Optimization of microRNA extraction from the plasma of the common carp.

Efficient and safe extraction of microRNAs (miRNAs) from biological samples is pivotal for genetic regulation studies and biotechnological applications. This study focuses on optimizing the microRNA extraction process from the plasma of common carp, a significant species in aquaculture. Recognizing the limitations and hazards of commercial extraction kits, which often employ toxic chemicals like phenol and chloroform, we sought to develop a safer and more effective alternative. Our optimized protocol utilizes guanidinium isothiocyanate (GITC) and sarkosyl, omitting hazardous substances. We explored several parameters including GITC concentration, the addition of sarkosyl, and the role of sodium chloride in enhancing miRNA yield. Our findings demonstrate that optimal conditions involve a GITC concentration of 4.2 M, a 3% sarkosyl concentration, and the use of sodium chloride at 0.5 M. We also investigated the utility of glycogen as a nucleic acid carrier, finding 160 µg to be the optimal concentration. Comparative analysis with commercial kits indicated our method provides higher miRNA yields with reduced cycle threshold values, underscoring the effectiveness of our custom protocol. This optimized approach not only enhances miRNA recovery but also emphasizes safety and cost-effectiveness, making it a valuable method for both research and practical applications in aquaculture.

Nickel-Mediated Divergent Trifluoromethylation of Chlorinated and Brominated Phenol Derivatives through Chemoselective Cleavage of Ar-O and Ar-Cl(Br) Bonds.

We report herein that nickel-mediated trifluoromethylation of chlorinated and brominated phenol derivatives ClArOTs and BrArOTf gave chloro(bromo)trifluoromethylarenes through the chemoselective cleavage of Ar-O bonds. Furthermore, under similar reaction conditions, the chemoselective trifluoromethylation of Ar-Cl and Ar-Br bonds of ClArOPiv and BrArOTs was achieved to give trifluoromethylated phenol derivatives.

The impact of tea consumption on the risk of depression: A Mendelian randomization and Bayesian weighting algorithm study.

BACKGROUND AND OBJECTIVES: The precise impact of tea consumption on the risk of depression remains unclear. This study aimed to explore the relationship between the consumption patterns of tea and the likelihood of depression onset, utilizing a two-sample Mendelian randomization (MR) methodology. METHODS AND STUDY DESIGN: We utilized available genome-wide association study (GWAS) datasets on tea intake and depressive disorders. To investigate the causal relationship between tea consumption and depression, we employed a set of two-sample Mendelian Randomization (MR) methods. These included the inverse-variance weighted (IVW) analysis, weighted median approach, and MR-Egger regression. Additionally, we utilized MR-PRESSO and the MR-Egger intercept test for the detection of pleiotropic effects. To ensure the robustness and consistency of our findings, a sensitivity analysis was carried out, applying the 'leave-one-out' strategy. The Bayesian weighted Mendelian randomization (BWMR) was employed to conduct additional testing on the obtained results. RESULTS: The study's outcomes revealed a causal association between increased tea intake and an increased risk of depression (Inverse-Variance Weighted Analysis: Odds Ratio [OR] = 1.029, 95% Confidence Interval [CI]: 1.003-1.055, p = 0.027). This was observed despite variations in instrumental variables and the nonexistence of horizontal pleiotropy. Furthermore, the robustness of our Mendelian Randomization investigation was affirmed through the implementation of the 'leave-one-out' method in our sensitivity analysis. The findings from BWMR were in line with those obtained from IVW (BWMR: OR=1.030, 95% CI: 1.003-1.057, p = 0.029). CONCLUSIONS: The results from this study indicate a substantial and positive causal link between the regularity of tea drinking and the risk of depression onset.

Unveiling the role of microRNAs in metabolic dysregulation of Gestational Diabetes Mellitus.

