Landscape of the Lumbar Cartilaginous End Plate Microbiota and Metabolites in Patients with Modic Changes.

BACKGROUND: Modic changes (MCs), vertebral end plate and bone marrow damage observed by magnetic resonance imaging, are an independent risk factor for low back pain. The compositions of and interaction between microbiota and metabolites in the lumbar cartilaginous end plates (LCEPs) of patients with MCs have not been identified. METHODS: Patients with lumbar disc degeneration who were undergoing lumbar spinal fusion surgery were recruited between April 2020 and April 2021. LCEPs were collected for 16S rRNA sequencing and liquid chromatography-mass spectrometry (LC/MS)-based targeted metabolomic profiling. Of the 54 patients recruited, 24 had no MCs and 30 had changes classified as Modic type 2 or 3. The primary goal was to identify specific genera of microbiota associated with MCs, and secondary goals included investigating differences in metabolites between patients with and without MCs and exploring the correlation between these metabolites and microorganisms. RESULTS: Investigation of the microbiota community structure revealed that both alpha diversity and beta diversity were significantly different between patients with and without MCs, and the abundances of 26 genera were significantly different between these 2 groups. Metabolomic analysis revealed that 26 metabolites were significantly different between the 2 groups. The unsaturated fatty acid pathway was found to be the main pathway related to MCs. Multiomic correlation analysis suggested that Caulobacteraceae (unclassified) and Mycobacterium, Clostridium, Blautia, and Bifidobacterium at the genus level were linked to dysregulation of fatty acid metabolism, contributing to the pathogenesis of MCs. CONCLUSIONS: Our study represents a foundational effort to examine the landscape of the microbiota and metabolites in patients with MCs, informing future studies on the pathogenesis of and targeted therapy for MCs. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

Application of Electrophysiological Techniques in Assessing of Neuromuscular Junction-Related Disorders.

This review aims to comprehensively summarize the application of electrophysiological methods, specifically repetitive nerve stimulation (RNS) and single fiber electromyography (SFEMG), in the diagnosis of neuromuscular junction (NMJ) disorders, including myasthenia gravis, Lambert-Eaton syndrome, and sarcopenia in the elderly. Both RNS and SFEMG have demonstrated high sensitivity and specificity in detecting NMJ abnormalities. RNS aids in distinguishing presynaptic from postsynaptic lesions, while SFEMG provides direct evidence of NMJ function by assessing single motor unit action potentials. Key parameters in SFEMG, such as fiber density, jitter, and pulse blocking, are crucial for evaluating NMJ function. Increased fiber density and jitter value, along with pulse blocking, are often observed in patients with NMJ disorders. However, despite the extensive application of these techniques in various NMJ-related diseases, their role in aging, particularly in sarcopenic patients, remains underexplored, highlighting the need for future research.

A narrative review of the measurement methods for biomechanical properties of plantar soft tissue in patients with diabetic foot.

This article provides an overview of the development history and advantages and disadvantages of measurement methods for soft tissue properties of the plantar foot. The measurement of soft tissue properties is essential for understanding the biomechanical characteristics and function of the foot, as well as for designing and evaluating orthotic devices and footwear. Various methods have been developed to measure the properties of plantar soft tissues, including ultrasound imaging, indentation testing, magnetic resonance elastography, and shear wave elastography. Each method has its own strengths and limitations, and choosing the most appropriate method depends on the specific research or clinical objectives. This review aims to assist researchers and clinicians in selecting the most suitable measurement method for their specific needs.

Incidence and prognostic factors of residual back pain in patients treated for osteoporotic vertebral compression fractures: a systematic review and meta-analysis.

