1.In situ Analytical Techniques for Membrane Protein Interactions
Zi-Yuan KANG ; Tong YU ; Chao LI ; Xue-Hua ZHANG ; Jun-Hui GUO ; Qi-Chang LI ; Jing-Xing GUO ; Hao XIE
Progress in Biochemistry and Biophysics 2025;52(5):1206-1218
		                        		
		                        			
		                        			Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery. 
		                        		
		                        		
		                        		
		                        	
2.Epidemiological characteristics and spatial clustering of severe fever with thrombocytopenia syndrome in Nanjing from 2010 to 2023
Tao MA ; Cong CHEN ; Song-Ning DING ; Qing XU ; Jun-Jun WANG ; Heng-Xue WANG ; Zi-Kang YAN ; Meng-Yuan TIAN ; Yuan-Zhao ZHU ; Hui-Hui LIU
Chinese Journal of Zoonoses 2024;40(9):841-847
		                        		
		                        			
		                        			This study was aimed at understanding the trends in,and scope of,severe fever with thrombocytopenia syndrome(SFTS)in Nanjing,analyzing the spatial distribution pattern,detecting high incidence cluster areas and key popula-tions,and scientifically guiding prevention and control strategies and measures.We obtained data on SFTS cases from 2010 to 2023 in Nanjing from the China Disease Control and Prevention Information System,and described the time,popu-lation,and spatial distribution characteristics.We used joinpoint regression to calculate the annual percentage change(APC)in incidence,then used FleXScan spatial clustering scan analysis to explore spatial clustering areas at the street level.A total of 507 SFTS cases were reported from 2010 to 2023 in Nanjing.The APC was 31.8%(95%CI:22.5%-41.9%,P<0.001),and the reported incidence in 2023 was 1.42/100 000(134 cases).The seasonal indices from May to August were 2.7,2.1,3.0,and 1.3,respectively,accounting for 76.1%of the total cases.The median age was 66(IQR:55,73)years,which gradually increased from 59 years in 2010-2011 to 68 in 2022-2023(P<0.001);94.1%of cases were in individuals 45 years or older.Farmers,homemakers/unemployed individuals,and retirees accounted for 90.1%.The epidemic area increased from 11 streets in four districts in 2010-2011 to 58 streets in 11 dis-tricts in 2022-2023.Except for 2012-2013,global spatial autocorrelation analysis showed positive Moran's I values(0.224-0.526,P<0.001),and FlexScan scan indicated that several streets in Lishui District and Jiangning District were the most likely clusters.Four streets in Pukou District were the secondary clusters from 2018 to 2023,and three streets in Luhe District in 2022-2023 were the secondary clusters(all P<0.05).The reported incidence of SFTS in Nanjing showed a rapid upward trend,with spread of epidemic areas.The spatial distribution pattern was clustered.Strengthened training in diagnosis and treatment technology and detection ability of medical institutions,surveillance in high-incidence areas,tracing of case flow,and health education of tick and disease prevention knowledge are recommended.
		                        		
		                        		
		                        		
		                        	
3.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
		                        			;
		                        		
		                        			Esophageal Squamous Cell Carcinoma/surgery*
		                        			;
		                        		
		                        			Carcinoma, Squamous Cell/pathology*
		                        			;
		                        		
		                        			Esophageal Neoplasms/pathology*
		                        			;
		                        		
		                        			Combined Modality Therapy
		                        			;
		                        		
		                        			Immunotherapy
		                        			
		                        		
		                        	
4.Analysis on the household secondary attack rates of the SARS-CoV-2 Delta variant and the associated factors.
Tao MA ; Song Ning DING ; Jun Jun WANG ; Ya Qiong LIANG ; Qin Yi ZHOU ; Heng Xue WANG ; Yue Yuan ZHAO ; Zi Kang YAN ; Hua Feng FAN ; Nan ZHOU
Chinese Journal of Preventive Medicine 2023;57(1):8-14
		                        		
