CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading.

Diabetic retinopathy (DR) is the most common diabetic complication, which usually leads to retinal damage, vision loss, and even blindness. A computer-aided DR grading system has a significant impact on helping ophthalmologists with rapid screening and diagnosis. Recent advances in fundus photography have precipitated the development of novel retinal imaging cameras and their subsequent implementation in clinical practice. However, most deep learning-based algorithms for DR grading demonstrate limited generalization across domains. This inferior performance stems from variance in imaging protocols and devices inducing domain shifts. We posit that declining model performance between domains arises from learning spurious correlations in the data. Incorporating do-operations from causality analysis into model architectures may mitigate this issue and improve generalizability. Specifically, a novel universal structural causal model (SCM) was proposed to analyze spurious correlations in fundus imaging. Building on this, a causality-inspired diabetic retinopathy grading framework named CauDR was developed to eliminate spurious correlations and achieve more generalizable DR diagnostics. Furthermore, existing datasets were reorganized into 4DR benchmark for DG scenario. Results demonstrate the effectiveness and the state-of-the-art (SOTA) performance of CauDR. Diabetic retinopathy (DR) is the most common diabetic complication, which usually leads to retinal damage, vision loss, and even blindness. A computer-aided DR grading system has a significant impact on helping ophthalmologists with rapid screening and diagnosis. Recent advances in fundus photography have precipitated the development of novel retinal imaging cameras and their subsequent implementation in clinical practice. However, most deep learning-based algorithms for DR grading demonstrate limited generalization across domains. This inferior performance stems from variance in imaging protocols and devices inducing domain shifts. We posit that declining model performance between domains arises from learning spurious correlations in the data. Incorporating do-operations from causality analysis into model architectures may mitigate this issue and improve generalizability. Specifically, a novel universal structural causal model (SCM) was proposed to analyze spurious correlations in fundus imaging. Building on this, a causality-inspired diabetic retinopathy grading framework named CauDR was developed to eliminate spurious correlations and achieve more generalizable DR diagnostics. Furthermore, existing datasets were reorganized into 4DR benchmark for DG scenario. Results demonstrate the effectiveness and the state-of-the-art (SOTA) performance of CauDR.

Effects of cooking with solid fuel on hearing loss in Chinese adults-Based on two cohort studies.

The association between cooking fuel and hearing loss still needs more research to clarify, and two longitudinal cohort studies were explored to find if solid fuel use for cooking affected hearing in Chinese adults. The data from Chinese Health and Retirement Longitudinal Survey (CHARLS) and Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed. Participants (older than 18) without hearing loss at baseline and follow-up visits were included, which were divided into clean fuel and solid fuel groups. Hearing loss rate was from follow-up visits (both in year 2011) until the recent one (year 2018 in CHARLS and 2019 in CLHLS). Cox regressions were applied to examine the associations with adjustment for potential confounders. Fixed-effect meta-analysis was used to pool the results. A total of 9049 participants (average age 8.34 ± 9.12 [mean ± SD] years; 4247 [46.93%] males) were included in CHARLS cohort study and 2265 participants (average age, 78.75 ± 9.23 [mean ± SD] years; 1148 [49.32%] males) in CLHLS cohort study. There were 1518 (16.78%) participants in CHARLS cohort and 451 (19.91%) participants in CLHLS cohort who developed hearing loss. The group of using solid fuel for cooking had a higher risk of hearing loss (CHARLS: HR, 1.16; 95% CI 1.03-1.30; CLHLS: HR, 1.43; 95% CI 1.11-1.84) compared with the one of using clean fuel. Pooled hazard ratio showed the incidence of hearing loss in the solid fuel users was 1.17 (1.03, 1.29) times higher than that of clean fuel users. Hearing loss was associated with solid fuel use and older people were at higher risk. It is advised to replace solid fuel by clean fuel that may promote health equity.

Carbon-nitrogen transmutation in polycyclic arenol skeletons to access N-heteroarenes.

