Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline, functional impairment, and neuropsychiatric symptoms. It represents the most prevalent form of dementia among the elderly population. Accumulating evidence indicates that oxidative stress plays a pivotal role in the pathogenesis of AD. Notably, elevated levels of oxidative stress have been observed in the brains of AD patients, where excessive reactive oxygen species (ROS) can cause extensive damage to lipids, proteins, and DNA, ultimately compromising neuronal structure and function. Amyloid β‑protein (Aβ) has been shown to induce mitochondrial dysfunction and calcium overload, thereby promoting the generation of ROS. This, in turn, exacerbates Aβ aggregation and enhances tau phosphorylation, leading to the formation of two pathological features of AD: extracellular Aβ plaque deposition and intracellular neurofibrillary tangles (NFTs). These events ultimately culminate in neuronal death, forming a vicious cycle. The interplay between oxidative stress and these pathological processes constitutes a core link in the pathogenesis of AD. The signaling pathways mediating oxidative stress in AD include Nrf2, RCAN1, PP2A, CREB, Notch1, NF‑κB, ApoE, and ferroptosis. Nrf2 signaling pathway serves as a key regulator of cellular redox homeostasis, exerts important antioxidant capacity and protective effects in AD. RCAN1 signaling pathway, as a calcineurin inhibitor, and modulates AD progression through multiple mechanisms. PP2A signaling pathway is involved in regulating tau phosphorylation and neuroinflammation processes. CREB signaling pathway contributes to neuroplasticity and memory formation; activation of CREB improves cognitive function and reduce oxidative stress. Notch1 signaling pathway regulates neuronal development and memory, participates in modulation of Aβ production, and interacts with Nrf2 toco-regulate antioxidant activity. NF‑κB signaling pathway governs immune and inflammatory responses; sustained activation of this pathway forms “inflammatory memory”, thereby exacerbating AD pathology. ApoE signaling pathway is associated with lipid metabolism; among its isoforms, ApoE-ε4 significantly increases the risk of AD, leading to elevated oxidative stress, abnormal lipid metabolism, and neuroinflammation. The ferroptosis signaling pathway is driven by iron-dependent lipid peroxidation, and the subsequent release of lipid peroxidation products and ROS exacerbate oxidative stress and neuronal damage. These interconnected pathways form a complex regulatory network that regulates the progression of AD through oxidative stress and related pathological cascades. In terms of therapeutic strategies targeting oxidative stress, among the drugs currently used in clinical practice for AD treatment, memantine and donepezil demonstrate significant therapeutic efficacy and can improve the level of oxidative stress in AD patients. Some compounds with antioxidant effects (such asα-lipoic acid and melatonin) have shown certain potential in AD treatment research and can be used as dietary supplements to ameliorate AD symptoms. In addition, non-drug interventions such as calorie restriction and exercise have been proven to exerted neuroprotective effects and have a positive effect on the treatment of AD. By comprehensively utilizing the therapeutic characteristics of different signaling pathways, it is expected that more comprehensive multi-target combination therapy regimens and combined nanomolecular delivery systems will be developed in the future to bypass the blood-brain barrier, providing more effective therapeutic strategies for AD.

The main active compound, 3,4-dihydroxyacetophenone(3,4-DHAP), in the leaves of Ilex pubescens var. glaber, exhibits various pharmacological activities, including vasodilation and heart protection. Currently, natural extraction and chemical synthesis are the primary methods for obtaining 3,4-DHAP, but both approaches have inherent challenges. To address these problems, this study explored the whole-cell bioconversion of 1-(4-hydroxyphenol)-ethanol to 3,4-DHAP using recombinant Escherichia coli, cultivated in a green, cost-effective medium at room temperature and atmospheric pressure. Firstly, this study successfully constructed recombinant E. coli S1, which contained only the HpaBC gene, and recombinant E. coli S3, which contained both the Hped and HpaBC genes. The ability of S1 and S3 to synthesize 3,4-DHAP from their respective substrates was then evaluated through whole-cell bioconversion. Based on these results, the effects of four factors, i.e., substrate concentration, IPTG concentration, induction temperature, and transformation temperature, on the whole-cell bioconversion yield of S3 were investigated using an orthogonal experiment. The results showed that the factors influenced the yield in the following order: transformation temperature > induction temperature > IPTG concentration > substrate concentration. The optimal conditions were found to be a transformation temperature of 35 ℃, IPTG concentration of 0.1 mmol·L~(-1), induction temperature of 25 ℃, and substrate concentration of 10 mmol·L~(-1). Finally, the effect of transformation time on the yield of 3,4-DHAP was further examined under the optimal conditions. The results indicated that as the transformation time increased, the yield of 3,4-DHAP steadily increased. The highest yield of 260 mg·L~(-1) with a productivity of 17% was achieved after 72 hours of transformation. In conclusion, this study successfully achieved the whole-cell bioconversion of 1-(4-hydroxyphenol)-ethanol to 3,4-DHAP using recombinant E. coli for the first time, laying the groundwork for further optimization and development of the biosynthesis of 3,4-DHAP.
Escherichia coli/genetics* ; Acetophenones/chemistry* ; Ethanol/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Biotransformation

