1.MRI-based habitat radiomics for evaluating lymph node metastasis in renal cell carcinoma
Xu BAI ; Xu FU ; Honghao XU ; Shaopeng ZHOU ; Tongyu JIA ; Sicheng YI ; Houming ZHAO ; Bo LIU ; Xin LIU ; Haili LIU ; Xuetao MU ; Mengmeng ZHANG ; Lixia QI ; Huiyi YE ; Xin MA ; Haiyi WANG
Chinese Journal of Radiology 2025;59(4):384-392
Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.
2.Mechanism of P-bodies recruiting NANOS3 during early oogenesis
Jian-Wei GENG ; Fei HE ; Yi-Dan MA ; Yong-Rui ZHOU ; Xin-Yi MU
Acta Anatomica Sinica 2025;56(3):323-328
Objective To explore the relationship between NANOS3 and P-bodies in oocytes and the mechanism of their interaction during early oogenesis.Methods The co-localization of NANOS3 and dead box helicase 6(DDX6)in day post postnatal 1(1dpp)mouse oocytes was observed by immunofluorescence,and the interaction between NANOS3 and DDX6 was detected by immunoprecipitation.NANOS3 and DDX6 full-length plasmids were constructed to transfect HEK293T cells,and the mechanism of their interaction was investigated by immunofluorescence and immunoprecipitation.NANOS3 transfected HeLa cells to investigate whether NANOS3 had the ability of liquid-liquid phase separation(LLPS)by live-cell imaging.The proteins recruited by P-bodies in early oogenesis were identified by DDX6-immunoprecipitation-mass spectrometry(DDX6-IP-MS).Results NANOS3 and DDX6 colocalized and interacted with each other in 1dpp mouse oocytes.However,the co-localization of NANOS3 and DDX6 was not observed in HEK293T cells that had been transfected,but co-immunoprecipitation still demonstrated an interaction between these two proteins.Besides,live-cell imaging revealed that NANOS3 exhibited dynamic fluid-like properties within cells,which may promote the formation of P-bodies through LLPS.Finally,DDX6-IP-MS revealed that DDX6 might recruit NANOS3 into P-bodies by binding to the NANOS3 interacting protein Pumilio.Conclusion NANOS3 serves as a specific component of P-bodies in neonatal oocytes and may be involved in the regulation of early oogenesis.
3.Textual research on Fuxiong.
Fang-Yuan MU ; Jia-Xin TIAN ; Kun-Yu LI ; Hai-Guang MA ; Feng GAO
China Journal of Chinese Materia Medica 2025;50(6):1715-1720
Fuxiong has a long history of cultivation. Since its first record in the Beneficial Formulas from the Taiping Imperial Pharmacy of the Song Dynasty, Fuxiong had always been used by ancient physicians and became a preponderant variety for some reasons during the periods of the Ming Dynasty, Qing Dynasty, and Republic of China. However, as for modern use, only Chuanxiong Rhizoma is valued, and the medicinal value of Fuxiong is gradually being overlooked. This article systematically researches the nomenclature, producing area, origin, and efficacy of Fuxiong, proving that the planting technology of Fuxiong matured in the Song Dynasty at the latest, slightly later than the emergence of Chuanxiong Rhizoma in the Sui and Tang Dynasties. Over the years, the producing area of Fuxiong has not undergone significant changes, and it is mainly cultivated within Jiangxi province. According to the analysis of the origin of Xiongqiong, combined with modern genetic research, it can be basically clarified that the early source of Xiongqiong may not be single. With the popularization of cultivation, Chuanxiong Rhizoma became a Dao-di herb earliest, gradually replacing Xiongqiong and being recognized clinically. After cultivation, the polyploidy of Chuanxiong Rhizoma varieties formed stable inheritance, forming the later Fuxiong. Medical experts have gradually deepened their understanding of the efficacy of Fuxiong. Initially, they believed that it was a substitute for Chuanxiong Rhizoma and had weaker efficacy than Chuanxiong Rhizoma. Medical experts in Jin and Yuan Dynasties such as Zhu Danxi and Dai Sigong believed that Fuxiong was good at relieving stagnation. Books and records of materia medica in the Ming and Qing Dynasties explicitly proposed the great ability of Fuxiong to relieve stagnation. Fuxiong should be distinguished from Chuanxiong Rhizoma when applied, and the application differences should be clearly reflected in medical records. Based on the comprehensive research in this article, it can be concluded that although most of ancient physicians have attached great importance to genuineness of Chuanxiong Rhizoma, Fuxiong, as a dominant variety of traditional application, has a clear historical context and significant efficacy characteristics, worthy of further in-depth study.