BACKGROUND: Osteoporotic vertebral compression fracture (OVCF) is a common consequence of osteoporosis and can significantly impact the quality of life for affected individuals. Despite treatment options such as vertebroplasty and kyphoplasty, many patients continue to experience residual back pain (RBP) even after the fracture has healed. The incidence of RBP after OVCF treatment varies among studies, and there is a need for further research to understand the risk factors associated with RBP. METHODS: A systematic review and meta-analysis were conducted following the PRISMA guidelines. Electronic databases were searched, and relevant studies were selected based on inclusion and exclusion criteria. Data extraction and quality assessment were performed independently by two authors. Statistical analysis included single-proportion meta-analyses and pooling of odds ratios (OR) using the inverse-variance method, to calculate the overall incidences of RBP and cement leakage and identify risk factors associated with RBP. RESULTS: A total of 19 studies were included in the analysis. The overall incidences of RBP and cement leakage were found to be 16% and 18%, respectively. Several risk factors were identified, including gender, bone mineral density, depression, baseline visual analog scale (VAS) score, intravertebral vacuum cleft, number of fractured segments, cement distribution, history of vertebral fracture, thoracolumbar fascial injury, and fracture non-union. CONCLUSIONS: This study provides potential value within the scope of the incidence and risk factors of RBP following treatment of OVCFs. The identified risk factors can help clinicians identify high-risk patients and tailor appropriate interventions. Future research should focus on standardizing the definition of RBP and patient selection criteria to improve the accuracy of estimates and facilitate better management strategies for OVCF patients.

Decoding the fish genome opens a new era in important trait research and molecular breeding in China.

Aquaculture represents the fastest-growing global food production sector, as it has become an essential component of the global food supply. China has the world's largest aquaculture industry in terms of production volume. However, the sustainable development of fish culture is hindered by several concerns, including germplasm degradation and disease outbreaks. The practice of genomic breeding, which relies heavily on genome information and genotypephenotype relationships, has significant potential for increasing the efficiency of aquaculture production. In 2014, the completion of the genome sequencing and annotation of the Chinese tongue sole signified the beginning of the fish genomics era in China. Since then, domestic researchers have made dramatic progress in functional genomic studies. To date, the genomes of more than 60 species of fish in China have been assembled and annotated. Based on these reference genomes, evolutionary, comparative, and functional genomic studies have revolutionized our understanding of a wide range of biologically and economically important traits of fishes, including growth and development, sex determination, disease resistance, metamorphosis, and pigmentation. Furthermore, genomic tools and breeding techniques such as SNP arrays, genomic selection, and genome editing have greatly accelerated genetic improvement through the incorporation of functional genomic information into breeding activities. This review aims to summarize the current status, advances, and perspectives of the genome resources, genomic study of important traits, and genomic breeding techniques of fish in China. The review will provide aquaculture researchers, fish breeders, and farmers with updated information concerning fish genomic research and breeding technology. The summary will help to promote the genetic improvement of production traits and thus will support the sustainable development of fish aquaculture.

Pyrazolone-Protein Interaction Enables Long-Term Retention Staining and Facile Artificial Biorecognition on Cell Membranes.

Cell membrane genetic engineering has been utilized to confer cell membranes with functionalities for diagnostic and therapeutic purposes but concerns over cost and variable modification results. Although nongenetic chemical modification and phospholipid insertion strategies are more convenient, they still face bottlenecks in either biosafety or stability of the modifications. Herein, we show that pyrazolone-bearing molecules can bind to proteins with high stability, which is mainly contributed to by the multiple interactions between pyrazolone and basic amino acids. This new binding model offers a simple and versatile noncovalent approach for cell membrane functionalization. By binding to cell membrane proteins, pyrazolone-bearing dyes enabled precise cell tracking in vitro (>96 h) and in vivo (>21 days) without interfering with the protein function or causing cell death. Furthermore, the convenient anchor of pyrazolone-bearing biotin on cell membranes rendered the biorecognition to avidin, showing the potential for artificially creating cell targetability.

Novel machine-learning prediction tools for overall survival of patients with chondrosarcoma: Based on recursive partitioning analysis.

