Parkinson’s disease (PD) is a common neurodegenerative disorder with profound impact on patients’ quality of life and long-term health, and early detection and intervention are particularly critical. In recent years, the search for precise and reliable biomarkers has become one of the key strategies to effectively address the clinical challenges of PD. In this paper, we systematically evaluated potential biomarkers, including proteins, metabolites, epigenetic markers, and exosomes, in the peripheral blood of PD patients. Protein markers are one of the main directions of biomarker research in PD. In particular, α‑synuclein and its phosphorylated form play a key role in the pathological process of PD. It has been shown that aggregation of α-synuclein may be associated with pathologic protein deposition in PD and may be a potential marker for early diagnosis of PD. In terms of metabolites, uric acid, as a metabolite, plays an important role in oxidative stress and neuroprotection in PD. It has been found that changes in uric acid levels may be associated with the onset and progression of PD, showing its potential as an early diagnostic marker. Epigenetic markers, such as DNA methylation modifications and miRNAs, have also attracted much attention in Parkinson’s disease research. Changes in these markers may affect the expression of PD-related genes and have an important impact on the onset and progression of the disease, providing new research perspectives for the early diagnosis of PD. In addition, exosomes, as a potential biomarker carrier for PD, are able to carry a variety of biomolecules involved in intercellular communication and pathological regulation. Studies have shown that exosomes may play an important role in the pathogenesis of PD, and their detection in blood may provide a new breakthrough for early diagnosis. It has been shown that exosomes may play an important role in the pathogenesis of PD, and their detection in blood may provide new breakthroughs in early diagnosis. In summary, through in-depth evaluation of biomarkers in the peripheral blood of PD patients, this paper demonstrates the important potential of these markers in the early diagnosis of PD and in the study of pathological mechanisms. Future studies will continue to explore the clinical application value of these biomarkers to promote the early detection of PD and individualized treatment strategies.

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

Objective:To understand the prevalence and related factors of three common chronic diseases, hyperlipidemia, hypertension and diabetes in HIV-infected persons.Methods:As of December 2023, HIV-infected persons >15 years old who are receiving antiviral therapy (ART) and follow-up in Henan Province were selected as the study objects. Questionnaires, physical examinations, and blood samples were collected to collect demographic information, ART, body weight, blood lipids, blood pressure, and blood sugar of HIV-infected persons. The logistic regression model was used to analyze the related factors of hyperlipidemia, hypertension and diabetes.Results:Among 4 023 HIV-infected patients, the prevalence rates of hyperlipidemia, hypertension, and diabetes were 64.47% (2 594/4 023), 16.80% (676/4 023), and 10.54% (424/4 023), respectively. Multivariate analysis showed that hyperlipidemia was positively associated with ≥40 years of age, overweight and obesity, two nucleoside reverse transcriptase inhibitors (NRTIs) + proteasome inhibitors (PIs) regimen and two NRTIs+ integrase inhibitor regimen, and negatively associated with low body weight. Hypertension was positively correlated with the age group ≥40 years old, family history of cardiovascular and cerebrovascular diseases, overweight and obesity, ART time ≥0.5 years, and negatively correlated with low body weight. Diabetes was positively associated with age group ≥40 years, family history of cardiovascular and cerebrovascular disease, overweight and obesity, and negatively associated with the use of two NRTIs+PIs treatment regimens.Conclusions:In 2023, the prevalence of hyperlipidemia, hypertension, and diabetes among HIV-infected people in Henan Province was relatively high, and the risk of common chronic diseases among those ≥40 years old, overweight and obese, and those with a family history of cardiovascular and cerebrovascular diseases was also relatively high. It is recommended to strengthen the prevention and management of common chronic diseases among HIV-infected people.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Objective:To understand the prevalence and related factors of three common chronic diseases, hyperlipidemia, hypertension and diabetes in HIV-infected persons.Methods:As of December 2023, HIV-infected persons >15 years old who are receiving antiviral therapy (ART) and follow-up in Henan Province were selected as the study objects. Questionnaires, physical examinations, and blood samples were collected to collect demographic information, ART, body weight, blood lipids, blood pressure, and blood sugar of HIV-infected persons. The logistic regression model was used to analyze the related factors of hyperlipidemia, hypertension and diabetes.Results:Among 4 023 HIV-infected patients, the prevalence rates of hyperlipidemia, hypertension, and diabetes were 64.47% (2 594/4 023), 16.80% (676/4 023), and 10.54% (424/4 023), respectively. Multivariate analysis showed that hyperlipidemia was positively associated with ≥40 years of age, overweight and obesity, two nucleoside reverse transcriptase inhibitors (NRTIs) + proteasome inhibitors (PIs) regimen and two NRTIs+ integrase inhibitor regimen, and negatively associated with low body weight. Hypertension was positively correlated with the age group ≥40 years old, family history of cardiovascular and cerebrovascular diseases, overweight and obesity, ART time ≥0.5 years, and negatively correlated with low body weight. Diabetes was positively associated with age group ≥40 years, family history of cardiovascular and cerebrovascular disease, overweight and obesity, and negatively associated with the use of two NRTIs+PIs treatment regimens.Conclusions:In 2023, the prevalence of hyperlipidemia, hypertension, and diabetes among HIV-infected people in Henan Province was relatively high, and the risk of common chronic diseases among those ≥40 years old, overweight and obese, and those with a family history of cardiovascular and cerebrovascular diseases was also relatively high. It is recommended to strengthen the prevention and management of common chronic diseases among HIV-infected people.

