Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

With the rapid advancement of artificial intelligence(AI)in healthcare,clinical decision support system(CDSS)is gradually integrated into clinical workflows.While CDSS enhances diagnostic and therapeutic efficiency and accuracy,it has also sparked complex debates regarding accountability.This article systematically examines the current global landscape of accountability challenges associated with CDSS.It delves into the mechanisms underlying these challenges,focusing on 5 key dimensions:ambiguity in liability attribution,the"black-box"nature of algorithms,data bias,backward legal and regulatory systems,and heterogeneity in deployment environments.To address these issues,a collaborative governance framework centered on whole-lifecycle governance is proposed.Specifically,the framework advocates:enhancing AI trustworthiness through technical pathways;constructing innovative mechanisms such as risk-based tiered regulation and no-fault compensation funds through legal and regulatory pathways;strengthening institutional internal controls through organizational pathways;and reshaping a new professional paradigm of"human-AI collaboration"through ethical and educational pathways.The study argues that resolving CDSS accountability dilemmas is not only critical for fostering trustworthy AI in medicine but also essential for safeguarding patient safety,ensuring healthcare equity,and providing clinicians with clear liability boundaries and robust professional protections amid technological transformation.

Objective To explore the differences in therapeutic efficacy and possible mechanism of different routes of administration of fullerene nanoparticles in the treatment of radiation retinopathy.Methods Eight-week-old adult male SD rats were randomly divided into blank group(Control),irradiation group(X-Ray),irradiation+vitreous cavity administration group[X+F(IVT)],irradiation+ocular surface administration group[X+F(OS)],and irradiation+intravenous administration group[X+F(IV)],with 5 rats in each group.The blank group was not treated,the irradiation groups exposed to X-ray irradiation to establish the model,and fullerenol nanoparticles were given to the treatment groups through different routes after irradiation.At 7,14,and 28 d after modeling,body weight and fundus changes were measured to evaluate drug safety,retinal optical coherence tomography(OCT)was used to observe the change in retinal tissue structure,and electroretinography(ERG)was applied for oscillatory potentials(OPs)to evaluate visual function.CD31 immunofluorescence staining was carried out to evaluate retinal endothelial vascular status,and in vivo imaging was utilized to evaluate the accumulation of fullerenol nanoparticles in the eyes.Results The growth curves of body weight demonstrated that fullerenol nanoparticles did not affect the growth and development of rats,with no statistical difference between the treatment groups and the control group.Irradiation resulted in a significant reduction in visual function,decreased amplitudes of a-wave and b-wave,and declined OPs(P<0.01),and significantly increased thicknesses of the ganglion cell layer(GCL)and the inner nuclear layer(INL)in the retinas,as evidenced by OCT(P<0.01),along with a notably absent presence of CD31-positive cells(P<0.01).Notably,the X+F(IVT)group obtained significantly improved visual function after intravitreal administration,effectively maintained thickness of the GCL and INL,and prevention against the loss of CD31-positive cells(P<0.01).However,no such effective results were observed in the irradiated groups receiving intravenous either ocular surface administration.In vivo imaging revealed that intravitreal administration maintained high ocular accumulation of fullerene for 96 h,while ocular surface administration sustained these concentrations for only 12 h.Intravenous administration,in contrast,only led to a predominant drug distribution in vascular-rich areas,but reduced ocular accumulation.Conclusion Fullerene nanoparticles possess a therapeutic effect on radiation retinopathy,and the intravitreal administration route demonstrates better efficacy than ocular surface and intravenous administration.

