1.Expert Consensus on Clinical Application of Pingxuan Capsules
Yuer HU ; Yanming XIE ; Yaming LIN ; Yuanqi ZHAO ; Yihuai ZOU ; Mingquan LI ; Xiaoming SHEN ; Wei PENG ; Changkuan FU ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):201-210
As a patented characteristic medicine of Yi ethnic minority, Pingxuan capsules have the effects of nourishing the liver and kidney, pacifying the liver, and subduing Yang. With the main indications of dizziness, headache, palpitations, tinnitus, insomnia, dreaminess, waist and knee soreness caused by liver-kidney deficiency and liver Yang upward disturbance, Pingxuan capsules are widely used in the treatment of posterior circulation ischemic vertigo, vestibular migraine, benign paroxysmal positional vertigo. However, the current knowledge is limited regarding the efficacy, syndrome differentiation, and safety of this medicine. On the basis of summarizing the experience of clinicians and the existing evidence, this study invites clinical experts of traditional Chinese and Western medicine, pharmaceutical experts, and methodological experts from relevant fields across China to conduct evidence-based evaluation of Pingxuan capsules. The evaluation follows the Specifications for the Development of Clinical Expert Consensus on Chinese Patent Medicines issued by the Standardization Office of the China Association of Chinese Medicine, and reaches 5 recommendations and 16 consensus suggestions. The consensus clarifies the clinical applications, efficacy, dose, course of treatment, combination of medicines, precautions, and contraindications of Pingxuan capsules in the treatment of vertigo and explains the safety of clinical application. This consensus is applicable to clinicians (traditional Chinese medicine, Western medicine, and integrated traditional Chinese and Western medicine) and pharmacists in tertiary hospitals, secondary hospitals, and community-level medical and health institutions across China, providing a reference for the rational use of Pingxuan capsules in the treatment of vertigo. It is hoped that the promotion of this consensus can facilitate the rational use of drugs in clinical practice, reduce the risk of drug use, and give full play to the advantages of Pingxuan capsules in the treatment of vertigo diseases. This consensus has been reviewed and published by the China Association of Chinese Medicine, with the number GS/CACM330-2023.
2.Guidelines for vaccination of kidney transplant candidates and recipients in China
Jian Zhang ; Jun Lin ; Weijie Zhang ; Xiaoming Ding ; Xiaopeng Hu ; Wujun Xue
Organ Transplantation 2025;16(2):177-190
In order to further standardize the vaccination of kidney transplant candidates and recipients in China, the Branch of Organ Transplantation of Chinese Medical Association has organized experts in kidney transplantation and infectious diseases. Based on the "Vaccination of Solid Organ Transplant Candidates and Recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice", and in combination with the clinical reality of infectious diseases and vaccination after organ transplantation in China, as well as referring to relevant recommendations from home and abroad in recent years, these guidelines are formulated from aspects such as epidemiology, types of vaccines, vaccination principles, target population, and specific vaccine administration. The "Guidelines for Vaccination of Kidney Transplant Candidates and Recipients in China" aims to provide theoretical reference for medical workers in the field of kidney transplantation in China, regarding the vaccination of kidney transplant candidates and recipients. It is expected to better guide the vaccination of kidney transplant candidates and recipients, reduce the risk of postoperative infection, and improve survival outcomes.
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.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.
6.The application of surgical robots in head and neck tumors.
Xiaoming HUANG ; Qingqing HE ; Dan WANG ; Jiqi YAN ; Yu WANG ; Xuekui LIU ; Chuanming ZHENG ; Yan XU ; Yanxia BAI ; Chao LI ; Ronghao SUN ; Xudong WANG ; Mingliang XIANG ; Yan WANG ; Xiang LU ; Lei TAO ; Ming SONG ; Qinlong LIANG ; Xiaomeng ZHANG ; Yuan HU ; Renhui CHEN ; Zhaohui LIU ; Faya LIANG ; Ping HAN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(11):1001-1008
7.PARylation promotes acute kidney injury via RACK1 dimerization-mediated HIF-1α degradation.
Xiangyu LI ; Xiaoyu SHEN ; Xinfei MAO ; Yuqing WANG ; Yuhang DONG ; Shuai SUN ; Mengmeng ZHANG ; Jie WEI ; Jianan WANG ; Chao LI ; Minglu JI ; Xiaowei HU ; Xinyu CHEN ; Juan JIN ; Jiagen WEN ; Yujie LIU ; Mingfei WU ; Jutao YU ; Xiaoming MENG
Acta Pharmaceutica Sinica B 2025;15(9):4673-4691
Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.
8.An improved reporter gene assay for evaluating the biological activity of recombinant human growth hormone.
Xiaoming ZHANG ; Heyang LI ; Ying HUANG ; Ping LV ; Lvyin WANG ; Kezheng XU ; Yi LI ; Xinyue HU ; Yue SUN ; Cheng-Gang LIANG ; Jing LI
Journal of Pharmaceutical Analysis 2025;15(5):101073-101073
Image 1.
