1.Staged Characteristics of Mitochondrial Energy Metabolism in Chronic Heart Failure with Heart-Yang Deficiency Syndrome and Prescription Intervention from Theory of Reinforcing Yang
Zizheng WU ; Xing CHEN ; Lichong MENG ; Yao ZHANG ; Peng LUO ; Jiahao YE ; Kun LIAN ; Siyuan HU ; Zhixi HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):129-138
Chronic heart failure (CHF) is a complex clinical syndrome caused by ventricular dysfunction, with mitochondrial energy metabolism disorder being a critical factor in disease progression. Heart-Yang deficiency syndrome, as the core pathogenesis of CHF, persists throughout the disease course. Insufficiency of heart-Yang leads to weakened warming and propelling functions, resulting in the accumulation of phlegm-fluid, blood stasis, and dampness. This eventually causes Qi stagnation with phlegm obstruction and blood stasis with water retention, forming a vicious cycle that exacerbates disease progression. According to the theory of reinforcing Yang, the clinical experience of the traditional Chinese medicine (TCM) master Tang Zuxuan in treating CHF with heart-Yang deficiency syndrome, and achievements from molecular biological studies, this study innovatively proposes an integrated research framework of "TCM syndrome differentiation and staging-mitochondrial metabolism mechanisms-intervention with Yang-reinforcing prescriptions" which is characterized by the integration of traditional Chinese and Western medicine. Heart-Yang deficiency syndrome is classified into mild (Stage Ⅰ-Ⅱ), severe (Stage Ⅲ), and critical (Stage Ⅳ) stages. The study elucidates the precise correlations between the pathogenesis of each stage and mitochondrial metabolism disorders from theoretical, pathophysiological, and therapeutic perspectives. The mild stage is characterized by impaired biogenesis and substrate-utilization imbalance, corresponding to heart-Yang deficiency and phlegm-fluid aggregation. Linggui Zhugantang and similar prescriptions can significantly improve the expression of peroxisome proliferator-activated receptor gamma co-activator-1α(PGC-1α)/silent information regulator 2 homolog 1 (SIRT1) and ATPase activity. The severe stage centers on oxidative stress and structural damage, reflecting Yang deficiency with water overflow and phlegm-blood stasis intermingling. At this stage, Zhenwu Tang and Qiangxin Tang can effectively mitigate oxidative stress damage, increase adenosine triphosphate (ATP) content, and repair mitochondrial structure. The critical stage arises from calcium overload and mitochondrial disintegration, leading to the collapse of Yin-Yang equilibrium. At this stage, Yang-restoring and crisis-resolving prescriptions such as Fuling Sini Tang and Qili Qiangxin capsules can inhibit abnormal opening of the mitochondrial permeability transition pore (MPTP), reduce cardiomyocyte apoptosis rate, and protect mitochondrial function. By summarizing the characteristics of mitochondrial energy metabolism disorders at different stages of CHF, this study explores the application of the theory of reinforcing Yang in treating heart-Yang deficiency syndrome and provides new insights for the clinical diagnosis and treatment of CHF.