Developing skeletal editing tools is not a trivial task, and realizing the corresponding single-atom transmutation in a ring system without altering the ring size is even more challenging. Here, we introduce a skeletal editing strategy that enables polycyclic arenols, a highly prevalent motif in bioactive molecules, to be readily converted into N-heteroarenes through carbon-nitrogen transmutation. The reaction features selective nitrogen insertion into the C-C bond of the arenol frameworks by azidative dearomatization and aryl migration, followed by ring-opening, and ring-closing (ANRORC) to achieve carbon-to-nitrogen transmutation in the aromatic framework of the arenol. Using widely available arenols as N-heteroarene precursors, this alternative approach allows the streamlined assembly of complex polycyclic heteroaromatics with broad functional group tolerance. Finally, pertinent transformations of the products, including synthesis complex biheteroarene skeletons, were conducted and exhibited significant potential in materials chemistry.

Complete mitochondrial genome data and phylogenetic analysis of Papilio macilentus Janson, 1877 (Lepidoptera: Papilionoidea: Papilionidae).

In the present study, the complete mitochondrial genome (mitogenome) of the Papilio macilentus (Lepidoptera: Papilionoidea: Papilionidae) was sequenced by next-generation sequencing method. The mitochondrial genome is a circular DNA molecule of 15,264 bp in size with 80.7% AT content, including 37 genes (13 protein-coding genes, 2 rRNA genes, and 22 tRNA genes), and a long non-coding region (Control region). All protein-coding genes are initiated by ATN codons, and terminated with TAA, TAG, or single T. All tRNAs can be folded into common clover leaf secondary structure, except trn-S1. Phylogenetic analyses based on 13 protein-coding genes and 2 rRNA genes using maximum likelihood and Bayesian inference confirmed that P. macilentus and Papilio memnon are clustered into a clade, and revealed the relationships between Papilionini, Troidini, Teinopaippini and Leptocircini.

Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study.

BACKGROUND: Adverse drug reactions (ADRs), which are the phenotypic manifestations of clinical drug toxicity in humans, are a major concern in precision clinical medicine. A comprehensive evaluation of ADRs is helpful for unbiased supervision of marketed drugs and for discovering new drugs with high success rates. OBJECTIVE: In current practice, drug safety evaluation is often oversimplified to the occurrence or nonoccurrence of ADRs. Given the limitations of current qualitative methods, there is an urgent need for a quantitative evaluation model to improve pharmacovigilance and the accurate assessment of drug safety. METHODS: In this study, we developed a mathematical model, namely the Adverse Drug Reaction Classification System (ADReCS) severity-grading model, for the quantitative characterization of ADR severity, a crucial feature for evaluating the impact of ADRs on human health. The model was constructed by mining millions of real-world historical adverse drug event reports. A new parameter called Severity_score was introduced to measure the severity of ADRs, and upper and lower score boundaries were determined for 5 severity grades. RESULTS: The ADReCS severity-grading model exhibited excellent consistency (99.22%) with the expert-grading system, the Common Terminology Criteria for Adverse Events. Hence, we graded the severity of 6277 standard ADRs for 129,407 drug-ADR pairs. Moreover, we calculated the occurrence rates of 6272 distinct ADRs for 127,763 drug-ADR pairs in large patient populations by mining real-world medication prescriptions. With the quantitative features, we demonstrated example applications in systematically elucidating ADR mechanisms and thereby discovered a list of drugs with improper dosages. CONCLUSIONS: In summary, this study represents the first comprehensive determination of both ADR severity grades and ADR frequencies. This endeavor establishes a strong foundation for future artificial intelligence applications in discovering new drugs with high efficacy and low toxicity. It also heralds a paradigm shift in clinical toxicity research, moving from qualitative description to quantitative evaluation.

Targeting OXCT1-mediated ketone metabolism reprograms macrophages to promote antitumor immunity via CD8+ T cells in hepatocellular carcinoma.

