Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

ObjectiveTo investigate whether intestinal deficiency of lanosterol synthase （LSS）， a key enzyme in cholesterol synthesis， influences the progression of metabolic dysfunction-associated steatotic liver disease （MASLD） by regulating intestinal cholesterol absorption and immune response. MethodsLSS heterozygous knockout （LSS^+/-） mice and wild-type （WT） controls were generated using CRISPR/Cas9 technology and fed either a high-fat diet （HFD） or regular chow （CHOW）. The model was validated by genotyping. Hepatic steatosis was assessed by HE and oil red O staining. Immunohistochemistry was used to detect the localization and expression of NPC1L1 and CD36 proteins in the intestine. Western blot analysis was performed to measure JNK phosphorylation and TLR4 protein levels in intestinal tissues. Real-time quantitative polymerase chain reaction （qPCR） was employed to examine the mRNA expression of TLR4 and IL-6. ResultsLSS^+/- mice were successfully validated by genotyping and reduced intestinal LSS protein expression. HE and oil red O staining of liver sections showed that， compared with WT mice fed a CHOW diet， WT mice fed a HFD exhibited a marked increase in hepatic lipid vacuoles. In contrast， compared with HFD-fed WT mice， HFD-fed LSS^+/- mice displayed significantly attenuated hepatic lipid deposition and reduced serum ALT levels （P<0.05）. Immunohistochemical analysis revealed that， compared with WT mice， the expression of the cholesterol absorption protein NPC1L1 in the intestinal villi of LSS^+/- mice was downregulated under both CHOW and HFD conditions （P_HFD<0.001）. Conversely， the expression of the fatty acid transporter CD36 was upregulated in the intestines of LSS^+/- mice （P_CHOW<0.05， P_HFD<0.01）. Western blot analysis demonstrated that， compared with WT mice， TLR4 protein expression in the intestines of LSS^+/- mice significantly increased under both CHOW and HFD conditions （both P<0.05）. JNK phosphorylation level was significantly elevated in LSS^+/- mice under CHOW condition （both P<0.05）. Under HFD condition， total JNK protein expression increased， but its phosphorylation level showed no significant change. qPCR analysis showed that， compared with WT mice， the mRNA levels of TLR4 （P_CHOW<0.01， P_HFD<0.000 1） and IL-6 （P_CHOW<0.001， P_HFD<0.01） were significantly upregulated in the intestines of LSS^+/-mice. ConclusionLSS deficiency counteracts hepatic lipid deposition by orchestrating a synergistic reprogramming involving restricted intestinal cholesterol absorption， enhanced fatty acid utilization， and activation of immune pathways， suggesting intestinal LSS as a potential therapeutic target of MASLD.

Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.