BACKGROUND: Chondrosarcoma (CHS), a bone malignancy, poses a significant challenge due to its heterogeneous nature and resistance to conventional treatments. There is a clear need for advanced prognostic instruments that can integrate multiple prognostic factors to deliver personalized survival predictions for individual patients. This study aimed to develop a novel prediction tool based on recursive partitioning analysis (RPA) to improve the estimation of overall survival for patients with CHS. METHODS: Data from the Surveillance, Epidemiology, and End Results (SEER) database were analyzed, including demographic, clinical, and treatment details of patients diagnosed between 2000 and 2018. Using C5.0 algorithm, decision trees were created to predict survival probabilities at 12, 24, 60, and 120 months. The performance of the models was assessed through confusion scatter plot, accuracy rate, receiver operator characteristic (ROC) curve, and area under ROC curve (AUC). RESULTS: The study identified tumor histology, surgery, age, visceral (brain/liver/lung) metastasis, chemotherapy, tumor grade, and sex as critical predictors. Decision trees revealed distinct patterns for survival prediction at each time point. The models showed high accuracy (82.40%-89.09% in training group, and 82.16%-88.74% in test group) and discriminatory power (AUC: 0.806-0.894 in training group, and 0.808-0.882 in test group) in both training and testing datasets. An interactive web-based shiny APP (URL: https://yangxg1209.shinyapps.io/chondrosarcoma_survival_prediction/) was developed, simplifying the survival prediction process for clinicians. CONCLUSIONS: This study successfully employed RPA to develop a user-friendly tool for personalized survival predictions in CHS. The decision tree models demonstrated robust predictive capabilities, with the interactive application facilitating clinical decision-making. Future prospective studies are recommended to validate these findings and further refine the predictive model.

Correlation analysis between driver gene mutation and clinicopathological features in lung adenocarcinoma based on real-world cumulative clinical data.

Background: Driver genes are essential predictors of targeted therapeutic efficacy. Detecting driver gene mutations in lung adenocarcinoma (LUAD) patients can help to screen for targeted drugs and improve patient survival benefits. This study aims to investigate the mutation characterization of driver genes and their correlation with clinicopathological features in LUAD. Methods: A total of 440 LUAD patients were selected from Sir Run Run Shaw Hospital between July 2019 and September 2022. Postoperative tissue specimens were analyzed for gene mutations using next-generation sequencing technology, focusing, including epidermal growth factor receptor EGFR, ALK, ROS1, RET, KRAS, MET, BRAF, HER2, PIK3CA and NRAS. At the same time, clinicopathological data were collected and organized for multidimensional correlation analysis. Results: Of 440 LUAD patients, driver gene mutations were not detected in 48 patients. The proportion of patients with driver gene mutations was as high as 89.09%. The top three driver genetic mutations were EGFR, KRAS, and MET. Sixty-nine types of EGFR mutations were detected and distributed in the protein tyrosine kinase catalytic domain (56, 81.16%), Furin-like cysteine-rich region (9, 13.04%), receptor binding domain (3, 4.35%), and EGFR transmembrane domain (1, 1.45%). Single gene locus mutation occurred in 343 LUAD patients, but the mutation gene types covered all tested genes. Our findings showed that EGFR mutations were more commonly observed in non-smoking and female patients (P<0.01), KRAS mutations were more prevalent in male patients and smokers (P<0.01), ROS1 mutations had larger tumor diameters (P<0.01) and RET mutations were more prevalent in smokers (P<0.05). Conclusions: LUAD patients exhibit diverse genetic mutations, which may co-occur simultaneously. Integrated analysis of multiple mutations is essential for accurate diagnosis and effective treatment of the disease. The use of NGS can significantly expand our understanding of gene mutations and facilitate integrated analysis of multiple gene mutations, providing critical evidence for targeted treatment methods.

Hepatocellular Carcinoma in Asia: Physician and Patient Perspectives on Surveillance, Diagnosis, and Treatment.