		                        			
		                        			Objective: To evaluate the household secondary attack rates of the SARS-CoV-2 Delta variant and the associated factors. Methods: A COVID-19 outbreak caused by the Delta variant occurred in Nanjing in July 2021. A total of 235 cases with current addresses in Nanjing were reported from 171 households. The subjects in this study were selected from household close contact(s) of infected cases. The information on household index cases and their contacts were collected, and the household secondary attack rate (HSAR) and the risk factors were analyzed by the multi-factor logistic regression model. Results: A total of 234 cases of household close contacts and 64 household secondary cases were reported from 103 households, and the HSAR was 27.4% (64/234, 95%CI:22.0% to 33.4%). The proportions of household size for 2 to 3, 4 to 5, and 6 to 9 were 64.1% (66), 26.2% (27) and 9.7% (10), respectively. A total of 35 cases of household cluster outbreaks were reported (35/103, 34.0%). The number of the first case in the household (FCH) was 103 and males accounted for 27.2% (28 cases), with the median age (Q1, Q3) of 49 (9, 56). The number of household close contacts was 234 and males accounted for 59.0% (138 cases), with the median age (Q1, Q3) of 42 (20, 55) and the median exposure period (Q1, Q3) of 3 (1, 3) days. The multi-factor logistic regression model showed that the higher HSAR was observed in the FCH with the features of airport staff (OR=2.913, 95%CI:1.469-5.774), detection from home quarantine screening (OR=6.795, 95%CI:1.761-26.219) and detection from mass screening (OR=4.239, 95%CI:1.098-16.368). Meanwhile, higher HSAR was observed in cases with longer household exposure (OR=1.221, 95%CI:1.040-1.432), non-vaccination (OR=2.963, 95%CI:1.288-6.813) and incomplete vaccinations (OR=2.842, 95%CI:0.925-8.731). Conclusion: The generation interval of the Delta variant is shortened, and the ability of transmission within the household is enhanced. In the outbreak in Nanjing, the associated factors of HSAR are occupation, detection route, vaccination and exposure period.
		                        		
		                        		
		                        		
		                        			Male
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			SARS-CoV-2
		                        			;
		                        		
		                        			COVID-19/epidemiology*
		                        			;
		                        		
		                        			Incidence
		                        			;
		                        		
		                        			Family Characteristics
		                        			
		                        		
		                        	
5.Study on the diagnostic value of different posterior cruciate ligament index measurement methods for anterior cruciate ligament injury.
Jun YANG ; Yuan-Jun TENG ; Zun-Lin WANG ; Zhong-Cheng LIU ; Si-Jie CHEN ; Xue-Ping WU ; Yong-Kang NIU ; Ya-Yi XIA
China Journal of Orthopaedics and Traumatology 2023;36(10):926-931
		                        		
		                        			OBJECTIVE:
		                        			To compare the posterior cruciate ligament(PCL) index with six different measurement methods, and analyze and verify its clinical diagnostic value in anterior cruciate ligament (ACL) injury.
		                        		
		                        			METHODS:
		                        			The Magnetic resonance imaging (MRI) data of 225 knee joints in our hospital from May 2018 to March 2022 were retrospectively analyzed, aged from 18 to 60 years old, with a median of 32 years old. On the sagittal MRI images of 114 patients with ACL injury and 111 patients with intact ACL, Measure the straight-line distance (A) between the femoral attachment point and the tibial attachment point of the PCL on the MRI sagittal image and the maximum vertical distance (B) between the straight line and the arcuate mark point of the PCL on the sagittal image, calculate the PCL index and evaluate the diagnostic value of the PCL index for ACL injury.
		                        		
		                        			RESULTS:
		                        			The PCL index of the ACL normal group and the ACL injury group were statistically described. There was no significant difference in PCL index 1, 2, 3 and 6 between the two groups(P>0.05). The difference of PCL index 4 and 5 between the two groups was statistically significant (P<0.001). This study only found that the PCL index 2, 6 in the ACL normal group had a negative correlation with the patient's age (correlation coefficient=-0.213, -0.819;P<0.05), and the PCL index 5 in the ACL injury group was significantly correlated with the patient's body mass index(BMI)had a negative correlation (correlation coefficient=-0.277, P<0.05).
		                        		