BACKGROUND & AIMS: The liver is the main organ of ketogenesis, while ketones are mainly metabolized in peripheral tissues via the critical enzyme OXCT1. We previously found that ketolysis is reactivated in hepatocellular carcinoma (HCC) cells through OXCT1 expression to promote tumor progression; however, whether OXCT1 regulates antitumor immunity remains unclear. METHODS: To investigate the expression pattern of OXCT1 in hepatocellular carcinoma in vivo, we conducted multiplex immunohistochemistry (mIHC) experiments on human HCC specimens. To explore the role of OXCT1 in mouse hepatocellular carcinoma tumor-associated macrophages (TAMs), we generated LysMcreOXCT1f/f (OXCT1 conditional knockout in macrophages) mice. RESULTS: Here, we found that inhibiting OXCT1 expression in tumor-associated macrophages reduced CD8+ T-cell exhaustion through the succinate-H3K4me3-Arg1 axis. Initially, we found that OXCT1 was highly expressed in liver macrophages under steady state and that OXCT expression was further increased in TAMs. OXCT1 deficiency in macrophages suppressed tumor growth by reprogramming TAMs toward an antitumor phenotype, reducing CD8+ T-cell exhaustion and increasing CD8+ T-cell cytotoxicity. Mechanistically, high OXCT1 expression induced the accumulation of succinate, a byproduct of ketolysis, in TAMs, which promoted Arg1 transcription by increasing the H3K4 trimethylation (H3K4me3) level in the Arg1 promoter. In addition, Pimozide, an inhibitor of OXCT1, suppressed Arg1 expression as well as TAM polarization toward the protumor phenotype, leading to decreasing CD8+ T-cell exhaustion and deceleration of tumor growth. Finally, high expression of OXCT1 in macrophages was positively associated with poor survival in HCC patients. CONCLUSIONS: In conclusion, our results demonstrate that OXCT1 epigenetically suppresses antitumor immunity, suggesting that suppressing OXCT1 activity in TAMs is an effective approach for treating liver cancer. IMPACT AND IMPLICATIONS: The intricate metabolism of liver macrophages plays a critical role in shaping HCC progression and immune modulation. Targeting macrophage metabolism to counteract immune suppression presents a promising avenue for HCC. Here, we found that ketogenesis gene OXCT1 was highly expressed in tumor-associated macrophages and promoted tumor growth by reprogramming TAMs toward a protumor phenotype. And the strategic pharmacological intervention or genetic downregulation of OXCT1 in TAMs enhances the antitumor immunity and decelerated tumor growth. Our results suggest that suppressing OXCT1 activity in TAMs is an effective approach for treating liver cancer.

lncRNA SNHG4 inhibits ferroptosis by orchestrating miR-150-5p/c-Myb axis in colorectal cancer.

LncRNAs have shown to regulate ferroptosis in colorectal cancer (CRC), but the mechanism remains largely unknown. This study unveiled the mechanism of SNHG4 underlying ferroptosis in CRC. RNA-seq and RT-PCR assay confirmed SNHG4 was decreased after Erastin treatment in CRC cells. Overexpression of SNHG4 inhibited and silence promoted CRC cells ferroptosis. SNHG4 was positively correlated to c-Myb in CRC tissues and both located in cytoplasm of CRC cells. RIP and RNA pull-down assays verified the interaction between SNHG4 and c-Myb. Silence of c-Myb alleviated the suppressing effect on ferroptosis by SNHG4 in CRC cells. Dual-luciferase reporter assay revealed that SNHG4 sponging miR-150-5p in CRC cells. Overexpression of SNHG4 decreased the miR-150-5p and increased c-Myb expression. c-Myb was a direct target gene of miR-150-5p in CRC cells. Moreover, effect of CDO1 on ferroptosis was regulated transcriptionally by c-Myb, overexpression of c-Myb reduce CDO1 expression and enhance the GPX4 levels. The animal models confirmed that regulatory effect of SNHG4 on miR-150-5p and c-Myb after inducing ferroptosis. We concluded that SNHG4 inhibited Erastin-induce ferroptosis in CRC, this effect is via sponging miR-150-5p to regulate c-Myb expression, and activated CDO1/GPX4 axis. These findings provide insights into the regulatory mechanism of SNHG4 on ferroptosis.

Poor sleep quality and its associated factors among working adults during COVID-19 pandemic in Malaysia.

