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.

This study employed the "disease-medicine-dose" pattern to mine the medication rules of traditional Chinese medicine(TCM) prescriptions containing Astragali Radix in ancient Chinese medical books, aiming to provide a scientific basis for the clinical application of Astragali Radix and the development of new medicines. The TCM prescriptions containing Astragali Radix were retrieved from databases such as Chinese Medical Dictionary and imported into Excel 2020 to construct the prescription library. Statical analysis were performed for the prescriptions regarding the indications, syndromes, medicine use frequency, herb effects, nature and taste, meridian tropism, dosage forms, and dose. SPSS statistics 26.0 and IBM SPSS Modeler 18.0 were used for association rules analysis and cluster analysis. A total of 2 297 prescriptions containing Astragali Radix were collected, involving 233 indications, among which sore and ulcer, consumptive disease, sweating disorder, and apoplexy had high frequency(>25), and their syndromes were mainly Qi and blood deficiency, Qi and blood deficiency, Yin and Yang deficiency, and Qi deficiency and collateral obstruction, respectively. In the prescriptions, 98 medicines were used with the frequency >25 and they mainly included Qi-tonifying medicines and blood-tonifying medicines. Glycyrrhizae Radix et Rhizoma, Angelicae Sinensis Radix, Ginseng Radix et Rhizoma, Atractylodis Macrocephalae Rhizoma, and Citri Reticulatae Pericarpium were frequently used. The medicines with high frequency mainly have warm or cold nature, and sweet, pungent, or bitter taste, with tropism to spleen, lung, heart, liver, and kidney meridians. In the treatment of sore and ulcer, Astragali Radix was mainly used with the dose of 3.73 g and combined with Glycyrrhizae Radix et Rhizoma to promote granulation and heal up sores. In the treatment of consumptive disease, Astragali Radix was mainly used with the dose of 37.30 g and combined with Ginseng Radix et Rhizoma to tonify deficiency and replenish Qi. In the treatment of sweating disorder, Astragali Radix was mainly used with the dose of 3.73 g and combined with Glycyrrhizae Radix et Rhizoma to consolidate exterior and stop sweating. In the treatment of apoplexy, Astragali Radix was mainly used with the dose of 7.46 g and combined with Glycyrrhizae Radix et Rhizoma to dispell wind and stop convulsions. Astragali Radix can be used in the treatment of multiple system diseases, with the effects of tonifying Qi and ascending Yang, consolidating exterior and stopping sweating, and expressing toxin and promoting granulation. According to the manifestations of different diseases, when combined with other medicines, Astragali Radix was endowed with the effects of promoting granulation and healing up sores, tonifying deficiency and Qi, consolidating exterior and stopping sweating, and dispelling wind and replenishing Qi. The findings provide a theoretical reference and a scientific basis for the clinical application of Astragali Radix and the development of new medicines.
Drugs, Chinese Herbal/history* ; Humans ; Medicine, Chinese Traditional/history* ; History, Ancient ; Astragalus Plant/chemistry* ; China ; Astragalus propinquus

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

OBJECTIVE: To assess health equity in the Yangtze River region to improve understanding of the correlation between hand, foot, and mouth disease (HFMD) and socioeconomic factors. METHODS: From 2014-2016, data on HFMD incidence, population statistics, economic indicators, and meteorology from 26 cities along the Yangtze River were analyzed. A multi-city random-effects meta-analysis was performed to study the relationship between temperature and HFMD transmission, and health equity was assessed with respect to socio-economic impact. RESULTS: Over the study period, 919,458 HFMD cases were reported, with Shanghai (162,303) having the highest incidence and Tongling (5,513) having the lowest. Males were more commonly affected (male-to-female ratio, 1.49:1). The exposure-response relationship had an M-shaped curve, with two HFMD peaks occurring at 4 °C and 26 °C. The relative risk had two peaks at 1.30 °C (1.834, 95% CI: 1.204-2.794) and 31.4 °C (1.143, 95% CI: 0.901-1.451), forming an M shape, with the first peak higher than the second. The most significant impact of temperature on HFMD was observed between -2 °C and 18.1 °C. The concentration index (0.2463) indicated moderate concentration differences, whereas the Theil index (0.0418) showed low inequality in distribution. CONCLUSION The incidence of HFMD varied across cities, particularly with changes in temperature. Economically prosperous areas showed higher risks, indicating disparities. Targeted interventions in these areas are crucial for mitigating the risk of HFMD.
Female ; Humans ; Male ; China/epidemiology* ; Cities/epidemiology* ; Hand, Foot and Mouth Disease/transmission* ; Incidence ; Risk Factors ; Temperature

