Objective: This study aimed to systematically evaluate potential causal relationships between nine cathepsins and female infertility using Mendelian randomization (MR) methods. Methods: A bidirectional MR analysis was conducted utilizing single nucleotide polymorphisms as instrumental variables to investigate the potential causal effects between nine cathepsins and female infertility. Genetic data on female infertility were sourced from the FinnGen study, and cathepsin-related data were obtained from genome-wide association studies datasets of European ancestry. Results: Elevated levels of cathepsin E were significantly and inversely associated with the risk of female infertility, suggesting a potential protective role. This finding was further supported by multivariable MR analysis. However, no significant associations were observed between the other eight cathepsins and female infertility. Conclusion This study represents the first systematic MR analysis to identify a potential protective effect of cathepsin E on female infertility.

Objective: This study aimed to systematically evaluate potential causal relationships between nine cathepsins and female infertility using Mendelian randomization (MR) methods. Methods: A bidirectional MR analysis was conducted utilizing single nucleotide polymorphisms as instrumental variables to investigate the potential causal effects between nine cathepsins and female infertility. Genetic data on female infertility were sourced from the FinnGen study, and cathepsin-related data were obtained from genome-wide association studies datasets of European ancestry. Results: Elevated levels of cathepsin E were significantly and inversely associated with the risk of female infertility, suggesting a potential protective role. This finding was further supported by multivariable MR analysis. However, no significant associations were observed between the other eight cathepsins and female infertility. Conclusion This study represents the first systematic MR analysis to identify a potential protective effect of cathepsin E on female infertility.

Objective: This study aimed to systematically evaluate potential causal relationships between nine cathepsins and female infertility using Mendelian randomization (MR) methods. Methods: A bidirectional MR analysis was conducted utilizing single nucleotide polymorphisms as instrumental variables to investigate the potential causal effects between nine cathepsins and female infertility. Genetic data on female infertility were sourced from the FinnGen study, and cathepsin-related data were obtained from genome-wide association studies datasets of European ancestry. Results: Elevated levels of cathepsin E were significantly and inversely associated with the risk of female infertility, suggesting a potential protective role. This finding was further supported by multivariable MR analysis. However, no significant associations were observed between the other eight cathepsins and female infertility. Conclusion This study represents the first systematic MR analysis to identify a potential protective effect of cathepsin E on female infertility.

Objective: This study aimed to systematically evaluate potential causal relationships between nine cathepsins and female infertility using Mendelian randomization (MR) methods. Methods: A bidirectional MR analysis was conducted utilizing single nucleotide polymorphisms as instrumental variables to investigate the potential causal effects between nine cathepsins and female infertility. Genetic data on female infertility were sourced from the FinnGen study, and cathepsin-related data were obtained from genome-wide association studies datasets of European ancestry. Results: Elevated levels of cathepsin E were significantly and inversely associated with the risk of female infertility, suggesting a potential protective role. This finding was further supported by multivariable MR analysis. However, no significant associations were observed between the other eight cathepsins and female infertility. Conclusion This study represents the first systematic MR analysis to identify a potential protective effect of cathepsin E on female infertility.

Objective: This study aimed to systematically evaluate potential causal relationships between nine cathepsins and female infertility using Mendelian randomization (MR) methods. Methods: A bidirectional MR analysis was conducted utilizing single nucleotide polymorphisms as instrumental variables to investigate the potential causal effects between nine cathepsins and female infertility. Genetic data on female infertility were sourced from the FinnGen study, and cathepsin-related data were obtained from genome-wide association studies datasets of European ancestry. Results: Elevated levels of cathepsin E were significantly and inversely associated with the risk of female infertility, suggesting a potential protective role. This finding was further supported by multivariable MR analysis. However, no significant associations were observed between the other eight cathepsins and female infertility. Conclusion This study represents the first systematic MR analysis to identify a potential protective effect of cathepsin E on female infertility.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Pyroptosis is a programmed death of inflammatory cells triggered by pathogen invasion,dependent on caspase activation,through both classical and non-classical pyroptosis pathways.Cell pyroptosis is related to the occurrence and development of a variety of animal infectious diseases caused by microbial infection.After microorganisms invading,cells are stimulated by pathology-re-lated molecular patterns,causing strong immune response,stimulating inflammatory signaling pathways,and then activating inflammasome,leading to pyroptosis.The immune system has e-volved multiple mechanisms to fight microbial infections and regulate inflammatory responses.The innate immune system,by recognizing microbial molecules in pathogens and responding quickly by producing inflammasome and activating pyroptosis,helps clear pathogens to prevent infection and maintain the normal functioning of the body.A thorough study of the pathogenesis and immune es-cape mechanism of cell pyroptosis in animal infectious diseases will provide a new direction for the treatment of animal infectious diseases.

