Purpose: Previous studies from mostly Western populations have suggested possible associations between obesity and melanoma risk. This study aimed to investigate associations between obesity status and melanoma using a nationwide cohort of Koreans. Materials and Methods: A total of 4,441,403 adults who received a national health examination in 2012 were included from the Korean National Health Insurance Service database, and followed until December 31, 2022. Obesity status was defined based on the body mass index at the baseline health examination. Cox proportional hazards analyses were performed to evaluate associations between obesity status and incident melanoma, with adjustment for confounders. Stratified analyses were performed by sex and menopausal status (in women). Results: Overall, melanoma risk increased according to obesity status (p for trend=0.024); adjusted hazard ratios (95% confidence intervals) for melanoma risk were 0.766 (0.438–1.340) in underweight; 1.292 (1.072–1.557) in overweight; 1.202 (1.002–1.442) in obesity; and 1.191 (0.798–1.778) in severe obesity compared to normal weight (reference). In stratified analyses, similar trends to those of the overall study population were observed among men and premenopausal women (p for trend=0.052 in men and 0.036 in premenopausal women). Among premenopausal women, the risk of melanoma increased linearly with obesity status. Meanwhile, among postmenopausal women, melanoma risk showed no significant difference or trend according to obesity status. Conclusion Overweight and obesity were associated with increased risk of melanoma in a population-based cohort of Koreans. Obese individuals, especially men and premenopausal women, may require more thorough prevention and screening strategies for melanoma.

Purpose: Cancer survivors are at increased risk of diabetes mellitus (DM). Additionally, the prevalence of obesity, which is also a risk factor for DM, is increasing in cancer survivors. We investigated the associations between weight change after cancer diagnosis and DM risk. Materials and Methods: This retrospective cohort study used data from the Korean National Health Insurance Service. Participants who were newly diagnosed with cancer from 2010 to 2016 and received national health screening before and after diagnosis were included and followed until 2019. Weight change status after cancer diagnosis was categorized into four groups: sustained normal weight, obese to normal weight, normal weight to obese, or sustained obese. Cox proportional hazard analyses were performed to examine associations between weight change and DM. Results: The study population comprised 264,250 cancer survivors. DM risk was highest in sustained obese (adjusted hazard ratios [aHR], 2.17; 95% confidence interval [CI], 2.08 to 2.26), followed by normal weight to obese (aHR, 1.66; 95% CI, 1.54 to 1.79), obese to normal weight (aHR, 1.29; 95% CI, 1.21 to 1.39), and then sustained normal weight group (reference). In subgroup analyses according to cancer type, most cancers showed the highest risks in sustained obese group. Conclusion Obesity at any time point was related to increased DM risk, presenting the highest risk in cancer survivors with sustained obesity. Survivors who changed from obese to normal weight had lower risk than survivors with sustained obesity. Survivors who changed from normal weight to obese showed increased risk compared to those who sustained normal weight. Our finding supports the significance of weight management among cancer survivors.

Purpose: Cancer survivors are at increased risk of diabetes mellitus (DM). Additionally, the prevalence of obesity, which is also a risk factor for DM, is increasing in cancer survivors. We investigated the associations between weight change after cancer diagnosis and DM risk. Materials and Methods: This retrospective cohort study used data from the Korean National Health Insurance Service. Participants who were newly diagnosed with cancer from 2010 to 2016 and received national health screening before and after diagnosis were included and followed until 2019. Weight change status after cancer diagnosis was categorized into four groups: sustained normal weight, obese to normal weight, normal weight to obese, or sustained obese. Cox proportional hazard analyses were performed to examine associations between weight change and DM. Results: The study population comprised 264,250 cancer survivors. DM risk was highest in sustained obese (adjusted hazard ratios [aHR], 2.17; 95% confidence interval [CI], 2.08 to 2.26), followed by normal weight to obese (aHR, 1.66; 95% CI, 1.54 to 1.79), obese to normal weight (aHR, 1.29; 95% CI, 1.21 to 1.39), and then sustained normal weight group (reference). In subgroup analyses according to cancer type, most cancers showed the highest risks in sustained obese group. Conclusion Obesity at any time point was related to increased DM risk, presenting the highest risk in cancer survivors with sustained obesity. Survivors who changed from obese to normal weight had lower risk than survivors with sustained obesity. Survivors who changed from normal weight to obese showed increased risk compared to those who sustained normal weight. Our finding supports the significance of weight management among cancer survivors.