PURPOSE: In several Asian countries, hepatocellular carcinoma (HCC) is a leading cause of cancer deaths. HCC risk factors in Asia differ from those elsewhere and are changing with the treatment landscape as systemic treatment options increase. This study was conducted to gain insight from physicians and patients into HCC screening, diagnosis, and treatment strategies in Indonesia, Korea, Malaysia, Singapore, Taiwan, Thailand, and Vietnam. METHODS: Two cross-sectional, anonymized, online surveys were completed between July and December 2022 by physicians diagnosing and treating HCC (55 questions on risk factors, surveillance, diagnosis, and treatment) and patients ≥ 18 years old diagnosed with HCC (36 questions on disease knowledge, quality of life, and experiences of diagnosis and treatment). RESULTS: Responses were received from 276 physicians in all 7 countries and 130 patients in Thailand, Taiwan, and Vietnam. From the physician's perspective, surveillance programs are widespread but identify insufficient HCC cases; only 18% are early-stage HCC at diagnosis. From the patient's perspective, knowledge of risk factors increases after diagnosis, but few seek support from patient associations; patients would benefit from better communication from their doctors. Treatment affordability and side effects are key issues for patients. CONCLUSIONS: Awareness of the risk factors for HCC should be raised in primary care and the general population, and surveillance should identify early-stage HCC. Because patients rely on their doctors for support, doctors should better understand their patients' needs, and patients could be supported by trained nurses or case managers. Programs are needed to increase patients' access to proven HCC treatments.

Dynamic immunoediting by macrophages in homologous recombination deficiency-stratified pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease, notably resistant to existing therapies. Current research indicates that PDAC patients deficient in homologous recombination (HR) benefit from platinum-based treatments and poly-ADP-ribose polymerase inhibitors (PARPi). However, the effectiveness of PARPi in HR-deficient (HRD) PDAC is suboptimal, and significant challenges remain in fully understanding the distinct characteristics and implications of HRD-associated PDAC. We analyzed 16 PDAC patient-derived tissues, categorized by their homologous recombination deficiency (HRD) scores, and performed high-plex immunofluorescence analysis to define 20 cell phenotypes, thereby generating an in-situ PDAC tumor-immune landscape. Spatial phenotypic-transcriptomic profiling guided by regions-of-interest (ROIs) identified a crucial regulatory mechanism through localized tumor-adjacent macrophages, potentially in an HRD-dependent manner. Cellular neighborhood (CN) analysis further demonstrated the existence of macrophage-associated high-ordered cellular functional units in spatial contexts. Using our multi-omics spatial profiling strategy, we uncovered a dynamic macrophage-mediated regulatory axis linking HRD status with SIGLEC10 and CD52. These findings demonstrate the potential of targeting CD52 in combination with PARPi as a therapeutic intervention for PDAC.

Analysis of the Variation in Antioxidant Activity and Chemical Composition upon the Repeated Thermal Treatment of the By-Product of the Red Ginseng Manufacturing Process.

Steamed ginseng water (SGW) is a by-product of the repeated thermal processing of red ginseng, which is characterized by a high bioactive content, better skin care activity, and a large output. However, its value has been ignored, resulting in environmental pollution and resource waste. In this study, UHPLC-Q-Exactive-MS/MS liquid chromatography-mass spectrometry and multivariate statistical analysis were conducted to characterize the compositional features of the repeated thermal-treated SGW. The antioxidant activity (DPPH, ABTS, FRAP, and OH) and chemical composition (total sugars, total saponins, and reducing and non-reducing sugars) were comprehensively evaluated based on the entropy weighting method. Four comparison groups (groups 1 and 3, groups 1 and 5, groups 1 and 7, and groups 1 and 9) were screened for 37 important common difference markers using OPLS-DA analysis. The entropy weight method was used to analyze the weights of the indicators; the seventh SGW sample was reported to have a significant weight. The results of this study suggest that heat treatment time and frequency can be an important indicator value for the quality control of SGW cycling operations, which have great potential in antioxidant products.

Association Between Osteoporosis and Adiposity Index Reveals Nonlinearity Among Postmenopausal Women and Linearity Among Men Aged over 50 Years.