Objectives:To identify the two-dimensional speckle tracking imaging (2D-STI)-derived longitudinal strain indices that reflect the myocardial functional characteristics of patients with apical hypertrophic cardiomyopathy (AHCM). Methods:This retrospective study included 30 patients with typical AHCM diagnosed at the First Affiliated Hospital of Fujian Medical University from January 2015 to May 2019 (AHCM group),35 patients with essential hypertensive left ventricular hypertrophy (HTLVH group),and 45 healthy volunteers (normal control group) were also included.Two-dimensional echocardiography was used to measure the cardiac chamber size and wall thickness,and 2D-STI was used to analyze the longitudinal strain during the left ventricular systolic phase,the global longitudinal strain (GLS) and the longitudinal strain of the apical,mid,and basal segments (LSA,LSM,LSB) were assessed.The ratios of the apical to the overall and other segmental longitudinal strains were used as the apical relative longitudinal strain indices,including the apical to basal longitudinal strain ratio (ABLR,LSA/LSB),the apical to global longitudinal strain ratio (AGLR,LSA/GLS),and the apical to basal-mid segment longitudinal strain ratio (ABMLR,LSA/[LSB+LSM]). Results:GLS was significantly lower in the AHCM group and HTLVH group than in the normal control group (both P<0.05),and was similar between the AHCM group and HTLVH group (P>0.05).The LSA,LSM,and LSB were also significantly lower in the AHCM group and HTLVH group than in the normal control group,LSA decrease was more significant in the AHCM group as compared to the HTLVH group,while the HTLVH group was mainly characterized by a decrease in LSB,which was significantly lower as compared to the AHCM group (all P<0.05).Compared with the normal control group,the ABLR,AGLR,and ABMLR were significantly reduced in the AHCM group,while significantly increased in the HTLVH group (all P<0.05).The ROC curve showed that the AUC of ABLR,AGLR,ABMLR,and LSA was 0.873 to 0.916,using<1.28 as the cutoff value of ABLR,the sensitivity was 90.0％ and specificity was 88.7％ for diagnosing AHCM. Conclusions:The apical relative longitudinal strain indices can reflect the myocardial functional characteristics of AHCM patients,which are better than single apical longitudinal strain value.As the most representative indice,ABLR may be useful in distinguishing AHCM from left ventricular hypertrophy caused by other diseases,and can be used as a parameter for the evaluation of myocardial function damage in AHCM.

Anti neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) is a systemic disease characterized by small vessel wall inflammation and cellulose necrosis mediated by ANCA. Renal injury caused by AAV is called ANCA-associated glomerulonephritis (AAGN). The paper reported a case of AAV with renal damage combined with human immunodeficiency virus (HIV) infection. The patient was an elderly male with clinical manifestations of hematuria and uremia. Renal pathological examination showed AAV and renal injury. This case is the first report in China while reviewing the relevant literature, and it is still inconclusive whether this is an overlap of the two diseases or a specific pathological type of HIV-associated nephritis. We believe that AAV has the potential to occur in HIV-infected patients, so clinicians should not ignore the phenomenon of ANCA positivity in HIV-infected patients, and the follow-up of such patients needs to be enhanced. Clinical and renal pathological examinations are the main methods to diagnose HIV infection with AAV. At the same time, there are no clear guideline guidelines on how to administer immunosuppressive therapy for such patients who have immunodeficiency and are at higher risk of opportunistic infections, and in whom to make the best possible outcomes.