AIM: To investigate the expression and clinical diagnostic value of toll-like receptor 4(TLR4)and nuclear factor-κB(NF-κB)in conjunctival epithelial cells and tears of patients with dry eye.METHODS: From January 2023 to June 2024, 104 dry eye patients(104 eyes, disease group)who visited our hospital and 100 healthy individuals(100 eyes, control group)who underwent physical examination were selected. The changes of TLR4 and NF-κB in conjunctival epithelial cells and tears were analyzed. Pearson analysis was applied to analyze the correlation between TLR4 and NF-κB expression in conjunctival epithelial cells and tears. Logistic analysis was applied to analyze the factors that affected dry eye. ROC was applied to analyze the diagnostic value of TLR4 and NF-κB expression in conjunctival epithelial cells and tears for dry eye.RESULTS: The differences in the use of eye drops, tear film break-up time(BUT), Schirmer's test(SⅠt), tear film thickness(TFT), and corneal fluorescein staining(CFS)scores between the disease group and the control group were statistically significant(all P<0.01). The expression levels of TLR4 and NF-κB in conjunctival epithelial cells and tears in the disease group were significantly higher than those in the control group(all P<0.01). There was a positive correlation between TLR4 and NF-κB in conjunctival epithelial cells and tears(r=0.392, 0.348, all P<0.05). Frequent use of eye drops, CFS score, TLR4, and NF-κB were risk factors for dry eye(OR=2.153, 3.183, 1.578, 2.452, all P<0.05), while BUT, SⅠt, and TFT were protective factors for dry eye(OR=0.654, 0.755, 0.276, all P<0.05). The sensitivity, specificity, and AUC of TLR4 combined with NF-κB in conjunctival epithelial cells in the diagnosis of dry eye were 86.54%, 81.00%, and 0.889, respectively. The combination of TLR4 and NF-κB had higher diagnostic value for dry eye than uncombined diagnosis(Zcombination-TLR4=3.506, P=0.001; Zcombination-NF-κB=3.165, P=0.002). The sensitivity, specificity, and AUC of TLR4 combined with NF-κB in tears for diagnosing dry eye were 82.69%, 70.00%, and 0.818, respectively. The combination of TLR4 and NF-κB in tears had higher diagnostic value for dry eye than uncombined diagnosis(Zcombination-TLR4=3.117, P=0.002; Zcombination-NF-κB=2.363, P=0.018).CONCLUSION: The expression levels of TLR4 and NF-κB in conjunctival epithelial cells and tears of patients with dry eye are elevated. TLR4 and NF-κB are related to the development of dry eye, and that elevated levels of both are associated with an increased risk of dry eye disease. The combination of TLR4 and NF-κB has a certain diagnostic significance for dry eye.

Approximately 300 million tons of plastic are produced globally each year,which has a serious impact on human health,marine life and the livestock industry.Microplastics have also been detected in meat and milk samples.Research has shown that nanoplastics(NP)(＜1 μm)and mi-croplastics(MP)(1 μm-5 mm)can affect the digestive,immune and reproductive systems of ani-mals.This experiment aims to investigate whether NP and MP regulate autophagy and damage the nervous system and spatial memory of animals.This experiment was divided into control group,nanoplastic group(PS-NP group,0.1 μm)and microplastic group(PS-MP group,1 μm),with 20 mice in each group.The mice were given 0.5 mL of PS-NP and PS-MP every day for 35 consecutive days,followed by neck amputation and brain analysis.The results showed that NPs and MPs of dif-ferent diameters caused varying degrees of damage to the brains of mice.In the behavioral tests of new object recognition,barnes maze and Y-shaped maze spatial memory,compared with the control group,the PS-NP group and PS-MP group showed a significant decrease in spatial memory ability of mice.HE staining results showed that neuronal cells in the PS-NP and PS-MP groups of mice exhibited shrinkage,decreased cell volume and deepened staining.The number of Nissl bodies de-creased,leading to dissolution and disappearance.RT-PCR and Western blot results showed that compared with the control group,the expression of glutamate receptors NR1,NR2A and NR2B in-creased in mice administered NP and MP orally,while the expression of autophagy related proteins Parkin,LC3B and Beclin1 was inhibited.In summary,this study suggests that nanoplastics and mi-croplastics stimulate glutamate receptors in mice by inhibiting the autophagy pathway,leading to impaired spatial memory.

