With the deep integration of artificial intelligence and medical technology,the application of surgical robot technology in the medical field has become increasingly widespread.While it has improved the precision and success rate of surgery,it also brings a series of legal risks,including privacy protection,liability allocation,and ethical issues.It provides a detailed analysis of the legal risks and causes of surgical robot clinical applications,and reveals the defects of the current legal framework through an analysis of the inadequacies of the current legal system and technical standards.

Reporting guidelines are structured checklists for researchers to follow when reporting spe-cific types of studies.As researches conducted in real-world settings to address practical issues,implementa-tion research has stringent requirements for the replicability of result and the transparency of reporting,making its reporting guidelines particularly important.This paper systematically introduces the reporting guidelines in the field of implementation science,outlines their classification systems and scopes of applica-tion,and focuses on explaining the core characteristics and functions of five key reporting guidelines,inclu-ding the Standards for Reporting Implementation Studies(StaRI),Reporting guidelines for implementation and operational research,the Template for Intervention Description and Replication(TIDieR),the Frame-work for Reporting Adaptations and Modifications-Enhanced(FRAME),and recommendations for specifying and reporting implementation strategies.Furthermore,combined with the PEDALs research paradigm in im-plementation science,this paper further clarifies the specific application pathways for reporting guidelines and discusses directions for refinement,aiming to provide references for researchers to select appropriate reporting guidelines.

Objective To explore the relationship between plasma insulin-like growth factor-binding protein 2(IGFBP2),secreted modular calcium-binding protein 2(SMOC2)levels and cardiac function and prognosis in patients with chronic heart failure(CHF).Methods A total of 120 CHF patients(the CHF group)and 60 healthy volunteers undergoing physical examination during the same period(the control group)were enrolled.CHF patients were classified according to the New York Heart Association(NYHA)functional classification into the class Ⅱ(46 cases)group,the class Ⅲ group(42 cases)and the class Ⅳ group(32 cases).Based on the 6-month prognosis,patients were further divided into the poor prognosis group(42 cases)and the good prognosis group(78 cases).Plasma IGFBP2 and SMOC2 levels were measured using enzyme-linked immunosorbent assay.The correlation between plasma IGFBP2 and SMOC2 levels with NYHA functional classification was analyzed using Spearman rank correlation.Multivariate unconditional Logistic regression was used to analyze the relationship between plasma IGFBP2 and SMOC2 levels and poor prognosis in CHF patients.The predictive efficacy of plasma IGFBP2 and SMOC2 levels for CHF prognosis was evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared with the control group,plasma IGFBP2 and SMOC2 levels were significantly higher in the CHF group(P＜0.05).Plasma IGFBP2 and SMOC2 levels increased progressively in the class Ⅱ group,the class Ⅲgroup and the class Ⅳ group(P＜0.05).Plasma IGFBP2 and SMOC2 levels were positively correlated with NYHA classification of CHF patients(P＜0.05).The 6-month poor prognosis rate for the 120 CHF patients was 35.00%(42/120).Compared with the good prognosis group,the plasma IGFBP2 and SMOC2 levels were significantly higher in the poor prognosis group(P＜0.05).After adjusting for confounding factors,high levels of IGFBP2 and SMOC2 were independent risk factors for poor prognosis in CHF patients(P＜0.05).The area under the curve(AUC)for the combined prediction of poor prognosis in CHF patients by plasma IGFBP2 and SMOC2 levels was 0.899,which was higher than that of plasma IGFBP2(0.800)and SMOC2(0.782)alone(P＜0.05).Conclusion The plasma levels of IGFBP2 and SMOC2 in CHF patients are increased,which is related to the decrease of cardiac function and poor prognosis.The combination of plasma IGFBP2 and SMOC2 levels has a high predictive efficiency for the prognosis of CHF patients.

Sustained inflammatory responses are closely related to various severe diseases, and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment. Natural products have garnered considerable concern for the treatment of inflammation. Huanglian-Wumei decoction (HLWMD) is a classic prescription used for treating inflammatory diseases, but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated. Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory, we successfully obtained berberine (BBR)-chlorogenic acid (CGA) supramolecular (BCS), which is an herbal pair from HLWMD. Using a series of characterization methods, we confirmed the self-assembly mechanism of BCS. BBR and CGA were self-assembled and stacked into amphiphilic spherical supramolecules in a 2:1 molar ratio, driven by electrostatic interactions, hydrophobic interactions, and π-π stacking; the hydrophilic fragments of CGA were outside, and the hydrophobic fragments of BBR were inside. This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules. Compared with free molecules, BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide (LPS)-induced pyroptosis. Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB (NF-κB) p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.

