1.Construction and value of a vestibular function calibration test recognition model based on dual-stream ViT and ConvNeXt architecture
Xu LUO ; Peixia WU ; Weiming HAO ; Yinhong QU ; Han CHEN
Chinese Journal of Clinical Medicine 2025;32(2):207-211
Objective To improve the efficiency and accuracy of videonystagmography calibration test results while enabling effective recognition of saccadic undershoot waveform by developing a dual-stream architecture-based deep learning model. Methods A vestibular function calibration test recognition model with cross-modal feature fusion was constructed by integrating vision transformer (ViT) and a modified ConvNeXt convolutional network. The model utilized trajectory pictures and spatial distribution maps as inputs, employed a multi-task learning framework to classify calibration data, and to directly evaluate undershoot waveform. Results The model showed outstanding performance in assessing calibration compliance. The accuracy, sensitivity, specificity of the model in left side, middle, and right side were all greater than 90%, and AUC values were all greater than 0.99, with 97.66% of optimal accuracy (middle), 98.98% of optimal sensitivity (middle), 96.87% of optimal specificity (right side), and
2.Differences in HER2-0 and HER2-low Breast Cancer: Androgen Receptor and Programmed Death Ligand 1 as Predictive Factors
Xiaoqi ZHANG ; Ciqiu YANG ; Yitian CHEN ; Junsheng ZHANG ; Peiyong LI ; Na HUANG ; Yilin CHEN ; Minting LIANG ; Weiming LV ; Zhongyu YUAN ; Jie LI ; Kun WANG
Journal of Breast Cancer 2025;28(1):23-36
Purpose:
Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified.
Methods:
We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR.
Results:
The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046).
Conclusion
There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.
3.Impact of Antibody Immune Response and Immune Cells on Osteoporosis and Fractures
Kangkang OU ; Jiarui CHEN ; Jichong ZHU ; Weiming TAN ; Cheng WEI ; Guiyu LI ; Yingying QIN ; Chong LIU
Clinics in Orthopedic Surgery 2025;17(3):530-545
Background:
The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis.
Methods:
We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved.
Results:
Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects.
Conclusions
This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.
4.Impact of Antibody Immune Response and Immune Cells on Osteoporosis and Fractures
Kangkang OU ; Jiarui CHEN ; Jichong ZHU ; Weiming TAN ; Cheng WEI ; Guiyu LI ; Yingying QIN ; Chong LIU
Clinics in Orthopedic Surgery 2025;17(3):530-545
Background:
The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis.
Methods:
We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved.
Results:
Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects.
Conclusions
This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.
5.Impact of Antibody Immune Response and Immune Cells on Osteoporosis and Fractures
Kangkang OU ; Jiarui CHEN ; Jichong ZHU ; Weiming TAN ; Cheng WEI ; Guiyu LI ; Yingying QIN ; Chong LIU
Clinics in Orthopedic Surgery 2025;17(3):530-545
Background:
The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis.
Methods:
We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved.
Results:
Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects.
Conclusions
This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.
6.Differences in HER2-0 and HER2-low Breast Cancer: Androgen Receptor and Programmed Death Ligand 1 as Predictive Factors
Xiaoqi ZHANG ; Ciqiu YANG ; Yitian CHEN ; Junsheng ZHANG ; Peiyong LI ; Na HUANG ; Yilin CHEN ; Minting LIANG ; Weiming LV ; Zhongyu YUAN ; Jie LI ; Kun WANG
Journal of Breast Cancer 2025;28(1):23-36
Purpose:
Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified.
Methods:
We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR.
Results:
The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046).
Conclusion
There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.
7.Impact of Antibody Immune Response and Immune Cells on Osteoporosis and Fractures
Kangkang OU ; Jiarui CHEN ; Jichong ZHU ; Weiming TAN ; Cheng WEI ; Guiyu LI ; Yingying QIN ; Chong LIU
Clinics in Orthopedic Surgery 2025;17(3):530-545
Background:
The immune system plays a critical role in the development and progression of osteoporosis and fractures. However, the causal relationships between antibody immune responses, immune cells, and these bone conditions remain unclear. This study aimed to explore these relationships using Mendelian randomization (MR) analysis.
Methods:
We collected complete blood count data from patients with fractures and healthy individuals and analyzed their differences. Then, we conducted a 2-sample, 2-step MR analysis to investigate the causal effects of antibody immune responses on osteoporosis and fractures, using inverse-variance weighted (IVW) as the primary method. We also explored whether immune cells mediate the pathway between antibodies and osteoporosis or fractures. Finally, we analyzed the functions and expression levels of key genes involved.