The integration of medical treatment and disease prevention(hereinafter referred to as"med-prevent integra-tion")constitutes a vital strategy for achieving universal health objectives.Party-building initiatives in university-affiliated hospi-tals present a novel approach to enhance this integration at the primary care level.This study identifies three major challenges in current practice,including insufficient conceptual integration between medical and preventive services,inadequate cross-depart-mental coordination and resource allocation,and imperfect accountability mechanisms within Party-building frameworks.From the perspective of integrated governance,we propose a comprehensive pathway where party-building facilitates the systematic conver-gence of ideological orientation,organizational structure,cultural values,and institutional mechanisms.These findings provide both theoretical framework and practical guidance for university-affiliated hospitals to deepen primary-level med-prevent integration through Party-building initiatives.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective To explore an experimental protocol for differentiating human-induced pluripotent stem cells(iPSCs)into highly pure midbrain dopaminergic(DA)neurons.Methods By optimizing a blend of small molecules and recombinant human growth factors,iPSCs were induced to differentiate into ventral midbrain floor plate DA progenitor cells and subsequently into mature substantia nigra pars compacta DA neurons.Throughout the differentiation process,Real-time PCR and immunofluorescent staining were utilized as a method for quality assessment.Results iPSCs firstly differentiate into dopaminergic precursor cells,and then gradually differentiate into DA neurons expressing tyrosine hydroxylase(TH).Conclusion The protocol successfully yields approximately high purity tyrosine hydroxylase-positive(TH+)DA neurons.This differentiation technique offers an effective cellular model for studying the physiological mechanisms and pathogenesis of Parkinson's disease,providing valuable insights for future research and potential therapeutic strategies.

Objective To explore the impact of the clinical internship model at the on-campus rehabilitation outpatient clinic on the clinical practice abilities and employment intentions of students in the physical therapy program.Methods A total of 60 students from the 2020 cohort of the Rehabilitation Physical Therapy program at Kunming Medical University were selected as research subjects.In the first semester of their sophomore year,they were randomly divided into two groups:the three-phase clinical internship group at the on-campus rehabilitation outpatient clinic(n=30)and the conventional clinical internship group(n=30).The three-phase clinical internship group completed their clinical internship in three phases according to the training objectives at the on-campus rehabilitation outpatient clinic,while the conventional clinical internship group completed their internship according to the requirements of the internship syllabus.At the end of all clinical internships,assessments were conducted using a comprehensive theoretical examination of core professional courses,the Assessment of Physiotherapy Practice(APP),and an employment intention survey to evaluate the outcomes of the internships for both groups.Results After completing all internship tasks,there was no statistically significant difference in the scores of the comprehensive theoretical examination of core professional courses between the two groups(P>0.05).Similarly,there was no statistically significant difference in the total scores of the physiotherapy clinical practice assessment between the two groups(P>0.05).However,in the detailed assessments,the three-phase internship group outperformed the conventional group in professional behavior,communication,and evaluation(P<0.05).There were no statistically significant differences between the two groups in analysis and planning,intervention,evidence-based practice,and risk management(P>0.05).In the employment intention survey,70%of students in the three-phase internship group expressed a willingness to work in rehabilitation outpatient clinics or clinics,while only 46.6%of the conventional group did so.The comparison of employment intentions between the two groups showed a statistically significant difference(P<0.05).Conclusion The three-phase apprenticeship model of the on-campus rehabilitation clinic not only improves students'clinical practice ability,but also increases their confidence in seeking employment in the rehabilitation clinic,thus broadening the employment pathway for physiotherapy students.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence