By reviewing the physical biological research on the activation of acupoint effects by acupuncture， this paper explains the activation mechanism from the perspective of the generation and transmission of mechanical signals caused by acupuncture， and reveals the physical-chemical coupling processes in the acupoint microenvironment. Future research should focus on locally mechanosensitive cells， further exploring how acupuncture mechanical signals trigger dynamic changes in cells and molecules in the acupoints， and the physical-chemical information transduction mechanism， which will provide scientific evidence for the acupoint activation during acupuncture. Related studies will contribute to a deeper understanding of the scientific principles behind acupuncture and promote its clinical application and development.

Background: Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder. Cellular drug screening represents a key approach in the preclinical discovery of AD therapeutics. Moreover, selecting an appropriate cellular model is essential for exploring the mechanisms underlying AD pathogenesis. Objective: This study aimed to establish a progressive strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery for the development of novel therapeutics targeting AD. Methods: A novel AD12 cell line stably expressing the double-transgenic genes amyloid precursor protein (APP)695/presenilin 1(PS1)-ΔE9 was first constructed and subjected to lipopolysaccharide (LPS) stimulation. The resulting LPS-induced neuroinflammatory response was characterized using metabolomic analysis. Subsequently, 16 alkaloids derived from traditional Chinese medicine(TCM) were screened with the LPS-AD12 cell model. Molecular docking was then performed to assess the binding affinity of benzoylaconitine (BAC) with APP and PS1 proteins. A targeted metabolomics approach focusing on amino acids and the tricarboxylic acid (TCA) cycle was applied to BAC-treated LPS-AD12 cells. Finally, aconite extract was administered to five-familial-AD-mutations(5xFAD) transgenic mice, and therapeutic efficacy was evaluated through phenotypic and metabolomic analyses. Results: LPS stimulation induced neuroinflammation in AD12 cells, characterized by elevated levels of interleukin-6, amyloid-β (Aβ ), and PS1. The primary metabolic pathways affected in AD12 cells included alanine, aspartate, and glutamate metabolism, as well as arginine biosynthesis. Notably, BAC significantly reduced the levels of Aβ and interleukin-6 in LPS-AD12 cells. Furthermore, molecular docking analyses revealed a strong binding affinity of BAC with APP and PS1 proteins. Targeted metabolomics analysis indicated that the pharmacological activity of BAC was primarily associated with its anti-inflammatory effects, modulation of the cholinergic signaling pathway, and regulation of energy metabolism. Behavioral experiments in 5xFAD mice, together with immunofluorescence assessments of brain tissues (amyloid-β, glial fibrillary acidic protein, and ionized calcium-binding adapter molecule 1), demonstrated that aconite extract treatment significantly alleviated AD-related symptoms. In addition, metabolomics-based mechanistic analyses revealed that serine, acetylcholine, ornithine, and gamma-aminobutyric acid exhibited consistent trends in both brain tissue and serum samples from treated mice. Conclusion: This study established a novel AD12 cell model and an effective, reliable LPS-induced cell-based screening system. Additionally, we proposed a new drug discovery strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery. This screening system has the potential to accelerate the identification of anti-AD agents and provides a feasible framework for subsequent in-depth investigations into new drug development from TCM, thereby contributing to the modernization of TCM-derived therapeutics.

Since the beginning of the 21st century, the severe respiratory infectious diseases worldwide [such as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza A H1N1 and novel coronavirus infection have attracted wide attention from all walks of life due to their superior pathogenicity and transmissibility. Aerosols-carrying pathogens are the main transmission route of many severe respiratory infectious diseases, which can lead to severe respiratory failure and even acute respiratory distress syndrome (ARDS) in infected individuals. Mechanical ventilation is the primary treatment for ARDS, and the small tidal volume, appropriate level of positive end-expiratory pressure based lung protective ventilation strategy can effectively reduce the incidence of ventilator-induced lung injury (VILI). However, in the process of clinical treatment, it is sometimes necessary to briefly disconnect the connection between the artificial airway and the ventilator circuit, which will not only cause the residual aerosol in the respiratory system to spill out and pollute the surrounding environment, increase the risk of nosocomial infection including medical staff, but also interfere with the implementation of lung protective ventilation strategy and aggravate ventilator-induced lung injury. In addition, studies have shown that a lot of medical staff have nosocomial infections, especially staff involved in tracheal intubation, extubation and other airway related operations. In addition to enhancing personal protective measures, it is crucial to safeguard healthcare workers from aerosol contamination and minimize associated risks during airway management. At present, there are few researches on the temporary sealing of airway lines and ventilator system, and there is a lack of clear guidance. This review summarizes the research status in related fields to provide a reference for corresponding solutions and programs.
Humans ; Respiratory Distress Syndrome/etiology* ; Respiration, Artificial ; Ventilator-Induced Lung Injury/prevention & control* ; Severe Acute Respiratory Syndrome ; COVID-19 ; Clinical Relevance

