ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.

Objective To investigate the effects of advanced maternal age(AMA)on synaptic pruning of the hippocampus of offspring rats.Methods Offspring of 3-month-old SD female rats and 3-month-old SD male rats were designated as the appropriate age group(Ctl group),while offspring of 12-month-old SD female rats and 3-month-old SD male rats were assigned to AMA group.Hippocampal tissues from both groups(n=3 per group at each time point)were subjected to Golgi staining on postnatal days(P)7,28,and 60.Dendritic complexity,spine density(DS),and morphology of immature brain neurons at different age stages were compared between the two groups.Results Compared with Ctl group,the dendritic length of AMA group on P7,P28,and P60 was significantly shortened,and the average number of intersections between dendrites and concentric circles on P28 and P60 was also significantly decreased(P<0.05).Compared with Ctl group,the dendritic spine density of AMA group was significantly decreased on P7,P28,and P60.Notably,the density of thin-shaped dendritic spines in AMA group was increased on P7,whereas the densities of stubby-shaped and mushroom-shaped dendritic spines were decreased(P<0.05).On P28 in AMA group,the densities of thin-shaped and mushroom-shaped dendritic spines were significantly increased compared with Ctl group,while the density of stubby-shaped dendritic spines was significantly decreased(P<0.05).The densities of stubby-shaped and mushroom-shaped dendritic spine were markedly lower in AMA group on P60 than those in Ctl group(P<0.05).Conclusions During postnatal brain development periods,there were abnormalities in synaptic pruning in the hippocampal region of the offspring of the AMA,which manifested as reduced dendritic complexity,decreased dendritic spine density,and disorganized dendritic spine morphology.It could be one of the key mechanisms underlying brain dysfunction in the offspring of AMA.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective:To investigate the expression of Neurexophilin 4(NXPH4)in hepatocellular carcinoma(HCC)and its clinical significance and function.Methods:Retrieved LIHC project data(mRNA expression profiles and clinical records)from TCGA,analyzed differential NXPH4 expression in HCC versus adjacent non-tumor tissues,and investi-gated correlations between NXPH4 expression and clinicopathological characteristics/prognostic outcomes in HCC.Using GOEA and GSEA to investigate potential biological functions of NXPH4 in hepatocellular carcinoma.Results:NXPH4 exhibited significant upregulation in 23 cancer types(P<0.05),with significant associations to advanced HCC progression markers including TNM stage(P<0.05),histologic grade(P<0.05),and vascular invasion(P<0.05).Clinically,elevated NXPH4 expression correlated with reduced OS(HR=1.64,95%CI:1.15-2.33,P=0.006)and DSS(HR=1.88,95%CI:1.19-2.96,P=0.007).The immune infiltration results showed that NXPH4 expression was significantly correlated with Th2 cells and Th17 cells(all P values<0.05).Furthermore,NXPH4 expression was positively correlated with the levels of several immune checkpoint markers:TIGIT(r=0.265),PD-1(r=0.297),CTLA-4(r=0.302),and LAG-3(r=0.179,all P<0.001).Gene enrichment analysis revealed NXPH4 was significantly enriched in:pattern specification process(P<0.001);receptor ligand activity(P<0.001);collagen formation(P=0.009);activation of matrix metalloproteinases(P<0.001);neuro-active ligand receptor interactions(P<0.001);and ALK2 signaling(P=0.039).Conclusion:NXPH4 is associated with clinical pathological staging and poor prognosis in HCC patients;NXPH4 is associated with oncogenic pathways and im-mune infiltration,and has high value in predicting patient prognosis and immunotherapy.