Objective:To investigate the ability to diagnose, treat and manage kidney disease in Shanghai community health service centers.Methods:This was a cross-sectional survey. An online questionnaire survey was conducted in November 2023 among 248 Shanghai community health service centers and 2 140 general practitioners in Shanghai. The main topics of the institutional research were the kidney disease-related inspection items that medical institutions could carry out, the kidney disease diagnosis and treatment drugs, the kidney disease grass-roots management training, the opening of kidney disease clinics and the establishment of kidney disease standard diagnosis and treatment records. The main topics of the survey of general practitioners were general information, standardized diagnosis and management measures of kidney disease, knowledge based on the diagnosis and treatment guidelines of chronic kidney disease, and difficulties in standardized management of kidney disease.Results:Among the laboratory examination items in Shanghai community health service centers, the rates of routine urine (99.60%, 247 centers), renal function (95.16%, 236 centers) and urinary microalbumin (89.11%, 229 centers) were high. Among the imaging examinations, B-ultrasound of urinary system had the highest rate (92.34%, 229 centers). The preparation rate of kidney disease drugs varied widely among the centers, and the preparation rate of Chinese drugs such as Jinshuibao, nephritis Kangfu tablet and Shenshuaining was more than 90%. Sixty-six (26.61%) community health service centers had established kidney disease clinics. The overall accuracy rate of community general practitioners was 63.81% (13 656/21 400), of which the accuracy rate for diagnosis and screening method, referral indication and emergency dialysis indication was more than 85%, but the accuracy rate for drug treatment and careful medication was low at 28.93% (1 238/4 280) and 33.22% (711/2 140), respectively. There was a willingness for Community general practitioners to provide all aspects of life guidance for patients with kidney disease, but for patients with end-stage renal disease replacement therapy, there was a preference for this to be provided by the appropriate specialist.Conclusions:The community health service centers in Shanghai has already had the basic conditions for the management of kidney disease in terms of basic examination and testing equipment, drugs, etc. The community general practitioners have a certain knowledge of kidney disease, and the drug treatment needs to be strengthened.

Objective:To investigate the effects of psychological state on the setup errors of radiotherapy for breast cancer patients.Methods:A prospective cohort study was conducted. A total of 193 breast cancer patients in Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from October 2022 to May 2023 were selected. Radiotherapy was performed after fixation with an integrated multi-functional device for the head, chest and abdomen. Psychological status of patients was assessed by using 9-item health questionnaire (PHQ-9) and generalized anxiety disorder 7 self-rating scale (GAD-7) before first radiotherapy, the 10th radiotherapy and the last radiotherapy. Based on the results of the questionnaires, patients were divided into psychological problem (anxiety or depression) group and non-psychological problem group. The general data and setup errors of radiotherapy in both groups were compared.Results:All the 193 patients were female, with a median age of 47 years. There were 53 patients in psychological problem group and they underwent a total of 507 image-guided procedures, with setup errors [ M ( Q1, Q3)] of 0.18 (0.07, 0.33), 0.20 (0.10, 0.33) and 0.19 (0.09, 0.30) in the left-right (X), superior-inferior (Y), and anterior-posterior (Z) directions, respectively; the remaining 140 patients in non-psychological problem group underwent 1 240 image-guided procedures, with setup errors [ M ( Q1, Q3)]of 0.17 (0.08, 0.30), 0.20 (0.10, 0.30) and 0.18 (0.09, 0.28) in the X, Y, and Z directions, respectively, and the differences were statistically significant ( Z values were -3.78, -2.00; P < 0.001, P = 0.046). Conclusions:Anxiety and depression have an influence on the setup errors of radiotherapy in patients with breast cancer. In the processs of radiotherapy for breast cancer, it is important to pay attention to the psychological status of patients.

Ulcerative colitis(UC)is a chronic inflammatory bowel disease affecting the colon(particularly the descending colon and sigmoid)and rectum.UC primarily presents with persistent or recurrent diarrhea,abdominal pain,bloody stools,and other symptoms.The primary pathological mechanism of UC involves intestinal barrier injury.When the intestinal barrier function is compromised,characterized by loss of epithelial layer integrity,thinning of the mucus layer,and microbiota dysregulation,pathogenic microorganisms can infiltrate the lamina propria from the intestinal lumen through the damaged barrier,triggering and exacerbating the intestinal inflammatory response.Current treatments for UC are limited by high costs,numerous adverse reactions,and a high likelihood of relapse.Consequently,there is an urgent need for the development of new drugs that can effectively and safely treat UC.Natural products have become significant research targets in treating various diseases due to their broad biological activity,multiple action targets,low toxicity,and easy availability.They play a crucial role in the targeted repair of the intestinal barrier,with potential mechanisms including enhancing intes-tinal epithelial cells and their secreted proteins,regulating gut microbiota and its metabolism,and balancing immune cell subsets.Additionally,it is essential to consider the synergistic effects,bioavailability,and safety of natural products.This paper summarizes the natural products reported in the past five years for their anti-UC properties by repairing the intestinal barrier,providing a theoretical basis for the development and application of natural products in anti-UC drugs.

