Vasoconstriction is regulated by various ion channels expressed in the plasma membrane of vascular smooth muscle cells. In particular, potassium (K+) channel activity determines resting membrane potential and regulates intracellular calcium (Ca2+) signaling. A number of studies have suggested that dysregulation of K+ channel activity is associated with increased myogenic tone or diminished vasorelaxation. Among the various families of K+ channels, voltage-dependent K+ channels (Kv channels) encoded by the KCNQ gene family (Kv7 channels or M channels) are widely expressed in various blood vessels isolated from mouse, rat, and human. Recent studies have demonstrated that a subunit of the Kv7 channel, Kv7.4, is down-regulated in the aorta and mesenteric and renal arteries of the Spontaneously Hypertensive Rat (SHR) model. Previous studies have also suggested that Kv7 channels play an important role in the regulation of vasorelaxation/vasoconstriction in response to activators/blockers. In addition, previous studies have indicated that hypertension, diabetes mellitus, and cerebrovascular disease result in development of vascular dysfunction associated with Kv7 abnormalities in various animal models. This review focuses on the potential role of the Kv7 channel in vascular dysfunction.
Animals ; Aorta ; Blood Vessels ; Calcium ; Cell Membrane ; Diabetes Mellitus ; Humans ; Hypertension ; Ion Channels ; Membrane Potentials ; Mice ; Models, Animal ; Muscle, Smooth, Vascular ; Potassium ; Rats ; Rats, Inbred SHR ; Renal Artery ; Vasoconstriction ; Vasodilation

Deep learning has recently achieved remarkable results in the field of medical imaging. However, as a deep learning network becomes deeper to improve its performance, it becomes more difficult to interpret the processes within. This can especially be a critical problem in medical fields where diagnostic decisions are directly related to a patient's survival. In order to solve this, explainable artificial intelligence techniques are being widely studied, and an attention mechanism was developed as part of this approach. In this paper, attention techniques are divided into two types: post hoc attention, which aims to analyze a network that has already been trained, and trainable attention, which further improves network performance. Detailed comparisons of each method, examples of applications in medical imaging, and future perspectives will be covered.

Deep learning has recently achieved remarkable results in the field of medical imaging. However, as a deep learning network becomes deeper to improve its performance, it becomes more difficult to interpret the processes within. This can especially be a critical problem in medical fields where diagnostic decisions are directly related to a patient's survival. In order to solve this, explainable artificial intelligence techniques are being widely studied, and an attention mechanism was developed as part of this approach. In this paper, attention techniques are divided into two types: post hoc attention, which aims to analyze a network that has already been trained, and trainable attention, which further improves network performance. Detailed comparisons of each method, examples of applications in medical imaging, and future perspectives will be covered.

Occupational use of cleaning products can cause asthma in healthcare workers but the cleaning agents responsible are not yet known. This study aimed to identify respiratory and other hazards in cleaning products on the National Health Service (NHS) supply chain online catalogue and used in the NHS. Information on cleaning products, their composition, and H-statements that identified hazard characteristics of chemical substances in them was obtained from chemical safety data sheets (SDSs). Furthermore, a quantitative structure-activity relationship model and a published asthmagen list were used to identify potential additional respiratory hazards. 473 cleaning products and 229 substances were identified. SDSs reported only 4 respiratory sensitizers but an additional 51 were suggested by the other 2 methods. In contrast, 25 respiratory irritants were identified using SDSs and only one from the asthmagen list. This comprehensive overview of cleaning agents' hazards has potential use in future risk assessment and epidemiological studies.

Occupational use of cleaning products can cause asthma in healthcare workers but the cleaning agents responsible are not yet known. This study aimed to identify respiratory and other hazards in cleaning products on the National Health Service (NHS) supply chain online catalogue and used in the NHS. Information on cleaning products, their composition, and H-statements that identified hazard characteristics of chemical substances in them was obtained from chemical safety data sheets (SDSs). Furthermore, a quantitative structure-activity relationship model and a published asthmagen list were used to identify potential additional respiratory hazards. 473 cleaning products and 229 substances were identified. SDSs reported only 4 respiratory sensitizers but an additional 51 were suggested by the other 2 methods. In contrast, 25 respiratory irritants were identified using SDSs and only one from the asthmagen list. This comprehensive overview of cleaning agents' hazards has potential use in future risk assessment and epidemiological studies.

Occupational use of cleaning products can cause asthma in healthcare workers but the cleaning agents responsible are not yet known. This study aimed to identify respiratory and other hazards in cleaning products on the National Health Service (NHS) supply chain online catalogue and used in the NHS. Information on cleaning products, their composition, and H-statements that identified hazard characteristics of chemical substances in them was obtained from chemical safety data sheets (SDSs). Furthermore, a quantitative structure-activity relationship model and a published asthmagen list were used to identify potential additional respiratory hazards. 473 cleaning products and 229 substances were identified. SDSs reported only 4 respiratory sensitizers but an additional 51 were suggested by the other 2 methods. In contrast, 25 respiratory irritants were identified using SDSs and only one from the asthmagen list. This comprehensive overview of cleaning agents' hazards has potential use in future risk assessment and epidemiological studies.

