Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

H 1-antihistamines are widely used in the treatment of various allergic diseases, but there are still many challenges in the safe and rational use of H 1-antihistamines in pediatrics, and there is a lack of guidance on the prescription review of H 1-antihistamines for children.In this paper, suggestions are put forward from the indications, dosage, route of administration, pathophysiological characteristics of children with individual difference and drug interactions, so as to provide reference for clinicians and pharmacists.

Anti-seizure medications (ASMs) are the main therapy for epilepsy.There are many kinds of ASMs with complex mechanism of action, so it is difficult for pharmacists to examine prescriptions.This paper put forward some suggestions on the indications, dosage forms/routes of administration, appropriateness of usage and dosage, combined medication and drug interaction, long-term prescription review, individual differences in pathophysiology of children, and drug selection when complicated with common epilepsy, for the reference of doctors and pharmacists.

Aristolochic acids (AAs) have long been considered as a potent carcinogen due to its nephrotoxicity. Aristolochic acid I (AAI) reacts with DNA to form covalent aristolactam (AL)-DNA adducts, leading to subsequent A to T transversion mutation, commonly referred as AA mutational signature. Previous research inferred that AAs were widely implicated in liver cancer throughout Asia. In this study, we explored whether AAs exposure was the main cause of liver cancer in the context of HBV infection in mainland China. Totally 1256 liver cancer samples were randomly retrieved from 3 medical centers and a refined bioanalytical method was used to detect AAI-DNA adducts. 5.10% of these samples could be identified as AAI positive exposure. Whole genome sequencing suggested 8.41% of 107 liver cancer patients exhibited the dominant AA mutational signature, indicating a relatively low overall AAI exposure rate. In animal models, long-term administration of AAI barely increased liver tumorigenesis in adult mice, opposite from its tumor-inducing role when subjected to infant mice. Furthermore, AAI induced dose-dependent accumulation of AA-DNA adduct in target organs in adult mice, with the most detected in kidney instead of liver. Taken together, our data indicate that AA exposure was not the major threat of liver cancer in adulthood.

Objective To investigate the effects of shoes type (barefoot, ordinary running shoes, minimalist shoes) and walking speed (jogging, walking at normal speed) on biomechanical parameters of knee joint, so as to provide theoretical reference for scientific fitness. Methods Vicon three-dimensional （3D） motion capture system and Kistler 3D force plate were used to collect biomechanical parameters of lower limbs from 10 subjects during walking at different speed with different shoes. Two-way (2 walking conditions × 3 shoe conditions) repeated measures analysis of variance was used to statistically analyze each dependent variable. Results Compared with jogging, the lateral excursion of plantar center of pressure (COP) was greater, the moment arm in frontal plane, the adduction moment and peak loading rate of knee joint were smaller, but the angular impulse of knee joint in frontal plane was greater. Compared with ordinary running shoes, the stride length was decreased, the lateral excursion of COP was greater, and the moment arm of knee joint in frontal plane, the knee adduction moment, the peak load rate and the angular impulse of knee joint in frontal plane were smaller. Conclusions In order to reduce the angular impulse and peak loading rate of knee joint in frontal plane, it is recommended to jog with small strides for ordinary people with minimalist footwear.

Objective: To evaluate the performance of high risk human papillomavirus (HR-HPV) DNA test for triage ASC-US in Chinese population. Methods: The study population was from Jiyuan city in Henan Province where a cervical cancer screening cohort (4 026 women) was set up from April to July in 2017. Women with ASC-US and complete recall information of colposcope were selected as the study objects. Self-designed questionnaire was used to survey the general information and medical history of cervical cancer, thencervical cytological speciments were collected for cytodiagnosis and HPV DNA test, followed by colposcopy, lesion biopsy and histology diagnose. The diagnosis of histology was used as the gold standard. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) as well as corresponding 95% confidential interval (CI) were calculated. Results: The average age of the included 393 women with ASC-US were (50.81±9.22) years old. The positivity of high risk human papillomavirus (HR-HPV), HPV16 and HPV18 were 35.6%, 10.69% and 2.80%, respectively. The sensitivity, specificity, PPV and NPV for HR-HPV to detect CIN2+ were 84.38% (68.25%-93.14%), 68.70% (63.74%-73.26%), 19.29% (13.61%-26.61%) and 98.02% (95.46%-99.15%). When compared with HR-HPV, HPV16/18 had a lower sensitivity (59.38% (42.26%-74.48%)) and a higher specificity(91.14% (87.75%-93.65%)), the PPV and NPV were 59.38% (25.32%-50.98%) and 91.14% (93.61%-97.77%). Conclusion It was more effective for HR-HPV to triage ASC-US than HPV16/18. In order to improve the effect of HPV16/18, it should include more HR-HPV types which were more prevalent in Chinese population.