Objective:To investigate the expression of Neurexophilin 4(NXPH4)in hepatocellular carcinoma(HCC)and its clinical significance and function.Methods:Retrieved LIHC project data(mRNA expression profiles and clinical records)from TCGA,analyzed differential NXPH4 expression in HCC versus adjacent non-tumor tissues,and investi-gated correlations between NXPH4 expression and clinicopathological characteristics/prognostic outcomes in HCC.Using GOEA and GSEA to investigate potential biological functions of NXPH4 in hepatocellular carcinoma.Results:NXPH4 exhibited significant upregulation in 23 cancer types(P<0.05),with significant associations to advanced HCC progression markers including TNM stage(P<0.05),histologic grade(P<0.05),and vascular invasion(P<0.05).Clinically,elevated NXPH4 expression correlated with reduced OS(HR=1.64,95%CI:1.15-2.33,P=0.006)and DSS(HR=1.88,95%CI:1.19-2.96,P=0.007).The immune infiltration results showed that NXPH4 expression was significantly correlated with Th2 cells and Th17 cells(all P values<0.05).Furthermore,NXPH4 expression was positively correlated with the levels of several immune checkpoint markers:TIGIT(r=0.265),PD-1(r=0.297),CTLA-4(r=0.302),and LAG-3(r=0.179,all P<0.001).Gene enrichment analysis revealed NXPH4 was significantly enriched in:pattern specification process(P<0.001);receptor ligand activity(P<0.001);collagen formation(P=0.009);activation of matrix metalloproteinases(P<0.001);neuro-active ligand receptor interactions(P<0.001);and ALK2 signaling(P=0.039).Conclusion:NXPH4 is associated with clinical pathological staging and poor prognosis in HCC patients;NXPH4 is associated with oncogenic pathways and im-mune infiltration,and has high value in predicting patient prognosis and immunotherapy.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective To observe the regulatory mechanism of drug-containing serum of Jinghou Zengzhi Prescription based on qi and blood replenishing method on the expression of growth and differentiation factor 9(GDF9)and apoptosis of ovarian granulosa cells in rats with controlled ovarian hyperstimulation(COH).Methods Serum of COH rats(blank serum)and serum of COH rats gavaged by the Jinghou Zengzhi Prescription were prepared.A COH rat model was established and ovarian granulosa cells were collected.The experiment was divided into 5 groups:blank serum group,drug-containing serum group,drug-containing serum+SB203580[p38 mitogen-activated protein kinase(p38MAPK)inhibitor]group,drug-containing serum + PDTC[nuclear transcription factor κB(NF-κB)inhibitor]group,drug-containing serum + SB203580 + PDTC group.The mRNA expression levels of p38MAPK,casein kinase 2(CK2),nuclear transcription factor κB inhibitor α(IκBα),NF-κB and GDF9 were detected by real-time quantitative polymerase chain reaction(qRT-PCR),and GDF9 protein expression level was detected by Western Blot,and ovarian granulosa cell apoptosis was detected by terminal-deoxynucleoitidyl transferase mediated nick end labeling(TUNEL).Results The drug-containing serum of Jinghou Zengzhi Prescription decreased the mRNA expressions of p38MAPK and NF-κB,elevated the mRNA expressions of CK2 and IκBα,increased the mRNA and protein expression levels of GDF9,and decreased the apoptosis rate of ovarian granulosa cells in COH rats.The addition of p38MAPK inhibitor SB203580 alone and the addition of NF-κB inhibitor PDTC alone both promoted the mRNA and protein expressions of GDF9 and reduced the apoptosis rate of granulosa cells.Conclusion The drug-containing serum of Jinghou Zengzhi Prescription based on qi and blood replenishing method can promote the expression of GDF9 and inhibit the apoptosis of ovarian granulosa cells in rats with COH,and its mechanism may be related to the regulation of the expression of genes of the dual signaling pathways of p38MAPK and NF-κB.

Objective This study aims at establishing a teaching catalog and content for breast rare dis-eases and developing the syllabus for the breast rare disease using integrated multimodality of case-/problem-/resource-based learning(CBL+PBL+RBL).Methods By conducting bibliometrics co-occurrence analysis,we collected 6291 articles on breast rare disease published from January,1975 to June,2024.Additionally,we re-trieved the Textbook on Rare Diseases,the Catalog of Chinese Rare Disease,and Second Batch of Rare Dis-ease Catalog and then decided the teaching content.Results From 16,387 keywords,1000(6.1％)keywords were identified through co-occurrence analysis,including 50(0.3％)candidate diseases.These were classified into three categories:rare primary breast diseases,rare genetic mutation-related diseases associated with breast cancer,and rare systemic multi-system diseases involving the breast.From the candidate list,20(0.1％)rare primary breast diseases were further selected for their notable clinical teaching significance,and significant multi-systemic diseases affecting the breast,whether related to gene mutations or not.Teaching plans were draf-ted using a diversified parallel teaching approaches,taking into account the characteristics of different diseases and the focus of different teaching methods.Conclusions This study initiated the development of the teaching content for breast rare diseases and developed the teaching syllabus using the CBL+PBL+RBL integrated multi teaching model and targeting each rare breast disease for the critical point for teaching.

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

Objective:To construct an explainable artificial intelligence(AI) model of risk characteristics of papillary thyroid carcinoma(PTC), and to explore its value of it combined with clinical features in predicting cervical lymph node metastasis(CLNM) in PTC patients.Methods:From January 2021 to September 2022, 422 patients(422 nodules) with pathologically confirmed PTC underwent thyroidectomy and neck lymph node dissection in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively collected, the patients were randomly divided into training set and test set according to the ratio of 7∶3. Ultrasonographic features highly correlated with PTC risk characteristics were extracted by traditional machine learning method, and an intelligent prediction model with optimal probability of risk characteristics was established. Then, a risk model for predicting CLNM of PTC patients was constructed in combination with clinical features. The diagnostic effectiveness of the model was evaluated by drawing a ROC curve and calculating the area under curve (AUC).Results:In the AI explaineable model of PTC risk characteristics in the test set, the intelligent diagnosis model of calcification based on logistic regression classification showed the highest diagnostic efficiency, with an AUC of 0.87 ( P<0.05). Compared with the probability model of risk characteristic of PTC alone, the comprehensive model combined with clinical characteristics showed higher diagnostic efficiency in predicting CLNM of PTC patients, with AUC of 0.97, diagnostic critical value of 0.15, corresponding accuracy, sensitivity and specificity of 92.65%, 92.76% and 92.54%, respectively (all P<0.05). Conclusions:The explaineble risk characteristics of PTC AI model combined with clinical features can effectively predict the cervical lymph node metastasis of PTC, and then provide effective information for clinical decision-making of PTC patients.