Analyzing the impact of heavy metal exposure on osteoarthritis and rheumatoid arthritis: an approach based on interpretable machine learning.

Introduction: This investigation leverages advanced machine learning (ML) techniques to dissect the complex relationship between heavy metal exposure and its impacts on osteoarthritis (OA) and rheumatoid arthritis (RA). Utilizing a comprehensive dataset from the National Health and Nutrition Examination Survey (NHANES) spanning from 2003 to 2020, this study aims to elucidate the roles specific heavy metals play in the incidence and differentiation of OA and RA. Methods: Employing a phased ML strategy that encompasses a range of methodologies, including LASSO regression and SHapley Additive exPlanations (SHAP), our analytical framework integrates demographic, laboratory, and questionnaire data. Thirteen distinct ML models were applied across seven methodologies to enhance the predictability and interpretability of clinical outcomes. Each phase of model development was meticulously designed to progressively refine the algorithm's performance. Results: The results reveal significant associations between certain heavy metals and an increased risk of arthritis. The phased ML approach enabled the precise identification of key predictors and their contributions to disease outcomes. Discussion: These findings offer new insights into potential pathways for early detection, prevention, and management strategies for arthritis associated with environmental exposures. By improving the interpretability of ML models, this research provides a potent tool for clinicians and researchers, facilitating a deeper understanding of the environmental determinants of arthritis.

Oxysophocarpine attenuates inflammatory osteolysis by modulating the NF-κb pathway and the reactive oxygen species-related Nrf2 signaling pathway.

BACKGROUND AND AIM: Inflammatory diseases often result in bone loss due to persistent inflammation, which activates osteoclasts and increases bone resorption. Oxysophocarpine (OSC), a bioalkaloid extracted from the roots of Sophora japonica and other leguminous plants, has neuroprotective and anti-tumor properties. However, it is still uncertain whether OSC can effectively inhibit the differentiation of osteoclasts and bone resorption. Therefore, this study explored the potential role of OSC in osteoclast formation and inflammatory osteolysis and its underlying mechanisms. EXPERIMENTAL PROCEDURE: This study involved inducing primary mouse bone marrow macrophages (BMMs) into osteoclasts using macrophage colony-stimulating factor (M-CSF) and receptor activator of NF-κB ligand (RANKL) and examined the effects of OSC on osteoclast (OC) differentiation, function, and intracellular reactive oxygen species (ROS) production. The impact of OSC on the expression of osteoclast-specific genes and inflammation-related factors was assessed using real-time quantitative PCR. Additionally, changes in oxidative stress-related factors, NF-κB, and MAPK signaling pathways were examined using western blotting. Finally, this study investigated the influence of OSC on a mouse cranial bone resorption model induced by titanium (Ti) particles in vivo. RESULTS: OSC inhibited OC differentiation and resorption and reduces intracellular ROS levels. Moreover, OSC suppressed IL-1ß, TNF-α, IL-6, and osteoclast-specific gene transcription while increasing Nrf2 and HO-1 protein expression. Furthermore, OSC inhibited the expression and autoregulation of the NFATc1 gene, ultimately leading to a reduction in Ti particle-induced bone resorption in mice. CONCLUSION: OSC could be regarded as an innovative medication for the treatment of osteoclast-associated inflammatory osteolytic diseases.

Corrigendum: Taxonomic and functional ß-diversity patterns reveal stochastic assembly rules in microbial communities of seagrass beds.

[This corrects the article DOI: 10.3389/fpls.2024.1367773.].

3D Bioprinted Tissue-Engineered Bone with Enhanced Mechanical Strength and Bioactivities: Accelerating Bone Defect Repair through Sequential Immunomodulatory Properties.