Objective To analyze karyotype,genetic characteristics and clinical features of Turner syn-drome.Methods Cytogenetic analysis and genetic counseling were performed for patients with the diagnosis of Turner syndrome.Results Analyzed karyotype of forty-nine patients with Turner syndrome,there are five major categories such as simple type,numerical abnormality and chimeras,structural abnormality and chime-ras,both numerical abnormality and structural abnormality chimeras,contained the Y chromosome.Abnormal karyotypes were presented at eighteen species.Simple type was the most prevalent type of patients with Turn-er syndrome(43%).Conclusion Different karyotype exhibit some different phenotype.The clinical manifesta-tion of chimeras might depend on the proportion of abnormal karyotype,Case contained the Y chromosome would be hermaphrodismy mostly.Timely diagnosis of the disease would have positive significance to preven-tion and therapy.Hormonal therapy could improve patient's height and gonad development,the case contained the Y chromosome should pay attention to prevent gonadoblastoma.

OBJECTIVEThis study aimed at determining the influence of hydrofluoric acid (HF) in varied concentrations on the surface morphology of lithium disilicate glass ceramics and bond durability between resin composites and post-treated lithium disilicate glass ceramics.

METHODSAfter being sintered, ground, and washed, 72 as-prepared specimens of lithium disilicate glass ceramics with dimensions of 11 mm×13 mm×2 mm were randomly divided into three groups. Each group was treated with acid solution [32% phosphoric acid (PA) or 4% or 9.5% HF] for 20 s. Then, four acidified specimens from each group were randomly selected. One of the specimens was used to observe the surface morphology using scanning electron microscopy, and the others were used to observe the surface roughness using a surface roughness meter (including Ra, Rz, and Rmax). After treatment with different acid solutions in each group, 20 samples were further treated with silane coupling agent/resin adhesive/resin cement (Monobond S/Multilink Primer A&B/Multilink N), followed by bonding to a composite resin column (Filtek™ Z350) with a diameter of 3 mm. A total of 20 specimens in each group were randomly divided into two subgroups, which were used for measuring the microshear bond strength, with one of them subjected to cool-thermal cycle for 20 000 times.

RESULTSThe surface roughness (Ra, Rz, and Rmax) of lithium disilicate glass ceramics treated with 4% or 9.5% HF was significantly higher than that of the ceramic treated with PA (P<0.05). The lithium disilicate glass ceramics treated with 9.5% HF also demonstrated better surface roughness (Rz and Rmax) than that of the ceramics treated with 4% HF. Cool-thermal cycle treatment reduced the bond strength of lithium disilicate glass ceramics in all groups (P<0.05). After cool-thermal cycle, the lithium disilicate glass ceramics treated with HF had higher bond strength than that of the ceramics treated with PA. The lithium disilicate glass ceramics treated with 4% HF had higher bond strength than that of the ceramics treated with 9.5% HF (P<0.05). During cool-thermal cycle, the lithium disilicate glass ceramics treated with 4% HF demonstrated higher reduction in bond strength than that of the samples treated with 9.5% HF (P<0.05).

CONCLUSIONSThe concentration of HF significantly affected the surface morphology of lithium disilicate glass ceramics and the bond durability between resin composites and post-treated lithium disilicate glass ceramics. The bond strength between resin composites and post-treated lithium disilicate glass ceramic was more efficiently maintained by treatment with 9.5% HF.

Objective:To explore the expression and location of TLR5 and NLRC4 on different breast cancer cell lines MDA-MB-231,MCF-7 and MDA-MB-435 and TLR5 activation in breast cancer cell line by recombinant flagellin . Methods:The mRNA level of TLR5 and NLRC4 in MDA-MB-231, MCF-7 and MDA-MB-435 cell were detected with quantitative Real-time PCR and TLR5 expression and location in MDA-MB-231 and MCF-7 cell were detected with Flow cytometry. Induction,expression,purification and i-dentification of recombiant flagellin,including FliC (activating both TLR5 and NLRC4),FliC△90-97(unable to activate TLR5),FliC-L3A (unable to activate NLRC4),FliC△90-97:L3A (unable to activate both TLR5 and NLRC4). 1 μg/ml recombinant flagellin were used to stimulate MCF-7 cell lines,12 h later,the supernate were collected,and ELISA was performed to assess the secretion of IL-8. Results:The mRNA level of TLR5 in MCF-7 cell was 1 700 folds higher than that of MDA-MB-435. TLR5 was expressed in MCF-7 cell surface and ctyosol,while expressed only in cytosol in MDA-MB-231 cell. FliC and FliC-L3A,which were able to activate TLR5 pathway,stimualted MCF-7 cell line to secret IL-8,but FliC△90-97 and FliC△90-97:L3A did not. Conclusion:TLR5 and NLRC4 have been expressed in different breast cancer lines,but there exists difference on the expression level and location of TLR5. Expression level of TLR5 and NLRC4 in MCF-7 cell were higher than other breast cancer lines. TLR5 receptor which is expressed on the surface of breast cancer cell can be activated by flagellin,and these work also provide us experimental basis to further understand the impact of TLR5 activation on breast cancer cell proliferation.