PURPOSE: Previous research shows conflicting views on the relationship between obesity and osteoporosis, partly due to variations in obesity classification and the nonlinear nature of these relationships. This study investigated the association between adiposity indices and osteoporosis, diagnosed using dual-energy X-ray absorptiometry (DXA), employing nonlinear models and offering optimal thresholds to prevent further bone mineral density decline. METHODS: In 2019, a prospective study enrolled males over 50 years and postmenopausal women. Anthropometric measurements, blood biochemistry, and osteoporosis measured by DXA were collected. Associations between adiposity indices and osteoporosis were analyzed using a generalized additive model and segmented regression model. RESULTS: The study included 872 women and 1321 men. Indices such as abdominal volume index (AVI), visceral adiposity index (VAI), waist circumference (WC), hip circumference, body mass index (BMI), waist-to-hip ratio, and waist-to-height ratio (WHtR) were inversely associated with osteoporosis. In women, the relationship between the risk of osteoporosis and the adiposity indices was U-shaped, with thresholds of WC = 94 cm, AVI = 17.67 cm2, BMI = 25.74 kg/m2, VAI = 4.29, and WHtR = 0.61, considering changes in bone mineral density. Conversely, men exhibited a linear patterns for the inverse association. CONCLUSION: The impact of obesity and adiposity on osteoporosis varies significantly between women and men. In postmenopausal women, the relationship is nonlinear (U-shaped), with both very low and very high adiposity linked to higher osteoporosis risk. In men over 50, the relationship is linear, with higher adiposity associated with lower osteoporosis risk. The study suggests that maintaining specific levels of adiposity could help prevent osteoporosis in postmenopausal women.

Portable Device with Nicking Enzyme Enhanced Special RCA on µPADs toward Sensitive Detection of High-Risk HPV Infection.

Development of an accurate, rapid, and cost-effective portable device is in high demand for point-of-care molecular diagnosis toward disease screening. Here we report a one-pot homogeneous isothermal assay that leverages nicking endonuclease and minimum secondary structured rolling circle amplification (N-MSSRCA) for fast and sensitive quantification of nucleic acids on distance microfluidic paper-based analytical devices (dµPAD) by a portable custom-made fluorescence detector. Human papillomavirus (HPV) oncogenic E7 mRNA as the biomarker for cervical cancer was used as the model analyte. N-MSSRCA integrates ligase for target recognition, the nicking enzyme for primer generation, and the dual function of the Phi29 DNA polymerase for both on- and off-loop amplification. The proposed method was capable of detecting 1 and 10 fM of the analyte using the microplate reader and portable detector with dµPAD, respectively, with ∼1 h assay time. A cohort study of 40 cervical swab samples shows N-MSSRCA reached positive and negative predictive values of 87.5% and 93.5% using the portable detector with dµPAD, compared to 91.67% and 100% using the microplate reader. N-MSSRCA demonstrates potential in early screening of high-risk HPV infection as a generic strategy to detect various nucleic acids in point-of-care scenarios.

Benzorhodol derived far-red/near-infrared fluorescent probes for selective and sensitive detection of butyrylcholinesterase activity in living cells and the non-alcoholic fatty liver of zebrafish.

Liver diseases are a growing public health concern and the development of non-alcoholic fatty liver disease (NAFLD) has a significant impact on human metabolism. Butyrylcholinesterase (BChE) is a vital biomarker for NAFLD, making it crucial to monitor BChE activity with high sensitivity and selectivity. In this study, we designed and synthesized a range of benzorhodol-derived far-red/near-infrared fluorescent probes, FRBN-B, NF-SB, and NF-B, for the quantitative detection and imaging of BChE. These probes differed in the size of their conjugated systems and in the number of incorporated cyclopropanecarboxylates, acting as the recognition site for BChE. Comprehensive characterization showed that FRBN-B and NF-SB fluorescence was triggered by BChE-mediated hydrolysis, while an additional cyclopropanecarboxylate in NF-B impeded the fluorescence release. High selectivity towards BChE was observed for FRBN-B and NF-SB, with a detection limit of 7.2 × 10-3 U mL-1 for FRBN-B and 1.9 × 10-3 U mL-1 for NF-SB. The probes were further employed in the evaluation of BChE inhibitor efficacy and imaging of intracellular BChE activity. Additionally, FRBN-B was utilized for imaging the BChE activity level in liver tissues in zebrafish, demonstrating its potential as a diagnostic tool for NAFLD.

A fluorescent NBD "turn-on" probe for the rapid and on-site analysis of fructose in food.

