Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

Objective To compare the effect of small optical zone orthokeratology lenses(OK lenses)and repeated low-level red-light(RLRL)therapy in controlling myopia progression for adolescents,and the therapeutic effectiveness of RLRL is evaluated.Methods A retrospective analysis was conducted on the clinical data of 80 adolescent myopic patients in the First Affiliated Hospital of Army Medical University.The patients were divided into the RLRL group and the OK lenses group according to different intervention methods,with 40 cases in each group.Patients in the RLRL group received RLRL therapy combined with single-vision spectacles,and patients in the OK lenses group were treated with OK lenses.The changes of spherical equivalent(SE),axial length and subfoveal choroidal thickness(SFCT)1,3,6,and 12 months after treatment compared with the baseline,and color vision of patients were assessed.Based on the mean baseline axial length of the RLRL group,the patients in this group were subdivided into the short axial group and the long axial group,and the changes of the axial length and SFCT were further analyzed.Results The diopter 1,3,6,and 12 months after treatment in the RLRL group were not significantly different from the baseline(P>0.05).Axial lengths of patients in the RLRL group progressively shortened after treatment and returned close to the baseline 12 months after treatment.In contrast,axial lengths of patients in the OK lens continued to grow within 12 months after treatment;the axial lengths at each time point after treatment of patients in the two groups were significantly different from the baseline(P<0.05).The changes of axial length of patients in the RLRL group at each time point after treatment were significantly smaller than those in the OK lenses group(P<0.05).The SFCT changes of patients in the RLRL group at each time point after treatment were all greater than those in the OK lenses group(P<0.05).The SFCT at each time point after treatment in the RLRL group were significantly different from the baseline(P<0.05),whereas the SFCT at each time point after treatment in the OK lenses group were not significantly different from the baseline(P>0.05).The changes of axial length at each time point after treatment of patients in the long axial group were all greater than those in the short axial group(P<0.05);the SFCT changes 6 months after treatment of patients in the long axial group was greater than that in the short axial group(P<0.05);the SFCT at each time point after treatment of patients in the two groups were signifi-cantly different from the baseline(P<0.05).Color vision tests revealed no abnormities after treatment in the RLRL group and the OK lenses group.Conclusion RLRL therapy is effective in controlling myopia progression and demonstrates superior axial length control compared to orthokeratology lenses.

China has become the country with the highest global burden of heart failure(HF).Despite the widespread use of prognostic-improving medications today,the mortality rate of HF remains high,reaching 13.7％at one year-particularly among patients with heart failure with reduced ejection fraction(HFrEF).HF interventional device therapy(structural intervention)targets the structural factors underlying HF,including atrial pressure,ventricular remodeling,and valvular intervention.It leverages the heart's intrinsic physiological properties and pathological progression mechanisms to deliver treatments through interventions without external active forces,achieving anatomical or functional repair.This field has emerged as a rapidly growing area and plays an increasingly critical role in HF management.This article provides a comprehensive review and summary of the latest advancements in HF and cardiomyopathy interventional therapy over the past year.It covers various novel technologies and products currently in the research phase,aiming to provide an in-depth analysis of the current status and future directions of HF interventional therapy,and further advance the development of this discipline.

Objective To observe the efficacy of self-made auxiliary reduction device combined with sinus tarsi approach(STA)in the treatment of Sanders type Ⅱ to Ⅳ calcaneal fractures.Methods A total of 40 patients with Sanders type Ⅱ to Ⅳ calcaneal fractures admitted to our hospital from January to June 2023 were selected and divided into the control group and the observation group by the random number table method,with 20 cases in each group.Patients in the control group underwent surgical treatment with the heel extensile lateral approach(ELA),while patients in the observation group underwent surgical treatment with the auxiliary reduction device combined with STA.The surgical-related indicators,postoperative complications and ankle-foot anatomical indicators of patients in the two groups were compared.The recovery of limb function was evaluated by the American Orthopaedic Foot and Ankle Society(AOFAS)ankle-hindfoot scale and Maryland foot function score.Results There was no statistically significant difference in the operation time,postoperative incision drying time,or duration of postoperative pain between the two groups(P>0.05).The postoperative suture removal time of the patients in the observation group was shorter than that of the control group,and the difference was statistically significant(P<0.05).The incidence of skin edge necrosis of incision and the total incidence of complications of patients in the observation group were significantly lower than those in the control group(P<0.05).The B?hler angle and Gissane angle of patients in both groups increased after surgery compared with those before surgery(P<0.05);there was no statistically significant difference in the B?hler angle or Gissane angle after surgery of patients between the two groups(P>0.05).The AOFAS score1 week after surgery of the patients in the observation group was higher than that in the control group(P<0.05),while there were no statistically significant differences in the AOFAS scores or Maryland scores of patients at other time points between the two groups(P>0.05).Conclusion The use of the auxiliary reduction device in surgical treatment with STA for Sanders type Ⅱ to Ⅳ calcaneal fractures can effectively restore the function of the foot and ankle,with short postoperative suture removal time and low incidence of postoperative complications.

China has become the country with the highest global burden of heart failure(HF).Despite the widespread use of prognostic-improving medications today,the mortality rate of HF remains high,reaching 13.7％at one year-particularly among patients with heart failure with reduced ejection fraction(HFrEF).HF interventional device therapy(structural intervention)targets the structural factors underlying HF,including atrial pressure,ventricular remodeling,and valvular intervention.It leverages the heart's intrinsic physiological properties and pathological progression mechanisms to deliver treatments through interventions without external active forces,achieving anatomical or functional repair.This field has emerged as a rapidly growing area and plays an increasingly critical role in HF management.This article provides a comprehensive review and summary of the latest advancements in HF and cardiomyopathy interventional therapy over the past year.It covers various novel technologies and products currently in the research phase,aiming to provide an in-depth analysis of the current status and future directions of HF interventional therapy,and further advance the development of this discipline.

Decreased exercise tolerance is a common clinical issue in children with congenital heart disease (CHD), significantly impacting their long-term quality of life and increasing the risk of adverse cardiovascular events.However, due to the complexity of CHD, the diversity of assessment methods, and the limitations in equipment accessibility, standardized protocols for evaluating and intervening in exercise tolerance are still lacking.In order to provide a basis for improving exercise tolerance in children with CHD, the latest domestic and international research on the assessment and intervention of exercise tolerance in children with CHD was systematically summarized.The applicability, advantages, and limitations of existing methods, including cardiopulmonary exercise testing, the 6-minute walk test, and smart wearable devices in clinical practice were discussed.Furthermore, the effectiveness of various intervention strategies (such as exercise training, nutritional management, surgical correction, and pharmacological treatment) in improving exercise tolerance was analyzed.

Streptococcus suis is an important zoonotic pathogen.Two outbreaks of large-scale human infections with S.suis have occurred in China,thereby posing a serious public health risk and changing the view that this pathogen causes only sporadic cases in humans.Deeper understanding of the pathogenesis of Streptococcus suis is urgently needed.During the infection process,S.suis sur-vival and virulence in the host is facilitated by circumvention of the immune defense through various virulence factors.The bacterium's pathogenicity is closely associated with the virulence factors it carries.Herein,we review recent progress in the study of virulence fac-tors of S.suis related to overcoming the host intrinsic immune defense,to provide a theoretical basis for the prevention of porcine strep-tococcal diseases and the development of vaccines.