Drugs, Chinese Herbal/history*
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China
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Medicine, Chinese Traditional/history*
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History, Ancient
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Humans
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History, Medieval
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Plants, Medicinal/chemistry*
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Rhizome/growth & development*
4.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
5.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
6.MRI-based habitat radiomics for evaluating lymph node metastasis in renal cell carcinoma
Xu BAI ; Xu FU ; Honghao XU ; Shaopeng ZHOU ; Tongyu JIA ; Sicheng YI ; Houming ZHAO ; Bo LIU ; Xin LIU ; Haili LIU ; Xuetao MU ; Mengmeng ZHANG ; Lixia QI ; Huiyi YE ; Xin MA ; Haiyi WANG
Chinese Journal of Radiology 2025;59(4):384-392
Objective:To evaluate the efficacy of preoperative prediction of regional lymph node (RLN) metastasis in renal cell carcinoma (RCC) using a machine learning model based on habitat imaging radiomics from renal MRI.Methods:This cross-sectional study retrospectively analyzed 220 patients with RCC who underwent nephrectomy and RLN dissection at four medical centers of Chinese PLA General Hospital from January 2010 to August 2023. The cohort included 65 patients with RLN metastasis and 155 without. A stratified random sampling method was used to divide 175 patients from the first medical center into a training set ( n=140) and an internal test set ( n=35) in an 8∶2 ratio, while 45 patients from the third, fourth, and fifth medical centers constituted the external test set. The primary RCC lesions were categorized into 15 habitat subregions based on corticomedullary-phase enhancement and T 2WI signal intensity on MRI, and the volume fractions of different subregions were analyzed. In the training cohort, radiomics features derived from the habitat subregions were used to construct a radiomics model employing various machine learning algorithms, including extremely random trees (ET), gradient boosting decision trees (GBDT), random forest (RF), and support vector machine (SVM). The optimal model was selected and combined with RLN short-axis diameter to develop a combined model. The efficacy of each model in predicting RLN metastasis was evaluated using the receiver operating characteristic (ROC) curve. Results:The volume fraction of hyper-enhanced hyper-intense regions in the non-metastatic group was significantly higher than that in the metastatic group (0.05±0.09 vs. 0.02±0.03; t=3.00, P=0.003). Among the machine learning models constructed using 15 optimal habitat radiomics features, the SVM model demonstrated the best performance, with area under the ROC curve (AUC) values of 0.85 (95% CI 0.72-0.98) in the internal test set and 0.82 (95% CI 0.67-0.98) in the external test set, surpassing those of the ET, GBDT, and RF models. The combined model, integrating the SVM model with RLN short-axis diameter, achieved AUC values of 0.94 (95% CI 0.85-1.00) in the internal test set and 0.89 (95% CI 0.78-1.00) in the external test set, with RLN short-axis diameter contributing AUC values of 0.81 (95% CI 0.66-0.96) and 0.81 (95% CI 0.68-0.94), respectively. The diagnostic sensitivity of the combined model was 91.7% in the internal test set and 85.7% in the external test set, with specificities of 78.3% and 67.7%, respectively. Conclusion:The combined model based on MRI habitat imaging radiomics and RLN short-axis diameter demonstrates excellent preoperative assessment capability for RLN metastasis in RCC.
7.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
8.RBM46 is essential for gametogenesis and functions in post-transcriptional roles affecting meiotic cohesin subunits.
