Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction.

Cone Beam Computed Tomography (CBCT) plays a vital role in clinical imaging. Traditional methods typically require hundreds of 2D X-ray projections to reconstruct a high-quality 3D CBCT image, leading to considerable radiation exposure. This has led to a growing interest in sparse-view CBCT reconstruction to reduce radiation doses. While recent advances, including deep learning and neural rendering algorithms, have made strides in this area, these methods either produce unsatisfactory results or suffer from time inefficiency of individual optimization. In this paper, we introduce a novel geometry-aware encoder-decoder framework to solve this problem. Our framework starts by encoding multi-view 2D features from various 2D X-ray projections with a 2D CNN encoder. Leveraging the geometry of CBCT scanning, it then back-projects the multi-view 2D features into the 3D space to formulate a comprehensive volumetric feature map, followed by a 3D CNN decoder to recover 3D CBCT image. Importantly, our approach respects the geometric relationship between 3D CBCT image and its 2D X-ray projections during feature back projection stage, and enjoys the prior knowledge learned from the data population. This ensures its adaptability in dealing with extremely sparse view inputs without individual training, such as scenarios with only 5 or 10 X-ray projections. Extensive evaluations on two simulated datasets and one real-world dataset demonstrate exceptional reconstruction quality and time efficiency of our method.

The risk factors determined by four machine learning methods for the change of difference of bone mineral density in post-menopausal women after three years follow-up.

The prevalence of osteoporosis has drastically increased recently. It is not only the most frequent but is also a major global public health problem due to its high morbidity. There are many risk factors associated with osteoporosis were identified. However, most studies have used the traditional multiple linear regression (MLR) to explore their relationships. Recently, machine learning (Mach-L) has become a new modality for data analysis because it enables machine to learn from past data or experiences without being explicitly programmed and could capture nonlinear relationships better. These methods have the potential to outperform conventional MLR in disease prediction. In the present study, we enrolled a Chinese post-menopause cohort followed up for 4 years. The difference of T-score (δ-T score) was the dependent variable. Information such as demographic, biochemistry and life styles were the independent variables. Our goals were: (1) Compare the prediction accuracy between Mach-L and traditional MLR for δ-T score. (2) Rank the importance of risk factors (independent variables) for prediction of δ T-score. Totally, there were 1698 postmenopausal women were enrolled from MJ Health Database. Four different Mach-L methods namely, Random forest (RF), eXtreme Gradient Boosting (XGBoost), Naïve Bayes (NB), and stochastic gradient boosting (SGB), to construct predictive models for predicting δ-BMD after four years follow-up. The dataset was then randomly divided into an 80% training dataset for model building and a 20% testing dataset for model testing. A 10-fold cross-validation technique for hyperparameter tuning was used. The model with the lowest root mean square error for the validation dataset was viewed as the best model for each ML method. The averaged metrics of the RF, SGB, NB, and XGBoost models were used to compare the model performance of the benchmark MLR model that used the same training and testing dataset as the Mach-L methods. We defined that the priority demonstrated in each model ranked 1 as the most critical risk factor and 22 as the last selected risk factor. For Pearson correlation, age, education, BMI, HDL-C, and TSH were positively and plasma calcium level, and baseline T-score were negatively correlated with δ-T score. All four Mach-L methods yielded lower prediction errors than the MLR method and were all convincing Mach-L models. From our results, it could be noted that education level is the most important factor for δ-T Score, followed by DBP, smoking, SBP, UA, age, and LDL-C. All four Mach-L outperformed traditional MLR. By using Mach-L, the most important six risk factors were selected which are, from the most important to the least: DBP, SBP, UA, education level, TG and sleeping hour. δ T score was positively related to SBP, education level, UA and TG and negatively related to DBP and sleeping hour in postmenopausal Chinese women.

Risk of de novo HCC in patients with MASLD following direct-acting antiviral-induced cure of HCV infection.