Background: In Malaysia, a nationwide movement control order (MCO), implemented to curb the COVID-19 spread, impacted on the lives of the working population which could impair sleep quality. Objective: This study aims to find the sleep quality status and its association with the socioeconomic, employment and lifestyle factors of working adults during the MCO period. Methods: A cross-sectional study was conducted among 500 eligible working adults. Data were collected using a structured questionnaire consisting of the Pittsburg Sleep Quality Index. Results: The proportion of poor sleep quality is found to be 59.4%. Analysis shows that the use of electronic devices before sleep (OR = 2.33, 95% CI = 1.02-5.35, p-value = 0.046), increased amount of workload (OR = 0.45, p-value = 0.005), decreased in amount of workload (OR = 0.48, p-value = 0.003) and distracted while working (OR = 0.57, p-value = 0.014) are the factors significantly associated with and are predictors of poor sleep quality. Conclusion: During crisis, there is a need for public health interventions for the working population to adopt a healthy lifestyle. Employers are recommended to support employees' well-being and to provide a healthy workplace during challenging times. Policy recommendations are also made to implement flexible working arrangements, workload management, workplace mental health support and legal protections on reasonable working hours, rest breaks and time off during crises.

The genus Ranunculus L. (Ranunculus) in Asia: a review of its botany, traditional uses, phytochemistry, pharmacology, toxicity, and pharmaceutical preparations.

OBJECTIVES: Ranunculus L. genus contains 413 species, and it is the biggest genus in the family Ranunculaceae Juss. This review is to provide botanical characteristics, traditional uses, phytochemistry, pharmacology, toxicity, and pharmaceutical preparations of the genus Ranunculus. KEY FINDINGS: The genus Ranunculus contains flavonoids, organic acids, coumarins, lactones, glycosides, sterols, polysaccharides, and trace elements. These chemical constituents complement the pharmacological actions and work together to exert anti-inflammatory, anticancer, antitubercular, antibacterial, antimalarial, etc. Those traditional Chinese medicine characteristics, like clearing away heat and detoxification, make this genus significant in ethnic medicine. The progress in research and the development of various pharmaceutical preparations made it appear in epidemiological and clinical studies. SUMMARY: The genus Ranunculus has attracted the attention of experts and scholars in many fields due to its unique advantages. However, there are many species that are not scientifically investigated. The toxicity issues are also a huge concern. Fortunately, the toxicity can be overcome via special processes like drying or heating and by choosing a safe extraction solvent, such as water thus ensuring the safety of medication. Pharmaceutical preparations containing the plants from Ranunculus have gratifying clinical value, but they are not promoted sufficiently. Therefore, further research should be carried out to promote the genus for its health benefits to humans.

Long-term Efficacy and Safety of High-frequency Spinal Stimulation for Chronic Pain: A Meta-analysis of Randomized Controlled Trial.

OBJECTIVE: The aim of our meta-analysis was to systematically assess the enduring effectiveness and safety of high-frequency spinal stimulation (HF-SCS) in the management of chronic pain. METHODS: We developed a comprehensive literature search strategy to identify clinical trials investigating the efficacy of high-frequency spinal stimulation for chronic pain. The search was conducted in multiple databases, including Web of Science, Cochrane, PubMed, and Embase, covering the period from 2004 to 2023. The inclusion and exclusion criteria established for this study were applied to screen the eligible literature by carefully reviewing abstracts and, when necessary, examining the full text of selected articles. To assess the quality of the included studies, we utilized the risk of bias assessment tool provided by the Cochrane Collaboration.The PRISMA method was followed for the selection of articles, and the quality of the articles was evaluated using the risk assessment table for bias provided by the Cochrane Collaboration.Meta-analysis of the selected studies was performed using Review Manager 5.4 and STATA 16.0. Effect sizes for continuous data were reported as mean differences (MD) or standardized mean differences (SMD), while categorical data were analyzed using relative risks (RR). RESULTS: According to our predefined literature screening criteria, a total of seven English-language randomized controlled trials (RCTs) were included in the meta-analysis. The findings from the meta-analysis demonstrated that high-frequency spinal cord stimulation (HF-SCS) exhibited superior efficacy in the long-term treatment of chronic pain when compared to the control group (RR = 2.44, 95% CI [1.20, 4.96], P = 0.01). Furthermore, HF-SCS demonstrated a statistically significant improvement in the Oswestry Disability Index score (mean difference MD = 3.77, 95% CI [1.17, 6.38], P = 0.005).However, for pain assessment (standardized mean difference SMD = -0.59, 95% CI [-1.28, 0.10], P = 0.09), Patient Global Impression of Improvement (PGI-I) score (MD = 0.11, 95% CI [-0.66, 0.88], P = 0.78 for 6 months; MD = 0.02, 95% CI [-0.42, 0.43], P = 0.97 for 12 months), Clinical Global Impression of Improvement (CGI-I) score (MD = -0.58, 95% CI [-1.62, 0.43], P = 0.27 for 6 months; MD = -0.23, 95% CI [-0.94, 0.48], P = 0.52 for 12 months), and occurrence of adverse effects (odds ratio OR = 0.77, 95% CI [0.23, 2.59], P = 0.67) from a statistical point of view, HF-SCS did not show sufficient effect compared with the control group. Not significant enough to consider it. CONCLUSIONS: The findings from our comprehensive review and meta-analysis, encompassing research from 2004 to 2023, offer encouraging data about the prolonged efficacy and safety of HF-SCS in chronic pain management. Nonetheless, recognizing the constraints of the existing evidence is crucial. Upcoming clinical trials, meticulously planned and stringent, are essential to bolster the current body of evidence and reach more conclusive findings.