In this study, a new-generation tissue-engineered bone capable of temporally regulating the immune response, balancing proinflammatory and anti-inflammatory activities, and facilitating bone regeneration and repair to address the challenges of delayed healing and nonunion in large-sized bone defects, is innovatively developed. Using the innovative techniques including multiphysics-assisted combined decellularization, side-chain biochemical modification, and sterile freeze-drying, a novel photocurable extracellular matrix hydrogel, methacrylated bone-derived decellularized extracellular matrix (bdECM-MA), is synthesized. After incorporating the bdECM-MA with silicon-substituted calcium phosphate and bone marrow mesenchymal stem cells, the tissue-engineered bone is fabricated through digital light processing 3D bioprinting. This study provides in vitro confirmation that the engineered bone maintains high cellular viability while achieving MPa-level mechanical strength. Moreover, this engineered bone exhibits excellent osteogenesis, angiogenesis, and immunomodulatory functions. One of the molecular mechanisms of the immunomodulatory function involves the inhibition of the p38-MAPK pathway. A pioneering in vivo discovery is that the natural biomaterial-based tissue-engineered bone demonstrates sequential immunomodulatory properties that activate proinflammatory and anti-inflammatory responses in succession, significantly accelerating the repair of bone defects. This study provides a new research basis and an effective method for developing autogenous bone substitute materials and treating large-sized bone defects.

The mediating roles of caregiver needs and caregiver readiness in the relation between family resilience and benefit finding in family caregivers of patients with stroke in China.

OBJECTIVES: The purpose of this study was to assess the effects of family resilience, caregiver needs, and caregiver readiness on benefit finding for family caregivers of patients with stroke and to examine the mediating role of caregiver needs and caregiver readiness between family resilience and benefit finding. METHODS: In this cross-sectional study, convenience sampling was designed and used to recruit participants from three general hospitals in Jinan, Shandong Province, China, from February to September 2022, in which 340 participants completed the General Information Questionnaire, Chinese version of the Family Resilience Assessment Scale (C-FRAS), Caregiver Needs Assessment Scale (CNAS) Chinese version of the Caregiver Preparedness Scale (C-CPS), and Caregiver Benefit Finding Scale (CBFS). Model 6 in process version 4.0 was used to test the chain mediation model between family resilience and benefit finding for caregiver needs and caregiver readiness. RESULTS: Correlation analysis showed that benefit finding in family caregivers was positively associated with family resilience and caregiver readiness and negatively associated with caregiver needs; mediation model tests showed that the total indirect effect of family resilience on benefit finding was 0.163, with the specific mediating effects of caregiver needs and caregiver readiness accounting for 33.74% and 59.51%, and the chain mediating effect of both accounting for 6.75%. CONCLUSIONS: Family resilience not only directly influences benefit finding for family caregivers but also indirectly affects benefit finding through caregiver needs and caregiver readiness. Caregiver needs and caregiver readiness have a mediating role between family resilience and benefit finding in family caregivers.

Large-scale genetic correlation studies explore the causal relationship and potential mechanism between gut microbiota and COVID-19-associated risks.

Recent observational studies suggest that gut microorganisms are involved in the onset and development of coronavirus disease 2019 (COVID-19), but the potential causal relationship behind them remains unclear. Exposure data were derived from the MiBioGen consortium, encompassing 211 gut microbiota (n = 18,340). The outcome data were sourced from the COVID-19 host genetics initiative (round 7), including COVID-19 severity (n = 1,086,211), hospitalization (n = 2,095,324), and susceptibility (n = 2,597,856). First, a two-sample Mendelian randomization (TSMR) was performed to investigate the causal effect between gut microbiota and COVID-19 outcomes. Second, a two-step MR was used to explore the potential mediators and underlying mechanisms. Third, several sensitivity analyses were performed to verify the robustness of the results. Five gut microbes were found to have a potential causality with COVID-19 severity, namely Betaproteobacteria (beta = 0.096, p = 0.034), Christensenellaceae (beta = -0.092, p = 0.023), Adlercreutzia (beta = 0.072, p = 0.048), Coprococcus 1 (beta = 0.089, p = 0.032), Eisenbergiella (beta = 0.064, p = 0.024). Seven gut microbes were found to have a potential causality with COVID-19 hospitalization, namely Victivallaceae (beta = 0.037, p = 0.028), Actinomyces (beta = 0.047, p = 0.046), Coprococcus 2 (beta = -0.061, p = 0.031), Dorea (beta = 0.067, p = 0.016), Peptococcus (beta = -0.035, p = 0.049), Rikenellaceae RC9 gut group (beta = 0.034, p = 0.018), and Proteobacteria (beta = -0.069, p = 0.035). Two gut microbes were found to have a potential causality with COVID-19 susceptibility, namely Holdemanella (beta = -0.024, p = 0.023) and Lachnospiraceae FCS020 group (beta = 0.026, p = 0.027). Multi-omics mediation analyses indicate that numerous plasma proteins, metabolites, and immune factors are critical mediators linking gut microbiota with COVID-19 outcomes. Sensitivity analysis suggested no significant heterogeneity or pleiotropy. These findings revealed the causal correlation and potential mechanism between gut microbiota and COVID-19 outcomes, which may improve our understanding of the gut-lung axis in the etiology and pathology of COVID-19 in the future.

