Boosting Enzyme Activity in Enzyme Metal-Organic Framework Composites.

Enzymes, as highly efficient biocatalysts, excel in catalyzing diverse reactions with exceptional activity and selective properties under mild conditions. Nonetheless, their broad applications are hindered by their inherent fragility, including low thermal stability, limited pH tolerance, and sensitivity to organic solvents and denaturants. Encapsulating enzymes within metal-organic frameworks (MOFs) can protect them from denaturation in these harsh environments. However, this often leads to a compromised enzyme activity. In recent years, extensive research efforts have been dedicated to enhancing enzymatic activity within MOFs, leading to the development of new enzyme-MOF composites that not only preserve their catalytic potential but also outperform their free counterparts. This Review provides a comprehensive review on recent developments in enzyme-MOF composites with a specific emphasis on their enhanced enzymatic activity compared to free enzymes.

Serum PYCARD may become a new diagnostic marker for rheumatoid arthritis patients.

BACKGROUND: The objective of this investigation is to analyze the levels and clinical relevance of serum PYCARD (Pyrin and CARD domain-containing protein, commonly known as ASC-apoptosis-associated speck-like protein containing a caspase activation and recruitment domain), interleukin-38 (IL-38), and interleukin-6 (IL-6) in individuals afflicted with rheumatoid arthritis (RA). METHODS: Our study comprised 88 individuals diagnosed with RA who sought medical attention at the Affiliated Hospital of Chengde Medical University during the period spanning November 2021 to June 2023, constituting the test group. Additionally, a control group of 88 individuals who underwent health assessments at the same hospital during the aforementioned timeframe was included for comparative purposes. The study involved the assessment of IL-38, IL-6, PYCARD, anti-cyclic citrullinated peptide antibody (anti-CCP), and erythrocyte sedimentation rate (ESR) levels in both groups. The research aimed to explore the correlations and diagnostic efficacy of these markers, employing pertinent statistical analyses for comprehensive evaluation. RESULTS: The test group had higher expression levels of PYCARD, IL-6, and IL-38 than the control group (P < 0.05). Based on the correlation analysis, there was a strong relationship between PYCARD and IL-38 (P < 0.01). The receiver operating characteristic (ROC) curve analysis revealed area under the curve (AUC) values of 0.97, 0.96, and 0.96 when using combinations of PYCARD and anti-CCP, IL-38 and anti-CCP, and IL-6 and anti-CCP for predicting RA, respectively. Importantly, all three of these pairs demonstrated superior AUC values compared to PYCARD, IL-38, IL-6, ESR, or anti-CCP used as standalone diagnostic indicators. CONCLUSION: PYCARD, IL-6, and IL-38 exhibit promising potential as novel diagnostic markers and may constitute valuable tools for supporting the diagnosis of RA.

Phenolic constituents from the branches of Viburnum chinshanense as potential α-amylase and α-glucosidase inhibitory agents.

This paper reports the isolation of two undescribed phenolic glycosides (1 and 2), together with seven known compounds (3-9) from the branches of Viburnum chinshanense. The structures of undescribed compounds were elucidated by comprehensive spectroscopic methods (1D NMR, 2D NMR, and HRESIMS). The sugar units of compounds 1 and 2 were identified by acid hydrolysis and HPLC analysis of the chiral derivatives of the monosaccharides. Furthermore, the α­amylase and α-glucosidase inhibitory activities of all isolates were evaluated and compounds 1, 5, and 8 displayed potential α­amylase and α-glucosidase inhibitory activities. The molecular docking analyses of compounds 1 and 8 with the potent inhibition towards the target enzymes were also performed.

Historical context, process, and development trends of pediatric thyroid cancer research: a bibliometric analysis.

