1.Cognitive Disorders Awareness and Associated Risk Factors in Xizang Autonomous Region
Yu HAO ; Junshan WANG ; Ma ZHUO ; Quzhen SUOLANG ; Shiyong JI ; Yaxiong HU ; Zhijie DING ; Zhuoga CIDAN ; Jing YUAN ; Yuhua ZHAO
Medical Journal of Peking Union Medical College Hospital 2025;16(2):472-478
To investigate the awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region and its influencing factors, thereby providing a basis for targeted prevention and treatment efforts. From April to December 2024, a questionnaire survey was conducted among permanent residents aged ≥18 years (residing in the Xizang Autonomous Region for 180 days or more). The survey was primarily conducted online, supplemented by QR code distribution during community medical outreach by healthcare workers. Demographic information and data on awareness of cognitive disorders were collected, and an ordered Logistic regression model was used to analyze influencing factors in the overall population and stratified by occupation. A total of 327 questionnaires were collected, with 14 excluded (13 for not meeting residency requirements and 1 for self-reported diagnosis of cognitive impairment), leaving 313 valid questionnaires. The average age of respondents was 42.0±11.9 years; 108 (34.5%) were male, and 205 (65.5%) were female. Most respondents were from Lhasa (78.6%, 246/313); 179 (57.2%) were healthcare workers, and 134 (42.8%) were non-healthcare workers. Regarding awareness of cognitive impairment disorders, 7.3% (23/313) were "unaware", 75.7% (237/313) were "partially aware", and 16.9% (53/313) were "well aware".Ordered Logistic regression analysis revealed that education level of high school or below ( Awareness of cognitive impairment disorders among residents of the Xizang Autonomous Region needs improvement. Educational level, occupation, and prior contact with cognitive impairment patients significantly influence disease awareness. Enhancing overall education levels and using vivid clinical case presentations in health education and public outreach are key strategies to improve public awareness of cognitive impairment disorders.
2.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.
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.High-throughput screening of novel TFEB agonists in protecting against acetaminophen-induced liver injury in mice.
Xiaojuan CHAO ; Mengwei NIU ; Shaogui WANG ; Xiaowen MA ; Xiao YANG ; Hua SUN ; Xujia HU ; Hua WANG ; Li ZHANG ; Ruili HUANG ; Menghang XIA ; Andrea BALLABIO ; Hartmut JAESCHKE ; Hong-Min NI ; Wen-Xing DING
Acta Pharmaceutica Sinica B 2024;14(1):190-206
Macroautophagy (referred to as autophagy hereafter) is a major intracellular lysosomal degradation pathway that is responsible for the degradation of misfolded/damaged proteins and organelles. Previous studies showed that autophagy protects against acetaminophen (APAP)-induced injury (AILI) via selective removal of damaged mitochondria and APAP protein adducts. The lysosome is a critical organelle sitting at the end stage of autophagy for autophagic degradation via fusion with autophagosomes. In the present study, we showed that transcription factor EB (TFEB), a master transcription factor for lysosomal biogenesis, was impaired by APAP resulting in decreased lysosomal biogenesis in mouse livers. Genetic loss-of and gain-of function of hepatic TFEB exacerbated or protected against AILI, respectively. Mechanistically, overexpression of TFEB increased clearance of APAP protein adducts and mitochondria biogenesis as well as SQSTM1/p62-dependent non-canonical nuclear factor erythroid 2-related factor 2 (NRF2) activation to protect against AILI. We also performed an unbiased cell-based imaging high-throughput chemical screening on TFEB and identified a group of TFEB agonists. Among these agonists, salinomycin, an anticoccidial and antibacterial agent, activated TFEB and protected against AILI in mice. In conclusion, genetic and pharmacological activating TFEB may be a promising approach for protecting against AILI.