Knowledge Development Trajectories of Intelligent Video Surveillance Domain: An Academic Study Based on Citation and Main Path Analysis.

Smart city is an area where the Internet of things is used effectively with sensors. The data used by smart city can be collected through the cameras, sensors etc. Intelligent video surveillance (IVS) systems integrate multiple networked cameras for automatic surveillance purposes. Such systems can analyze and monitor video data and perform automatic functions required by users. This study performed main path analysis (MPA) to explore the development trends of IVS research. First, relevant articles were retrieved from the Web of Science database. Next, MPA was performed to analyze development trends in relevant research, and g-index and h-index values were analyzed to identify influential journals. Cluster analysis was then performed to group similar articles, and Wordle was used to display the key words of each group in word clouds. These key words served as the basis for naming their corresponding groups. Data mining and statistical analysis yielded six major IVS research topics, namely video cameras, background modeling, closed-circuit television, multiple cameras, person reidentification, and privacy, security, and protection. These topics can boost the future innovation and development of IVS technology and contribute to smart transportation, smart city, and other applications. According to the study results, predictions were made regarding developments in IVS research to provide recommendations for future research.

Revealing the active ingredients and mechanism of P. sibiricumm in non-small-cell lung cancer based on UPLC-Q-TOF-MS/MS, network pharmacology, and molecular docking.

The alcohol extraction of P. sibiricum has exhibited significant inhibitory effects on the production of free radicals and the proliferation of non-small-cell lung carcinoma (NSCLC) A549 cells. Despite the diverse components found in alcohol extraction of P. sibiricum and its multiple targets, the active components and associated targets remain largely unidentified. Hence, there is a need for additional investigation into the pharmacodynamic elements and mechanisms of action. This study aimed to analyze and identify the components responsible for the anti-tumor activity of alcohol extraction from P. sibiricum using UPLC-Q-TOF-MS/MS for the first time. Subsequently, the targets of the active components were predicted using the SwissTargetPrediction database, whereas the targets for NSCLC were sourced from the Online Mendelian Inheritance in Man database (OMIM) and the GeneCards database. Next, the targets of chemical composition were integrated with disease targets via Venny online. GO and KEGG pathway enrichment analyses were performed utilizing DAVID. Subsequently, a network analysis of "components-targets-pathways" was established using Cytoscape 3.8.2 and assessed with the "network analyzer" plug-in. Molecular docking was conducted utilizing Autodock 1.5.6. The study aimed to examine the anti-proliferative impacts and underlying mechanisms of alcohol extraction from P. sibiricum on NSCLC through in vivo and in vitro investigations utilizing an animal model of transplanted tumor, CCK8 assay, cell scratch test, RT-qPCR, and western blotting. The study unveiled that 17 active components extracted from P. sibiricum alcohol demonstrated anti-non-small cell lung cancer (NSCLC) effects through the modulation of 191 targets and various significant signaling pathways. These pathways include Endocrine resistance, PI3K/AKT, Chemical carcinogenesis-receptor activation, Proteoglycans in cancer, EGFR tyrosine kinase inhibitor resistance, AMPK signaling pathway, and other related signaling pathways. Network analysis and molecular docking results indicated that specific compounds such as (25S)-26-O-(ß-d-glucopyranosyl)-furost-5-en3ß,22α,26-triol3-O-ß-d-glucopyranosyl-(1→2)-ß-d-glucopyranosyl-(1→4)-ß-d-glucopyranoside, Timosaponin H1, Deapi-platycodin D3, (3R)-5,7-dihydroxy-6,8-dimethyl-3-(4'-hydroxybenzyl)-chroman-4-one, Disporopsin, Funkioside F, Kingianoside E, Parisyunnanoside H, and Sibiricoside B primarily targeted 17 key proteins (BCL2, EGFR, ESR1, ESR2, GRB2, IGF1R, JUN, MAP2K1, MAPK14, MAPK8, MDM2, MMP9, mTOR, PIK3CA, RAF1, RPS6KB1, and SRC) collectively. In conclusion, the alcohol extraction of P. sibiricum demonstrated inhibitory effects on cell proliferation, induction of apoptosis, and inhibition of metastasis through various pathways.

