Patients suffering from nerve injury often experience exacerbated pain responses and complain of memory deficits. The dorsal hippocampus (dHPC), a well-defined region responsible for learning and memory, displays maladaptive plasticity upon injury, which is assumed to underlie pain hypersensitivity and cognitive deficits. However, much attention has thus far been paid to intracellular mechanisms of plasticity rather than extracellular alterations that might trigger and facilitate intracellular changes. Emerging evidence has shown that nerve injury alters the microarchitecture of the extracellular matrix (ECM) and decreases ECM rigidity in the dHPC. Despite this, it remains elusive which element of the ECM in the dHPC is affected and how it contributes to neuropathic pain and comorbid cognitive deficits. Laminin, a key element of the ECM, consists of α-, β-, and γ-chains and has been implicated in several pathophysiological processes. Here, we showed that peripheral nerve injury downregulates laminin β1 (LAMB1) in the dHPC. Silencing of hippocampal LAMB1 exacerbates pain sensitivity and induces cognitive dysfunction. Further mechanistic analysis revealed that loss of hippocampal LAMB1 causes dysregulated Src/NR2A signaling cascades via interaction with integrin β1, leading to decreased Ca²⁺ levels in pyramidal neurons, which in turn orchestrates structural and functional plasticity and eventually results in exaggerated pain responses and cognitive deficits. In this study, we shed new light on the functional capability of hippocampal ECM LAMB1 in the modulation of neuropathic pain and comorbid cognitive deficits, and reveal a mechanism that conveys extracellular alterations to intracellular plasticity. Moreover, we identified hippocampal LAMB1/integrin β1 signaling as a potential therapeutic target for the treatment of neuropathic pain and related memory loss.
Animals ; Laminin/genetics* ; Hippocampus/metabolism* ; Neuralgia/metabolism* ; Cognitive Dysfunction/etiology* ; Male ; Peripheral Nerve Injuries/metabolism* ; Extracellular Matrix/metabolism* ; Integrin beta1/metabolism* ; Pyramidal Cells/metabolism* ; Signal Transduction

OBJECTIVES: To explore the mediating role of sleep duration in the relationship between depression symptoms and myopia among middle school students. METHODS: This study was a cross-sectional research conducted using a stratified cluster random sampling method. A total of 1 728 middle school students were selected from two junior high schools and two senior high schools in certain urban areas and farms of the Xinjiang Production and Construction Corps. Questionnaire surveys and vision tests were conducted among the students. Spearman analysis was used to analyze the correlation between depression symptoms, sleep duration, and myopia. The Bootstrap method was employed to investigate the mediating effect of sleep duration between depression symptoms and myopia. RESULTS: The prevalence of myopia in the overall population was 74.02% (1 279/1 728), with an average sleep duration of (7.6±1.0) hours. The rate of insufficient sleep was 83.62% (1 445/1 728), and the proportion of students exhibiting depression symptoms was 25.29% (437/1 728). Correlation analysis showed significant negative correlations between visual acuity in both eyes and sleep duration with depressive emotions as measured by the Center for Epidemiologic Studies Depression Scale (with correlation coefficients of -0.064, -0.084, and -0.199 respectively; P<0.01), as well as with somatic symptoms and activities (with correlation coefficients of -0.104, -0.124, and -0.233 respectively; P<0.01) and interpersonal relationships (with correlation coefficients of -0.052, -0.059, and -0.071 respectively; P<0.05). The correlation coefficients for left and right eye visual acuity and sleep duration were 0.206 and 0.211 respectively (P<0.001). Sleep duration exhibited a mediating effect between depression symptoms and myopia (indirect effect=0.056, 95%CI: 0.029-0.088), with the mediating effect value for females (indirect effect=0.066, 95%CI: 0.024-0.119) being higher than that for males (indirect effect=0.042, 95%CI: 0.011-0.081). CONCLUSIONS Sleep duration serves as a partial mediator between depression symptoms and myopia in middle school students.
Humans ; Myopia/etiology* ; Male ; Female ; Depression/physiopathology* ; Cross-Sectional Studies ; Sleep ; Adolescent ; Students ; Child ; Time Factors ; Sleep Duration