6.Efficacy and mechanism of Xiaoshuan enteric-coated capsule as an adjunctive treatment for ischemic stroke: A randomized clinical trial
Chunli Wen ; Zhixia Su ; Zhibin Ding ; Cungen Ma ; Fengyun Hu ; Lijuan Song ; Lingqun Zhu
Journal of Traditional Chinese Medical Sciences 2024;11(4):405-414
Objective:
To explore the clinical efficacy of Xiaoshuan enteric-coated capsule (XSECC) in treating cerebral infarction and its potential mechanism of action.
Methods:
Patients with acute ischemic stroke (AIS) of the qi deficiency and blood stasis type were randomly assigned to the control and observation groups. They were evaluated using the National Institutes of Health Stroke Scale (NIHSS), Activities of Daily Living (ADL), Hachinskilnchemic Scale (HIS), Barthel Index (BI), clinical efficacy scores, and TCM syndrome scores on days 0, 14, 30, and 90. Furthermore, VEGF and BDNF levels were measured on days 30 and 90. Finally, we analyzed the changes in each scale score and vascular neurological factor in both groups.
Results:
After 14 days of treatment, the difference values in NIHSS, ADL, and BI were higher, and TCM syndrome and clinical efficacy scores were increased in the observation group compared with those of the control group (all P < .05). After 30 days, the NIHSS, ADL, HIS, and TCM syndrome scores were decreased compared with those of the control group, while BI and clinical efficacy scores were increased (all P < .05). After 90 days, the difference value in ADL was higher, and TCM syndrome score was increased in the observation group compared with that of the control group (P = .047, P = .005, respectively). The levels of VEGF and BDNF were higher in the observation group than in the control group on days 14, 30, and 90 (all P < .05). VEGF and BDNF levels on day 0 were associated with prognosis of patients with AIS; therefore, they have a predictive value for the prognosis of acute cerebral infarction.
Conclusions
XSECC therapy can improve clinical outcomes in patients with acute and recurrent cerebral infarctions. Its mechanism of action may be associated with the secretion of VEGF and BDNF.
7.Determination of Selenium in Organic Matrices Using Hydride Generation Atomic Fluorescence Spectrometry Combined with Online Oxygen Combustion
Yuan-Yuan MA ; Xiao-Hui HU ; Yong-Yu DING ; Xiang-Dong GAO ; Tai-Cheng DUAN
Chinese Journal of Analytical Chemistry 2024;52(10):1602-1608
An online sample decomposition and detection method for high-throughput determination of Se content in organic samples was established based on oxygen combustion combined with hydride generation atomic fluorescence spectrometry.The sole product of Se in oxygen combustion,SeO2,was quantitatively captured on the walls of the combustion flask in an open system.It was then eluted online and reacted in situ with 10%(V/V)HC1 carrier solution and 2%(m/V)NaBH4 reductant solution within the combustion flask.After optimization,for a maximum sample processing amount of 0.2 g,the sample analysis throughput was 20 sample/h.The detection limit(LOD,3SD)for Se reached 0.012 mg/kg,and the relative standard deviations for parallel determinations(RSDs,n=6)was 1.7%.The analytical results of certified reference materials,scallop(GBW10024)and chicken(GBW10018),were consistent with the certified values,and the analytical results of real samples were in good agreement with those obtained by traditional wet digestion.