Objective:To explore the value of non-invasive habitat imaging (HI) multi-parametric MRI (mpMRI) in predicting the risk of prostate cancer (PCa).Methods:In this cross-sectional study, 220 patients with PCa confirmed by radical prostatectomy (RP) who underwent multi-parametric MRI (mpMRI) scanning at Xijing Hospital, Air Force Military Medical University from January 2018 to May 2024 were retrospectively collected. Patients were divided into a training set (154 cases) and a test set (66 cases) by simple random sampling in a 7∶3 ratio. Based on mpMRI imaging, the apparent diffusion coefficient (ADC), perfusion fraction (f), and mean kurtosis (MK) of each voxel were integrated. The K-means clustering algorithm was used to divide the PCa target lesions into habitat subregions, generate habitat maps, and calculate the proportion of each habitat subregion in the entire lesion. According to the 2019 International Society of Urological Pathology (ISUP) guidelines, patients were categorized into a low-risk group (ISUP≤2, 65 cases) and a high-risk group (ISUP≥3, 155 cases). The RP specimens were matched with the habitat map to identify corresponding habitat subregions, and the ISUP grade of each subregion was individually evaluated to calculate the detection rate of high-risk PCa patients. The logistic regression analysis was applied to identify the independent risk factors associated with PCa risk, and the HI-clinical imaging model and clinical imaging model were constructed. The efficacy of the models was assessed using receiver operating characteristic curve.Results:Based on the optimal cluster number, the habitat was divided into three subregions. Habitat 1 had lower ADC and f values and higher MK values, while habitat 2 had the opposite characteristics, and habitat 3 was intermediate. The proportion of habitat 1 in the high-risk group was 28.8%, in the low-risk group was 8.9%. In the training set, the comparison of habitat subregions with pathological results showed that the detection rate of high-risk lesions was 66.9% (103/154) in habitat 1, 25.3% (39/154) in habitat 2, and 47.4% (73/154) in habitat 3. The logistic regression analysis indicated that the proportion of habitat 1 ( OR=3.03, 95% CI 1.77-5.18, P<0.001), prostate-specific antigen ( OR=1.66, 95% CI 1.04-2.66, P=0.034), and the prostate imaging reporting and data system score ( OR=1.65, 95% CI 1.00-2.70, P=0.048) as independent risk factors for high-risk PCa. In the training set, the area under the curve (AUC) for predicting PCa risk was 0.854 (95% CI 0.789-0.920) for the HI-clinical imaging model and 0.779 (95% CI 0.701-0.856) for the clinical imaging model. In the test set, the AUC values were 0.809 (95% CI 0.693-0.895) and 0.738 (95% CI 0.619-0.856), respectively. Conclusion:HI based on mpMRI can effectively predict the risk of PCa.