Purpose: Cancer survivors are at increased risk of diabetes mellitus (DM). Additionally, the prevalence of obesity, which is also a risk factor for DM, is increasing in cancer survivors. We investigated the associations between weight change after cancer diagnosis and DM risk. Materials and Methods: This retrospective cohort study used data from the Korean National Health Insurance Service. Participants who were newly diagnosed with cancer from 2010 to 2016 and received national health screening before and after diagnosis were included and followed until 2019. Weight change status after cancer diagnosis was categorized into four groups: sustained normal weight, obese to normal weight, normal weight to obese, or sustained obese. Cox proportional hazard analyses were performed to examine associations between weight change and DM. Results: The study population comprised 264,250 cancer survivors. DM risk was highest in sustained obese (adjusted hazard ratios [aHR], 2.17; 95% confidence interval [CI], 2.08 to 2.26), followed by normal weight to obese (aHR, 1.66; 95% CI, 1.54 to 1.79), obese to normal weight (aHR, 1.29; 95% CI, 1.21 to 1.39), and then sustained normal weight group (reference). In subgroup analyses according to cancer type, most cancers showed the highest risks in sustained obese group. Conclusion Obesity at any time point was related to increased DM risk, presenting the highest risk in cancer survivors with sustained obesity. Survivors who changed from obese to normal weight had lower risk than survivors with sustained obesity. Survivors who changed from normal weight to obese showed increased risk compared to those who sustained normal weight. Our finding supports the significance of weight management among cancer survivors.

Objectives: The association between statin use and depression is well studied, but the studies on the association of statin use and bipolar disorders are limited. Thus, we aimed to investigate the effects of taking statin on risk of bipolar disorder using national claims data of South Korea. Methods: A total of 5713871 subjects who did not take statin and were not diagnosed with bipolar disorder before the health examination were included. Among eligible subjects, 315537 subjects started taking statin within 1 year after taking the health examination and 5398334 subjects did not. After 9 years of follow-up, the incidence of bipolar disorder was determined for each group. Results: Compared to subjects who were not exposed to statin, subjects who were exposed to statin showed a greater incidence of bipolar disorder and an increased risk of bipolar disorder (hazard ratio [HR]: 1.66; 95% confidence interval [CI]: 1.58 to 1.75), and after adjusting for age, sex, low income, regular exercise, smoking, drinking, diabetes mellitus, hypertension, body mass index, cholesterol and depression (adjusted HR: 1.32; 95% CI: 1.24 to 1.40). Conclusions This result showed an increased risk of bipolar disorder after taking statin, but the underlying biological mechanism needs further investigations. This study has clinical implications for patients taking statins, which require early assessment and response in addition to drug treatment and lifestyle modification, considering the possibility that unhealthy lifestyle habits may appear as part of the mood symptoms of bipolar disorder.

Objectives: The association between statin use and depression is well studied, but the studies on the association of statin use and bipolar disorders are limited. Thus, we aimed to investigate the effects of taking statin on risk of bipolar disorder using national claims data of South Korea. Methods: A total of 5713871 subjects who did not take statin and were not diagnosed with bipolar disorder before the health examination were included. Among eligible subjects, 315537 subjects started taking statin within 1 year after taking the health examination and 5398334 subjects did not. After 9 years of follow-up, the incidence of bipolar disorder was determined for each group. Results: Compared to subjects who were not exposed to statin, subjects who were exposed to statin showed a greater incidence of bipolar disorder and an increased risk of bipolar disorder (hazard ratio [HR]: 1.66; 95% confidence interval [CI]: 1.58 to 1.75), and after adjusting for age, sex, low income, regular exercise, smoking, drinking, diabetes mellitus, hypertension, body mass index, cholesterol and depression (adjusted HR: 1.32; 95% CI: 1.24 to 1.40). Conclusions This result showed an increased risk of bipolar disorder after taking statin, but the underlying biological mechanism needs further investigations. This study has clinical implications for patients taking statins, which require early assessment and response in addition to drug treatment and lifestyle modification, considering the possibility that unhealthy lifestyle habits may appear as part of the mood symptoms of bipolar disorder.

Objectives: The association between statin use and depression is well studied, but the studies on the association of statin use and bipolar disorders are limited. Thus, we aimed to investigate the effects of taking statin on risk of bipolar disorder using national claims data of South Korea. Methods: A total of 5713871 subjects who did not take statin and were not diagnosed with bipolar disorder before the health examination were included. Among eligible subjects, 315537 subjects started taking statin within 1 year after taking the health examination and 5398334 subjects did not. After 9 years of follow-up, the incidence of bipolar disorder was determined for each group. Results: Compared to subjects who were not exposed to statin, subjects who were exposed to statin showed a greater incidence of bipolar disorder and an increased risk of bipolar disorder (hazard ratio [HR]: 1.66; 95% confidence interval [CI]: 1.58 to 1.75), and after adjusting for age, sex, low income, regular exercise, smoking, drinking, diabetes mellitus, hypertension, body mass index, cholesterol and depression (adjusted HR: 1.32; 95% CI: 1.24 to 1.40). Conclusions This result showed an increased risk of bipolar disorder after taking statin, but the underlying biological mechanism needs further investigations. This study has clinical implications for patients taking statins, which require early assessment and response in addition to drug treatment and lifestyle modification, considering the possibility that unhealthy lifestyle habits may appear as part of the mood symptoms of bipolar disorder.

