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

OBJECTIVE: High-altitude hypoxia exposure often damages hippocampus-dependent learning and memory. Nogo-A is an important axonal growth inhibitory factor. However, its function in high-altitude hypoxia and its mechanism of action remain unclear. METHODS: In an in vivo study, a low-pressure oxygen chamber was used to simulate high-altitude hypoxia, and genetic or pharmacological intervention was used to block the Nogo-A/NgR1 signaling pathway. Contextual fear conditioning and Morris water maze behavioral tests were used to assess learning and memory in rats, and synaptic damage in the hippocampus and changes in oxidative stress levels were observed. In vitro, SH-SY5Y cells were used to assess oxidative stress and mitochondrial function with or without Nogo-A knockdown in Oxygen Glucose-Deprivation/Reperfusion (OGD/R) models. RESULTS: Exposure to acute high-altitude hypoxia for 3 or 7 days impaired learning and memory in rats, triggered oxidative stress in the hippocampal tissue, and reduced the dendritic spine density of hippocampal neurons. Blocking the Nogo-A/NgR1 pathway ameliorated oxidative stress, synaptic damage, and the learning and memory impairment induced by high-altitude exposure. CONCLUSION: Our results demonstrate the detrimental role of Nogo-A protein in mediating learning and memory impairment under high-altitude hypoxia and suggest the potential of the Nogo-A/NgR1 signaling pathway as a crucial therapeutic target for alleviating learning and memory dysfunction induced by high-altitude exposure. GRAPHICAL ABSTRACT available in www.besjournal.com.
Animals ; Oxidative Stress ; Hippocampus/metabolism* ; Rats ; Nogo Proteins/genetics* ; Male ; Rats, Sprague-Dawley ; Hypoxia/metabolism* ; Altitude ; Synapses ; Humans ; Altitude Sickness/metabolism*

OBJECTIVE: miR-34c-3p is down-regulated in nasopharyngeal carcinoma (NPC). The biological role of miR-34c-3p in NPC and its underlying mechanisms are unknown and were explored in this study. METHODS: Flow cytometry and immunohistochemical staining were employed to detect cluster of differentiation 86 (CD86) and cluster of differentiation 206 (CD206) expression; quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting were employed to examine mRNA expression and protein levels; cell counting kit-8 (CCK8) and transwell assays were employed to assess cell proliferation, migration, and invasion; and hematoxylin-eosin (HE) staining was employed to assess pathological changes in tumor tissues. RESULTS: Our results revealed that the miR-34c-3p mimic markedly inhibited M2 polarization of macrophages by targeting SLC7A11, and M2 macrophages transfected with the miR-34c-3p mimic inhibited the proliferation, migration, and invasion of NPC cells. The in vivo experiments further confirmed that miR-34c-3p mimics blocked tumor growth and reduced inflammatory infiltration in tumor tissues. CONCLUSION This study provides novel insights into the pathogenesis of NPC and a new treatment strategy.
MicroRNAs/metabolism* ; Nasopharyngeal Carcinoma/genetics* ; Humans ; Animals ; Nasopharyngeal Neoplasms/genetics* ; Macrophages/physiology* ; Cell Line, Tumor ; Mice ; Cell Proliferation ; Mice, Inbred BALB C ; Cell Movement ; Male ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Female

Aim To investigate the regulatory role and mechanism of resveratrol in inhibiting autophagy and promoting apoptosis in choroidal melanoma cells. Methods Choroidal melanoma cells (MUM2B) were divided into control and experimental groups, and treated with different concentrations of resveratrol (0, 10, 20,40,60,80 μmol ·L

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

OBJECTIVE: To explore the effectiveness of manipulation treatment for lumbar disc herniation (LDH) based on the model of muscle and bone assessment. METHODS: From May 2022 to August 2023, using the methods single-center randomized controlled in Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 72 patients were treated with LDH and divided into muscle and bone assessment model manipulation group and the two step seven gimmick group according to the random number table method, the muscle and bone assessment model manipulation group fall off in 1 case, the two step seven gimmick group falls off in 2 cases. There were 35 cases in the muscle and bone assessment model manipulation group, including 12 males and 23 females;The age was 27 to 48 years old with an average of (37.77±7.63) years old. The course of disease was 35 to 180 days with an average of (83.68±69.01) days. The patients were treated with manual therapy under the guidance of muscle and bone assessment model, twice a week for 4 weeks. There were 34 cases in the two step seven gimmick group including 12 males and 22 females;The age was 26 to 49 years old with an average of (37.59±7.43) years old;The course of disease was 40 to 175 days with an average of (82.15±68.87) days. The patients were treated with two step seven gimmick method, 2 times a week, for 4 weeks. The visual analogue scale (VAS) and Oswestry disability index (Oswestry disability index, ODI) questionnaire, muscle tension and lumbar spine angle and the straight leg-raising activities were compared between two groups before and 4 weeks after treatment. RESULTS: The VAS of the muscle and bone assessment model manipulation group and the two step seven gimmick group(6.51±0.61) and (6.62±0.56) before treatment decreased to 2.40±0.81 and 3.18±0.78 after 4 weeks of treatment, respectively, and the muscle and bone assessment model manipulation group was significantly lower than the two step seven gimmick group (P<0.01). The ODI of the muscle and bone assessment model manipulation group and the two step seven gimmick group were (64.57±5.11) and (65.02±5.18) before treatment, decreased to (18.60±2.27) and (24.70±2.14) after 4 weeks of treatment, and the ODI of the muscle and bone assessment model manipulation group was significantly lower than that of the two step seven gimmick group (P<0.01). Before the treatment, side erector spinae, gluteus medius, and gastrocnemius muscle tension were (59.95±2.60), (62.59±2.51), (49.97±2.01) in the muscle and bone assessment model manipulation group and (60.39±3.84), (62.47±3.27), (49.55±1.27) in the two step seven gimmick group;After 4 weeks of treatment, the muscle tension of erector spinae, gluteus medius and gastrocnemius on the affected side were (56.58±2.71), (60.44±2.31) and (49.19±1.57) in the muscle and bone assessment model manipulation group, (58.28±3.79), (60.11±2.87), (48.55±0.90) in the two step seven gimmick group, the differences had statistical significance before and after treatment of two groups(P<0.01). The muscle and bone assessment model manipulation group was better than the two step seven gimmick group in improving the erector spinae muscle tension on the affected side (P<0.05), and there was no significant difference in the rest (P>0.05). Before the treatment, lumbar proneness, stretch, subject to lateral flexion and lateral angle of the straight leg-raising on the affected side were (46.00±8.89)°, (13.57±3.75)°, (12.29±3.50) °, (43.71±7.98) ° in the muscle and bone assessment model manipulation group, (45.14±6.24) °, (12.23±3.75) °, (12.66±2.98) ° and (44.18±3.50) ° in the two step seven gimmick group. After 4 weeks of treatment, the angles of lumbar flexion, extension, flexion on the affected side and straight leg raising on the affected side were (76.29±4.43) °, (20.00±1.71) °, (22.43±2.81) °, (70.41±7.59) ° in the muscle and bone assessment model manipulation group, and (75.75±6.38) °, (16.43±3.36) °, (20.19±3.52) °, (65.42±6.15) ° in the two step seven gimmick group. The difference had statistical significance before and after treatment in two groups(P<0.01), a comparison between groups, after 4 weeks of treatment, the angles of lumbar flexion and extension, affected side flexion, and lower limb straight leg elevation in the muscle and bone assessment model manipulation group were better than those in the two step seven gimmick group (P<0.05). Before the treatment, pelvic tilt, lumbar lordosis angle were (2.71±1.01) mm, (37.63±3.35) ° in the muscle and bone assessment model manipulation group, and (2.69±0.97) mm, (36.98±3.73) ° in the two step seven gimmick group;After 4 weeks of treatment, the pelvic tilt and lumbar lordosis angle were (0.84±0.36) mm and (41.64±2.96) ° in the muscle and bone assessment model manipulation group, and those in the method of two step seven gimmick group were (1.18±0.75) mm and (41.70±3.14) °. There were significant differences before and after treatment in both groups (P<0.01), and the improvement of pelvic tilt in the muscle and bone assessment model manipulation group was better than that in the method of two step seven gimmick group after 4 weeks of treatment (P<0.05). CONCLUSION The manipulation under the guidance of the muscle and bone assessment model can effectively improve the pain and dysfunction of LDH patients, and has a better effect than the two-step seven-method manipulation group in improving the muscle tension, lumbar motion function and posture.
Humans ; Male ; Female ; Intervertebral Disc Displacement/physiopathology* ; Middle Aged ; Adult ; Lumbar Vertebrae

