Objective To prepare a thermosensitive hydrogel scaffold loaded with bone marrow mesenchymal stem cells（BMSCs） and resveratrol liposomes （RSV-LIP） to form a therapeutic unit and evaluate its treatment efficacy for traumatic brain injury （TBI）. Methods BMSCs were extracted from rats, and RSV-LIP was prepared and characterized. Cell models were constructed to investigate the pharmacological effects of BMSCs combined with RSV-LIP. BMSCs and RSV-LIP were then loaded into the hydrogel, and a TBI mouse model was established to evaluate the therapeutic effects of the hydrogel. Results The RSV-LIP had a particle size of 127.8 nm, a Zeta potential of −4.9 mV, an encapsulation efficiency of 78.50%, and a drug loading content of 2.37%. Live-dead staining indicated good biocompatibility of the hydrogel. The combination of BMSCs and RSV-LIP significantly inhibited TNF-α and reduced ROS levels, promoting cell migration in scratch assays. Compared to the control group, the hydrogel group showed significantly lower mNSS scores （P<0.01）, higher hanging scores （P<0.001）, and reduced stepping errors （P<0.001）. Conclusion The combination of BMSCs and RSV-LIP exhibited antioxidative stress, anti-inflammatory, and neurogenic cell migration-promoting effects. When loaded into a hydrogel scaffold and locally implanted, it could improve the motor and sensory functions in TBI mice.

ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.

6-gingerol, a bioactive compound from ginger, has demonstrated promising anticancer properties across various cancer models by inducing apoptosis and inhibiting cell proliferation and invasion. In this study, we explore its mechanisms against glioblastoma multiforme (GBM), a notably aggressive and treatment-resistant brain tumor. We found that 6-gingerol crosses the blood-brain barrier more effectively than curcumin, enhancing its potential as a therapeutic agent for brain tumors. Our experiments show that 6-gingerol reduces cell proliferation and triggers apoptosis in GBM cell lines by disrupting cellular energy homeostasis. This process involves an increase in mitochondrial reactive oxygen species (mtROS) and a decrease in mitochondrial membrane potential, primarily due to the downregulation of manganese superoxide dismutase (MnSOD). Additionally, 6-gingerol reduces ERK phosphorylation by inhibiting EGFR and RAF, leading to G1 phase cell cycle arrest. These findings indicate that 6-gingerol promotes cell death in GBM cells by modulating MnSOD and ROS levels and arresting the cell cycle through the ERFR-RAF-1/MEK/ ERK signaling pathway, highlighting its potential as a therapeutic agent for GBM and setting the stage for future clinical research.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective:To summarize the clinical characteristics, treatment, and prognosis of children with anti-GT1a antibody-positive Guillain-Barré syndrome (GBS).Methods:A case series study was conducted, including 25 children diagnosed with serum anti-GT1a antibody-positive GBS at Guangzhou Women and Children′s Medical Center from March 2019 to December 2024. Clinical data, treatment protocols, and follow-up outcomes were analyzed. Mann Whitney U test was used to compare the changes in Hughes functional grading scale (HFGS). Results:A total of 25 children included 12 boys and 13 girls, and the age at first onset was (71±8) months. There were 16 children (64%) had preceding infections, and of which 13 children had predominantly respiratory tract infections. At disease peak, neurological manifestations included limb weakness (21 cases (84%)), bulbar palsy (13 cases (52%)), drowsiness (7 cases (28%)), limb pain (9 cases (36%)), ataxia (6 cases (24%)), respiratory muscle paralysis (5 cases (20%)), ophthalmoplegia (5 cases (20%)), and unilateral facial nerve palsy (4 cases (16%)). Cerebrospinal fluid analysis in 23 children revealed albuminocytological dissociation in 18 children. All 25 children underwent whole-spine magnetic resonance imaging (MRI), demonstrated spinal nerve root enhancement in 18 children, with leptomeningeal enhancement combined with spinal nerve root enhancement in 1 child. Electromyography in 16 children showed 15 children abnormality, of which demyelinating lesions in 8 children, mixed demyelinating-axonal changes in 4 children, and pure axonal involvement in 3 children. Intravenous immunoglobulin (IVIG) was administered to 21 cases (84%), of which 3 children required mechanical ventilation and blood purification (plasma exchange in 2 children and immunoadsorption in 1 child) due to disease progression. Four children (16%) received intravenous methylprednisolone (IVMP) instead of IVIG, with 1 child requiring ventilatory support due to respiratory muscle paralysis, and the tracheal tube was removed after continued sequential IVMP treatment. The hospitalization duration of 25 children was (23±3) d. At discharge, HFGS was 1.6 (0.6, 2.7) score. At a follow-up of 12 (4, 18) months, HFGS was 0.1 (0.0, 0.5) score, and higher than that at discharge ( Z=4.38, P<0.05). Two children relapsed but achieved remission after IVIG retreatment with no recurrence during 1-year follow-up. Conclusions:Anti-GT1a antibody-positive GBS in children predominantly presents with limb weakness and bulbar palsy, occasionally complicated by respiratory failure in the acute phase. Demyelinating neuropathy and spinal nerve root enhancement on MRI are characteristic. IVIG therapy yields favorable outcomes, with low residual disability. Relapses are rare but manageable with re-treatment.