Objective:To investigate the role and possible mechanism of tripartite motif-containing protein 72 (Trim72) in acute viral myocarditis (AVMC) in mice.Methods:A mouse model of AVMC was established by intraperitoneal injection of Coxsackievirus B3 (CVB3, 2.0 × 10 5 PFU/mouse). Forty mice were randomly divided into the negative control (NC) + phosphate-buffered saline (PBS) group (NC+PBS group), Trim72 overexpression + PBS group (Trim72 + PBS group), NC + CVB3 group, and Trim72 + CVB3 group ( n = 10). Fourteen days before modeling, mice in each group were injected with adeno-associated virus type 9 vector (AAV9) encoding either negative control or Trim72 overexpression (5.0 × 10 11 VG/mouse) via tail vein. Subsequently, PBS or CVB3 was injected intraperitoneally in the PBS and CVB3 groups, respectively. After seven days, the surviving mice were euthanized, and the heart and serum samples were collected. HE and TUNEL staining were used to observe the cardiac pathological changes and cardiomyocyte apoptosis, respectively. The mRNA expression levels of Trim72 and pro-inflammatory cytokines TNF-α, IL-6, and IL-1β in myocardial tissues of each group were detected by RT-qPCR. The protein levels of cTnI, TNF-α, IL-6, and IL-1β in serum were detected by ELISA. The expression levels of Trim72, apoptosis-related proteins (Bax, Bcl-2, Cleaved caspase-3, Caspase-3), TLR4, p-p65, and p65 were detected by Western blot. Results:The protein and mRNA expression levels of Trim72 in myocardial tissues of mice in the NC+CVB3 group were significantly downregulated compared with those in the NC + PBS group ( P<0.05). Compared with the NC + CVB3 group, Trim72 overexpression significantly increased the protein and mRNA expression of Trim72 in myocardial tissues ( P<0.05), ameliorated myocardial inflammatory injury, decreased the apoptotic index of cardiomyocytes ( P<0.05), and reduced the levels of pro-inflammation cytokines TNF-α, IL-6, and IL-1β in the myocardium and serum ( P<0.05). Additionally, Trim72 overexpression also downregulated the protein expression of Bax, Cleaved caspase-3/Caspase-3, TLR4, and p-p65, and upregulated the protein expression of Bcl-2 in myocardial tissues ( P<0.05). There was no significant difference in the indexes of mice between the NC + PBS and Trim72 + PBS groups ( P>0.05). Conclusions:Trim72 overexpression attenuates AVMC in mice by inhibiting myocardial inflammatory injury and apoptotic imbalance, and the mechanism may be related to the negative regulation of the TLR4/NF-κB signaling pathway.

Objective This study applies Roy adaptation theory to deeply explore the experience of food avoid-ance behavior in patients with inflammatory bowel disease(IBD),offering insights for developing dietary management strategies.Methods A descriptive qualitative research method was employed.By purposive sampling,24 IBD pa-tients hospitalized in the gastroenterology department of a tertiary hospital in Nanjing from July 2022 to December 2024 were selected for semi-structured interviews.Data were analyzed using a directed content analysis approach.Results This study identified 4 main themes and 11 sub-themes,encompassing overattribution leading to inappro-priate avoidance(recurrent symptoms triggering overattribution,disease staging triggering inappropriate avoidance),negative self-perception leading management struggles(illness fear diminishing self-efficacy,disease trauma eroding self-identity,knowledge deficiency constraining self-determination),functional impairment intensifying role challenges(role internalization undermining social function,social roles relinquishing dietary management),and external con-straints amplifying practical difficulties(family and friend oversight heightening dietary stress,healthcare gaps foster-ing practical helplessness,traditional beliefs restricting dietary exploration,economic hardship limiting balanced nu-trition).Conclusion The interplay of overattribution,negative self-perception,functional impairment,and external constraints in IBD patients hinders their ability to adapt to disease fluctuations,ensnaring them in the adaptive predicament of food avoidance behavior.Healthcare professionals should comprehensively address these factors by fostering accurate perceptions,enhancing psychological support,guiding effective coping strategies,and optimizing ex-ternal resources,thereby improving patients' overall adaptive capacity and promoting their recovery.