Sustained inflammatory responses are closely related to various severe diseases,and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment.Natural products have garnered considerable concern for the treatment of inflammation.Huanglian-Wumei decoction(HLWMD)is a classic prescription used for treating inflammatory diseases,but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated.Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory,we successfully obtained berberine(BBR)-chlorogenic acid(CGA)supramolecular(BCS),which is an herbal pair from HLWMD.Using a series of characterization methods,we confirmed the self-assembly mechanism of BCS.BBR and CGA were self-assembled and stacked into amphiphilic spherical supra-molecules in a 2:1 molar ratio,driven by electrostatic interactions,hydrophobic interactions,and π-πstacking;the hydrophilic fragments of CGA were outside,and the hydrophobic fragments of BBR were inside.This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules.Compared with free molecules,BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide(LPS)-induced pyroptosis.Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB(NF-κB)p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Objective:To construct a full-length infectious clone of enterovirus D68（EV-D68）expressing enhanced green fluorescent protein（EGFP）by reverse genetics in order to provide an efficient tool for studying the biological characteristics and screening antiviral drugs for EV-D68.Methods:Gene synthesis and overlap PCR techniques were used to construct the full-length clone plasmid pUC57-EV-D68 of EV-D68. The full-length viral sequence was then transferred into the pCAGGS plasmid to obtain the pCAGGS-EV-D68 plasmid. The EGFP gene was amplified and inserted into the pCAGGS-EV-D68 plasmid to construct the pCAGGS-EGFP-EV-D68 plasmid. Then，the two constructed plasmids were transfected into human rhabdomyosarcoma（RD）cells to rescue recombinant viruses RV-EV-D68 and RV-EGFP-EV-D68. The rescued viruses were identified using PCR，Western blot，and immunofluorescence techniques. The antiviral effect of doxycycline was evaluated using the rescued RV-EGFP-EV-D68. Statistical analysis was performed using the two independent samples t-test. Results:The recombinant virus RV-EGFP-EV-D68 capable of expressing EGFP was successfully rescued. Even after 15 serial passages，the virus retained EGFP expression with no significant difference in viral titers compared to the parental virus，indicating its stable passage in RD cells. Besides，the rescued strains exhibited similar replication characteristics to the parental virus. While at 24 and 36 h after infection，the titers of the rescued strains were significantly lower than that of the parental strain（both P<0.05）. This study demonstrated that doxycycline significantly reduced the fluorescence intensity of RV-EGFP-EV-D68-infected RD cells（ P<0.01）. Meanwhile，a negative correlation was observed between the doxycycline concentration and the fluorescence intensity，indicating that the rescued virus could be used for antiviral drug evaluation. Conclusions:This study successfully constructs an infectious clone of EV-D68 expressing EGFP. The rescued recombinant virus RV-EGFP-EV-D68 has been verified to be applicable for the evaluation of antiviral drugs.

Reporting guidelines are structured checklists for researchers to follow when reporting spe-cific types of studies.As researches conducted in real-world settings to address practical issues,implementa-tion research has stringent requirements for the replicability of result and the transparency of reporting,making its reporting guidelines particularly important.This paper systematically introduces the reporting guidelines in the field of implementation science,outlines their classification systems and scopes of applica-tion,and focuses on explaining the core characteristics and functions of five key reporting guidelines,inclu-ding the Standards for Reporting Implementation Studies(StaRI),Reporting guidelines for implementation and operational research,the Template for Intervention Description and Replication(TIDieR),the Frame-work for Reporting Adaptations and Modifications-Enhanced(FRAME),and recommendations for specifying and reporting implementation strategies.Furthermore,combined with the PEDALs research paradigm in im-plementation science,this paper further clarifies the specific application pathways for reporting guidelines and discusses directions for refinement,aiming to provide references for researchers to select appropriate reporting guidelines.

Objective To explore the relationship between plasma insulin-like growth factor-binding protein 2(IGFBP2),secreted modular calcium-binding protein 2(SMOC2)levels and cardiac function and prognosis in patients with chronic heart failure(CHF).Methods A total of 120 CHF patients(the CHF group)and 60 healthy volunteers undergoing physical examination during the same period(the control group)were enrolled.CHF patients were classified according to the New York Heart Association(NYHA)functional classification into the class Ⅱ(46 cases)group,the class Ⅲ group(42 cases)and the class Ⅳ group(32 cases).Based on the 6-month prognosis,patients were further divided into the poor prognosis group(42 cases)and the good prognosis group(78 cases).Plasma IGFBP2 and SMOC2 levels were measured using enzyme-linked immunosorbent assay.The correlation between plasma IGFBP2 and SMOC2 levels with NYHA functional classification was analyzed using Spearman rank correlation.Multivariate unconditional Logistic regression was used to analyze the relationship between plasma IGFBP2 and SMOC2 levels and poor prognosis in CHF patients.The predictive efficacy of plasma IGFBP2 and SMOC2 levels for CHF prognosis was evaluated using receiver operating characteristic(ROC)curve analysis.Results Compared with the control group,plasma IGFBP2 and SMOC2 levels were significantly higher in the CHF group(P＜0.05).Plasma IGFBP2 and SMOC2 levels increased progressively in the class Ⅱ group,the class Ⅲgroup and the class Ⅳ group(P＜0.05).Plasma IGFBP2 and SMOC2 levels were positively correlated with NYHA classification of CHF patients(P＜0.05).The 6-month poor prognosis rate for the 120 CHF patients was 35.00%(42/120).Compared with the good prognosis group,the plasma IGFBP2 and SMOC2 levels were significantly higher in the poor prognosis group(P＜0.05).After adjusting for confounding factors,high levels of IGFBP2 and SMOC2 were independent risk factors for poor prognosis in CHF patients(P＜0.05).The area under the curve(AUC)for the combined prediction of poor prognosis in CHF patients by plasma IGFBP2 and SMOC2 levels was 0.899,which was higher than that of plasma IGFBP2(0.800)and SMOC2(0.782)alone(P＜0.05).Conclusion The plasma levels of IGFBP2 and SMOC2 in CHF patients are increased,which is related to the decrease of cardiac function and poor prognosis.The combination of plasma IGFBP2 and SMOC2 levels has a high predictive efficiency for the prognosis of CHF patients.

With the deep integration of artificial intelligence and medical technology,the application of surgical robot technology in the medical field has become increasingly widespread.While it has improved the precision and success rate of surgery,it also brings a series of legal risks,including privacy protection,liability allocation,and ethical issues.It provides a detailed analysis of the legal risks and causes of surgical robot clinical applications,and reveals the defects of the current legal framework through an analysis of the inadequacies of the current legal system and technical standards.