A long-acting feline ω-interferon fusion protein(FSA-FeIFNω)was designed and its bio-logical function validated.According to the optimization of the sequence of feline serum albumin and feline ω interferon in NCBI,the recombinant plasmid pET-30a(+)-FSA-FeIFNω was con-structed,which was transformed into E.coli BL21(DE3)competent cells,the expression of re-combinant protein FSA-FeIFNω was induced by IPTG,and the expressed inclusion body protein was identified by Western blot,the refolding product was purified by Ni-NTA affinity chromatog-raphy,and the concentration of dialysis and concentrated protein after purification was determined by BCA method.The antiviral activity of recombinant protein was detected by micro-cytopathic in-hibition method in the CRFK/VSV system,the in vitro half-life was detected by 50％mouse plas-ma method,the tumor cell proliferation inhibition activity was detected by MTT method,and anti-tumor activity was detected by mouse melanoma model.The pET-30a(+)-FeIFNω and pET-30a(+)-FSA-FeIFNω expression vectors were successfully constructed,and 87 kDa recombinant FSA-FeIFNω protein was obtained in E.coli,with a purified protein purity of 95％,with a concen-tration of 1 g/L,and the biological activity was 2.56 × 106 IU/mg,the plasma half-life was significantly prolonged(＞24 h),and the half-inhibitory concentration IC50 of B16-F10 in mouse melanoma cells was 56.01 mg/L.The FSA-FeIFNω group significantly inhibited tumor growth,and the treatment effect was better than that of the control group and other experimental groups.The recombinant FSA-FeIFNω protein obtained in this study had long-acting effect and good biological activity.

To develop a novel immunocastration vaccine for animals,researchers designed and syn-thesized the recombinant plasmid pET-30a-SF which could express the recombinant protein SF.This protein was then conjugated in vitro with the synthetic peptide STGP to prepare the SF-STGP nanoparticle vaccine,and its immunocastration effect on mice was studied.The Spy Catcher and ferritin amino acid sequences were connected via GGGGS,and after codon optimization for E.coli,the recombinant plasmid pET-30a-SF was constructed and transformed into E.coli for in-duced expression.The recombinant protein SF was purified using Ni-column affinity chromatogra-phy and characterized.The peptide STGP,composed of Spy Tag,GnRH,and PADRE connected by GGGS,was conjugated with the recombinant protein SF in vitro.The self-assembled nanoparticles were observed using transmission electron microscopy(TEM)and dynamic light scattering(DLS).The prepared SF-STGP nanoparticles were mixed with MONTANIDE ISA 206 VG at a 1∶1 ratio to form the vaccine,which was then subcutaneously injected into male BALB/c mice for immunocastration evaluation.The recombinant protein SF showed the highest soluble expression when induced at 18 ℃ with 0.25 mmol/L IPTG for 14 h,and the maximum conjugation efficiency with STGP was achieved at a 1∶8 molar ratio.TEM and DLS analyses revealed that both the re-combinant protein SF and SF-STGP could self-assemble into nanoparticles with average diameters of 16.2 nm and 17.8 nm,respectively.Mouse immunization results demonstrated that the SF-STGP nanoparticle vaccine generated specific GnRH antibodies after the first immunization,with the spe-cific antibody D45o reaching its peak at the 10 th week.The SF-STGP+ISA 206 immunization group showed a peak D450 value of 2.8,and the specific antibody levels in all immunization groups were significantly higher than those in the control group(P＜0.05).Additionally,the SF-STGP nanoparticle vaccine effectively reduced serum testosterone levels in mice,with the testosterone concentration in the immunization groups being significantly lower than that in the control group(P＜0.05).Compared to the control group,the immunization group exhibits testicular atrophy.The constructed SF-STGP nanoparticle vaccine proves to be a highly effective immunogen,capable of inducing testicular atrophy and reducing gonadal hormone concentrations,demonstrating excellent castration effects.This study provides new insights into immunocastration vaccines for mammals.

OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Background: Hypertension is a major risk factor for cardiovascular diseases, including AF, which is one of the most common cardiac arrhythmias globally. AF is strongly associated with an increased risk of stroke, heart failure (HF), and cardiovascular mortality. Although intensive blood pressure lowering has been shown to reduce adverse cardiovascular events, its effect on the risk of AF remains debated. Some studies suggest a beneficial effect, whereas others are inconclusive. Therefore, a comprehensive review and meta-analysis are needed to clarify these effects. Objective: This study aims to evaluate the impact of intensive blood pressure lowering on the incidence of atrial fibrillation (AF) in hypertensive patients. Methods: We performed a systematic review and meta-analysis by searching PubMed, EMBASE, Scopus, Web of Science, and the Cochrane Library up to September 2, 2024, for randomized controlled trials comparing intensive blood pressure lowering with standard treatment in hypertensive patients. Studies were included if participants were 40 year or older with systolic blood pressure between 130 and 180 mm Hg (1 mm Hg≈0.133 kPa). Data extraction was conducted by 2 independent researchers, and statistical analysis was performed using Review Manager (RevMan) 5.4. Risk ratios (RRs) and 95% confidence intervals (CIs) were calculated. A random-effects model was applied if heterogeneity was detected (I > 50%). Results: A total of 6 randomized controlled trials involving 34,824 participants were included in the analysis. Intensive blood pressure lowering significantly reduced the risk of new-onset AF compared with standard treatment (RR = 0.76, 95% CI = 0.62-0.93, p < 0.01, I = 0%). Reductions were also observed in stroke (RR = 0.71, 95% CI = 0.58-0.87, p < 0.005, I = 7%), HF (RR = 0.67, 95% CI = 0.45-0.99, p = 0.05, I = 53%), and nonfatal coronary events (RR = 0.80, 95% CI = 0.70-0.92, p < 0.005, I = 39%). However, intensive blood pressure lowering had no significant effect on cardiovascular mortality or all-cause mortality compared with standard treatment. Discussion: Intensive blood pressure lowering significantly reduces the risk of AF and other cardiovascular events, such as stroke, HF, and nonfatal coronary events, particularly among high-risk hypertensive patients. These findings support the potential benefits of intensive blood pressure management in reducing AF incidence and improving overall cardiovascular outcomes, but the evidence is limited.