BACKGROUND & AIMS: Data are limited on the risk of de novo hepatocellular carcinoma (HCC) in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) after achieving sustained virologic response (SVR12) using direct-acting antivirals (DAAs) for hepatitis C virus (HCV). METHODS: 1598 eligible patients received biannual alpha-fetoprotein (AFP) and liver imaging surveillance to detect de novo HCC beyond achieving SVR12. MASLD was defined as presence of controlled attenuation parameter (CAP) ≥ 248 dB/m and ≥ one cardiometabolic risk factor (CMRF). Cumulative HCC incidence was compared between patients with/without MASLD. We built univariable and multivariable Cox proportional hazards models to evaluate factors associated with HCC. Sensitivity analysis was performed using the Fine-Gray subdistribution hazards model. Additionally, we evaluated the mediation effect of MASLD on CMRFs and of CMRFs on MASLD for HCC using mediation analysis with bootstrapping. RESULTS: The incidence rate of HCC was 1.44 per 100 person-years of follow-up (PYFU) [95% confidence interval (CI): 1.19-1.74]. Patients with MASLD had a higher cumulative HCC incidence than those without MASLD (log-rank test, p < 0.001). Multivariable Cox regression analysis revealed that in addition to age, sex, LSM, platelet count, and AFP, MASLD (adjusted hazard ratio (aHR): 2.07 [95% CI:1.36-3.16], p < 0.001) was independently associated with HCC. This finding was confirmed by the Fine-Gray model, which showed a subdistribution HR (sHR) of 2.07 (95% CI: 1.34-3.19, p < 0.001) for MASLD. MASLD significantly mediated CMRFs for HCC development. CONCLUSION: After achieving SVR12, patients with MASLD exhibited an increased HCC risk compared to those without MASLD. Vigilant HCC surveillance and control of CMRFs to mitigate the effect MASLD on HCC remain crucial for this population. IMPACT AND IMPLICATIONS: The risk of de novo HCC among patients with MASLD, a novel nomenclature of steatotic liver disease (SLD), after the attaining of SVR12 using DAAs remains to be confirmed. In this study recruiting 1598 patients in Taiwan, individuals with MASLD exhibited approximately a two-fold increased risk of de novo HCC, compared to those without MASLD after achieving SVR12. MASLD significantly mediated CMRFs for HCC development. Our findings underscore the critical importance of pharmacological interventions and proactive lifestyle modifications to control CMRFs in patients with MASLD, as well as the need for vigilant HCC surveillance to ensure favorable outcomes following HCV eradication.

Challenges and resilience of Taiwan's oral health care system after Covid-19 pandemic.

This paper examines the resilience of Taiwan's oral healthcare system in response to COVID-19, focusing on pre-pandemic conditions, pandemic impacts, and policy recommendations for future resilience. In Taiwan, oral diseases were prevalent, with 80.48% of adults affected by periodontitis in 2016, and 65.43% of 5-year-old children experiencing dental caries. Taiwan's National Health Insurance (NHI) covers over 99% of the population, providing comprehensive dental care. The global budget (GB) payment system, implemented in 1998, ensured financial stability. During the pandemic, dental visits in Taiwan decreased by 5.1% in 2021 compared to 2019. Despite reduced visits, the GB system maintained financial stability, mitigating financial impacts on healthcare institutions. The pandemic generally negatively affected healthcare workers' well-being, increasing resignation intentions. However, the number of practicing dentists in Taiwan remained stable from 2016 to 2022, with slight increases. Urban-rural disparities persisted, and workplace transitions increased, indicating greater mobility among dental professionals. To enhance resilience, the following recommendations are proposed: 1. Strengthen hierarchy of oral healthcare system: Balance dental resources across regions, and improve referrals between hospital and clinics; 2. Provide integrated patient-centered care: Integrate oral health into disease prevention and offer comprehensive services across all stages of life; 3. Integrate digital technology: Promote teledentistry and leverage Taiwan's strengths in information and communication technology (ICT).

A systematic review of environmental covariates and methods for spatial or temporal scrub typhus distribution prediction.