8.The therapeutic effect and neurological function impact of dual microcatheter technology in patients with intracranial wide neck aneurysms
Xiuyao MA ; Chao REN ; Bin LIU ; Weipeng CHENG ; Ping HU ; Lei DING ; Xiao ZHOU ; Pengkun FAN
Journal of Clinical Surgery 2024;32(9):915-917
Objective To explore the therapeutic effect of dual microcatheter technology on patients with intracranial wide necked aneurysms and its impact on their neurological function.Method This article adopts a prospective randomized controlled study,collect clinical data of 55 patients with intracranial wide neck aneurysms from the First People's Hospital of Suzhou City from March 2017 to March 2022.According to different treatment methods,divided treatment group 28 cases and control group 27 cases.The control group patients received stent assisted therapy,while the treatment group patients received dual microcatheter intervention therapy.Compare efficacy and complications two groups;changes in NIHSS score and ADL score before and 6 months after surgery;Postoperative prognosis at 6 months.Result The total effective rate of the treatment group was 100.00%,while the total effective rate of the control group was 96.30%;two groups of patients with intracranial wide necked aneurysms treatment efficacy no significant difference(P>0.05).The treatment group complications in patients with intracranial wide necked aneurysms(7.14%)less control group(33.33%)(P<0.05).The two groups NIHSS score of patients with intracranial wide necked aneurysms lower before surgery at 6 months after surgery,while the ADL score higher before surgery(P<0.05);the treatment group NIHSS score of patients with intracranial wide necked aneurysms(8.76±0.87)score lower control group(9.82±0.96)score after 6 months of treatment,while the ADL score(57.82±5.43)score higher control group(64.52±5.16)score(P<0.05).There was no significant difference in mRS Scores between the two groups(P>0.05).Conclusion The dual microcatheter technology has a good therapeutic effect on IWNA patients,can reduce the occurrence of complications,improve patient neurological function.
9.Small molecule deoxynyboquinone triggers alkylation and ubiquitination of Keap1 at Cys489 on Kelch domain for Nrf2 activation and inflammatory therapy
Linghu KE-GANG ; Zhang TIAN ; Zhang GUANG-TAO ; Lv PENG ; Zhang WEN-JUN ; Zhao GUAN-DING ; Xiong SHI-HANG ; Ma QIU-SHUO ; Zhao MING-MING ; Chen MEIWAN ; Hu YUAN-JIA ; Zhang CHANG-SHENG ; Yu HUA
Journal of Pharmaceutical Analysis 2024;14(3):401-415
Activation of nuclear factor erythroid 2-related factor 2(Nrf2)by Kelch-like ECH-associated protein 1(Keap1)alkylation plays a central role in anti-inflammatory therapy.However,activators of Nrf2 through alkylation of Keap1-Kelch domain have not been identified.Deoxynyboquinone(DNQ)is a natural small molecule discovered from marine actinomycetes.The current study was designed to investigate the anti-inflammatory effects and molecular mechanisms of DNQ via alkylation of Keap1.DNQ exhibited signif-icant anti-inflammatory properties both in vitro and in vivo.The pharmacophore responsible for the anti-inflammatory properties of DNQ was determined to be the α,β-unsaturated amides moieties by a chemical reaction between DNQ and N-acetylcysteine.DNQ exerted anti-inflammatory effects through activation of Nrf2/ARE pathway.Keap1 was demonstrated to be the direct target of DNQ and bound with DNQ through conjugate addition reaction involving alkylation.The specific alkylation site of DNQ on Keap1 for Nrf2 activation was elucidated with a synthesized probe in conjunction with liquid chromatography-tandem mass spectrometry.DNQ triggered the ubiquitination and subsequent degra-dation of Keap1 by alkylation of the cysteine residue 489(Cys489)on Keap1-Kelch domain,ultimately enabling the activation of Nrf2.Our findings revealed that DNQ exhibited potent anti-inflammatory capacity through α,β-unsaturated amides moieties active group which specifically activated Nrf2 signal pathway via alkylation/ubiquitination of Keap1-Kelch domain,suggesting the potential values of targeting Cys489 on Keap1-Kelch domain by DNQ-like small molecules in inflammatory therapies.