High fructose intake is an important cause of metabolic disease. Due to the increasing prevalence of metabolic diseases worldwide, the development of an accurate and efficient tool for monitoring fructose in food is urgently needed to control the intake of fructose. Herein, a new fluorescent probe NBD-PQ-B with 7-nitrobenz-2-oxa-1, 3-diazole (NBD) as the fluorophore, piperazine (PQ) as the bridging group and phenylboronic acid (B) as the recognition receptor, was synthesized to detect fructose. The fluorescence of NBD-PQ-B increased linearly at 550 nm at an excitation wavelength of 497 nm with increasing fructose concentration from 0.1 to 20 mM. The limit of detection (LOD) of fructose was 40 µM. The pKa values of NBD-PQ-B and its fructose complexes were 4.1 and 10.0, respectively. In addition, NBD-PQ-B bound to fructose in a few seconds. The present technique was applied to determine the fructose content in beverages, honey, and watermelon with satisfactory results. Finally, the system could not only be applied in an aqueous solution with a spectrophotometer, but also be fabricated as a NBD-PQ-B/polyvinyl oxide (PEO) film by electrospinning for on-site food analysis simply with the assistance of a smartphone.

Compressibility of lime-treated dredged slurry with high water content.

Lime is widely used for soft ground treatment, rendering the compressibility of lime-treated soil a crucial factor in deformation analysis in engineering applications. This study investigated the compressibility of three remoulded lime-treated slurries with high water content in Southeast China. Sixty groups of oedometer tests were conducted on lime-treated soils with an initial water content of 1 to 3 times the liquid limit and lime contents between 1 and 3%. The oedometer test results were discussed to examine the remoulded yield stress σ y ' of lime-treated slurry. Considering the relationships between σ y ' , the void ratio, lime content, and initial water content were preliminarily discussed and quantitatively established. Research on the normalised compression curve of lime-treated soil revealed that for soil samples containing a lime content of 0-%, the normalised compression curve at σ p ' > σ y ' can be represented by a unique line. Furthermore, the log(1 + e) - log σ v ' compression curve of lime-treated slurry at pre-yield state is analysed, and a prediction method for the modified compression index is proposed.

Mac-2 binding protein glycosylation isomer at 5 years of antiviral therapy predict hepatocellular carcinoma and mortality beyond year 5 in chronic hepatitis B patients with cirrhosis.

Whether serum Mac-2 binding protein glycosylation isomer (M2BPGi) level at year 5 of treatment could predict hepatocellular carcinoma (HCC) development and mortality beyond year 5 of entecavir or tenofovir disoproxil fumarate (TDF) treatment in chronic hepatitis B (CHB) patients with cirrhosis remain unclear. This retrospective study investigated the role of M2BPGi level at year 5 of treatment in predicting HCC and mortality beyond year 5 in CHB patients with cirrhosis. This study analyzed 1385 cirrhotic patients receiving entecavir or TDF treatment. Of them, 899 patients who did not develop HCC within the first 5 years of treatment were enrolled. In the entire cohort, there was no significant difference in the annual incidence of HCC before and after year 5 of entecavir or TDF treatment (P = 0.455). Multivariable Cox analysis identified old age, higher AFP and M2BPGi levels at 5 years of treatment as independent predictors of HCC occurrence beyond year 5. We developed the HCC risk prediction model, AMA, based on age, M2BPGi and AFP levels at 5 years of treatment, with the total score ranging from 0 to 8. The AMA model accurately categorized patients into low (≤2), medium (2-5), and high (≥5) risk groups in the development and validation groups (P<0.001) and exhibited good discriminant function in predicting HCC beyond year 5 in cirrhotic patients (AUROC: 0.743 at 5 years). The M2BPGi of 1.0 COI at 5 years of treatment stratified the risk of all-cause and liver-related mortality beyond year 5 (P<0.001). In conclusions, M2BPGi level at 5 years of treatment is a useful marker for predicting HCC development and mortality beyond year 5 of entecavir or TDF therapy in CHB patients with cirrhosis.

Comparison of Weighting Methods to Understand Improved Outcomes Attributable to Public Health Nursing Interventions.