Objective: At present, the structure of knowledge in the field of childhood thyroid cancer is not clear enough, and scholars lack a sufficient understanding of the developing trends in this field, which has led to a shortage of forward-looking outputs. The purpose of this research is to help scholars construct a complete knowledge framework and identify current challenges, opportunities, and development trends. Methods: We searched the literature in the Web of Science Core Collection database on August 7, 2023 and extracted key information from the top 100 most cited articles, such as the countries, institutions, authors, themes, and keywords. We used bibliometric tools such as bibliometrix, VOSviewer, and CiteSpace for a visualization analysis and Excel for statistical descriptions. Results: The top 100 most cited articles fluctuated over time, and the research was concentrated in European countries, the United States, and Japan, among which scientific research institutions and scholars from the United States made outstanding contributions. Keyword analysis revealed that research has shifted from simple treatment methods for pediatric thyroid cancer (total thyroidectomy) and inducing factors (the Chernobyl power station accident) to the clinical applications of genetic mutations (such as the BRAF and RET genes) and larger-scale genetic changes (mutation studies of the DICER1 gene). The thematic strategy analysis showed an increasing trend towards the popularity of fusion oncogenes, while the popularity of research on traditional treatments and diagnostics has gradually declined. Conclusion: Extensive research has been conducted on the basic problems of pediatric thyroid cancer, and there has been significant outputs in the follow-up and cohort analysis of conventional diagnostic and treatment methods. However, these methods still have certain limitations. Therefore, scholars should focus on exploring fusion genes, the clinical applications of molecular targets, and novel treatment methods. This study provides a strong reference for scholars in this field.

An Evidence-Based Medical Review on Promoting Gastrointestinal Function Recovery After Colorectal Cancer Surgery.

Objective: The objective of this study was to search for, evaluate, and summarize data related to a faster postoperative recovery in patients with colorectal cancer (CRC) based on literature from China as well as internationally. This will serve as an evidence-based foundation for the clinical implementation of enhanced postoperative recovery of gastrointestinal function in patients with CRC. Methods: Based on the hierarchical "6S" evidence model, we conducted a systematic search of computerized decision-support systems, guideline websites, as well as domestic and international databases for evidence, guidelines, expert consensus statements, clinical decision-making, best practices, evidence summaries, and systematic reviews of interventions focusing on accelerating gastrointestinal function rehabilitation after CRC surgery. The time limit for the search was from the date of creation of the database to January 2023. Two researchers evaluated the quality of the literature that was included, and we extracted data and summarized the evidence from those publications that fulfilled the quality criteria. Results: The review included a total of 21 publications, comprising 6 guidelines, 6 systematic reviews, 3 expert consensus statements, 4 randomized controlled trials, and 2 evidence summaries. We summarized 51 best evidence findings across five areas: organizational management, preoperative risk assessment, education, intraoperative monitoring, and postoperative management. Conclusion: There is a wide variety and wealth of information available on interventions to promote enhanced postoperative recovery of gastrointestinal function in patients with CRC. The use of evidence is discussed, keeping in mind the practical situation in China.

A novel electrode for simultaneous detection of multiple heavy metal ions without pre-enrichment in food samples.

Integrating a pre-enrichment step into electrochemical detection methodologies has traditionally been employed to enhance the performance of heavy metal detection. However, this augmentation also introduces a degree of intricacy into the sensing process and increases energy consumption. In this work, Mo-doped WO3 is grown in situ on carbon cloth by one-step electrodeposition. The electrode detect multiple heavy metal ions simultaneously in the range of 0.1-100.0 µM with LODs ranging from 11.2 to 17.1 nM. The electrode successfully detected heavy metal ions in diverse food samples. This pioneering detection strategy realized the direct and simultaneous detection of multiple heavy metal ions by utilizing the valence property of WO3 and oxygen vacancies generated by molybdenum doping. The Mo-WO3/CC pre-enrichment-free detection electrode boasts straightforward preparation, a streamlined detection procedure, swift response kinetics, and superior performance relative to previously reported electrodes, which makes it possible to develop a portable heavy metal ion detection device.

Brain magnetic resonance imaging findings in children with neurological complications of coronavirus disease 2019 (Omicron variant): a multicenter retrospective observational study.

