1.Role of Innate Trained Immunity in Diseases
Chuang CHENG ; Yue-Qing WANG ; Xiao-Qin MU ; Xi ZHENG ; Jing HE ; Jun WANG ; Chao TAN ; Xiao-Wen LIU ; Li-Li ZOU
Progress in Biochemistry and Biophysics 2025;52(1):119-132
		                        		
		                        			
		                        			The innate immune system can be boosted in response to subsequent triggers by pre-exposure to microbes or microbial products, known as “trained immunity”. Compared to classical immune memory, innate trained immunity has several different features. Firstly, the molecules involved in trained immunity differ from those involved in classical immune memory. Innate trained immunity mainly involves innate immune cells (e.g., myeloid immune cells, natural killer cells, innate lymphoid cells) and their effector molecules (e.g., pattern recognition receptor (PRR), various cytokines), as well as some kinds of non-immune cells (e.g., microglial cells). Secondly, the increased responsiveness to secondary stimuli during innate trained immunity is not specific to a particular pathogen, but influences epigenetic reprogramming in the cell through signaling pathways, leading to the sustained changes in genes transcriptional process, which ultimately affects cellular physiology without permanent genetic changes (e.g., mutations or recombination). Finally, innate trained immunity relies on an altered functional state of innate immune cells that could persist for weeks to months after initial stimulus removal. An appropriate inducer could induce trained immunity in innate lymphocytes, such as exogenous stimulants (including vaccines) and endogenous stimulants, which was firstly discovered in bone marrow derived immune cells. However, mature bone marrow derived immune cells are short-lived cells, that may not be able to transmit memory phenotypes to their offspring and provide long-term protection. Therefore, trained immunity is more likely to be relied on long-lived cells, such as epithelial stem cells, mesenchymal stromal cells and non-immune cells such as fibroblasts. Epigenetic reprogramming is one of the key molecular mechanisms that induces trained immunity, including DNA modifications, non-coding RNAs, histone modifications and chromatin remodeling. In addition to epigenetic reprogramming, different cellular metabolic pathways are involved in the regulation of innate trained immunity, including aerobic glycolysis, glutamine catabolism, cholesterol metabolism and fatty acid synthesis, through a series of intracellular cascade responses triggered by the recognition of PRR specific ligands. In the view of evolutionary, trained immunity is beneficial in enhancing protection against secondary infections with an induction in the evolutionary protective process against infections. Therefore, innate trained immunity plays an important role in therapy against diseases such as tumors and infections, which has signature therapeutic effects in these diseases. In organ transplantation, trained immunity has been associated with acute rejection, which prolongs the survival of allografts. However, trained immunity is not always protective but pathological in some cases, and dysregulated trained immunity contributes to the development of inflammatory and autoimmune diseases. Trained immunity provides a novel form of immune memory, but when inappropriately activated, may lead to an attack on tissues, causing autoinflammation. In autoimmune diseases such as rheumatoid arthritis and atherosclerosis, trained immunity may lead to enhance inflammation and tissue lesion in diseased regions. In Alzheimer’s disease and Parkinson’s disease, trained immunity may lead to over-activation of microglial cells, triggering neuroinflammation even nerve injury. This paper summarizes the basis and mechanisms of innate trained immunity, including the different cell types involved, the impacts on diseases and the effects as a therapeutic strategy to provide novel ideas for different diseases. 
		                        		
		                        		
		                        		
		                        	
2.Expert consensus on standardized clinical applications of minimally invasive tooth extraction techniques
Bo JIA ; Qin WANG ; Jun CHEN ; Guangsen ZHENG ; Song FAN ; Qingsong YE ; Yan HE ; Fugui ZHANG ; Yadong WU ; Feng LIU ; Kexiong OUYANG ; Leitao ZHANG ; Xiaozhi LV ; Jianjiang ZHAO
Journal of Southern Medical University 2024;44(5):1004-1014
		                        		
