1.Automatic epileptic seizure detection model based on multi-channel recurrence plots and SE-VGG16
Bo LI ; Huiqi BAO ; Ningning WEI ; Mengmeng WANG ; Weimin GAO
Chinese Journal of Medical Physics 2025;42(11):1494-1499
An automatic epileptic seizure detection model based on multi-channel recurrence plots and SE-VGG16 is proposed to enhance the accuracy of automatic detection of epileptic seizures.Firstly,triaxial accelerometer is used to collect patients'motion signals as a substitute of electroencephalogram signals,and these signals are converted into two-dimensional images through recurrence plots and then subjected to multi-channel fusion for generating multi-channel recurrence plots.Subsequently,squeeze-and-excitation module is employed to improve VGG16,which enhances the network's adaptability to different channels and enables precise classification.Experimental results show that the proposed model achieves the best performance across all indicators,attaining an accuracy of 99.3%,precision of 99.2%,recall rate of 98.9%,and F1-score of 99.0%.This model significantly boosts the accuracy and applicability of epileptic seizure detection,expands the potential of wearable devices for epileptic seizure monitoring in non-clinical settings,and provides a new technical pathway for epilepsy management and research.
2.Feasibility study of a novel three-dimensional small intestinal submucosa patch in porcine hiatal hernia repair
Minxian ZHAO ; Xuefei ZHAO ; Pu WANG ; Pengfei WEI ; Yusheng NIE ; Huiqi YANG
Chinese Journal of General Surgery 2025;34(10):2168-2179
Background and Aims:Laparoscopic hiatal hernia repair(LHHR)is the gold-standard surgical treatment for hiatal hernia(HH),but postoperative recurrence remains a challenge due to hiatal enlargement and disruption of the phrenoesophageal ligament.This study aimed to assess the feasibility,safety,and short-term efficacy of a novel three-dimensional small intestinal submucosa(3D-SIS)patch designed for circumferential crural reinforcement and ligament-like reconstruction in a porcine LHHR model.Methods:Twelve healthy pigs(35-40 kg)were equally randomized into non-mesh group,SIS flat patch group,and 3D-SIS patch group.All animals underwent LHHR and Nissen fundoplication under general anesthesia.In the non-mesh group,the hiatal defect was closed with interrupted sutures.In the SIS flat patch group,a U-shaped SIS patch was placed posterior to the esophagus to reinforce the crura and fixed with medical glue.In the 3D-SIS patch group,an intraoperatively assembled three-dimensional patch was applied,consisting of an upper keyhole-shaped layer for circumferential diaphragmatic reinforcement,a tubular middle part encircling the abdominal esophagus,and a lower small keyhole-shaped patch covering the gastroesophageal junction,all fixed with medical glue.After 3 months,laparotomy was performed to assess recurrence,patch integration,and complications,followed by biomechanical and histological evaluations.Results:All procedures were completed successfully with no deaths or major complications.Operative time was slightly longer in the patch groups,while blood loss was similar.No hernia recurrence or patch migration was observed at 3 months.Biomechanical testing revealed higher ultimate load and Young's modulus in both SIS groups than in the non-mesh group.Histological analysis demonstrated neovascularization and collagen deposition in the patch groups,with the 3D-SIS patch showing more complete circumferential integration and ligament-like tissue formation.Conclusion:The 3D-SIS patch is feasible and safe in porcine LHHR.It provides circumferential diaphragmatic reinforcement and promotes phrenoesophageal ligament-like regeneration,offering a new concept for reducing postoperative recurrence and reconstructing the anti-reflux barrier.
