Mitochondria-associated endoplasmic reticulum membranes(MAMs)are crucial structural links between the endoplasmic reticulum and mitochondria, formed by a complex protein network. They play a central role in cellular calcium signaling homeostasis, mitochondrial stability, endoplasmic reticulum stress, and inflammatory response. In recent years, advances in subcellular ultrastructure research techniques have gradually uncovered the relationship between MAMs dysfunction and blinding ocular diseases. Studies indicate that structural or functional impairments in MAMs can disrupt retinal pigment epithelial cells homeostasis, compromise the survival microenvironment of retinal ganglion cells, and trigger corneal endothelial cells apoptosis, thereby contributing to the pathogenesis of various blinding ocular diseases including age-related macular degeneration, diabetic retinopathy, Fuchs endothelial corneal dystrophy, and glaucoma. This article reviews the molecular mechanisms linking MAMs in common blinding ocular diseases.

N-glycosylation is a crucial posttranslational modification of proteins that can modulate their functions and plays key roles in various biological processes. Current research has revealed that alterations in protein N-glycosylation are closely associated with the pathogenesis and progression of multiple ocular diseases. N-glycosylation detection methods can identify changes in N-glycans on proteins; therefore, understanding these techniques and their application value in ocular diseases is important. This article provides a systematic review of the current state of N-glycosylation detection methods, including techniques such as capillary electrophoresis, liquid chromatography, and mass spectrometry. It also offers a detailed discussion on the specific applications of these technologies in the study of various ocular diseases, including diabetic retinopathy, age-related macular degeneration and vernal keratoconjunctivitis/atopic keratoconjunctivitis.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

In the study of kidney ischemia-reperfusion injury, rhabdomyolysis induced kidney injury, hyperuricemia induced kidney injury and other diseases, Diaphragma Juglandis Fructus extract has shown various pharmacological effects such as lowering uric acid, anti-inflammatory, anti-tumor, sedative and sedative effects. It can improve kidney function by reducing inflammatory response, inhibiting oxidative stress, regulating related enzyme activity and other mechanisms. At the same time, Diaphragma Juglandis Fructus extract also has hypoglycemic and lipid-lowering effects, which can regulate glucose and lipid metabolism, inhibit inflammatory reaction, and reduce oxidative stress. It has potential application prospects in the treatment of diabetes nephropathy. At present, current research is mostly focused on animal and cellular experiment levels. Although certain achievements have been made, further clinical research is still needed to clarify its effectiveness and safety in the human body, and to further explore the active components to promote its application in the treatment of kidney diseases in clinical practice.