OBJECTIVE: To investigate platelet count trajectories after induction therapy with venetoclax combined with azacitidine (VA regimen) in newly diagnosed AML patients and further analyze its clinical significance. METHODS: Clinical date of 50 newly diagnosed AML patients who received VA treatment from March 2020 to July 2023 in Department of Hematology of the First Hospital of Lanzhou University were retrospectively collected. The platelet trajectories after induction chemotherapy were constructed by using group-based trajectory modeling. To study the association between diverse trajectories of platelet counts and compound complete remission (cCR) rate, overall response rate (ORR), minimal residual disease (MRD) negative rate and overall survival (OS) rate. The Cox proportional hazard model was used to evaluate the relationship between platelet trajectory and OS. The logistic regression was used to analyze the influence of individual characteristics on platelet trajectory. RESULTS: Two platelet trajectories were identified based on the model, including platelet slowly increased group (n=31, 62.0%) and platelet rapidly increased group (n=19, 38.0%). There were statistically significant differences in cCR rate, ORR and OS rate between platelet slowly increased group and platelet rapidly increased group (all P < 0.05). The Cox regression analysis showed that platelet rapidly increased group was associated with a decreased risk of mortality compared with platelet slowly increased group (HR=0.153, 95%CI : 0.045-0.527, P =0.003). Logistic regression analysis showed that IDH1/2 mutation (OR =3.908, 95%CI : 1.023-14.923, P =0.046) and platelet transfusion (OR =0.771, 95%CI : 0.620-0.959, P =0.020) were independent influencing factors of platelet trajectory. CONCLUSION The dynamic trajectory of platelet counts in newly diagnosed AML patients who received VA treatment can serve as a significant indicator to observe the efficacy and prognosis. The platelet rapidly increased is an independent protective factor for good prognosis. TheIDH1 /2 mutation and platelet transfusion are independent influencing factors of platelet trajectory.
Humans ; Leukemia, Myeloid, Acute/blood* ; Sulfonamides/administration & dosage* ; Azacitidine/therapeutic use* ; Platelet Count ; Retrospective Studies ; Bridged Bicyclo Compounds, Heterocyclic/administration & dosage* ; Male ; Female ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Induction Chemotherapy ; Survival Rate

E3 ubiquitin ligase is a key enzyme that determines substrate specificity during ubiquitination and plays an important role in regulating the degradation of tumor suppressor or oncogenic proteins. E3 ubiquitin ligase is involved in regulating leukemia cell differentiation, cell cycle and immune response, and it is closely related to the occurrence and development of acute myeloid leukemia (AML). Targeting highly specific E3 ubiquitin ligase can be used as an effective treatment for AML. This article reviewed the latest progress of E3 ubiquitin ligase in the diagnosis and treatment of AML, aiming to provide insights for the precise targeted therapy of this disease.
Humans ; Ubiquitin-Protein Ligases/metabolism* ; Leukemia, Myeloid, Acute/therapy*

OBJECTIVE: To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance. METHODS: A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument. Color and texture features from various parts of facial and tongue images were extracted using Face Diagnosis Analysis System (FDAS) and Tongue Diagnosis Analysis System version 2.0 (TDAS v2.0). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for feature selection. Ten machine learning models and one deep learning model (ResNet50V2 + Conv1D) were developed and evaluated. RESULTS: Anemic women showed lower a-values, higher L- and b-values across all age groups. Texture features analysis showed that women aged 30-39 with anemia had higher angular second moment (ASM)and lower entropy (ENT) values in facial images, while those aged 40-49 had lower contrast (CON), ENT, and MEAN values in tongue images but higher ASM. Anemic women exhibited age-related trends similar to healthy women, with decreasing L-values and increasing a-, b-, and ASM-values. LASSO identified 19 key features from 62. Among classifiers, the Artificial Neural Network (ANN) model achieved the best performance [area under the curve (AUC): 0.849, accuracy: 0.781]. The ResNet50V2 model achieved comparable results [AUC: 0.846, accuracy: 0.818]. CONCLUSION Differences in facial and tongue images suggest that color and texture features can serve as potential TCM phenotype and auxiliary diagnostic indicators for female anemia.
Humans ; Female ; Tongue/diagnostic imaging* ; Adult ; Anemia/diagnosis* ; Middle Aged ; Face/diagnostic imaging* ; Young Adult ; Machine Learning