2.Danhong Injection Regulates Ventricular Remodeling in Rat Model of Chronic Heart Failure with Heart-Blood Stasis Syndrome via p38 MAPK/NF-κB Signaling Pathway
Zizheng WU ; Xing CHEN ; Jiahao YE ; Lichong MENG ; Yao ZHANG ; Junyu ZHANG ; Zhixi HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):149-159
ObjectiveTo explore the mechanism of ventricular remodeling mediated by the p38 mitogen-activated protein kinase (MAPK)/nuclear factor kappa B (NF-κB) signaling pathway in the rat model of chronic heart failure (CHF) with heart-blood stasis syndrome, as well as the intervention effect of Danhong injection. MethodsIn vivo experiment: SPF-grade male SD rats were assigned via the random number table method into 4 groups: Sham operation, model, captopril (8.8 mg·kg-1), and Danhong injection (6.0 mL·kg-1). The model of CHF with heart-blood stasis syndrome was established by abdominal aortic constriction, and the sham operation group only underwent laparotomy without constriction. All the groups were treated continuously for 15 days. The tongue color of rats was observed. Echocardiography, hemorheology, heart mass index (HMI), and left ventricular mass index (LVMI) were measured. Hematoxylin-eosin (HE) staining and Masson staining were performed to observe the pathological and fibrotic changes of the myocardial tissue. Enzyme-linked immunosorbent assay (ELISA) was employed to quantify the levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP), interleukin-6 (IL-6), angiotensin Ⅱ (AngⅡ), tumor necrosis factor-α (TNF-α), and Creactive protein (CRP) in the serum, as well as the levels of matrix metalloproteinase-2 (MMP-2) and matrix metalloproteinase-9 (MMP-9) in the myocardial tissue. Western blot was used to quantify the protein levels of p-p38 MAPK/p38 MAPK and p-NF-κB p65/NF-κB p65 in the myocardial tissue. In vitro experiment: H9C2 cardiomyocytes were treated with 1×10-6 mol·L-1 AngⅡ to establish a model of myocardial hypertrophy. H9C2 cardiomyocytes were allocated into normal, model, inhibitor + Danhong injection, Danhong injection (20 mL·L-1), and inhibitor (SB203580, 5 μmol·L-1) groups. CCK-8 assay was used to detect the viability of H9C2 cardiomyocytes. Rhodamine-labeled phalloidin staining was used to reveal the area of cardiomyocytes. Real-time PCR was performed to determine the mRNA levels of atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP). Western blot was used to assess the protein levels of p-p38 MAPK/p38 MAPK and p-NF-κB p65/NF-κB p65. ResultsIn vivo experiment: Compared with the sham operation group, the model group showed purplish-dark tongue with decreased R, G, B values of the tongue surface (P<0.01), increased whole blood viscosity (at low, medium, and high shear rates) (P<0.01), decreased left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) (P<0.01), increased left ventricular end-diastolic diameter (LVIDd), left ventricular end-systolic diameter (LVIDs), and left ventricular posterior wall thickness at end-diastole (LVPWd) (P<0.01), raised LVMI and HMI (P<0.01), and elevated levels of NT-proBNP, TNF-α, IL-6, and CRP in the serum and MMP-2 and MMP-9 in the myocardial tissue (P<0.01). The HE and Masson staining of the myocardial tissue showed compensatory myocardial hypertrophy, fibrosis, and massive inflammatory cell infiltration in the model group. Additionally, the model group presented up-regulated protein levels of p-p38 MAPK/p38 MAPK and p-NF-κB p65/NF-κB p65 in the myocardial tissue (P<0.01). Compared with the model group, each administration group showed increased R, G, B values of the tongue surface (P<0.05, P<0.01), decreased whole blood viscosity (at low, medium, and high shear rates) (P<0.05, P<0.01), increased LVEF and LVFS (P<0.01), decreased LVIDd, LVIDs, and LVPWd (P<0.05, P<0.01), declined LVMI and HMI (P<0.05, P<0.01), and lowered levels of NT-proBNP, TNF-α, IL-6, and CRP in the serum and MMP-2 and MMP-9 in the myocardial tissue (P<0.01). HE and Masson staining showed alleviated compensatory myocardial hypertrophy, reduced fibrosis, and decreased expression of p-p38 MAPK/p38 MAPK and p-NF-κB p65/NF-κB p65 in the myocardial tissue (P<0.01). In vitro experiment: When the concentration of Danhong injection reached 20 mL·L-1, the survival rate of H9C2 cardiomyocytes was the highest (P<0.01). Compared with the normal group, the model group showed up-regulated mRNA levels of ANP and BNP (P<0.01), increased relative cell surface area (P<0.01), and raised protein levels of p-p38 MAPK/p38 MAPK and p-NF-κB p65/NF-κB p65 (P<0.01). Compared with the model group, each administration group showed down-regulated mRNA levels of ANP and BNP (P<0.01), reduced relative cell surface area (P<0.05, P<0.01), and down-regulated protein levels of p-p38 MAPK/p38 MAPK and p-NF-κB p65/NF-κB p65 (P<0.05, P<0.01). ConclusionDanhong injection can regulate ventricular remodeling through the p38 MAPK/NF-κB pathway, thereby exerting a protective effect on the rat model of CHF with heart-blood stasis syndrome.