OBJECTIVE To investigate the effect of bs-5-YHEDA iron chelating peptide combined with semaglutide on the cognitive ability and pathological characteristics of D-Gal-induced Alzheimer's disease(AD) model mice. METHODS Forty mice were randomly divided into 5 groups, namely the healthy control group, PBS group, bs-5-YHEDA iron chelating peptide group, combined treatment group and positive control group, with 8 mice in each group, half of each sex. Except for the healthy control group, D-galactose was injected to induce the AD mice model for 6 weeks. For 3 consecutive weeks starting from the 4th week, the bs-5-YHEDA iron chelating peptide group was injected with bs-5-YHEDA(1 mg·mL–1) once every other day at 200 µL in the tail vein; the bs-5-YHEDA iron chelating peptide(1 mg·mL–1) and semaglutide(25 nmol·kg–1·d–1) were given alternately once a day in the combination treatment group; the positive control group was given memantine(3.3 mg·kg–1·d–1) by gavage every other day. The healthy control group and PBS group were injected with the equal dose of PBS. At the end of treatment, the learning memory ability of mice was detected by the Morris water maze method, whole brain and whole blood were dissected, and pathological changes in hippocampal region were observed by HE staining, and Aβ expression and Tau protein phosphorylation levels were detected by immunohistochemistry, enzyme-linked immunosorbent assay and immunoblotting. RESULTS In the Morris water maze spatial exploration experiment, the differences in the number of times the mice traversed the platform, the ratio of swimming distance to the target quadrant, and the time ratio were statistically significant in each group(P<0.05); compared with the PBS group, the ratio of swimming distance to the target quadrant increased in the combined treatment group, and the differences were statistically significant(P<0.05). The results of HE staining showed that compared with the healthy control mice, the hippocampal area in the PBS group showed reduced levels of pyramidal cells, disorganized arrangement, cell edema, and deep staining of nuclei consolidation. Cellular disorganization, deep staining of nuclei and apoptosis in the hippocampus were significantly improved in each treatment group after drug treatment. Immunohistochemistry and Western blotting results showed that the Aβ expression levels and Tau protein phosphorylation levels were significantly higher in the PBS-administered mice compared with the healthy control mice, and the Aβ expression levels and Tau protein phosphorylation levels were reduced in each group after drug treatment, with statistically significant differences(P<0.01 or P<0.001 ). CONCLUSION The combination of bs-5-YHEDA iron chelating peptide and semaglutide can effectively improve the learning and memory ability and pathological characteristics of AD mice, but from the results of immunohistochemistry and immunoblotting experiments, the improvement of pathological characteristics of AD mice in the combination treatment group is not obvious compared with the single bs-5-YHEDA iron chelating peptide group, suggesting that there may be a threshold effect of our designed dual-target combination treatment on the cognitive improvement of AD mice, and the optimization and validation of the effect of multi-target combination treatment need further study.

Objective:To investigate the clinical application value of commonly used preoperative indicators of sarcopenia in predicting postoperative pneumonia in patients aged 70 years and above with esophageal cancer.Methods:A retrospective analysis was conducted on the clinical data of 398 elderly patients(≥70 years old)with esophageal squamous cell carcinoma who underwent thoracic laparoscopic radical resection of esophageal cancer in our hospital from January 2020 to December 2021.The study aimed to investigate the correlation between clinical pathological indicators and commonly used measurement indicators of sarcopenia and postoperative pneumonia.Statistical analysis was performed to analyze the data.Results:The study found that the proportion of postoperative pneumonia in esophageal squamous cell carcinoma patients aged 70 years and above was 27.9%(111 out of 398). The pneumonia group had significantly lower preoperative BMI and peak expiratory flow(PEF)measurements compared to the non-pneumonia group, with statistically significant differences( t=2.799, 2.674, both P<0.05). Logistic multivariate analysis revealed that low PEF, low psoas major muscle index(PMI), and low psoas muscle density(PMD)were the primary risk factors for postoperative pneumonia in esophageal cancer patients aged 70 years and above(Wald χ2 values were 7.577, 6.091, 6.845, all P<0.05). The risk of postoperative pneumonia in esophageal cancer patients aged 70 years and above with low PEF, low PMI, and low PMD was found to be 1.969 times higher(95% CI: 1.215-3.185, P=0.006), 1.912 times higher(95% CI: 1.143-3.205, P=0.014), and 1.832 times higher(95% CI: 1.164-2.882, P=0.009)respectively, compared to patients with high PEF, high PMI, and high PMD. Conclusions:Low PEF, low PMI, and low PMD are significant risk factors for postoperative pneumonia in esophageal cancer patients aged 70 years and older.Preoperative PEF, PMI, and PMD, which are commonly utilized measurement indicators for sarcopenia, can be utilized as early screening indicators for postoperative pneumonia.

A family carrying a homozygous variant of DNAJB2 gene C.91C>T (p.His31Tyr) with distal hereditary motor neuropathy (dHMN) associated with early-onset Parkinson′s disease was reported. The patient presented with distal limb weakness and atrophy at the early stage of the disease, and developed Parkinson′s symptoms more than 10 years later. Neuroelectrophysiological examination suggested motor and sensory axonal involvement. This mutation site had not been reported and was considered to be a neogenic mutagenicity of dHMN, excluding other mutations that can cause early-onset Parkinson′s disease.