Objective To summarize the clinicopathological features,immunohistochemical characteristics,HOX transcript antisense RNA(HOTAIR)in situ hybridization status,treatment,and prognosis of myxopapillary ependymoma(MPE). Methods A total of 17 patients diagnosed with MPE based on pathological evidence in the Department of Pathology of Peking Union Medical College Hospital from November 2006 to July 2023 were selected,and the clinicopathological data of these patients were collected.Immunohistochemical staining for trimethylation at lysine 27 of histone H3 (H3K27me3),glial fibrillary acidic protein(GFAP),and epithelial membrane antigen(EMA)and alcian blue-periodic acid Schiff(AB-PAS)staining were performed in all the patients.Sixteen patients with spinal ependymomas were selected as the control group.Tissue microarrays were prepared from 17 MPE patients and the control group.HOTAIR ISH was performed and semi-quantitatively scored,and the scores of the two groups were compared by the Wilcoxon rank-sum test. Results The 17 MPE patients aged 14-64 years,with the mean age of(37.48±16.10)years and the male-to-female ratio of 0.7∶1.Their clinical manifestations mainly included lumbosacral and lower limb pains.Microscopically,tumor cells were arranged in a papillary pattern around fibrovascular axis,with abundant myxoid materials,and tumor cells were arranged in a loose meshwork in some patients.The immunohistochemical staining results showed that 17(100%),10(58.82%),and 8(47.06%)patients expressed GFAP,EMA,and D2-40,respectively,and 2(11.76%)patients lacked expression of H3K27me3.AB-PAS staining showed blue myxoid materials in all the 17(100%)patients.HOTAIR was expressed in both MPE and control groups,with higher semi-quantitative score in the MPE group than in the control group(P=0.004).Twelve patients were followed up,with a median follow-up period of 65.50 months,during which three patients showed recurrence.Conclusions MPE exhibits typical pathological features,and the combination with immunohistochemical staining for GFAP and EMA as well as AB-PAS staining facilitates diagnosis of this disease.A small number of patients loss the expression of H3K27me3.HOTAIR is highly expressed in MPE but lacks specificity,which limits its auxiliary diagnostic value.The overall prognosis of MPE is favorable,with a few patients experiencing recurrence.
Humans ; Ependymoma/metabolism* ; Male ; Adult ; Female ; Adolescent ; Middle Aged ; In Situ Hybridization ; Young Adult ; RNA, Antisense/genetics* ; Immunohistochemistry ; Prognosis

Objective To investigate the value of ultrasonographic features combined with immunohistochemistry in predicting axillary lymph node metastasis in middle-aged women with breast cancer.Methods A retrospective analysis was conducted on 827 middle-aged female breast cancer patients who underwent surgical treatment at the Affiliated Hospital of Chengde Medical University from June 2017 to June 2023.Ultrasonographic and immunohistochemical information was collected,and the patients were randomly allocated into a training set(579 patients)and a validation set(248 patients).Univariate and multivariate Logistic regression analyses were performed to identify ultrasonographic and immunohistochemical risk factors associated with axillary lymph node metastasis in these patients,and a nomogram model was developed.Receiver operating characteristic curves and calibration curves were established to evaluate the performance of the nomogram model,and clinical decision curves were built to assess the clinical value of the model.Results The maximum diameter,morphology,boundary,calcification,and expression of human epidermal growth facor receptor 2 and Ki-67 in breast cancer lesions were identified as risk factors for predicting axillary lymph node metastasis in middle-aged women.The areas under the curve of the nomogram model on the training and validation sets were 0.747(0.707-0.787)and 0.714(0.647-0.780),respectively.Calibration curves and clinical decision curves indicated good consistency and performance of the model.Conclusion The nomogram model constructed based on ultrasonographic features and immunohistochemistry of the primary breast cancer lesion demonstrates high value in predicting axillary lymph node metastasis in middle-aged women with breast cancer.
Humans ; Female ; Breast Neoplasms/diagnostic imaging* ; Middle Aged ; Lymphatic Metastasis/diagnostic imaging* ; Axilla ; Retrospective Studies ; Nomograms ; Ultrasonography ; Immunohistochemistry ; Lymph Nodes/diagnostic imaging* ; Risk Factors ; Ki-67 Antigen