Yue LV ; Gang LU ; Yuling CAI ; Ruibao SU ; Liang LIANG ; Xin WANG ; Wenyu MU ; Xiuqing HE ; Tao HUANG ; Jinlong MA ; Yueran ZHAO ; Zi-Jiang CHEN ; Yuanchao XUE ; Hongbin LIU ; Wai-Yee CHAN
Protein & Cell 2023;14(1):51-63
RBM46 is a germ cell-specific RNA-binding protein required for gametogenesis, but the targets and molecular functions of RBM46 remain unknown. Here, we demonstrate that RBM46 binds at specific motifs in the 3'UTRs of mRNAs encoding multiple meiotic cohesin subunits and show that RBM46 is required for normal synaptonemal complex formation during meiosis initiation. Using a recently reported, high-resolution technique known as LACE-seq and working with low-input cells, we profiled the targets of RBM46 at single-nucleotide resolution in leptotene and zygotene stage gametes. We found that RBM46 preferentially binds target mRNAs containing GCCUAU/GUUCGA motifs in their 3'UTRs regions. In Rbm46 knockout mice, the RBM46-target cohesin subunits displayed unaltered mRNA levels but had reduced translation, resulting in the failed assembly of axial elements, synapsis disruption, and meiotic arrest. Our study thus provides mechanistic insights into the molecular functions of RBM46 in gametogenesis and illustrates the power of LACE-seq for investigations of RNA-binding protein functions when working with low-abundance input materials.
Animals
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Mice
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3' Untranslated Regions/genetics*
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Cell Cycle Proteins/metabolism*
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Gametogenesis/genetics*
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Meiosis/genetics*
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Nuclear Proteins/genetics*
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RNA-Binding Proteins/genetics*
9.Predictive value of preoperative liver function for perioperative massive blood transfusion in patients undergoing ascending aorta surgery
Lihui QIAN ; Caimin ZHU ; Zhangsheng ZHAO ; Lei WANG ; Wei ZHOU ; Qile XIN ; Youli MA ; Qitian MU
Chinese Journal of Blood Transfusion 2023;36(12):1118-1123
【Objective】 To explore the predictive value of preoperative liver function for massive blood transfusion (MBT) in patients undergoing ascending aorta surgery. 【Methods】 Data from 238 patients undergoing ascending aorta surgery in the Department of Cardiovascular Surgery at The Affiliated Lihuili Hospital of Ningbo University were collected. Preoperative liver function tests were performed for all patients. Based on the perioperative transfusion volumes of red blood cell suspension, patients were divided into the MBT group, non-MBT group, and no blood transfusion (NBT) group. Clinical data during the perioperative period were compared among different groups. Receiver operating characteristic curve (ROC curve) analysis was used to assess the predictive value of liver function indicators for MBT and determine cut-off values. 【Results】 Compared with the non-MBT group and NBT group, the MBT group showed statistically significant differences in preoperative levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), direct bilirubin (DBIL), and serum albumin (SA) (P<0.05). ROC curve analysis revealed that AST had the largest area under the curve (AUC) for predicting MBT, with a value of 0.723. ALT had the highest specificity for predicting MBT at 86.7%, and SA had the highest sensitivity at 89.7%. When AST >28.50 U/L, ALT >40.00 U/L, SA ≤34.55 g/L, and DBIL >4.25 μmol/L, there was a significant increase in the transfusion volume of various blood components and the incidence of MBT. 【Conclusion】 Preoperative liver function indicators (AST, ALT, SA, DBIL) have a moderate predictive value for MBT in patients undergoing ascending aorta surgery.