Objectives: The association between statin use and depression is well studied, but the studies on the association of statin use and bipolar disorders are limited. Thus, we aimed to investigate the effects of taking statin on risk of bipolar disorder using national claims data of South Korea. Methods: A total of 5713871 subjects who did not take statin and were not diagnosed with bipolar disorder before the health examination were included. Among eligible subjects, 315537 subjects started taking statin within 1 year after taking the health examination and 5398334 subjects did not. After 9 years of follow-up, the incidence of bipolar disorder was determined for each group. Results: Compared to subjects who were not exposed to statin, subjects who were exposed to statin showed a greater incidence of bipolar disorder and an increased risk of bipolar disorder (hazard ratio [HR]: 1.66; 95% confidence interval [CI]: 1.58 to 1.75), and after adjusting for age, sex, low income, regular exercise, smoking, drinking, diabetes mellitus, hypertension, body mass index, cholesterol and depression (adjusted HR: 1.32; 95% CI: 1.24 to 1.40). Conclusions This result showed an increased risk of bipolar disorder after taking statin, but the underlying biological mechanism needs further investigations. This study has clinical implications for patients taking statins, which require early assessment and response in addition to drug treatment and lifestyle modification, considering the possibility that unhealthy lifestyle habits may appear as part of the mood symptoms of bipolar disorder.

Abnormal aggregation of α-synuclein is a key element in the pathogenesis of several neurodegenerative diseases, including Parkinson’s disease (PD), dementia with Lewy bodies, and multiple system atrophy. α-synuclein aggregation spreads through various brain regions during the course of disease progression, a propagation that is thought to be mediated by the secretion and subsequent uptake of extracellular α-synuclein aggregates between neuronal cells. Thus, aggregated forms of this protein have emerged as promising targets for disease-modifying therapy for PD and related diseases. Here, we generated and characterized conformation-specific antibodies that preferentially recognize aggregated forms of α-synuclein. These antibodies promoted phagocytosis of extracellular α-synuclein aggregates by microglial cells and interfered with cell-to-cell propagation of α-synuclein. In an α-synuclein transgenic model, passive immunization with aggregate-specific antibodies significantly ameliorated pathological phenotypes, reducing α-synuclein aggregation, gliosis, inflammation, and neuronal loss. These results suggest that conformation-specific antibodies targeting α-synuclein aggregates are promising therapeutic agents for PD and related synucleinopathies.

Objective: This study evaluated the usefulness, as a risk factor of 30-day mortality, in patients residing in nursing-homes (NHs) or long-term care facilities with the diagnosis of pneumonia. Methods: We conducted a retrospective study in a public hospital between January 2017 and December 2017. The subjects included elderly patients residing in NHs and diagnosed with pneumonia in the emergency room. Data on age, gender, comorbidities, laboratory findings, pneumonia severity index score (PSI), and CURB-65 (Confusion, Urea, Respiratory rate, Blood pressure, and Age 65 or older) were entered into an electronic database. Results: A total of 439 patients were enrolled during the study period. The mean age was 82.1±8.0 years; 195 (44.4%) were men, and 30-day mortality was 21.8%. On multivariate Cox proportional hazard analysis, cerebrovascular accidents (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.33-0.87; P=0.012), chronic renal disease (HR, 2.28; 95% CI, 1.11-4.67; P=0.024), malignancy (HR, 1.69; 95% CI, 1.04-2.76; P=0.034), lactate (HR, 1.02; 95% CI, 1.01-1.03; P<0.001), albumin (HR, 0.52; 95% CI, 0.36-0.73; P<0.001), and red cell distribution width (RDW; HR, 1.11; 95% CI, 1.03- 1.19; P=0.007) were independently associated with 30-day mortality. Areas under the curve of PSI, RDW, albumin, lactate, and PSI+RDW+albumin+lactate were 0.690 (95% CI, 0.629-0.751), 0.721 (95% CI, 0.666-0.775), 0.668 (95% CI, 0.607-0.728), 0.661 (95% CI, 0.597-0.726), and 0.801 (95% CI, 0.750-0.852), respectively. Conclusion RDW, albumin, lactate and especially the combination of PSI and these factors appear to be major determinants of 30-day mortality in NH residents with pneumonia.