		                        			
		                        			Tooth extraction is a common and widely employed therapeutic procedure in oral and maxillofacial surgery.Minimally invasive tooth extraction can reduce both physical and psychological trauma to the patients,and is widely recommended as a first-line clinical treatment.But currently no guidelines or consensus has been available to provide a systematic introduction of minimally invasive tooth extraction to guide the clinical practices.To address this issue,this consensus,based on a comprehensive literature review and clinical experiences of experts,systematically summarizes the indications,target patients,and contraindications of minimally invasive tooth extraction,the overall workflow of this procedure(preoperative preparation,surgical steps,postoperative management,postoperative instructions,medications,and follow-up),and its common postoperative complications to provide a comprehensive guidance for clinical application of this technique.
		                        		
		                        		
		                        		
		                        	
3.Nanomaterial-based Therapeutics for Biofilm-generated Bacterial Infections
Zhuo-Jun HE ; Yu-Ying CHEN ; Yang ZHOU ; Gui-Qin DAI ; De-Liang LIU ; Meng-De LIU ; Jian-Hui GAO ; Ze CHEN ; Jia-Yu DENG ; Guang-Yan LIANG ; Li WEI ; Peng-Fei ZHAO ; Hong-Zhou LU ; Ming-Bin ZHENG
Progress in Biochemistry and Biophysics 2024;51(7):1604-1617
		                        		
		                        			
		                        			Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment. 
		                        		
		                        		
		                        		
		                        	
4.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.
		                        		
		                        		
		                        		
		                        	
5.Clinical characteristics of 17 patients with monkeypox
Yao-Qin HE ; Mei-Zhen HUANG ; Jun LIU ; Ting-Ting LIANG ; Feng-Quan FENG ; Qian LI ; Sha LI ; Chao-Yong HE
Chinese Journal of Infection Control 2024;23(8):1007-1011
		                        		
		                        			
		                        			Objective To analyze the epidemiological and clinical characteristics of patients with monkeypox.Methods Data of 17 patients with monkeypox hospitalized in a hospital in Nanning City from July to October 2023 were collected retrospectively.The epidemiological history,clinical manifestations,laboratory examinations,treat-ment and prognosis were analyzed and summarized.Results All 17 patients were male,with a median age of 28 years old.Fifteen(88.2%)patients were men who had sex with men(MSM)within 21 days prior to onset.Major clinical manifestations were rash and fever.Rashes distributed mainly in the anus,perineum and genitals(82.4%),followed by the trunk and limbs(52.9%),head and face(35.3%),while soles and palms were rare.Some patients had swollen inguinal lymph nodes.All patients were discharged from hospital after improvement,with an average hospital stay of 7 days.Conclusion The monkeypox epidemic in Nanning area of Guangxi occurs mainly in MSM population,with fever and rashes as the major symptoms.All patients have mild disease and good prognosis.
		                        		
		                        		
		                        		
		                        	
6.A comparative evaluation of the role of musculoskeletal ultrasound in diagnosing symptomatic joint lesions in patients with rheumatoid arthritis and gouty arthritis
Peiyao WANG ; Shengqian XU ; Danqing HE ; Yang CEN ; Yangyang QIN ; Jun LI ; Liping SHAO ; Meng HUANG
Acta Universitatis Medicinalis Anhui 2024;59(5):880-884
		                        		
		                        			
		                        			Objective To compare the ultrasound signs of symptomatic joint lesions in rheumatoid arthritis (RA) and gouty arthritis (GA), musculoskeletal ultrasound (MSUS) was utilized.Methods A retrospective analysis was performed for 85 hospitalized patients with RA and 55 hospitalized patients with GA in the same period, and the differences in general data, diseased joints and ultrasound signs between the two groups were compared.Re-sults The gender, age and diseased joints of the two groups were statistically significant (all P<0.05).The de-tection rate of knee joint lesions was the highest;the RA group had high sensitivity, high specificity of meniscal in-jury, and high diagnostic efficiency of bone erosion, while the diagnostic performance of the three combined ultra-sound signs of punctate strong echo, double track sign and tophi in the GA group was higher than that of any indi-vidual diagnosis, and the sensitivity and specificity were also higher.The course of disease in the RA group was positively correlated with bone erosion (P<0.05) , and the course in the GA group was positively correlated with tophi (P<0.05).Conclusion The ultrasound signs of RA and GA are different, and MSUS has good value in the diagnosis and differential diagnosis of the two.
		                        		