		                        			CONCLUSION
		                        			The change of PCL index is helpful for the diagnosis of ACL injury, PCL index 4 and 5 can be used as effective reference indexes for diagnosing ACL injury in clinic.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Young Adult
		                        			;
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Middle Aged
		                        			;
		                        		
		                        			Posterior Cruciate Ligament/diagnostic imaging*
		                        			;
		                        		
		                        			Anterior Cruciate Ligament Injuries/diagnostic imaging*
		                        			;
		                        		
		                        			Anterior Cruciate Ligament
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Knee Joint
		                        			;
		                        		
		                        			Magnetic Resonance Imaging/methods*
		                        			
		                        		
		                        	
6.Does the homologous booster with the inactivated coronavirus disease 2019 vaccine work for the omicron variant? Real-world evidence from Jilin, China.
Jun GUO ; Lei ZHA ; Kai ZENG ; Mingyu SHAO ; Dan CHEN ; Bing WANG ; Yun ZHOU ; Gang YANG ; Xue ZHANG ; Xia ZOU ; Yan ZHANG ; Yan KANG
Chinese Medical Journal 2023;136(23):2892-2894
7.Contactless evaluation of rigidity in Parkinson's disease by machine vision and machine learning.
Xue ZHU ; Weikun SHI ; Yun LING ; Ningdi LUO ; Qianyi YIN ; Yichi ZHANG ; Aonan ZHAO ; Guanyu YE ; Haiyan ZHOU ; Jing PAN ; Liche ZHOU ; Linghao CAO ; Pei HUANG ; Pingchen ZHANG ; Zhonglue CHEN ; Cheng CHEN ; Shinuan LIN ; Jin ZHAO ; Kang REN ; Yuyan TAN ; Jun LIU
Chinese Medical Journal 2023;136(18):2254-2256
8.Phenotypes and genotypes of 78 patients with propionic acidemia.
Xue MA ; Yi LIU ; Zhe Hui CHEN ; Yao ZHANG ; Hui DONG ; Jin Qing SONG ; Ying JIN ; Meng Qiu LI ; Lu Lu KANG ; Ru Xuan HE ; Yuan DING ; Dong Xiao LI ; Hong ZHENG ; Li Ying SUN ; Zhi Jun ZHU ; Yan Ling YANG ; Yongtong CAO
Chinese Journal of Preventive Medicine 2022;56(9):1263-1271
		                        		
		                        			
		                        			Objective: Propionic acidemia is a rare inherited metabolic disorder caused by propionyl CoA carboxylase (PCC) deficiency. This study aims to analyze the clinical characteristics and gene variations of Chinese patients with propionic acidemia, and to explore the correlation between clinical phenotypes and genotypes. Methods: Single-center, retrospective and observational study. Seventy-eight patients of propionic acidemia (46 males and 32 females) from 20 provinces and autonomous regions were admitted from January 2007 to April 2022. Their age of initial diagnosis ranged from 7 days to 15 years. The clinical manifestations, biochemical and metabolic abnormalities, genetic variations, diagnosis, treatment and outcome were studied. Chi-Square test or Mann-Whitney U test were used for statistical analysis. Results: Among 78 cases, 6 (7.7%) were identified by newborn screening; 72 (92.3%) were clinically diagnosed after onset, and the age of onset was 2 hours after birth to 15 years old; 32 cases had early-onset disease and 40 cases had late-onset disease. The initial manifestations included lethargy, hypotonia, vomiting, feeding difficulties, developmental delay, epilepsy, and coma. Among the 74 cases who accepted gene analysis, 35 (47.3%) had PCCA variants and 39 (52.7%) had PCCB variants. A total of 39 PCCA variants and 32 PCCB variants were detected, among which c.2002G>A and c.229C>T in PCCA and c.838dupC and c.1087T>C in PCCB were the most common variants in this cohort. The variants c.1228C>T and c.1283C>T in PCCB may be related to early-onset type. The variants c.838dupC, c.1127G>T and c.1316A>G in PCCB, and c.2002G>A in PCCA may be related to late-onset disease. Six patients detected by newborn screening and treated at asymptomatic stage developed normal. The clinically diagnosed 72 cases had varied complications. 10 (12.8%) cases of them died. 62 patients improved after metabolic therapy by L-carnitine and diet. Six patients received liver transplantation because of recurrent metabolic crisis. Their clinical symptoms were markedly improved. Conclusion: The clinical manifestations of propionic acidemia are complex and lack of specificity. Newborn screening and high-risk screening are keys for early treatment and better outcome. The correlation between the genotype and phenotype of propionic acidemia is unclear, but certain variants may be associated with early-onset or late-onset propionic acidemia.
		                        		
