Cellular nucleic acid binding protein facilitates cardiac repair after myocardial infarction by activating ß-catenin signaling.

The regenerative capacity of the adult mammalian heart is limited, while the neonatal heart is an organ with regenerative and proliferative ability. Activating adult cardiomyocytes (CMs) to re-enter the cell cycle is an effective therapeutic method for ischemic heart disease such as myocardial infarction (MI) and heart failure. Here, we aimed to reveal the role and potential mechanisms of cellular nucleic acid binding protein (CNBP) in cardiac regeneration and repair after heart injury. CNBP is highly expressed within 7 days post-birth while decreases significantly with the loss of regenerative ability. In vitro, overexpression of CNBP promoted CM proliferation and survival, whereas knockdown of CNBP inhibited these processes. In vivo, knockdown of CNBP in CMs robustly hindered myocardial regeneration after apical resection in neonatal mice. In adult MI mice, CM-specific CNBP overexpression in the infarct border zone ameliorated myocardial injury in acute stage and facilitated CM proliferation and functional recovery in the long term. Quantitative proteomic analysis with TMT labeling showed that CNBP overexpression promoted the DNA replication, cell cycle progression, and cell division. Mechanically, CNBP overexpression increased the expression of ß-catenin and its downstream target genes CCND1 and c-myc; Furthermore, Luciferase reporter and Chromatin immunoprecipitation (ChIP) assays showed that CNBP could directly bind to the ß-catenin promoter and promote its transcription. CNBP also upregulated the expression of G1/S-related cell cycle genes CCNE1, CDK2, and CDK4. Collectively, our study reveals the positive role of CNBP in promoting cardiac repair after injury, providing a new therapeutic option for the treatment of MI.

BF3·OEt2 Catalyzed Cascade [4 + 2] Benzannulation of Vinyloxiranes with Coumarins to Construct Benzocoumarin Derivatives.

A BF3·OEt2-catalyzed cascade cyclization reaction of vinyloxirane with coumarin is described, affording the benzocoumarin derivatives with moderate to excellent yields (72-92%). The reaction demonstrates exceptional substrate tolerance and has been extensively explored for its potential in drug development, including scale-up experiments, functional group transformations, and screening of the products for anticancer activity. Moreover, the reaction mechanism has been rigorously validated through intermediate trapping and control experiments. Additionally, this reaction represents the uncommon nonmetal catalyzed intermolecular cyclization of vinyloxiranes.

Using machine learning to predict the bleeding risk for patients with cardiac valve replacement treated with warfarin in hospitalized.

BACKGROUND: Distinguishing warfarin-related bleeding risk at the bedside remains challenging. Studies indicate that warfarin therapy should be suspended when international normalized ratio (INR) ≥ 4.5, or it may sharply increase the risk of bleeding. We aim to develop and validate a model to predict the high bleeding risk in valve replacement patients during hospitalization. METHOD: Cardiac valve replacement patients from January 2016 to December 2021 across Nanjing First Hospital were collected. Five different machine-learning (ML) models were used to establish the prediction model. High bleeding risk was an INR ≥4.5. The area under the receiver operating characteristic curve (AUC) was used for evaluating the prediction performance of different models. The SHapley Additive exPlanations (SHAP) was used for interpreting the model. We also compared ML with ATRIA score and ORBIT score. RESULTS: A total of 2376 patients were finally enrolled in this model, 131 (5.5%) of whom experienced the high bleeding risk after anticoagulation therapy of warfarin during hospitalization. The extreme gradient boosting (XGBoost) exhibited the best overall prediction performance (AUC: 0.882, confidence interval [CI] 0.817-0.946, Brier score, 0.158) compared to other prediction models. It also shows superior performance compared with ATRIA score and ORBIT score. The top 5 most influential features in XGBoost model were platelet, thyroid stimulation hormone, body surface area, serum creatinine and white blood cell. CONCLUSION: A model for predicting high bleeding risk in valve replacement patients who treated with warfarin during hospitalization was successfully developed by using machine learning, which may well assist clinicians to identify patients at high risk of bleeding and allow timely adjust therapeutic strategies in evaluating individual patient.

