ObjectiveTo explore the role of the histone deacetylase Sirtuin-1 （SIRT1）/p53 signaling pathway in promoting apoptosis of non-small cell lung cancer cells （NSCLC） induced by the co-stimulatory molecule B7 homolog 3 （B7-H3）. MethodsThe GEPIA 2 platform was used for survival analysis of NSCLC patients based on B7⁃H3 gene expression levels. The Gene Enrichment Analysis （GSEA） method was used to analyze the enrichment characteristics of B7⁃H3 molecules in the gene set of cell apoptosis. In the non-small cell lung cancer A549 cell line， B7⁃H3 was knocked down， and the protein expression levels of SIRT1 and p53 were detected by Western blot. B7⁃H3 was overexpressed in A549 cells and the apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. Overexpression of B7⁃H3 and knockdown of SIRT1 were performed in A549 cell line. The expression levels of p53 and apoptosis-related proteins B-cell lymphoma/leukemia-2 （Bcl-2） and Bcl-2-associated X protein （Bax） were detected respectively by Western blot. Cell apoptosis rate was analyzed by flow cytometry after Annexin V/PI double staining. ResultsThe overall survival of the B7-H3 high-expression group was significantly lower than that of the low-expression group （P<0.01）. B7-H3 was significantly enriched in the cell apoptosis signaling pathway and the p53 signaling pathway （P<0.05）. Compared with the control group， the expression of SIRT1 was significantly downregulated， and p53 was significantly upregulated in the B7⁃H3 knockdown group （both P<0.001）. Overexpression of B7-H3 significantly up-regulated SIRT1 protein expression （P<0.05）， down-regulated p53 expression （P<0.01）， and markedly increased the Bcl-2/Bax ratio of apoptosis-related proteins （P<0.001）. The results of Annexin V/PI double staining showed that the apoptosis rate of A549 cells with overexpressed B7⁃H3 decreased （the apoptosis rate of the control group was 26.72%±4.13%， while that of the B7⁃H3 overexpression group was 13.87%±0.82%； P<0.01）. In B7-H3-overexpressing cell lines， SIRT1 knockdown significantly reversed apoptosis （P<0.05）， up-regulated p53 protein expression （P<0.001）， and markedly reduced the Bcl-2/Bax ratio （P<0.001）. ConclusionB7-H3 molecule inhibits the apoptosis of non-small cell lung cancer cells via the SIRT1/p53 signaling pathway.

Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective To explore the acceptability of routine biochemical test results for serum samples with varying degrees of chylous high triglyceride(TG).Methods Blood samples of 69 patients with different degrees of lipids were collected,including 33 patients with mild to moderate lipids(1.7 mmol/L≤TG<5.6 mmol/L)and 36 patients with severe lipids(TG≥5.6 mmol/L).Twenty-nine biochemical tests were detected before and after high-speed centrifugation.The result acceptability before high speed centrifugation of serum was compared with the results after high speed centrifugation as the gold standard[TG and total cholesterol(TC)before centrifugation].The acceptable criteria were subject to the following three conditions at the same time.Firstly,correlation coefficient(R2)was greater than or equal to 0.95.Secondly,the slope of linear re-gression equation was 1.00±0.05.Thirdly,for the same index,the number of samples whose result bias be-fore and after centrifugation was less than 1/2 total allowable error(TEa)in more than 90%of the total sam-ple numbers.Results Firstly,in the mild to moderate lipemia group,22 tests met the criteria,7 tests did not,including total protein(TP),albumin(ALB),TG,aspartate aminotransferase(AST),carbon dioxide(CO2),α-L-fucosidase(AFU),lactate dehydrogenase(LDH)(bias<10%),and the coincidence rate was 75.9%.In the severe lipemia group,12 tests met the criteria,17 tests did not,including pre-albumin(PA),AFU,γ-glu-tamyltransferase(γ-GT),LDH,AST,TC,direct bilirubin(DBIL),CO2,5'-nucleotidase(5'-NT),small and low-density lipoprotein cholesterol(sd-LDL-C),high density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),adenosine deaminase(ADA),cystatin C(CysC),glycosylated albumin(GA),total bilirubin(TBIL)(bias>10%),the coincidence rate was 41.4%,and there was a statistically sig-nificant difference in the coincidence rate between the two groups(P<0.05).Secondly,there was no statisti-cally significant difference in the acceptability of results between continuous monitoring method and endpoint method detection methods(P>0.05).Conclusion Most test results of direct determination with mild or moderate lipemia samples are acceptable,and the bias of unacceptable tests is small(<10%),so it is recom-mended to issue a test report without further sample treatment.However,due to the large number of unacceptable tests and larger bias(>10%),severe lipemia samples should be determined after high-speed centrifugation.

