Objective To explore the correlation between central venous oxygen saturation(ScvO2),blood lactate(Lac),arterial oxygen saturation(SaO2)and mechanical ventilation time in infants with congenital heart disease(CHD).Methods Eighty-four CHD children treated in the First People's Hospital of Zunyi were enrolled between January 2020 and December 2024.According to postoperative mechanical ventilation time,they were divided into prolongation group(28 cases,mechanical ventilation time≥72 h)and non-prolongation group(56 cases,mechanical ventilation time<72 h).The clinical data,score of risk adjustment for congenital heart surgery(RACHS-1),levels of ScvO2,and Lac and SaO2 in the two groups were compared.The risk factors of postoperative mechanical ventilation time were analyzed by multivariate logistic regression analysis,and predictive value of ScvO2,Lac and SaO2 for prolonged mechanical ventilation time was analyzed by ROC curves.The clinical outcomes in the two groups were recorded.Results There were significant differences in age,preoperative pneumonia,RACHS-1 grading,and levels of ScvO2,Lac and SaO2 among children with different mechanical ventilation time(P<0.05).Multivariate logistic regression analysis showed that ScvO2,Lac and SaO2 were independent influencing factors of postoperative mechanical ventilation time(P<0.05).ROC curves analysis showed that area under the curve(AUC)values of ScvO2,Lac,SaO2 and combined detection for predicting prolonged postoperative mechanical ventilation were 0.846,0.863,0.839 and 0.917,and the best cut-off values were 67.64％,1.51mmol/L and 96.06％,respec-tively(P<0.05).The failure rate of weaning in the prolongation group was higher,and stay time in PICU and actual length of hospital stay were longer than those in non-prolongation group(P<0.05).Conclusion The levels of ScvO2,Lac and SaO2 are related to mechanical ventilation time in CHD infants.They are all independent risk factors affecting prolonged mechanical ventilation and can be applied as auxiliary detection indexes to predict the prolonga-tion of mechanical ventilation in clinical practice.

With the deepening of the modernization of traditional Chinese medicine(TCM),the analysis of mineralogical features of mineralogical TCM,as an important part of TCM,has received more and more attention.At present,the research of mineral-based traditional Chinese medicine is faced with problems such as confusion of medicinal resources,unclear material basis,and low exclusivity of quality standards,while common analytical techniques have certain limitations in quantitative analysis,sensitivity and comprehensive characterization,which restrict the modernization research of mineral-based medicines and its clinical applications.The advanced mineral identification and characterization system integrates energy spectrum and spectral analysis techniques,combined with efficient data processing algorithms,which can rapidly and accurately analyze mineral components qualitatively and quantitatively,but its application in mineral medicine research is still in its infancy.This article reviews the common analytical techniques for mineral medicine and the potential application of advanced mineral identification and characterization system in the identification of mineral Chinese medicine matrix and quality control.The advanced mineral identification and characterization system can not only accurately distinguish the mineralogical characteristics of mineral medicines,such as the mineral composition,elemental state and embedded characteristics,and provide data support for the research of mineral medicine resources,but also provide scientific basis for the establishment of systematic quality standards,the analysis of the preparation mechanism,the revelation of its potential medicinal effect of the material basis and the control of the risk of heavy metals.

With the deepening of the modernization of traditional Chinese medicine(TCM),the analysis of mineralogical features of mineralogical TCM,as an important part of TCM,has received more and more attention.At present,the research of mineral-based traditional Chinese medicine is faced with problems such as confusion of medicinal resources,unclear material basis,and low exclusivity of quality standards,while common analytical techniques have certain limitations in quantitative analysis,sensitivity and comprehensive characterization,which restrict the modernization research of mineral-based medicines and its clinical applications.The advanced mineral identification and characterization system integrates energy spectrum and spectral analysis techniques,combined with efficient data processing algorithms,which can rapidly and accurately analyze mineral components qualitatively and quantitatively,but its application in mineral medicine research is still in its infancy.This article reviews the common analytical techniques for mineral medicine and the potential application of advanced mineral identification and characterization system in the identification of mineral Chinese medicine matrix and quality control.The advanced mineral identification and characterization system can not only accurately distinguish the mineralogical characteristics of mineral medicines,such as the mineral composition,elemental state and embedded characteristics,and provide data support for the research of mineral medicine resources,but also provide scientific basis for the establishment of systematic quality standards,the analysis of the preparation mechanism,the revelation of its potential medicinal effect of the material basis and the control of the risk of heavy metals.