Genetic background of hematological parameters in Holstein cattle based on genome-wide association and RNA sequencing analyses.

Hematological parameters refer to the assessment of changes in the number and distribution of blood cells, including leukocytes (LES), erythrocytes (ERS), and platelets (PLS), which are essential for the early diagnosis of hematological system disorders and other systemic diseases in livestock. In this context, the primary objectives of this study were to investigate the genomic background of 19 hematological parameters in Holstein cattle, focusing on LES, ERS, and PLS blood components. Genetic and phenotypic (co)variances of hematological parameters were calculated based on the average information restricted maximum likelihood method and 1,610 genotyped individuals and 5,499 hematological parameter records from 4,543 cows. Furthermore, we assessed the genetic relationship between these hematological parameters and other economically important traits in dairy cattle breeding programs. We also carried out genome-wide association studies and candidate gene analyses. Blood samples from 21 primiparous cows were used to identify candidate genes further through RNA sequencing (RNA-seq) analyses. Hematological parameters generally exhibited low-to-moderate heritabilities ranging from 0.01 to 0.29, with genetic correlations between them ranging from -0.88 ± 0.09 (between mononuclear cell ratio and lymphocyte cell ratio) to 0.99 ± 0.01 (between white blood cell count and granulocyte cell count). Furthermore, low-to-moderate approximate genetic correlations between hematological parameters with one longevity, 4 fertility, and 5 health traits were observed. One hundred ninety-nine significant SNP located primarily on the Bos taurus autosomes (BTA) BTA4, BTA6, and BTA8 were associated with 16 hematological parameters. Based on the RNA-seq analyses, 6,687 genes were significantly downregulated and 4,119 genes were upregulated when comparing 2 groups of cows with high and low phenotypic values. By integrating genome-wide association studies (GWAS), RNA-seq, and previously published results, the main candidate genes associated with hematological parameters in Holstein cattle were ACRBP, ADAMTS3, CANT1, CCM2L, CNN3, CPLANE1, GPAT3, GRIP2, PLAGL2, RTL6, SOX4, WDFY3, and ZNF614. Hematological parameters are heritable and moderately to highly genetically correlated among themselves. The large number of candidate genes identified based on GWAS and RNA-seq indicate the polygenic nature and complex genetic determinism of hematological parameters in Holstein cattle.

Clinical study of 400mg efavirenz treatment in newly diagnosed patients with HIV/AIDS.

The efficacy of 400mg efavirenz (EFV) once daily is reported to be similar to that of 600mg EFV. However, EFV-related toxic and side effects of 400mg EFV are significantly reduced. Here, the feasibility of reducing EFV to 400mg once a day in HIV-infected/AIDS patients was evaluated. Fifty patients were included. Patients were given 3TC+TDF+400mg EFV (n=25) or 3TC+TDF+600mg EFV (n=25). The proportion of patients with HIV RNA < 40 copies/mL and the adverse events served as the primary and secondary outcomes, respectively. HIV inhibition rates of the 3TC+TDF+400mg EFV group and 3TC+TDF+600mg EFV group were both 56.52% at week 24 and respectively 100%, 91.3% at week 48. During 48 weeks, 27 cases of adverse events were reported in the 3TC+TDF+400mg EFV group, lower than those in the 3TC+TDF+600mg EFV group, which had 39 cases. Compared with the 3TC+TDF+400mg EFV group, the incidence of transaminase, dizziness, hyperlipidemia and rashes all increased in the 3TC+TDF+600mg EFV group (P>0.05). No serious adverse events of the central nervous system occurred. The incidence of depression, sleep disturbance, and vertigo were similar (P>0.05). The efficacy of 400mg EFV is comparable to 600mg EFV. However, patients receiving 400mg EFV have fewer adverse events.