Guided by the concept of quality by design(QbD), this study optimizes the calcination and quenching process of calcined Magnetitum and establishes the XRD characteristic spectra of calcined Magnetitum, providing a scientific basis for the formulation of quality standards. Based on the processing methods and quality requirements of Magnetitum in the Chinese Pharmacopoeia, the critical process parameters(CPPs) identified were calcination temperature, calcination time, particle size, laying thickness, and the number of vinegar quenching cycles. The critical quality attributes(CQAs) included Fe mass fraction, Fe~(2+) dissolution, and surface color. The weight coefficients were determined by combining Analytic Hierarchy Process(AHP) and the criteria importance though intercrieria correlation(CRITIC) method, and the calcination process was optimized using orthogonal experimentation. Surface color was selected as a CQA, and based on the principle of color value, the surface color of calcined Magnetitum was objectively quantified. The vinegar quenching process was then optimized to determine the best processing conditions. X-ray diffraction(XRD) was used to establish the characteristic spectra of calcined Magnetitum, and methods such as similarity evaluation, cluster analysis, and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to evaluate the quality of the spectra. The optimized calcined Magnetitum preparation process was found to be calcination at 750 ℃ for 1 h, with a laying thickness of 4 cm, a particle size of 0.4-0.8 cm, and one vinegar quenching cycle(Magnetitum-vinegar ratio 10∶3), which was stable and feasible. The XRD characteristic spectra analysis method, featuring 9 common peaks as fingerprint information, was established. The average correlation coefficient ranged from 0.839 5-0.988 1, and the average angle cosine ranged from 0.914 4 to 0.995 6, indicating good similarity. Cluster analysis results showed that Magnetitum and calcined Magnetitum could be grouped together, with similar compositions. OPLS-DA discriminant analysis identified three key characteristic peaks, with Fe_2O_3 being the distinguishing component between the two. The final optimized processing method is stable and feasible, and the XRD characteristic spectra of calcined Magnetitum was initially established, providing a reference for subsequent quality control and the formulation of quality standards for calcined Magnetitum.
X-Ray Diffraction/methods* ; Drugs, Chinese Herbal/chemistry* ; Quality Control ; Particle Size

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

OBJECTIVE: To investigate the clinical effect and adverse reactions of dapoxetine hydrochloride versus paroxetine in the treatment of primary premature ejaculation by cross-comparison. METHODS: Based on the clinic-visit time, we equally randomized 148 patients with primary premature ejaculation into groups A and B for a cross-comparison test, the former treated with paroxetine at 20 mg once nightly and the latter with dapoxetine hydrochloride at 30 mg on demand, both for 6 successive weeks, during which we observed the therapeutic effects and adverse reactions. Following 4 weeks of drug discontinuance, we administered dapoxetine hydrochloride at 30 mg on demand for group A and paroxetine at 20 mg once nightly for group B, both for another 6 successive weeks, followed by observation and comparison of the therapeutic effects and adverse reactions. RESULTS: There were no statistically significant differences in the initial characteristics of the two groups of patients (P > 0.05). Compared with the baseline, the mean intra-vaginal ejaculation latency time (IELT) was dramatically improved after treatment in both groups A (4.43 min) and B (7.12 min), increased by 3.99% and 6.72%, respectively (P<0.001). The patients treated with paroxetine showed significantly longer IELT than those taking dapoxetine hydrochloride in both groups (P<0.001). Findings of the Premature Ejaculation Profile (PEP) and spouses' conditions indicated significant improvement after treatment in the average scores of the four indicators of PEP, that is, perceived control over ejaculation, ejaculation-related personal distress, satisfaction with sexual intercourse and ejaculation-related interpersonal difficulty, as well as in the overall experience and partner's satisfaction and orgasm frequency. Adverse reactions to medication were found in 20.8% of the cases in group A and 9.7% in group B, but none was serious. Preference survey following drug withdrawal revealed a preference for paroxetine (61.9%) over dapoxetine (26.8%), and that only a few of the patients thought of the two drugs as comparable or both ineffective. CONCLUSION In term of overall effectiveness, paroxetine was superior to dapoxetine in the treatment of primary premature ejaculation. And the patients obviously preferred the former to the latter, which might be partly attributed to the higher price of dapoxetine.
Humans ; Benzylamines/therapeutic use* ; Male ; Premature Ejaculation/drug therapy* ; Naphthalenes/therapeutic use* ; Paroxetine/therapeutic use* ; Adult ; Treatment Outcome ; Middle Aged ; Young Adult ; Selective Serotonin Reuptake Inhibitors/therapeutic use*