Occupational use of cleaning products can cause asthma in healthcare workers but the cleaning agents responsible are not yet known. This study aimed to identify respiratory and other hazards in cleaning products on the National Health Service (NHS) supply chain online catalogue and used in the NHS. Information on cleaning products, their composition, and H-statements that identified hazard characteristics of chemical substances in them was obtained from chemical safety data sheets (SDSs). Furthermore, a quantitative structure-activity relationship model and a published asthmagen list were used to identify potential additional respiratory hazards. 473 cleaning products and 229 substances were identified. SDSs reported only 4 respiratory sensitizers but an additional 51 were suggested by the other 2 methods. In contrast, 25 respiratory irritants were identified using SDSs and only one from the asthmagen list. This comprehensive overview of cleaning agents' hazards has potential use in future risk assessment and epidemiological studies.

BACKGROUND: Atopic dermatitis (AD) is characterized by pruritic and eczematous skin lesions, which often cause depressive symptoms, anxiety, stress, sleep disturbances, social withdrawal, and stigmatization. METHODS: In total, 23,442 subjects (434 AD patients and 23,008 control subjects) aged 19 years or older and without a history of major medical illness or depressive disorders were selected from The Fifth Korea National Health and Nutrition Examination Survey 2007-2012. Following the initial selection, 2,170 age- and sex-matched control subjects were selected using 1:5 propensity score matching. Multiple logistic regression analysis was performed to identify the presence of depressive symptoms of at least 2 weeks in duration. RESULTS: The demographic, socioeconomic, and clinical characteristics of AD patients and control subjects were presented and compared, and some variables differed significantly between groups. Presence of depressive symptoms was set as dependent variable, and multiple logistic regression analysis was performed as follows: (1) unadjusted; (2) with alcohol use, exercise status, smoking status, and body mass index (BMI) adjusted for; and (3) with alcohol use, exercise status, smoking status, marital status, occupation, BMI, total caloric intake, history of hypertension, and history of diabetes mellitus adjusted for. Depressive symptoms were significantly higher (odds ratios, 1.46, 1.40, and 1.36; 95% confidence intervals, 1.09-1.95, 1.0.4-1.88, and 1.01-1.85, respectively) in AD patients relative to those of matched controls. CONCLUSION: AD and clinical depression interact closely, and causal relationships between the two conditions have frequently been observed. Physicians should consider mental health interventions cautiously. It is particularly important that primary care physicians provide comprehensive, continuous long-term care.
Adult* ; Anxiety ; Body Mass Index ; Depression* ; Depressive Disorder ; Dermatitis, Atopic* ; Diabetes Mellitus ; Energy Intake ; Humans ; Hypertension ; Korea* ; Logistic Models ; Long-Term Care ; Marital Status ; Mental Health ; Nutrition Surveys* ; Occupations ; Physicians, Primary Care ; Propensity Score ; Skin ; Smoke ; Smoking ; Stereotyping

Extramammary Paget’s Disease (EMPD) is a rare intraepithelial malignancy of apocrine bearing glands, which occur usually in the perianal region, vulva, scrotum, penis and ax-illa. Most of the disease are treated by surgical resection and the prognosis is generally good. Even though recurrent disease, it is usually slowly progressed with good prognosis. Here we describe the case of a 70-year-old male who has presented with initially just as an EMPD component of squamous cell carcinoma in inguinal skin, but he showed recur-rence of EMPD. The disease has progressed rapidly, finally he died of that EMPD in 2 months of recurrence. The purpose of this study is to report the rare case of fulminant disease course of EMPD after recurrence.

OBJECTIVE: Several lines of evidence suggest that brain-derived neurotrophic factor (BDNF) plays a role in the pathophysiology of anxiety. We analyzed the association of the BDNF gene polymorphism, G196A (val66met), in the coding region of exon XIIIA in chromosome 11p13, and generalized social anxiety disorder (GSAD). METHODS: Patients with GSAD (n=73) and age-matched control subjects (n=152) were tested for the BDNF (val66met) polymorphism. A clinical interview and a Mini-International Neuropsychiatric Interview were conducted by trained psychiatrists in order to diagnose GSAD. The symptomatic characteristics of the GSAD patients were assessed with the Hamilton Anxiety Rating Scale, the Beck Anxiety Inventory, the Retrospective Self Report of Inhibition, the Spielberger State-Trait Anxiety Inventory, and the Liebowitz Social Anxiety Scale. RESULTS: There were no significant differences in the frequencies of the genotypes (chi2=0.961, degree of freedom [df]=2, p=0.619), alleles (chi2=0.415, df=1, p=0.519), or allele (methionine) carriers (chi2=0.019, df=1, p=0.889) between the patients and controls. In addition, when we compared the severity of social anxiety symptom as determined by the clinical scales with the genotypes of the BDNF gene, we could not find any significant differences between the genotypes or allele carriers. CONCLUSION: These results do not support the hypothesis that the BDNF gene might be a candidate gene for susceptibility or severity of GSAD in the Korean population in this study.
Alleles ; Anxiety ; Anxiety Disorders ; Brain-Derived Neurotrophic Factor ; Clinical Coding ; Exons ; Freedom ; Genotype ; Humans ; Psychiatry ; Retrospective Studies ; Self Report ; Weights and Measures