Aim To explore the roles and mechanisms of long non-coding RNA(lncRNA)AC087388.1 and poly(A)binding protein cytoplasmic 1(PABPC1)in esophageal squamous cell carcinoma(ESCC).Meth-ods The expression level of AC087388.1 in ESCC tissues and cells was detected by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)and fluorescence in situ hybridization experiments and its clinical relevance was analyzed.Cell counting kit-8(CCK-8),clone formation,scratch and Transwell inva-sion assays were used to detect the effects of knock-down of AC087388.1 on the cell viability,prolifera-tion,migratory,and invasion of ESCC cells respectively ability,and sub-localization in cells.RNA pull down and Western blot experiments were employed to verify the interaction between AC087388.1 and PABPC1 in ESCC cells.Salvage experiments were performed to detect the effect of AC087388.1 targeting PABPC1 on ESCC cells.Results AC087388.1 was highly ex-pressed in ESCC tissues and cells and positively corre-lated with clinical stage of ESCC patients,mainly local-ized in cytoplasm.Knockdown AC087388.1 inhibited ESCC cell viability,proliferation,migration and inva-sionability.PABPC1 was selected from the results of RNA Pull Down-MS experiments for subsequent experi-ments,and AC087388.1 was verified to bind to PAB-PC1 by RNA Pull Down and Western blot experiments.Overexpression of AC087388.1 was verified by rescue experiment to reverse the effects of knockdown of PAB-PC1 on ESCC cell viability,proliferation,migration and invasion.Conclusions High expression of AC087388.1 correlates with clinical stage and may be a risk factor for ESCC progression.AC087388.1 pro-motes the cell viability,proliferation,migration and in-vasive ability of ESCC cells by targeting PABPC1,which may be a novel biomarker for the diagnosis and treatment of ESCC.

Objective To analyze differences of purified water,softened water,and concentrated softened water on the decontamination effects for surgical instruments,so as to provide a reliable reference for the selection of cleaning water for surgical instruments.Methods The physical and chemical indexes and components of concentrated softened water,softened water,and purified water were detected,and their cleaning effects for instrument were compared.The decontamination cleaning experiment was conducted in three hospitals with different types of cleaning water using mini cleaning machines,and the differences in the decontamination time were analyzed.The cleaning and decontamination experiments on contaminated instruments was performed using a spray cleaning and disinfection device,and the cleaning effects of instruments with different types of cleaning water were analyzed.Results Calcium content and hardness of the three types of cleaning water were all at a low level,which can avoid scale adhesion for cleaning surgical instruments.There were statistically significant differences in the pH value,conductivity,and contents of calcium,sodium and chloride among the three cleaning waters(P<0.05).The purified water was weakly acidic,and its conductivity,hardness,and contents of calcium,sodium and chloride were all at low levels.The softened water and concentrated softened water were weakly alkaline,with high levels of conductivity and sodium content and low level of chloride.There were statistically significant differences in the decontamination time of the purified water,softened water and concentrated softened water among hospitals(P<0.05).Under the same contamination condition of surgical instruments,there was a statistically significant difference in the qualified rate of instruments cleaning in the upper and lower cleaning baskets with different cleaning waters(P<0.05).Conclusion Concentrated softened water and softened water have high sodium content,and their decontamination and cleaning abilities are significantly stronger than those of the purified water.Purified water has poorer effects in instruments cleaning for its deionized property.Using concentrated softened water or softened water in the surgical instrument cleaning process can achieve effects of reducing consumption and increasing efficiency,which is conducive to improving cleaning efficiency and quality.