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective To investigate the nutritional status of children with Crohn's Disease (CD) at diagnosis and its association with clinical characteristics. Methods A retrospective analysis was performed for the clinical data and nutritional status of 118 children with CD who were admitted to Beijing Children's Hospital,Capital Medical University,from January 2016 to January 2024. A multivariate logistic regression analysis was used to investigate the risk factors for malnutrition. Results A total of 118 children with CD were included,among whom there were 68 boys (57.6％) and 50 girls (42.4％),with a mean age of (11±4) years. Clinical symptoms mainly included recurrent abdominal pain (73.7％,87/118),diarrhea (37.3％,44/118),and hematochezia (32.2％,38/118),and 63.6％ (75/118) of the children had weight loss at diagnosis. The incidence rate of malnutrition was 63.6％ (75/118),and the children with moderate or severe malnutrition accounted for 67％ (50/75). There were 50 children (42.4％) with emaciation,8 (6.8％) with growth retardation,and 9 (7.6％) with overweight or obesity. Measurement of nutritional indices showed a reduction in serum albumin in 83 children (70.3％),anemia in 74 children (62.7％),and a reduction in 25 hydroxyvitamin D in 15 children (60％,15/25). The children with malnutrition had significantly higher disease activity,proportion of children with intestinal stenosis,and erythrocyte sedimentation rate and a significant reduction in serum albumin (P<0.05). The multivariate logistic regression analysis showed that intestinal stenosis was an independent risk factor for malnutrition in children with CD (OR=4.416,P<0.05). Conclusions There is a high incidence rate of malnutrition in children with CD at diagnosis,which is associated with disease activity and disease behavior. The nutritional status of children with CD should be closely monitored.

Objective To construct and validate a nomogram prediction model for the high-risk human papilloma-virus(HPV)infection and its natural clearance in professional women.Methods Women with regular professions,who underwent professional medical examination and were confirmed with high-risk HPV infection without cervical cancer and cervical epithelial neoplasia in a hospital from March 2020 to March 2021 were studied.Patients were di-vided into the model group and the validation group in a 7:3 ratio.The model group were subdivided into the natural clearance group and the persistent infection group based on follow-up results.The general information,reproduc-tive-related treatment,sexual partner-related information,and examination results of the two groups of patients were compared.Potential factors for natural clearance of high-risk HPV infection in professional women were screened out by LASSO regression.Independent influencing factors were screened out with multivariate logistic re-gression.Based on multivariate logistic regression results,a nomogram prediction model was constructed and valida-ted using R programming language.Results A total of 329 cases were included,230 in the model group and 99 in the validation group.There was no statistically significant difference in general information between the two groups of patients(all P＞0.05).Among the 230 high-risk HPV infection patients in the model group,165 turned negative at the end of follow-up,with a natural clearance rate of 71.74％.Based on LASSO regression analysis,multivariate logistic regression analysis showed that age,contraceptive method,number of sexual partners,excessive foreskin of sexual partners,initial viral load,HPV infection type,and reproductive tract inflammation were independent influ-encing factors for the natural clearance of high-risk HPV infection in professional women(all P＜0.05).The re-ceiver operating characteristic(ROC)curve analysis showed that the areas under the curve(AUC)of natural clea-rance of high-risk HPV infection in professional women in the model group and validation group were 0.834(95％CI:0.776-0.893)and 0.817(95％CI:0.755-0.879),respectively.H-L goodness-of-fit test result showed that the difference between the nomogram model and the ideal model was not statistically significant(P＞0.05).The cali-bration curve results showed that the predicted curves of the model group and validation group were basically fit with the standard curve,indicating a high predictive accuracy of the model.The decision curve analysis results of the model group showed that when the probability threshold of natural clearance of high-risk HPV infection in profes-sional women predicted by the nomogram model was 0.15-0.95,the net benefit rate of patients was＞0.Conclusion The natural clearance rate of high-risk HPV infection in professional women is high,mainly influenced by factors such as age,contraceptive method,and number of sexual partners.The nomogram model constructed in this study has high accuracy and discrimination in predicting the natural clearance rate of high-risk HPV infection in profes-sional women.

