90, 95% confidence interval [CI] 0.65-1.26). Compared with the nonstatin cohort, the second cancer risk was significantly higher for patients taking pravastatin (aHR 2.71, 95% CI 1.19-6.19) but lower for those receiving multiple statin treatment (aHR 0.45, 95% CI 0.25-0.81) and combined lipophilic and hydrophilic type of statin (aHR 0.42, 95% CI 0.20-0.89). The risk was lower for patients receiving a cumulative defined daily dose (cDDD) of > 430 (aHR 0.41, 95% CI 0.19-0.86). This study showed that there is little association between statin use and second cancer risk in breast cancer patients. This study showed that there is little association between statin use and second cancer risk in breast cancer patients. Limited epidemiologic data are available on the expression of adipokines leptin (LEP) and adiponectin (ADIPOQ) and adipokine receptors (LEPR, ADIPOR1, ADIPOR2) in the breast tumor microenvironment (TME). The associations of gene expression of these biomarkers with tumor clinicopathology are not well understood. NanoString multiplexed assays were used to assess the gene expression levels of LEP, LEPR, ADIPOQ, ADIPOR1, and ADIPOR2 within tumor tissues among 162 Black and 55 White women with newly diagnosed breast cancer. Multivariate mixed effects models were used to estimate associations of gene expression with breast tumor clinicopathology (overall and separately among Blacks). Black race was associated with lower gene expression of LEPR (P = 0.002) and ADIPOR1 (P = 0.01). Lower LEP, LEPR, and ADIPOQ gene expression were associated with higher tumor grade (P = 0.0007, P < 0.0001, and P < 0.0001, respectively) and larger tumor size (P < 0.0001, P = 0.0005, and P < 0.0001, respectively). Lower of the adipokines and adipokine receptors in long-term breast cancer prognosis.Hyperglycemia is a feature of worse brain injury after acute ischemic stroke, but the underlying metabolic changes and the link to cytotoxic brain injury are not fully understood. In this observational study, we applied regression and machine learning classification analyses to identify metabolites associated with hyperglycemia and a neuroimaging proxy for cytotoxic brain injury. Metabolomics and lipidomics were carried out using liquid chromatography-tandem mass spectrometry in admission plasma samples from 381 patients presenting with an acute stroke. Glucose was measured by a central clinical laboratory, and a subgroup of patients (n = 201) had apparent diffusion coefficient (ADC) imaging quantified on magnetic resonance imaging (MRI) to estimate cytotoxic injury. Uric acid was the leading metabolite in univariate analysis of both hyperglycemia (OR 19.6, 95% CI 8.6-44.7, P = 1.44 × 10-12) and ADC (OR 5.3, 95% CI 2.2-13.0, P = 2.42 × 10-4). To further prioritize model features and account for non-linear correlation structure, a random forest machine learning algorithm was applied to separately model hyperglycemia and ADC. https://www.selleckchem.com/products/filgotinib.html The statistical techniques used have identified uric acid and gluconic acids as leading candidate markers common to all models (R2 = 68%, P = 2.2 × 10-10 for uric acid; R2 = 15%, P = 8.09 × 10-10 for gluconic acid). Both uric acid and gluconic acid were associated with hyperglycemia and cytotoxic brain injury. Both metabolites are linked to oxidative stress, which highlights two candidate targets for limiting brain injury after stroke.Tissue reperfusion is a serious therapeutic strategy of ischemic stroke in addition to recanalization. In this work, we aimed to establish new urokinase-based therapeutics in order to dissolve large vessel thrombus together with microthrombi for stroke implications. Formulations consisted of free urokinase (UK), polyethylene glycol-crosslinked urokinase nanogel (PEG-UK), and a 11 mixture of UK and PEG-UK (PEG-UK+UK) were tested both in vitro and in vivo. In vitro experiments confirmed the pH-dependent release of PEG-UK in the PEG-UK+UK formulation. It was activated at pH 6.50, an environmental pH in the infarct brain tissue, owing to the dynamic crosslink property of PEG-UK. In vivo tests on a thromboembolic stroke rat model showed that the formulations containing UK, i.e., free UK and PEG-UK+UK, demonstrated better neurological scores and smaller infarction volumes within the time window, in which the PEG-UK+UK formulation relatively performed better. On the other hand, the formulations containing PEG-UK, i.e., PEG-UK and PEG-UK+UK, gained sufficient thrombolytic efficiency beyond the time window. Further investigation on the mechanism revealed that PEG-UK could reduce microthrombus in distal microcirculation, and its destructive effect was also less than that of free UK. The PEG-UK+UK formulation actually provided a "dual targeting" delivery of UK to both the large vessels and the microcirculation, which was beneficial to the treatment of cerebral ischemic stroke both within and beyond the therapeutic time window. Persistent fatigue among colorectal cancer (CRC) patients might be associated with unfavorable body composition, but data are sparse and inconsistent. We studied how skeletal muscle index (SMI), skeletal muscle radiodensity (SMR), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) at diagnosis are associated with fatigue up to 24months post-diagnosis in stage I-III CRC patients. SMI, SMR, VAT, and SAT were assessed among 646 CRC patients using pre-treatment computed tomography images. Fatigue at diagnosis, at 6, and 24months post-diagnosis was assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire. The association of SMI, SMR, VAT, and SAT with fatigue (yes/no) was assessed using confounder-adjusted restricted cubic spline analyses. Prevalence of fatigue at diagnosis was 18%, at 6months 25%, and at 24months 12%. At diagnosis, a significant (p = 0.01) non-linear association of higher levels of SAT with higher prevalence of fatigue was observed. Lower levels of SMR were linearly associated with higher prevalence of fatigue at 6months post-diagnosis (overall association p = 0.02). None of the body composition parameters were significantly associated with fatigue at 24months. Having more SAT was associated with more fatigue at diagnosis, while low levels of SMR were associated with more fatigue at 6months post-diagnosis. Our results suggest that it may be interesting to investigate whether interventions that aim to increase SMR around the time of diagnosis may help to lower fatigue. However, more knowledge is needed to understand the mechanisms behind the association of SMR with fatigue. Our results suggest that it may be interesting to investigate whether interventions that aim to increase SMR around the time of diagnosis may help to lower fatigue. However, more knowledge is needed to understand the mechanisms behind the association of SMR with fatigue.