		                        		
		                        		
		                        	
7.Expert consensus on standardized clinical applications of minimally invasive tooth extraction techniques
Bo JIA ; Qin WANG ; Jun CHEN ; Guangsen ZHENG ; Song FAN ; Qingsong YE ; Yan HE ; Fugui ZHANG ; Yadong WU ; Feng LIU ; Kexiong OUYANG ; Leitao ZHANG ; Xiaozhi LV ; Jianjiang ZHAO
Journal of Southern Medical University 2024;44(5):1004-1014
		                        		
		                        			
		                        			Tooth extraction is a common and widely employed therapeutic procedure in oral and maxillofacial surgery.Minimally invasive tooth extraction can reduce both physical and psychological trauma to the patients,and is widely recommended as a first-line clinical treatment.But currently no guidelines or consensus has been available to provide a systematic introduction of minimally invasive tooth extraction to guide the clinical practices.To address this issue,this consensus,based on a comprehensive literature review and clinical experiences of experts,systematically summarizes the indications,target patients,and contraindications of minimally invasive tooth extraction,the overall workflow of this procedure(preoperative preparation,surgical steps,postoperative management,postoperative instructions,medications,and follow-up),and its common postoperative complications to provide a comprehensive guidance for clinical application of this technique.
		                        		
		                        		
		                        		
		                        	
8.Genetic Subtypes and Pretreatment Drug Resistance in the Newly Reported Human Immunodeficiency Virus-Infected Men Aged≥50 Years Old in Guangxi.
Ning-Ye FANG ; Wen-Cui WEI ; Jian-Jun LI ; Ping CEN ; Xian-Xiang FENG ; Dong YANG ; Kai-Ling TANG ; Shu-Jia LIANG ; Yu-Lan SHAO ; Hua-Xiang LU ; He JIANG ; Qin MENG ; Shuai-Feng LIU ; Qiu-Ying ZHU ; Huan-Huan CHEN ; Guang-Hua LAN ; Shi-Xiong YANG ; Li-Fang ZHOU ; Jing-Lin MO ; Xian-Min GE
Acta Academiae Medicinae Sinicae 2023;45(3):399-404
		                        		
		                        			
		                        			Objective To analyze the genetic subtypes of human immunodeficiency virus (HIV) and the prevalence of pretreatment drug resistance in the newly reported HIV-infected men in Guangxi. Methods The stratified random sampling method was employed to select the newly reported HIV-infected men aged≥50 years old in 14 cities of Guangxi from January to June in 2020.The pol gene of HIV-1 was amplified by nested reverse transcription polymerase chain reaction and then sequenced.The mutation sites associated with drug resistance and the degree of drug resistance were then analyzed. Results A total of 615 HIV-infected men were included in the study.The genetic subtypes of CRF01_AE,CRF07_BC,and CRF08_BC accounted for 57.4% (353/615),17.1% (105/615),and 22.4% (138/615),respectively.The mutations associated with the resistance to nucleoside reverse transcriptase inhibitors (NRTI),non-nucleoside reverse transcriptase inhibitors (NNRTI),and protease inhibitors occurred in 8 (1.3%),18 (2.9%),and 0 patients,respectively.M184V (0.7%) and K103N (1.8%) were the mutations with the highest occurrence rates for the resistance to NRTIs and NNRTIs,respectively.Twenty-two (3.6%) patients were resistant to at least one type of inhibitors.Specifically,4 (0.7%),14 (2.3%),4 (0.7%),and 0 patients were resistant to NRTIs,NNRTIs,both NRTIs and NNRTIs,and protease inhibitors,respectively.The pretreatment resistance to NNRTIs had much higher frequency than that to NRTIs (2.9% vs.1.3%;χ2=3.929,P=0.047).The prevalence of pretreatment resistance to lamivudine,zidovudine,tenofovir,abacavir,rilpivirine,efavirenz,nevirapine,and lopinavir/ritonavir was 0.8%, 0.3%, 0.7%, 1.0%, 1.3%, 2.8%, 2.9%, and 0, respectively. Conclusions CRF01_AE,CRF07_BC,and CRF08_BC are the three major strains of HIV-infected men≥50 years old newly reported in Guangxi,2020,and the pretreatment drug resistance demonstrates low prevalence.
		                        		