Objective:To analyze the effects of shared decision-making in patients with type 2 diabetic mellitus.Methods:Databases including PubMed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang Datebase, COVIP and SinoMed, for randomized controlled trials (RCTs) on the application of shared decision-making in patients with type 2 diabetic mellitus from inception to July 22, 2023, used R Studio software for meta-analysis.Results:A total of 14 RCTs and 2 606 patients with type 2 diabetic mellitus were included. The results of meta-analysis showed that the shared decision-making can alleviate the decision-making conflict of type 2 diabetic mellitus patients ( MD=-3.18, 95% CI -5.36 to -0.99, P<0.05), improve the decision-making self-efficacy ( MD=5.82, 95% CI 2.34 to 9.30, P<0.05), medication compliance ( RR=1.08, 95% CI 1.01 to 1.16, P<0.05), and diabetes-related knowledge ( SMD=0.46, 95% CI 0.16 to 0.75, P<0.05), reduce BMI ( MD=-0.75, 95% CI-1.33 to -0.17, P<0.05) and the HbA1c level ( MD=-0.45, 95% CI -0.65 to -0.24, P<0.05) in the 3-month follow-up. Conclusions:The shared decision-making improves the self-management in patients with type 2 diabetic mellitus. However, the long-term effect and potential risks of this model still need to be further studied. It is suggested that the application of shared decision-making in type 2 diabetic mellitus patients should be optimized in the future, and research on the long-term effects and potential risks of this model should be increased.

ObjectiveTo establish fingerprint profiles and a quantitative determination method for Lycii Cortex， providing a scientific basis for the formulation of quality standards for Lycii Cortex and its roasted products. MethodsHigh performance liquid chromatography（HPLC） was developed for the quantitative method for determining kukoamine B in Lycii Cortex and its roasted products on an Alphasil XD-C₁₈ CH column（4.6 mm×250 mm， 5 μm）. HPLC fingerprint profiles were established for 10 batches of Lycii Cortex and its roasted products， and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to identify the common peaks based on reference standards， literature and MS information. Quality evaluation indicators included yield of decoction pieces， appearance properties， content of kukoamine B， and fingerprint profiles. The temperature and time of the roasting process were investigated to select the optimal preparation process， which was then verified. Additionally， chemical pattern recognition was combined to assess the differences in the chemical composition of Lycii Cortex before and after roasting， as well as among samples from different origins. ResultsQuantitative analysis indicated that the contents of kukoamine B in Lycii Cortex and its roasted products were 0.35%-5.51% and 0.24%-4.15%， respectively. The transfer rate of kukoamine B was 58.6%-78.9% after roasting. The fingerprint profile analysis demonstrated that the method established in this study effectively separated kukoamine B from other components in the samples and distinctly differentiated it from its impurity peak， cis-N-caffeoylputrescine. The HPLC fingerprint profiles of Lycii Cortex and its roasted products showed high similarity（all above 0.95）， with 7 common peaks identified and five common components， including kukoamine B， cis-N-caffeoylputrescine， N-coumaroyl tyramine， feruloyltyramine， and glucosyringic acid， confirmed. Process optimization confirmed that baking at 110 ℃ for 20 min was a stable and feasible method for roasting Lycii Cortex. Principal component analysis and cluster analysis showed that there was little difference in the chemical composition between raw and roasted Lycii Cortex， but the quality of Lycii Cortex from different origins differed greatly. ConclusionThis study successfully established the fingerprint profiles and a quantitative method for the effective component kukoamine B in Lycii Cortex and roasted Lycii Cortex. The qualitative and quantitative analyses clarified that the impact of the roasting process on the chemical composition of Lycii Cortex was less significant than the variations due to its geographical origin. The findings of this study offer a reference for the development of quality evaluation methods and the establishment of quality standards for Lycii Cortex and its processed products.