BACKGROUND: An increasing rate of encephalopathy associated with coronavirus disease 2019 (COVID-19) has been observed among children. However, the literature on neuroimaging data in children with COVID-19 is limited. OBJECTIVE: To analyze brain magnetic resonance imaging (MRI) of pediatric COVID-19 patients with neurological complications. MATERIALS AND METHODS: This multicenter retrospective observational study analyzed clinical (n=102, 100%) and neuroimaging (n=93, 91.2%) data of 102 children with COVID-19 infections and comorbid acute neurological symptoms. These children were hospitalized at five pediatric intensive care units (PICUs) in China between December 1, 2022, and January 31, 2023. RESULTS: All patients were positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as detected via reverse transcriptase polymerase chain reaction. About 75.7% of the children were infected with the Omicron variant BF.7 strain. Brain MRI was performed 1-12 days following the onset of neurological symptoms, which revealed acute neuroimaging findings in 74.2% (69/93) of cases, including evidence of acute necrotizing encephalopathy (33/69, 47.8%), encephalitis (31/69, 44.9%), reversible splenial lesion syndrome (3/69, 4.3%), reversible posterior leukoencephalopathy (1/69, 1.4%), and hippocampal atrophy (1/69, 1.4%). CONCLUSIONS: Overall, these data highlighted five neuroimaging patterns associated with the outbreak of the SARS-CoV-2 Omicron variant, with acute necrotizing encephalopathy being the most common of these neuroimaging findings. Rarely, the brain MRI of these pediatric COVID-19 patients also demonstrate hippocampal atrophy.

Particle-Based Artificial Antigen-Presenting Cell Systems for T Cell Activation in Adoptive T Cell Therapy.

T cell-based adoptive cell therapy (ACT) has emerged as a promising treatment for various diseases, particularly cancers. Unlike other immunotherapy modalities, ACT involves directly transferring engineered T cells into patients to eradicate diseased cells; hence, it necessitates methods for effectively activating and expanding T cells in vitro. Artificial antigen-presenting cells (aAPCs) have been widely developed based on biomaterials, particularly micro- and nanoparticles, and functionalized with T cell stimulatory antibodies to closely mimic the natural T cell-APC interactions. Due to their vast clinical utility, aAPCs have been employed as an off-the-shelf technology for T cell activation in FDA-approved ACTs, and the development of aAPCs is constantly advancing with the emergence of aAPCs with more sophisticated designs and additional functionalities. Here, we review the recent advancements in particle-based aAPCs for T cell activation in ACTs. Following a brief introduction, we first describe the manufacturing processes of ACT products. Next, the design and synthetic strategies for micro- and nanoparticle-based aAPCs are discussed separately to emphasize their features, advantages, and limitations. Then, the impact of design parameters of aAPCs, such as size, shape, ligand density/mobility, and stiffness, on their functionality and biomedical performance is explored to provide deeper insights into the design concepts and principles for more efficient and safer aAPCs. The review concludes by discussing current challenges and proposing future perspectives for the development of more advanced aAPCs.

Visualization Analysis of Artificial Intelligence Literature in Forensic Research.

OBJECTIVES: To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database, to explore research hotspots and developmental trends. METHODS: A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the literature measuring tool CiteSpace. The authors, institution, country (region), title, journal, keywords, cited references and other information of relevant literatures were analyzed. RESULTS: A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries (regions) were identified, with the number of articles published showing an increasing trend year by year. Among them, the United States had the highest number of publications and China ranked the second. Academy of Forensic Science had the highest number of publications among the institutions. Forensic Science International, Journal of Forensic Sciences, International Journal of Legal Medicine ranked high in publication and citation frequency. Through the analysis of keywords, it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technology for sex and age estimation, cause of death analysis, postmortem interval estimation, individual identification and so on. CONCLUSIONS: It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research. Exploring the combination of advanced artificial intelligence technologies with forensic research will be a hotspot and direction for future research.

Pulmonary Epstein-Barr virus-associated smooth muscle tumor after kidney transplantation: two case reports with review of differential diagnosis.