TaoHe ChengQi decoction ameliorates sepsis-induced cardiac dysfunction through anti-ferroptosis via the Nrf2 pathway.

BACKGROUND: Sepsis-induced cardiac dysfunction (SICD) is a serious complication of sepsis that is associated with increased mortality. Ferroptosis has been reported in the SICD. TaoHe ChengQi decoction (THCQD), a classical traditional Chinese medicinal formula, has multiple beneficial pharmacological effects. The potential effects of THCQD on the SICD remain unknown. PURPOSE: To investigate the effect of THCQD on SICD and explore whether this effect is related to the regulation of myocardial ferroptosis through nuclear factor erythroid 2-related factor 2 (Nrf2) activation. METHODS: We induced sepsis in a mouse model using cecal ligation and puncture (CLP) and administered THCQD (2 and 4 g/kg) and dexamethasone (40 mg/kg). Mice mortality was recorded and survival curves were plotted. Echocardiography, hematoxylin and eosin staining, and analysis of serum myocardial injury markers and inflammatory factors were used to evaluate cardiac pathology. Myocardial ferroptosis was detected by quantifying specific biomarker content and protein levels. Through HPLC-Q-Exactive-MS analysis, we identified the components of the THCQD. Network pharmacology analysis and Cellular Thermal Shift Assay (CETSA) were utilized to predict the targets of THCQD for treating SICD. We detected the expression of Nrf2 using Western blotting or immunofluorescence. An RSL3-induced ferroptosis model was established using neonatal rat cardiomyocytes (NRCMs) to further explore the pharmacological mechanism of THCQD. In addition to measuring cell viability, we observed changes in NRCM mitochondria using electron microscopy and JC-1 staining. NRF2 inhibitor ML385 and Nrf2 knockout mice were used to validate whether THCQD exerted protective effects against SICD through Nrf2-mediated ferroptosis signaling. RESULTS: THCQD reduced mortality in septic mice, protected against CLP-induced myocardial injury, decreased systemic inflammatory response, and prevented myocardial ferroptosis. Network pharmacology analysis and CETSA experiments predicted that THCQD may protect against SICD by activating the Nrf2 signaling pathway. Western blotting and immunofluorescence showed that THCQD activated Nrf2 in cardiac tissue. THCQDs consistently mitigated RSL3-induced ferroptosis in NRCM, which is related to Nrf2. Furthermore, the pharmacological inhibition of Nrf2 and genetic Nrf2 knockout partially reversed the protective effects of THCQD on SICD and ferroptosis. CONCLUSION: The effect of THCQD on SICD was achieved by activating Nrf2 and its downstream pathways.

A Reconfigurable DNA Framework Nanotube-Assisted Antiangiogenic Therapy.