BACKGROUND: Scrub typhus is underdiagnosed and underreported but emerging as a global public health problem. To inform future burden and prediction studies we examined through a systematic review the potential effect of environmental covariates on scrub typhus occurrence and the methods which have been used for its prediction. METHODS: In this systematic review, we searched PubMed, Scopus, Web of Science, China National Knowledge Infrastructure and other databases, with no language and publication time restrictions, for studies that investigated environmental covariates or utilized methods to predict the spatial or temporal human. Data were manually extracted following a set of queries and systematic analysis was conducted. RESULTS: We included 68 articles published in 1978-2024 with relevant data from 7 countries/regions. Significant environmental risk factors for scrub typhus include temperature (showing positive or inverted-U relationships), precipitation (with positive or inverted-U patterns), humidity (exhibiting complex positive, inverted-U, or W-shaped associations), sunshine duration (with positive, inverted-U associations), elevation, the normalized difference vegetation index (NDVI), and the proportion of cropland. Socioeconomic and biological factors were rarely explored. Autoregressive Integrated Moving Average (ARIMA) (n = 8) and ecological niche modelling (ENM) approach (n = 11) were the most popular methods for predicting temporal trends and spatial distribution of scrub typhus, respectively. CONCLUSIONS: Our findings summarized the evidence on environmental covariates affecting scrub typhus occurrence and the methodologies used for predictive modelling. We review the existing knowledge gaps and outline recommendations for future studies modelling disease prediction and burden. TRIAL REGISTRATION: PROSPERO CRD42022315209.

Brown adipose tissue-derived exosomes improve polycystic ovary syndrome in mice via STAT3/GPX4 signaling pathway.

Polycystic ovary syndrome (PCOS) is associated with impaired adipose tissue physiology. Elevated brown adipose tissue (BAT) mass or activity has shown potential in the treatment of PCOS. In this study, we aimed to investigate whether BAT-derived exosomes (BAT-Exos), as potential biomarkers of BAT activity, exert similar benefits as BAT in the treatment of PCOS. PCOS was induced in female C57BL/6J mice orally administered 1 mg/kg of letrozole for 21 days. Subsequently, the animals underwent transplantation with BAT or administered BAT-Exos (200 µg) isolated from young healthy mice via the tail vein; healthy female mice were used as controls. The results indicate that BAT-Exos treatment significantly reduced body weight and improved insulin resistance in PCOS mice. In addition, BAT-Exos improved ovulation function by reversing the acyclicity of the estrous cycle, decreasing circulating luteinizing hormone and testosterone, recovering ovarian performance, and improving oocyte quality, leading to a higher pregnancy rate and litter size. Furthermore, western blotting revealed reduced expression of signal transducer and activator of transcription 3 (STAT3) and increased expression of glutathione peroxidase 4 (GPX4) in the ovaries of mice in the BAT-Exos group. To further explore the role of the STAT3/GPX4 signaling pathway in PCOS mice, we treated the mice with an intraperitoneal injection of 5 mg/kg stattic, a STAT3 inhibitor. Consistent with BAT-Exos treatment, the administration of stattic rescued letrozole-induced PCOS phenotypes. These findings suggest that BAT-Exos treatment might be a potential therapeutic strategy for PCOS and that the STAT3/GPX4 signaling pathway is a critical therapeutic target for PCOS.

Augmentation with prazosin for patients with depression and a history of trauma: A randomised, double-blind, placebo-controlled study.

INTRODUCTION: Depression with a history of trauma often responds poorly to conventional antidepressants and has a poor prognosis. Prazosin, an α1-adrenoceptor blocker, has shown promise in treating post-traumatic stress disorder symptoms, particularly nightmares. Its potential in treating depression with trauma history warrants investigation. AIMS OF THE STUDY: This randomised, double-blind, placebo-controlled study aimed to investigate the efficacy and tolerability of low-dose prazosin (0.5-1 mg/day) as an augmentation strategy in patients with depression and a history of trauma. We sought to determine if prazosin could provide rapid symptom improvement and enhance overall treatment response compared to placebo in this difficult-to-treat patient population. METHODS: This randomised, double-blind, placebo-controlled clinical study included 59 patients with first-episode or recurrent unipolar or bipolar depression. After basic antidepressant treatment, they were randomly assigned to a prazosin (0.5-1 mg/day) or placebo group for a 6-week double-blind controlled study. The Montgomery-Åsberg Depression Rating Scale, 17-item Hamilton Depression Scale (HAMD-17), and Hamilton Anxiety Scale (HAMA) were used to evaluate efficacy. RESULTS: There were no significant differences in the results of the demographic and clinical symptom assessment between the two groups (p > 0.05). The difference between the HAMD-17 and HAMA scores was statistically significant after 3 days of treatment (p < 0.05). The difference in response rate between the two groups was statistically significant after week 4 of treatment (end of week 4, 56.7% vs. 24.1%, p = 0.011; end of week 6, 80.0% vs. 48.3%, p = 0.011). The incidence of adverse reactions in the prazosin and placebo groups was 20.0% and 24.1%, respectively, with no statistically significant differences (p > 0.05); however, the prazosin group had a lower incidence of sleeplessness or nightmares (3.3% vs. 20.7%, p = 0.039) but a higher incidence of orthostatic hypotension (16.7% vs. 0%, p = 0.007). The severity of orthostatic hypotension was mild to moderate. CONCLUSION: Low-dose prazosin can effectively improve the emotional symptoms of patients with depression and a history of trauma, and the common adverse reaction is mild-to-moderate orthostatic hypotension. CLINICAL TRIAL REGISTRATION: ChiCTR2200063642.

