@article{HaringLengRobinsonetal.2013, author = {Haring, Bernhard and Leng, Xiaoyan and Robinson, Jennifer and Johnson, Karen C. and Jackson, Rebecca D. and Beyth, Rebecca and Wactawski-Wende, Jean and Wyler von Ballmoos, Moritz and Goveas, Joseph S. and Kuller, Lewis H. and Wassertheil-Smoller, Sylvia}, title = {Cardiovascular Disease and Cognitive Decline in Postmenopausal Women: Results From the Women's Health Initiative Memory Study}, series = {Journal of the American Heart Association}, volume = {2}, journal = {Journal of the American Heart Association}, number = {e000369}, doi = {10.1161/JAHA.113.000369}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-129487}, year = {2013}, abstract = {Background-—Data on cardiovascular diseases (CVD) and cognitive decline are conflicting. Our objective was to investigate if CVD is associated with an increased risk for cognitive decline and to examine whether hypertension, diabetes, or adiposity modify the effect of CVD on cognitive functioning. Methods and Results-—Prospective follow-up of 6455 cognitively intact, postmenopausal women aged 65 to 79 years old enrolled in the Women's Health Initiative Memory Study (WHIMS). CVD was determined by self-report. For cognitive decline, we assessed the incidence of mild cognitive impairment (MCI) or probable dementia (PD) via modified mini-mental state examination (3 MS) score, neurocognitive, and neuropsychiatric examinations. The median follow-up was 8.4 years. Women with CVD tended to be at increased risk for cognitive decline compared with those free of CVD (hazard ratio [HR], 1.29; 95\% CI: 1.00, 1.67). Women with myocardial infarction or other vascular disease were at highest risk (HR, 2.10; 95\% CI: 1.40, 3.15 or HR, 1.97; 95\% CI: 1.34, 2.87). Angina pectoris was moderately associated with cognitive decline (HR 1.45; 95\% CI: 1.05, 2.01) whereas no significant relationships were found for atrial fibrillation or heart failure. Hypertension and diabetes increased the risk for cognitive decline in women without CVD. Diabetes tended to elevate the risk for MCI/PD in women with CVD. No significant trend was seen for adiposity. Conclusions-—CVD is associated with cognitive decline in elderly postmenopausal women. Hypertension and diabetes, but not adiposity, are associated with a higher risk for cognitive decline. More research is warranted on the potential of CVD prevention for preserving cognitive functioning.}, language = {en} } @article{HaringLengRobinsonetal.2013, author = {Haring, Bernhard and Leng, Xiaoyan and Robinson, Jennifer and Johnson, Karen C. and Jackson, Rebecca D. and Beyth, Rebecca and Wactawski-Wende, Jean and Wyler von Ballmoos, Moritz and Goveas, Joseph S. and Kuller, Lewis H. and Wassertheil-Smoller, Sylvia}, title = {Cardiovascular Disease and Cognitive Decline in Postmenopausal Women: Results From the Women's Health Initiative Memory Study}, doi = {10.1161/JAHA.113.000369)}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-111376}, year = {2013}, abstract = {Background Data on cardiovascular diseases (CVD) and cognitive decline are conflicting. Our objective was to investigate if CVD is associated with an increased risk for cognitive decline and to examine whether hypertension, diabetes, or adiposity modify the effect of CVD on cognitive functioning. Methods and Results: Prospective follow-up of 6455 cognitively intact, postmenopausal women aged 65 to 79 years old enrolled in the Women's Health Initiative Memory Study (WHIMS). CVD was determined by self-report. For cognitive decline, we assessed the incidence of mild cognitive impairment (MCI) or probable dementia (PD) via modified mini-mental state examination (3 MS) score, neurocognitive, and neuropsychiatric examinations. The median follow-up was 8.4 years. Women with CVD tended to be at increased risk for cognitive decline compared with those free of CVD (hazard ratio [HR], 1.29; 95\% CI: 1.00, 1.67). Women with myocardial infarction or other vascular disease were at highest risk (HR, 2.10; 95\% CI: 1.40, 3.15 or HR, 1.97; 95\% CI: 1.34, 2.87). Angina pectoris was moderately associated with cognitive decline (HR 1.45; 95\% CI: 1.05, 2.01) whereas no significant relationships were found for atrial fibrillation or heart failure. Hypertension and diabetes increased the risk for cognitive decline in women without CVD. Diabetes tended to elevate the risk for MCI/PD in women with CVD. No significant trend was seen for adiposity. Conclusions: CVD is associated with cognitive decline in elderly postmenopausal women. Hypertension and diabetes, but not adiposity, are associated with a higher risk for cognitive decline. More research is warranted on the potential of CVD prevention for preserving cognitive functioning.}, language = {en} } @article{TolstikAliGuoetal.2022, author = {Tolstik, Elen and Ali, Nairveen and Guo, Shuxia and Ebersbach, Paul and M{\"o}llmann, Dorothe and Arias-Loza, Paula and Dierks, Johann and Schuler, Irina and Freier, Erik and Debus, J{\"o}rg and Baba, Hideo A. and Nordbeck, Peter and Bocklitz, Thomas and Lorenz, Kristina}, title = {CARS imaging advances early diagnosis of cardiac manifestation of Fabry disease}, series = {International Journal of Molecular Sciences}, volume = {23}, journal = {International Journal of Molecular Sciences}, number = {10}, issn = {1422-0067}, doi = {10.3390/ijms23105345}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284427}, year = {2022}, abstract = {Vibrational spectroscopy can detect characteristic biomolecular signatures and thus has the potential to support diagnostics. Fabry disease (FD) is a lipid disorder disease that leads to accumulations of globotriaosylceramide in different organs, including the heart, which is particularly critical for the patient's prognosis. Effective