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.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective To clarify the risk factors of diaphragmatic dysfunction (DD) after cardiac surgery with extracorporeal circulation. Methods A retrospective analysis was conducted on the data of patients who underwent cardiac surgery with extracorporeal circulation in the Department of Cardiovascular Surgery of Peking University People's Hospital from January 2023 to March 2024. Patients were divided into two groups according to the results of bedside diaphragm ultrasound: a DD group and a control group. The preoperative, intraoperative, and postoperative indicators of the patients were compared and analyzed, and independent risk factors for DD were screened using multivariate logistic regression analysis. Results A total of 281 patients were included, with 32 patients in the DD group, including 23 males and 9 females, with an average age of (64.0±13.5) years. There were 249 patients in the control group, including 189 males and 60 females, with an average age of (58.0±11.2) years. The body mass index of the DD group was lower than that of the control group [(18.4±1.5) kg/m2 vs. (21.9±1.8) kg/m2, P=0.004], and the prevalence of hypertension, chronic obstructive pulmonary disease, heart failure, and renal insufficiency was higher in the DD group (P<0.05). There was no statistical difference in intraoperative indicators (operation method, extracorporeal circulation time, aortic clamping time, and intraoperative nasopharyngeal temperature) between the two groups (P>0.05). In terms of postoperative aspects, the peak postoperative blood glucose in the DD group was significantly higher than that in the control group (P=0.001), and the proportion of patients requiring continuous renal replacement therapy was significantly higher than that in the control group (P=0.001). The postoperative reintubation rate, tracheotomy rate, mechanical ventilation time, and intensive care unit stay time in the DD group were higher or longer than those in the control group (P<0.05). Multivariate logistic regression analysis showed that low body mass index [OR=0.72, 95%CI (0.41, 0.88), P=0.011], preoperative dialysis [OR=2.51, 95%CI (1.89, 4.14), P=0.027], low left ventricular ejection fraction [OR=0.88, 95%CI (0.71, 0.93), P=0.046], and postoperative hyperglycemia [OR=3.27, 95%CI (2.58, 5.32), P=0.009] were independent risk factors for DD. Conclusion The incidence of DD is relatively high after cardiac surgery, and low body mass index, preoperative renal insufficiency requiring dialysis, low left ventricular ejection fraction, and postoperative hyperglycemia are risk factors for DD.

Purpose To investigate the correlation between molecular typing of urothelial carcinoma(UC)and its clinicopathologic features and prognosis,in order to explore the prognostic markers and therapeutic targets for UC.Methods 115 patients with UC were retrospectively analyzed.Immunohistochemical markers GATA-3,CK20,CK5/6 and CD44 were used for molecular typing of UC(luminal-like type,basal-like type and null).Correlations between molecular typing and clinicopathological features were analyzed using the Chi-square test and Fisher precise test.Sur-vival analysis was performed using the Kaplan-Meier test and Log-rank test.Results The expression of GATA-3 and CK20 was negatively correlated with the clinical stage of UC,while the expression of CD44 was positively correlated with the clinical stage of UC(both P＜0.05).CK20 was a marker of good prognosis(P=0.03).The proportion of clinically advanced UC with basal-like type was significantly higher than that of luminal-like type(78.4％vs 53.4％,P=0.033).Among the histologic variants,UC with neuroendocrine differentiation(100％),sarcomatoid carcinoma(80.0％)and squamous differentiation(77.8％)were basal-like type.All plasmacytoid and lymphoepithelioma-like types,as well as 81.8％of micropapillary UC.Among the null phenotypes,the differential variant predominated(66.7％).Compared with the luminal-like type,although the prognosis of basal-like UC was worse,there was no sta-tistically significant difference(P＞0.05).Conclusion Patients with CK20-expressing UC had a significantly better prognosis.The main histologic variants types of basal-like type and coelomofacial type are different.Molecular typing of UC using immunohistochemical markers is suggestive of clinical staging and prognosis of patients.

Purpose To investigate the relationship between the expression of POSTN and NECTIN-3 in urothelial carcinoma(UC)and its clinicopathologic features and prognosis.Methods Clinical data of 115 UC patients were col-lected.EnVision two-step method was used for immunohistochemical analysis to determine the expression of POSTN and NECTIN-3 in UC and their correlation with clinicopathological features and prognosis.Transcriptomic data from TCGA database were used to analyze the correlation between the expression of POSTN and NECTIN-3 in bladder cancer and the pathological stage and prognosis of bladder cancer.qPCR and Western blot were used to detect the expression levels of POSTN and NECTIN-3 in tumor tissues and adjacent tissues of patients.Results TCGA database analysis showed that the expression level of NECTIN-3 in urinary bladder urothelial carcinoma(UBUC)was significantly lower than that in paracancer tissues,and POSTN expression was positively correlated with pathological stage.Prognostic a-nalysis showed that POSTN expression was negatively correlated with the overall survival of UBUC(P＞0.05),and NECTIN-3 expression was negatively correlated with disease-free survival of UBUC(P＞0.05).The experimental re-suits showed that patients with positive POSTN expression were more prone to perineural invasion[25 cases(86.2％)vs 4 cases(13.8％),P=0.019],vascular invasion[36 cases(83.7％)vs 7 cases(16.3％),P=0.007],and lymph node metastasis[24 cases(88.9％)vs 3 cases(11.1％),P=0.033].Additionally,the positive expression rate of POSTN in UBUC was significantly higher than that in upper tract urothelial carcinoma(UTUC)(75.0％vs 54.3％,P=0.028).Higher expression levels of POSTN and NECTIN-3 were associated with shorter overall survival,but the difference was not statistically significant(P＞0.05).Conclusion There is no significant correlation between NECTIN-3 and the clinicopathological features and prognosis of urothelial carcinoma,while the expression of POSTN is correlated with the invasive clinicopathological features of UC,which has certain suggestive significance for clinical stage and prognosis.

