1.Dimethyloxalylglycine improves functional recovery through inhibiting cell apoptosis and enhancing blood-spinal cord barrier repair after spinal cord injury.
Wen HAN ; Chao-Chao DING ; Jie WEI ; Dan-Dan DAI ; Nan WANG ; Jian-Min REN ; Hai-Lin CHEN ; Ling XIE
Chinese Journal of Traumatology 2025;28(5):361-369
PURPOSE:
The secondary damage of spinal cord injury (SCI) starts from the collapse of the blood spinal cord barrier (BSCB) to chronic and devastating neurological deficits. Thereby, the retention of the integrity and permeability of BSCB is well-recognized as one of the major therapies to promote functional recovery after SCI. Previous studies have demonstrated that activation of hypoxia inducible factor-1α (HIF-1α) provides anti-apoptosis and neuroprotection in SCI. Endogenous HIF-1α, rapidly degraded by prolylhydroxylase, is insufficient for promoting functional recovery. Dimethyloxalylglycine (DMOG), a highly selective inhibitor of prolylhydroxylase, has been reported to have a positive effect on axon regeneration. However, the roles and underlying mechanisms of DMOG in BSCB restoration remain unclear. Herein, we aim to investigate pathological changes of BSCB restoration in rats with SCI treated by DOMG and evaluate the therapeutic effects of DMOG.
METHODS:
The work was performed from 2022 to 2023. In this study, Allen's impact model and human umbilical vein endothelial cells were employed to explore the mechanism of DMOG. In the phenotypic validation experiment, the rats were randomly divided into 3 groups: sham group, SCI group, and SCI + DMOG group (10 rats for each). Histological analysis via Nissl staining, Basso-Beattie-Bresnahan scale, and footprint analysis was used to evaluate the functional recovery after SCI. Western blotting, TUNEL assay, and immunofluorescence staining were employed to exhibit levels of tight junction and adhesion junction of BSCB, HIF-1α, cell apoptosis, and endoplasmic reticulum (ER) stress. The one-way ANOVA test was used for statistical analysis. The difference was considered statistically significant at p < 0.05.
RESULTS:
In this study, we observed the expression of HIF-1α reduced in the SCI model. DMOG treatment remarkably augmented HIF-1α level, alleviated endothelial cells apoptosis and disruption of BSCB, and enhanced functional recovery post-SCI. Besides, the administration of DMOG offset the activation of ER stress induced by SCI, but this phenomenon was blocked by tunicamycin (an ER stress activator). Finally, we disclosed that DMOG maintained the integrity and permeability of BSCB by inhibiting ER stress, and inhibition of HIF-1α erased the protection from DMOG.
CONCLUSIONS
Our findings illustrate that the administration of DMOG alleviates the devastation of BSCB and HIF-1α-induced inhibition of ER stress.
Spinal Cord Injuries/pathology*
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Animals
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Apoptosis/drug effects*
;
Amino Acids, Dicarboxylic/therapeutic use*
;
Recovery of Function/drug effects*
;
Rats
;
Rats, Sprague-Dawley
;
Hypoxia-Inducible Factor 1, alpha Subunit/metabolism*
;
Male
;
Spinal Cord/blood supply*
2.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
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Male
;
Azoospermia/diagnostic imaging*
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Deep Learning
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Testis/pathology*
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Retrospective Studies
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Adult
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Ultrasonography/methods*
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Sperm Retrieval
;
Sertoli Cell-Only Syndrome/diagnostic imaging*
3.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
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Tooth Fractures/therapy*
4. Treatment advice of small molecule antiviral drugs for elderly COVID-19
Min PAN ; Shuang CHANG ; Xiao-Xia FENG ; Guang-He FEI ; Jia-Bin LI ; Hua WANG ; Du-Juan XU ; Chang-Hui WANG ; Yan SUN ; Xiao-Yun FAN ; Tian-Jing ZHANG ; Wei WEI ; Ling-Ling ZHANG ; Jim LI ; Fei-Hu CHEN ; Xiao-Ming MENG ; Hong-Mei ZHAO ; Min DAI ; Yi XIANG ; Meng-Shu CAO ; Xiao-Yang CHEN ; Xian-Wei YE ; Xiao-Wen HU ; Ling JIANG ; Yong-Zhong WANG ; Hao LIU ; Hai-Tang XIE ; Ping FANG ; Zhen-Dong QIAN ; Chao TANG ; Gang YANG ; Xiao-Bao TENG ; Chao-Xia QIAN ; Guo-Zheng DING
Chinese Pharmacological Bulletin 2023;39(3):425-430
COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.
5.Not Available.
Chinese Acupuncture & Moxibustion 2023;43(11):1226-1228
Humans
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Ankle
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Acupuncture Therapy
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Stroke
6.Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model.
Chun-Jie LIU ; Hua-Yi LI ; Yue GAO ; Gui-Yan XIE ; Jian-Hua CHI ; Gui-Ling LI ; Shao-Qing ZENG ; Xiao-Ming XIONG ; Jia-Hao LIU ; Lin-Li SHI ; Xiong LI ; Xiao-Dong CHENG ; Kun SONG ; Ding MA ; An-Yuan GUO ; Qing-Lei GAO
Protein & Cell 2023;14(8):618-622
7.Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study.