		                        		
		                        		
		                        			Carnitine
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Genotype
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Methylmalonyl-CoA Decarboxylase/metabolism*
		                        			;
		                        		
		                        			Mutation
		                        			;
		                        		
		                        			Phenotype
		                        			;
		                        		
		                        			Propionic Acidemia/genetics*
		                        			;
		                        		
		                        			Retrospective Studies
		                        			
		                        		
		                        	
9.A multicenter epidemiological study of acute bacterial meningitis in children.
Cai Yun WANG ; Hong Mei XU ; Jiao TIAN ; Si Qi HONG ; Gang LIU ; Si Xuan WANG ; Feng GAO ; Jing LIU ; Fu Rong LIU ; Hui YU ; Xia WU ; Bi Quan CHEN ; Fang Fang SHEN ; Guo ZHENG ; Jie YU ; Min SHU ; Lu LIU ; Li Jun DU ; Pei LI ; Zhi Wei XU ; Meng Quan ZHU ; Li Su HUANG ; He Yu HUANG ; Hai Bo LI ; Yuan Yuan HUANG ; Dong WANG ; Fang WU ; Song Ting BAI ; Jing Jing TANG ; Qing Wen SHAN ; Lian Cheng LAN ; Chun Hui ZHU ; Yan XIONG ; Jian Mei TIAN ; Jia Hui WU ; Jian Hua HAO ; Hui Ya ZHAO ; Ai Wei LIN ; Shuang Shuang SONG ; Dao Jiong LIN ; Qiong Hua ZHOU ; Yu Ping GUO ; Jin Zhun WU ; Xiao Qing YANG ; Xin Hua ZHANG ; Ying GUO ; Qing CAO ; Li Juan LUO ; Zhong Bin TAO ; Wen Kai YANG ; Yong Kang ZHOU ; Yuan CHEN ; Li Jie FENG ; Guo Long ZHU ; Yan Hong ZHANG ; Ping XUE ; Xiao Qin LI ; Zheng Zhen TANG ; De Hui ZHANG ; Xue Wen SU ; Zheng Hai QU ; Ying ZHANG ; Shi Yong ZHAO ; Zheng Hong QI ; Lin PANG ; Cai Ying WANG ; Hui Ling DENG ; Xing Lou LIU ; Ying Hu CHEN ; Sainan SHU
Chinese Journal of Pediatrics 2022;60(10):1045-1053
		                        		