Pulmonary nodules are a common complication in solid organ transplant recipients, and may have various underlying causes, with Epstein-Barr virus-associated smooth muscle tumor (EBV-SMT) being one of them. Given the rarity of this entity, we describe the diagnosis and therapeutic interventions for post-transplant EBV-SMT in two individuals. Both cases involved female patients who were diagnosed with multiple pulmonary nodules 60 months and 116 months, respectively, after receiving living-related kidney transplantation. Pathological examination revealed a spindle cell tumor, with immunophenotype and EBV in situ hybridization supporting the diagnosis of EBV-SMT. After diagnosis, these two patients underwent intervention by decreasing their intake of immunosuppressants. As of the latest follow-up, the patients' lesion size remained stable, and their overall condition was favorable. We also reviewed literature about the morphological and molecular pathological features of EBV-SMT and highlighted the diagnosis and differential diagnosis of pulmonary spindle cell lesions especially in the setting of immunosuppression.

Development of Cost-Effective Fatty Liver Disease Prediction Models in a Chinese Population: Statistical and Machine Learning Approaches.

BACKGROUND: The increasing prevalence of nonalcoholic fatty liver disease (NAFLD) in China presents a significant public health concern. Traditional ultrasound, commonly used for fatty liver screening, often lacks the ability to accurately quantify steatosis, leading to insufficient follow-up for patients with moderate-to-severe steatosis. Transient elastography (TE) provides a more quantitative diagnosis of steatosis and fibrosis, closely aligning with biopsy results. Moreover, machine learning (ML) technology holds promise for developing more precise diagnostic models for NAFLD using a variety of laboratory indicators. OBJECTIVE: This study aims to develop a novel ML-based diagnostic model leveraging TE results for staging hepatic steatosis. The objective was to streamline the model's input features, creating a cost-effective and user-friendly tool to distinguish patients with NAFLD requiring follow-up. This innovative approach merges TE and ML to enhance diagnostic accuracy and efficiency in NAFLD assessment. METHODS: The study involved a comprehensive analysis of health examination records from Suzhou Municipal Hospital, spanning from March to May 2023. Patient data and questionnaire responses were meticulously inputted into Microsoft Excel 2019, followed by thorough data cleaning and model development using Python 3.7, with libraries scikit-learn and numpy to ensure data accuracy. A cohort comprising 978 residents with complete medical records and TE results was included for analysis. Various classification models, including logistic regression (LR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), light gradient boosting machine (LightGBM), and extreme gradient boosting (XGBoost), were constructed and evaluated based on the area under the receiver operating characteristic curve (AUROC). RESULTS: Among the 916 patients included in the study, 273 were diagnosed with moderate-to-severe NAFLD. The concordance rate between traditional ultrasound and TE for detecting moderate-to-severe NAFLD was 84.6% (231/273). The AUROC values for the RF, LightGBM, XGBoost, SVM, KNN, and LR models were 0.91, 0.86, 0.83, 0.88, 0.77, and 0.81, respectively. These models achieved accuracy rates of 84%, 81%, 78%, 81%, 76%, and 77%, respectively. Notably, the RF model exhibited the best performance. A simplified RF model was developed with an AUROC of 0.88, featuring 62% sensitivity and 90% specificity. This simplified model used 6 key features: waist circumference, BMI, fasting plasma glucose, uric acid, total bilirubin, and high-sensitivity C-reactive protein. This approach offers a cost-effective and user-friendly tool while streamlining feature acquisition for training purposes. CONCLUSIONS: The study introduces a groundbreaking, cost-effective ML algorithm that leverages health examination data for identifying moderate-to-severe NAFLD. This model has the potential to significantly impact public health by enabling targeted investigations and interventions for NAFLD. By integrating TE and ML technologies, the study showcases innovative approaches to advancing NAFLD diagnostics.

ROS-induced oxidative stress and mitochondrial dysfunction: a possible mechanism responsible for noise-induced ribbon synaptic damage.