3.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
4.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
5.Comprehensive Evaluation of Acupuncture for Secondary Dysmenorrhea Based on Health Technology Assessment
Xue WU ; Zhiran LI ; Jing HU ; Xing LIAO ; Weiwei SUN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(9):165-174
ObjectiveTo carry out a health technology assessment (HTA) of acupuncture for secondary dysmenorrhea (SD) caused by adenomyosis and endometriosis, in order to provide a reference for relevant medical decision-making. MethodsFrom the perspective of the health system, the assessment covers seven areas, including the technical characteristics, safety, effectiveness, economics, ethical fairness, organizational adaptability, and impact on patients and society. The results are reported accordingly. ResultsThe operational specifications of acupuncture are standardized, and the conditions for its use are clearly defined. Acupuncture has a lower overall incidence of adverse events. The main adverse events are localized pain, subcutaneous bleeding, and dizziness, with most symptoms being mild, all of which have corresponding standard treatments. No reports on occupational or environmental safety were found, and the safety operation specifications are available for reference. Compared with conventional Western medicine, acupuncture demonstrates higher effectiveness. Acupuncture may improve the quality of life scores of patients, though no significant difference was observed. The cost of acupuncture is higher than that of conventional Western medicine, but its overall economic value is greater. The informed consent information is relatively comprehensive. Most patients are aware of the potential benefits and risks of acupuncture and voluntarily opt for it. The treatment process fully respects patient privacy and human rights. The clinical application of acupuncture follows the current acupuncture medical service model, with no special requirements for the level of medical institutions. Patient accessibility and affordability are suitable. Patient satisfaction is high. Most patients indicated they would choose acupuncture again for SD. The main barriers to choosing acupuncture are psychological factors (such as fear of acupuncture), cost, and transportation issues. Nearly 70% of patients receiving acupuncture treatment benefit from medical insurance reimbursement, with reimbursement rates generally above 50%, indicating strong social security support. ConclusionThe implementation of HTA for acupuncture in the treatment of SD, using the standards for traditional Chinese medicine (TCM), is feasible. The implementation steps are clear, the data sources for each evaluation domain are adequate, the analysis methods are practical, and the evaluation results are comprehensive. Experts recommend that the findings be used as a reference for relevant medical decision-making.