Catalytic Structure Design by AI Generating with Spectroscopic Descriptors.

Generative artificial intelligence has depicted a beautiful blueprint for on-demand design in chemical research. However, the few successful chemical generations have only been able to implement a few special property values because most chemical descriptors are mathematically discrete or discontinuously adjustable. Herein, we use spectroscopic descriptors with machine learning to establish a quantitative spectral structure-property relationship for adsorbed molecules on metal monatomic catalysts. Besides catalytic properties such as adsorption energy and charge transfer, the complete spatial relative coordinates of the adsorbed molecule were successfully inverted. The spectroscopic descriptors and prediction models are generalized, allowing them to be transferred to several different systems. Due to the continuous tunability of the spectroscopic descriptors, the design of catalytic structures with continuous adsorption states generated by AI in the catalytic process has been achieved. This work paves the way for using spectroscopy to enable real-time monitoring of the catalytic process and continuous customization of catalytic performance, which will lead to profound changes in catalytic research.

Association of glycation gap with all-cause and cardiovascular mortality in US adults: A nationwide cohort study.

AIM: To investigate the relationship of the glycation gap (GGap) with all-cause and cardiovascular (CV) mortality in US adults. METHODS: This was a retrospective cohort study comprising 12 909 individual participant data from the National Health and Nutrition Examination Survey from 1999 to 2004 and their mortality data through 31 December 2019. Weighted Cox proportional hazards regression models and restricted cubic splines were used to investigate the associations between GGap and mortality. RESULTS: During a median follow-up of 16.8 years, 3528 deaths occurred, including 1140 CV deaths. The associations of GGap with risk of all-cause and CV mortality were U-shaped (both P for non-linearity < .001). Compared with individuals with a GGap of 0.09%-0.38% (61st-80th centiles), the multivariable-adjusted HRs and 95% CIs for individuals with a GGap less than -0.83% (first-fifth centiles) and individuals with a GGap greater than 0.90% (96th-100th centiles) were 1.36 (1.10, 1.69) and 1.21 (1.00, 1.45) for all-cause mortality, and 1.77 (1.16, 2.71) and 1.43 (1.04, 1.95) for CV mortality. The GGap value associated with the lowest risk of all-cause and CV mortality was 0.38% in the general population and 0.78% among individuals with diabetes. CONCLUSIONS: We found a U-shaped association between GGap and all-cause and CV mortality, with significant positive or negative GGap values associated with increased mortality risk, probably because of glycaemic variability and fructosamine-3-kinase activity.

Association of serum osmolality with all-cause and cardiovascular mortality in US adults: A prospective cohort study.

BACKGROUND AND AIMS: The association between serum osmolality, an effective indicator of body hydration status, and long-term mortality in the general population remains undetermined. The present study aimed to investigate the association of serum osmolality with long-term all-cause and cardiovascular mortality among adults in the United States. METHODS AND RESULTS: This cohort study used data from the National Health and Nutrition Examination Survey (NHANES) 2007-2014. Participants were linked to National Death Index mortality data from the survey date through December 31, 2019. Cox proportional hazards regression model was used to calculate hazard ratios (HRs) and 95% CIs, and restricted cubic spline (RCS) regression was conducted. A total of 18312 US adults were included. During a median follow-up of 8.7 years, 1353 total deaths occurred, including 379 cardiovascular deaths. After multivariable adjustments, compared with the 3rd quartile (Q3) of serum osmolality, participants in the 1st (Q1) and 4th (Q4) quartiles were at a significantly higher risk of all-cause mortality (HR 1.41 [95% CI, 1.14-1.75] and 1.29 [95% CI, 1.04-1.61], respectively). RCS revealed a nonlinear relationship of serum osmolality to all-cause and cardiovascular mortality, with an inflection point of 278 mmol/kg. CONCLUSION: In the nationally representative cohort of US adults, serum osmolality was nonlinearly associated with all-cause and cardiovascular mortality. The risk of mortality was lowest around an osmolality of 278 mmol/kg. These findings suggest the importance of serum osmolality management for long-term health outcomes.