ObjectiveTo determine the optimal combination of the effective monomer components "quercetin-kaempferol-abietic acid-boswellic acid" in Fujin Shengjisan for promoting diabetic ulcer （DU） wound healing through uniform design， thereby achieving the modern application of the ancient formula. MethodsFollowing the principle of "uniform design-pharmacodynamic experiment-mathematical modeling and model verification"， the U₁₄（14⁵） uniform design table was adopted.The four monomer components of Chinese medicine were considered as the independent variables， and the proliferation rate of human umbilical vein endothelial cells （HUVECs） induced by glucose was used as the pharmacodynamic indicator. A mathematical model was constructed using DPS software to correlate the effective monomer components with the pharmacodynamic indicator. The results of uniform design were verified through CCK-8 assay， cell scratch healing， tube formation， Western blot， and Real-time PCR. ResultsAmong the 14 compatibility groups， compared with the high-glucose model group， compound compatibility group 6 showed the strongest proliferation effect and statistical significance （P<0.05）. Four quadratic polynomial regression equations （Y₁-Y₄） were obtained through DPS modeling. Considering the model's fit， stability， and practical application， equations Y₁-Y₃ were selected for the follow-up verification. To ensure experiment reproducibility， group 6 was used for validation. Group 6 and equations Y₁-Y₃ were renamed as compound prescription ① to compound prescription④， respectively， to represent the modern application of the ancient FJSJ Powder through compatibility of monomer components. Verification experiments showed that in the CCK-8， scratch healing， and tube formation assays， the cell viability， wound healing rate， and tube formation number of HUVECs stimulated with 50 mmol·L^-1 glucose were significantly reduced compared with the blank group. Moreover， the expression levels of angiogenesis-related cytokines， vascular endothelial growth factor （VEGF） and fibroblast growth factor 2 （FGF2）， and CD31 secretion were significantly down-regulated. However， after intervention with compound prescriptions ① to ④， compound prescriptions ① and ③ significantly improved the biological functions of HUVECs induced by 50 mmol·L^-1 glucose. Further analysis of the regression coefficients of compound prescriptions ① and ③， and the relative dose ratios of each monomer component， indicated that abietic acid， quercetin， and boswellic acid promoted angiogenesis of HUVECs in the high glucose environment， with a major effect （positive partial correlation coefficients， all > 0.9）. Abietic acid and boswellic acid， as well as kaempferol and boswellic acid， promoted angiogenesis in HUVECs through interaction （positive partial correlation coefficients）. ConclusionCompound prescriptions ① and ③ are the optimal combinations. They can reverse the inhibitory effects of high glucose， stimulate the proliferation， migration， and tube formation abilities of HUVECs in a high glucose environment， and promote the expression of vascular endothelial growth factorA（VEGFA）， FGF2， and CD31， thereby promoting angiogenesis and facilitating DU wound healing. This finding not only confirms the good reproducibility and feasibility of compound prescriptions ① and ③ but also provides new insights and methods for the rational construction of mathematical models to further study the compatibility theory of Chinese medicine.

AIM: To investigate the correlation between the expression of serum lipocalin 2(LCN2), chemokine like receptor 1(CMKLR1), and C-C motif chemokine ligand 11(CCL11)and the severity of disease in patients with type 2 diabetes mellitus(T2DM)and dry eye(DE).METHODS:A prospective selection of 97 patients(194 eyes)diagnosed with T2DM and DE at our hospital from May 2022 to May 2024 was made as the DE group, which was further divided into mild(47 cases, 94 eyes), moderate(34 cases, 68 eyes), and severe(16 cases, 32 eyes)subgroups based on the severity of dry eye. Additionally, 97 patients(194 eyes)of T2DM without DE were selected as non-DE group, and 97 healthy volunteers(194 eyes)who underwent physical examination during the same period were chosen as control group. Serum levels of LCN2, CMKLR1, and CCL11 were measured in all participants. Spearman correlation analysis was used to assess the relationship between serum levels of LCN2, CMKLR1, and CCL11 and the severity of DE in T2DM patients; multivariate Logistic analysis was used to analyze the factors affecting the severity of T2DM patients with DE. The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of serum LCN2, CMKLR1 and CCL11 levels for moderate to severe dry eye in T2DM patients.RESULTS: Serum levels of LCN2, CMKLR1, and CCL11 increased progressively from the control group to the non-DE group and then to the DE group(all P<0.05). Within the DE group, these levels also increased progressively from the mild to moderate and then to the severe subgroups(all P<0.05). Spearman correlation analysis showed that serum levels of LCN2, CMKLR1, and CCL11 were positively correlated with the severity of disease(rs=0.604, 0.591, 0.559, respectively; all P<0.05). Stepwise forward multivariate Logistic analysis showed that Schirmer's test(SⅠt), tear break-up time(BUT), serum levels of LCN2, CMKLR1 and CCL11 were the factors affecting the severity of T2DM patients with DE; ROC curve analysis indicated that the combined diagnosis of serum LCN2, CMKLR1, and CCL11 for the progression of T2DM with DE to moderate-to-severe stages had an area under curve(AUC)value of 0.896, which was significantly higher than that of individual diagnoses of LCN2, CMKLR1, and CCL11(Z=2.925, 2.704, 3.483, respectively; P=0.003, 0.007, <0.001).CONCLUSION: Serum LCN2, CMKLR1 and CCL11 levels are increased in T2DM patients with DE, and are positively correlated with the severity of DE. The combination of the three has a high diagnostic value for moderate to severe DE.

Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

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.