Gestational Diabetes Mellitus (GDM) presents a significant health concern globally, necessitating a comprehensive understanding of its metabolic intricacies for effective management. MicroRNAs (miRNAs) have emerged as pivotal regulators in GDM pathogenesis, influencing glucose metabolism, insulin signaling, and lipid homeostasis during pregnancy. Dysregulated miRNA expression, both upregulated and downregulated, contributes to GDM-associated metabolic abnormalities. Ethnic and temporal variations in miRNA expression underscore the multifaceted nature of GDM susceptibility. This review examines the dysregulation of miRNAs in GDM and their regulatory functions in metabolic disorders. We discuss the involvement of specific miRNAs in modulating key pathways implicated in GDM pathogenesis, such as glucose metabolism, insulin signaling, and lipid homeostasis. Furthermore, we explore the potential diagnostic and therapeutic implications of miRNAs in GDM management, highlighting the promise of miRNA-based interventions for mitigating the adverse consequences of GDM on maternal and offspring health.

Radioactive iodine therapy for thyroid cancer coexisting with Hashimoto's thyroiditis: a systematic review and meta-analysis.

OBJECTIVES: To investigate the clinical character of differentiated thyroid cancer (DTC) coexisting with Hashimoto's thyroiditis (HT) and provide state-of-art evidence for personalized radioactive iodine-131 therapy (RAIT) for patients coexisting with HT. METHODS: From January 2000 to January 2023, PubMed, Embase, and Web of Science databases were searched for relevant original articles that published in English on the RAIT efficacy for DTC with HT. RevMan 5.4 and Stata 17.0 were used for data analysis. RESULTS: Eleven studies involving 16 605 DTC patients (3321 with HT) were included. HT was more frequent in female (OR: 2.90, 95% confidence interval [CI]: 1.77-4.76, P < .00001). The size of tumour (MD: -0.20, 95% CI: -0.30 to -0.11), extrathyroidal extension rate (OR: 0.77, 95% CI: 0.67-0.90), and metastasis rate (OR: 0.18, 95% CI: 0.08-0.41) were less in HT, but tumour, node, metastasis (TNM) stage had no significant difference among HT and non-HT group. Disease-free survival (DFS) rate (OR: 1.96, 95% CI: 1.57-2.44, P < .00001), 5-year DFS (OR: 1.73, 95% CI: 1.04-2.89, P = .04), and 10-year DFS (OR: 1.56, 95% CI: 1.17-2.09, P = .003) were higher in HT group. The recurrent (OR: 0.62, 95% CI: 0.45-0.83, P = .002), RAIT dosage (MD = -38.71, 95% CI: -60.86 to -16.56, P = .0006), and treatment (MD: -0.13, 95% CI: -0.22 to -0.03, P = .008) were less in HT group. CONCLUSIONS: DTC coexisting with HT was associated with less invasion. DFS of HT group was higher than non-HT group after RAIT. Low-dose treatment did not impair the efficacy of RAIT in DTC with HT. ADVANCES IN KNOWLEDGE: Hashimoto's thyroiditis is a risk for DTC, but it minimalizes the progression of cancer and enhance the efficacy of RAIT, which should be considered in personalizing RAIT.

Burnout Prevalence and Associated Factors Among Palliative and Hospice Care Professionals During the COVID-19 Endemic: An Exploratory Survey.

BACKGROUND: Burnout is a significant issue for palliative and hospice professionals, exacerbated by the impact of Coronavirus Disease 2019 (COVID-19) on healthcare professionals. It is crucial to update our understanding of prevalence data, identify associated factors, and evaluate support resources during the COVID-19 pandemic. METHODS: We aimed to explore the prevalence of burnout among palliative and hospice care workers, 2 years into the COVID-19 pandemic by using the Maslach's Burnout Inventory; anxiety, using General Anxiety Disorder-7 (GAD-7), workload, risk perception of COVID-19, confidence in protective measures (personal, workplace, and government), and usage and perceived helpfulness of support resources. Univariate logistic regression analysis was conducted to analyse burnout against these factors. RESULTS: Of the 115 respondents encompassing doctors, nurses and social workers (76.5% female; average age 40.9), 48.7% experienced burnout. Burnout correlated with increased anxiety, higher COVID-19 risk perception, heavier workload, and reduced confidence in protective measures. Peer support, COVID information, and psychological programs were rated as the most effective for coping. CONCLUSION: The study indicates considerable levels of burnout among palliative and hospice care workers, linked to workload, anxiety, and perceived risk. Traditional mental health interventions had limited efficacy; respondents favoured peer support and organisational changes. The findings stress the need for a holistic approach, including diverse resources, workload management, and regular mental health assessments.