3.The impact of thoracic cage bone structure on the prognosis of locally advanced non‐small cell lung cancer
Guanjie WANG ; Huiqi FAN ; Meng YAN ; Zixi ZHU ; Kai REN ; Lujun ZHAO
Chinese Journal of Radiation Oncology 2025;34(8):772-780
Objective:To evaluate the effect of the radiation dose of thoracic cage bone structure on clinical prognosis in patients with locally advanced non‐small cell lung cancer (LA‐NSCLC) receiving chemoradiotherapy, and to develop and verify a combined model combining the radiation dose of bone structure, the estimated radiation dose of immune cells (EDRIC) and other related factors to predict the prognosis of LA‐NSCLC.Methods:Clinical data of 197 patients with LA‐NSCLC who underwent chemoradiotherapy were retrospectively analyzed. All patients were randomly divided into the training set and testing set at a ratio of 7:3 using computer random partitioning. The EDRIC value was calculated using the model developed by Jin et al. and modified by Ladbury et al. The scope of the thoracic cage structure includes the ribs, sternal manubrium, sternal body, thoracic vertebral body, thoracic vertebral appendages, and thoracic vertebrae. The tumor volume, ERDIC, and average bone structure dose (D mean) were categorized into two groups using the P25, P50, P75 value from the quartile method. Univariate and multivariate Cox proportional hazards regression were used to analyze the influencing factors of overall survival (OS), local progression‐free survival (LPFS), and distant metastasis‐free survival (DMFS) for predicting the outcome, and significant correlated variables were retained to construct a combined prediction model with EDRIC. The receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration curves were plotted for subjects at the 2‐year time point of the combined model to evaluate the predictive performance. The model was visualized through a nomograph. Results:In the thoracic cage bone structure, D mean > 47.3 Gy of the sternal manubrium was an independent risk factor of OS, LPFS, and DMFS of LA-NSCLC patients. D mean > 23.1 Gy of thoracic vertebral body was an independent risk factor of OS, and D mean > 14.4 Gy of thoracic vertebral body was an independent risk factor of DMFS. Among other variables, gross tumor volume (GTV) >50.2 cm 3 was a risk factor for OS, and GTV >87.0 cm 3 was a risk factor for LPFS. Planning target volume >571.9 cm 3 was a risk factor for DMFS. A combined prediction model for OS, LPFS, and DMFS was established with EDRIC using features significantly associated with these three predicted outcomes. The area under the ROC curve (AUC) of OS combined model in the training set and test set were 0.708 and 0.696, respectively, and the AUC of DMFS combined model were 0.675 and 0.639, respectively. The calibration curve and DCA curve of the two prediction endpoints showed that the combined model had good prediction accuracy and clinical benefit. However, the LPFS model was not good in accuracy and clinical applicability. Conclusions:The radiation dose of sternal manubrium and thoracic vertebral body in the thoracic cage bone structure is an independent influencing factor for the prognosis of LA‐NSCLC patients after chemoradiotherapy. The combined model has good predictive performance for OS and DMFS.
4.Implementation of a "hospital-community general practitioner co-management" model for multimorbidity via a mobile-based digital platform
Meng GUO ; Huicui ZHAO ; Huiqi YANG ; Fuqun GUO ; Yuqi ZHANG ; Qiujun WANG ; Lihong JIANG ; Jia MENG
Chinese Journal of General Practitioners 2025;24(7):883-887
Multimorbidity has emerged as a critical global public health challenge, necessitating effective management strategies. In Heilongjiang Province, a cold north region in China with a high prevalence of multimorbidity, healthcare disparities, uneven resource distribution, and inadequate chronic disease control remain pressing issues. Driven by national policies on family physician contracting and regional demands for chronic disease management, this study established a "hospital-community general practitioner co-management" model utilizing a mobile-based digital platform. This model integrates hospital-based general practitioners into primary care teams to optimize resource allocation and enhance multimorbidity management. The initiative aims to explore pathways for improving healthcare system reform and strengthening the chronic disease prevention framework in the region.
5.ALKBH3-regulated m1A of ALDOA potentiates glycolysis and doxorubicin resistance of triple negative breast cancer cells.
Yuhua DENG ; Zhiyan CHEN ; Peixian CHEN ; Yaming XIONG ; Chuling ZHANG ; Qiuyuan WU ; Huiqi HUANG ; Shuqing YANG ; Kun ZHANG ; Tiancheng HE ; Wei LI ; Guolin YE ; Wei LUO ; Hongsheng WANG ; Dan ZHOU
Acta Pharmaceutica Sinica B 2025;15(6):3092-3106
Chemotherapy is currently the mainstay of systemic management for triple-negative breast cancer (TNBC), but chemoresistance significantly impacts patient outcomes. Our research indicates that Doxorubicin (Dox)-resistant TNBC cells exhibit increased glycolysis and ATP generation compared to their parental cells, with this metabolic shift contributing to chemoresistance. We discovered that ALKBH3, an m1A demethylase enzyme, is crucial in regulating the enhanced glycolysis in Dox-resistant TNBC cells. Knocking down ALKBH3 reduced ATP generation, glucose consumption, and lactate production, implicating its involvement in mediating glycolysis. Further investigation revealed that aldolase A (ALDOA), a key enzyme in glycolysis, is a downstream target of ALKBH3. ALKBH3 regulates ALDOA mRNA stability through m1A demethylation at the 3'-untranslated region (3'UTR). This methylation negatively affects ALDOA mRNA stability by recruiting the YTHDF2/PAN2-PAN3 complex, leading to mRNA degradation. The ALKBH3/ALDOA axis promotes Dox resistance both in vitro and in vivo. Clinical analysis demonstrated that ALKBH3 and ALDOA are upregulated in breast cancer tissues, and higher expression of these proteins is associated with reduced overall survival in TNBC patients. Our study highlights the role of the ALKBH3/ALDOA axis in contributing to Dox resistance in TNBC cells through regulation of ALDOA mRNA stability and glycolysis.