SIRT3-dependent mitochondrial redox homeostasis mitigates CHK1 inhibition combined with gemcitabine treatment induced cardiotoxicity in hiPSC-CMs and mice.

Administration of CHK1-targeted anticancer therapies is associated with an increased cumulative risk of cardiac complications, which is further amplified when combined with gemcitabine. However, the underlying mechanisms remain elusive. In this study, we generated hiPSC-CMs and murine models to elucidate the mechanisms underlying CHK1 inhibition combined with gemcitabine-induced cardiotoxicity and identify potential targets for cardioprotection. Mice were intraperitoneally injected with 25 mg/kg CHK1 inhibitor AZD7762 and 20 mg/kg gemcitabine for 3 weeks. hiPSC-CMs and NMCMs were incubated with 0.5 uM AZD7762 and 0.1 uM gemcitabine for 24 h. Both pharmacological inhibition or genetic deletion of CHK1 and administration of gemcitabine induced mtROS overproduction and pyroptosis in cardiomyocytes by disrupting mitochondrial respiration, ultimately causing heart atrophy and cardiac dysfunction in mice. These toxic effects were further exacerbated with combination administration. Using mitochondria-targeting sequence-directed vectors to overexpress CHK1 in cardiomyocyte (CM) mitochondria, we identified the localization of CHK1 in CM mitochondria and its crucial role in maintaining mitochondrial redox homeostasis for the first time. Mitochondrial CHK1 function loss mediated the cardiotoxicity induced by AZD7762 and CHK1-knockout. Mechanistically, mitochondrial CHK1 directly phosphorylates SIRT3 and promotes its expression within mitochondria. On the contrary, both AZD7762 or CHK1-knockout and gemcitabine decreased mitochondrial SIRT3 abundance, thus resulting in respiration dysfunction. Further hiPSC-CMs and mice experiments demonstrated that SIRT3 overexpression maintained mitochondrial function while alleviating CM pyroptosis, and thereby improving mice cardiac function. In summary, our results suggest that targeting SIRT3 could represent a novel therapeutic approach for clinical prevention and treatment of cardiotoxicity induced by CHK1 inhibition and gemcitabine.

MNK2-eIF4E axis promotes cardiac repair in the infarcted mouse heart by activating cyclin D1.

Adult mammals have limited potential for cardiac regeneration after injury. In contrast, neonatal mouse heart, up to 7 days post birth, can completely regenerate after injury. Therefore, identifying the key factors promoting the proliferation of endogenous cardiomyocytes (CMs) is a critical step in the development of cardiac regeneration therapies. In our previous study, we predicted that mitogen-activated protein kinase (MAPK) interacting serine/threonine-protein kinase 2 (MNK2) has the potential of promoting regeneration by using phosphoproteomics and iGPS algorithm. Here, we aimed to clarify the role of MNK2 in cardiac regeneration and explore the underlying mechanism. In vitro, MNK2 overexpression promoted, and MNK2 knockdown suppressed cardiomyocyte proliferation. In vivo, inhibition of MNK2 in CMs impaired myocardial regeneration in neonatal mice. In adult myocardial infarcted mice, MNK2 overexpression in CMs in the infarct border zone activated cardiomyocyte proliferation and improved cardiac repair. In CMs, MNK2 binded to eIF4E and regulated its phosphorylation level. Knockdown of eukaryotic translation initiation factor (eIF4E) impaired the proliferation-promoting effect of MNK2 in CMs. MNK2-eIF4E axis stimulated CMs proliferation by activating cyclin D1. Our study demonstrated that MNK2 kinase played a critical role in cardiac regeneration. Over-expression of MNK2 promoted cardiomyocyte proliferation in vitro and in vivo, at least partly, by activating the eIF4E-cyclin D1 axis. This investigation identified a novel target for heart regenerative therapy.