A major limitation of tumor antiangiogenic therapy is the pronounced off-target effect, which can lead to unavoidable injury in multiple organs. Ensuring sufficient delivery and controlled release of these antiangiogenic agents at tumor sites is crucial for realizing their clinical application. Here, we develop a smart DNA-based nanodrug, termed Endo-rDFN, by precisely assembling the antiangiogenic agent, endostar (Endo), into a reconfigurable DNA framework nanotube (rDFN) that could recognize tumor-overexpressed nucleolin to achieve the targeted delivery and controllable release of Endo. Endo-rDFN can not only effectively enhance the tumor-targeting capability of Endo and maintain its efficient accumulation in tumor tissues but also achieve on-demand release of Endo at tumor sites via the specific DNA aptamer for tumor-overexpressed nucleolin, named AS1411. We also found that Endo-rDFN exhibited significant inhibition of angiogenesis and tumor growth, while also providing effective protection against multiorgan injury (heart, liver, spleen, kidney, lung, etc.) to some extent, without compromising the function of these organs. Our study demonstrates that rDFN represents a promising vector for reducing antiangiogenic therapy-induced multiorgan injury, highlighting its potential for promoting the clinical application of antiangiogenic agents.

SNHG4-mediated PTEN destabilization confers oxaliplatin resistance in colorectal cancer cells by inhibiting ferroptosis.

Oxaliplatin resistance poses a significant challenge in colorectal cancer (CRC) therapy, necessitating further investigation into the underlying molecular mechanisms. This study aimed to elucidate the regulatory role of SNHG4 in oxaliplatin resistance and ferroptosis in CRC. Our findings revealed that treatment with oxaliplatin led to downregulation of SNHG4 expression in CRC cells, while resistant CRC cells exhibited higher levels of SNHG4 compared to parental cells. Silencing SNHG4 attenuated oxaliplatin resistance and reduced the expression of resistance-related proteins MRD1 and MPR1. Furthermore, induction of ferroptosis effectively diminished oxaliplatin resistance in both parental and resistant CRC cells. Notably, ferroptosis induction resulted in decreased SNHG4 expression, whereas SNHG4 overexpression suppressed ferroptosis. Through FISH, RIP, and RNA pull-down assays, we identified the cytoplasmic localization of both SNHG4 and PTEN, establishing that SNHG4 directly targets PTEN, thereby reducing mRNA stability in CRC cells. Silencing PTEN abrogated the impact of SNHG4 on oxaliplatin resistance and ferroptosis in CRC cells. In vivo experiments further validated the influence of SNHG4 on oxaliplatin resistance and ferroptosis in CRC cells through PTEN regulation. In conclusion, SNHG4 promotes resistance to oxaliplatin in CRC cells by suppressing ferroptosis through instability of PTEN, thus serves as a target for patients with oxaliplatin-base chemoresistance.

Second-Shell N Dopants Regulate Acidic O2 Reduction Pathways on Isolated Pt Sites.

Pt is a well-known benchmark catalyst in the acidic oxygen reduction reaction (ORR) that drives electrochemical O2-to-H2O conversion with maximum chemical energy-to-electricity efficiency. Once dispersing bulk Pt into isolated single atoms, however, the preferential ORR pathway remains a long-standing controversy due to their complex local coordination environment and diverse site density over substrates. Herein, using a set of carbon nanotube supported Pt-N-C single-atom catalysts, we demonstrate how the neighboring N dopants regulate the electronic structure of the Pt central atom and thus steer the ORR selectivity; that is, the O2-to-H2O2 conversion selectivity can be tailored from 10% to 85% at 0.3 V versus reversible hydrogen electrode. Moreover, via a comprehensive X-ray-radiated spectroscopy and shell-isolated nanoparticle-enhanced Raman spectroscopy analysis coupled with theoretical modeling, we reveal that a dominant pyridinic- and pyrrolic-N coordination within the first shell of Pt-N-C motifs favors the 4e- ORR, whereas the introduction of a second-shell graphitic-N dopant weakens *OOH binding on neighboring Pt sites and gives rise to a dominant 2e- ORR. These findings underscore the importance of the chemical environment effect for steering the electrochemical performance of single-atom catalysts.

Antimicrobial resistance profile in Salmonella enterica serovar Choleraesuis isolates from diseased pigs in Taiwan.

