ObjectiveTo construct a nomogram prediction model for non-valvular persistent atrial fibrillation （PeAF） patients with left ventricular hypertrophy （LVH） ， followed by prognostic analysis through follow-up. MethodsThis study retrospectively enrolled 949 patients with newly diagnosed and hospitalized non-valvular PeAF. Among them， 403 patients presented with LVH. The cohort was randomly stratified into a training set （n=665） and a validation set （n=284）. Univariate and multivariate Logistic regression analyses were employed to identify independent risk factors for PeAF complicated by LVH. A nomogram prediction model was subsequently constructed and evaluated for discriminative ability， calibration， and clinical utility using receiver operating characteristic （ROC） curve analysis， calibration plots， and decision curve analysis （DCA）. ResultsSeven independent risk factors were ultimately identified and included in the prediction model： female sex， hypertension， diabetes， red blood cell distribution width-SD （RDW-SD）， body mass index （BMI）， left atrial diameter （LAD）， and left ventricular ejection fraction （LVEF）. The area under the ROC curve （AUC） in the training set was 0.862 （95% CI： 0.834-0.890）， and in the validation set， it was 0.870 （95% CI： 0.829-0.911）， demonstrating excellent predictive performance. ConclusionIndependent risk factors for LVH in PeAF patients include female， hypertension， diabetes， RDW-SD， BMI， LAD， and LVEF. The prediction model built based on this can help early identification of PeAF patients with high risk of LVH. At the same time， the incidence of major adverse cardiovascular events （MACE） is higher in PeAF patients with LVH. Patients with atrial fibrillation combined with LVH may benefit from catheter ablation.

Objective: Exploring the effect and mechanism of Xinyang Tablet on reduction of ferroptosis in myocardial cells from mice with chronic heart failure. Methods: Sixty C57BL/6J mice were randomly assigned to the sham, model, Xinyang Tablet low-dose (0.34 g/kg), Xinyang Tablet medium-dose (0.68 g/kg), Xinyang Tablet high-dose (1.36 g/kg), and perindopril (0.607 mg/kg) groups using a random number table method (10 mice in each group). Except for the sham group, all other groups underwent aortic arch constriction surgery to construct a chronic heart failure model. On the third day after completion of the modeling, each treatment group was administered the corresponding medication by gavage, while the sham and model groups were administered equal volumes of water by gavage once a day for eight consecutive weeks. After treatment, cardiac ultrasound was used to detect the structure and function of the mouse heart. Hematoxylin and eosin staining was used to detect pathological changes in mouse heart tissue. Masson staining was used to detect the proportion of fibrotic area of mouse heart tissue. Realtime fluorescence PCR was used to detect the mRNA expression of atrial natriuretic peptide (ANP), brain natriuretic peptide (BNP), collagen 3α (Col3α), and myosin heavy chain 7 (MYH7) in mouse myocardial tissue. Transmission electron microscope was used to detect the ultrastructure of myocardial cell mitochondria. Reactive oxygen species (ROS) staining was used to detect the mean fluorescence intensity of ROS in myocardial tissue. Micro-determination was used to detect superoxide dismutase (SOD) activity in myocardial tissue. An immunofluorescence assay was used to detect the mean fluorescence intensity of phosphorylated histone deacetylase 2 (p-HDAC2) in myocardial cell. Western blotting was used to detect the protein expression of nuclear factor-erythroid 2-related factor 2 (Nrf2), p-HDAC2, nicotinamide adenine dinucleotide phosphate oxidase 1 (NOX1), glutathione peroxidase 4 (GPX4), and cystine glutamate reverse transporter (xCT) in mouse myocardial tissue. Results: Compared to the sham group, the model group showed a decrease in left ventricular ejection fraction (LVEF), left ventricular fraction shortening (LVFS), an increase in left ventricular end-systolic diameter(LVESD) and left ventricular end-diastolic diameter (LVEDD), an increase in the proportion of cardiac fibrosis area, an increase in relative expression levels of ANP, BNP, Col3α, and MYH7 mRNA, an increase in ROS mean fluorescence intensity, a decrease in SOD activity, an increase in mean fluorescence intensity of p-HDAC2, an increase in relative expression levels of p-HDAC2 and NOX1 proteins, and a decrease in relative expression levels of Nrf2, GPX4, and xCT proteins (P<0.05). Myocardial fibrosis lesions are obvious, with disordered mitochondrial arrangement, decreased volume and shrinkage, increased membrane density, and reduced mitochondrial cristae. Compared to the model group, the LVEF and LVFS of mice in each dose group of Xinyang Tablet and the perindopril group increased, LVESD and LVEDD decreased, the proportion of fibrotic area of heart tissue decreased, the relative expression levels of ANP, BNP, Col3α, MYH7 mRNA decreased, ROS mean fluorescence intensity decreased, SOD activity increased, mean fluorescence intensity of p-HDAC2 decreased, relative expression levels of p-HDAC2 and NOX1 proteins decreased, and relative expression levels of Nrf2 and xCT proteins increased (P<0.05). Myocardial fibrosis was reduced, the mitochondrial arrangement was more regular, the mitochondria enlarged, the membrane density was reduced, and mitochondrial cristae increased. Compared to the model group, the relative expression level of the GPX4 protein in myocardial tissue increased in the Xinyang Tablet medium-, high-dose, and the perindopril groups (P<0.05). Conclusion Xinyang Tablet can improve ferroptosis and ventricular remodeling in mice with chronic heart failure by regulating the HDAC2-mediated Nrf2 antioxidant pathway.