BACKGROUND: The complex work of public health nurses (PHNs) specifically related to mental health assessment, intervention, and outcomes, makes it difficult to quantify and evaluate the improvement in client outcomes attributable to their interventions. OBJECTIVES: We examined heterogeneity across parents of infants served by PHNs receiving different interventions; compared the ability of traditional propensity scoring methods versus energy balancing weight techniques to adjust for the complex and stark differences in baseline characteristics among those receiving different interventions; and evaluated the causal effects of the quantity and variety of PHN interventions on client health and social outcomes. METHODS: This retrospective study of 4,109 clients used existing Omaha System data generated during the routine documentation of PHN home visit data. We estimated the effects of intervention by computing and comparing weighted averages of the outcomes within the different treatment groups using two weighting methods: (a) inverse probability of treatment (propensity score) weighting and (b) energy balancing weights (EBWs). RESULTS: Clients served by PHNs differed in baseline characteristics with clients with more signs/symptoms. Both weighting methods reduced heterogeneity in the sample. EBWs were more effective than inverse probability of treatment weighting in adjusting for multifaceted confounding and resulted in close balance of 105 baseline characteristics. Weighting the sample changed outcome patterns, especially when using energy-balancing weights. Clients who received more PHN interventions and a wider variety of them had improved knowledge, behavior, and status outcomes with no plateau over time, whereas the unweighted sample showed plateaus in outcomes over the course of home visiting services. DISCUSSION: Causal analysis of PHN-generated data demonstrated PHN intervention effectiveness for clients with mental health signs/symptoms. EBWs are a promising tool for evaluating the true causal effect of PHN home-visiting interventions.

Active and machine learning-enhanced discovery of new FGFR3 inhibitor, Rhapontin, through virtual screening of receptor structures and anti-cancer activity assessment.

Introduction: This study bridges traditional remedies and modern pharmacology by exploring the synergy between natural compounds and Ceritinib in treating Non-Small Cell Lung Cancer (NSCLC), aiming to enhance efficacy and reduce toxicities. Methods: Using a combined approach of computational analysis, machine learning, and experimental procedures, we identified and analyzed PD173074, Isoquercitrin, and Rhapontin as potential inhibitors of fibroblast growth factor receptor 3 (FGFR3). Machine learning algorithms guided the initial selection, followed by Quantitative Structure-Activity Relationship (QSAR) modeling and molecular dynamics simulations to evaluate the interaction dynamics and stability of Rhapontin. Physicochemical assessments further verified its drug-like properties and specificity. Results: Our experiments demonstrate that Rhapontin, when combined with Ceritinib, significantly suppresses tumor activity in NSCLC while sparing healthy cells. The molecular simulations and physicochemical evaluations confirm Rhapontin's stability and favorable interaction with FGFR3, highlighting its potential as an effective adjunct in NSCLC therapy. Discussion: The integration of natural compounds with established cancer therapies offers a promising avenue for enhancing treatment outcomes in NSCLC. By combining the ancient wisdom of natural remedies with the precision of modern science, this study contributes to evolving cancer treatment paradigms, potentially mitigating the side effects associated with current therapies.

Glutathione-Scavenging Celastrol-Cu Nanoparticles Induce Self-Amplified Cuproptosis for Augmented Cancer Immunotherapy.

Cuproptosis is a novel copper-dependent programmed cell death. The efficacy of cuproptosis is highly dependent on intracellular copper accumulation and counteracted by a high level of glutathione (GSH) in tumor cells. Here, this work develops a self-amplified cuproptosis nanoparticles (Cel-Cu NP) using celastrol (Cel), a natural product isolated from medical plant. In Cel-Cu NP, Cel serves as a versatile copper ionophore, exhibiting an ideal coordination capacity toward copper ions without compromising the cuproptosis induction. Notably, Cel can simultaneously scavenge GSH content to amplify cuproptosis. Moreover, this self-amplified cuproptosis further activates immunogenic cell death (ICD) to elicit robust immune response. Combining with immune checkpoint blockade, Cel-Cu NP effectively eradicates metastatic tumors in a mouse lung metastasis model. This study provides an efficient nanomedicine by inducing self-amplified cuproptosis for robust immunotherapy.