The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To design lower limb motor detection system based on the computer vision and human key point detection neural network model to realize non-contact measurement of the lower limb motor.Methods Firstly,a motion data acquisition platform was built to acquire the lower limb motor images,and to extract the 2D image coordinates of the key points of the lower limb in each frame based on the OpenPose neural network model.Secondly,the spatial coordinates of the key points were determined based on the computer vision algorithm with the position information of the visual sensors in the motion data acquisition platform,so as to analyze the lower limb motor in three-dimensional space.Finally,the data compu-tation of the system in case of different motion speeds was discussed with cycling as an example and the motion data simulta-neously collected by the motion capture system as references.Results The Pearson's correlation coefficients of the data computed by the system and the data obtained by the motion capture system were 0.950,0.917,and 0.828 at cycling speeds of 0.8,1.3,and 2.1 m/s,respectively,which were all within the strong correlation range.Conclusion The system developed indicates the lower limb motor,and thus can be used for the lower limb motion detection.[Chinese Medical Equipment Journal,2024,45(2):22-27]

The overdiagnosis of prostate cancer (PCa) caused by nonspecific elevation serum prostate-specific antigen (PSA) and the overtreatment of indolent PCa have become a global problem that needs to be solved urgently. We aimed to construct a prediction model and provide a risk stratification system to reduce unnecessary biopsies. In this retrospective study, clinical data of 1807 patients from three Chinese hospitals were used. The final model was built using stepwise logistic regression analysis. The apparent performance of the model was assessed by receiver operating characteristic curves, calibration plots, and decision curve analysis. Finally, a risk stratification system of clinically significant prostate cancer (csPCa) was created, and diagnosis-free survival analyses were performed. Following multivariable screening and evaluation of the diagnostic performances, a final diagnostic model comprised of the PSA density and Prostate Imaging-Reporting and Data System (PI-RADS) score was established. Model validation in the development cohort and two external cohorts showed excellent discrimination and calibration. Finally, we created a risk stratification system using risk thresholds of 0.05 and 0.60 as the cut-off values. The follow-up results indicated that the diagnosis-free survival rate for csPCa at 12 months and 24 months postoperatively was 99.7% and 99.4%, respectively, for patients with a risk threshold below 0.05 after the initial negative prostate biopsy, which was significantly better than patients with higher risk. Our diagnostic model and risk stratification system can achieve a personalized risk calculation of csPCa. It provides a standardized tool for Chinese patients and physicians when considering the necessity of prostate biopsy.

Objective To evaluate the effectiveness,safety and operability of different types of pre-hospital topical hemostatic dressings given the limited clinical evidence of pre-hospital topical hemostatic dressings so as to provide reference for the subsequent establishment of a comprehensive index system.Methods A systematic review method was used to sift through and summarize the evaluation indexes of zeolite,kaolin and chitosan.Results Fifteen studies were included,only one of which was randomized controlled trial(RCT)study,and the rest were descriptive studies,involving military and civilian subjects.All the three types of hemostatic dressings in the included studies had good haemostatic effects,but the amount of data was too limited to compare the haemostatic effects between different types.Except for zeolite wounds that were likely to be burned by exothermic heat,the other types caused few adverse reactions but with unclear operability.There was no data on stability and economy in the selected literature.Conclusion Considering the ideal hemostatic agent and the standard requirements of Chinese expert consensus,it is recommended that the indicators in follow-up studies include efficacy,safety,operability,stability and economy,and that preclinical animal studies be included to supplement related indicators.

Krüppel-like transcription factor 2 (KLF2) plays a key regulatory role in endothelial inflammation, thrombosis, angiogenesis and macrophage inflammation and polarization, and up-regulation of KLF2 expression has the potential to prevent and treatment atherosclerosis. In this study, trichostatin C (TSC) was obtained from the secondary metabolites of rice fermentation of Streptomyces sp. CPCC 203909 as a KLF2 up-regulator by using a high throughput screening model based on a KLF2 promoter luciferase reporter assay. TSC significantly inhibited the adhesion of tumor necrosis factor-α (TNFα) induced monocytes (THP-1) to human umbilical vein endothelial cells (HUVECs). Western blot results showed that TSC decreased TNFα induced the protein expression increase of vascular cell adhesion molecule-1 (VCAM-1), and thereby inhibited endothelial inflammation. The results of histone deacetylase (HDAC) overexpression and molecular docking experiments showed that TSC upregulated the expression of KLF2 by inhibiting subtypes of HDAC 4/5/7. In conclusion, this study suggests that TSC up-regulates the expression of KLF2 through inhibiting HDAC 4/5/7 and thus inhibits TNFα induced endothelial inflammation, and it has the potential to prevent and treat atherosclerosis.