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes

Local anesthetics (LAs), such as articaine (AT), exhibit limited efficacy in inflammatory environments, which constitutes a significant limitation in their clinical application within oral medicine. In our prior research, we developed AT-17, which demonstrated effective properties in chronic inflammatory conditions and appears to function as a novel oral LA that could address this challenge. In the present study, we further elucidated the beneficial effects of AT-17 in acute inflammation, particularly in oral acute inflammation, where mitochondrial-related apoptosis played a crucial role. Our findings indicated that AT-17 effectively inhibited lipopolysaccharide (LPS)-induced nerve cell apoptosis by ameliorating mitochondrial dysfunction in vitro. This process involved the inhibition of mitochondrial reactive oxygen species (mtROS) production and the subsequent activation of the NRF2 pathway. Most notably, improvements in mitochondria-related apoptosis were key contributors to AT-17's inhibition of voltage-gated sodium channels. Additionally, AT-17 was shown to reduce mtROS production in nerve cells through the Na⁺/NCLX/ETC signaling axis. In conclusion, we have developed a novel local anesthetic that exhibits pronounced anesthetic functionality under inflammatory conditions by enhancing mitochondria-related apoptosis. This advancement holds considerable promise for future drug development and deepening our understanding of the underlying mechanisms of action.

Follicular variant of papillary thyroid carcinoma(FVPTC)is commonly found in young and middle-aged women,and cases in children and adolescents are relatively rare.The main driving genes of FVPTC are the RAS oncogene family or B-Raf proto-oncogene serine/threonine protein kinase(BRAF),and DICER1 gene mutation is rarely reported in this subtype.This article reports a case of recurrent FVPTC with positive DICER1 mutation in an adolescent,aiming to provide reference for the clinical diagnosis and treatment of FVPTC.The patient,a 19-year-old female,underwent total thyroidectomy and central lymph node dissection due to thyroid nodules 5 years ago,and was pathologically diagnosed with follicular tumor of uncertain malignant potential(FT-UMP);after surgery,the patients did not regularly undergo thyroid-stimulating hormone(TSH)suppression therapy and follow-up as instructed.Two months ago,the patient visited the hospital due to enlarged cervical lymph nodes,imaging suggested tumor recurrence with metastases to both lungs and vertebrae,and multigene testing indicated a DICER1 gene mutation.After comprehensive multidisciplinary consultation,bilateral cervical lymph node dissection was performed,and postoperative pathology confirmed the diagnosis of metastatic FVPTC.Te clinicans should focus on rare gene mutations such as DICER1 in the FVPTC patients,and for adolescent patients,follow-up and formulation of individualized treatment plans should be emphasized to achieve early tumor identification and precise intervention,and improve the long-term prognosis of patients.