The walnut-derived peptide TW-7 improves mouse parthenogenetic embryo development of vitrified MII oocytes potentially by promoting histone lactylation.

BACKGROUND: Previous studies have shown that the vitrification of metaphase II (MII) oocytes significantly represses their developmental potential. Abnormally increased oxidative stress is the probable factor; however, the underlying mechanism remains unclear. The walnut-derived peptide TW-7 was initially isolated and purified from walnut protein hydrolysate. Accumulating evidences implied that TW-7 was a powerful antioxidant, while its prospective application in oocyte cryopreservation has not been reported. RESULT: Here, we found that parthenogenetic activation (PA) zygotes derived from vitrified MII oocytes showed elevated ROS level and delayed progression of pronucleus formation. Addition of 25 µmol/L TW-7 in warming, recovery, PA, and embryo culture medium could alleviate oxidative stress in PA zygotes from vitrified mouse MII oocytes, furtherly increase proteins related to histone lactylation such as LDHA, LDHB, and EP300 and finally improve histone lactylation in PA zygotes. The elevated histone lactylation facilitated the expression of minor zygotic genome activation (ZGA) genes and preimplantation embryo development. CONCLUSIONS: Our findings revealed the mechanism of oxidative stress inducing repressed development of PA embryos from vitrified mouse MII oocytes and found a potent and easy-obtained short peptide that could significantly rescue the decreased developmental potential of vitrified oocytes, which would potentially contribute to reproductive medicine, animal protection, and breeding.

Tetrahedral framework nucleic acid-based small-molecule inhibitor delivery for ecological prevention of biofilm.

Biofilm formation constitutes the primary cause of various chronic infections, such as wound infections, gastrointestinal inflammation and dental caries. While preliminary achievement of biofilm inhibition is possible, the challenge lies in the difficulty of eliminating the bactericidal effects of current drugs that lead to microbiota imbalance. This study, utilizing in vitro and in vivo models of dental caries, aims to efficiently inhibit biofilm formation without inducing bactericidal effects, even against pathogenic bacteria. The tetrahedral framework nucleic acid (tFNA) was employed as a delivery vector for a small-molecule inhibitor (smI) specifically targeting the activity of glucosyltransferases C (GtfC). It was observed that tFNA loaded smI in a small-groove binding manner, efficiently transferring it into Streptococcus mutans, thereby inhibiting GtfC activity and extracellular polymeric substances formation without compromising bacterial survival. Furthermore, smI-loaded tFNA demonstrated a reduction in the severity of dental caries in vivo without adversely affecting oral microbial diversity and exhibited desirable topical and systemic biosafety. This study emphasizes the concept of 'ecological prevention of biofilm', which is anticipated to advance the optimization of biofilm prevention strategies and the clinical application of DNA nanocarrier-based drug formulations.

Artificial intelligence in liver imaging: methods and applications.

