Due to its high sensitivity and non-destructive nature, Raman spectroscopy has become an essential analytical tool in biopharmaceutical analysis and drug development. Despite of the computational demands, data requirements, or ethical considerations, artificial intelligence (AI) and particularly deep learning algorithms has further advanced Raman spectroscopy by enhancing data processing, feature extraction, and model optimization, which not only improves the accuracy and efficiency of Raman spectroscopy detection, but also greatly expands its range of application. AI-guided Raman spectroscopy has numerous applications in biomedicine, including characterizing drug structures, analyzing drug forms, controlling drug quality, identifying components, and studying drug-biomolecule interactions. AI-guided Raman spectroscopy has also revolutionized biomedical research and clinical diagnostics, particularly in disease early diagnosis and treatment optimization. Therefore, AI methods are crucial to advancing Raman spectroscopy in biopharmaceutical research and clinical diagnostics, offering new perspectives and tools for disease treatment and pharmaceutical process control. In summary, integrating AI and Raman spectroscopy in biomedicine has significantly improved analytical capabilities, offering innovative approaches for research and clinical applications.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among acute respiratory infection (ARI) cases in 16 provinces of China from 2009 to 2023.Methods:The data of this study were collected from the ARI surveillance data from 16 provinces in China from 2009 to 2023, with a total of 28 278 ARI cases included in the study. The clinical specimens from ARI cases were screened for HRSV nucleic acid from 2009 to 2023, and differences in virus detection rates among cases of different age groups, regions, and months were analyzed.Results:A total of 28 278 ARI cases were enrolled from January 2009 to September 2023. The age of the cases ranged from<1 month to 112 years, and the age M ( Q1, Q3) was 3 years (1 year, 9 years). Among them, 3 062 cases were positive for HRSV nucleic acid, with a total detection rate of 10.83%. From 2009 to 2019, the detection rate of HRSV was 9.33%, and the virus was mainly prevalent in winter and spring. During the Corona Virus Disease 2019 (COVID-19) pandemic, the detection rate of HRSV fluctuated between 6.32% and 18.67%. There was no traditional winter epidemic peak of HRSV from the end of 2022 to the beginning of 2023, and an anti-seasonal epidemic of HRSV occurred from April to May 2023. About 87.95% (2 693/3 062) of positive cases were children under 5 years old, and the difference in the detection rate of HRSV among different age groups was statistically significant ( P<0.001), showing a decreasing trend of HRSV detection rate with the increase of age ( P<0.001). Among them, the HRSV detection rate (25.69%) was highest in children under 6 months. Compared with 2009-2019, the ranking of HRSV detection rates in different age groups changed from high to low between 2020 and 2023, with the age M (Q1, Q3) of HRSV positive cases increasing from 1 year (6 months, 3 years) to 2 years (11 months, 3 years). Conclusion:Through 15 years of continuous HRSV surveillance analysis, children under 5 years old, especially infants under 6 months old, are the main high-risk population for HRSV infection. During the COVID-19 pandemic, the prevalence and patterns of HRSV in China have changed.

Objective:This paper summarized the practical experience in the construction of a scientific research platform in a large comprehensive hospital and discusses the innovative management model of the scientific research platform.Methods:This paper introduced the development history and construction status of a scientific research platform in a large comprehensive hospital, and analyzes the contradictions and difficulties existing in equipment sharing, resource allocation and other aspects during the development of the scientific research platform and its countermeasures.Results:Building a strong scientific research platform was of great significance to the hospital's discipline development, talent cultivation, and improvement of academic influence and core competitiveness. The hospital should continue to increase investment in the construction of scientific research platforms and strengthen system layout, cooperation, exchanges, and resource sharing.Conclusions:Large comprehensive hospitals need to build a highly open and efficient scientific research platform system to empower technological innovation.

