Objective：In August 2012, an outbreak of enterohaemorrhagic Escherichia coli (EHEC) O157 infection was investigated by the City of Sapporo and Hokkaido Prefectural Government. The initial notification reported an illness affecting 94 residents of 10 private nursing homes distributed across multiple areas of Hokkaido, the northernmost island of Japan; at this time three cases were confirmed as EHEC O157 infection. The objectives of the investigation were to identify the source of infection and recommend control measures to prevent further illness.Methods：A suspected case was defined as a resident of one of the private nursing homes in Hokkaido who had at least one of the following gastrointestinal symptoms: diarrhoea, bloody stool, abdominal pain or vomiting between 10 July and 10 September 2012. Cases were confirmed by the presence of Shiga toxin 1- and 2-producing EHEC O157 in stool samples of suspected cases. We conducted an epidemiological analysis and an environmental investigation.Results：We identified 54 confirmed and 53 suspected cases in 12 private nursing homes including five fatalities. Of the 107 cases, 102 (95%) had consumed pickles, all of which had been manufactured at the same facility. EHEC O157 isolates from two pickle samples, 11 cases and two staff members of the processing company were indistinguishable. The company that produced the pickles used inadequate techniques to wash and sanitize the vegetables.Discussion：Contaminated pickles were the likely source of this outbreak. We recommended that the processing company improve their methods of washing and sanitizing raw vegetables. As a result of this outbreak, the sanitation requirements for processing pickles were revised.

Sokeikakketsuto was administered to 33 patients with recurrent cramps of the calf appearing once a week or more and persisting for 2 weeks or more. Treatment response was evaluated 1 month after the start of drug therapy. Patients whose cramps disappeared immediately after starting were regarded as showing a complete response, those with disappearance after 1 month as showing a partial response, those with a reduction to <50% after 1 month as showing a slight response, and those in whom 50% or more of cramps persisted after 1 month as showing no response. A complete response was achieved in 12 patients, a partial response in 11, a slight response in 9, and no response in 1. In 23 (69.6%) of the 33 patients, cramps disappeared within 1 month after the start of drug therapy. In 32 (96.9%), there was a reduction to <50%. In 29 (87.8%) of the 33 patients, cramps disappeared within 3 months, suggesting the efficacy of this drug. Two-package administration in the evening/at bedtime was more effective than 1-package administration for controlling cramps of the calf at night until early in the morning. The intensive pre-attack administration of 2 packages before sleep was the most effective. Sokeikakketsuto may be useful for treating recurrent cramps of the calf.

BACKGROUND: CC chemokine ligand 17 (CCL17) and CCL22 are the functional ligands for CCR4. We previously reported that inhibitors of nuclear factor-kappa B and p38 mitogen-activated protein kinase (p38 MAPK), but not of extracellular signal-related kinase (ERK), inhibited tumor necrosis factor (TNF)-alpha- and interferon (IFN)-gamma-induced production of CCL17 by the human keratinocyte cell line, HaCaT. Further, an inhibitor of epidermal growth factor receptor (EGFR) enhanced the CCL17 production by these keratinocytes. OBJECTIVE: To identify the mechanism underlying CCL22 production by HaCaT cells. METHODS: We investigated the signal transduction pathways by which TNF-alpha and IFN-gamma stimulate HaCaT cells to produce CCL22 by adding various inhibitors. RESULTS: TNF-alpha- and IFN-gamma-induced CCL22 production was inhibited by PD98059, PD153035, Bay 11-7085, SB202190, c-Jun N-terminal kinase (JNK) inhibitor II, and Janus kinase (JAK) inhibitor 1. CONCLUSION: Our results indicate that CCL22 production in HaCaT cells is dependent on ERK, EGFR, p38 MAPK, JNK, and JAK and is mediated by different signal pathways from those regulating CCL17 production. Altogether, our previous and present results suggest that EGFR activation represses CCL17 but enhances CCL22 production by these cells.
Bays ; Cell Line ; Chemokine CCL17 ; Chemokine CCL22 ; Humans ; Interferons ; JNK Mitogen-Activated Protein Kinases ; Keratinocytes* ; Ligands ; p38 Mitogen-Activated Protein Kinases ; Phosphotransferases ; Protein Kinases ; Receptor, Epidermal Growth Factor ; Signal Transduction ; Tumor Necrosis Factor-alpha

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.

We assessed the association of employee lifestyles (e.g., smoking, exercise, drinking, and sleep habits) with mental health-related absenteeism and turnover rates utilizing data from the annual Health and Productivity Management survey by Japan’s Ministry of Economy, Trade and Industry. This analysis included data from 1,748 companies, encompassing 4,199,021 employees. The average proportions of mental health-related absenteeism and employee turnover rates were 1.1±1.0% and 5.0±5.0%, respectively. In multivariable regression models that incorporated all lifestyle factors and confounders, a 1 percentage point increase in the proportion of employees who slept well was associated with reductions in their turnover rate (mean, -0.020%; 95% confidence interval [CI], -0.038 to -0.002) and in mental health-related absenteeism (mean, -0.005%; 95% CI, -0.009 to 0.001). A similar increase in the proportion of employees engaging in regular physical activity corresponded with a 0.005% decrease in the prevalence of mental health-related absenteeism (95% CI, -0.010 to -0.001). A 1 percentage point increase in the proportion of employees who smoked was associated with a 0.013% reduction in mental health-related absenteeism (95% CI, -0.017 to -0.008). Nonetheless, the current study’s observational and cross-sectional design restricted the ability to establish causality between employee lifestyle factors and mental health issues.