Objective:Postoperative neurosurgical bacterial meningitis (PNBM) has been frequently reported, but fewer studies have focused on the contemporaneous comparison of clinical features of PNBM caused by different pathogenic bacteria. This study aimed to simultaneously investigate the clinical characteristics and outcomes of PNBM by Gram-positive bacterial(GPB) or Gram-negative bacterial (GNB) infection.Methods:Inpatients with PNBM at our institution were recruited between February 2013 and October 2023. These PNBM patients were categorized into two groups: GPB infection and GNB infection. Data from electronic medical records were collected and analyzed.Results:A total of 401 patients with PNBM were finally included, with 78 (19.5%) having GPB infections and 323 (80.5%)having GNB infection. The average age of the patients was 56 years, and 55.1% were male. Compared to the GPB group, PNBM patients with GNB infection had significantly higher SOFA and APACHE Ⅱ scores, higher proportions of hyperthermia (body temperature>39°C) and altered consciousness, increased ratios of postoperative cerebral hemorrhage or intracranial aneurysm, as well as greater needs for ICU treatment and mechanical ventilation (all P <0.05). The proportions of inflammatory indicators such as blood CRP and PCT≥2 ng/mL, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (TBIL) were significantly higher in the GNB group (all P<0.05). In contrast, The concentrations of hemoglobin and albumin were substantially lower in this group(both P <0.05). Additionally, the cerebrospinal fluid in the GNB group showed significantly higher nucleated cell counts, protein concentration, and adenosine deaminase concentration, and but lower glucose level (all P <0.001). A total of 426 bacterial strains were isolated, with 343 strains (80.5%) being GNB and 83 strains (19.5%) being GPB. Among these, 25 (6.2%) patients had 2 or more gram-positive or gram-negative bacterial infections. The proportions of multidrug-resistant (MDR) bacteria and intrathecal treatment were higher in the GNB group (80.5% vs. 68.7%, 36.5% vs. 2.6%, respectively), while the ratio of correct empirical antibiotic treatment was significantly lower (30.3% vs. 80.0%) (all P <0.05). In terms of outcomes, the length of stay in the ICU was significantly longer in the GNB group [(median (interquartile range, IQR): 11.5 (5.25,22.75) vs. 17.0 (9.0,30.0), P <0.01)], and the rate of septic shock (9.3% vs. 2.6%), poor prognosis (GCS≤8 at discharge) (65.9% vs. 32.1%), and 28-day hospital mortality rate (34.4% vs. 10.3%) were significantly higher compared to the GPB group (all P <0.05). However, there were no differences in 7-day hospital mortality and total hospitalization time. Conclusions:Gram-negative bacterial infections are more prevalent than Gram-positive bacterial infections in PNBM, and they are also associated with more severe symptoms, abnormal cerebrospinal fluid findings, higher severity, and more treatment difficulty. Despite comparable short-term (7-day) mortality rates between Gram-positive and Gram-negative bacterial infections, Gram-negative bacterial infections result in higher medium- to long-term (14-day and 28-day) case-fatality rates among patients with post-neurosurgical bacterial meningitis and are associated with overall poorer prognosis, warranting greater attention from clinicians.

Objective:To investigate the feasibility of the bortezomib, lenalidomide, and dexamethasone (VRD) regimen combined with autologous hematopoietic stem cell transplantation (auto-HSCT) in patients with multiple myeloma (MM) and renal impairment, analyze treatment efficacy and renal responses stratified based on renal dysfunction severity, and explore the prognostic significance of early renal response and its affecting factors.Methods:This retrospective study, conducted at the First Affiliated Hospital of Soochow University, categorized 316 patients with newly diagnosed MM (NDMM) from August 2018 to October 2022 based on renal function for analysis of clinical characteristics, treatment response, and prognosis. Continuous variables were compared using t-tests or Mann-Whitney U tests, categorical variables utilizing Chi-square tests, survival outcomes employing Kaplan-Meier and Log-rank tests, and renal response predictors with logistic regression.Results:Patients were stratified based on baseline estimated glomerular filtration rate (eGFR) : normal [≥90 ml·min -1· (1.73 m 2) -1, n=160], mild [≥60 ml·min -1· (1.73 m 2) -1 to <90 ml·min -1· (1.73 m 2) -1, n=55], moderate [≥30 ml·min -1· (1.73 m 2) -1 to <60 ml·min -1· (1.73 m 2) -1, n=39], and severe impairment [<30 ml·min -1· (1.73 m 2) -1, n=62]. Moderate and severe renal impairment correlated with advanced International Staging System/Revised International Staging System classification, lower hemoglobin levels, frailty, and higher light-chain/IgD subtype prevalence ( P<0.05). Despite younger age ( P=0.001) and higher transplant rates ( P=0.041) in severe cases, overall response rates ( ORR: 93.7% ; ≥VGPR: 82.9% ) were comparable across groups ( P>0.05). Among 24 dialysis-dependent patients at diagnosis, 11 (45.8% ) achieved dialysis independence after induction [median: 3.0 (0.5–4.0) months], including 10 undergoing auto-HSCT. In 89 evaluable patients [baseline eGFR <50 ml·min -1· (1.73 m 2) -1], renal ORR (RORR) was 70.8% [rapid complete response: 31.5% ; rapid partial response: 11.2% ; rapid minimal response (RMR) : 28.1% ]. Renal response predicted better survival (overall survival: HR=0.36, 95% CI: 0.13–0.99, P=0.049). Moderate-to-severe renal impairment was associated with increased transplant-related adverse events and delayed engraftment ( P<0.05) ; however, auto-HSCT significantly improved outcomes after 33.5-month median follow-up (range: 2–65 months). Multivariate analysis identified 1q21+ ( OR=3.58, 95% CI: 1.17–11.02, P=0.026) and light-chain subtype ( OR=2.86, 95% CI: 1.08–7.69, P=0.036) as independent predictors of poor renal response. Conclusion:VRD regimen plus auto-HSCT demonstrates robust efficacy in NDMM, including patients with renal impairment, with a 70.8% RORR and manageable toxicity. Achieving ≥RMR correlates with superior prognosis, whereas 1q21+ and light-chain subtype independently predict inferior renal response.