Identification of floral aroma components and molecular regulation mechanism of floral aroma formation in Phalaenopsis.

BACKGROUND: Most Phalaenopsis cultivars have almost no aroma, with a few exceptions. Phalaenopsis presents significant challenges in fragrance breeding due to its weak aroma and low fertility. It is therefore necessary to identify the aroma components and key regulatory genes in Phalaenopsis cultivars like 'Orange Beauty', 'Brother Sara Gold', 'Purple Martin', 'H026', 'SK16', 'SX098', and 'SH51', to improve the aroma of the common Phalaenopsis. RESULTS: Floral aroma components were tested on nine Phalaenopsis species, using smell identification and headspace gas chromatography-mass spectrometry. The result showed that alcohols, esters, and alkenes were the key specific components in the different species and cultivar aromas and the aroma intensity and component content of cultivars with different colors were different. The main components of the floral aromas in Phalaenopsis were alcohols (including eucalyptol, linalool, citronellol, and 1-hexanol), esters (including hexyl acetate, leaf acetate, and dibutyl phthalate), alkenes (including pinene and sabinene) and arenes (like fluorene). The transcriptome of flowers in the bud stage and bloom stage of P. 'SH51' was sequenced and 5999 differentially expressed genes were obtained. The contributions of the phenylpropionic acid/phenyl ring compound and the terpene compound to the aroma were greater. Sixteen genes related to phalaenopsis aroma were found. TC4M, PAL, CAD6, and HR were related to phenylpropanoid synthesis pathway. SLS, TS10, and P450 were related to the synthesis pathway of terpenes. TS10 and YUCCA 10 were involved in tryptophan metabolism. CONCLUSION: This is the first report on the floral aroma components and regulatory genes in Phalaenopsis. The proposed method and research data can provide technical support for Phalaenopsis breeding. © 2024 Society of Chemical Industry.

All-Solution-Processed Electronics with Sub-Microscale Resolution and Nanoscale Fidelity Fabricated Via a Humidity-Controlled, Surface Energy-Directed Assembly Process.

Solution-based processes have received considerable attention in the fabrication of electronics and sensors owing to their merits of being low-cost, vacuum-free, and simple in equipment. However, the current solution-based processes either lack patterning capability or have low resolution (tens of micrometers) and low pattern fidelity in terms of line edge roughness (LER, several micrometers). Here, we present a surface energy-directed assembly (SEDA) process to fabricate metal oxide patterns with up to 2 orders of magnitude improvement in resolution (800 nm) and LER (16 nm). Experiment results show that high pattern fidelity can be achieved only at low relative humidities of below 30%. The reason for this phenomenon lies in negligible water condensation on the solution droplet. Employing the SEDA process, all-solution-processed metal oxide thin film transistors (TFTs) are fabricated by using indium oxide as channel layers, indium tin oxide as source/drain electrodes and gate electrodes, and aluminum oxide as gate dielectrics. TFT-based logic gate circuits, including NOT, NOR, NAND, and AND are fabricated as well, demonstrating the applicability of the SEDA process in fabricating large area functional electronics.