This study aims to research the relationship between arterial stiffness and serum indirect bilirub in levels(IBIL)in patients with type 2 diabetes by measuring brachial-ankle pulse wave velocity (baPWV). The clinical data of 1 327 patients with T2DM admitted to Qingdao Huangdao District People′s Hospital from July 1st, 2018 to March 1st, 2024 were retrospectively and cross-sectionally analyzed (609 men and 718 women; age range, 45.3-79.5 years; median age, 60.3 years; mean age, 61.4 years). The subjects were stratified based on gender-specific quartiles of IBIL values(male, Q1:<6.7 μmol/L, Q2:6.7-8.9 μmol/L, Q3:8.9-12.3 μmol/L, Q4:≥12.3 μmol/L;female, Q1:<6.4 μmol/L, Q2:6.4-7.9 μmol/L, Q3:7.9-10.4 μmol/L, Q4:≥10.4 μmol/L), and a high baPWV was defined as greater than 18.37 m/s (75th percentile). The results showed that the serum IBIL concentration was negatively correlated with the duration of diabetes ( r=-0.142, P=0.010), the SBP ( r=-0.158, P=0.005) and the baPWV ( r=-0.194, P<0.001) in women and was positively correlated with TC (men: r=0.282, P<0.001; women: r=0.237, P<0.001), HDL-C (men: r=0.171, P=0.011; women: r=0.287, P<0.001) and LDL-C (men: r=0.196, P=0.009; women: r=0.233, P<0.001) levels in both genders. Dividing IBIL levels into quartiles, there were significant statistical differences in the incidence of high baPWV among different subgroups of female patients ( χ 2=36.468, P<0.001), and the incidence of high baPWV showed a decreasing trend with increasing IBIL levels. After adjusting for confounding factors, the IB levels were inversely associated with a greater risk of a high baPWV both as a continuous variable [a 1-SD difference; odds ratio ( OR):0.836; 95% confidence interval ( CI):0.774-0.942; P=0.009] and when categorized in quartiles (the highest vs. the lowest quartile; OR:0.381; 95% CI:0.162-0.897; P=0.025) in women but not in men. Low IBIL levels were significantly associated with arterial stiffness in middle-aged and elderly women with type 2 diabetes. In conclusion, the serum IBIL levels were independent protective factors for macrovascular disease in middle-aged and elderly diabetic women.