This study investigated antimicrobial resistance in Salmonella enterica serovar Choleraesuis (S. Choleraesuis) isolates from diseased pigs in Taiwan (2015-2020). Among 272 isolates, florfenicol (96.7%), enrofloxacin (96.3%), doxycycline (91.2%), gentamicin (84.6%), and tiamulin (80.5%) exhibited high resistance. 99.3% of the isolates were resistant to at least one antibiotic, and 97.8% of the isolates were multidrug resistant. This study illustrated that S. Choleraesuis isolates exhibited high resistance to antimicrobials currently used in the Taiwanese swine industry.

Comparative analysis and evaluation of wild and cultivated Radix Fici Simplicissimae using an UHPLC-Q-Orbitrap mass spectrometry-based metabolomics approach.

Radix Fici Simplicissimae (RFS) is widely studied, and is in demand for its value in medicines and food products, with increased scientific focus on its cultivation and breeding. We used ultra-high-performance liquid chromatography quadrupole-orbitrap mass spectrometry-based metabolomics to elucidate the similarities and differences in phytochemical compositions of wild Radix Fici Simplicissimae (WRFS) and cultivated Radix Fici Simplicissimae (CRFS). Untargeted metabolomic analysis was performed with multivariate statistical analysis and heat maps to identify the differences. Eighty one compounds were identified from WRFS and CRFS samples. Principal component analysis and orthogonal partial least squares discrimination analysis indicated that mass spectrometry could effectively distinguish WRFS from CRFS. Among these, 17 potential biomarkers with high metabolic contents could distinguish between the two varieties, including seven phenylpropanoids, three flavonoids, one flavonol, one alkaloid, one glycoside, and four organic acids. Notably, psoralen, apigenin, and bergapten, essential metabolites that play a substantial pharmacological role in RFS, are upregulated in WRFS. WRFS and CRFS are rich in phytochemicals and are similar in terms of the compounds they contain. These findings highlight the effects of different growth environments and drug varieties on secondary metabolite compositions and provide support for targeted breeding for improved CRFS varieties.

Evolution and Diversity of Medial Sural Artery Perforator Flap for Hand Reconstruction.

The free medial sural artery perforator (MSAP) flap is a recently popularized flap. It has evolved from a composite myocutaneous flap to a pedicled perforator flap for lower limb reconstruction. It is also a versatile free perforator flap for extremity and head and neck reconstruction. The diversity of the flap designs with options for harvest of non-vascularized grafts enhances the versatility for hand and upper limb reconstruction. The adjunctive use of endoscopy and indocyanine green fluorescence imaging studies can assist and demystify the flap anatomy. The authors present their experience using free MSAP flaps for complex mutilated hand and upper extremity reconstruction.

Evaluation of Chongqing Tuo Tea at Different Grades: An Integrated Approach by Artificial and Intelligent Sensory, Non-Volatile, and Volatile Compounds Analysis.

This study aims to investigate the relationship between the grades of Tuo tea and the quality of compounds. A combination of artificial sensory evaluation, intelligent sensory technologies (electronic nose and electronic tongue), gas chromatography-mass spectrometry (GC-MS), high-performance liquid chromatography (HPLC), chemical-physical analysis, and multivariate statistical analysis were employed to examine the differences among three grades of Tuo tea (SG, 1G, and 2G). The results of artificial sensory evaluation, electronic tongue, and electronic nose revealed that the aroma and taste of different grades of Tuo tea varied greatly. A total of 112 volatile compounds and 44 non-volatile compounds were identified. In order to elucidate the key components that cause differences in the quality of Tuo tea, 2 partial least squares discriminant analysis (PLS-DA) models with excellent parameters (volatile, R2Y = 0.999 and Q2 = 0.996; non-volatile, R2Y = 0.992 and Q2 = 0.972) were established. A total of 80 key differential volatile compounds were identified with the double selection criterion of variable importance in projection (VIP) greater than 1 and p < 0.05. Among these, 43 compounds with OAV > 1 were further identified as the odor-active compounds in all three grades of Tuo. Moreover, 22 key non-volatile compounds that contribute to the quality differences have been screened out. This investigation implied that the volatile and non-volatile compounds of Tuo tea could serve as indicators of its quality. The results provided a new approach to distinguish the grades of Tuo tea.