Evidence suggests that damage to the ribbon synapses (RS) may be the main cause of auditory dysfunction in noise-induced hearing loss (NIHL). Oxidative stress is implicated in the pathophysiology of synaptic damage. However, the relationship between oxidative stress and RS damage in NIHL remains unclear. To investigate the hypothesis that noise-induced oxidative stress is a key factor in synaptic damage within the inner ear, we conducted a study using mice subjected to single or repeated noise exposure (NE). We assessed auditory function using auditory brainstem response (ABR) test and examined cochlear morphology by immunofluorescence staining. The results showed that mice that experienced a single NE exhibited a threshold shift and recovered within two weeks. The ABR wave I latencies were prolonged, and the amplitudes decreased, suggesting RS dysfunction. These changes were also demonstrated by the loss of RS as evidenced by immunofluorescence staining. However, we observed threshold shifts that did not return to baseline levels following secondary NE. Additionally, ABR wave I latencies and amplitudes exhibited notable changes. Immunofluorescence staining indicated not only severe damage to RS but also loss of outer hair cells. We also noted decreased T-AOC, ATP, and mitochondrial membrane potential levels, alongside increased hydrogen peroxide concentrations post-NE. Furthermore, the expression levels of 4-HNE and 8-OHdG in the cochlea were notably elevated. Collectively, our findings suggest that the production of reactive oxygen species leads to oxidative damage in the cochlea. This mitochondrial dysfunction consequently contributes to the loss of RS, precipitating an early onset of NIHL.

The function of tRNA-derived small RNAs in cardiovascular diseases.

tRNA-derived small RNAs (tsRNAs) constitute a subgroup of small noncoding RNAs (ncRNAs) originating from tRNA molecules. Their rich content, evolutionary conservatism, high stability, and widespread existence makes them significant in disease research. These characteristics have positioned tsRNAs as key players in various physiological and pathological processes. tsRNA actively participates in regulating many cellular processes, such as cell death, proliferation, and metabolism. tsRNAs could be promising diagnostic markers for cardiovascular diseases (CVDs). tsRNAs have been identified in serums, suggesting their utility as early indicators for the diagnosis of CVDs. Moreover, the regulatory roles of tsRNAs in CVDs make them promising targets for therapeutic intervention. This review provides a succinct overview of the characteristics, classification, and regulatory functions of tsRNAs in the context of CVDs. By shedding light on the intricate roles of tsRNAs, this knowledge could pave the way for the development of innovative diagnostic tools and therapeutic strategies for CVDs.

Survival benefit of surgery for second primary esophageal cancer following gastrointestinal cancer: a population-based study.

BACKGROUND: The incidence of second primary malignancy is increasing. However, although there is some information on second primary esophageal cancer (SPEC) itself, there is no study or guideline on the use of surgery for SPEC after gastrointestinal cancer (SPEC-GC). Thus, this study aimed to gather evidence for the benefits of surgery by analyzing a national cohort and determining the prognostic factors and clinical treatment decisions for SPEC-GC. METHODS: Data for patients with SPEC-GC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2019. The prognostic factors of SPEC-GC were investigated by stepwise Cox proportional hazards regression and Kaplan-Meier analyses for overall survival and cancer-specific survival. RESULTS: A total of 8308 patients with SPEC were selected, including 582 patients with SPEC-GC. Multivariate analysis revealed that surgery, year of diagnosis, scope of regional lymph node surgery, tumor differentiation grade, SEER historic stage, and triple therapy were significant predictors of survival outcomes (P < .05). Surgery seemed to improve the prognosis of patients with SPEC-GC significantly compared with no surgery and chemoradiotherapy (P < .001). CONCLUSIONS: Surgery should be considered as the main treatment for SPEC-GC. Surgery, year of diagnosis, scope of regional lymph node surgery, tumor differentiation grade, SEER historic stage, and triple therapy were found to be independent prognostic factors for these patients. These factors should be considered in the clinical diagnosis and treatment of SPEC-GC.

Sensitive Electrochemical Detection of Ammonia Nitrogen via a Platinum-Zinc Alloy Nanoflower-Modified Carbon Cloth Electrode.