Objective:To investigate the mechanism of mitochondrial DNA (mtDNA)-reactive oxygen species (ROS)-dynamin-related protein 1 (Drp1) axis in regulating phenotypic transformation of vascular smooth muscle cells (VSMCs).Methods:(1) VSMCs were divided into a control group, a synthetic VSMCs group, and a Drp1 siRNA+synthetic VSMCs group; cells in the Drp1 siRNA+synthetic VSMCs group were transfected with 50 nmol/L Drp1 siRNA for 48 h; cells in the latter two groups were treated with 20 ng/mL platelet-derived growth factor (PDGF)-BB, while cells in the control group were treated with an equal volume of solvent. After another 24 h of culture, Drp1 expression in VSMCs, and mitochondrial Drp1 and mitofusin 2 (Mfn2) expressions were detected by Western blotting, and changes in mitochondrial morphology were detected by mitochondrial fluorescent staining. (2) VSMCs were divided into a control group, a synthetic VSMCs group, and a mitochondrial fission inhibitor 1 (Mdivi-1)+synthetic VSMCs group; cells in the Mdivi-1+synthetic VSMCs group were pretreated with 50 μmol/L Mdivi-1 for 2 h; and cells in the latter two groups were treated with 20 ng/mL PDGF-BB, while cells in the control group were treated with an equal volume of solvent. After 24 hours of continued culture, expressions of α-smooth muscle actin (α-SMA), smooth muscle protein 22-α (SM22-α), proliferating cell nuclear antigen (PCNA), and Cyclin D1 were detected by Western blotting; invasion and migration abilities of VSMCs were detected by Transwell assay and scratch wound healing assay, respectively. (3) VSMCs were divided into a control group, a synthetic VSMCs group, and a N-acetylcysteine (NAC)+synthetic VSMCs group; cells in the NAC+synthetic VSMCs group were pretreated with 5 mmol/L NAC for 1 h; cells in the latter two groups were treated with 20 ng/mL PDGF-BB, while cells in the control group were treated with an equal volume of solvent. After 24 h of continued culture, expressions of Drp1, phosphorylated (p)-Drp1, α-SMA, SM22-α, PCNA, and Cyclin D1 were detected by Western blotting; changes in mitochondrial morphology were detected by mitochondrial fluorescent staining; intracellular ROS level was detected by 2', 7' -dichlorodihydrofluorescein diacetate (DCFH-DA) fluorescent probe; cell invasion and migration abilities were detected by Transwell assay and scratch wound healing assay, respectively. (4) VSMCs were divided into a control group, a synthetic VSMCs group, and a 5-Aza-2'-deoxycytidine (5-Aza-dC)+synthetic VSMCs group; cells in the 5-Aza-dC+synthetic VSMCs group were pretreated with 2 μmol/L 5-Aza-dC for 1 h; and then, cells in the latter two groups were treated with 20 ng/mL PDGF-BB, while cells in the control group were treated with an equal volume of solvent. After 24 h of continued culture, agarose gel electrophoresis was used to analyze the methylation degree in the mitochondrial D-loop region; intracellular ROS level was detected using DCFH-DA fluorescent probe; expressions of mitochondrial DNMT1, α-SMA, SM22-α, PCNA, and Cyclin D1 were detected by Western blotting; invasion and migration abilities were detected by Transwell assay and scratch wound healing assay, respectively.Results:(1) Compared with the control group and synthetic VSMCs group, the Drp1 siRNA+synthetic VSMCs group had significantly decreased Drp1 protein expression ( P<0.05). Compared with the control group, the synthetic VSMCs group had significantly increased Drp1 protein expression and decreased Mfn2 protein expression in the mitochondria ( P<0.05); compared with the synthetic VSMCs group, the Drp1 siRNA+synthetic VSMCs group had statistically decreased Drp1 protein expression and increased Mfn2 protein expression in the mitochondria ( P<0.05). Results of mitochondrial fluorescent staining showed that mitochondria in the control group were with filamentous structure, while mitochondrial fission in the synthetic VSMCs group was enhanced, and morphology of mitochondria in the Drp1 siRNA+synthetic VSMCs group tended to be continuous and complete. (2) Compared with the control group, the synthetic VSMCs group had statistically decreased α-SMA and SM22-α protein expressions and increased PCNA and Cyclin D1 protein expressions ( P<0.05). Compared with the synthetic VSMCs group, the Mdivi-1+synthetic VSMCs group had significantly increased α-SMA and SM22-α protein expressions and decreased PCNA and Cyclin D1 protein expressions ( P<0.05). Results of Transwell and scratch wound healing assays showed that compared with the control group, the synthetic VSMCs group had larger number of migrating cells and faster cell scratch healing; compared with the synthetic VSMCs group, the Mdivi-1+synthetic VSMCs group had smaller number of migrating cells and slower cell scratch healing. (3) Compared with the control group (1.10±0.02), the synthetic VSMCs group (1.53±0.02) had significantly increased p-Drp1 protein expression ( P<0.05). Compared with the synthetic VSMCs group, the NAC+synthetic VSMCs group (0.90±0.02) had statistically decreased p-Drp1 protein expression ( P<0.05). Results of mitochondrial fluorescent staining showed that mitochondria in cells of the control group were in a filamentous structure, while mitochondrial fission in cells of the synthetic VSMCs group was enhanced, and morphology of mitochondria in the NAC+synthetic VSMCs group tended to be continuous and complete. Results of DCFH-DA fluorescent probe showed that ROS level in the synthetic VSMCs group was higher than that in the control group, and ROS level in the NAC+synthetic VSMCs group was lower than that in the synthetic VSMCs group. Compared with the control group, the synthetic VSMCs group had significantly decreased α-SMA and SM22-α protein expressions and increased PCNA and Cyclin D1 protein expressions ( P<0.05). Compared with the synthetic VSMCs group, the NAC+synthetic VSMCs group had significantly increased α-SMA and SM22-α protein expressions and decreased PCNA and Cyclin D1 protein expressions ( P<0.05). Results of Transwell and scratch wound healing assays showed that compared with the control group, the synthetic VSMCs group had larger number of migrating cells and faster cell scratch healing; compared with the synthetic VSMCs group, the NAC+synthetic VSMCs group had smaller number of migrating cells and slower cell scratch healing. (4) Results of agarose gel electrophoresis showed that compared with the control group, the synthetic VSMCs group had significantly increased methylation rate in the mitochondrial D-loop region ( P<0.05); compared with the synthetic VSMCs group, the 5-Aza-dC+synthetic VSMCs group had statistically decreased methylation rate in the mitochondrial D-loop region ( P<0.05). Compared with the control group, the synthetic VSMCs group had statistically increased mitochondrial DNMT1 protein expression (1.03±0.03 vs. 0.55±0.03, P<0.05); and compared with the synthetic VSMCs group, the the 5-Aza-dC+synthetic VSMCs group (0.62±0.03) had significantly decreased mitochondrial DNMT1 protein expression ( P<0.05). Results of DCFH-DA fluorescent probe showed that ROS level in the synthetic VSMCs group was higher than that in the control group; ROS level in the 5-Aza-dC+synthetic VSMCs group was lower than that in the synthetic VSMCs group. Compared with the control group, the synthetic VSMCs group had significantly decreased α-SMA and SM22-α protein expressions and increased PCNA and Cyclin D1 protein expressions ( P<0.05). Compared with the synthetic VSMCs group, the 5-Aza-dC+synthetic VSMCs group had significantly increased α-SMA and SM22-α protein expressions and decreased PCNA and Cyclin D1 protein expressions ( P<0.05). Results of Transwell and scratch wound healing assays showed that compared with the control group, the synthetic VSMCs group had larger number of migrating cells and faster scratch healing. Compared with the synthetic VSMCs group, the 5-Aza-dC+synthetic VSMCs group had smaller number of migrating cells and slower scratch healing. Conclusion:The mtDNA-ROS-Drp1 axis may regulate the phenotypic transformation of VSMCs by modulating mitochondrial epigenetic modifications.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Traumatic brain injury (TBI) is intricately linked to the most severe clinical manifestations of brain damage. It encompasses dynamic pathological mechanisms, including hemodynamic disorders, excitotoxic injury, oxidative stress, mitochondrial dysfunction, inflammation, and neuronal death. This review provides a comprehensive analysis and summary of biomaterial-based tissue engineering scaffolds and nano-drug delivery systems. As an example of functionalized biomaterials, nano-drug delivery systems alter the pharmacokinetic properties of drugs. They provide multiple targeting strategies relying on factors such as morphology and scale, magnetic fields, pH, photosensitivity, and enzymes to facilitate the transport of therapeutics across the blood-brain barrier and to promote selective accumulation at the injury site. Furthermore, therapeutic agents can be incorporated into bioscaffolds to interact with the biochemical and biophysical environment of the brain. Bioscaffolds can mimic the extracellular matrix environment, regulate cellular interactions, and increase the effectiveness of local treatments following surgical interventions. Additionally, stem cell-based and exosome-dominated extracellular vesicle carriers exhibit high bioreactivity and low immunogenicity and can be used to design therapeutic agents with high bioactivity. This review also examines the utilization of endogenous bioactive materials in the treatment of TBI.