9.Application value of the "liftoff" modular method in robot-assisted laparoscopic surgery for complex adrenal tumors
Shengtao ZENG ; Chenglin YANG ; Wei WANG ; Jiatao YE ; Zhengfei HU ; Xiaoming ZHANG ; Huifen ZHANG ; Tianpei LIU
Chinese Journal of Urology 2024;45(4):282-286
Objective:This study aims to explore the application value of the "liftoff" modular method in robot-assisted laparoscopic surgery for complex adrenal tumors.Methods:We retrospectively analyzed the clinical data of 15 patients with complex adrenal tumors treated at the General Hospital of Southern Theater Command from May 2022 to June 2023. The cohort comprised 5 males and 10 females with an average age of (47.6±7.8) years and a body mass index (BMI) of 26.5 (23.8-27.9) kg/m 2. Among the patients, 3 had a BMI ≥28 kg/m 2, 2 had diabetes, 6 had hypertension, and 1 had coronary heart disease. Preoperative endocrine hormone examination revealed abnormal blood catecholamines in 5 cases and abnormal blood cortisol in 2 cases. Ultrasound and CT scans indicated that 9 tumors were located on the left side and 6 on the right, with 4 cases showing tumor compression on adjacent large blood vessels or organs. The average tumor diameter was (7.61±2.79) cm, with 10 cases having a diameter ≥ 6 cm. All patients underwent laparoscopic adrenalectomy assisted by robots through the transperitoneal approach. The surgeries were performed in a lateral position under general anesthesia. The "liftoff" modular method was utilized to separate the treatment of adrenal tumors into lateral, medial, dorsal, cephalic, and adrenal renal plane sides. Tumors were appropriately manipulated during the operations to achieve a "liftoff" shape. Different modular dissociation steps were adopted based on the size and location of the left and right adrenal tumors. The left adrenal gland was dissected in the order of medial and dorsal, adrenal renal plane side, and lateral and cephalic sides, while the right adrenal gland was dissected in the order of lateral and dorsal, adrenal renal plane side, and medial and cephalic sides. Postoperative related indicators and follow-up status of patients were recorded and analyzed. Results:All 15 surgeries were successfully completed without any conversions to open adrenalectomy, with an average operation time of 118 (102-130) minutes and an average intraoperative blood loss of 102 (69-163) ml. The postoperative drainage time was 4 (3-5) days, and the postoperative hospital stay was 6 (4-7) days. The postoperative pathological diagnoses included 5 cases of pheochromocytoma, 3 cases of macronodular adrenal hyperplasia, 6 cases of adrenocortical adenoma, and 1 case of myelolipoma. Follow-up for 6-12 months after surgery showed good recovery and no recurrence.Conclusions:The application of the "liftoff" modular method in robot-assisted laparoscopic surgery for complex adrenal tumors is safe and feasible. It efficiently aids in tumor removal and holds significant clinical application value.
10.Efficacy of remimazolam for induction of anesthesia in patients with colorectal cancer
Xi ZHANG ; Yuanyuan RONG ; Tao HU ; Xiaoming LIU ; Fengjiao ZHANG ; Zhenya ZHANG ; Jianfeng FU ; Huaqin LIU
Chinese Journal of Anesthesiology 2024;44(8):967-971
Objective:To evaluate the efficacy of remimazolam for induction of anesthesia in patients with colorectal cancer.Methods:This was a prospective study. Eighty-two patients scheduled for elective colon and rectal tumor surgery under general anesthesia from June to November 2023 at our hospital, aged 18-80 yr, with body mass index of 18.5-28.0 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ, were divided into 2 groups ( n=41 each) using a random number table method: propofol group (group P) and remimazolam group (group R). Propofol 1.5 mg/kg was intravenously injected in group R and remimazolam 0.3 mg/kg was intravenously injected in group P. When the bispectral index (BIS) value≤60, sufentanil 0.5 μg/kg and cisatracurium 0.2 mg/kg were intravenously injected in both groups. Heart rate and mean arterial pressure were recorded before induction of anesthesia (T 0), 3 min after induction (T 1), immediately after intubation (T 2), and 5 min after tracheal intubation (T 3). The occurrence of hypotension, hypertension, tachycardia and bradycardia during induction, use of vasoactive drugs, and injection pain were recorded. The time to loss of consciousness, time from the beginning of administration to BIS value ≤60, time from the beginning of administration to tracheal intubation, occurrence of BIS value > 60 immediately after intubation and rescue sedation were recorded. Results:Eighty patients were finally included, with 40 in group P and 40 in group R. Compared with group P, the heart rate and mean arterial pressure were significantly increased at T 1 and T 2, the incidence of hypotension and bradycardia was decreased, and the time from the beginning of administration to BIS value ≤60 was prolonged ( P<0.05), and no statistically significant changes were found in the other parameters in group R ( P>0.05). Conclusions:Remimazolam 0.3 mg/kg can be safely and effectively used for anesthesia induction and provides better efficacy in maintaining hemodynamic stability when compared with propofol 1.5 mg/kg in patients with colorectal cancer.

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