Febuxostat leads to better cardiovascular outcomes compared to allopurinol in patients with advanced chronic kidney disease: A Population-based Cohort Study.

OBJECTIVE: Hyperuricemia is a risk factor for cardiovascular disease complications in patients with chronic kidney disease. The impact of febuxostat on cardiovascular disease in advanced chronic kidney disease remains unclear. This study aimed to explore the cardiovascular benefits of xanthine oxidase inhibitors, particularly febuxostat and allopurinol, in patients with advanced chronic kidney disease. METHODS: A retrospective population-based cohort study was conducted using data from Taiwan's National Health Insurance Research Database (NHIRD) (2006-2017). The TriNetX dataset served as an external validation dataset. The study involved 13,187 patients with advanced chronic kidney disease treated with febuxostat or allopurinol. After propensity score matching, a balanced cohort of 976 patients (488 in each arm) was created. Hazard ratios (HRs) were calculated for all-cause mortality and hospitalizations, utilizing the competing risk regression model. RESULTS: Febuxostat was associated with lower all-cause mortality (HR, 0.79; 95% confidence interval [CI], 0.64-0.98) and fewer hospitalizations (HR, 0.53; 95% CI, 0.44-0.63) than allopurinol. After adjustments, febuxostat also reduced hospitalizations for heart failure (HR, 0.59; 95% CI, 0.43-0.80) and infection (HR, 0.65; 95% CI, 0.52-0.82). This cardiovascular benefit of febuxostat was consistently observed in the TriNetX dataset. Moreover, subgroup analysis revealed that febuxostat was better in reducing death and heart failure events than allopurinol across most of the subgroups. CONCLUSIONS: Febuxostat may confer cardioprotective effects in patients with advanced chronic kidney disease compared with allopurinol, thereby potentially useful in reducing cardiovascular risks in this high-risk population.

Ultrathin near-infrared transmitting films enabled by deprotonation-induced intramolecular charge transfer of a dopant.

Near-infrared transparent films demonstrate important applications in many fields, but how to eliminate light interference from ultraviolet-visible region and how to tackle the trade-off effect between film thickness and transmittance remain as challenges. Herein, we report a near-infrared transparent film that achieves high-efficient combination of thin thickness (16 µm), suitable cut-off wavelength (890 nm), and ideal transmittance (TNIR > 90%, TVis < 1%). Moreover, the film is photo-chemically stable, heating resistance and moisture insensitive. The key component of the film is a complex of a specially designed boron compound containing a perylene monoimide unit (PMI-CBN) with an organic base 1,8-diazabicyclo[5,4,0]undec-7-ene. The complex depicts red-shifted absorption from 709 to 943 nm owing to deprotonation of the N-H group of PMI-CBN. Dispersion of the complex in polymethyl methacrylate results in the high-performance film. As demos, the film is successfully used for night vision imaging and information encryption.

Activation of the Nrf2/Keap1 signaling pathway mediates the neuroprotective effect of Perillyl alcohol against cerebral hypoxic-ischemic damage in neonatal rats.