Improving memory through choice and deliberation in decision-making: Evidence from ERPs.

The goal of decision-making is to select one option and disregard the others. However, deliberation can also create a memory association between the chosen and unchosen options. This study aims to investigate how choice and deliberation affect the memory of postdecision options and the underlying mechanisms. Using event-related potentials (ERPs), we examined item recognition (Experiment 1) and associative recognition (Experiment 2) following certain and uncertain decisions. In Experiment 1, items that were chosen in certain decisions were remembered better than unchosen items. There was no difference between chosen and unchosen items in uncertain decisions. Moreover, a late recollection-related LPC (a late positive component) old/new effect was larger for chosen items than unchosen items in certain decisions. The early familiarity-related FN400 and the late recollection-related LPC old/new effects were significant for chosen and unchosen items in uncertain decisions. In Experiment 2, there was no difference in performance on associative memory. A FN400 old/new effect (an index of integration) in certain or uncertain decisions was not observed. Although significant LPC old/new effects were found in both certain and uncertain decisions, no difference was found between them. These results propose that decision-making can enhance item memory performance through two distinct processes: value and elaboration. Elaboration involves focusing on the details within items rather than integrating items into a cohesive whole.

A lactate-responsive gene signature predicts the prognosis and immunotherapeutic response of patients with triple-negative breast cancer.

Background: Increased glycolytic activity and lactate production are characteristic features of triple-negative breast cancer (TNBC). The aim of this study was to determine whether a subset of lactate-responsive genes (LRGs) could be used to classify TNBC subtypes and predict patient outcomes. Methods: Lactate levels were initially measured in different breast cancer (BC) cell types. Subsequently, MDA-MB-231 cells treated with 2-Deoxy-d-glucose or l-lactate were subjected to RNA sequencing (RNA-seq). The gene set variation analysis algorithm was utilized to calculate the lactate-responsive score, conduct a differential analysis, and establish an association with the extent of immune infiltration. Consensus clustering was then employed to classify TNBC patients. Tumor immune dysfunction and exclusion, cibersort, single-sample gene set enrichment analysis, and EPIC, were used to compare the tumor-infiltrating immune cells between TNBC subtypes and predict the response to immunotherapy. Furthermore, a prognostic model was developed by combining 98 machine learning algorithms, to assess the predictive significance of the LRG signature. The predictive value of immune infiltration and the immunotherapy response was also assessed. Finally, the association between lactate and various anticancer drugs was examined based on expression profile similarity principles. Results: We found that the lactate levels of TNBC cells were significantly higher than those of other BC cell lines. Through RNA-seq, we identified 14 differentially expressed LRGs in TNBC cells under varying lactate levels. Notably, this LRG signature was associated with interleukin-17 signaling pathway dysregulation, suggesting a link between lactate metabolism and immune impairment. Furthermore, the LRG signature was used to categorize TNBC into two distinct subtypes, whereby Subtype A was characterized by immunosuppression, whereas Subtype B was characterized by immune activation. Conclusion: We identified an LRG signature in TNBC, which could be used to predict the prognosis of patients with TNBC and gauge their response to immunotherapy. Our findings may help guide the precision treatment of patients with TNBC.

Clinicopathologic and prognostic significance of tumor-associated macrophages in cervical cancer: a systematic review and meta-analysis.