Liver disease is regarded as one of the major health threats to humans. Radiographic assessments hold promise in terms of addressing the current demands for precisely diagnosing and treating liver diseases, and artificial intelligence (AI), which excels at automatically making quantitative assessments of complex medical image characteristics, has made great strides regarding the qualitative interpretation of medical imaging by clinicians. Here, we review the current state of medical-imaging-based AI methodologies and their applications concerning the management of liver diseases. We summarize the representative AI methodologies in liver imaging with focusing on deep learning, and illustrate their promising clinical applications across the spectrum of precise liver disease detection, diagnosis and treatment. We also address the current challenges and future perspectives of AI in liver imaging, with an emphasis on feature interpretability, multimodal data integration and multicenter study. Taken together, it is revealed that AI methodologies, together with the large volume of available medical image data, might impact the future of liver disease care.

ISR inhibition reverses pancreatic ß-cell failure in Wolfram syndrome models.

Pancreatic ß-cell failure by WFS1 deficiency is manifested in individuals with wolfram syndrome (WS). The lack of a suitable human model in WS has impeded progress in the development of new treatments. Here, human pluripotent stem cell derived pancreatic islets (SC-islets) harboring WFS1 deficiency and mouse model of ß cell specific Wfs1 knockout were applied to model ß-cell failure in WS. We charted a high-resolution roadmap with single-cell RNA-seq (scRNA-seq) to investigate pathogenesis for WS ß-cell failure, revealing two distinct cellular fates along pseudotime trajectory: maturation and stress branches. WFS1 deficiency disrupted ß-cell fate trajectory toward maturation and directed it towards stress trajectory, ultimately leading to ß-cell failure. Notably, further investigation of the stress trajectory identified activated integrated stress response (ISR) as a crucial mechanism underlying WS ß-cell failure, characterized by aberrant eIF2 signaling in WFS1-deficient SC-islets, along with elevated expression of genes in regulating stress granule formation. Significantly, we demonstrated that ISRIB, an ISR inhibitor, efficiently reversed ß-cell failure in WFS1-deficient SC-islets. We further validated therapeutic efficacy in vivo with ß-cell specific Wfs1 knockout mice. Altogether, our study provides novel insights into WS pathogenesis and offers a strategy targeting ISR to treat WS diabetes.

Metformin-Loaded Chitosan Hydrogels Suppress Bladder Tumor Growth in an Orthotopic Mouse Model via Intravesical Administration.

Our previous study found that the intravesical perfusion of metformin has excellent inhibitory effects against bladder cancer (BC). However, this administration route allows the drug to be diluted and excreted in urine. Therefore, increasing the adhesion of metformin to the bladder mucosal layer may prolong the retention time and increase the pharmacological activity. It is well known that chitosan (Cs) has a strong adhesion to the bladder mucosal layer. Thus, this study established a novel formulation of metformin to enhance its antitumor activity by extending its retention time. In this research, we prepared Cs freeze-dried powder and investigated the effect of metformin-loaded chitosan hydrogels (MLCH) in vitro and in vivo. The results showed that MLCH had a strong inhibitory effect against proliferation and colony formation in vitro. The reduction in BC weight and the expression of tumor biomarkers in orthotopic mice showed the robust antitumor activity of MLCH via intravesical administration in vivo. The non-toxic profile of MLCH was observed as well, using histological examinations. Mechanistically, MLCH showed stronger functional activation of the AMPKα/mTOR signaling pathway compared with metformin alone. These findings aim to make this novel formulation an efficient candidate for managing BC via intravesical administration.

Charting a high-resolution roadmap for regeneration of pancreatic ß cells by in vivo transdifferentiation from adult acinar cells.

Adult mammals have limited capacity to regenerate functional cells. Promisingly, in vivo transdifferentiation heralds the possibility of regeneration by lineage reprogramming from other fully differentiated cells. However, the process of regeneration by in vivo transdifferentiation in mammals is poorly understood. Using pancreatic ß cell regeneration as a paradigm, we performed a single-cell transcriptomic study of in vivo transdifferentiation from adult mouse acinar cells to induced ß cells. Using unsupervised clustering analysis and lineage trajectory construction, we uncovered that the cell fate remodeling trajectory was linear at the initial stage and the reprogrammed cells either evolved to induced ß cells or toward a "dead-end" state after day 4.Moreover, functional analyses identified both p53 and Dnmt3a that acted as reprogramming barriers during the process of in vivo transdifferentiation. Collectively, we decipher a high-resolution roadmap of regeneration by in vivo transdifferentiation and provide a detailed molecular blueprint to facilitate mammalian regeneration.