10.Analysis of the effect and symptom progression of hybird surgery for cerebral arteriovenous malformation:a single-center retrospective cohort study
Qianjin DING ; Zihao SONG ; Yongjie MA ; Jiaxing YU ; Peng HU ; Hongqi ZHANG
Chinese Journal of Cerebrovascular Diseases 2024;21(10):664-670
Objective To investigate the safety and efficacy of bybrid surgery in the treatment of cerebral arteriovenous malformation(CAVM)and possible factors for postoperative symptom progression.Methods A total of 61 patients with CAVM admitted to the Department of Neurosurgery,Xuanwu Hospital,Capital Medical University from January 1,2016 to December 31,2021 who underwent bybrid surgery were retrospectively included.Demographic information(sex,age),incidence(first diagnosis of CAVM by imaging and/or first appearance of CAVM-related symptoms such as hemorrhage and epilepsy),time from onset to hybrid surgery,modified Rankin scale(mRS)score at admission,history of previous CAVM treatment(surgical removal of previous CAVM and intravascular treatment),CAVM imaging data(lesion location,size,drainage),Spetzler-Martin grade,lesion density(loose,dense),CAVM combined with aneurysm or aneurysmal structure,surgical method(microsurgery+intraoperative DSA,microsurgery+intraoperative DSA+endovascular embolism),treatment-related complications(intracranial hemorrhage and/or ischemic events and/or edema in surgery-related areas,puncture site hematoma and/or fistula and/or pseudoaneurysm,gastrointestinal and/or gingival bleeding and/or epistaxis,contrast hypersensitivity,all-cause death),clinical and radiological follow-up data were recorded.The safety(treatment-related complications,symptom progression[positive difference between the mRS score at 6 months postoperatively and the baseline mRS score])and effectiveness(occlusion,complete absence of the malformation on DSA at 6 months postoperatively;good prognosis,mRS score≤2 at 6months postoperatively)of hybrid surgery treatment were evaluated.Based on the clinical follow-up results at 6 months after surgery,patients who underwent hybrid surgery for CAVM were divided into the progressive group and the non-progressive group,and their baseline and clinical characteristics were compared.Results(1)Among the 61 patients who underwent hybrid surgery for CAVM,37(60.7%)were male,with a median age of 25(13,42)years;11(18.0%)were asymptomatic,and 39(63.9%)had hemorrhage as their initial symptom,while 11(18.0%)had seizures as their initial symptom.At admission,54(88.5%)patients had an mRS score of ≤2,including 38(62.3%)patients who had undergone previous endovascular embolization and had residual or recurrent CAVM;the Spetzler-Martin grade of the CAVM lesion was Ⅰ,Ⅱ,Ⅲ,or Ⅳ in 13(21.3%),22(36.1%),21(34.4%),and 5(8.2%)patients,respectively;24 patients underwent DSA verification during surgery using a hybrid surgical platform,and 37 patients underwent DSA verification and assisted endovascular embolization using a hybrid surgical platform.(2)Clinical follow-up completion rate was 77.0%(47/61);the follow-up time ranged from 6 to 24 months and the median follow-up time was 12(6,24)months.The good prognosis rate was 91.5%(43/47),there was no death.The incidence of treatment-related complications was 10.6%(5/47).The completion rate of imaging follow-up was 72.1%(44/61)and the median follow-up time was 15(10,22)months.There were 40(90.9%)of CAVM occlusion,2(4.5%)of residual CAVM and 2(4.5%)of recurrent CAVM.(3)Among the 47 patients who completed clinical follow-up,15 patients developed symptoms and 32 patients did not develop symptoms.There were no significant differences in sex,age,onset symptoms,mRS score at admission,lesion location,lesion density and aneurysm or aneurysmal structure between the two groups(all P>0.05).In the progressive group,the proportion of lesions with the largest diameter<3 cm,3-6 cm and>6 cm were 3/15,10/15 and 2/15,respectively,and the largest diameter was mainly 3-6 cm.In the non-progressive group,the proportion of the largest diameter<3 cm and 3-6 cm were 18/32 and 14/32,respectively,and the largest diameter<3 cm was the main proportion(x2=8.321).Deep venous drainage(x2=11.937)and residual and/or recurrence(x2=8.507)were present in the progressive group,and the differences between the groups were statistically significant(all P<0.05).Conclusions Hybrid surgery has certain safety and effectiveness in the treatment of CAVM.Patients with CAVM who experienced progression after undergoing composite surgery have characteristics such as larger maximum diameter,the presence of deep venous drainage and residual and/or recurrence,and the factors affecting progression need to be further explored in the future.


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