Objective To investigate the factors influencing the natural outcome of low-grade squamous intraepithelial lesions(LSIL)of the cervix.Methods A total of 154 patients who underwent colposcopic cervical biopsy in the Third Affiliated Hospital of Zhengzhou University from January 2022 to January 2023 were selected and divided into negative conversion group(55 cases),continuous group(70 cases)and upgraded group(29 cases)according to the follow-up results.Logistic regression was used to analyze the influence of related factors on the outcome of LSIL.Results There were statistically significant differences in the number of vaginal births,the results of thin-prep cytology test,human papilloma virus(HPV)typing,whether vaginal LSIL was combined,whether there were symptoms,and vaginal microecology among three groups(P＜0.05).Multivariate Logistic analysis showed that combined vaginal LSIL,vaginal microecological abnormalities,atypical squamous cell-cannot exclude high-grade squamous intraepithelial lesion(ASC-H)/high-grade squamous intraepithelial lesion(HSIL),HPV 16/18 positive or mixed positive were independent risk factors for persistent infection(P＜0.05),combined vaginal LSIL,symptomatic,vaginal microecological abnormalities,ASC-H/HSIL,HPV 16/18 positive or mixed positive were all independent risk factors for escalation of lesions(P＜0.05).Conclusion Patients with vaginal LSIL,vaginal microecological abnormalities,ASC-H/HSIL,HPV 16/18 positive or mixed positive should be followed up and early intervention to reduce the risk of disease escalation.

Objective To explore the feasibility and safety of fastest recovery after surgery(FRAS)in laparoscopic surgery of gastrointestinal tumors.Methods The clinical data of patients undergoing laparoscopic surgery for gastrointestinal tumors under FRAS and enhanced recovery after surgery(ERAS)from Jan.2023 to May 2024 were collected,and perioperative safety and medical cost were analyzed.Results A total of 87 patients were enrolled,including 43 in the FRAS group and 44 in the ERAS group.Compared with the ERAS group,the FRAS group had significantly shorter surgical time(3.0[2.5,3.5]h vs 3.0[2.5,4.0]h),first postoperative movement time([2.85±4.29]h vs[20.18±6.13]h),first postoperative oral feeding time(2.0[2.0,3.0]h vs 24.0[15.0,48.0]h),postoperative hospital stay(24.0[20.0,40.0]h vs 192.0[150.0,216.0]h),lower hospitalization costs(50 515.61[46 650.44,56 827.12]yuan vs 65 555.09[58 683.21,86 239.02]yuan),and lower medication costs(2 671.09[2 063.31,3 127.09]yuan vs 7 326.90[5 104.66,10 674.26]yuan)(all P＜0.05).Conclusion It is safe and feasible to use FRAS during the perioperative period of laparoscopic radical gastrectomy for gastrointestinal tumors,and FRAS can also reduce the costs of hospitalization and medications.

Peptide-drug conjugates (PDCs) have emerged as a promising modality in precision oncology, enabling targeted delivery of cytotoxic payloads while minimizing off-target toxicity. The integration of covalent warheads, such as those based on sulfur(VI) fluoride exchange (SuFEx) chemistry, enhances drug-target residence time and tumor accumulation. However, existing screening methods for covalent peptide (CP) libraries require post-translational warhead conjugation, limiting throughput. Here, we present an integrated mRNA display platform that incorporates covalent warheads during ribosomal synthesis, enabling efficient screening of ultra-diverse covalent macrocyclic peptide libraries (>10¹³ variants). This approach, using site-specific incorporation of N-chloroacetyl-d-phenylalanine and fluorosulfate-l-tyrosine, accelerated the discovery of irreversibly binding (K _i = 3.58 μmol/L) Nectin-4-targeting peptide CP-N1-N₃ via proximity-triggered SuFEx. The peptide was further conjugated to cytotoxic payloads, yielding the covalent PDC CP-N1-MMAE with potent cytotoxicity (IC₅₀ ≈ 43 nmol/L) against MDA-MB-468 cells. This platform establishes a new paradigm for precision covalent drug discovery.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.