Background:Following the short-term outbreak of coronavirus disease 2019(COVID-19)in December 2022 in China,clinical data on kidney transplant recipients(KTRs)with COVID-19 are lacking.Methods:We conducted a single-center retrospective study to describe the clinical features,complications,and mortality rates of hospitalized KTRs infected with COVID-19 between Dec.16,2022 and Jan.31,2023.The patients were followed up until Mar.31,2023.Results:A total of 324 KTRs with COVID-19 were included.The median age was 49 years.The median time between the onset of symptoms and admission was 13 d.Molnupiravir,azvudine,and nirmatrelvir/ritonavir were administered to 67(20.7%),11(3.4%),and 148(45.7%)patients,respectively.Twenty-nine(9.0%)patients were treated with more than one antiviral agent.Forty-eight(14.8%)patients were treated with tocilizumab and 53(16.4%)patients received baricitinib therapy.The acute kidney injury(AKI)occurred in 81(25.0%)patients and 39(12.0%)patients were admitted to intensive care units.Fungal infections were observed in 55(17.0%)patients.Fifty(15.4%)patients lost their graft.The 28-d mortality rate of patients was 9.0%and 42(13.0%)patients died by the end of follow-up.Multivariate Cox regression analysis identified that cerebrovascular disease,AKI incidence,interleukin(IL)-6 level of>6.8 pg/mL,daily dose of corticosteroids of>50 mg,and fungal infection were all associated with an increased risk of death for hospitalized patients.Conclusions:Our findings demonstrate that hospitalized KTRs with COVID-19 are at high risk of mortality.The administration of immunomodulators or the late application of antiviral drugs does not improve patient survival,while higher doses of corticosteroids may increase the death risk.

Objective:To explore the changes in acoustic features of 9-10-year-old primary school students with depressive symptoms, and based on these features and the random forest (RF) algorithm, construct a model for identifying depressive symptoms in primary school students, so as to provide an intelligent psychological health screening tool for schools and education departments.Methods:This was a case-control study.A total of 1 186 primary school students aged 9-10 from three primary schools in three regions of Jiangsu Province were selected as research subjects for psychological health screening from October 26, 2022 to February 13, 2023.Their demographic data, Depression-Anxiety-Stress Scale (DASS-21) scores, Insomnia Severity Index scores, and voice recordings were collected.Based on the DASS-21 scores, the participants were divided into a control group ( n=1 086) and a depression group ( n=100).Voice recordings were made using the neutral text " The North Wind and the Sun". openSMILE was used to extract 523 acoustic features from the pre-processed voice recordings.Group differences were assessed using independent-samples t-tests or chi-square tests.Pearson correlation analysis was conducted to examine the relationship between acoustic features and depression scores.Depressive symptoms were set as the dependent variable, and the correlated acoustic features were set as the independent variable to construct a classification model using the RF algorithm.The model performance was assessed using the receiver operating characteristic (ROC) curve, the area under the curve (AUC), precision, accuracy, recall, and F1 score. Results:Compared with the control group, the depression group showed significant differences in 105 acoustic features (44 spectral features, 49 source features, and 12 prosodic features) (all P<0.05).Correlation analysis showed that 12 acoustic features (7 spectral features, 4 source features, and 1 prosodic feature) were significantly correlated with the depression score (all P<0.05).Among the RF algorithm-based classification models, the spectral features demonstrated superior performance compared to source features and prosodic features (AUC=0.793), and the performance of the model based on the combination of these features was the best (AUC=0.818). Conclusions:Acoustic features may be an objective indicator to identify the depression of 9-10-year-old primary school students, and the classification model established based on acoustic features can identify the depressed primary school students.

Purpose: The interval between neoadjuvant chemotherapy (NAC) and surgery for locally advanced breast cancer (LABC) remains controversial. At the same time, the prognostic effect of delayed surgery in patients with poor responses is currently unclear. Methods: Data was collected from patients who had poor responses to NAC and underwent modified radical surgery from January 2013 to December 2018. The interval from completion of NAC to surgery was divided into two groups: a longer (greater than four weeks) or shorter (four weeks or less) interval. The associations of these interval groups with overall survival (OS) and recurrence-free survival (RFS) were evaluated by multivariable Cox models adjusting for the existing prognostic factors. Propensity score matching (PSM) was used to minimize election bias. Results: A total of 1,229 patients (mean age, 47.2 ± 8.9 years; median follow-up duration, 32.67 [6.57–52.63] months) were included. The 5-year OS rates were 73.2% and 60.8% in the shorter (n = 171) and longer interval group (n = 1,058), respectively, while the 3-year RFS rates were 80.8% and 71.7%, respectively. In multivariate Cox analysis, the longer interval was associated with an increased risk of mortality (hazard ratio [HR], 1.43; 95% confidence interval [CI], 1.01–2.02; p = 0.046) and recurrence (HR, 1.50; 95% CI, 1.12–1.99; p = 0.006).There was an interaction between the molecular subtype and the surgery interval for OS (pinteraction = 0.014) and RFS (pinteraction = 0.027). After PSM, no significant difference in OS (p = 0.180) and RFS (p = 0.069) was observed between the two groups. Conclusion Among LABC patients with a poor response, those with a longer interval between NAC and surgery had worse OS and RFS. The results indicate that these patients should receive modified radical surgery timely, which may in turn improve their prognosis.