Neonatal hypoxic-ischemic encephalopathy (HIE) is a severe disease with a poor prognosis, whose clinical treatment is still limited to therapeutic hypothermia with limited efficacy. Perillyl alcohol (POH), a natural monoterpene found in various plant essential oils, has shown neuroprotective properties, though its effects on HIE are not well understood. This study investigates the neuroprotective effects of POH on HIE both in vitro and in vivo. We established an in vitro model using glucose deprivation and hypoxia/reperfusion (OGD/R) in PC12 cells, alongside an in vivo model via the modified Rice-Vannucci method. Results indicated that POH acted as an indirect antioxidant, reducing inducible nitric oxide synthase and malondialdehyde production, maintaining content of antioxidant molecules and enzymes in OGD/R-induced PC12 cells. In vivo, POH remarkably lessened infarct volume, reduced cerebral edema, accelerated tissue regeneration, and blocked reactive astrogliosis after hypoxic-ischemic brain injury. POH exerted antiapoptotic activities through both the intrinsic and extrinsic apoptotic pathways. Mechanistically, POH activated Nrf2 and inactivated its negative regulator Keap1. The use of ML385, a Nrf2 inhibitor, reversed these effects. Overall, POH mitigates neuronal damage in HIE by combating oxidative stress, reducing inflammation, and inhibiting apoptosis via the Nrf2/Keap1 pathway, suggesting its potential for HIE treatment.

Interfacially Fabricated Covalent Organic Framework Membranes for Film-based Fluorescence Humidity Sensors and Moisture Driven Actuators.

Rapid, on-site measurement of ppm-level humidity in real time remains a challenge. In this work, we fabricated a few micrometer thick, ß-ketoenamine-linked covalent organic framework (COF) membrane via interfacially confined condensation of 1,3,5-tris-(4-aminophenyl)triazine (TTA) with 1,3,5-tri-formylphloroglucinol (TP). Based on the super-sensitive and reversible response of the COF membrane to water vapor, we developed a high-performance film-based fluorescence humidity sensor, depicting unprecedented detection limit of 0.005 ppm, fast response/recovery (2.2 s/2.0 s), and a detection range from 0.005 to 100 ppm. Remarkably, more than 7,000-time continuous tests showed no observable change in the performance of the sensor. The applicability of the sensor was verified by on-site and real-time monitoring of humidity in a glovebox. The superior performance of the sensor was ascribed to the highly porous structure and unique affinity of the COF membrane to water molecules as they enable fast mass transfer and efficient utilization of the water binding sites. Moreover, based on the remarkable moisture driven deformation of the COF membrane and its composition with the known polyimide films, some conceptual actuators were created. This study brings new ideas to the design of ultra-sensitive film-based fluorescent sensors (FFSs) and high-performance actuators.

Changes in insulin utilization in China from 2020 to 2022.

AIM: To assess the variation in patterns of use of insulin and other antidiabetic medicines across China, both geographically and over time. MATERIALS AND METHODS: Nationally, we calculated the relative change in antidiabetic medicine purchases between the first and last quarters of 2020 through 2022 based on the number of defined daily doses procured per quarter. We used annual data to analyse differences in antidiabetic medicine use and patterns across seven regions of China. Considering large regional variations, we used multifactor linear regression to preliminarily explore the possible factors influencing this variation. RESULTS: Nationally, the procurement of antidiabetic medicines and insulin increased from 2020 to 2022, while the proportion of insulin among antidiabetic medicines remained stable at approximately 22%. Among all insulins, premixed insulin (human) was ranked first. Of the three subgroups of insulin, analogues were the most preferred and had the largest procurement, but different categories showed different trends in terms of purchases and proporation. Regionally, the growth rate of antidiabetic medicines, the proportion of insulin procurement and the preferred types of insulin across the seven regions were different. Regarding preliminary influencing factors, the level of education and owning a domestically funded producer had a positive effect on insulin procurement. CONCLUSIONS: From 2020 to 2022, the procurement of insulin increased, which may be due to the increased attention for diabetes from the country and residents.However, the proportion of insulin among all antidiabetic medicines was essentially unchanged, while the use of some non-insulin hypoglycemic drugs increased significantly, especially the SGLT2i and GLP-1 RA. Given the economic and cultural diversity, Insulin procurement and utilization patterns varied greatly across the regions. Owning domestic enterprises potentially influences the procurement of insulin. Enhancing education to further improve the self-management of patients with diabetes is essential.

DCS, a novel classifier system based on disulfidptosis reveals tumor microenvironment heterogeneity and guides frontline therapy for clear cell renal carcinoma.

