists good evidence that MDD has a systemic component that involves both brain and peripheral immune cells 7,8 . Therefore, we sought to characterize MDDlinked methylation changes in both brain and blood.…”

mentioning

confidence: 99%

Cell-type-specific methylome-wide association studies implicate neurodegenerative processes and neuroimmune communication in major depressive disorder

Chan

Turecki

Shabalin

et al. 2018

Preprint

View full text Add to dashboard Cite

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“…Depression is additionally a systemic disease that affects multiple medical illnesses via neurobiological mechanisms (Lutwak & Dill, 2012a, 2012b, 2012cSotelo & Nemeroff, 2017). It is a complicating factor of heart disease, stroke, diabetes, osteoporosis, and cancer.…”

Section: Depression As An Independent Risk Factor For Cardiac Diseasementioning

confidence: 99%

“…Inflammation, alterations in autonomic nervous system activity, and neuroendocrine dysregulation may, in turn, lead to the progression of depression in the setting of cooccurring medical disease. Experiences of childhood and adult trauma may magnify psychological as well as physiological illness (Sotelo & Nemeroff, 2017). Adulthood medical maladies may be affected by early childhood trauma through mechanisms of increased inflammation and hypothalamic-pituitaryadrenal axis activity (Sotelo & Nemeroff, 2017).…”

Section: Depression As An Independent Risk Factor For Cardiac Diseasementioning

confidence: 99%

“…Experiences of childhood and adult trauma may magnify psychological as well as physiological illness (Sotelo & Nemeroff, 2017). Adulthood medical maladies may be affected by early childhood trauma through mechanisms of increased inflammation and hypothalamic-pituitaryadrenal axis activity (Sotelo & Nemeroff, 2017). Women with histories of childhood maltreatment have higher rates of physical health problems and greater medical utilization compared to women without abuse histories.…”

Section: Depression As An Independent Risk Factor For Cardiac Diseasementioning

confidence: 99%

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2019

The Journal of Psychology

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Violence against women is a global public health problem with about one in three women experiencing either physical and or sexual intimate partner violence during their lifetime. Globally as many as 38% of homicides committed against women are by a male intimate partner. Violence against women may have negative effects on their mental, physical, and reproductive health (WHO fact sheet, 2016). Untreated individuals who have experienced violence or lifethreatening situations may develop posttraumatic stress disorder (PTSD). This disorder has the potential to be life-changing and cause negative psychological and medical issues (Rokach, Ahmed, & Patel, 2017). This potentially life-changing nature and consequence of violence affecting women worldwide deserves greater attention to ensure elimination of risk factors, financial support of investigational studies to promote detection of victims, and research to increase therapeutic efficacy of remediation. These efforts should be bolstered by all physicians, mental health experts, social service specialists, and public health advocates.

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Dual‐task enhanced global–local temporal–spatial network for depression recognition from facial videos

Shen,

Wu,

Xing

et al. 2024

Concurrency and Computation

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SummaryIn previous studies on facial video depression recognition, although convolutional neural network (CNN) has become a mainstream method, its performance still has room for improvement due to the insufficient extraction of global and local information and the neglect of the correlation of temporal and spatial information. This paper proposes a novel dual‐task enhanced global–local temporal–spatial network (DTE‐GLTS) to enhance the extraction capability of global and local features and deepen the analysis of temporal–spatial information correlation. We design a dual‐task learning mode that utilizes the data‐efficient image transformer (Deit) as the main body to learn the global features of video sequences and guides Deit to learn local features with the pre‐trained temporal–spatial fusion network (TSF). In addition, we propose the TSF mechanism to more effectively fuse temporal–spatial information in video sequences, strengthen the correlation between frames and pixels, and embed it in Resnet to form the TSF network. To the best of our knowledge, this is the first application of Deit and dual‐task learning mode in the field of facial video depression recognition. The experimental results on AVEC 2013 and AVEC 2014 show that our method achieves competitive performance, with mean absolute error/root mean square error (MAE/RMSE) scores of 6.06/7.73 and 5.91/7.68, respectively, while significantly reducing the number of parameters.

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Depression as a systemic disease

Cited by 33 publications

References 360 publications

Cell-type-specific methylome-wide association studies implicate neurodegenerative processes and neuroimmune communication in major depressive disorder

Cell-type-specific methylome-wide association studies implicate neurodegenerative processes and neuroimmune communication in major depressive disorder

Correction

Dual‐task enhanced global–local temporal–spatial network for depression recognition from facial videos

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