		                        		
		                        		
		                        			Male
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		                        			Humans
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		                        			Middle Aged
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		                        			Reverse Transcriptase Inhibitors/therapeutic use*
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		                        			HIV Infections/drug therapy*
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		                        			Drug Resistance, Viral/genetics*
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		                        			China/epidemiology*
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		                        			Mutation
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		                        			HIV-1/genetics*
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		                        			Protease Inhibitors/therapeutic use*
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		                        			Genotype
		                        			
		                        		
		                        	
9.HbA1c comparison and diagnostic efficacy analysis of multi center different glycosylated hemoglobin detection systems.
Ping LI ; Ying WU ; Yan XIE ; Feng CHEN ; Shao qiang CHEN ; Yun Hao LI ; Qing Qing LU ; Jing LI ; Yong Wei LI ; Dong Xu PEI ; Ya Jun CHEN ; Hui CHEN ; Yan LI ; Wei WANG ; Hai WANG ; He Tao YU ; Zhu BA ; De CHENG ; Le Ping NING ; Chang Liang LUO ; Xiao Song QIN ; Jin ZHANG ; Ning WU ; Hui Jun XIE ; Jina Hua PAN ; Jian SHUI ; Jian WANG ; Jun Ping YANG ; Xing Hui LIU ; Feng Xia XU ; Lei YANG ; Li Yi HU ; Qun ZHANG ; Biao LI ; Qing Lin LIU ; Man ZHANG ; Shou Jun SHEN ; Min Min JIANG ; Yong WU ; Jin Wei HU ; Shuang Quan LIU ; Da Yong GU ; Xiao Bing XIE
Chinese Journal of Preventive Medicine 2023;57(7):1047-1058
		                        		
		                        			
		                        			Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R2 of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
		                        		
		                        		
		                        		
		                        			Pregnancy
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		                        			Child
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		                        			Humans
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		                        			Female
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		                        			Glycated Hemoglobin
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		                        			Cohort Studies
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		                        			Diabetes Mellitus/diagnosis*
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		                        			Sensitivity and Specificity
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		                        			ROC Curve
		                        			
		                        		
		                        	
10.Optimization of perioperative treatment strategies for locally advanced esophageal squamous cell carcinoma from the perspective of tumor heterogeneity.
Xiao Zheng KANG ; Rui Xiang ZHANG ; Zhen WANG ; Xian Kai CHEN ; Jian Jun QIN ; Yin LI ; Qi XUE ; Jie HE
Chinese Journal of Gastrointestinal Surgery 2023;26(4):334-338
		                        		
		                        			
		                        			Recent advances in multimodality treatment offer excellent opportunities to rethink the paradigm of perioperative management for locally advanced esophageal squamous cell carcinoma. One treatment clearly doesn't fit all in terms of a broad disease spectrum. Individualized treatment of local control of bulky primary tumor burden (advanced T stage) or systemic control of nodal metastatic tumor burden (advanced N stage) is essential. Given that clinically applicable predictive biomarkers are still awaited, therapy selection guided by diverse phenotypes of tumor burden (T vs. N) is promising. Potential challenges regarding the use of immunotherapy may also boost this novel strategy in the future.
		                        		
		                        		
		                        		
		                        			Humans
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		                        			Esophageal Squamous Cell Carcinoma/surgery*
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		                        			Carcinoma, Squamous Cell/pathology*
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		                        			Esophageal Neoplasms/pathology*
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		                        			Combined Modality Therapy
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		                        			Immunotherapy
		                        			
		                        		
		                        	
            

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