BACKGROUND:Polyurethane materials,with their outstanding physicochemical properties,present extensive opportunities in the realm of biomedical engineering.Biomimetic design and functional modification of polyurethane nerve conduits are expected to further address the challenges of nerve regeneration and repair.OBJECTIVE:To review the current status and advancements in the application of polyurethane-based nerve conduits in the field of peripheral nerve repair.METHODS:The Chinese and English search terms consisted of"polyurethane,PU,polyurethane material,polyurethane biomaterials,nerve regeneration,peripheral nerve injury,nerve repair,nerve scaffold,nerve guidance conduit,nerve conduits."The search was conducted in databases such as PubMed,Web of Science,CNKI(China National Knowledge Infrastructure),and WanFang for articles published from 2014 to 2024.Finally,61 articles were included in the review.RESULTS AND CONCLUSION:Biomimetic composition is an effective strategy for enhancing the biological activity of polyurethane nerve conduits.Through structural biomimicry,polyurethane nerve conduits can be optimized to provide biological guidance cues for neural tissue regeneration.The biomechanically biomimetic polyurethane nerve conduits are likely to play a significant role in immune modulation and the promotion of axonal growth.By optimizing the conductive microenvironment of polyurethane materials,the reconstruction of neural electrical signal pathways can be facilitated.Polyurethane nerve conduits can serve as drug carriers,exerting anti-inflammatory and neuroprotective effects.Although the combined application of multiple design strategies can improve various aspects of damaged nerve function,the complex structure and dynamically changing pathophysiological microenvironment of nerves mean that nerve conduit design strategies still require refinement.Future advancements and innovations in nerve biomimetic design strategies hold promise for providing new insights and opportunities in the field of neural tissue engineering.

Objective: Based on spinopelvic parameters and biomechanical principles, the pedicle-facet joint (PFJ) morphological characteristics of isthmic and degenerative spondylolisthesis were analyzed, and the mechanism of their onset and progression was discussed. Methods: This retrospective cross-sectional study included 194 patients with L5 spondylolysis or L5–S1 low-grade isthmic spondylolisthesis (IS group), 172 patients with L4–5 degenerative spondylolisthesis (DS group), and 366 patients with nonlumbar spondylolysis (NL group). The spinopelvic parameters and PFJ morphological parameters of the patients were measured, the differences in these parameters among and within the 3 groups were compared, and the correlations were analyzed. Results: Sacral slope (SS) and lumbar lordosis (LL) were the highest in the IS group, the second highest in the DS group, and the lowest in the NL group. Among the 3 groups, the L4 facet joint angle (FJA) was the largest in the IS group, the second largest in the NL group, and the smallest in the DS group. The L4 pedicle-facet joint angle (PFA) was the largest in the DS group, the second largest in the IS group, and the smallest in the NL group. Pearson correlation analysis showed that within each group, SS and LL were negatively correlated with FJA and positively correlated with PFA. Conclusion This study found a correlation between the PFJ morphological characteristics of patients with lumbar spondylolisthesis and spinopelvic parameters, suggesting that the morphological characteristics of PFJs may be caused by varying stresses under different spinopelvic morphologies.

OBJECTIVE: To elucidate the specific mechanisms by which electroacupuncture (EA) alleviates anxiety and fear behaviors associated with posttraumatic stress disorder (PTSD), focusing on the role of lipocalin-2 (Lcn2). METHODS: The PTSD mouse model was subjected to single prolonged stress and shock (SPS&S), and the animals received 15 min sessions of EA at Shenmen acupoint (HT7). Behavioral tests were used to investigate the effects of EA at HT7 on anxiety and fear. Western blotting and enzyme-linked immunosorbent assay were used to quantify Lcn2 and inflammatory cytokine levels in the prefrontal cortex (PFC). Additionally, the activity of PFC neurons was evaluated by immunofluorescence and in vivo electrophysiology. RESULTS: Mice subjected to SPS&S presented increased anxiety- and fear-like behaviors. Lcn2 expression in the PFC was significantly upregulated following SPS&S, leading to increased expression of the proinflammatory cytokines tumor necrosis factor-α and interleukin-6 and suppression of PFC neuronal activity. However, EA at HT7 inhibited Lcn2 release, reducing neuroinflammation and hypoexcitability in the PFC. Lcn2 overexpression mitigated the effects of EA at HT7, resulting in anxiety- and fear-like behaviors. CONCLUSION EA at HT7 can ameliorate PTSD-associated anxiety and fear, and its mechanism of action appears to involve the inhibition of Lcn2-mediated neural activity and inflammation in the PFC. Please cite this article as: Yang YD, Zhong W, Chen M, Tang QC, Li Y, Yao LL, et al. Electroacupuncture alleviates behaviors associated with posttraumatic stress disorder by modulating lipocalin-2-mediated neuroinflammation and neuronal activity in the prefrontal cortex. J Integr Med. 2025; 23(5):537-547.
Electroacupuncture ; Stress Disorders, Post-Traumatic/metabolism* ; Animals ; Lipocalin-2/metabolism* ; Prefrontal Cortex/physiopathology* ; Male ; Mice ; Neurons/physiology* ; Disease Models, Animal ; Fear ; Behavior, Animal ; Mice, Inbred C57BL ; Neuroinflammatory Diseases/metabolism* ; Anxiety/therapy* ; Acupuncture Points