Objective To investigate the interaction between serum uric acid(SUA)and islet β cell function,and its influence in the development of diabetic peripheral neuropathy(DPN)in patients with type 2 diabetes mellitus(T2DM).Methods A total of 122 patients with T2DM who visited General Medicine Department of our hospital from January 2019 to May 2023 were enrolled in this study and divided into two groups according to whether they had DPN:T2DM group(n=30)and DPN group(n=92).Patients in DPN group were further divided into three groups according to the severity of DPN:mild DPN group(L-DPN,n=30),moderate DPN group(M-DPN,n=36)and severe DPN group(H-DPN,n=26).The clinical data and biochemical indexes were compared and analyzed among the four groups.Logistic multivariate analysis was used to analyze the relationship between SUA and islet β cell secretory function and severe DPN.Multivariate logistic regression was used to analyze the risk factors for the severity of DPN.Stepwise regression method was used to screen the most important related factors for the severity of DPN,and a nomogram model was constructed and validated.The interaction between SUA and islet β cell function,and its influence in the development of DPN in T2DM patients were analyzed.Results Multivariate logistic regression analysis showed that age,SUA,aspartate aminotransferase,HDL-C,HbAlc,islet β cell secretion function(C2/C0)and insulin resistance index(HOMA-IR)were all independent influencing factors for the severity of DPN(P<0.05).The C indices of SUA,C2/C0,HOMA-IR,HbAlc and HDL-C prediction models were 0.776 and 0.769 on the training set and validation set respectively,which were most correlated with the aggravation of DPN degree.The area under the curve of the nomogram model for predicting the risk of DPN severity was 0.928(95%CI 0.856～0.986)and 0.917(95%CI 0.856～0.986)before and after validation respectively.The mean absolute error of the calibration curve was 0.013,which could be used as a risk tool to predict the risk of DPN aggravation.The results of interaction analysis showed that there were multiplicative and additive interactions between SUA and islet β cell secretion.Conclusions There is an interaction between SUA and islet β cell secretion function,which is a risk factor for the aggravation of DPN.The risk factors can be early warned according to the nomogram model,so as to carry out targeted prevention and treatment for T2DM patients.

Objective:To investigate the safety and efficacy of balloon pulmonary angioplasty (BPA) for residual pulmonary hypertension (PH) of chronic thromboembolic pulmonary hypertension(CTEPH) after pulmonary endarterectomy (PEA).Methods:Patients diagnosed as PH after PEA in China-Japan Friendship Hospital from Oct 2016 to Jun 2022 were included. The indication for BPA was decided on the basis of a consensus of the multi-disciplinary team for all patients with CTEPH. Before treatment, the patient′s exercise tolerance and pulmonary artery flow parameters were evaluated. A comparative analysis of various parameters before BPA treatment and at the last BPA was conducted. 6-min walk distance (6MWD) was analyzed using the paired Wilcoxon test; N-terminal pro-brain natriuretic peptide (NT-proBNP), mixed venous oxygen saturation, mean pulmonary arterial pressure (mPAP), cardiac index (CI) and pulmonary vascular resistance (PVR) were compared using the paired-samples t-test. WHO functional class was compared using McNemar′s test. Results:Twenty patients with a total of 130 vessels underwent 46 sessions of BPA treatment. The postoperative 6-minute walk distance (6MWD) [447 (415, 485) m] showed a significant improvement compared to the preoperative baseline [389 (335, 470) m] ( Z=6.52, P<0.05), Postoperative mixed venous oxygen saturation (72.0%±1.9%) showed a significant improvement compared to the preoperative levels (64.0%±2.7%) ( t=2.14, P<0.05).Postoperatively, plasma NT-proBNP [(351.9±129.9) pg/ml], mPAP [(24.2±1.9) mmHg], and PVR [(3.0±1.4) WU] significantly decreased compared to preoperative levels [(982.5±426.2) pg/ml, (33±2.1) mmHg, (8.0±1.6) WU)] ( t=3.38, 1.22, 2.10, P<0.05 for all). Postoperatively, there was a significant improvement in WHO functional class (Ⅰ，Ⅱ，Ⅲ，Ⅳ: 14, 4, 2, 0 cases) compared to preoperative status (Ⅰ，Ⅱ，Ⅲ，Ⅳ: 0, 13, 5, 2 cases) ( χ2=20.17, P<0.05). Four cases of pulmonary artery dissection and one episode of hemoptysis occurred postoperatively, with no other complications reported. Conclusions:BPA can significantly improve exercise tolerance and hemodynamic parameters for residual PH after PEA. BPA is a relatively safe and effective treatment for residual PH after PEA.

