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Exposure to Secondhand Smoke and Risk of Tuberculosis: Prospective Cohort Study
Background: Prospective evidence on the association between secondhand-smoke exposure and tuberculosis is limited. Methods: We included 23,827 never smokers from two rounds (2001 and 2005) of Taiwan National Health Interview Survey. Information on exposure to secondhand smoke at home as well as other sociodemographic and behavioral factors was collected through in-person interview. The participants were prospectively followed for incidence of tuberculosis through cross-matching the survey database to the national tuberculosis registry of Taiwan. Results: A total of 85 cases of active tuberculosis were identified after a median follow-up of 7.0 years. The prevalence of exposure to secondhand smoke at home was 41.8% in the study population. In the multivariable Cox proportional hazards analysis, secondhand smoke was not associated with active tuberculosis (adjusted hazard ratio [HR], 1.03; 95% CI, 0.64 to 1.64). In the subgroup analysis, the association between secondhand smoke and tuberculosis decreased with increasing age; the adjusted HR for those = 18 and = 40 and = 60 years old was 8.48 (0.77 to 93.56), 2.29 (0.75 to 7.01), 1.33 (0.58 to 3.01), and 0.66 (0.35 to 1.23) respectively. Results from extensive sensitivity analyses suggested that potential misclassification of secondhand-smoke exposure would not substantially affect the observed associations. Conclusions: The results from this prospective cohort study did not support an overall association between secondhand smoke and tuberculosis. However, the finding that adolescents might be particularly susceptible to secondhand smoke's effect warrants further investigation
Application of 2,3-Naphthalenediamine in Labeling Natural Carbohydrates for Capillary Electrophoresis
Neutral and acidic monosaccharide components in <em>Ganoderma lucidum</em> polysaccharide are readily labeled with 2,3-naphthalenediamine, and the resulting saccharide-naphthimidazole (NAIM) derivatives are quantified by capillary electrophoresis (CE) in borate buffer. Using sulfated-α-cyclodextrin as the chiral selector, enantiomers of monosaccharide-NAIMs are resolved on CE in phosphate buffer, allowing a simultaneous determination of the absolute configuration and sugar composition in the mucilage polysaccharide of a medicinal herb<em> Dendrobium</em> <em>huoshanense</em>. Together with the specific enzymatic reactions of various glycoside hydrolases on the NAIM derivatives of glycans, the structures of natural glycans can be deduced from the digestion products identified by CE analysis. Though heparin dissachrides could be successfully derived with the NAIM-labeling method, the heparin derivatives with the same degree of sulfation could not be separated by CE
Dual Targeting of 3-Hydroxy-3-methylglutaryl Coenzyme A Reductase and Histone Deacetylase as a Therapy for Colorectal Cancer
AbstractStatins are 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase (HMGR) inhibitors decreasing serum cholesterol and have shown promise in cancer prevention. In this study, we demonstrated the oncogenic role of HMGR in colorectal cancer (CRC) by disclosing increased HMGR activity in CRC patients and its enhancement of anti-apoptosis and stemness. Our previous studies showed that statins containing carboxylic acid chains possessed activity against histone deacetylases (HDACs), and strengthened their anti-HDAC activity through designing HMGR-HDAC dual inhibitors, JMF compounds. These compounds exerted anti-cancer effect in CRC cells as well as in AOM-DSS and ApcMin/+ CRC mouse models. JMF mostly regulated the genes related to apoptosis and inflammation through genome-wide ChIP-on-chip analysis, and Ingenuity Pathways Analysis (IPA) predicted their respective regulation by NR3C1 and NF-κB. Furthermore, JMF inhibited metastasis, angiogenesis and cancer stemness, and potentiated the effect of oxaliplatin in CRC mouse models. Dual HMGR-HDAC inhibitor could be a potential treatment for CRC
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
Recently, image enhancement and restoration have become important
applications on mobile devices, such as super-resolution and image deblurring.
However, most state-of-the-art networks present extremely high computational
complexity. This makes them difficult to be deployed on mobile devices with
acceptable latency. Moreover, when deploying to different mobile devices, there
is a large latency variation due to the difference and limitation of deep
learning accelerators on mobile devices. In this paper, we conduct a search of
portable network architectures for better quality-latency trade-off across
mobile devices. We further present the effectiveness of widely used network
optimizations for image deblurring task. This paper provides comprehensive
experiments and comparisons to uncover the in-depth analysis for both latency
and image quality. Through all the above works, we demonstrate the successful
deployment of image deblurring application on mobile devices with the
acceleration of deep learning accelerators. To the best of our knowledge, this
is the first paper that addresses all the deployment issues of image deblurring
task across mobile devices. This paper provides practical
deployment-guidelines, and is adopted by the championship-winning team in NTIRE
2020 Image Deblurring Challenge on Smartphone Track.Comment: CVPR 2020 Workshop on New Trends in Image Restoration and Enhancement
(NTIRE
Near-Infrared Survey and Photometric Redshifts in the Extended GOODS-North field
We present deep and -band images in the extended Great Observatories
Origins Deep Survey-North (GOODS-N) field covering an area of 0.22
. The observations were taken using WIRCam on the 3.6-m Canada
France Hawaii Telescope (CFHT). Together with the reprocessed -band
image, the limiting AB magnitudes (in 2" diameter apertures) are
24.7, 24.2, and 24.4 AB mag in the , , and bands,
respectively. We also release a multi-band photometry and photometric redshift
catalog containing 93598 sources. For non-X-ray sources, we obtained a
photometric redshift accuracy with an outlier
fraction . For X-ray sources, which are mainly active galactic
nuclei (AGNs), we cross-matched our catalog with the updated 2M-CDFN X-ray
catalog from Xue et al. (2016) and found that 658 out of 683 X-ray sources have
counterparts. UV data are included in the photometric redshift
computation for the X-ray sources to give with
. Our approach yields more accurate photometric redshift estimates
compared to previous works in this field. In particular, by adopting AGN-galaxy
hybrid templates, our approach delivers photometric redshifts for the X-ray
counterparts with fewer outliers compared to the 3D-HST catalog, which fit
these sources with galaxy-only templates
Serotonin receptor HTR6-mediated mTORC1 signaling regulates dietary restriction-induced memory enhancement
Dietary restriction (DR; sometimes called calorie restriction) has profound beneficial effects on physiological, psychological, and behavioral outcomes in animals and in humans. We have explored the molecular mechanism of DR-induced memory enhancement and demonstrate that dietary tryptophan-a precursor amino acid for serotonin biosynthesis in the brain-and serotonin receptor 5-hydroxytryptamine receptor 6 (HTR6) are crucial in mediating this process. We show that HTR6 inactivation diminishes DR-induced neurological alterations, including reduced dendritic complexity, increased spine density, and enhanced long-term potentiation (LTP) in hippocampal neurons. Moreover, we find that HTR6-mediated mechanistic target of rapamycin complex 1 (mTORC1) signaling is involved in DR-induced memory improvement. Our results suggest that the HTR6-mediated mTORC1 pathway may function as a nutrient sensor in hippocampal neurons to couple memory performance to dietary intake
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