Objective To investigate the molecular typing,virulence,and drug resistance characteristics of Staphylococcus aureus(SA)in bone and joint infections,providing basis for anti-infection treatment.Methods The SA strains isolated from inpatients with bone and joint infections in Beijing Jishuitan Hospital,Capital Medical University from January 2014 to December 2021 were collected.Multi-locus sequence typing(MLST)and Staphylococcal A protein(Spa)typing for all the strains and Staphylococcal cassette chromo-some mec(SCCmec)typing of methicillin-resistant Staphylococcus aureus(MRSA)were performed based on whole genome sequencing.The virulence genes and drug resistance genes of the strains were identified by online database.The antimicrobial susceptibility tests were carried by automatic microbiological assay system.Results MRSA accounted for 30.0％of the 100 isolated strains of SA.A total of 22 ST types and 39 Spa types were identified in the 100 strains of S.aureus,among which ST59(16.0％)and ST239(14.0％)were the dominant ST types,and t437(13.0％)and t030(10.0％)were the dominant Spa types.ST239-SCCmecⅢ-t030/t037 clone(46.7％)was the main epidemic clone in MRSA isolates.The biofilm gene(icaA,icaB,icaC,icaD,icaR),hemolysin gene(hlb,hld,hlgA,hlgB,hlgC),adhesion gene(clfA,clfB,fnbA,fnbB,ebp),and immune escape gene(adsA,sbi,scn)were widespread in all SA strains,with detection rates ranging from 89.0％to 100.0％.The detection rates of enterotoxin genes seb(43.3％),selk(93.8％)and selq(83.3％)in MRSA were significantly higher than those in methicillin-sensitive Staphylococcus aureus(MSSA)(all P＜0.05).In terms of drug-resistance characteristics,the detection rate of the resistance gene blaZ(87.0％)was the highest among all the S.aureus strains.In the isolated MRSA strains,the detection rate of resistance genes for erm(A),tet(M),aph(3')-Ⅲ,ant(6)-Ⅰa,ant(9)-Ⅰa,and aac(6')-aph(2")ranged from 43.3％to 50.0％,which were significantly higher than those in MSSA(all P＜0.05).The results of the drug-sensitivity test showed that the resistant rates of S.aureus strains to penicillin,erythromycin,and clindamycin were relatively high(89.0％,67.0％,and 51.0％,respectively).The resistant rates of MRSA to the antimicrobial agents commonly used in clinical practice were significantly higher than those of MSSA(all P＜0.05).Conclusion The molecular epidemiological char-acteristics of SA strains isolated from bone and joint infections were diversified in our hospital.ST239-SCCmecⅢ-t030/t037 was the most common epidemic clone among the strains.There were significant differences in the resistance genes and drug resistance rates be-tween MRSA and MSSA strains,for which clinical attention should be paid.