Yue GAO ; Chun-Jie LIU ; Hua-Yi LI ; Xiao-Ming XIONG ; Gui-Ling LI ; Sjors G J G IN 'T VELD ; Guang-Yao CAI ; Gui-Yan XIE ; Shao-Qing ZENG ; Yuan WU ; Jian-Hua CHI ; Jia-Hao LIU ; Qiong ZHANG ; Xiao-Fei JIAO ; Lin-Li SHI ; Wan-Rong LU ; Wei-Guo LV ; Xing-Sheng YANG ; Jurgen M J PIEK ; Cornelis D DE KROON ; C A R LOK ; Anna SUPERNAT ; Sylwia ŁAPIŃSKA-SZUMCZYK ; Anna ŁOJKOWSKA ; Anna J ŻACZEK ; Jacek JASSEM ; Bakhos A TANNOUS ; Nik SOL ; Edward POST ; Myron G BEST ; Bei-Hua KONG ; Xing XIE ; Ding MA ; Thomas WURDINGER ; An-Yuan GUO ; Qing-Lei GAO
Protein & Cell 2023;14(6):579-590
Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans
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Female
;
Blood Platelets/pathology*
;
Biomarkers, Tumor/genetics*
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Ovarian Neoplasms/pathology*
;
China
8.Summary of best evidence for low-fiber diet bowel preparation before colonoscopy in children
Ling DING ; Jun XIE ; Xiaoyan FENG ; Xuelian ZHU ; Jie XI ; Qing LI ; Hongying MAO
Chinese Journal of Modern Nursing 2023;29(16):2179-2185
Objective:To retrieve, evaluate, and integrate the best evidence of low-fiber diet bowel preparation before colonoscopy in children, providing a basis for clinical nursing practice.Methods:Guidelines, systematic reviews, evidence summaries, expert consensus, randomized controlled trials and so on related to bowel preparation for low-fiber diet before colonoscopy in children were searched through computers in domestic and foreign databases, guideline websites and professional association websites. The search period was from database establishment to October 31, 2021. The evidence included was graded using the Joanna Briggs Institute (JBI) evidence pre-grading and evidence recommendation grading system (2014 version) in Australia.Results:A total of 8 articles were included, including four guidelines, one evidence summary, one systematic review, one expert consensus, and one randomized controlled trial. A total of 25 pieces of evidence were summarized from 7 aspects, including assessment before eating, duration of dietary restriction, dietary content, evaluation indicators, eating effectiveness, bowel preparation methods, and health education.Conclusions:This study strictly follows evidence-based methods and summarizes the best evidence of low-fiber diet bowel preparation before colonoscopy in children. This can provide reference for the standardization of low-fiber diet bowel preparation before colonoscopy in children in China, and improve the quality of bowel preparation before colonoscopy in children.
9.Chemotherapy initiation with single-course methotrexate alone or combined with dactinomycin versus multi-course methotrexate for low-risk gestational trophoblastic neoplasia: a multi-centric randomized clinical trial.
Lili CHEN ; Ling XI ; Jie JIANG ; Rutie YIN ; Pengpeng QU ; Xiuqin LI ; Xiaoyun WAN ; Yaxia CHEN ; Dongxiao HU ; Yuyan MAO ; Zimin PAN ; Xiaodong CHENG ; Xinyu WANG ; Qingli LI ; Danhui WENG ; Xi ZHANG ; Hong ZHANG ; Quanhong PING ; Xiaomei LIU ; Xing XIE ; Beihua KONG ; Ding MA ; Weiguo LU
Frontiers of Medicine 2022;16(2):276-284
We aimed to evaluate the effectiveness and safety of single-course initial regimens in patients with low-risk gestational trophoblastic neoplasia (GTN). In this trial (NCT01823315), 276 patients were analyzed. Patients were allocated to three initiated regimens: single-course methotrexate (MTX), single-course MTX + dactinomycin (ACTD), and multi-course MTX (control arm). The primary endpoint was the complete remission (CR) rate by initial drug(s). The primary CR rate was 64.4% with multi-course MTX in the control arm. For the single-course MTX arm, the CR rate was 35.8% by one course; it increased to 59.3% after subsequent multi-course MTX, with non-inferiority to the control (difference -5.1%,95% confidence interval (CI) -19.4% to 9.2%, P = 0.014). After further treatment with multi-course ACTD, the CR rate (93.3%) was similar to that of the control (95.2%, P = 0.577). For the single-course MTX + ACTD arm, the CR rate was 46.7% by one course, which increased to 89.1% after subsequent multi-course, with non-inferiority (difference 24.7%, 95% CI 12.8%-36.6%, P < 0.001) to the control. It was similar to the CR rate by MTX and further ACTD in the control arm (89.1% vs. 95.2%, P =0.135). Four patients experienced recurrence, with no death, during the 2-year follow-up. We demonstrated that chemotherapy initiation with single-course MTX may be an alternative regimen for patients with low-risk GTN.
Antineoplastic Combined Chemotherapy Protocols/adverse effects*
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Dactinomycin/adverse effects*
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Female
;
Gestational Trophoblastic Disease/drug therapy*
;
Humans
;
Methotrexate/therapeutic use*
;
Pregnancy
;
Retrospective Studies
10.Expert consensus on the diagnosis and treatment of severe and critical coronavirus disease 2019.
You SHANG ; Jianfeng WU ; Jinglun LIU ; Yun LONG ; Jianfeng XIE ; Dong ZHANG ; Bo HU ; Yuan ZONG ; Xuelian LIAO ; Xiuling SHANG ; Renyu DING ; Kai KANG ; Jiao LIU ; Aijun PAN ; Yonghao XU ; Changsong WANG ; Qianghong XU ; Xijing ZHANG ; Jicheng ZHANG ; Ling LIU ; Jiancheng ZHANG ; Yi YANG ; Kaijiang YU ; Xiangdong GUAN ; Dechang CHEN
Chinese Medical Journal 2022;135(16):1913-1916
Humans
;
COVID-19
;
Consensus
;
SARS-CoV-2
;
China

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