OBJECTIVES: Whether vortioxetine has a utility as an adjuvant drug in the treatment of bipolar depression remains controversial. This study aimed to validate the efficacy and safety of vortioxetine in bipolar depression. METHODS: Patients with bipolar Ⅱ depression were enrolled in this prospective, two-center, randomized, 12-week pilot trial. The main indicator for assessing treatment effectiveness was a Montgomery-Asberg Depression Rating Scale (MADRS) of ≥50%. All eligible patients initially received four weeks of lurasidone monotherapy. Patients who responded well continued to receive this kind of monotherapy. However, no-response patients were randomly assigned to either valproate or vortioxetine treatment for eight weeks. By comprehensively comparing the results of MADRS over a period of 4‍‒‍12 weeks, a systematic analysis was conducted to determine whether vortioxetine could be used as an adjuvant drug for treating bipolar depression. RESULTS: Thirty-seven patients responded to lurasidone monotherapy, and 60 patients were randomly assigned to the valproate or vortioxetine group for eight weeks. After two weeks of combined valproate or vortioxetine treatment, the MADRS score in the vortioxetine group was significantly lower than that in the valproate group. There was no difference in the MADRS scores between the two groups at 8 and 12 weeks. The incidence of side effects did not significantly differ between the valproate and vortioxetine groups. Importantly, three patients in the vortioxetine group appeared to switch to mania or hypomania. CONCLUSIONS This study suggested that lurasidone combination with vortioxetine might have potential benefits to bipolar II depression in the early stage, while disease progression should be monitored closely for the risk of switching to mania.
Humans ; Bipolar Disorder/drug therapy* ; Vortioxetine/therapeutic use* ; Male ; Female ; Middle Aged ; Adult ; Valproic Acid/administration & dosage* ; Lurasidone Hydrochloride/administration & dosage* ; Prospective Studies ; Treatment Outcome ; Pilot Projects ; Drug Therapy, Combination ; Sulfides/therapeutic use* ; Antidepressive Agents/therapeutic use*

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Rheumatoid arthritis (RA) represents a persistent autoimmune condition distinguished by a multifaceted etiology that encompasses both genetic and environmental factors. Recent progress in understanding the mechanisms behind RA pathogenesis has delved into the critical role of epigenetic regulatory processes, including DNA methylation, histone modifications, and the regulation by microRNAs (miRNAs). These findings provide new insights into the intricate nature of RA and pave the way for innovative therapeutic strategies. This review consolidates the latest developments in the epigenetic regulation of RA, concentrating on how these mechanisms affect the dysregulated signaling pathways associated with the disease. We analyze the roles of specific proteins that function as 'writers', 'erasers', and 'readers' in epigenetic modifications, highlighting their potential as targets for therapeutic intervention. Additionally, in view of the significance of miRNAs in the pathogenesis of RA, we deliberate on their involvement in disease progression and explore miRNA-based treatment strategies. By integrating these diverse epigenetic dimensions, this review offers a comprehensive epigenetic perspective on RA pathogenesis and identifies promising avenues for future research and therapeutic interventions.