Results:
Overall, the fracture group exhibited increased white blood cell count, absolute neutrophil count, absolute monocyte count, platelet count, and their respective proportions, while absolute lymphocyte count, absolute eosinophil count, absolute basophil count, red blood cell count, and their proportions were decreased. We identified 44 causal relationships between antibodies and osteoporosis or fractures, with 7 supported by multiple MR methods, and 5 showing odds ratios significantly deviating from 1 in the IVW analysis. Epstein-Barr virus-related antibodies had a notable impact on osteoporosis and fractures. The human leukocyte antigen (HLA) gene family, particularly HLA-DPB1, emerged as a significant risk factor. However, immune cells were not found to mediate these effects.
Conclusions
This study elucidated the causal relationships between antibody immune responses, immune cells, and osteoporosis or fractures. The HLA gene family plays a crucial role in the interaction between antibodies and these bone conditions, with HLA-DPB1 identified as a key risk gene. Immune cells do not serve as mediators in this process. These findings provide valuable insights for future research.
8.Differences in HER2-0 and HER2-low Breast Cancer: Androgen Receptor and Programmed Death Ligand 1 as Predictive Factors
Xiaoqi ZHANG ; Ciqiu YANG ; Yitian CHEN ; Junsheng ZHANG ; Peiyong LI ; Na HUANG ; Yilin CHEN ; Minting LIANG ; Weiming LV ; Zhongyu YUAN ; Jie LI ; Kun WANG
Journal of Breast Cancer 2025;28(1):23-36
Purpose:
Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified.
Methods:
We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR.
Results:
The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046).
Conclusion
There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.
9.Research progress IL-1β in the mechanism of action and clinical treatment of diabetic retinopathy
Fang CHEN ; Haiyan WEI ; Pengxiang XU ; Shuqin ZENG ; Weiming LYU ; Rong XU
Chinese Journal of Diabetes 2024;32(7):557-560
Diabetic retinopathy(DR)is the main cause of blindness and visual impairment.In hyperglycemia,oxidative stress,or hypoxia,IL-1β upregulation mediates retinal inflammation.Sustained low-grade inflammation can cause retinal vascular damage and neurodegeneration,stimulate oxidative damage,disrupt the blood retinal barrier,and induce retinal neovascularization.This article reviews the research progress of IL-1β in the mechanism and clinical treatment of DR.
10.Analysis of PICU management and follow-up after Montgomery T-tube placement in children
Yan DU ; Letian TAN ; Pan LIU ; Lijia DU ; Yuxin LIU ; Jinhao TAO ; Chao CHEN ; Zhengzheng ZHANG ; Guoping LU ; Weiming CHEN
Chinese Pediatric Emergency Medicine 2024;31(5):342-348
Objective:To analyze the clinical situation of critically ill children with Montgomery T-tube,aiming to summarize the characteristics of T-tube application in pediatric and the experience of postoperative airway management in PICU.Methods:The etiology,clinical characteristics,complications and ICU admissions of patients with Montgomery T-tube admitted to the Pediatric Hospital of Fudan University from April 2019 to December 2021 were analyzed,and the application of T-tube in patients with critical conditions requiring long-term mechanical ventilation was described in the light of clinical experience.Results:During the study period,seven children were admitted to the PICU after T-tube insertion,including three males and four females,aged 9~75 months.Five children received mechanical ventilation.Among them,there were five cases with congenital laryngeal malformations,one case with tracheoesophageal fistula,and one case with laryngeal papilloma.The main complications were sputum blockage,infection,and granulation proliferation.One child died of secretion blockage,while the other children were successfully evacuated from the T-tube.The longest retention time of the T-tube was 367 days.Five patients experienced hoarseness after removing the T-tube,and upon re-examination with fiberoptic bronchoscopy,no recurrence of subglottic stenosis was observed.There was no respiratory distress or wheezing,and there were no abnormalities observed during regular outpatient follow-up after discharge.After discharge,the quality of life of the six surviving children improved compared to preoperative,and they all resumed oral feeding.There were no complaints of swallowing difficulties or aspiration during outpatient follow-up.But they were all combined with malnutrition.Conclusion:The Montgomery T-tube is a secure and dependable airway stent utilized for airway remodeling and the maintenance of airway patency following interventional surgery.For critically ill children,early management of airway clearance and infection prevention are imperative.

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