OBJECTIVES: The role of tumor-associated macrophages (TAMs) in cervical cancer (CC) remains controversial. Here, we report a meta-analysis of the association between TAMs infiltration and clinical outcomes. METHODS: PubMed, Embase, Web of Science, and CNKI were searched systematically from inception until December 20, 2023. Studies involving TAMs and prognosis, clinical, or pathological features were included. Quality assessments of the selected studies were assessed. The fixed-effect or random-effects model, standard mean difference (SMD), odds ratios (OR), or hazard ratios (HR) with 95% confidence intervals (CIs) were used as the effect size estimate. RESULTS: 26 eligible studies with 2,295 patients were identified. Our meta-analysis revealed that TAMs were overexpressed in CC (OR = 12.93, 95% CI = 7.73-21.61 and SMD = 1.58, 95% CI = 0.95-2.21) and that elevated TAM levels were strongly associated with lymph node metastasis (LNM) (SMD = 0.51, 95% CI = 0.90-2.01) and FIGO stages (SMD = 0.46, 95% CI = 0.08-0.85). Subgroup analysis indicated a significant positive correlation between LNM and TAMs density in tumor stroma, but not in cancer nests (SMD = 0.58, 95% CI = 0.31-0.58). Furthermore, in early stage, a stronger correlation exists between LNM and TAM density (SMD = 1.21, 95% CI = 0.75-1.66). In addition, it revealed that patients with high TAMs expression had poorer overall survival (OS) (HR = 2.55 95% CI = 1.59-4.07) and recurrence-free survival (RFS) (HR = 2.17, 95% CI = 1.40-3.35). CONCLUSIONS: Our analyses suggest that a high density of TAMs predicts adverse outcomes in CC.

A multi-modality imaging strategy to determine the multiple in vivo fates of human umbilical cord mesenchymal stem cells at different periods of acute liver injury treatment.

Human umbilical cord mesenchymal stem cells (HUCMSCs) are applied for disease therapy as a new type of drug in many countries. Their effects are not only presented by live cells, but also apoptotic bodies or cell fragments of dead cells. Therefore, it is meaningful to determine the multiple fates of HUCMSCs in vivo. Although various probes combining different imaging modalities have been developed to label and trace transplanted HUCMSCs in vivo, the status of the cells (live, dead, or apoptotic) was not distinguished, and a thorough understanding of the multiple fates of HUCMSCs after transplantation in vivo is lacking. Therefore, a magnetic resonance (MR)/near infrared fluorescent (NIRF)/bioluminescence (BI) multi-modality imaging strategy was developed. Iron oxide nanoparticles (IONPs) were assembled into 100 nm nanoparticles using epigallocatechin gallate as a chemical linker to increase the MR signal and reduce the exocytosis of IONPs for direct cell labeling and longitudinal MR imaging tracking. Fluorescent probes for apoptosis (DEVD-Cy-OH) were also loaded in the above assemblies to monitor the cell status. Meanwhile, the cell surface was labeled with the fluorescent dye Cy7 via bioorthogonal reactions to visualize the NIRF signal. Luciferase was lentivirally transfected into live cells to generate bioluminescence. Such labeling did not affect either the viability, proliferation, migration, differentiation characteristics of HUCMSCs or their therapeutic effects on acute liver injury mice in vivo. The in vivo fates of HUCMSCs were monitored via MR/NIRF/BI multi-modality imaging in acute liver injury mice. Although MR and Cy7 signals aggregated in injured liver for 7 days, the BI signals persisted for less than 24 hours. There was an increase in DEVD-Cy-OH signals in the injured liver, but they were almost at the basal level. That means that HUCMSCs survive in mice for a short time, and the dead form of HUCMSCs accumulated in a large quantity and sustained for a long time, which might contribute to their therapeutic effect.

Lipocalin-2 inhibition alleviates neural injury by microglia ferroptosis suppression after experimental intracerebral hemorrhage in mice via enhancing ferritin light chain expression.

