Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4⁺ T, regulatory CD4⁺ T, CD4⁺ Th17, exhausted CD8⁺ T, cytotoxic CD8⁺ T, proliferated CD8⁺ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans ; Colorectal Neoplasms/drug therapy* ; Male ; Female ; Immunotherapy ; Middle Aged ; Aged ; Tumor Microenvironment/immunology* ; Retrospective Studies ; Microsatellite Instability ; Transcriptome ; Single-Cell Analysis ; Programmed Cell Death 1 Receptor/immunology* ; Gene Expression Profiling ; Immune Checkpoint Inhibitors/therapeutic use* ; Adult ; Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*

Investigating the correlation between micronucleus formation and male infertility has the potential to improve clinical diagnosis and deepen our understanding of pathological progression. Our study enrolled 2252 male patients whose semen was analyzed from March 2023 to July 2023. Their clinical data, including semen parameters and age, were also collected. Genetic analysis was used to determine whether the sex chromosome involved in male infertility was abnormal (including the increase, deletion, and translocation of the X and Y chromosomes), and subsequent semen analysis was conducted for clinical grouping purposes. The participants were categorized into five groups: normozoospermia, asthenozoospermia, oligozoospermia, oligoasthenozoospermia, and azoospermia. Patients were randomly selected for further study; 41 patients with normozoospermia were included in the control group and 117 patients with non-normozoospermia were included in the study group according to the proportions of all enrolled patients. Cytokinesis-block micronucleus (CBMN) screening was conducted through peripheral blood. Statistical analysis was used to determine the differences in micronuclei (MNi) among the groups and the relationships between MNi and clinical data. There was a significant increase in MNi in infertile men, including those with azoospermia, compared with normozoospermic patients, but there was no significant difference between the genetic and nongenetic groups in azoospermic men. The presence of MNi was associated with sperm concentration, progressive sperm motility, immotile spermatozoa, malformed spermatozoa, total sperm count, and total sperm motility. This study underscores the potential utility of MNi as a diagnostic tool and highlights the need for further research to elucidate the underlying mechanisms of male infertility.
Humans ; Male ; Infertility, Male/genetics* ; Adult ; Micronucleus Tests ; Semen Analysis ; Oligospermia/genetics* ; Azoospermia/genetics* ; Chromosome Aberrations ; Sperm Count ; Micronuclei, Chromosome-Defective ; Middle Aged

OBJECTIVE: To elucidate the mechanism of Banxia Houpo Decoction (BHD) in treating gastroesophageal reflux disease (GERD) by integrating and utilizing the compound analysis, network pharmacology, and empirical verification. METHODS: Ultra-high performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) was utilized to identify the primary compounds in BHD. Network pharmacology was employed to retrieve target genes. A GERD rat model was developed and 32 SD rats were randomly divided into model, BHD-L (3 g/kg), BHD-H (6 g/kg), and mosapride (0.75 mg/kg) groups using a random number table, 8 rats in each group. Eight rats without the construction of a GERD model were selected as the blank group. Esophageal damage was evaluated through visualization and histopathology evaluation. 5-hydroxytryptamine (5-HT) levels in serum and lower esophageal sphincter (LES) were determined by ELISA. LES contractility was measured with a force transducer, and serotonin transporter (SERT) and 5-HT4R expressions in LES were assessed by RT-PCR, Western blot, and immunofluorescence staining, respectively. RESULTS: UPLC-HRMS analysis identified 37 absorption peaks and 157 compounds in BHD. Functional enrichment identified SERT as a significant target for LES contractility. Histopathological findings indicated less severe esophageal mucosal damage in the BHD-H group compared with the model group. Although serum 5-HT levels showed no significant difference, 5-HT concentration in LES tissue was notably higher in the BHD-H group (P<0.05). Within the range from 10^-10 to 10^-7 mmol/L, LES contractility in the BHD-H and mosapride groups was significantly increased (P<0.05). Within the range from 3 × 10^-7 to 3 × 10^-6 mmol/L 5-HT, LES contractility in the BHD-H group was increased (P<0.05). No significant difference was detected within the range from 10^-5 to 10^-4 mmol/L 5-HT. Notably, SERT expression in the BHD-H group assessed by RT-PCR, Western blot, and immunofluorescence staining were significantly lower than that in the model group (all P<0.01); while 5-HT4R expression remained unchanged. CONCLUSION BHD may increase LES contractility by inhibiting SERT expression in LES tissue.
Animals ; Gastroesophageal Reflux/physiopathology* ; Drugs, Chinese Herbal/chemistry* ; Rats, Sprague-Dawley ; Network Pharmacology ; Male ; Serotonin/metabolism* ; Rats ; Disease Models, Animal ; Serotonin Plasma Membrane Transport Proteins/metabolism* ; Esophagus/drug effects*