Preparation and Properties of a Novel Biodegradable Composite Hydrogel Derived from Gelatin/Chitosan and Polylactic Acid as Slow-Release N Fertilizer.

To improve the efficient use of nitrogen and decrease the environmental pollution of N losses, a novel and biodegradable composite hydrogel was prepared by chemical cross-linking synthesis using gelatin (Gel), chitosan (CS) and polylactic acid (PLA) as raw materials. Urea as the nitrogen source was loaded into this new biodegradable hydrogel using the solution immersion method. The chemical structures of the composite hydrogels were characterized and their properties were analyzed by XRD and XPS. The regulation of urea loading and the swelling behavior of the composite hydrogel under different temperature conditions were investigated; the release behavior and release model of the composite hydrogel in the aqueous phase was explored. The results show that the loading of urea is controllable in aqueous urea solution with different concentrations. In the water phase, it shows a three-stage sustained release behavior, that is, the initial release rate of urea is relatively fast, and the medium release rate of urea gradually slows down, and finally the nutrient release rate tends to be flat. The release behavior in the water phase fits to the Ritger-Peppas model. Within 10 min, 180 min and 900 min, the cumulative nutrient release rate of gelatin/chitosan/PLA-urea (GCPU) composite hydrogel is 20%, 70% and 86%, respectively. Compared with pure urea, The urea diffusion time of GCPU was extended by 1350-times. In addition, the GCPU also has good water absorption and water retention properties, in which average water content can reach as high as 4448%. All of the results in this work showed that GCPU hydrogel had good water absorption and retention and N slow-release properties, which are expected to be widely used in sustainable agriculture and forestry, especially in arid and degraded land.

Nanoscale Treatment of Intervertebral Disc Degeneration: Mesenchymal Stem Cell Exosome Transplantation.

A common surgical disease, intervertebral disc degeneration (IVDD), is increasing at an alarming rate in younger individuals. Repairing damaged intervertebral discs (IVDs) and promoting IVD tissue regeneration at the molecular level are important research goals.Exosomes are extracellular vesicles (EVs) secreted by cells and can be derived from most body fluids. Mesenchymal stem cell-derived exosomes (MSC-exos) have characteristics similar to those of the parental MSCs. These EVs can shuttle various macromolecular substances, such as proteins, messenger RNAs (mRNAs), and microRNAs (miRNAs) and regulate the activity of recipient cells through intercellular communication. Reducing inflammation and apoptosis can significantly promote IVD regeneration to facilitate the repair of the IVD. Compared with MSCs, exosomes are more convenient to store and transport, and the use of exosomes can prevent the risk of rejection with cell transplantation. Furthermore, MSC-exo-mediated treatment may be safer and more effective than MSC transplantation. In this review, we summarize the use of bone marrow mesenchymal stem cells (BMSCs), adipose-derived mesenchymal stem cells (AMSCs), nucleus pulposus mesenchymal stem cells (NPMSCs), and stem cells from other sources for tissue engineering and use in IVDD. Here, we aim to describe the role of exosomes in inhibiting IVDD, their potential therapeutic effects, the results of the most recent research, and their clinical application prospects to provide an overview for researchers seeking to explore new treatment strategies and improve the efficacy of IVDD treatment.

Shareholder personal risk and firm risk: An empirical analysis of share pledges and firm debt policies.