Objective:To investigate the effect of low-dose ketamine on neuroinflammation and microcirculation in mice with traumatic brain injury (TBI).Methods:Sixty adult male C57BL/6 mice, weighing 22-28 g, were randomly divided into sham-operated group, TBI group, Sham+ketamine group, and TBI+ketamine group ( n=15). A controlled cortical impingement (CCI) method was used to establish TBI models in the later 2 groups. Sham+ketamine group and TBI+ketamine group were intraperitoneally injected with 30 mg/kg ketamine once daily for 3 d at 30 min after TBI; sham-operated group and TBI group were intraperitoneally injected same amount of saline at the same time points. Cerebral cortical blood flow in 6 mice from each group was measured by laser speckle contrast imaging (LSCI) before, immediately after, 30 min after, 1 d after and 3 d after modeling, respectively. Three d after modeling, immunohistochemical staining and immunofluorescent double label staining were used to detect the nuclear translocation of microglia markers, ionized calcin-antibody-1 (Iba-1) and nuclear factor (NF)-κB p65 in damaged cortical brain tissues in 6 mice from each group. The remaining 3 mice in each group were sacrificed and tissue plasma was extracted 3 d after modeling; levels of NF-κB p65, phosphorylated (p)-NF-κB p65, p-IκB and inducible nitric oxide synthase (iNOS) in cortical brain tissues were detected by Western blotting. Expressions of tumor necrosis factor-α (TNF-α), interleukin-1-β (IL-1β) and interleukin-6 (IL-6), iNOS, reactive oxygen species (ROS) and reactive nitrogen species (RNS) in cortical brain tissues were detected by ELISA. Results:LSCI indicated that, 3 d after modeling, relative blood flow in local cerebral microcirculation of TBI+ketamine group was significantly increased compared with that of TBI group ( P<0.05). Immunohistochemical staining indicated that compared with the sham-operated group and Sham+ketamine group, the TBI group and TBI+ketamine group had significantly increased number of Iba-1 positive cells in the cerebral cortex ( P<0.05); compared with the TBI group, the TBI+ketamine group had significantly decreased number of Iba-1 positive cells ( P<0.05). ELISA indicated that compared with the sham-operated group and Sham+ketamine group, the TBI group and TBI+ketamine group had significantly increased expressions of TNF-α, IL-1β, IL-6, iNOS, ROS and RNS in damaged cortical brain tissues ( P<0.05); compared with the TBI group, the TBI+ ketamine group had significantly decreased expressions of TNF-α, IL-1β, IL-6, iNOS, ROS and RNS in damaged cortical brain tissues ( P<0.05). Immunofluorescent double label staining indicated obviously inhibited NF-κB p65 nuclear translocation in TBI+ketamine group when it was compared with TBI group. Western blotting indicated that compared with the sham-operated group and Sham+ketamine group, the TBI+ketamine group had significantly increased iNOS, NF-κB p65, p-NF-κB p65 and P-IκB protein expressions in damaged cortical brain tissues ( P<0.05); compared with the TBI group, the TBI+ketamine group had significantly decreased protein expressions of iNOS, NF-κB p65, p-NF-κB p65 and p-IκB in damaged cortical brain tissues ( P<0.05). Conclusion:Low-dose ketamine reduces neuroinflammation and improves cerebral microcirculatory blood flow after open TBI, whose mechanism may be related to inhibition of microglia NF-κB/iNOS pathway.

The significant increase in clinical diagnosis research of Parkinson′s disease (PD) using artificial intelligence technology not only reflects its potential application in the field of medical engineering, but also highlights its important value in improving diagnostic efficiency and accuracy of PD. This review aims to systematically elaborate the current research status of artificial intelligence in the clinical diagnosis of PD through comprehensive analysis of existing literature, and deeply explore its latest research progress and existing problems in tremor detection, facial expression recognition, speech recognition, gait analysis, and radiomics analysis, providing reference and suggestions for the future clinical practice.