As a common water pollutant, ammonia nitrogen poses a serious risk to human health and the ecological environment. Therefore, it is important to develop a simple and efficient sensing scheme to achieve accurate detection of ammonia nitrogen. Here, we report a simple fabrication electrode for the electrochemical synthesis of platinum-zinc alloy nanoflowers (PtZn NFs) on the surface of carbon cloth. The obtained PtZn NFs/CC electrode was applied to the electrochemical detection of ammonia nitrogen by differential pulse voltammetry (DPV). The enhanced electrocatalytic activity of PtZn NFs and the larger electrochemical active area of the self-supported PtZn NFs/CC electrode are conducive to improving the ammonia nitrogen detection performance of the sensitive electrode. Under optimized conditions, the PtZn NFs/CC electrode exhibits excellent electrochemical performance with a wide linear range from 1 to 1000 µM, a sensitivity of 21.5 µA µM-1 (from 1 µM to 100 µM) and a lower detection limit of 27.81 nM, respectively. PtZn NFs/CC electrodes show excellent stability and anti-interference. In addition, the fabricated electrochemical sensor can be used to detect ammonia nitrogen in tap water and lake water samples.

Single versus double blastocyst transfer in first and second frozen-thawed embryo transfer cycle in advance-aged women: a two-center retrospective cohort study.

BACKGROUND: The present evidence is deficient for the trade-offs between the pros and cons of single blastocyst transfer (SBT) versus double blastocyst transfer (DBT) in frozen-thawed embryo transfer cycles for women in advanced reproductive age, especially in the second cycle. The current study aimed to investigate the impact of transferred blastocyst numbers on pregnancy outcomes in the first and second embryo transfer for women ≥ 35 years. METHODS: This was a retrospective cohort study including 1284 frozen-thawed blastocyst transfer (FBT) cycles from two reproductive centers. We analyzed the pregnancy outcomes after SBT and DBT in the first and second FBT cycles. Moreover, stratified analysis was conducted by maternal age. RESULTS: In the first FBT cycle, the LBR was higher in the DBT group than that in the SBT group [52.3% vs. 33.9%; adjusted odds ratio (aOR), 1.65; 95% confidence interval (CI), 1.26-2.15, P < 0.001]. However, the LBR of the DBT group showed no remarkable difference compared with that of the SBT group in the second cycle of FBT (44.3% vs. 33.3%; aOR, 1.30; 95% CI, 0.81-2.08; P = 0.271). Furthermore, stratified analysis by age showed a higher LBR for the DBT group than the SBT group in patients aged 38-42 years (43.1% vs. 33.9%; aOR, 2.27; 95% CI, 1.05-4.90; P = 0.036). CONCLUSIONS: The present study demonstrated that the SBT regimen is a better choice for both, the first and second frozen-thawed embryo transfer cycles, for women aged 35-37 years. Additionally, the DBT regimen is still recommended to achieve a high LBR in women aged 38-42 years in the second FBT cycle. These findings may be beneficial for deciding the embryo transfer regimens in women of advanced reproductive age.

Ling-Gui-Zhu-Gan decoction protects against doxorubicin-induced myocardial injury by downregulating ferroptosis.

OBJECTIVE: To investigate the mechanism of Ling-Gui-Zhu-Gan decoction (LGZGD) protects against doxorubicin (DOX)-induced myocardial injury. METHODS: In vivo experiment, rats were divided into six groups: normal group, model group (15 mg/kg, DOX), Dex group(150 mg/kg, Dex), LGZGD-L group (2.1 g/kg), LGZGD-M group (4.2 g/kg), and LGZGD-H group (8.4 g/kg). We used HE and Masson staining to observe the histopathological changes, echocardiography to assess the cardiac function, and western blot and RT-qPCR to detect the expressions of Nrf2, GPX4, Fpn1, and Ptgs2. In vitro experiment, we used immunofluorescence to detect ROS production, and RT-qPCR to detect gene expression of GPX4, Fpn1, and Ptgs2. KEY FINDINGS: In vivo, LGZGD improved cardiac systolic function. LGZGD significantly reduced MDA, LDH, and CK levels, increased SOD activity, enhanced the protein expression of Nrf2, GPX4, and Fpn1, and decreased Ptgs2 levels. In vitro, LGZGD-containing serum significantly reduced ROS, increased the gene expression of GPX4 and Fpn1, and decreased the gene expression of Ptgs2. Furthermore, compared with the LGZGD (si-NC) group, the LGZGD (si-Nrf2) group had decreased gene expression of Nrf2, GPX4, and Fpn1 and increased gene expression of Ptgs2. CONCLUSIONS: LGZGD can ameliorate DOX-cardiotoxicity by activating the Nrf2 signaling pathway and inhibiting ferroptosis in cardiomyocytes.

A new multi-template molecularly imprinted polymer for separation and purification of dioscin, protodioscin, and diosgenin from purple yam.

Saponin is an essential natural compound in purple yams with high nutritional and medicinal value. In this work, a multitemplate molecule-imprinted polymer (MMIP) was synthesized with dioscin, protodioscin, and diosgenin templates. The MMIPs were characterized with scanning electron microscopy, thermogravimetric analysis, Brunauer-Emmett-Teller (BET) adsorption, and Fourier transform infrared spectroscopy. The efficacy of the MMIPs was assessed with static, dynamic, selective adsorption, desorption, and reusability experiments. The three saponins were selectively extracted and determined by MMIP-high-performance liquid chromatography. The polymer morphology was regular and spherical. The amount of the MMIP adsorbed was 74.825 mg/g, and the imprinting factor was 2.1. The MMIP adsorbed the three saponins from purple yam extract, with recovery rates of 95.5-103.43 % and desorption rates of 85 %-98 %. In addition, the MMIPs were reused at least six times. These results demonstrated that the MMIPs efficiently and selectively extracted dioscin, protodioscin, and diosgenin from food matrices at high rates.

Effect of paternal body mass index on maternal and child-health outcomes of singletons after frozen-thawed embryo transfer cycles: a retrospective study.

The objective was to analyze the effect of paternal body mass index (BMI) on maternal and child-health outcomes of singletons after frozen-thawed embryo transfer (FET) cycles. A retrospective cohort study was conducted between January 2019 and December 2021. Pregnancy, perinatal complications and neonatal outcomes were compared among different paternal BMI. Multivariate logistic regression was performed to evaluate the relationship between different paternal BMI and pregnancy, obstetric and neonatal outcomes. The paternal normal group was more likely to suffer from gestational hypertension than the paternal obesity group (3.59% vs. 2.42%), and paternal underweight group was more likely to suffer from preeclampsia than the other three groups (11.63% vs. 4.43%, 7.57%, 4.03%). Birthweight among infants in the paternal overweight categories was significantly higher than infants in the paternal normal weight categories. The rate of foetal macrosomia was higher among infants in the paternal overweight (12.36%) category, while lower among infants in the paternal underweight categories (2.33%). The incidence of macrosomia in the paternal overweight categories (aOR 1.527, 95% CI 1.078-2.163) was significantly higher than those normal controls after adjustment for known confounding factors. The rates of LGA babies were higher in the paternal overweight category (aOR 1.260, 95% CI 1.001-1.587) compared with those in the paternal normal weight category, before and after adjustment. The results suggest that parental pre-pregnancy overweight or obesity has an adverse effect on the perinatal complications and neonatal outcomes.

Boron-Doped Engineering for Carbon Quantum Dots-Based Memristors with Controllable Memristance Stability.

Carbon quantum dots-based memristors (CQDMs) have emerged as a rising star in data storage and computing. The key constraint to their commercialization is memristance variability, which mainly arises from the disordered conductive paths. Doping methodology can optimize electron and ion transport to help construct a stable conductive mode. Herein, based on boron (B)-doped engineering strategy, three kinds of comparable quantum dots are synthesized, including carbon quantum dots (CQDs), a series of boron-doped CQDs (BCQDs) with different B contents, and boron quantum dots. The corresponding device performances highlight the superiority of BCQDs-based memristors, exhibiting a ternary flash-type memory behavior with longer retention time and more controllable memristance stability. The comprehensive analysis results, including device performance, functional layer morphology, and material simulated calculation, illustrate that the doped B elements can directionally guide the migration of aluminum ions by enhancing the capture of free electrons, resulting in ordered conductive filaments and stable ternary memory behavior. Finally, the conceptual applications of logic display and logic gate are discussed, indicating a bright prospect for BCQDs-based memristors. This work proves that modest B doping can optimize memristance property, establishing a theoretical foundation and template scheme for developing effective and stable CQDMs.