Lentiviral vectors(LVs)are key gene delivery tools for integrating target genes into the host genome,but they may also pose risks of insertional mutagenesis.The vector copy number(VCN)in cells is critical for determining the safety of gene modification.However,the reliability and accuracy of its quantification process are influenced by multiple factors.Developing cell reference materials with specific vector copy numbers represents a viable approach to enhance the reliability and consistency of measurement results,enabling quality control of the quantification process and traceability of outcomes.However,the preparation of such reference materials faces challenges in cell sample design,preparation protocols,and advanced quantification techniques.In this study,T lymphocyte cell line Jurkat-based reference materials with LV gene copy numbers of 1 and 2 copy/cell were developed.A high-precision duplex digital polymerase chain reaction(dPCR)method was established to quantify the LV gene and endogenous genes simultaneously.Additionally,the results of dPCR were cross-validated through next-generation sequencing and flow cytometric analysis.Ultimately,confocal microscopy characterization results showed that the developed cell reference materials had intact morphology.The quantification result of VCN-1 was(1.07±0.11)copy/cell,and that of VCN-2 was(2.09±0.21)copy/cell.These cell reference materials demonstrated compliance with stability and homogeneity requirements,and could be applied for quality control throughout the VCN measurement workflow and metrological traceability,improving the accuracy,comparability,and validity of copy number measurements.

Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

Objective:To explore the latent profiles of cognitive function in older adults with mild cognitive impairment(MCI)and to analyze the influencing factors, as well as to develop targeted interventions.Methods:The data for this study were obtained from a cross-sectional study conducted from May to December 2023.Peterson's criteria and the Chinese guidelines for the diagnosis and treatment of dementia and cognitive impairment(V)were employed to screen for MCI among 1, 650 elderly individuals aged 60 and above in a specific community.The Montreal Cognitive Assessment Scale(MoCA)and the Centre for Epidemiological Studies Depression Scale(CES-D)were utilized to assess cognitive ability and depression levels, respectively.Serum vitamin D3 levels were measured using mass spectrometry.Potential profile models of cognitive function in MCI patients were analyzed using Mplus 8.3, and the influencing factors of the latent profiles were identified through multivariate logistic regression.Results:A total of 327 older adults with MCI were initially screened, revealing a prevalence rate of 19.82%.Out of these, 295 patients were ultimately included in the study.The cognitive impairment of these participants was categorized into three profiles: the mild low-cognitive group(49.15%), the mild low-cognitive with severely low-abstraction group(41.70%), and the severely low-cognitive group(9.15%).Logistic regression analysis identified several independent predictors for the severely low-cognitive group among older adults with MCI: education level(primary and below compared to high school and above: OR=7.343, P<0.001; junior high compared to high school and above: OR=1.689, P=0.004), depression level( OR=1.120, P=0.002), and napping habits(with napping habits compared to without: OR=0.255, P=0.006).Additionally, education level( OR=3.535, P<0.001), depression level( OR=1.125, P<0.001), and serum vitamin D3 levels( OR=0.811, P=0.035)were found to be independent predictors for the mild low-cognitive with severely low-abstraction group in older adults with MCI. Conclusions:Cognitive impairment in older adults with MCI exhibits heterogeneity, which can be categorized into three potential profiles.Targeted interventions should be implemented based on the characteristics and influencing factors of each category to mitigate cognitive decline among older adults with MCI.