10.Exploration of the indications for pedicled transverse rectus abdominis myocutaneous flap combined with deep inferior epigastric artery perforator flap for breast reconstruction
Yutong YUAN ; Boyang XU ; Su FU ; Shangshan LI ; Dali MU ; Minqiang XIN ; Weiwei CHEN ; Wenyue LIU ; Zhaohan CHEN ; Xingyi DU ; Xiaomu MA ; Ao FU ; Yiye OUYANG ; Chunjun LIU ; Jie LUAN
Chinese Journal of Plastic Surgery 2023;39(9):939-946
Objective:This study aimed to explore the clinical application value of the indication selection criteria for bi-pedicled deep inferior epigastric arterial perforator flap(DIEP) versus pedicled transverse rectus abdominis myocutaneous flap(TRAM) combined with DIEP for breast reconstruction.Methods:The clinical data of patients who underwent delayed bi-pedicled abdominal flap breast reconstruction after breast cancer surgery in the Department of Oncoplastic and Reconstructive Breast Surgery and Department of Mammoplasty, Plastic Surgery Hospital, Chinese Academy of Medical Sciences from January 2008 to April 2022 were retrospectively analyzed. According to the indications for each procedure, corresponding blood supply source was selected. Subsequently, patients were divided into two groups: bi-pedicled DIEP group and pedicled TRAM+ DIEP combined flap group according to the type of blood supply source. The indication selection criteria for pedicled TRAM+ DIEP combined flap was as follows: lack of two groups of recipient vessels; no dominant perforator in the abdominal donor site; previous abdominal liposuction or abdominal surgery with large dissection range and severe scar; patients were unable to tolerate prolonged surgery or had high risk factors for microsurgery. A comparison of breast reconstruction surgery characteristics was conducted between the two groups. Independent-samples t-test, rank sum test, Chi-square test and Fisher’s exact probability method were used to analyze various data including age, body mass index (BMI), time interval between breast cancer surgery and breast reconstruction surgery, history of radiotherapy, history of chemotherapy, history of smoking, history of lower abdominal surgery, history of hypertension, original surgical incision type, length and width of flap, hospitalization length, preoperative and postoperative conditions, as well as postoperative complications. Statistical significance was defined at P<0.05. Results:A total of 54 patients who underwent unilateral breast reconstruction were included in this study with a mean age of 42.2 years (range, 30-59 years). The pedicled TRAM+ DIEP combined flap group consisted of 21 patients with a mean age of 42.7 years (range, 33-56 years) while the bi-pedicled DIEP group comprised 33 patients with a mean age of 41.8 years (30-59 years). Out of the 54 patients, a total of 38 were eventually followed up, comprising 14 in the pedicled TRAM+ DIEP combined flap group and 24 in the bi-pedicled DIEP group. The average follow-up duration for the pedicled TRAM+ DIEP combined flap group was 42 months (range, 6-69 months). Abdominal bulge occurred in one patient, while another patient experienced abdominal hernia. The average follow-up duration for the bi-pedicled DIEP group was 47 months (6-179 months), with no reported cases of abdominal bulge or abdominal hernia. There were no statistically significant differences observed between the two groups regarding age, BMI, time interval between breast cancer surgery and breast reconstruction surgery, history of radiotherapy or chemotherapy, history of smoking, history of lower abdominal surgery, history of hypertension, original surgical incision type, length and width of flap, hospitalization length or time to ambulation (all P>0.05). However, there was a statistically significant difference noted in duration of surgery between the pedicled TRAM+ DIEP combined flap group and bi-pedicled DIEP group [6.0(5.5-6.5) hours vs. 8.5(8.0-8.8) hours] ( P<0.01). Comparison analysis revealed no statistically significant differences in terms of partial flap necrosis (0/21 vs. 1/33), abdominal incision dehiscence (2/21 vs. 2/33), abdominal bulge (1/14 vs. 0 /24) or abdominal hernia (1/1 vs. 0/24) between the two groups ( P>0.05). Conclusion:For patients who needed bilateral vascular pedicled lower abdominal wall for breast reconstruction, utilizing a pedicled TRAM+ DIEP combined flap did not increase surgical complication risks. The proposed indication selection criteria for using a pedicled TRAM + DIEP combined flap outlined in this study could serve as guidance when choosing methods for bi-pedicled abdominal flap breast reconstruction.

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