Objective:To investigate the clinical characteristics of circadian rhythm disorder of blood pressure and its impact on orthostatic hypotension (OH) in Parkinson′s disease (PD).Methods:A total of 165 PD patients from Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from August 2019 to October 2021 were consecutively enrolled. Medical history and scores of motor and non-motor symptoms of patients were collected. Twenty-four-hour ambulatory blood pressure and OH data were collected, and the OH questionnaire was completed. The incidence of each type of circadian rhythm disorder of blood pressure was investigated. The t test, chi-square test and Mann-Whitney U test were used to determine between-group differences of circadian rhythm disorder of blood pressure. The linear trends in clinical characteristics were tested by linear regression analysis. Logistic regression analysis was used to analyze the relationship between different circadian rhythm disorders of blood pressure and OH as well as symptomatic OH (SOH). Results:In 165 PD patients, the incidence of reverse dipping pattern was 39.39% (65/165), nocturnal hypertension was 43.64% (72/165), and awakening hypotension was 31.52% (52/165). Compared with patients without reverse dipping pattern, patients with reverse dipping pattern were older [(71.72±7.81) years vs (65.29±9.68) years, t=-4.491, P<0.001], had later onset age [(66.67±9.10) years vs (62.16±10.66) years, t=-2.809, P=0.006], longer duration [36.00(20.50, 95.50) months vs 24.00(12.00, 41.75) months, Z=-3.393, P<0.001], higher dose of levodopa (LD) [(426.15±267.38) mg/d vs (284.00±235.58) mg/d, t=-3.590, P<0.001], higher levodopa equivalent dose (LED) [(514.80±360.03) mg/d vs (341.44±284.57) mg/d, t=-3.440, P=0.001], higher Unified Parkinson′s Disease Rating Scale (UPDRS)-Ⅱ scores (12.92±6.38 vs 9.54±5.59, t=-3.434, P=0.001), higher UPDRS-Ⅲ scores (28.34±11.60 vs 21.41±12.18, t=-3.508, P=0.001) and higher percentages of hallucinations [18.46% (12/65) vs 7.00% (7/100), χ2 =5.079, P=0.024]. Compared with patients without awakening hypotension, patients with awakening hypotension were older [(70.83±7.09) years vs (66.44±10.16) years, t=-2.811, P=0.006]. Compared with patients without nocturnal hypertension, patients with nocturnal hypertension had longer duration [39.50(15.00, 96.00) months vs 24.00 (12.00, 36.00) months, Z=-2.944, P=0.003], higher LD [(398.61±251.19) mg/d vs (294.62±254.25) mg/d, t=-2.619, P=0.010], higher LED [(493.28±344.02) mg/d vs (345.05±298.59) mg/d, t=-2.959, P=0.004], higher percentages of hallucinations [19.44% (14/72) vs 5.38% (5/93), χ2 =7.882, P=0.005], higher UPDRS-Ⅱ scores (12.08±6.33 vs 10.00±5.86, t=-2.086, P=0.039), higher UPDRS-Ⅲ scores (26.50±11.72 vs 22.42±12.66, t=-2.034, P=0.044), and greater blood pressure variability (BPV) (20.66±5.47 vs 17.44±5.36, t=-3.798, P<0.001). Trend analysis showed that the variety of circadian rhythm was positively correlated with age and duration, use of levodopa and monoamine oxidase B inhibitors and amantidine, morning and daily LD and LED, UPDRS-Ⅱ, UPDRS-Ⅲ and Hamilton Anxiety Scale scores, hallucinations, OH and SOH, and BPV in PD ( P<0.05). Multivariate Logistic regression analysis showed that awakening hypotension ( OR=3.35, 95% CI 1.55-7.22, P=0.002) and nocturnal hypertension ( OR=2.44, 95% CI 1.20-4.97, P=0.014) were risk factors for OH, and LED ( OR=1.21, 95% CI 1.01-1.43, P=0.035), UPDRS-Ⅲ scores ( OR=1.09, 95% CI 1.02-1.16, P=0.009) and w-BPV ( OR=1.14, 95% CI 1.01-1.29, P=0.029) were independent risk factors for SOH. Conclusions:Circadian rhythm disorder of blood pressure was correlated with age, duration, severity of motor symptoms. Awakening hypotension and nocturnal hypertension are independent risk factors for OH in PD.

Objective:To determine the evolution of gait impairment over the course of Parkinson′s disease (PD) by assessing the changes of gait characteristics in different disease stages, which could be helpful for disease monitoring.Methods:A total of 276 PD patients [PD group, Hoehn-Yahr (H-Y) stage 1-3] and 63 healthy controls (control group) enrolled in Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from January 2019 to September 2021 were included in this cross-sectional study. The gait spatiotemporal variables were recorded by a portable inertial measurement unit system. Exploratory factor analysis was performed to obtain gait domains representing different gait characteristics. One way analysis of variance was used to evaluate the differences of gait variables and gait domains among the control group and 3 different H-Y stages of the PD group, as well as the differences among the control group and 2 motor subtypes of PD in different stages. The sensitivity of different gait variables and gait domains in evaluating the severity of gait impairments at different disease stages was compared.Results:Eleven gait spatiotemporal variables were grouped in 4 gait domains: pace (step length, gait speed and stride length), rhythm/phase (cadence, stride time and double support time), pace-related variability/asymmetry [step length coefficient of variation (CV), gait speed CV and step length asymmetry] and rhythm/phase-related variability/asymmetry (swing time CV and swing time asymmetry). As the disease progresses, most evolution trends of the 4 gait domains in the tremor-dominant PD patients were consistent with those in the non-tremor-dominant subtype. Compared with the control group, PD patients at H-Y stage 1 began to show the mild impairment of rhythm/phase-related variability/asymmetry (effect size 0.42; standardized score -0.03±0.69 vs -0.33±0.49, P<0.05), especially swing time asymmetry in tremor-dominant patients; the pace domain was damaged moderately in PD patients at H-Y stage 2 (effect size 0.64; standardized score 0.12±0.80 vs 0.64±0.81, P<0.05), especially in non-tremor-dominant PD patients, but not in PD patients at H-Y stage 1 ( P>0.05). Pace-related variability/asymmetry showed great impairment in PD patients at H-Y stage 3 (effect size 0.62; standardized score 0.27±1.12 vs -0.27±0.52, P<0.05), but not in PD patients at H-Y stages 1 and 2 ( P>0.05). Conclusions:The characteristic impairments of gait in PD evolve in the process of disease progression. The rhythm/phase-related variability/asymmetry domain may be a marker to distinguish early PD from healthy controls. The pace domain and the pace-related variability/asymmetry domain are important markers to evaluate the progression of PD.