Objective To investigate the clinical application value of the combined detection of fecal syndecan 2(SDC2)and tissue factor pathway inhibitor 2(TFPI2)gene methylation in the diagnosis of colorectal cancer and advanced adenoma.Methods 124 pa-tients with colorectal lesions,including 43 colorectal cancer,52 advanced adenoma,and 29 non-advanced adenoma,and 46 patients with other gastrointestinal diseases such as colorectal inflammatory diseases,ulcers,etc.,who visited 5 hospitals in Zhengzhou from 2020 to 2023 were enrolled as the disease group.In addition,78 healthy individuals who underwent physical examinations in the same period were selected as the healthy control group.Their fecal samples were collected before undergoing colonoscopy,and the methyla-tion levels of SDC2 and TFPI2 genes were detected using the quantitative methylation-specific PCR(qMSP).Results The positive rates of the combined detection of SDC2 and TFPI2 gene methylation in the colorectal cancer group and advanced adenoma group(95.34％and 88.46％)were significantly higher than those in the non-advanced adenoma group(48.27％,x2=18.75/13.63,P＜0.05)and healthy controls(3.84％,x2=96.38/91.54,P＜0.05).In the colorectal cancer group,the postoperative positive rate of the combined detection in 34 patients with positive methylation of SDC2 and TFPI2(5.88％)was significantly lower than the preoperative positive rate(95.34％,x2=54.74,P＜0.05).Moreover,the mean Ct values of methylation of SDC2 and TFPI2 genes(32.38±3.72 and 31.85±3.21)in the colorectal cancer group were significantly lower than that in the advanced adenoma group(35.07±3.09 and 34.96±2.78,t=3.84 and 5.05,P＜0.05).The analysis results of the ROC curve showed that the sensitivities of SDC2,TFPI2,and their combination detection in the diagnosis of colorectal cancer were 86.40％,88.37％,and 89.35％,respectively,while in differenti-ating advanced adenoma they were 73.52％,66.73％,and 80.15％,respectively.The combined detection of SDC2 and TFPI2 in differ-entiating colorectal cancer and advanced adenoma achieved the highest diagnostic efficacy(AUCROC=0.889 and 0.738,respectively).Conclusion The combined detection of methylation of SDC2 and TFPI2 genes in fecal samples has high diagnostic value for colorectal cancer and advanced adenomas,and also has certain clinical application value for the progression and postoperative monitoring of the disease.

OBJECTIVE: To explore the effectiveness of posterior single-level osteotomy with 360° release and correction for the treatment of osteoporotic vertebral compression fractures (OVCF) complicated with moderate to severe kyphosis. METHODS: A retrospective analysis was conducted on 11 patients with OVCF complicated with moderate to severe kyphosis between January 2022 and March 2023. There were 4 males and 7 females with an average age of 57 years ranging from 47 to 69 years. The disease duration ranged from 3 to 15 months, with an average of 7 months. Fracture segments included T ₁₁ in 3 cases, T ₁₂ in 5, L ₁ in 2, and L ₂ in 1. The T value of lumbar spine bone density was -5.0 to -2.0, with an average of -3.5. The preoperative neurological function was grade E according to Frankel grading. The Pfirrmann classification of the intervertebral disc above the injured vertebra was grade Ⅲ in 8 cases and grade Ⅳ in 3 cases. All patients underwent posterior single-level osteotomy with 360° release and correction. The operation time, intraoperative blood loss, hospital stay, and postoperative complications were recorded. Thoracolumbar local kyphosis Cobb angle, the mean height of the functional spinal unit (FSU), the sagittal vertical axis (SVA), and the sagittal index (SI) were measured. The visual analogue scale (VAS) score and Oswestry disability index (ODI) were used to evaluate the improvement of pain and function before operation, at 1 month after operation, and at last follow-up. RESULTS: The operation successfully completed in all patients, and there was no obvious complication. The operation time ranged from 100 to 190 minutes, with an average of 153 minutes, and the intraoperative blood loss ranged from 200 to 800 mL, with an average of 468 mL. The length of hospital stay was 8-14 days (mean, 12 days). All patients were followed up 6-24 months, with an average of 12.4 months. At last follow-up, all the 11 patients had bony fusion in the osteotomy area, and there was no displacement or subsidence of the Cage, no complication such as internal fixation failure or pseudarthrosis formation was found. The Cobb angle of local thoracolumbar kyphosis, the mean height of FSU, SVA, and SI significantly improved immediately after operation and at last follow-up when compared with preoperative ones, and the VAS score and ODI also significantly improved at 1 month after operation and at last follow-up ( P<0.05); there was no significant difference in above indexes between the two time points after operation ( P>0.05). CONCLUSION Posterior single-level osteotomy with 360° release and correction is an effective surgical method for treating OVCF complicated with moderate to severe kyphosis, with definite early effectiveness.
Humans ; Kyphosis/etiology* ; Male ; Female ; Osteotomy/methods* ; Middle Aged ; Retrospective Studies ; Aged ; Spinal Fractures/diagnostic imaging* ; Fractures, Compression/diagnostic imaging* ; Osteoporotic Fractures/complications* ; Treatment Outcome ; Lumbar Vertebrae/injuries* ; Thoracic Vertebrae/injuries* ; Operative Time ; Fracture Fixation, Internal/methods*