Objective: To examine the short-term curative effect with minimally invasive right infra-axillary thoracotomy for transaortic modified Morrow procedure. Methods: The clinical data of 60 patients who underwent video-assisted thoracoscopic transaortic modified Morrow procedure from August 2021 to August 2022 at Department of Cardiovascular Surgery, Zhejiang Provincial People's Hospital were retrospectively analyzed. There were 31 males and 29 females, with the age (M (IQR)) of 54.0(22.3) years (range: 15 to 71 years). The echocardiography confirmed the diagnosis of moderate mitral regurgitation in 30 patients, and severe mitral regurgitation in 13 patients. Systolic anterior motion (SAM) was present preoperatively in 54 patients. All 60 patients underwent transaortic modified Morrow procedure through a right infra-axillary thoracotomy using femorofemoral cardiopulmonary bypass. Surgical procedures mainly included transverse aortic incision, exposure of left ventricular outflow tract (LVOT), septal myectomy, and correction of the abnormal mitral valve and subvalvular structures. Results: All 60 patients underwent the programmatic procedures successfully without conversion to full sternotomy. The cardiopulmonary bypass time was (142.0±32.1) minutes (range: 89 to 240 minutes), while the cross-clamp time was (95.0±23.5) minutes (range: 50 to 162 minutes). The patients had a postoperative peak LVOT gradient of 7.0 (5.0) mmHg (range: 0 to 38 mmHg) (1 mmHg=0.133 kPa). A total of 57 patients were extubated on the operating table. The drainage volume in the first 24 h was (175.9±57.0) ml (range: 60 to 327 ml). The length of intensive care unit stay was 21.0 (5.8)h (range: 8 to 120 h) and postoperative hospital stay was 8 (5) days (range: 5 to 19 days). The postoperative septal thickness was 11 (2) mm (range: 8 to 14 mm). All patients had no iatrogenic ventricular septal perforation or postoperative residual SAM. The patients were followed up for 4 (9) months (range: 1 to 15 months), and none of them needed cardiac surgery again due to valve dysfunction or increased peak LVOT gradient during follow-up. Conclusion: Using a video-assisted thoracoscopic transaortic modified Morrow procedure through a right infra-axillary minithoracotomy can provide good visualization of the LVOT and hypertrophic ventricular septum, ensure optimal exposure of the mitral valve in the presence of complex mitral subvalvular structures, so that allows satisfactory short-term surgical results.
Male ; Female ; Humans ; Mitral Valve Insufficiency/surgery* ; Thoracotomy ; Retrospective Studies ; Cardiomyopathy, Hypertrophic/surgery* ; Ventricular Septum/surgery* ; Treatment Outcome ; Minimally Invasive Surgical Procedures/methods*

Objective To perform a visual bibliometric analysis of hot spots as well as areas of Brucella disease research by searching brucellosis related literature. Methods A thematic search was conducted in the web of science core set database using Brucella disease or brucellosis as keywords to retrieve literature between January 1985 and December 2021. CiteSpace was used to visualize the countries, institutions, authors, and keywords in the retrieved relevant literatures. Results A total of 4 495 eligible articles studies were included, with the United States being the most populous country and the University of Sao Paulo being the most influential. Jilin University and Shihezi University in Xinjiang, China were relatively influential in this field. For the key words analysis, the top 3 of high-frequency words were infection, diagnosis, abortion, and in the 12 clusters formed, the clusters formed by #1, #4 were larger and the research hotspot continued. Keywords in the last five years including human brucellosis, immunity, zoonotic disease, were highlighted. Conclusion Study analysis suggested that human brucellosis with zoonosis was a research hotspot, more scholars focused on the infectious route and other exposure risks of cattle as intermediate hosts, epidemiological studies on brucellosis or will be new trends.

The Myh3 (myosin heavy chain 3) gene is a marker gene of muscle cell differentiation and regulates the utilization of energy in muscle cells, but whether it affects the glycolysis process of muscle cells in different states is rarely reported. In this paper, the expression patterns of Myh3 and glycolysis-related genes Pkm (M-type pyruvate kinse), Prkag3 (protein kinase adenosine monophosphate-activated γ3-subunit), and Gsk3β (glycogen synthase kinase-3β) were studied by the qRT-PCR (quantitative-Real-Time-PCR) method using C2C12 cells at different stages of myoblast and adipogenic differentiation as models. It was found that in the process of myoblast differentiation of C2C12 cells, the relative expression trends of Myh3 and glycolysis genes Prkag3 and Pkm were basically the same, and the relative expression levels first increased, reached the peak on the second day of differentiation, and then decreased; glycogen synthase the expression trend of the inhibitory gene Gsk3β was relatively stable. In the process of adipogenic differentiation of C2C12 cells, the relative expression trend of Myh3 and glycolysis genes Prkag3 and Pkm remained basically the same, and the relative expression gradually increased, reaching the highest value on the 8th day of differentiation; glycogen synthase inhibitory gene Gsk3β expression remained stable. In the myogenic differentiation state of C2C12 cells, qRT-PCR and Western blotting were used to detect the effects of interfering Myh3 on the mRNA and protein expressions of glycolysis-related genes Pkm, Prkag3, and Gsk3β. The results showed that after interfering with Myh3, the mRNA expressions of glycolysis genes Pkm and Prkag3 were significantly decreased (P<0.01), while the mRNA expression of glycogen synthase inhibitory gene Gsk3β had no significant change (P > 0.05). The protein levels of Myh3 and Pkm were significantly lower than those in the blank group and NC group. Under the adipogenic differentiation state of C2C12 cells, after interfering with Myh3, the mRNA levels of glycogen synthase inhibitor Gsk3β and glycolysis gene Prkag3 were significantly increased (P<0.01), and the mRNA level of glycolysis gene Pkm was decreased; the protein levels of Myh3 and Pkm in the Myh3 interference group were also lower than those in the blank group and NC group. Based on the above studies, there are significant differences in the levels of glycolysis in C2C12 cells in the myogenic and adipogenic states, and the expression patterns of Myh3 and glycolysis genes are similar. Further results showed that Myh3 suppression could inhibit the glycolysis of C2C12 cells in the myogenic state without affecting the glycogen synthesis. Unlike in the myogenic state, interfering expression of Myh3 in the adipogenic state of C2C12 cells inhibited both glycogen synthesis and glycolysis.