Objective:To explore the speech features of female patients with anhedonic depression and their recognition of pleasure deficient symptoms.Methods:A total of 102 female depression patients who were hospitalized at Nanjing Brain Hospital from September 2020 to October 2021 were selected, including 62 anhedonic depression patients (anhedonic group) and 40 non-anhedonic depression patients (non-anhedonic group). A total of 50 female healthy controls were recruited during the same period.All participants were evaluated by the 17-item Hamilton depression scale (HAMD-17), Snaith-Hamilton pleasure scale (SHAPS), and the temporal experience of pleasure scale (TEPS), as well as voice acquisition.SPSS 23.0 software was used for data processing.Statistical analysis was conducted using one-way ANOVA, non-parametric tests, Logistic regression, and receiver operating characteristic curve.Results:Compared with the non-anhedonic group, the anhedonic group showed significant changes in 15 voice features(all P<0.05), including Mel-frequency cepstral coefficients, formant frequencies, intensity, and energy features.Among these features, Mel-frequency cepstral coefficients exhibited the highest accuracy in identifying anhedonic depression, with sensitivity of 47.5%, specificity of 91.9%, area under curve (AUC) of 0.751, 95% CI=0.686-0.866.Formant frequencies could identify female anhedonic depression, with a sensitivity of 90.0%, a specificity of 40.3%, an AUC of 0.647, and 95% CI=0.605-0.824.Energy features could identify anhedonic deficient depression, with a sensitivity of 60.0%, a specificity of 74.2%, an AUC of 0.679, and 95% CI=0.587-0.804.Intensity features could identify female anhedonic depression, with a sensitivity of 70.0%, a specificity of 58.1%, an AUC of 0.640, and 95% CI=0.554-0.769. Conclusion:Mel-frequency cepstral coefficients, formant frequencies, intensity features, and energy features may have specific changes in female patients with anhedonic depression.The Mel-frequency cepstral coefficients has the highest recognition accuracy for anhedonic symptoms in female depression patients, and is expected to become an objective evaluation index for female anhedonic depression.

Objective:The three-dimensional(3D) reconstruction method of calf perforator vessel was explored to provide the basis for clinical safe and accurate harvesting of calf chain perforator flap.Methods:Gelatin-lead oxide is automatically perfused the femoral artery of 3 fresh adult lower limbs specimens. Data were collected after the CT scan of the full limb, 3D reconstruction of bones, arteries and their perforators was processed in Mimics Research 19.0 software. Dynamic display of vascular hierarchy and adjacent relationships by adjusting CT values. And show the anatomical region of each perforator artery in different colors, measure the feeding area of the single perforator using Scion Image software. The 3D printed calf bone and vascular model can be used for direct observation. The specimen anatomy was measured according to a perforator vessel parameter with an outer diameter of 0.5 mm through the deep fascia. The number of perforators, vessle pedicle length, and outer diameter were observed and statistically analyzed.Results:The digitized 3D reconstruction images can clearly show the 3D structured of the calf artery and perforator vessels and micro vessels, as well as the course, distribution characteristics of blood vessels, and the 3D relationship with adjacent structures. The printed 3D model visually observes the hierarchy of the perforator vessels and the anastomosis relationship between the perforators. 3 calf specimen arteries with perforator artery 22±4, vessel pedicle length (46.7±18.3) mm, outer diameter (0.8±0.3) mm, the average blood supply area of the single perforator (38.2±10.7) cm 2. Conclusion:The Mimics Research 19.0 software should be used to dynamically reconstruct the 3D structure of the branch vessel by adjusting the CT value, which improves the display effect of the perforator vessels. The 3D printing model makes the source, course, diameter and distribution range of the perforator vessels visually visible, which provides experimental support for the clinical construction of digital calf chain perforator flap harvest scheme for patients.