INTRODUCTION: Microglia play pivotal roles in post-intracerebral hemorrhage (ICH) neural injury. Iron metabolism, which is dysregulated after ICH, participates in microglial dysfunction. Previous studies have shown that iron metabolism-related lipocalin-2 (LCN2) is involved in regulating microglial function following ICH. In this study, we investigated the role of LCN2 in microglial function following ICH. METHODS: The BV2 (microglia) cell line, transfected with LCN2 for overexpression/interference, received a blood infusion from C57BL/6 mice in vitro. For the in vivo study of LCN2 function, an LCN2 knockout was conducted in mice. Liproxstatin-1 and RSL3 were used to manipulate ferroptosis and to study the effects of LCN2 on microglia after ICH. A BV2 (microglia) cell line, transfected with ferritin light chain (FTL) for overexpression/interference, was co-cultured with primary cultured neurons for a study on the mechanism of LCN2. Behavioral tests were conducted pre-ICH and on days 3, 7, and 28 post-ICH, and the brains and cultured cells were collected for protein, histological, and morphological studies. RESULTS: Brain LCN2 expression was upregulated in microglia, astrocytes, and neurons and played hazardous roles after ICH. In microglia, LCN2 promoted ferroptosis, which facilitated neural injury after ICH. LCN2-mediated FTL deficiency was shown to be responsible for microglial ferroptosis-induced neural injury. CONCLUSION: Our study suggests that LCN2-enhanced microglial ferroptosis plays a detrimental role by inducing FTL deficiency after ICH. The current study reveals a novel molecular mechanism involved in the pathophysiological progression of ICH.

Novel Lenslet-ARray-Integrated Spectacle Lenses for Myopia Control: A 1-Year Randomized, Double-Masked, Controlled Trial.

PURPOSE: To investigate the myopia control efficacy of novel Lenslet-ARray-Integrated (LARI) spectacle lenses with positive power lenslets (PLARI) and negative power lenslets (NLARI) worn for 1 year in myopic children. DESIGN: Randomized, double-masked, controlled clinical trial. PARTICIPANTS: A total of 240 children 6 to 12 years of age with spherical equivalent refraction (SER) between -4.00 and -1.00 diopters (D), astigmatism of ≤ 1.50 D, and anisometropia of ≤ 1.00 D. METHODS: Participants were assigned randomly in a 1:1:1 ratio to PLARI, NLARI, and control (single-vision [SV]) groups. Cycloplegic autorefraction and axial length were measured at baseline and 6-month intervals after lens wear. MAIN OUTCOME MEASURES: Changes in SER, axial elongation (AE), and differences between groups. RESULTS: After 1 year, SER changes and AE in the PLARI and NLARI groups were significantly less than those in the SV group (SER: -0.30 ± 0.48 D, -0.21 ± 0.35 D, and -0.66 ± 0.40 D, respectively; AE: 0.19 ± 0.20 mm, 0.17 ± 0.14 mm, 0.34 ± 0.18 mm, respectively; all P < 0.001). No significant differences were found in SER changes and AE between PLARI and NLARI groups (P = 0.54 and P = 1.00, respectively). Younger age was associated with more rapid SER increase and larger AE in the SV group (r = 0.40 [P < 0.001] and r = -0.59 [P < 0.001], respectively) and PLARI group (r = 0.46 [P < 0.001] and r = -0.52 [P < 0.001], respectively), but not in the NLARI group (r = -0.002 [P = 0.98] and r = -0.08 [P = 0.48], respectively). CONCLUSIONS: Compared with the SV group, both PLARI and NARI groups showed significantly slower myopia progression in terms of SER and AE. Faster myopia progression, in terms of both SER and AE, was associated with younger age in the SV and PLARI groups but not the NLARI group. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Cloning and characterization of the histone variant gene H2A.Z in Bombyx mori.

H2A.Z, the most evolutionarily conserved variant of histone H2A, plays a pivotal role in chromatin remodeling and contributes significantly to gene transcription and genome stability. However, the role of H2A.Z in the silkworm (Bombyx mori) remains unclear. In this study, we cloned the BmH2A.Z from B. mori. The open reading frame of BmH2A.Z is 390 bp, encoding 129 amino acids, with a confirmed molecular weight of 13.4 kDa through prokaryotic expression analysis. Sequence analysis revealed that BmH2A.Z has a conserved H2A.Z domain and is closely related to the systemic evolution of other known H2A.Zs. The expression profile of BmH2A.Z at various developmental stages of the B. mori exhibited the highest expression level in the 1st instar, followed by the grain stage and the 2nd instar, and the lowest expression level in the moth. The highest transcript level of BmH2A.Z was observed in the head, with relatively lower levels detected in the blood than in the other tissues under consideration. In addition, the upregulation of BmH2A.Z resulted in the amplified expression of B. mori nucleopolyhedrovirus (BmNPV) genes, thus facilitating the proliferation of BmNPV. This study establishes a foundation for investigating the role of BmH2A.Z in B. mori and its participation in virus-host interactions.