Combination of Electrochemistry and Mass Spectrometry to Study Nitric Oxide Metabolism and Its Modulation by Compound K in Breast Cancer Cells.

The levels of l-arginine and asymmetric dimethylarginine (ADMA) and the amount of the nitric oxide (NO) production have recently been linked to breast cancer and pharmaceutical effect evaluation. Herein, a method combining electrochemistry and high-resolution mass spectrometry (HRMS) was established and used to study NO metabolism and its modulation by ginsenoside compound K (CK) in breast cancer cells. Platinum nanoparticles-decorated fluorine tin oxide was employed as an electrochemical sensor for in situ detection of NO release, while HRMS was used for the analysis of the NO-related metabolites. Through the combination of the electrochemical and HRMS results, decreases in arginine and NO and increases in ADMA and ornithine were observed after modulation by CK, and two highly correlated metabolic pathways including arginine and proline metabolism and vascular smooth muscle contraction were found. This method offers a new strategy for fast evaluation of pharmaceutical efficacy based on NO metabolism.

P16ink4a overexpression ameliorates cardiac remodeling of mouse following myocardial infarction via CDK4/pRb pathway.

BACKGROUND: P16ink4a can accumulate in senescent cells and can be induced by different oncogenic stimulations. These functions make p16ink4a a biomarker of senescence and cancer. However, the exact role of p16ink4a remains unclear in cardiovascular disease. This study was aimed to investigate the role of p16ink4a in cardiac remodeling after myocardial infarction (MI). METHODS: In vivo, gain and loss of function experiments using p16ink4a overexpression and knockdown adenovirus were induced to determine the effect of p16ink4a on cardiac structure and function after MI. The in vitro effects of p16ink4a were evaluated by overexpression and knockdown adenovirus of p16ink4a on isolated neonatal mouse cardiac myocytes (NMCMs) and neonatal mouse cardiac fibroblasts (NMCFs). RESULTS: Expression level of p16ink4a was increased after MI and enriched in the infarction area. In vivo, overexpression of p16ink4a protected, while knockdown of p16ink4a worsened cardiac function. In vitro, p16ink4a did not influence the hypertrophy of NMCMs. Overexpression of p16ink4a inhibited the proliferation and migration of NMCFs and reduced the level of collagen I and α-SMA. Consistently, knockdown of p16ink4a in vitro displayed the opposite effects. Further mechanism studies revealed that p16ink4a affected the expression level of cyclin-dependent kinase 4 (CDK4) and phosphorylation of retinoblastoma (pRb), which could be a potential pathway in regulating cardiac remodeling after MI. CONCLUSION: Overexpression of 16ink4a in cardiac fibroblasts can ameliorate cardiac dysfunction and attenuate pathological cardiac remodeling in mice after MI by regulating the p16ink4a/CDK4/pRb pathway.

Comparison of amphotericin B deoxycholate in combination with either flucytosine or fluconazole, and voriconazole plus flucytosine for the treatment of HIV-associated cryptococcal meningitis: a prospective multicenter study in China.