Peroxisome proliferator activated receptor-α (PPAR-α) is significantly expressed in various tissues such as the liver, kidney, myocardium, and skeletal muscle, which plays a central role in the development of various diseases by regulating key physiological processes such as energy homeostasis, redox balance, inflammatory response, and ferroptosis. As an important metabolic and excretory organ of the body, renal dysfunction can lead to water and electrolyte imbalance, toxin accumulation, and multiple system complications. The causes of kidney injury are complex and diverse, including acute injury factors (such as ischemia/reperfusion, nephrotoxic drugs, septic shock, and immune glomerulopathy), as well as chronic progressive causes [such as metabolic disease-related nephropathy, hypertensive nephropathy (HN)], and risk factors such as alcohol abuse, obesity, and aging. This review briefly describes the structure, function, and activity regulation mechanism of PPAR-α, systematically elucidates the molecular regulatory network of PPAR-α in the pathological process of kidney injury including acute kidney injury (AKI) such as renal ischemia/reperfusion injury (IRI), drug-induced AKI, sepsis-associated acute kidney injury (SA-AKI), glomerulonephritis, chronic kidney disease (CKD) such as diabetic nephropathy (DN), HN, and other kidney injury, and summarizes the mechanisms related to PPAR-α regulation of kidney injury, including regulation of metabolism, antioxidation, anti-inflammation, anti-fibrosis, and anti-ferroptosis. This review also evaluates PPAR-α's medical value as a novel therapeutic target, and aims to provide theoretical basis for the development of kidney protection strategies based on PPAR-α targeted intervention.
Humans ; PPAR alpha/metabolism* ; Acute Kidney Injury/therapy* ; Animals ; Kidney/metabolism*

BACKGROUND:Currently,artificial corneas used for full-thickness transplantation lack biological activity and mechanical adaptability.Composite artificial corneas face interface issues between the corneal button and surrounding components.OBJECTIVE:To prepare an integrated artificial cornea with peptide enhancement,matched mechanical strength to natural cornea,and excellent transparency via in situ ultraviolet light curing of decellularized porcine cornea.METHODS:Non-ionic decellularization reagent Triton X-100 combined with ultrasonic freeze-thawing and super nucleases was utilized to prepare decellularized porcine cornea.Hydroxyethyl methacrylate monomer and photoinitiator were introduced into the decellularized porcine cornea simultaneously.Ultraviolet light with a filter was used to cover the peripheral region except for the central area,where polymerization was initiated using 275 nm ultraviolet light.After removal of unreacted monomers and initiators,the central optical zone was obtained.Similarly,the posterior lamellar layer was polymerized to form the hydrophobic barrier zone.Finally,REG active polypeptide was introduced to obtain in situ integrated full-layer artificial cornea.The physical properties,mechanical properties,transparency,degradation properties and in vivo and in vitro biocompatibility of artificial cornea were characterized.RESULTS AND CONCLUSION:(1)An optical region with the co-existence of polymer and collagen fibers was constructed in situ using hydroxyethyl methacrylate in the central region of decellularized porcine cornea.Under scanning electron microscopy,the upper surface of the artificial cornea was rough and irregular,with obvious concave and convex structure,and the lower surface was relatively smooth.The artificial cornea had mechanical properties close to those of natural cornea.The transparency of the optical zone reached 80%of that of the natural cornea.After soaking in PBS aseptic solution containing collagenase,it could preserve the solidified optical region and hydrophobic barrier zone,and maintain the basic structure of cornea.The artificial cornea had good cytocompatibility,could provide a suitable adhesion and growth environment for cells,was conducive to the migration and adhesion of corneal epithelial cells,promoted the growth of vascular endothelial cells and the formation of new blood vessels,and promoted the epithelialization process.The artificial cornea had good biocompatibility and safety after 12 weeks of subcutaneous implantation in SD rats,and could reduce the acute inflammatory reaction at the initial stage of implantation.(2)The results show that the integrated full-layer artificial cornea prepared by the experiment has the potential as a full-layer artificial cornea scaffold.

Thyroid cancer is the most prevalent malignant tumor of the endocrine system,and its incidence has shown a significant upward trend in recent years.Acetylation,an important post-translational protein modification,is involved in regulating gene transcription,cell cycle progression,and invasion ability in various types of thyroid cancers.Additionally,histone deacetylase(HDAC)inhibitors have shown potential in the treatment of thyroid cancer.This article systematically reviews the biological functions and regulatory mechanisms of acetylation in the development and progression of thyroid cancer based on recent literature.Furthermore,it discusses the clinical application prospects of HDAC inhibitors,providing a solid theoretical basis and feasible therapeutic strategies for targeted therapy of thyroid cancer.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.