Hepatocellular carcinoma （HCC） is a malignant tumor with high incidence and mortality rates worldwide. Recent studies have shown that neutrophil extracellular traps （NETs） play an important role in the development， progression， and immune escape of HCC. NETs are released by neutrophils and mainly consist of DNA， histones， and antimicrobial molecules， and in addition to immune defense， they are also involved in the initiation， metastasis， and thrombosis of HCC. This article elaborates on the formation and regulatory mechanisms of NETs， explores their potential mechanisms in the initiation， metastasis， immune escape， and thrombosis of HCC， and discusses the prospect of NETs as a target for the diagnosis and treatment of HCC， in order to provide new ideas for the precise treatment of HCC in the future and promote the early diagnosis and effective treatment of HCC.

Microplastics are widely present in various environments such as water bodies,land,and atmosphere,which pose threats to the ecological environment and human health through transmission and accumulation in the food chain.The existing detection techniques for microplastics face challenges such as complex preparation procedure of samples,low efficiency in processing large batches of samples,and difficulties in handling complex samples.Therefore,there is an urgent need for rapid and efficient detection techniques suitable for complex microplastics samples in the field of environmental monitoring.Raman spectroscopy,known for its advantages such as rapidity,accuracy,high sensitivity,non-destructiveness,and non-contact,demonstrates great application potential in detection of microplastics.Deep learning,an artificial intelligence method known for its large-scale data processing,nonlinear modeling and automatic feature extraction capabilities,is receiving increasing attention in the analysis of Raman spectroscopy signals.The application of deep learning-based Raman spectroscopy has significantly improved performance indicators such as detection efficiency and accuracy.This article introduced the existing Raman enhancement techniques,summarized the deep learning methods applied in Raman spectroscopy signal analysis,reviewed the recent research and application progress of deep learning-based Raman spectroscopy in detection of microplastics,and finally discussed the challenges and future prospects of deep learning-based Raman spectroscopy in detection of microplastics.

Resveratrol(Res) is a kind of polyphenolic compound, possessing multiple biological activities such as antioxidant, anti-inflammatory, cardioprotective, and anticancer effects. In recent years, the cardiovascular protective mechanism of Res has become a research hotspot. Studies have shown that Res has a protective effect on the cardiovascular system through various pathways, such as inhibiting oxidative stress, regulating ferroptosis of cells, improving ischemia-reperfusion(I/R) injury, regulating lipid metabolism, suppressing inflammatory responses, and enhancing endothelial function. It can also alleviate cardiotoxicity caused by drugs and chemicals. In terms of oxidative stress, Res reduces the level of intracellular reactive oxygen species(ROS) by enhancing the expression of proteins such as silent information regulator 1(SIRT1) and regulating mitochondrial function, thereby alleviating myocardial cell damage. Regarding ferroptosis, Res inhibits the occurrence of ferroptosis by regulating the expression of proteins related to iron metabolism. Res can also improve I/R injury through mechanisms such as activating autophagy and the mitochondrial quality control network. In regard to improving endothelial function, Res protects the function of endothelial cells by regulating multiple signaling pathways, such as downregulating the PREP1-mediated pathway. Res can also regulate lipid metabolism and inhibit the progression of atherosclerosis. In terms of inflammatory responses, Res exerts anti-inflammatory effects through mechanisms such as inhibiting the nuclear factor-kappa B(NF-κB) signaling pathway. In addition, Res has an improving effect on cardiotoxicity caused by different drugs or environmental factors. However, the clinical application of Res still faces limitations such as poor pharmacokinetic properties. In the future, in-depth exploration is needed at multiple levels from basic research to clinical application to clarify the dose-response relationship and standardize the standards of medication regimens with the expectation of providing more effective strategies for the prevention and treatment of cardiovascular diseases.
Humans ; Resveratrol/pharmacology* ; Animals ; Cardiotonic Agents/pharmacology* ; Oxidative Stress/drug effects* ; Cardiovascular Diseases/genetics* ; Cardiovascular System/metabolism* ; Signal Transduction/drug effects*