BACKGROUND: The most appropriate alternative to induction therapy for HIV-associated cryptococcal meningitis (CM) remains unclear when standard treatment is unavailable, inaccessible, intolerable, or ineffective. METHODS: A prospective, multi-centre cohort study was conducted to analyze the data of 156 HIV-infected patients with CM who were treated with amphotericin B deoxycholate (AmB-D) + flucytosine (5FC), voriconazole (VCZ) + 5FC, or AmB-D + Fluconazole (Flu) as induction regimens. Clinical efficacy, cumulative mortality, and adverse effects were compared among the three treatment groups. RESULTS: Fewer deaths occurred by week 4 and week 10 among patients receiving AmB-D + 5FC than among those receiving AmB-D + Flu [4 (5.1%) vs. 8 (16.0%) deaths by week 4; hazard ratio, 1.8; 95% confidence interval [CI], 1.0 to 3.3; p = 0.039; and 8 (10.3%) vs. 14 (28.0%) deaths by week 10; hazard ratio, 1.8; 95% CI, 1.1 to 2.7; p = 0.008, respectively]. AmB-D plus 5FC was found to result in significantly higher rates of cerebrospinal fluid (CSF) culture sterility (57.6% vs. 34% by week 2; 87.9% vs. 70% by week 10; p < 0.05 for both comparisons). However, the differences in CSF culture sterility and mortality between the VCZ + 5FC group and the AmB-D + 5FC group were not statistically significant. VCZ plus 5FC had a significantly advantageous effect on the incidence of new AIDS-defining illness and length of hospital stay, compared with AmB-D plus 5FC. Laboratory adverse events (grade 3 or 4), such as severe anemia, were less frequent with VCZ + 5FC use than with AmB-D combined with 5FC or Flu use. CONCLUSION: Our results suggest that AmB-D combined with 5FC remains the more efficacious induction regimen compared to AmB-D plus Flu, and that VCZ + 5FC might be a potential alternative when the standard regimen is not readily available, accessible, tolerated, or effective. CLINICAL TRIALS: Registration number, ChiCTR1900021195. Registered 1 February 2019, http://www.chictr.org.cn/showproj.aspx?proj=35362 .

[Genetic Subtypes and Status of Transmitted Drug Resistance of HIV/AIDS Patients in Sichuan].

Objective: To investigate the distribution characteristics of the HIV genetic subtypes and the status quo of transmitted drug resistance among HIV/AIDS patients in Sichuan with no previous history of receiving antiretroviral therapy (ART). Methods: Adult HIV/AIDS patients who were hospitalized in Sichuan and who had no previous history of exposure to ART drugs exposure were enrolled. In-house sequencing of the HIV gene was done and phylogenetic tree was constructed to analyze the HIV genetic subtypes. The Stanford HIV drug resistance database was used to make online comparison of the drug resistance mutation sites and to determine the presence or absence of drug resistance, and the type and level of drug resistance. Results: A total of 120 patients were enrolled for the study, and 120 blood samples were collected. The genetic subtypes of 87.5% (105/120) of the samples were successfully amplified. The distribution characteristics of HIV genotype were as follows, CRF01_AE accounted for 46.67% (49/105), CRF07_BC accounted for 39.05% (41/105), and the others genetic subtypes, 14.28% (15/105). There were no significant differences between the different genetic subtypes in sex, age, ethnicity, HIV transmission route, drug resistance, baseline HIV RNA and baseline CD4 ( P>0.05). Drug-resistant mutation sites were detected in 25 samples, accounting for 20.83% (25/120) of all samples, with 16.67% (20/120) being potential drug resistance and 4.17% (5/120) being transmitted drug resistance. For the 24 samples found to be resistant to non-nucleoside reverse transcriptase inhibitors (NNRTIs), the mutation frequency of V179D/E was the highest. One patient showed resistance to protease inhibitors (PI) and the mutation site was M46I. No nucleoside reverse transcriptase inhibitor (NRTI) or integrase inhibitors (INTI) resistance were found. Conclusions: The main genetic subtypes of HIV/AIDS patients in Sichuan with no previous history of receiving ART were CRF01_AE and CRF07_BC. The incidence of transmitted drug resistance was low. The drug resistance detected in the study was predominantly resistance to NNRTIs. Baseline HIV drug resistance testing is of great significance for formulating effective ART regimens.

Adverse Cerebral Cardiovascular Events Associated With Checkpoint Kinase 1 Inhibitors: A Systemic Review.

