6,332 publications from this institution
Abstract Die thermische Zersetzung der metallcyclischen Verbindungen (IV) wird untersucht und mit der analoger acyclischer Komplexe wie (VII) verglichen.
Coronary artery disease (CAD), type 2 diabetes (T2D) and depression are among the leading causes of chronic morbidity and mortality worldwide. Epidemiological studies indicate a substantial degree of multimorbidity, which may be explained by shared genetic influences. However, research exploring the presence of pleiotropic variants and genes common to CAD, T2D and depression is lacking. The present study aimed to identify genetic variants with effects on cross-trait liability to psycho-cardiometabolic diseases. We used genomic structural equation modelling to perform a multivariate genome-wide association study of multimorbidity (Neffective = 562,507), using summary statistics from univariate genome-wide association studies for CAD, T2D and major depression. CAD was moderately genetically correlated with T2D (rg = 0.39, P = 2e-34) and weakly correlated with depression (rg = 0.13, P = 3e-6). Depression was weakly correlated with T2D (rg = 0.15, P = 4e-15). The latent multimorbidity factor explained the largest proportion of variance in T2D (45%), followed by CAD (35%) and depression (5%). We identified 11 independent SNPs associated with multimorbidity and 18 putative multimorbidity-associated genes. We observed enrichment in immune and inflammatory pathways. A greater polygenic risk score for multimorbidity in the UK Biobank (N = 306,734) was associated with the co-occurrence of CAD, T2D and depression (OR per standard deviation = 1.91, 95% CI = 1.74-2.10, relative to the healthy group), validating this latent multimorbidity factor. Mendelian randomization analyses suggested potentially causal effects of BMI, body fat percentage, LDL cholesterol, total cholesterol, fasting insulin, income, insomnia, and childhood maltreatment. These findings advance our understanding of multimorbidity suggesting common genetic pathways.
Abstract Study question What is the role of androgen excess as a contributing factor to insulin resistance and abnormal glucose metabolism (AGM) in women? Summary answer There was a positive association between early adulthood hyperandrogenaemia with AGM. Serum SHBG levels could help identifying women at risk for disordered glucose metabolism. What is known already It is commonly recognised that insulin resistance induces compensatory hyperinsulinaemia which promotes ovarian androgen secretion. Studies in rodents have also suggested that testosterone causes prolonged activation of androgen receptor in pancreatic islet β-cells, inducing insulin hypersecretion and eventually secondary β-cell failure, thus predisposing to type 2 diabetes (T2D). However, the exact physiology behind the association between androgens, insulin resistance and T2D in women is not well understood. Many previously published studies are limited by cross-sectional study design, unrepresentative clinic populations, as well as variying steroid hormone measurement methods and definitions of androgen excess. Study design, size, duration A prospective longitudinal population-based cohort (n = 5,889) to investigate whether serum levels of testosterone (T, measured using LC-MS/MS) and free androgen index (FAI) at ages 31 and 46 associated with AGM at age 46 years. After exclusion of pregnant women, users of hormonal intrauterine device, contraceptive pills, hormone therapy, minipills and statins, there were 4,421 women at age 31 and 4,457 women at age 46. At age 46 a two-hour OGTT was performed in 2,780 women. Participants/materials, setting, methods Serum fasting glucose and insulin, insulin resistance (HOMA–IR) and pancreatic β-cell function (HOMA–B) assessments were performed at ages 31 and 46. Elevated T levels (age 31: >2.3nmol/l; age 46: >1.7nmol/l) were defined according to the 97.5% percentile. T2D diagnoses were gathered from postal questionnaire at age 46, and verified and completed from the hospital discharge and national medication reimbursement registers. Impaired fasting glucose, impaired glucose tolerance or T2D were categorised as AGM. Main results and the