Objective To investigate the clinical effect of orthopedic robot combined with Starr pelvic reduction frame in the treatment of Tile type C pelvic ring fracture.Methods From October 2019 to May 2021,14 patients with type C pelvic ring fracture were treated with robotic combined with Starr pelvic reduction frame,including 9 males and 5 females.The age ranged from 33 to 69 years.All the 14 patients had fresh closed fractures without femur,tibia and fibula fracture.Surgery was complet-ed from 4 to 7 d after hospital admission.During the operation,the X-ray carbon bed was used,the pelvic ring was reduced by Starr pelvis reduction frame,and pelvic ring fracture was treated by orthopedic robot.Operation time,bleeding volume,fluo-roscopy times of single screw placement,fracture reduction quality,affected limb function and complications were observed.Radiological reduction was evaluated using Matta scoring standard,and clinical efficacy was evaluated by Majeed pelvic func-tion scoring system at the final follow-up.Results All of 14 patients successfully completed the operation,the operation time was 84 to 141 min,the bleeding volume was 20 to 50 ml,and the fluoroscopy times of single screw insertion was 4 to 9 times.All of 14 patients were followed up for 12 to 24 months.The healing time was 3 to 7 months.No complications such as fracture of internal fixation,screw loosening,infection and nerve injury were found.According to the evaluation criteria of Matta imag-ing reduction,9 cases were excellent,4 cases were good,and 1 case was fair.At the final follow-up,Majeed pelvic function scoring system was used:10 cases were excellent,4 cases were good.Conclusion The treatment of type C pelvic ring fracture with robotic combined Starr pelvis reduction frame is simple,time-saving,less trauma,less complications and effective.

Objective To analyze and verify the role of senescent genes in the treatment,prognosis,and tumor microenvironment(TME)characteristics of osteoblastic osteosarcoma,bioinformatic methods were employed.Methods Senescent genes were obtained from the China National Genome Science database(https://ngdc.cncb.ac.cn/aging/index).The gene expression profile and clinical information of osteosarcoma patients were sourced from the TARGET database(https://ocg.cancer.gov/programs/target),while single-cell RNA-sequencing(scRNA-seq)data was collected from GSE162454 on the Gene Expression Omnibus(GEO)for downstream analysis.Osteosarcoma cells were classified based on scRNA-seq,and differential expression analysis between osteoblasts/chondroblasts and other cell types was conducted to identify differently expressed genes(DEGs).After matching with the senescent genes,prognostic senescent DEGs were identified through univariable and multivariable Cox regression analysis.Subsequently,the osteosarcoma senescent-related model(OSRM)was constructed,and the risk score was calculated.The role of OSRM in treatment,prognosis,and TME of osteosarcoma was further investigated.Results The analysis revealed that GSE162454 contained 6 osteosarcoma samples,with 19933 cells identified after filtering,quality control,and normalization.Seventeen cellular subtypes were identified using uniform manifold approximation and projection(UMAP)methods.A total of 4821 DEGs were found between osteoblasts/chondroblasts and other subtypes,with 132 senescent DEGs obtained after matching with the senescent gene set.In the TARGET database,4 prognostic senescent DEGs[ADH5(alcohol dehydrogenase 5),ARHGAP1(Rho GTPase activating protein 1),APOE(apolipoprotein E),and ATF4(activating transcription factor 4)]were identified through univariable and multivariable Cox analyses to construct OSRM.Based on risk score,patients were stratified into high-and low-risk groups,with the latter showing better prognosis(HR=0.13,95%CI 0.06-0.28,P<0.001)and higher sensitivity to immune checkpoint inhibitors.qRT-PCR and Western blotting confirmed the high expression of senescent genes ADH5(P<0.01),APOE(P<0.01),and ATF4(P<0.05)in the K7M2 osteosarcoma cell line,suggesting the potential for predicting the response to anti-PD-1 immunotherapy for osteosarcoma.Conclusions scRNA-seq facilitated the division of osteosarcoma into 17 cell subtypes.ADH5,ARHGAP1,APOE,and ATF4 emerged as potential cancer-promoting or suppressing senescent genes in osteosarcoma.OSRM was found to be associated with treatment response,prognosis,and TME characteristics,thereby promoting the molecular pathological diagnosis of osteoblastic osteosarcoma and prediction for anti-PD-1 immunotherapy.