Oncological outcomes of fertility-sparing surgery versus radical surgery in stage - epithelial ovarian cancer: a systematic review and meta-analysis.

BACKGROUND: The oncological outcomes of fertility-sparing surgery (FSS) compared to radical surgery (RS) in patients with stage I epithelial ovarian cancer (EOC) remain a subject of debate. We evaluated the risk ratios (RRs) for outcomes in patients with stage I EOC who underwent FSS versus RS. METHODS: We conducted a systematic search of PubMed, Web of Science, and Embase for articles published up to November 29, 2023. Studies that did not involve surgical procedures or included pregnant patients were excluded. We calculated the RRs for disease-free survival, overall survival, and recurrence rate. The quality of the included studies was assessed using the Cochrane Risk of Bias in Nonrandomized Studies of Interventions (ROBINS-I) tool. The meta-analysis was registered on PROSPERO (CRD42024546460). RESULTS: From the 5,529 potentially relevant articles, we identified 83 articles for initial screening and included 12 articles in the final meta-analysis, encompassing 2,906 patients with epithelial ovarian cancer. There were no significant differences between the two groups in disease-free survival (RR [95% confidence interval {CI}], 0.90 [0.51, 1.58]; P = 0.71), overall survival (RR [95% CI], 0.74 [0.53, 1.03]; P = 0.07), and recurrence rate (RR [95% CI], 1.10 [0.69, 1.76]; P = 0.68). In sensitivity analyses, the significant difference was observed only for overall survival (before exclusion: RR [95% CI], 0.74 [0.53-1.03], P = 0.07; after exclusion: RR [95% CI], 0.70 [0.50-0.99]; P = 0.04). CONCLUSIONS: This is the first and only individual patient data meta-analysis comparing disease-free survival, overall survival, and recurrence rate of patients with early-stage epithelial ovarian cancer undergoing FSS and RS. FSS was associated with similar disease-free survival and risk of recurrence as RS. We hypothesized that the decreased overall survival in the FSS group could not be attributed to distant metastases from epithelial ovarian cancer.

Epitaxial Growth of Monolayer SnP3 with High Mobility and Chiral Boundary Junctions.

Two-dimensional materials with layered structures, appropriate band gaps, and high carrier mobility have attracted tremendous interest for their potential applications. Here we report the growth of monolayer SnP3 on Au(111) surfaces by molecular beam epitaxy. The kinetic processes for the growth and the crystalline properties are studied by scanning tunneling microscopy. The weak interaction between SnP3 and its Au(111) substrate is signified by the random crystal orientation distributions of SnP3 nanosheets. The electronic structures exhibit a band gap of ∼0.25 eV and high charge carrier mobility comparable to that of black phosphorus engineered by compressive strain. Additionally, domain boundary junctions with opposite chirality are observed, resulting from the strained film in the epitaxial growth process. Our work provides a method to fabricate high-quality monolayer SnP3 and suggests that the monolayer SnP3 is a promising candidate for applications in nanoelectronics and optoelectronics.

Development of a high-speed and ultrasensitive UV/Vis-CM for detecting total triterpenes in traditional Chinese medicine and its application.

This study proposes a novel colorimetric method based on the ultraviolet/visible spectrophotometry-colorimetric method (UV/Vis-CM) for detecting and quantifying total triterpenoids in traditional Chinese medicine. By incorporating the colourants 2-hydroxy-5-methylbenzaldehyde and concentrated sulfuric acid, triterpenoid compounds colour development became more sensitive, and the detection accuracy was significantly improved. 2-hydroxy-5-methylbenzaldehyde and concentrated sulfuric acid were incorporated in a 1:3 vol ratio at room temperature to react with the total triterpenes for 25 min, incorporated to an ice bath for 5 min, and then detected at the optimal absorption wavelength. The accuracy and reliability of this method were verified by comparison with high-performance liquid chromatography and four other colorimetric methods. Additionally, this approach has the advantages of not requiring heating during operation, high sensitivity, short usage time, low solvent usage, and low equipment costs. This study not only offers a reliable method for detecting total triterpenes in traditional Chinese medicine but also offers a rapid detection tool for on-site testing and large-scale screening, laying a foundation for the modernization of traditional Chinese medicine research, quality control, and drug development.