role of chance At age 31, hyperandrogenic (HA) women displayed increased insulin resistance estimated by HOMA-IR (1.35±0.96 vs. 1.03±0.44, P = 0.05), increased insulin secretion estimated by HOMA-B (115.05±34.67 vs. 99.25±25.47, P = 0.006), and higher fasting insulin level (10.48±7.54 mU/l vs. 7.93±3.42 mU/l, P = 0.034) compared with normoandrogenic (NA) women, after BMI adjustment. At age 46, HA women had comparable HOMA-B levels (98.04±60.03 vs. 96.27±65.89, P = 0.93) but their fasting glucose (5.57±1.06 mmol/l vs. 5.37±0.77 mmol/, P = 0.07) and glycated haemoglobin levels (37.47±7.83 mmol/mol vs. 36.18±4.99 mmol/mol, P = 0.07) tended to be higher. Women in the highest T quartile (Q4 odds ratio [OR]=1.77, 95%CI: [1.14–2.76]) and in the two highest FAI quartiles at age 31 (Q4: OR = 3.61 [2.16–6.03] and Q3: OR = 2.11 [1.24–3.59]) had increased risk for AGM at age 46, independently of BMI, when compared with women in the lowest quartile. Similarly, women in the two highest FAI quartiles at age 46 had increased risk for AGM (Q4: OR = 2.91 [1.82–4.64]) when compared with women in the lowest quartile, after BMI adjustment. The three highest sex hormone-binding globulin (SHBG) quartiles inversely associated with AGM, both at ages 31 and 46, independently of BMI (at age 31: Q4: OR = 0.38 [0.24–0.62], at age 46: Q4: OR = 0.27 [0.17–0.44]). Limitations, reasons for caution We used only serum T as a marker of HA, even though other androgens, such as androstenedione and adrenal androgens have a place in the evaluation of androgenicity in women. Further studies of other large populations are needed to confirm our results. Wider implications of the findings This is the first longitudinal, general population based study to confirm a positive association between early adulthood hyperandrogenaemia with AGM in middle adulthood independently of confounding factors. Our results further suggest that SHBG levels could help to identify women at risk for AGM. Trial registration number NA
Abstract Dieser Aufsatz handelt von “Nanoskiving” (zu Deutsch etwa: Nano‐Hartschälen oder Nano‐Dünnschleifen) – einer einfachen und kostengünstigen Methode zur Nanofertigung, die die Notwendigkeit eines Zugangs zu Reinräumen und den dazugehörigen Einrichtungen minimiert, und die es zudem ermöglicht, Nanostrukturen aus Materialien und in Formen zu erstellen, für die herkömmlichere Methoden der Nanofertigung ungeeignet wären. Nanoskiving besteht aus drei Stufen: 1) Auftragung eines metallischen, halbleitenden, keramischen oder polymeren Dünnfilms auf eine Epoxidharz‐Oberfläche; 2) Einbetten dieses Films in Epoxidharz, sodass ein Epoxidharzblock entsteht, in dem der Film eingeschlossen ist; und 3) Aufteilen des Epoxidharzblocks in dünne Scheiben mithilfe eines Ultramikrotoms. Die Scheiben, die zwischen 30 nm und 10 μm dick sind, enthalten Nanostrukturen, deren laterale Abmessungen den Stärken der eingebetteten Filme entsprechen. Elektronische Anwendungen der Strukturen, die über diesen Prozess erhalten werden, finden sich in der Fertigung von Nanoelektroden für die Elektrochemie, von chemoresistenten Nanodrähten und von Heterostrukturen organischer Halbleiter. Optische Anwendungen finden sich in den Bereichen der Resonatoren für Oberflächenplasmonen, der plasmonischen Hohlleiter und den frequenzselektiven Oberflächen.
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThermal decomposition of bis(phosphine)platinum(II) metallocyclesJoseph X. McDermott, John F. White, and George M. WhitesidesCite this: J. Am. Chem. Soc. 1976, 98, 21, 6521–6528Publication Date (Print):October 1, 1976Publication History Published online1 May 2002Published inissue 1 October 1976https://pubs.acs.org/doi/10.1021/ja00437a018https://doi.org/10.1021/ja00437a018research-articleACS PublicationsRequest reuse permissionsArticle Views3524Altmetric-Citations497LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
By use of a steady state (e−iωt) dynamic elastic representation theorem for fields created by relative motions ΔU k on the faces of a crack, we reduce the problem of steady state response of an isolated three-dimensional planar crack, loaded by tractions on its surfaces, to an integral equation for ΔU k .