6.Effects of Tongmai Yangxin Pills (通脉养心丸) on Arrhythmia and K+/Ca2+ Channel-Related Proteins and Gene Expression in Myocardial Tissue of Ischemia-Reperfusion Model Rats
Zuoying XING ; Yucai HU ; Huanhuan SONG ; Boyong QIU ; Yankun SONG ; Yongxia WANG
Journal of Traditional Chinese Medicine 2025;66(8):851-859
ObjectiveTo investigate the effects and potential mechanisms of Tongmai Yangxin Pills (通脉养心丸) (TYPs) in preventing ischemia-reperfusion (I/R)-induced arrhythmia. MethodsSixty male SD rats were randomly assigned to sham operation group, model group, amiodarone group, low-dose and high-dose TYPs group, with 12 rats in each group. The sham operation group and the model group received 10 g/(kg·d) normal saline by gavage, the amiodarone group received 60 mg/(kg·d) amiodarone, and the low-dose and high-dose TMP groups received 1 g/(kg·d) and 2 g/(kg·d) TYPs solution respectively, for 21 days, administered twice daily. On the day after the last administration, the I/R model was established in the model and medication groups by ligation of the left anterior descending coronary artery with a cannula, while the sham operation group underwent the same procedure without ligation. Electrocardiogram recordings were continuously monitored throughout the modeling process. Heart rate was recorded at five time points, before ischemia (t-0), 5-10 min after ischemia (t-1), 10-15 min after ischemia (t-2), 15-30 min after ischemia (t-3), and during the first 2 min of reperfusion (t-4); the incidence of arrhythmia including ventricular premature beats (VPB), ventricular tachycardia (VT), and ventricular fibrillation (VF) was recorded; arrhythmia scores were calculated. After 24 hours of reperfusion, left ventricular myocardial tissue was collected. Hematoxylin-eosin (HE) staining was performed to observe pathological changes. RT-PCR was used to detect the mRNA expression of microRNA-1 (miRNA-1), microRNA-133a (miRNA-133a), and potassium (K+) and calcium (Ca2+) ion channel-related genes including KCND2, KCNH2, KCNE2, KCNQ1, KCNE1, KCNJ2, CACNA1C, and CACNB1. Western blot analysis was used to measure protein levels of transient outward potassium current protein (Kv4.2), rapidly activating delayed rectifier potassium current protein (HERG), slowly activating delayed rectifier potassium current protein (KvLQT1), inward rectifier potassium current protein (Kir2.1), and L-type calcium channel protein (Cav1.2). ResultsCompared with sham operation group, the model group showed diffuse myocardial hemorrhage, inflammatory cell infiltration, myocardial necrosis, nuclear pyknosis, vacuolar degeneration, and disrupted myocardial fibers; the model group also exhibited a decreased heart rate (t-1 to t-4), increased arrhythmia scores, elevated miRNA-1 and miRNA-133a expression, and decreased mRNA expression of KCND2, KCNH2, KCNE2, KCNQ1, KCNE1, KCNJ2, CACNA1C, and CACNB1 in myocardial tissue; additionally, Kv4.2, HERG, KvLQT1, Kir2.1, and Cav1.2 protein levels significantly reduced (P<0.01). Compared to the model group, all medication-treated groups showed reduced myocardial damage, including less hemorrhage, reduced inflammatory infiltration, and improved myocardial structure, with the high-dose TYPs group exhibiting the most significant improvement; the amiodarone group and high-dose TYPs group showed a significant increase in heart rate (t-1 to t-4), lower arrhythmia scores, reduced miRNA-1 and miRNA-133a expression; the high-dose TYPs group exhibited significantly increased mRNA expression levels of KCND2, KCNH2, KCNQ1, KCNJ2, and CACNA1C, as well as elevated protein levels of Kv4.2, HERG, KvLQT1, Kir2.1, and Cav1.2 (P<0.05 or P<0.01). ConclusionTMPs can improve myocardial damage and reduce the incidence of ventricular arrhythmia in I/R rats. The underlying mechanism may be related to the downregulation of miRNA-1 and miRNA-133a gene expression, as well as the upregulation of K+ and Ca2+ channel-related genes and proteins.
7.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
8.Expression of SORT1 in Gastric Cancer Tissue and Its Effect on Gastric Cancer Cell Biology.