Background: Emerging evidence suggests that cell deaths are involved in tumorigenesis and progression, which may be treated as a novel direction of cancers. Recently, a novel type of programmed cell death, disulfidptosis, was discovered. However, the detailed biological and clinical impact of disulfidptosis and related regulators remains largely unknown. Methods: In this work, we first enrolled pancancer datasets and performed multi-omics analysis, including gene expression, DNA methylation, copy number variation and single nucleic variation profiles. Then we deciphered the biological implication of disulfidptosis in clear cell renal cell carcinoma (ccRCC) by machine learning. Finally, a novel agent targeting at disulfidptosis in ccRCC was identified and verified. Results: We found that disulfidptosis regulators were dysregulated among cancers, which could be explained by aberrant DNA methylation and genomic mutation events. Disulfidptosis scores were depressed among cancers and negatively correlated with epithelial mesenchymal transition. Disulfidptosis regulators could satisfactorily stratify risk subgroups in ccRCC, and a novel subtype, DCS3, owning with disulfidptosis depression, insensitivity to immune therapy and aberrant genome instability were identified and verified. Moreover, treating DCS3 with NU1025 could significantly inhibit ccRCC malignancy. Conclusion: This work provided a better understanding of disulfidptosis in cancers and new insights into individual management based on disulfidptosis.

Safety evaluation of extracorporeal shockwave lithotripsy for pancreatic stones: Experience based on a large chronic pancreatitis cohort.

BACKGROUND: The safety of extracorporeal shock wave lithotripsy for pancreatic stones (P-ESWL) and adverse events were not evaluated and classified within large sample population. This study aimed to evaluate the safety and classify the adverse events of P-ESWL based on a large sample cohort. METHODS: This is an observational study based on the large prospective chronic pancreatitis (CP) cohort. Patients with painful pancreatic stones over 5 mm who underwent P-ESWL between March 2011 and June 2018 at Shanghai Changhai Hospital were included. Adverse events after P-ESWL including complications and transient adverse events (TAEs) were recorded. Risk factors of adverse events were analyzed through univariable and multivariable logistics regression analysis. Sensitivity analysis was conducted to test the stability of the study. RESULTS: Totally 2,071 patients underwent 5,002 sessions of P-ESWL were included. The overall complication rate and TAEs rate after all P-ESWL procedures were 5.2% and 20.9%. The complications and TAEs rate decreased obviously within the first 6 sessions. Several independent risk factors for adverse events after P-ESWL were identified. Sensitivity analysis suggested the stability of the results. CONCLUSIONS: P-ESWL is a safe treatment for pancreatic stones. Multiple P-ESWL sessions did not increase the complications and TAEs rate. ClincialTrials.gov number, NCT05916547.

Clinical application of prone position to suppress respiratory movement artifacts in supine position during magnetic resonance cholangiopancreatography/MRI.

PURPOSE: To compare the image quality of magnetic resonance cholangiopancreatography (MRCP) in the supine position and prone position under the conditions of the same equipment, the same sequence (3D Navigator Triggered Sampling Perfection with Application-Optimized Contrast Using Different Flip-angle Evolutions, 3D-NT-SPACE) and the same patient, and to explore the clinical application value of prone position in MRCP examination to suppress respiratory motion artifacts. METHODS: 53 participants who underwent MRCP in our hospital from April 2020 to August 2022 were prospectively collected. The 3D-NT-SPACE sequence was used in these patients. The visibility of the common bile duct, common hepatic duct, main pancreatic duct, and first- and second- and third-level branches of the intrahepatic bile duct and the comfort of the participants in two positions were subjective-evaluated. The Signal-to-noise ratio (SNR) and contrast-to-noise ratio were objective-evaluated. Statistical analysis was performed using Shapiro-Wilk, Levene's, Mann Whitney U test, Pearson chi-square test, and one-sample chi-square test. RESULTS: 53 patients (51.92 years ± 2.02, 20 men) were evaluated. There were significant differences in the second- and third-level branches visibility score, the main pancreatic duct visibility score, the image quality score of the pancreaticobiliary tree, the blur and motion artifact score, the total image quality score, and SNR between the two positions (p < 0.05). CONCLUSIONS: The overall image quality of the prone position was better than that of the supine position. The prone position is a useful complement to the supine position.