Objective: To explore the safety and efficacy of transcatheter aortic valve replacement (TAVR) using the "All in One" single-artery/vessel technique. Methods: This is a retrospective study. A total of 30 consecutive patients underwent TAVR using the single artery/vascular technique in Beijing Anzhen Hospital from August to December 2021 were included. Baseline clinical data, operative situation, postoperative outcomes, and incidence of adverse events during hospitalization and at one month post TAVR were analyzed. Results: Mean age was (72.6±9.7) years, 16 were male patients, STS score was (4.73±3.12)%. Four patients were diagnosed as isolated aortic regurgitation (all with tricuspid aortic valves), and 26 patients were diagnosed as aortic stenosis (AS), 10 of whom with tricuspid aortic valves and 16 of whom with bicuspid aortic valves. The single-vessel technique was applied in 3 aortic stenosis cases; the single-artery technique was applied in 27 cases. Echocardiography was performed immediately after procedure and results showed no or trace perivalvular leak in 27 cases and small perivalvular leak in 3 cases; the mean aortic transvalvular gradient of 26 AS patients decreased from (50.4±16.0) mmHg (1 mmHg=0.133 kPa) to (9.4±3.2) mmHg (P<0.001). The procedure time was (64.8±18.9) min. There were no intraoperative death, valve displacement, conversion to surgery, coronary artery occlusion in all 30 patients. There were no major cardiac adverse events such as myocardial infarction or stroke occurred during hospitalization or at follow-up. One-month follow-up echocardiography indicated prosthesis works well. The symptoms were significantly alleviated, and the Kansas City Cardiomyopathy Score (KCCQ score) of all patients increased from 48.1±18.4 to 73.5±17.6 (P<0.001). Conclusions: TAVR using the single artery/vessel technique is safe and feasible. This technique is related to reduced access complications and worthy of wide application.
Humans ; Male ; Middle Aged ; Aged ; Aged, 80 and over ; Female ; Transcatheter Aortic Valve Replacement ; Retrospective Studies ; Arteries ; Aorta ; Aortic Valve Stenosis/surgery*