Objective:To investigate the mechanism of immunomodulatory effects of umbilical cord mesenchymal stem cells(UC-MSCs)modified by miR-125b-5p on systemic lupus erythematosus(SLE).Methods:The expression level of miR-125b-5p was detected by real-time fluorescence quantitative PCR in UC-MSCs and peripheral blood mononuclear cells(PBMCs)from SLE patients and health checkers.Annexin V-FITC/PI apoptosis detection kit was used to detect the effect of miR-125b-5p on apoptosis of UC-MSCs.MRL/lpr mice in each group were injected with UC-MSCs via tail vein,and T-lymphocyte subsets in the spleen of the MRL/lpr mice were detected by flow cytometry after 5 weeks.The expression levels of interleukin(IL)-4 and IL-17A in serum of MRL/lpr mice were detected by ELISA.Hematoxylin-eosin staining was used to observe the pathological manifestations of the lungs and kidneys of the MRL/lpr mice.Results:miR-125b-5p was significantly down-regulated in PBMCs of SLE patients compared with healthy controls(P＜0.01).Compared with the UC-MSCs group,the expression of miR-125b-5p in UC-MSCs modified by miR-125b-5p group was increased(P＜0.01).The survival rate of UC-MSCs was significantly increased by miR-125b-5p(P＜0.01).Compared with the untreated group of MRL/lpr mice,the expression level of IL-4 in serum was increased(P＜0.05);the expression level of IL-17A was decreased(P＜0.05);the proportion of Th17 cells in the spleen of MRL/lpr mice was decreased(P＜0.05);the inflammatory cells infiltration and micro-thrombosis of lungs and kidneys of MRL/lpr mice were significantly reduced in the UC-MSCs modified by miR-125b-5p treatment group.Conclusion:UC-MSCs modified by miR-125b-5p have immunomodulatory effects on systemic lupus erythematosus.

The rapid development of artificial intelligence(AI)technology has driven the intelligentization of medicine.In recent years,due to the continuous improvement of machine learning and deep learning technologies,AI technology has made rapid progress in the diagnosis and treatment of ocular fundus diseases,including retinal vascular disease,macular disease,retinal detachment,and retinal pigment degeneration.Early diagnosis and treatment are of great significance for the prognosis of ocular fundus diseases.This article gives a guide for the application of AI in automatic segmentation of ret-inal images and disease diagnosis,providing a reference for further research and appIication of AI in this field.

Mechanical ventilation(MV)provides life support for critically ill respiratory patients,but in the meantime can cause fatal ventilator-induced lung injury(VILI),and the latter remains a major challenge in respiratory and critical care medicine,because the pathological mechanism has not been fully elucidated.Recent studies show that on the one hand,in the lung with VILI,there exists airway collapse at multi-sites of an individual airway,which can not be explained by traditional airway collapse models.But on the other hand,under MV conditions,airway smooth muscle cells(ASMC)exhibit abnormal mechanical behaviors,accompanied by regulation of Piezo1 expression and endoplasmic reticulum stress.These phenomenons indicate that the MV-induced abnormal mechanical behavior of ASMC is closely related to multiple airway collapse and VILI.Therefore,by studying the MV-induced changes of ASMC mechanical behaviors and their relationship with airway collapse in lung injury,as well as the related mechanochemical signal coupling process,it is expected to reveal a novel mechanism of MV-associated airway collapse and lung injury from the perspective of cell mechanics.In this review,the recent research progress of airway collapse during MV,the regulation of ASMC mechanical behavior by MV-related high stretch,especially the related mechanochemical signal coupling mechanism is summarized.These advances may provide a novel insight for exploring the roles of ASMC abnormal mechanical behavior in the pathological mechanism of VILI,alternative targets of drug intervention for prevention and treatment of VILI,as well as for optimizing the ventilation mode in clinical practice.