6.Enzyme-independent functions of HDAC3 in the adult heart.
Sichong QIAN ; Chen ZHANG ; Wenbo LI ; Shiyang SONG ; Guanqiao LIN ; Zixiu CHENG ; Wenjun ZHOU ; Huiqi YIN ; Yueli WANG ; Haiyang LI ; Ying H SHEN ; Zheng SUN
Acta Pharmaceutica Sinica B 2025;15(7):3561-3574
The cardioprotective effects of histone deacetylase (HDAC) inhibitors (HDIs) are at odds with the deleterious effects of HDAC depletion. Here, we use HDAC3 as a prototype HDAC to address this contradiction. We show that adult-onset cardiac-specific depletion of HDAC3 in mice causes cardiac hypertrophy and contractile dysfunction on a high-fat diet (HFD), excluding developmental disruption as a major reason for the contradiction. Genetically abolishing HDAC3 enzymatic activity without affecting its protein level does not cause cardiac dysfunction on HFD. HDAC3 depletion causes robust downregulation of lipid oxidation/bioenergetic genes and upregulation of antioxidant/anti-apoptotic genes. In contrast, HDAC3 enzyme activity abolishment causes much milder changes in far fewer genes. The abnormal gene expression is cardiomyocyte-autonomous and can be rescued by an enzyme-dead HDAC3 mutant but not by an HDAC3 mutant (Δ33-70) that lacks interaction with the nuclear-envelope protein lamina-associated polypeptide 2β (LAP2β). Tethering LAP2β to the HDAC3 Δ33-70 mutant restored its ability to rescue gene expression. Finally, HDAC3 depletion, not loss of HDAC3 enzymatic activity, exacerbates cardiac contractile functions upon aortic constriction. These results suggest that the cardiac function of HDAC3 in adults is not attributable to its enzyme activity, which has implications for understanding the cardioprotective effects of HDIs.
7.The impact of thoracic cage bone structure on the prognosis of locally advanced non‐small cell lung cancer
Guanjie WANG ; Huiqi FAN ; Meng YAN ; Zixi ZHU ; Kai REN ; Lujun ZHAO
Chinese Journal of Radiation Oncology 2025;34(8):772-780
Objective:To evaluate the effect of the radiation dose of thoracic cage bone structure on clinical prognosis in patients with locally advanced non‐small cell lung cancer (LA‐NSCLC) receiving chemoradiotherapy, and to develop and verify a combined model combining the radiation dose of bone structure, the estimated radiation dose of immune cells (EDRIC) and other related factors to predict the prognosis of LA‐NSCLC.Methods:Clinical data of 197 patients with LA‐NSCLC who underwent chemoradiotherapy were retrospectively analyzed. All patients were randomly divided into the training set and testing set at a ratio of 7:3 using computer random partitioning. The EDRIC value was calculated using the model developed by Jin et al. and modified by Ladbury et al. The scope of the thoracic cage structure includes the ribs, sternal manubrium, sternal body, thoracic vertebral body, thoracic vertebral appendages, and thoracic vertebrae. The tumor volume, ERDIC, and average bone structure dose (D mean) were categorized into two groups using the P25, P50, P75 value from the quartile method. Univariate and multivariate Cox proportional hazards regression were used to analyze the influencing factors of overall survival (OS), local progression‐free survival (LPFS), and distant metastasis‐free survival (DMFS) for predicting the outcome, and significant correlated variables were retained to construct a combined prediction model with EDRIC. The receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration curves were plotted for subjects at the 2‐year time point of the combined model to evaluate the predictive performance. The model was visualized through a nomograph. Results:In the thoracic cage bone structure, D mean > 47.3 Gy of the sternal manubrium was an independent risk factor of OS, LPFS, and DMFS of LA-NSCLC patients. D mean > 23.1 Gy of thoracic vertebral body was an independent risk factor of OS, and D mean > 14.4 Gy of thoracic vertebral body was an independent risk factor of DMFS. Among other variables, gross tumor volume (GTV) >50.2 cm 3 was a risk factor for OS, and GTV >87.0 cm 3 was a risk factor for LPFS. Planning target volume >571.9 cm 3 was a risk factor for DMFS. A combined prediction model for OS, LPFS, and DMFS was established with EDRIC using features significantly associated with these three predicted outcomes. The area under the ROC curve (AUC) of OS combined model in the training set and test set were 0.708 and 0.696, respectively, and the AUC of DMFS combined model were 0.675 and 0.639, respectively. The calibration curve and DCA curve of the two prediction endpoints showed that the combined model had good prediction accuracy and clinical benefit. However, the LPFS model was not good in accuracy and clinical applicability. Conclusions:The radiation dose of sternal manubrium and thoracic vertebral body in the thoracic cage bone structure is an independent influencing factor for the prognosis of LA‐NSCLC patients after chemoradiotherapy. The combined model has good predictive performance for OS and DMFS.