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Extensive epigenetic reprogramming involves in memory CD8+ T-cell differentiation. The elaborate epigenetic rewiring underlying the heterogeneous functional states of CD8+ T cells remains hidden. Here, we profile single-cell chromatin accessibility and map enhancer-promoter interactomes to characterize the differentiation trajectory of memory CD8+ T cells. We reveal that under distinct epigenetic regulations, the early activated CD8+ T cells divergently originated for short-lived effector and memory precursor effector cells. We also uncover a defined epigenetic rewiring leading to the conversion from effector memory to central memory cells during memory formation. Additionally, we illustrate chromatin regulatory mechanisms underlying long-lasting versus transient transcription regulation during memory differentiation. Finally, we confirm the essential roles of Sox4 and Nrf2 in developing memory precursor effector and effector memory cells, respectively, and validate cell state-specific enhancers in regulating Il7r using CRISPR-Cas9. Our data pave the way for understanding the mechanism underlying epigenetic memory formation in CD8+ T-cell differentiation.
CD8-Positive T-Lymphocytes/metabolism* ; Cell Differentiation ; Chromatin/immunology* ; Animals ; Mice ; Immunologic Memory ; Epigenesis, Genetic ; SOXC Transcription Factors/immunology* ; NF-E2-Related Factor 2/immunology* ; Mice, Inbred C57BL ; Gene Regulatory Networks ; Enhancer Elements, Genetic

Objective:To evaluate the prevalence, potential risk factors, and correlation between coronary and peripheral microvascular dysfunction in heart failure with non-reduced ejection fraction (nHFrEF) patients.Methods:This was a prospective registry study. nHFrEF patients admitted to Zhongshan Hospital affiliated with Fudan University from December 2021 to December 2023 were enrolled. According to coronary flow reserve (CFR) or reactive congestion index (RHI), enrolled patients were divided into coronary microvascular endothelial dysfunction (CMD) group (CFR<2.5) and no CMD group (CFR≥2.5) or peripheral microvascular endothelial dysfunction (MED) group (RHI<1.67) and no MED group (RHI≥1.67). Patients′ general information, laboratory and auxiliary examination data were collected. Univariate and multivariate logistic regression were used to analyze the influencing factors of CMD and MED in nHFrEF patients, and Spearman correlation analysis was used to evaluate the correlation between MED and CMD.Results:A total of 142 nHFrEF patients were enrolled, aged 69.0 (59.0, 74.0) years, with a male proportion of 66.9% (95/142). The grouping results were as follows: (1) According to CFR, there were 73 cases in the CMD group and 69 cases in the no CMD group; (2) According to RHI, there were 57 cases in the MED group and 85 cases in the no MED group. The prevalence of CMD and MED in this study was 51.4% (73/142) and 40.1% (57/142), respectively. Univariate logistic regression analysis showed that increased heart rate, chronic kidney disease, atrial fibrillation, elevated N-terminal pro-B type natriuretic peptide levels, and increased urinary albumin/creatinine ratio were risk factors for CMD, while increased RHI was a protective factor for CMD; Atrial fibrillation is a risk factor for MED, while increased CFR is a protective factor for MED. Incorporating clinically significant variables from univariate analysis into multivariate analysis, the results showed that increased heart rate and elevated RHI remained risk and protective factors for CMD, respectively; increased CFR remains a protective factor for MED. Spearman correlation analysis showed that CFR was negatively correlated with lg urinary albumin/creatinine ratio, lg cardiac troponin T, lg N-terminal pro-B type natriuretic peptide, and heart rate; RHI is positively correlated with CFR.Conclusions:The prevalence of CMD and MED in nHFrEF patients is high, and the two have a certain positive correlation. Increased heart rate and RHI are risk and protective factors for CMD, respectively, while increased CFR is a protective factor for MED. MED may be a potential therapeutic target for nHFrEF patients.