Oral vaccination with a recombinant Lactobacillus plantarum expressing the Eimeria tenella rhoptry neck 2 protein elicits protective immunity in broiler chickens infected with Eimeria tenella.

BACKGROUND: Chicken coccidiosis is a protozoan disease that leads to considerable economic losses in the poultry industry. Live oocyst vaccination is currently the most effective measure for the prevention of coccidiosis. However, it provides limited protection with several drawbacks, such as poor immunological protection and potential reversion to virulence. Therefore, the development of effective and safe vaccines against chicken coccidiosis is still urgently needed. METHODS: In this study, a novel oral vaccine against Eimeria tenella was developed by constructing a recombinant Lactobacillus plantarum (NC8) strain expressing the E. tenella RON2 protein. We administered recombinant L. plantarum orally at 3, 4 and 5 days of age and again at 17, 18 and 19 days of age. Meanwhile, each chick in the commercial vaccine group was immunized with 3 × 102 live oocysts of coccidia. A total of 5 × 104 sporulated oocysts of E. tenella were inoculated in each chicken at 30 days. Then, the immunoprotection effect was evaluated after E. tenella infection. RESULTS: The results showed that the proportion of CD4+ and CD8+ T cells, the proliferative ability of spleen lymphocytes, inflammatory cytokine levels and specific antibody titers of chicks immunized with recombinant L. plantarum were significantly increased (P < 0.05). The relative body weight gains were increased and the number of oocysts per gram (OPG) was decreased after E. tenella challenge. Moreover, the lesion scores and histopathological cecum sections showed that recombinant L. plantarum can significantly relieve pathological damage in the cecum. The ACI was 170.89 in the recombinant L. plantarum group, which was higher than the 150.14 in the commercial vaccine group. CONCLUSIONS: These above results indicate that L. plantarum expressing RON2 improved humoral and cellular immunity and enhanced immunoprotection against E. tenella. The protective efficacy was superior to that of vaccination with the commercial live oocyst vaccine. This study suggests that recombinant L. plantarum expressing the RON2 protein provides a promising strategy for vaccine development against coccidiosis.

Development and validation of a LASSO prediction model for cisplatin induced nephrotoxicity: a case-control study in China.

BACKGROUND: Early identification of high-risk individuals with cisplatin-induced nephrotoxicity (CIN) is crucial for avoiding CIN and improving prognosis. In this study, we developed and validated a CIN prediction model based on general clinical data, laboratory indications, and genetic features of lung cancer patients before chemotherapy. METHODS: We retrospectively included 696 lung cancer patients using platinum chemotherapy regimens from June 2019 to June 2021 as the traing set to construct a predictive model using Absolute shrinkage and selection operator (LASSO) regression, cross validation, and Akaike's information criterion (AIC) to select important variables. We prospectively selected 283 independent lung cancer patients from July 2021 to December 2022 as the test set to evaluate the model's performance. RESULTS: The prediction model showed good discrimination and calibration, with AUCs of 0.9217 and 0.8288, sensitivity of 79.89% and 45.07%, specificity of 94.48% and 94.81%, in the training and test sets respectively. Clinical decision curve analysis suggested that the model has value for clinical use when the risk threshold ranges between 0.1 and 0.9. Precision-Recall (PR) curve shown in recall interval from 0.5 to 0.75: precision gradually declines with increasing Recall, up to 0.9. CONCLUSIONS: Predictive models based on laboratory and demographic variables can serve as a beneficial complementary tool for identifying high-risk populations with CIN.