Lin-Yu XIAO ; Ting DUAN ; Yong-Sheng XIA ; Yue CHEN ; Xing-Zhou YAN ; Jian-Guo HU
Acta Academiae Medicinae Sinicae 2025;47(3):343-353
Objective To investigate the expression of SORT1 in the gastric cancer tissue and analyze its relationship with clinical prognosis of patients as well as the pathways and mechanisms involved in gastric cancer progression.Methods The Gene Expression Profiling Interaction Analysis database,Western blot,and immunohistochemistry were employed to predict and analyze the expression of SORT1 in the gastric cancer and the adjacent tissue.The clinical case information of 109 patients who underwent radical surgery for gastric cancer in the First Affiliated Hospital of Bengbu Medical University from April 2015 to April 2017 was collected to analyze the relationship of SORT1 with the clinicopathological parameters and prognosis of the patients.Cell proliferation was detected by the CCK-8 assay and colony formation assay,while cell migration and invasion were assessed by the scratch assay and Transwell assay,respectively.Western blot was employed to determine the expression of proteins related to epithelial-mesenchymal transition(EMT)in gastric cancer cells,followed by further analysis on molecular mechanism through which SORT1 regulates EMT in gastric cancer cells.Results Western blot and immunocytochemistry results showed that SORT1 was highly expressed in the gastric cancer tissue(P=0.003,P<0.001),which was positively correlated with malignant progression of tumors(all P<0.05).The Kaplan-Meier survival analysis revealed shortened postoperative survival periods for the patients with high expression of SORT1(P<0.001).The Cox regression model indicated that SORT1 expression was an independent risk factor affecting the 5-year survival rate after surgery for gastric cancer patients(P<0.001).Up-regulation of SORT1 expression promoted the proliferation,migration,invasion,and EMT of gastric cancer cells(all P<0.05),while down-regulation of SORT1 showed the opposite effects(all P<0.05).Western blot results showed that high expression of SORT1 promoted the expression of β-catenin,cyclin D1,and c-Myc(all P<0.05).Moreover,in vitro use of the Wnt/β-catenin pathway inhibitor(XAV939)effectively suppressed the EMT enhancement caused by high expression of SORT1 in gastric cancer cells(all P<0.05).Conclusions SORT1 is highly expressed in gastric cancer and affects patients' postoperative survival periods.It is involved in the proliferation,migration,and invasion of gastric cancer cells and may promote the EMT of gastric cancer cells by activating the Wnt/β-catenin pathway.
Humans
;
Stomach Neoplasms/pathology*
;
Cell Proliferation
;
Epithelial-Mesenchymal Transition
;
Cell Movement
;
Prognosis
;
Cell Line, Tumor
;
Adaptor Proteins, Vesicular Transport/metabolism*
;
Male
;
Female
;
Middle Aged
9.The construction and application of a trauma limb salvage map in Shaanxi province.
Meng WANG ; Jian-Min LIU ; Xing-Bo DANG ; Long-Yang MA ; Gong-Liang DU ; Wei HU
Chinese Journal of Traumatology 2025;28(4):235-240
Trauma is an important cause of death in young- and middle-aged people. Trauma is comprehensive and includes many surgical specialties, and the surgical techniques of these specialties have long been mature. To reduce the mortality and disability rate of trauma patients, it is necessary to improve trauma management. Trauma has attracted attention in China and trauma treatment and care developed rapidly in recent years. To decrease traumatic mortality and disability rates, our team is committed to building an efficient trauma system in Shaanxi province and has successfully developed a trauma limb salvage map to address the high rates of amputation and disability in patients with limb injuries. This article elaborates on the construction experience of a trauma limb salvage map and its application details in Shaanxi province of China.
Humans
;
China
;
Limb Salvage/methods*
;
Wounds and Injuries/surgery*
;
Male
;
Extremities/injuries*
;
Adult
;
Amputation, Surgical
;
Middle Aged
;
Female
10.Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound.
Jia-Ying HU ; Zhen-Zhe LIN ; Li DING ; Zhi-Xing ZHANG ; Wan-Ling HUANG ; Sha-Sha HUANG ; Bin LI ; Xiao-Yan XIE ; Ming-De LU ; Chun-Hua DENG ; Hao-Tian LIN ; Yong GAO ; Zhu WANG
Asian Journal of Andrology 2025;27(2):254-260
Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans
;
Male
;
Azoospermia/diagnostic imaging*
;
Deep Learning
;
Testis/pathology*
;
Retrospective Studies
;
Adult
;
Ultrasonography/methods*
;
Sperm Retrieval
;
Sertoli Cell-Only Syndrome/diagnostic imaging*

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