Mechanochemical "Cage-on-MOF" Strategy for Enhancing Gas Adsorption and Separation through Aperture Matching.

Post-modification of porous materials with molecular modulators has emerged as a well-established strategy for improving gas adsorption and separation. However, a notable challenge lies in maintaining porosity and the limited applicability of the current method. In this study, we employed the mechanochemical "Cage-on-MOF" strategy, utilizing porous coordination cages (PCCs) with intrinsic pores and apertures as surface modulators to improve the gas adsorption and separation properties of the parent MOFs. We demonstrated the fast and facile preparation of 28 distinct MOF@PCC composites by combining 7 MOFs with 4 PCCs with varying aperture sizes and exposed functional groups through a mechanochemical reaction in 5 mins. Only the combinations of PCCs and MOFs with closely matched aperture sizes exhibited enhanced gas adsorption and separation performance. Specifically, MOF-808@PCC-4 exhibited a significantly increased C2H2 uptake (+64%) and a longer CO2/C2H2 separation retention time (+40%). MIL-101@PCC-4 achieved a substantial C2H2 adsorption capacity of 6.11 mmol/g. This work not only highlights the broad applicability of the mechanochemical "Cage-on-MOF" strategy for the functionalization of a wide range of MOFs but also establishes potential design principles for the development of hybrid porous materials with enhanced gas adsorption and separation capabilities, along with promising applications in catalysis and intracellular delivery.

Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study.

Background: Controlling saturated fat and cholesterol intake is important for the prevention of cardiovascular diseases. Although the use of mobile diet-tracking apps has been increasing, the reliability of nutrition apps in tracking saturated fats and cholesterol across different nations remains underexplored. Objective: This study aimed to examine the reliability and consistency of nutrition apps focusing on saturated fat and cholesterol intake across different national contexts. The study focused on 3 key concerns: data omission, inconsistency (variability) of saturated fat and cholesterol values within an app, and the reliability of commercial apps across different national contexts. Methods: Nutrient data from 4 consumer-grade apps (COFIT, MyFitnessPal-Chinese, MyFitnessPal-English, and LoseIt!) and an academic app (Formosa FoodApp) were compared against 2 national reference databases (US Department of Agriculture [USDA]-Food and Nutrient Database for Dietary Studies [FNDDS] and Taiwan Food Composition Database [FCD]). Percentages of missing nutrients were recorded, and coefficients of variation were used to compute data inconsistencies. One-way ANOVAs were used to examine differences among apps, and paired 2-tailed t tests were used to compare the apps to national reference data. The reliability across different national contexts was investigated by comparing the Chinese and English versions of MyFitnessPal with the USDA-FNDDS and Taiwan FCD. Results: Across the 5 apps, 836 food codes from 42 items were analyzed. Four apps, including COFIT, MyFitnessPal-Chinese, MyFitnessPal-English, and LoseIt!, significantly underestimated saturated fats, with errors ranging from -13.8% to -40.3% (all P<.05). All apps underestimated cholesterol, with errors ranging from -26.3% to -60.3% (all P<.05). COFIT omitted 47% of saturated fat data, and MyFitnessPal-Chinese missed 62% of cholesterol data. The coefficients of variation of beef, chicken, and seafood ranged from 78% to 145%, from 74% to 112%, and from 97% to 124% across MyFitnessPal-Chinese, MyFitnessPal-English, and LoseIt!, respectively, indicating a high variability in saturated fats across different food groups. Similarly, cholesterol variability was consistently high in dairy (71%-118%) and prepackaged foods (84%-118%) across all selected apps. When examining the reliability of MyFitnessPal across different national contexts, errors in MyFitnessPal were consistent across different national FCDs (USDA-FNDSS and Taiwan FCD). Regardless of the FCDs used as a reference, these errors persisted to be statistically significant, indicating that the app's core database is the source of the problems rather than just mismatches or variances in external FCDs. Conclusions: The findings reveal substantial inaccuracies and inconsistencies in diet-tracking apps' reporting of saturated fats and cholesterol. These issues raise concerns for the effectiveness of using consumer-grade nutrition apps in cardiovascular disease prevention across different national contexts and within the apps themselves.

Multicolor Emission in o-Carborane Derivatives Induced by Conformation Diversity through C-C Double Bond Substitution.