Objective:The three-dimensional(3D) reconstruction method of calf perforator vessel was explored to provide the basis for clinical safe and accurate harvesting of calf chain perforator flap.Methods:Gelatin-lead oxide is automatically perfused the femoral artery of 3 fresh adult lower limbs specimens. Data were collected after the CT scan of the full limb, 3D reconstruction of bones, arteries and their perforators was processed in Mimics Research 19.0 software. Dynamic display of vascular hierarchy and adjacent relationships by adjusting CT values. And show the anatomical region of each perforator artery in different colors, measure the feeding area of the single perforator using Scion Image software. The 3D printed calf bone and vascular model can be used for direct observation. The specimen anatomy was measured according to a perforator vessel parameter with an outer diameter of 0.5 mm through the deep fascia. The number of perforators, vessle pedicle length, and outer diameter were observed and statistically analyzed.Results:The digitized 3D reconstruction images can clearly show the 3D structured of the calf artery and perforator vessels and micro vessels, as well as the course, distribution characteristics of blood vessels, and the 3D relationship with adjacent structures. The printed 3D model visually observes the hierarchy of the perforator vessels and the anastomosis relationship between the perforators. 3 calf specimen arteries with perforator artery 22±4, vessel pedicle length (46.7±18.3) mm, outer diameter (0.8±0.3) mm, the average blood supply area of the single perforator (38.2±10.7) cm 2. Conclusion:The Mimics Research 19.0 software should be used to dynamically reconstruct the 3D structure of the branch vessel by adjusting the CT value, which improves the display effect of the perforator vessels. The 3D printing model makes the source, course, diameter and distribution range of the perforator vessels visually visible, which provides experimental support for the clinical construction of digital calf chain perforator flap harvest scheme for patients.

Objective:To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province, and to construct a risk prediction model.Methods:A retrospective study.A total of 1 162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected, and they were surveyed by the Depression Anxiety Stress Scales-21 (DASS-21), the Strengths and Difficulties Questionnaire (SDQ), and the Family Environment Scale (FES). Children were divided into control group (1 059 cases) and depression group (103 cases) based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model. Results:There were significant differences in the economic development region, physical activities, academic performance, student cadres, parents′ education level, frequency of parental quarrels, SDQ and FES dimension scores between control group and depression group (all P<0.05). Among them, economic development areas (Northern Jiangsu and Southern Jiangsu), student cadres, father′s education level (elementary school and below) and intimacy of the FES scale were protective factors for depression in elementary school children; while emotional symptoms, peer problems and the total difficulty score in the SDQ scale, and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors: Logit ( P)=-1.390×economic development area (Northern Jiangsu) -1.508×economic development area (Southern Jiangsu) -1.248×student cadres -2.206×father′s education level (primary school and below) -1.145×father′s education level (junior high school)+ 3.316×emotional symptoms in the SDQ+ 0.979×peer problems in the SDQ+ 2.520×total difficulty score in the SDQ -1.697×cohesion in the FES + 0.760×conflict in the FES -0.678.The area under the curve of receiver operating characteristic was 0.931, with the sensitivity and specificity of 85.42% and 91.83%, respectively. Conclusions:The regional level of economic development, class or school cadres, father′s education level, peer problems, total difficulty score, cohesion and conflict in the family are influencing factors for depression among primary school children aged 9-10 years in Jiangsu Province.The created prediction model can effectively assess the depressive risk factors in this population, which is conductive to achieve the early recognition and intervention of depression in them.