The impact of personal risk caused by controlling shareholders' equity pledges on the company's debt policy is an issue worth exploring. Using Chinese A-share listed companies from 2006 to 2020, this paper studies the impact of ultimate owner equity pledges on firm debt size and debt maturity structure and explores the mechanism of ultimate owner personal leverage on firms. The results show that the increase in ultimate owner stock pledges leads to higher financial leverage and a longer debt maturity structure for the company. In addition, the study reveals that the high personal leverage of the ultimate owner of the pledged equity is an influential mechanism driving the transfer of personal risk to the firm. In particular, even if a company's actual debt ratio is higher than its target debt ratio, equity pledges can prompt listed companies to increase their debt ratios and debt maturities, causing them to take on excessive debt risk and transfer the risk to creditors. It follows that the tunneling effect is a driving force of equity pledging and corporate debt policies. These results remain robust after the robustness test and endogenous test. The conclusions of this paper not only emphasize the impact of shareholders' personal risk on the firm but also provide a reference for investors' perception of firm risk.

Evaluating breast ultrasound S-detect image analysis for small focal breast lesions.

Background: S-Detect is a computer-assisted, artificial intelligence-based system of image analysis that has been integrated into the software of ultrasound (US) equipment and has the capacity to independently differentiate between benign and malignant focal breast lesions. Since the revision and upgrade in both the breast imaging-reporting and data system (BI-RADS) US lexicon and the S-Detect software in 2013, evidence that supports improved accuracy and specificity of radiologists' assessment of breast lesions has accumulated. However, such assessment using S-Detect technology to distinguish malignant from breast lesions with a diameter no greater than 2 cm requires further investigation. Methods: The US images of focal breast lesions from 295 patients in our hospital from January 2019 to June 2022 were collected. The BI-RADS data were evaluated by the embedded program and as manually modified prior to the determination of a pathological diagnosis. The receiver operator characteristic (ROC) curves were constructed to compare the diagnostic accuracy between the assessments of the conventional US images, the S-Detect classification, and the combination of the two. Results: There were 326 lesions identified in 295 patients, of which pathological confirmation demonstrated that 239 were benign and 87 were malignant. The sensitivity, specificity, and accuracy of the conventional imaging group were 75.86%, 93.31%, and 88.65%. The sensitivity, specificity, and accuracy of the S-Detect classification group were 87.36%, 88.28%, and 88.04%, respectively. The assessment of the amended combination of S-Detect with US image analysis (Co-Detect group) was improved with a sensitivity, specificity, and accuracy of 90.80%, 94.56%, and 93.56%, respectively. The diagnostic accuracy of the conventional US group, the S-Detect group, and the Co-Detect group using area under curves was 0.85, 0.88 and 0.93, respectively. The Co-Detect group had a better diagnostic efficiency compared with the conventional US group (Z = 3.882, p = 0.0001) and the S-Detect group (Z = 3.861, p = 0.0001). There was no significant difference in distinguishing benign from malignant small breast lesions when comparing conventional US and S-Detect techniques. Conclusions: The addition of S-Detect technology to conventional US imaging provided a novel and feasible method to differentiate benign from malignant small breast nodules.

New Hope for Treating Intervertebral Disc Degeneration: Microsphere-Based Delivery System.

Intervertebral disc (IVD) degeneration (IVDD) has been considered the dominant factor in low back pain (LBP), and its etiological mechanisms are complex and not yet fully elucidated. To date, the treatment of IVDD has mainly focused on relieving clinical symptoms and cannot fundamentally solve the problem. Recently, a novel microsphere-based therapeutic strategy has held promise for IVD regeneration and has yielded encouraging results with in vitro experiments and animal models. With excellent injectability, biocompatibility, and biodegradability, this microsphere carrier allows for targeted delivery and controlled release of drugs, gene regulatory sequences, and other bioactive substances and supports cell implantation and directed differentiation, aiming to improve the disease state of IVD at the source. This review discusses the possible mechanisms of IVDD and the limitations of current therapies, focusing on the application of microsphere delivery systems in IVDD, including targeted delivery of active substances and drugs, cellular therapy, and gene therapy, and attempts to provide a new understanding for the treatment of IVDD.