Rationally designed molecules with versatile conformations are ideal candidates for creating challenging single component-based multicolor emissive materials. Herein, a new strategy is presented by introducing a C-C double bond in an o-carborane derivative. Compared to a linear connection using a C-C triple bond (CbPyY), a C-C double bond connection (CbPyE) exhibited a zigzag structure and unique fluorescence behavior. Yellow, yellowish orange, and red crystals or films of CbPyE can be obtained, while only orange ones of CbPyY were achieved under the same condition. Single crystal XRD and theoretical calculation studies revealed the zigzag structure brings asymmetry to one arm of CbPyE, which causes conformation diversity and leads to the multicolor emission. Interestingly, different emissions showed different responses to acetone vapor; the yellow one showed much higher sensitivity and faster response than the other two. It is believed that the prepared materials and the proposed strategy would contribute to future advances in single-fluorophore-based multicolor emissive materials.

Responses of ecosystem service trade-offs and synergies in Guangfo Metropolitan Area to multidimensional expansion of urban space.

Understanding the responses of ecosystem service trade-offs and synergies in metropolitan areas to the multidimensional expansion of urban space is of great significance for the optimization of regional land spatial pattern and high-quality development. With the Guangfo Metropolitan Area as research region, we used land use data and natural ecological environment data from 2000 to 2020 to measure the expansion characteristics of urban space in the dimensions of scale, distribution, and morphology by using the landscape pattern indices. We further calculated four main ecosystem services: urban cooling, habitat quality, recreation, and water conservation by the InVEST model, quantified the trade-off and synergistic relationship of multiple ecosystem services by the coupling coordination degree model, and explored its response to multidimensional urban spatial expansion by using the multi-scale geographically weighted regression model. The results showed that urban land use scale in the Guangfo Metropolitan Area continued to increase from 2000 to 2020, with an accelerated growth rate from 2010 to 2020. The ave-rage patch area of urban land in the central area and the urban land of small patches in the northeast increased, evolving from a "dual-center" structure to a "single-center" one. The distance between urban land patches in the Guangfo Metropolitan Area was relatively small, indicating a compact distribution of urban land. The distance between newly developed urban land patches was also small, but had gradually increased in recent years. The patch shape of urban land was relatively regular and less complex, but the complexity of the newly added urban land gra-dually increased. The ecosystem service trade-offs and synergies in the Guangfo Metropolitan Area had undergone significant changes, with a decrease in synergies and an increase in trade-off, and extreme trade-offs had gradually become dominant. The response of ecosystem services synergies to changes in urban land use scale was the most intense and had spatial heterogeneity, while the response to the change of distribution and morphological characte-ristics of urban land showed periodic differences.

Targeting Dual Immune Checkpoints PD-L1 and HLA-G by Trispecific T Cell Engager for Treating Heterogeneous Lung Cancer.

Immunotherapy targeting immune checkpoints (ICPs), such as programmed death-ligand-1 (PD-L1), is used as a treatment option for advanced or metastatic non-small cell lung cancer (NSCLC). However, overall response rate to anti-PD-L1 treatment is limited due to antigen heterogeneity and the immune-suppressive tumor microenvironment. Human leukocyte antigen-G (HLA-G), an ICP as well as a neoexpressed tumor-associated antigen, is previously demonstrated to be a beneficial target in combination with anti-PD-L1. In this study, a nanobody-based trispecific T cell engager (Nb-TriTE) is developed, capable of simultaneously binding to T cells, macrophages, and cancer cells while redirecting T cells toward tumor cells expressing PD-L1- and/or HLA-G. Nb-TriTE shows broad spectrum anti-tumor effects in vitro by augmenting cytotoxicity mediated by human peripheral blood mononuclear cells (PBMCs). In a humanized immunodeficient murine NSCLC model, Nb-TriTE exhibits superior anti-cancer potency compared to monoclonal antibodies and bispecific T cell engagers. Nb-TriTE, at the dose with pharmacoactivity, does not induce additional enhancement of circulating cytokines secretion from PMBCs. Nb-TriTE effectively prolongs the survival of mice without obvious adverse events. In conclusion, this study introduces an innovative therapeutic approach to address the challenges of immunotherapy and the tumor microenvironment in NSCLC through utilizing the dual ICP-targeting Nb-TriTE.