ObjectiveTo investigate the effects of Maimendong Yinzi （MMDYZ） on cough with Yin deficiency and lung heat syndrome and explore its potential mechanism of action. MethodsForty-eight Institute of Cancer Research （ICR） mice were randomly divided into a control group， a model group， a Baihe Gujin Tablet （BHGJP） group （1.36 g·kg^-1）， and low-dose， medium-dose， and high-dose MMDYZ groups （5， 10， 20 g·kg^-1·d^-1， based on the weight of crude drug）， with eight mice in each group. The mouse model of cough with Yin deficiency and lung heat syndrome was prepared by a combination of smoke exposure， nasal drip of lipopolysaccharide （LPS）， intragastric gavage with thyroxine， and capsaicin atomization. After successful modeling， drug interventions were administered for seven days. During modeling， the mice were observed for changes in general status， anal temperature， fecal water content， and water intake. After medication， the above indicators were evaluated again， along with assessments of spontaneous activity， cough sensitivity， lung function， lung index， and tracheal phenol red secretion. Bronchoalveolar lavage fluid （BALF） was analyzed for cell differential counts， and the level of cyclic adenosine monophosphate （cAMP）， cyclic guanosine monophosphate （cGMP）， tumor necrosis factor-α （TNF-α）， and interleukin-6 （IL-6） in serum was measured via enzyme linked immunosorbent assay （ELISA）. Lung injury was assessed via hematoxylin-eosin （HE） staining. Network pharmacology was employed to predict the potential mechanism of MMDYZ in alleviation cough with Yin deficiency and lung heat syndrome. Western blot （WB） was used to measure protease-activated receptor1 （PAR1） and GTPhase α_i subunit （Gα_i） protein expressions in lung tissue. ELISA was used to determine lung cAMP content， and immunohistochemistry （IHC） was employed to evaluate transient receptor potential vanilloid subtype 1 （TRPV1） expression. ResultsCompared with the control group， the model group exhibited significantly increased water intake and anal temperature and significantly decreased fecal water content （P<0.05）. The total distance traveled in 5 min and the central zone duration were reduced， while standing frequency significantly increased （P<0.05）. Cough sensitivity and enhanced pause （PenH） were elevated. Peak expiratory flow （PEF） significantly declined （P<0.05）. BALF neutrophil （NEU） and white blood cell （WBC） counts rose. Serum cAMP and cAMP/cGMP ratio significantly increased， and cGMP significantly decreased （P<0.05）. Serum TNF-α and IL-6 levels were significantly elevated （P<0.05）. The lung injury was obvious， and the lung index was significantly elevated （P<0.05）. Compared with the model group， the medium-dose and high-dose MMDYZ groups and the BHGJP group showed significantly improved indicators mentioned above. Additionally， network pharmacology suggested that MMDYZ might alleviate cough with Yin deficiency and lung heat syndrome via cAMP， hypoxia inducible factor-1 （HIF-1）， and TNF signaling pathways. WB， ELISA， and IHC revealed that， compared with the control group， the model group exhibited significantly upregulated PAR1， Gα_i， and TRPV1 expressions and significantly downregulated cAMP in lung tissue （P<0.05）. Compared with the model group， MMDYZ reduced PAR1 （P<0.01）， Gα_i （P<0.05）， and TRPV1 （P<0.01） while increasing cAMP level （P<0.01）. ConclusionMMDYZ may alleviate cough with Yin deficiency and lung heat syndrome by modulating the PAR1/Gα_i/cAMP pathway and TRPV1 expression.

To evaluate the application value of the Peyton four-step teaching method in the standardized training of intestinal ultrasound and compare it with traditional teaching methods, so as to provide an optimized approach for clinical ultrasound training.

ObjectiveTo investigate the effect of hypoxia on pemetrexed （PE）-mediated apoptosis in non-small cell lung cancer cells. MethodsA549 cells were cultured under 21% O₂ （normoxia） or 1% O₂ （hypoxia）， and treated with 8 μmol/L PE for 48 h. The cells were divided into normoxic control group， normoxic vehicle group， normoxic drug-treated group， hypoxic control group， hypoxic vehicle group and hypoxic drug-treated group. Trypan blue staining was used to observe cell death after PE intervention under normoxia and hypoxia. Flow cytometry was adopted to detect cell apoptosis rate. Wound healing assay was used to assess cell migration. Western blot was performed to detect the protein levels of MRP-1， Cleaved Caspase-3， E-Cadherin and N-Cadherin. ResultsTrypan blue staining results showed that the cell death rate was reduced in PE-treated cells under hypoxia compared with the normoxic PE group （P<0.001）. Flow cytometry results indicated that PE induced cell apoptosis under both normoxic and hypoxic conditions.However， the apoptosis rate of the normoxic PE group was significantly higher than that of the hypoxic PE group （P<0.000 1）. Wound healing assay showed that the migration distance of A549 cells decreased after PE treatment for 24 h and 48 h under normoxia and hypoxia when compared with the control group （P<0.05）， while no significant difference was found between the normoxic PE group and the hypoxic PE group. Western blot results revealed that MRP-1 expression was markedly higher in hypoxic PE-treated cells than in normoxic PE-treated cells （P<0.000 1）. Compared with the control group， Cleaved Caspase-3 expression was upregulated in A549 cells following PE intervention under normoxia （P<0.05）， whereas no obvious alteration in Cleaved Caspase-3 expression was detected in hypoxic PE-treated cells. Under both normoxic and hypoxic conditions， PE treatment downregulated the expression of E-Cadherin （P<0.000 1，P<0.001） and N-Cadherin （P<0.05，P<0.000 1）. In addition， the expression levels of E-Cadherin and N-Cadherin in the hypoxic PE group were significantly lower than those in the normoxic PE group （all P<0.000 1）. ConclusionHypoxia significantly attenuates the pro-apoptotic effect of PE on A549 cells and blocks Cleaved Caspase-3 activation. This mechanism may be related to hypoxia-induced MRP-1 overexpression and reduced drug accumulation. Interfering with MRP-1 or restoring the activity of the apoptosis pathway may serve as a novel strategy to overcome hypoxia-induced drug resistance.

