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2 ± 1.6 and 37.3 ± 1.7 μg/mL. The half-life (T1/2) of NI/HA-DDP-PNPs and NI/HA-DDP-LPNs was 12.03 ± 0.75 and 11.78 ± 0.89 h. Area Under Curve (AUC) of NI/HA-DDP-PNPs and NI/HA-DDP-LPNs showed no significant difference while greater than other groups. NI/HA-DDP-LPNs exhibited excellent antitumor effect against drug-resistant human lung cancer A549/DDP cells in vitro and in vivo, better than that of NI/HA-DDP-PNPs. Considering that the low toxicity of NI/HA-DDP-LPNs and NI/HA-DDP-PNPs, NI/HA-DDP-LPNs could be a more promising system for lung cancer targeted therapy. PURPOSE Epilepsy is a chronic neurological disorder that is often diagnosed in childhood and may negatively impact physical, social and psychological abilities. Most tools measuring quality of life (QoL) rely on parent/caregiver feedback rather than the child's perspective. CHEQOL-25 is a QoL tool that documents both child and caregiver perspectives across five domains. The primary objective was to determine the QoL of children living with epilepsy (CWE) using the CHEQOL-25 tool in a Kenyan paediatric population. Other objectives were to describe the correlation between the caregivers' and children's' perspectives and describe factors affecting QoL. METHOD We conducted a cross-sectional study across four sites in Nairobi. Quantitative data was collected using a self-administered CHEQOL-25 questionnaire. Caregivers and their children aged 7-15 years attending neurology clinics participated in the study. We used Kappa statistics to compare child and caregiver responses. RESULTS A total of 354 participants were interviewed (177 children and 177 caregivers). A good QoL was reported by 60.5 % of children with a similar caregiver perception of 56.5 %. Caregivers with little education and male caregivers were associated with a poor QoL (p = 0.01); other socio-demographic factors had little impact on the measured QoL of CWE. Parent and child questionnaires correlated well in terms of response in terms of interpersonal (p = 0.001) and intrapersonal (p = 0.004) domains. CONCLUSION This study demonstrated that a good quality of life was reported by the majority of CWE and their caregivers, although some factors such as a male caregiver gender and lower level of education were associated with poor QoL. Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is important to maximize the chances to delay or prevent progression to AD. Brain connectivity networks inferred from medical imaging data have been commonly used to distinguish MCI patients from normal controls (NC). However, existing methods still suffer from limited performance, and classification remains mainly based on single modality data. This paper proposes a new model to automatically diagnosing MCI (early MCI (EMCI) and late MCI (LMCI)) and its earlier stages (i.e., significant memory concern (SMC)) by combining low-rank self-calibrated functional brain networks and structural brain networks for joint multi-task learning. Specifically, we first develop a new functional brain network estimation method. We introduce data quality indicators for self-calibration, which can improve data quality while completing brain network estimation, and perform correlation analysis combined with low-rank structure. Second, functional and structural connected neuroimaging patterns are integrated into our multi-task learning model to select discriminative and informative features for fine MCI analysis. Different modalities are best suited to undertake distinct classification tasks, and similarities and differences among multiple tasks are best determined through joint learning to determine most discriminative features. The learning process is completed by non-convex regularizer, which effectively reduces the penalty bias of trace norm and approximates the original rank minimization problem. Finally, the most relevant disease features classified using a support vector machine (SVM) for MCI identification. Experimental results show that our method achieves promising performance with high classification accuracy and can effectively discriminate between different sub-stages of MCI. V.OBJECTIVE Regional cortical thinning in dementia with Lewy bodies (DLB) and Parkinson disease dementia (PDD) may underlie some aspect of their clinical impairments; cortical atrophy likely reflects extensive Lewy body pathology with alpha-synuclein deposits, as well as associated Alzheimer's disease co-pathologies, when present. Here we investigated the topographic distribution of cortical thinning in these Lewy body diseases compared to cognitively normal PD and healthy non-PD control subjects, explored the association of regional thinning with clinical features and evaluated the impact of amyloid deposition. METHODS Twenty-one participants with dementia with Lewy bodies (DLB), 16 with Parkinson disease (PD) - associated cognitive impairment (PD-MCI and PDD), and 24 cognitively normal participants with PD underwent MRI, PiB PET, and clinical evaluation. Cortical thickness across the brain and in regions of interest (ROIs) was compared across diagnostic groups and across subgroups stratified by amyloid statusher the distinct topography of cortical thinning in DLB and PD-associated cognitive impairment might have value as a diagnostic and/ or outcome biomarker in clinical trials. BACKGROUND We aimed to investigate the role of angiopoietin (Angpt) as a predictive biomarker for sepsis by evaluating associations between plasma Angpt and various inflammatory cytokines and mortality in critically ill patients with sepsis. METHODS This study was a retrospective cohort study of the prospectively collected samples and clinical data of 145 patients with sepsis who were admitted to the medical intensive care unit (ICU) of a 2000-bed university tertiary referral hospital in South Korea. We collected plasma within 24&nbsp;h of medical ICU admission, and several biomarkers (Angpt-1 and -2, Tie2, vascular endothelial growth factor, interleukin (IL)-1β, IL-10, IL-18, IL-6, interferon