ABSTRACT: Checkpoint kinase 1 (CHK1) plays a broad role in regulating the cell cycle process and is involved in the pathogenesis of various malignant tumors. Preclinical and animal studies have shown that CHK1 inhibitors can enhance the cytotoxic effects of radiotherapy and chemotherapy. Currently, CHK1 inhibitors are actively tested in clinical trials. Nonspecific adverse cerebral cardiovascular events were reported after CHK1 inhibitor use; these events need to be monitored and managed carefully during the clinical application of CHK1 inhibitors. To get a better understanding of these, noteworthy adverse cardiovascular events, we systemically searched the PubMed, Cochrane databases, and clinicaltrials.gov, for relevant clinical trials and case reports. A total of 19 studies were identified and included in this review. Among the reported cerebral cardiovascular events, the most common is incident abnormal blood pressure fluctuations (n = 35), followed by incident QTcF prolongation (n = 15), arrhythmia (n = 13, 3 atrial fibrillation and 10 bradycardia), thromboembolic events (n = 9, 6 pulmonary embolisms, 2 stroke, and 1 cerebrovascular event), cardiac troponin T elevation (n = 2), and ischemic chest pain (n = 2). Besides, the estimated incidence for overall cardiovascular events based on the available data is 0.292 (95% confidence interval: 0.096-0.488). CHK1 inhibitors administered in tumor patients on top of conventional therapies can not only enhance the antitumor effects, but also induce adverse cerebral cardiovascular events. It is, therefore, of importance to carefully monitor and manage the CHK1 inhibitor-induced adverse effects on the cerebral cardiovascular system while applying CHK1 inhibitors to tumor patients.

Establishment of a novel scoring model for mortality risk prediction in HIV-infected patients with cryptococcal meningitis.

BACKGROUND: Cryptococcal meningitis (CM) remains a leading cause of death in HIV-infected patients, despite advances in CM diagnostic and therapeutic strategies. This study was performed with the aim to develop and validate a novel scoring model to predict mortality risk in HIV-infected patients with CM (HIV/CM). METHODS: Data on HIV/CM inpatients were obtained from a Multicenter Cohort study in China. Independent risk factors associated with mortality were identified based on data from 2013 to 2017, and a novel scoring model for mortality risk prediction was established. The bootstrapping statistical method was used for internal validation. External validation was performed using data from 2018 to 2020. RESULTS: We found that six predictors, including age, stiff neck, impaired consciousness, intracranial pressure, CD4+ T-cell count, and urea levels, were associated with poor prognosis in HIV/CM patients. The novel scoring model could effectively identify HIV/CM patients at high risk of death on admission (area under curve 0.876; p<0.001). When the cut-off value of 5.5 points or more was applied, the sensitivity and specificity was 74.1 and 83.8%, respectively. Our scoring model showed a good discriminatory ability, with an area under the curve of 0.879 for internal validation via bootstrapping, and an area under the curve of 0.886 for external validation. CONCLUSIONS: Our developed scoring model of six variables is simple, convenient, and accurate for screening high-risk patients with HIV/CM, which may be a useful tool for physicians to assess prognosis in HIV/CM inpatients.

Development of a risk scoring system for prognostication in HIV-related toxoplasma encephalitis.

BACKGROUND: This study aims to evaluate specific risk factors influencing prognosis of HIV-infected patients with toxoplasma encephalitis (TE) in order to develop a prognostic risk scoring system for them. METHODS: This is a six-center retrospective study of hospitalized HIV/TE patients. Data including six-week mortality after diagnosis, baseline characteristics, clinical features, laboratory tests and radiological characteristics of eligible patients were assimilated for risk model establishing. RESULTS: In this study, the six-week mortality among 94 retrospective cases was 11.7% (11/94). Seven specific risk factors, viz. time from symptom onset to presentation, fever, dizziness, CD4+ T-cell counts, memory deficits, patchy brain lesions, and disorders of consciousness were calculated to be statistically associated with mortality. A criterion value of '9' was selected as the optimal cut-off value of the established model. The AUC of the ROC curve of this scoring model was 0.976 (p < 0.001). The sensitivity and specificity of the risk scoring model was 100.0 and 86.9%, respectively, which were 81.8 and 94.1% of this scoring model in the verification cohort, respectively. CONCLUSIONS: The developed scoring system was established with simple risk factors, which also allows expeditious implementation of accurate prognostication, and appropriate therapeutic interventions in HIV-infected patients with TE.