To develop a novel immunocastration vaccine for animals,researchers designed and syn-thesized the recombinant plasmid pET-30a-SF which could express the recombinant protein SF.This protein was then conjugated in vitro with the synthetic peptide STGP to prepare the SF-STGP nanoparticle vaccine,and its immunocastration effect on mice was studied.The Spy Catcher and ferritin amino acid sequences were connected via GGGGS,and after codon optimization for E.coli,the recombinant plasmid pET-30a-SF was constructed and transformed into E.coli for in-duced expression.The recombinant protein SF was purified using Ni-column affinity chromatogra-phy and characterized.The peptide STGP,composed of Spy Tag,GnRH,and PADRE connected by GGGS,was conjugated with the recombinant protein SF in vitro.The self-assembled nanoparticles were observed using transmission electron microscopy(TEM)and dynamic light scattering(DLS).The prepared SF-STGP nanoparticles were mixed with MONTANIDE ISA 206 VG at a 1∶1 ratio to form the vaccine,which was then subcutaneously injected into male BALB/c mice for immunocastration evaluation.The recombinant protein SF showed the highest soluble expression when induced at 18 ℃ with 0.25 mmol/L IPTG for 14 h,and the maximum conjugation efficiency with STGP was achieved at a 1∶8 molar ratio.TEM and DLS analyses revealed that both the re-combinant protein SF and SF-STGP could self-assemble into nanoparticles with average diameters of 16.2 nm and 17.8 nm,respectively.Mouse immunization results demonstrated that the SF-STGP nanoparticle vaccine generated specific GnRH antibodies after the first immunization,with the spe-cific antibody D45o reaching its peak at the 10 th week.The SF-STGP+ISA 206 immunization group showed a peak D450 value of 2.8,and the specific antibody levels in all immunization groups were significantly higher than those in the control group(P＜0.05).Additionally,the SF-STGP nanoparticle vaccine effectively reduced serum testosterone levels in mice,with the testosterone concentration in the immunization groups being significantly lower than that in the control group(P＜0.05).Compared to the control group,the immunization group exhibits testicular atrophy.The constructed SF-STGP nanoparticle vaccine proves to be a highly effective immunogen,capable of inducing testicular atrophy and reducing gonadal hormone concentrations,demonstrating excellent castration effects.This study provides new insights into immunocastration vaccines for mammals.

A long-acting feline ω-interferon fusion protein(FSA-FeIFNω)was designed and its bio-logical function validated.According to the optimization of the sequence of feline serum albumin and feline ω interferon in NCBI,the recombinant plasmid pET-30a(+)-FSA-FeIFNω was con-structed,which was transformed into E.coli BL21(DE3)competent cells,the expression of re-combinant protein FSA-FeIFNω was induced by IPTG,and the expressed inclusion body protein was identified by Western blot,the refolding product was purified by Ni-NTA affinity chromatog-raphy,and the concentration of dialysis and concentrated protein after purification was determined by BCA method.The antiviral activity of recombinant protein was detected by micro-cytopathic in-hibition method in the CRFK/VSV system,the in vitro half-life was detected by 50％mouse plas-ma method,the tumor cell proliferation inhibition activity was detected by MTT method,and anti-tumor activity was detected by mouse melanoma model.The pET-30a(+)-FeIFNω and pET-30a(+)-FSA-FeIFNω expression vectors were successfully constructed,and 87 kDa recombinant FSA-FeIFNω protein was obtained in E.coli,with a purified protein purity of 95％,with a concen-tration of 1 g/L,and the biological activity was 2.56 × 106 IU/mg,the plasma half-life was significantly prolonged(＞24 h),and the half-inhibitory concentration IC50 of B16-F10 in mouse melanoma cells was 56.01 mg/L.The FSA-FeIFNω group significantly inhibited tumor growth,and the treatment effect was better than that of the control group and other experimental groups.The recombinant FSA-FeIFNω protein obtained in this study had long-acting effect and good biological activity.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective The aim of this study was to investigate the prospective association between physical activity (PA),independently or in conjunction with other contributing factors,and osteoporosis (OP) outcomes. Methods The Physical Activity in Osteoporosis Outcomes (PAOPO) study was a community-based cohort investigation. A structured questionnaire was used to gather the participants' sociodemographic characteristics. Bone mineral density (BMD) measurements were performed to assess OP outcomes,and the relationship between BMD and OP was evaluated within this cohort. Results From 2013 to 2014,8,471 participants aged 18 years and older were recruited from Tangshan,China's Jidong community. Based on their PA level,participants were categorized as inactive,moderately active,or very active. Men showed higher physical exercise levels than women across the activity groups. BMD was significantly higher in the very active group than in the moderately active and inactive groups. Individuals aged>50 years are at a higher risk of developing OP and osteopenia. Conclusion The PAOPO study offers promising insights into the relationship between PA and OP outcomes,encouraging the implementation of PA in preventing and managing OP.