8.Feasibility study of a novel three-dimensional small intestinal submucosa patch in porcine hiatal hernia repair
Minxian ZHAO ; Xuefei ZHAO ; Pu WANG ; Pengfei WEI ; Yusheng NIE ; Huiqi YANG
Chinese Journal of General Surgery 2025;34(10):2168-2179
Background and Aims:Laparoscopic hiatal hernia repair(LHHR)is the gold-standard surgical treatment for hiatal hernia(HH),but postoperative recurrence remains a challenge due to hiatal enlargement and disruption of the phrenoesophageal ligament.This study aimed to assess the feasibility,safety,and short-term efficacy of a novel three-dimensional small intestinal submucosa(3D-SIS)patch designed for circumferential crural reinforcement and ligament-like reconstruction in a porcine LHHR model.Methods:Twelve healthy pigs(35-40 kg)were equally randomized into non-mesh group,SIS flat patch group,and 3D-SIS patch group.All animals underwent LHHR and Nissen fundoplication under general anesthesia.In the non-mesh group,the hiatal defect was closed with interrupted sutures.In the SIS flat patch group,a U-shaped SIS patch was placed posterior to the esophagus to reinforce the crura and fixed with medical glue.In the 3D-SIS patch group,an intraoperatively assembled three-dimensional patch was applied,consisting of an upper keyhole-shaped layer for circumferential diaphragmatic reinforcement,a tubular middle part encircling the abdominal esophagus,and a lower small keyhole-shaped patch covering the gastroesophageal junction,all fixed with medical glue.After 3 months,laparotomy was performed to assess recurrence,patch integration,and complications,followed by biomechanical and histological evaluations.Results:All procedures were completed successfully with no deaths or major complications.Operative time was slightly longer in the patch groups,while blood loss was similar.No hernia recurrence or patch migration was observed at 3 months.Biomechanical testing revealed higher ultimate load and Young's modulus in both SIS groups than in the non-mesh group.Histological analysis demonstrated neovascularization and collagen deposition in the patch groups,with the 3D-SIS patch showing more complete circumferential integration and ligament-like tissue formation.Conclusion:The 3D-SIS patch is feasible and safe in porcine LHHR.It provides circumferential diaphragmatic reinforcement and promotes phrenoesophageal ligament-like regeneration,offering a new concept for reducing postoperative recurrence and reconstructing the anti-reflux barrier.
9.Automatic epileptic seizure detection model based on multi-channel recurrence plots and SE-VGG16
Bo LI ; Huiqi BAO ; Ningning WEI ; Mengmeng WANG ; Weimin GAO
Chinese Journal of Medical Physics 2025;42(11):1494-1499
An automatic epileptic seizure detection model based on multi-channel recurrence plots and SE-VGG16 is proposed to enhance the accuracy of automatic detection of epileptic seizures.Firstly,triaxial accelerometer is used to collect patients'motion signals as a substitute of electroencephalogram signals,and these signals are converted into two-dimensional images through recurrence plots and then subjected to multi-channel fusion for generating multi-channel recurrence plots.Subsequently,squeeze-and-excitation module is employed to improve VGG16,which enhances the network's adaptability to different channels and enables precise classification.Experimental results show that the proposed model achieves the best performance across all indicators,attaining an accuracy of 99.3%,precision of 99.2%,recall rate of 98.9%,and F1-score of 99.0%.This model significantly boosts the accuracy and applicability of epileptic seizure detection,expands the potential of wearable devices for epileptic seizure monitoring in non-clinical settings,and provides a new technical pathway for epilepsy management and research.
10.Implementation of a "hospital-community general practitioner co-management" model for multimorbidity via a mobile-based digital platform
Meng GUO ; Huicui ZHAO ; Huiqi YANG ; Fuqun GUO ; Yuqi ZHANG ; Qiujun WANG ; Lihong JIANG ; Jia MENG
Chinese Journal of General Practitioners 2025;24(7):883-887
Multimorbidity has emerged as a critical global public health challenge, necessitating effective management strategies. In Heilongjiang Province, a cold north region in China with a high prevalence of multimorbidity, healthcare disparities, uneven resource distribution, and inadequate chronic disease control remain pressing issues. Driven by national policies on family physician contracting and regional demands for chronic disease management, this study established a "hospital-community general practitioner co-management" model utilizing a mobile-based digital platform. This model integrates hospital-based general practitioners into primary care teams to optimize resource allocation and enhance multimorbidity management. The initiative aims to explore pathways for improving healthcare system reform and strengthening the chronic disease prevention framework in the region.

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