Highly Active Graphene Oxide-Supported Cobalt Single-Ion Catalyst for Chemiluminescence Reaction.

Graphene- or graphene oxide (GO)-supported metallic nanoparticles and single metal atom as potentially effective catalysts for chemical reactions have recently received extensive research interests. However, metal utilization in nanoparticle catalysts is limited and metal atoms readily drift on the graphene surface and consequently form aggregated large particles, making practical applications limited. Here, we report metal ions directly immobilized on GO as a novel GO-supported single-ion catalyst for chemiluminecence (CL) reactions. It is found that GO-supported cobalt ions with good stability could catalyze strongly luminol-H2O2 and lucigenin-H2O2 CL reactions, accompanied by dramatically enhanced CL emission. Theoretical studies reveal that the coupling between Co2+ and GO induces effective polarization charges, improving chemical activity of the reaction site, which promotes the generation of intermediate radicals and accelerates the CL reactions. This work may be generalized to other GO-supported metal ions as catalysts for a wide range of chemical reactions. The developed GO-supported cobalt single-ion nanocomposites as nanointerfaces may find future applications in CL bioassays.

Combination of histological and metabolomic assessments to evaluate the potential pharmacological efficacy of saikosaponin D.

Saikosaponin D (SsD), a natural triterpenoid saponin compound, exhibits notable potential in suppressing tumor growth and inhibiting metastasis, particularly in breast cancer. However, its underlying mechanism of action for SsD remains unclear. In this study, a combination strategy to reveal the metabolism modulation of SsD on breast cancer was performed by integration of histopathological assessments and untargeted metabolomics analysis. Pathological evaluation of the efficacy of SsD from a visual and intuitive perspective. Accordingly, a non-targeted metabolomics study was used to investigate the pharmacological efficacy using a set of serum samples from mice before and after (0-30 days) modulated with SsD based on ultra-high performance liquid chromatography tandem orbitrap mass spectrometry to discover metabolite biomarkers for finding the key metabolic mechanism in a molecular perspective. As a result, 20 metabolites were selected as potential biomarkers for SsD efficacy evaluation with high sensitivity and specificity. These metabolites changes were involved in sphingolipid metabolism, glycerophospholipid metabolism, phenylalanine and tryptophan metabolism, and phenylalanine, tyrosine and tryptophan biosynthesis pathways, suggesting that SsD exerted anti-breast cancer effects through the regulation of the underlying metabolism. In conclusion, we developed a new analysis strategy that effectively discovers tumor-progressing related metabolite biomarkers in serum for pharmacological efficacy evaluation.

Organization of microtubule plus-end dynamics by phase separation in mitosis.

In eukaryotes, microtubule polymers are essential for cellular plasticity and fate decisions. End-binding (EB) proteins serve as scaffolds for orchestrating microtubule polymer dynamics and are essential for cellular dynamics and chromosome segregation in mitosis. Here, we show that EB1 forms molecular condensates with TIP150 and MCAK through liquid-liquid phase separation to compartmentalize the kinetochore-microtubule plus-end machinery, ensuring accurate kinetochore-microtubule interactions during chromosome segregation in mitosis. Perturbation of EB1-TIP150 polymer formation by a competing peptide prevents phase separation of the EB1-mediated complex and chromosome alignment at the metaphase equator in both cultured cells and Drosophila embryos. Lys220 of EB1 is dynamically acetylated by p300/CBP-associated factor in early mitosis, and persistent acetylation at Lys220 attenuates the phase separation of the EB1-mediated complex, dissolves droplets in vitro, and harnesses accurate chromosome segregation. Our data suggest a novel framework for understanding the organization and regulation of eukaryotic spindle for accurate chromosome segregation in mitosis.