Recent studies have revealed a significant association between Porphyromonas gingivalis(P.gingivalis)infection and poor prognosis in esophageal squamous cell carcinoma(ESCC).Although cer-tain circular RNAs(circRNA)have been shown to suppress ESCC tumorigenesis and progression,their regulatory mechanisms in P.gingivalis infection-associated ESCC remain elusive.In this study,RT-qPCR analysis demonstrated that P.gingivalis infection downregulated hsa_circ_0057552 expression in ESCC cells and tissues in a time-and dose-dependent manner.Actinomycin D assays further confirmed that P.gingivalis infection reduced the RNA stability of hsa_circ_0057552 in ESCC cells(P＜0.05).Functional assays in vitro and a subcutaneous tumor xenograft model in vivo revealed that hsa_circ_0057552 overexpression significantly inhibited ESCC cell proliferation,migration,invasion,and tumor growth(P＜0.05).Additionally,PCR array screening combined with RT-qPCR and Western blotting in-dicated that P.gingivalis infection markedly upregulated human antigen R(HuR)expression at both RNA and protein levels(P＜0.05).Mechanistic investigations demonstrated that HuR knockdown signifi-cantly increased hsa_circ_0057552 expression(P＜0.01),whereas hsa_circ_0057552 overexpression had no regulatory effect on HuR.Finally,si-HuR treatment reversed the inhibitory effect of P.gingivalis on hsa_circ_0057552 transcription.This study demonstrated that P.gingivalis may promote the progression of ESCC through a novel mechanism involving the regulation of HuR/hsa_circ_0057552,thereby identif-ying a novel therapeutic target and molecular marker for P.gingivalis-associated ESCC.

Objective To develop an ultra-high performance liquid chromatography-mass spectrometry method(UPLC-MS/MS)for the determination of nirmatrelvir concentration in mouse plasma.Methods The ACQUITY UPLC system was used in tandem with an API 4000 triple quadrupole mass spectrometer.The analytical column was Waters BEH C18(2.1 mm×5.0 mm,1.7 μm)column,and the mobile phases consisted of water(containing 0.1％formic acid)and methanol(containing 0.1％formic acid)under gradient elution at the flow rate of 0.4 mL·min-1.The column temperature was set at 40 ℃,and the injection volume was 5 μL.Electrospray ionization was used as ion source,and positive multiple reaction monitoring mode was adopted to quantitatively analyze the ionization pairs m/z 500.3→110.3(nirmatrelvir)and m/z 237.3→193.3(carbamazepine).Carbamazepine was employed as an internal standard.Results The linear range of nirmatrelvir was from 10 ng·mL-1 to 2 560 ng·mL-1.For the quality control nirmatrelvir samples,the accuracies of intra-and inter-batch were less than±15％,and the precisions of intra-and inter-batch were lower than 15％.Nirmatrelvir in plasma was stable at room temperature for 24 h and remained stable after three freeze-thaw cycles.The extracted nirmatrelvir solution could be stored at 4℃ for 3 d without any visible change.Conclusion The method was characterized by good specificity,high sensitivity,and appropriate linear range.The methodological validation was in accordance with the 2020 edition of the Chinese Pharmacopoeia and could be applied to the quantitative detection of nirmatrelvir in plasma.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Purpose To investigate the clinical pathological features and treatment strategies of adult pineoblasto-ma(PB).Methods The clinical data of 11 cases of adult PB were retrospectively analyzed.Their imaging,histologi-cal morphology,and immunohistochemical characteristics were evaluated,and the relevant literature was reviewed.Re-sults Among the 11 PB cases,5 cases were female and 6 were male,aged 18-63 years with a median age of 39 years.Microscopically,the tumors were composed of dense small to medium-sized cells,showing a diffuse and sheet-like distribution.Rosette-like structures could be seen in some cases.The tumor cell nuclei were round or irregular with a high nuclear-cytoplasmic ratio.The mitotic figures and apoptosis were extremely common to see,and necrosis was observed in some cases.The tumor cells were uniformly positive for CD56(11/11),Syn(11/11),and CgA(11/11),with retained expression of INI-1(11/11).Some cases were positive for CD99(3/11)and S-100(1/11),while negative for BCOR,CKpan,GFAP,PLAP,CD3,and CD20.The Ki67 proliferation index ranged from 20％to 80％.Five patients were followed up for 2 to 39 months:1 patient developed spinal metastasis 26 months after postop-erative chemotherapy;1 patient had spinal metastasis 4 months after postoperative radiotherapy and temozolomide treat-ment;and 3 patients died.Conclusion PB is a rare,highly malignant tumor in the pineal gland region,even rarer in adults.Its morphology is similar to that of childhood PB,and its prognosis is slightly better than that in children.