Objective: To investigate the application value of computed tomography (CT) examination of lymph node short diameter in evaluating cardia-left gastric lymph node metastasis in thoracic esophageal squamous cell carcinoma (ESCC). Methods: A total of 477 patients with primary thoracic ESCC who underwent surgical treatment in the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to December 2017 were collected. All of them underwent McKeown esophagectomy plus complete two-field or three-field lymph node dissection. Picture archiving and communication system were used to measure the largest cardia-left gastric lymph node short diameter in preoperative CT images. The postoperative pathological diagnosis results of cardia-left gastric lymph node were used as the gold standard. Receiver operating characteristic (ROC) curve was used to evaluate the efficacy of CT lymph node short diameter in detecting the metastasis of cardia-left gastric lymph node in thoracic ESCC, and determine the optimal cut-off value. Results: The median short diameter of the largest cardia-left gastric lymph node was 4.1 mm in 477 patients, and the largest cardia-left gastric lymph node short diameter was less than 3 mm in 155 cases (32.5%). Sixty-eight patients had cardia-left gastric lymph node metastases, of which 38 had paracardial node metastases and 41 had left gastric node metastases. The lymph node ratios of paracardial node and left gastric node were 4.0% (60/1 511) and 3.3% (62/1 887), respectively. ROC curve analysis showed that the area under the curve of CT lymph node short diameter for evaluating cardia-left gastric lymph node metastasis was 0.941 (95% CI: 0.904-0.977; P<0.05). The optimal cut-off value of CT examination of the cardia-left gastric lymph node short diameter was 6 mm, and the corresponding sensitivity, specificity and accuracy were 85.3%, 91.7%, and 90.8%, respectively. Conclusion: CT examination of lymph node short diameter can be a good evaluation of cardia-left gastric lymph node metastasis in thoracic ESCC, and the optimal cut-off value is 6 mm.
Humans ; Esophageal Squamous Cell Carcinoma/pathology* ; Cardia/surgery* ; Esophageal Neoplasms/pathology* ; Lymphatic Metastasis/pathology* ; Lymph Nodes/pathology* ; Lymph Node Excision ; Tomography, X-Ray Computed/methods* ; Esophagectomy/methods* ; Retrospective Studies

Using an integrated bioinformatics approach to find novel biomarkers that can predict asthma severity. From June 2022 to December 2022, this clinical medical study was conducted and completed in the Department of Allergy, Zhongnan Hospital of Wuhan University. The gene chip dataset GSE43696 was screened and downloaded from the high-throughput Gene Expression Omnibus (GEO) database, and the gene chip data preprocessing was completed using package "affy" in R and "rma" algorithm in turn. Use the the "edgeR" and "limma" packages to screen out the differentially expressed genes (DEGs) between normal controls, mild to moderate asthma patients and severe asthma patients, and then use the "clusterProfiler" package to perform GO enrichment analysis and KEGG pathway enrichment analysis of DEGs, finally use the STRING website to construct a protein-protein interaction (PPI) network of DEGs to further screen key genes. Using the R language "WGCNA" package, the weighted gene co-expression network analysis (WGCNA) was performed on the dataset GSE43696, and the modules significantly related to the severity of asthma were screened out, then the hub genes were obtained by intersecting the WGCNA analysis results with the DEGs screened by PPI. Datasets GSE43696 and GSE63142 were used to verify the expression of hub genes, and the diagnostic value was evaluated according to the ROC curve, then the potential function of hub genes in dataset GSE43696 was further clarified by gene set enrichment analysis (GSEA). The results showed that a total of 251 DEGs were screened, including 39 in the normal group and mild to moderate asthma group, 178 in the normal group and severe asthma group, and 34 in the mild to moderate asthma group and severe asthma group, mainly involved in biological processes such as response to toxic substance, response to oxidative stress, extracellular structure organization, extracellular matrix organization. Two modules significantly correlated with asthma severity were screened out (red module, P=7e-6, r=0.43; pink module, P=5e-8, r=-0.51), and finally six hub genes were obtained, including B3GNT6, CEACAM5, CCK, ERBB2, CSH1 and DPPA5. The comparison of gene expression levels and ROC curve analysis of datasets GSE43696 and GSE63142 further verified the six hub genes, which may associated with o-glycan biosynthesis, alpha linolenic acid metabolism, linoleic acid metabolism, pentose and glucoronate interconversions. In conclusion, through a variety of bioinformatics analysis methods, this study identified six hub genes significantly related to the severity of asthma, which potentially provided a new direction for the prediction and targeted therapy of asthma.
Humans ; Asthma/genetics* ; Computational Biology ; Hospitals