Pituitary neuroendocrine tumors(PitNETs)are benign tumors originating from the pituitary gland.Although surgical and pharmacological treatments can achieve gross total resection of the tumor and restore endocrine function,patients often experience cognitive dysfunction and emotional regulation disorders,which can reduce their quality of life.Different types of PitNETs present with varying psychological and mental symptoms.For example,patients with prolactinomas,growth hormone-secreting pituitary tumors,and adrenocorticotropic hormone-secreting pituitary tumors commonly experience cognitive impairment(e.g.,memory and executive function)and emotional dysregulation(e.g.,anxiety and depression).Patients with non-functioning PitNETs commonly experience headaches and visual disturbances due to the mass effect of the tumor.Additionally,some of these patients may also develop cognitive impairments.Future research should focus on elucidating the specific mechanisms by which PitNETs influence neuropsychological function,developing more precise bedside assessment tools,and exploring personalized intervention strategies to improve overall treatment outcomes and quality of life for these patients.

Pituitary neuroendocrine tumors(PitNETs)are benign tumors originating from the pituitary gland.Although surgical and pharmacological treatments can achieve gross total resection of the tumor and restore endocrine function,patients often experience cognitive dysfunction and emotional regulation disorders,which can reduce their quality of life.Different types of PitNETs present with varying psychological and mental symptoms.For example,patients with prolactinomas,growth hormone-secreting pituitary tumors,and adrenocorticotropic hormone-secreting pituitary tumors commonly experience cognitive impairment(e.g.,memory and executive function)and emotional dysregulation(e.g.,anxiety and depression).Patients with non-functioning PitNETs commonly experience headaches and visual disturbances due to the mass effect of the tumor.Additionally,some of these patients may also develop cognitive impairments.Future research should focus on elucidating the specific mechanisms by which PitNETs influence neuropsychological function,developing more precise bedside assessment tools,and exploring personalized intervention strategies to improve overall treatment outcomes and quality of life for these patients.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective:To evaluate the prevalence, potential risk factors, and correlation between coronary and peripheral microvascular dysfunction in heart failure with non-reduced ejection fraction (nHFrEF) patients.Methods:This was a prospective registry study. nHFrEF patients admitted to Zhongshan Hospital affiliated with Fudan University from December 2021 to December 2023 were enrolled. According to coronary flow reserve (CFR) or reactive congestion index (RHI), enrolled patients were divided into coronary microvascular endothelial dysfunction (CMD) group (CFR<2.5) and no CMD group (CFR≥2.5) or peripheral microvascular endothelial dysfunction (MED) group (RHI<1.67) and no MED group (RHI≥1.67). Patients′ general information, laboratory and auxiliary examination data were collected. Univariate and multivariate logistic regression were used to analyze the influencing factors of CMD and MED in nHFrEF patients, and Spearman correlation analysis was used to evaluate the correlation between MED and CMD.Results:A total of 142 nHFrEF patients were enrolled, aged 69.0 (59.0, 74.0) years, with a male proportion of 66.9% (95/142). The grouping results were as follows: (1) According to CFR, there were 73 cases in the CMD group and 69 cases in the no CMD group; (2) According to RHI, there were 57 cases in the MED group and 85 cases in the no MED group. The prevalence of CMD and MED in this study was 51.4% (73/142) and 40.1% (57/142), respectively. Univariate logistic regression analysis showed that increased heart rate, chronic kidney disease, atrial fibrillation, elevated N-terminal pro-B type natriuretic peptide levels, and increased urinary albumin/creatinine ratio were risk factors for CMD, while increased RHI was a protective factor for CMD; Atrial fibrillation is a risk factor for MED, while increased CFR is a protective factor for MED. Incorporating clinically significant variables from univariate analysis into multivariate analysis, the results showed that increased heart rate and elevated RHI remained risk and protective factors for CMD, respectively; increased CFR remains a protective factor for MED. Spearman correlation analysis showed that CFR was negatively correlated with lg urinary albumin/creatinine ratio, lg cardiac troponin T, lg N-terminal pro-B type natriuretic peptide, and heart rate; RHI is positively correlated with CFR.Conclusions:The prevalence of CMD and MED in nHFrEF patients is high, and the two have a certain positive correlation. Increased heart rate and RHI are risk and protective factors for CMD, respectively, while increased CFR is a protective factor for MED. MED may be a potential therapeutic target for nHFrEF patients.