treatment options are available if initiated at early disease stages, but many patients are late- or under-diagnosed. Since Coherent anti-Stokes Raman (CARS) imaging has a high sensitivity for lipid/protein shifts, we applied CARS as a diagnostic tool to assess cardiac FD manifestation in an FD mouse model. CARS measurements combined with multivariate data analysis, including image preprocessing followed by image clustering and data-driven modeling, allowed for differentiation between FD and control groups. Indeed, CARS identified shifts of lipid/protein content between the two groups in cardiac tissue visually and by subsequent automated bioinformatic discrimination with a mean sensitivity of 90-96\%. Of note, this genotype differentiation was successful at a very early time point during disease development when only kidneys are visibly affected by globotriaosylceramide depositions. Altogether, the sensitivity of CARS combined with multivariate analysis allows reliable diagnostic support of early FD organ manifestation and may thus improve diagnosis, prognosis, and possibly therapeutic monitoring of FD.}, language = {en} } @article{WeismannMoeckelPaethetal.2023, author = {Weismann, Dirk and M{\"o}ckel, Martin and Paeth, Heiko and Slagman, Anna}, title = {Modelling variations of emergency attendances using data on community mobility, climate and air pollution}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, doi = {10.1038/s41598-023-47857-4}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357578}, year = {2023}, abstract = {Air pollution is associated with morbidity and mortality worldwide. We investigated the impact of improved air quality during the economic lockdown during the SARS-Cov2 pandemic on emergency room (ER) admissions in Germany. Weekly aggregated clinical data from 33 hospitals were collected in 2019 and 2020. Hourly concentrations of nitrogen and sulfur dioxide (NO2, SO2), carbon and nitrogen monoxide (CO, NO), ozone (O3) and particulate matter (PM10, PM2.5) measured by ground stations and meteorological data (ERA5) were selected from a 30 km radius around the corresponding ED. Mobility was assessed using aggregated cell phone data. A linear stepwise multiple regression model was used to predict ER admissions. The average weekly emergency numbers vary from 200 to over 1600 cases (total n = 2,216,217). The mean maximum decrease in caseload was 5 standard deviations. With the enforcement of the shutdown in March, the mobility index dropped by almost 40\%. Of all air pollutants, NO2 has the strongest correlation with ER visits when averaged across all departments. Using a linear stepwise multiple regression model, 63\% of the variation in ER visits is explained by the mobility index, but still 6\% of the variation is explained by air quality and climate change.}, language = {en} } @article{BarreaVetraniAltierietal.2021, author = {Barrea, Luigi and Vetrani, Claudia and Altieri, Barbara and Verde, Ludovica and Savastano, Silvia and Colao, Annamaria and Muscogiuri, Giovanna}, title = {The importance of being a 'lark' in post-menopausal women with obesity: a ploy to prevent type 2 diabetes mellitus?}, series = {Nutrients}, volume = {13}, journal = {Nutrients}, number = {11}, issn = {2072-6643}, doi = {10.3390/nu13113762}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-248572}, year = {2021}, abstract = {Chronotype is defined as the behavioral manifestation of circadian rhythms related to the external light-dark cycle. Evening chronotype has been associated with an increased risk of developing cardiometabolic diseases in obesity. Menopause is a lifestage associated with an increased risk of developing cardiometabolic diseases and a change in circadian rhythmicity compared to pre-menopause. However, the prevalence of chronotype categories in menopause and their role in determining menopause-related cardiometabolic risk, mostly in obesity, have not been investigated. Thus, we aimed to investigate the prevalence of chronotype categories in post-menopausal women with obesity and their role in menopause-related cardiometabolic risk. In this cross-sectional study we enrolled 49 pre-menopausal and 74 post-menopausal women with obesity. Anthropometric parameters, lifestyle habits, adherence to the Mediterranean Diet (MD), sleep quality, chronotype and the presence of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD) were studied. No significance differences were detected in terms of lifestyle and adherence to the MD between pre- and post-menopausal women. Chronotype was classified as morning in 66 (53.6\%), evening in 20 (16.3\%) and intermediate in 37 (30.1\%) women. In addition, pre-menopausal women with obesity showed a significantly higher chance to have an intermediate chronotype (OR = 2.21, 95\% CI 1.28-3.83; p = 0.004), whereas post-menopausal women with obesity showed a trend to have a higher morning chronotype (OR = 1.42, 95\% CI 0.98-2.06; p = 0.051), although this did not reach statistical significance. No significant differences were detected in terms of prevalence of evening chronotype between the two groups. However, the evening chronotype had a significantly higher risk to have T2DM compared to the morning (OR = 17.29, 95\% CI 2.40-124.27; p = 0.005) and intermediate chronotypes (OR = 30.86, 95\% CI 2.05-464.32; p = 0.013) in both pre- and post-menopausal women with obesity. In conclusion, the intermediate chronotype was significantly more prevalent in pre-menopausal women with obesity compared to post-menopausal women. Evening chronotype was associated to T2DM in both pre- and post-menopause. These results support the importance of including the assessment of chronotype in the management of women with obesity in post-menopause.}, language = {en} }