Objective Neurological disorders,constitute the majority of acupuncture-treated ailments.By critically examining a comprehensive selection of high-quality clinical randomized controlled trials(RCTs)from both domestic and international sources,we aimed to uncover the prevailing hot research topic and potential future directions in acupuncture therapy for these conditions.Methods Four databases,including PubMed,Web of science,Cochrane Library and EMBASE were searched.The search period is set from the establishment of each database to November 30,2023.And the search content was RCTs of acupuncture for neurological diseases classified as Ⅰ and Ⅱ by the Chinese Academy of Sciences were extracted.Key aspects extracted included annual publication volume,journals,disease types,outcomes,conclusions,acupuncture methods and control groups.Results A total of 81 high-quality RCTs were identified,revealing a consistent annual publication trend of acupuncture for neurological disorders.Key journals contributing to this research were Cephalalgia,Clinical Rehabilitation and Clinical Journal Of Pain,etc.The studies predominantly focused on migraine and sequela of apoplexy with migraine days/frequency and Ashworth scale and its modifications as commonly used primary outcome indicators,respectively.Overall,there were 73 RCTs that concluded that acupuncture for neurologic disorders were effective,8 were ineffective.The acupuncture methods were diverse,encompassing acupuncture,individualized acupuncture and transcutaneous electrical nerve stimulation,etc.The control measures were also varied,featuring sham acupuncture,sham-acupoint and micro-needle,etc.Conclusion With the development of acupuncture RCTs,their international influence has expanded.Research has shifted from validation of effectiveness to exploration of mechanisms,and despite the expansion of the disease spectrum of acupuncture,acupuncture trials have yet to be regulated and standardized,and the assessment of acupuncture efficacy remains controversial and challenging for the discipline.It is recommended to promote multi-center cooperation and strengthen the training of trialists etc.to provide more high-quality clinical evidence.

Objective To investigate the research competency among undergraduate interns of rehabilitation therapy.Methods In July,2024,a total of 81 undergraduate rehabilitation therapy interns from Department of Rehabilitation Medicine,Guangdong Provincial People's Hospital were self-rated the research competency,using research com-petency and activities,level 1 of World Health Organization rehabilitation competency framework.Semi-struc-tured interviews were conducted to investigate the willingness and difficulties to participate in research.Results The self-rated competencies were the lowest in behavior of C2.3 Assists in assessing rehabilitation service user needs and priorities for research,and Activity of A2 Disseminating evidence.For interviews,72 students would participate in researches,primarily motivated by career advancement and postgraduate admission competition.The main difficulties included insufficient faculty mentorship(n=48),limitation in knowledge(n=43)and diffi-culties in formulating scientific questions(n=43).Conclusion Most rehabilitation therapy undergraduates would like to participate in researches,but are suboptimal in re-search competency due to personal and environmental constraints.

Purpose To explore the value of machine learning models based on synthetic MRI,dynamic contrast-enhanced MRI(DCE-MRI)and diffusion weighted imaging(DWI)parameters in identifying molecular subtypes of breast cancer.Materials and Methods A retrospective analysis was conducted on the data of 292 patients who underwent synthetic MRI,DCE-MRI and DWI examinations from September 2020 to September 2024 in Ningxia Medical University General Hospital before surgery and were pathologically confirmed to have breast cancer postoperatively.Patients were randomly divided into training and test sets using a ratio of 7:3.Multiple parameters were obtained from the synthetic MRI,DCE-MRI and DWI images.Variance analysis were used to screen the characteristic parameters among molecular subtype groups.Five machine learning models were established based on the selected characteristic parameters,and receiver operating characteristic curves were plotted to calculate the area under the curve among the molecular subtype groups.Results The support vector machine model exhibited the highest overall performance,with an area under the curve of 0.972,accuracy of 82.5％,specificity of 94.76％and sensitivity of 82.14％in the test set.This model's area under the curve values for differentiating luminal A,luminal B,human epidermal growth factor receptor-2 overexpression,and triple-negative groups in the training set were 0.979,0.925,0.971 and 0.982,respectively;in the test set,the area under the curve values were 0.973,0.873,0.956 and 0.955,respectively.Conclusion Machine learning models based on multimodal MRI parameters can assist clinicians in preoperatively determining the molecular subtypes of breast cancer and the support vector machine model shows relatively high comprehensive performance.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.