gamma-induced protein-10, and tumor necrosis factor-α) were measured using a Human Magnetic Luminex Screening Assay kit. RESULTS Plasma Angpt-2 was correlated with IL-6 (rs&nbsp;=&nbsp;0.555) and tumor necrosis factor-α (rs&nbsp;=&nbsp;0.559). Plasma Angpt-2 (rs&nbsp;=&nbsp;0.530) and Angpt-2/1 (rs&nbsp;=&nbsp;0.562) were correlated with the Sequential Organ Failure Assessment (SOFA) score. The area under the curve (AUC) for the 28-day mortality prediction for the plasma Angpt-2/1 ratio was 0.736; AUCs for the Acute Physiology and Chronic Health Evaluation II (APACHE II) and SOFA scores were 0.659 and 0.745, respectively. Using multivariate Cox proportional hazard regression analysis for 28-day mortality, we found that acute respiratory distress syndrome (hazard ratio (HR)&nbsp;=&nbsp;2.235, 95% CI&nbsp;=&nbsp;1.163-4.296,p&nbsp;=&nbsp;0.016), APACHE II score (HR&nbsp;=&nbsp;1.127, 95% CI&nbsp;=&nbsp;1.037-1.224,p&nbsp;=&nbsp;0.005), and Angpt-2/1&nbsp;&gt;&nbsp;3.2 (HR&nbsp;=&nbsp;2.522, 95% CI&nbsp;=&nbsp;1.205-5.278,p&nbsp;=&nbsp;0.014) were risk factors for 28-day mortality. CONCLUSIONS Plasma Angpt-2 was related to cytokines, but Angpt-2/1 ratio was a good predictor of 28-day mortality in patients with sepsis. Melanoidins are an important component of the human diet (average consumption 10&nbsp;g/day), which escape gastrointestinal digestion and are fermented by the gut microbiota. In this study melanoidins from different food sources (coffee, bread, beer, balsamic vinegar, sweet wine, biscuit, chocolate, and breakfast cereals) were submitted to an in vitro digestion and fermentation process, and their bioactivity was assessed. Some melanoidins were extensively used by gut microbes, increasing production of short chain fatty acids (mainly acetate and lactate) and favoring growth of the beneficial genera Bifidobacterium (bread crust, pilsner and black beers, chocolate and sweet wine melanoidins) and Faecalibacterium (biscuit melanoidins). Quantification of individual phenolic compounds after in vitro fermentation allowed their identification as microbial metabolites or phenolics released from the melanoidins backbone (specially pyrogallol, 2-(3,4-dihydroxyphenyl)acetic and 3-(3,4-dihydroxyphenyl)propionic acids). Our results also showed that antioxidant capacity of melanoidins is affected by gut microbiota fermentation. The aim of this work was to improve the antioxidant quality of cookies using defatted chia flour (DCF), which is a by-|product of the food industry. We prepared cookies containing DFC (5, 10 and 20%), and evaluated the technological and sensory qualities of cookies. Additionally, we verified the effects of processing and simulated gastrointestinal digestion on polyphenols content. The addition of DFC did not affect the technological quality of cookies, with the exception of color. Furthermore, cookies supplemented with 10% DFC were sensorial preferred over the others. The addition of DFC increased the polyphenol content and the in vitro antioxidant capacity of cookies. Besides, the simulated gastrointestinal digestion suggested that 73% of total polyphenols could be absorbed in the intestine, showing an antioxidant effect greater than expected, also showing prebiotic effects. Supplementation of cookies with 10% DFC could be recommended to improve antioxidant quality without reducing the technological or sensorial properties. Silica particles can cause a systemic disease in workers termed lung silicosis, characterized by diffuse fibrosis. The development of lung silicosis involves various signaling pathway networks comprising numerous cell types and cytokines. As an important medium for communication between cells, exosomes have emerged as a hot research topic; however, the role of exosomal microRNAs (miRNAs) in silicosis remains unclear. In this study, we conducted high-throughput sequencing to generate exosomal miRNAs profiles from macrophages that were either exposed to silica or not. A total of 298 miRNAs were differentially expressed, with 155 up-regulated and 143 down-regulated. Highly conserved differentially expressed miRNAs were functionally annotated and analyzed to predict target genes. Among target interactions associated with the TGF-β signaling pathway, miR-125a-5p and its putative target gene, Smurf1, were subjected to further research. As expected, levels of miR-125a-5p were upregulated in human serous exosomes and vitro, and inhibit the exosomal miR-125a-5p suppressed the expression of the fibrosis hallmarks. Besides, high levels of the miRNA led to upregulation of smooth muscle actin alpha and repression of Smurf1 in NIH-3T3 and MRC-5&nbsp;cells. ID1 and SMAD1, downstream of TGF-β signaling, were upregulated, indicating potential activation of this signaling pathway. These results contribute to understanding of the intercellular communication mediated by exosomal miRNAs and its critical role in fibroblast to myofibroblast transition and silicosis. The mineralization of organic pollutants under visible light is challenging, limiting the practical application of photocatalytic technology in wastewater treatment. To achieve the efficient mineralization of Acid red 3R (AR3R), a series of honeycombed catalysts (TiO2, C-TiO2-X, Au@TiO2 and Au@C-TiO2-X) were prepared via a facile in situ synthetic method and characterized by XRD, TEM, BET, XPS and DRS, respectively. [https://www.selleckchem.com/products/avotaciclib-trihydrochloride.html Avotaciclib] The introduction of C and Au species promote the simultaneous generation of •O2- and •OH over Au@C-TiO2-X under visible light radiation. The Au@C-TiO2-X catalyst showed superior performance for the deep mineralization of AR3R, affording a TOC removal rate larger than 90 % within 240 min under visible light (&gt; 420 nm). The photocatalytic degradation mechanism of AR3R is proposed according to UV-vis and in situ DRIFTS analysis. The superior photocatalytic activity of Au@C-TiO2-X is attributed to the synergistic effect of •O2- and •OH owing to C doping and Au deposition.