		                        			
		                        			Objective: To analyze the clinical epidemiological characteristics including composition of pathogens , clinical characteristics, and disease prognosis acute bacterial meningitis (ABM) in Chinese children. Methods: A retrospective analysis was performed on the clinical and laboratory data of 1 610 children <15 years of age with ABM in 33 tertiary hospitals in China from January 2019 to December 2020. Patients were divided into different groups according to age,<28 days group, 28 days to <3 months group, 3 months to <1 year group, 1-<5 years of age group, 5-<15 years of age group; etiology confirmed group and clinically diagnosed group according to etiology diagnosis. Non-numeric variables were analyzed with the Chi-square test or Fisher's exact test, while non-normal distrituction numeric variables were compared with nonparametric test. Results: Among 1 610 children with ABM, 955 were male and 650 were female (5 cases were not provided with gender information), and the age of onset was 1.5 (0.5, 5.5) months. There were 588 cases age from <28 days, 462 cases age from 28 days to <3 months, 302 cases age from 3 months to <1 year of age group, 156 cases in the 1-<5 years of age and 101 cases in the 5-<15 years of age. The detection rates were 38.8% (95/245) and 31.5% (70/222) of Escherichia coli and 27.8% (68/245) and 35.1% (78/222) of Streptococcus agalactiae in infants younger than 28 days of age and 28 days to 3 months of age; the detection rates of Streptococcus pneumonia, Escherichia coli, and Streptococcus agalactiae were 34.3% (61/178), 14.0% (25/178) and 13.5% (24/178) in the 3 months of age to <1 year of age group; the dominant pathogens were Streptococcus pneumoniae and the detection rate were 67.9% (74/109) and 44.4% (16/36) in the 1-<5 years of age and 5-<15 years of age . There were 9.7% (19/195) strains of Escherichia coli producing ultra-broad-spectrum β-lactamases. The positive rates of cerebrospinal fluid (CSF) culture and blood culture were 32.2% (515/1 598) and 25.0% (400/1 598), while 38.2% (126/330)and 25.3% (21/83) in CSF metagenomics next generation sequencing and Streptococcus pneumoniae antigen detection. There were 4.3% (32/790) cases of which CSF white blood cell counts were normal in etiology confirmed group. Among 1 610 children with ABM, main intracranial imaging complications were subdural effusion and (or) empyema in 349 cases (21.7%), hydrocephalus in 233 cases (14.5%), brain abscess in 178 cases (11.1%), and other cerebrovascular diseases, including encephalomalacia, cerebral infarction, and encephalatrophy, in 174 cases (10.8%). Among the 166 cases (10.3%) with unfavorable outcome, 32 cases (2.0%) died among whom 24 cases died before 1 year of age, and 37 cases (2.3%) had recurrence among whom 25 cases had recurrence within 3 weeks. The incidences of subdural effusion and (or) empyema, brain abscess and ependymitis in the etiology confirmed group were significantly higher than those in the clinically diagnosed group (26.2% (207/790) vs. 17.3% (142/820), 13.0% (103/790) vs. 9.1% (75/820), 4.6% (36/790) vs. 2.7% (22/820), χ2=18.71, 6.20, 4.07, all P<0.05), but there was no significant difference in the unfavorable outcomes, mortility, and recurrence between these 2 groups (all P>0.05). Conclusions: The onset age of ABM in children is usually within 1 year of age, especially <3 months. The common pathogens in infants <3 months of age are Escherichia coli and Streptococcus agalactiae, and the dominant pathogen in infant ≥3 months is Streptococcus pneumoniae. Subdural effusion and (or) empyema and hydrocephalus are common complications. ABM should not be excluded even if CSF white blood cell counts is within normal range. Standardized bacteriological examination should be paid more attention to increase the pathogenic detection rate. Non-culture CSF detection methods may facilitate the pathogenic diagnosis.
		                        		
		                        		
		                        		
		                        			Adolescent
		                        			;
		                        		
		                        			Brain Abscess
		                        			;
		                        		
		                        			Child
		                        			;
		                        		
		                        			Child, Preschool
		                        			;
		                        		
		                        			Escherichia coli
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Hydrocephalus
		                        			;
		                        		
		                        			Infant
		                        			;
		                        		
		                        			Infant, Newborn
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Meningitis, Bacterial/epidemiology*
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Streptococcus agalactiae
		                        			;
		                        		
		                        			Streptococcus pneumoniae
		                        			;
		                        		
		                        			Subdural Effusion
		                        			;
		                        		
		                        			beta-Lactamases
		                        			
		                        		
		                        	
10.Clinical expert consensus on platelet-rich plasma treatment for lateral epicondylitis (2022 version)
Jian LI ; Guoqing CUI ; Chengqi HE ; Shiyi CHEN ; Boxu CHEN ; Hong CHEN ; Xuesong DAI ; Hongchen HE ; Hui KANG ; Tieshan LI ; Guoping LI ; Jiuzhou LU ; Chao MA ; Xin TANG ; Jun TAO ; Hong WANG ; Ming XIANG ; Dan XING ; Yiquan XIONG ; Qingyun XUE ; Rui YANG ; Tin YUAN ; Qiang ZHANG ; Jingbin ZHOU ; Weihong ZHU ; Yan XIONG ; Yan LIU
Chinese Journal of Trauma 2022;38(8):673-680
		                        		
		                        			
		                        			Lateral epicondylitis is a common clinical disease with characteristics of lateral elbow pain, insidious onset and easy recurrence, which can cause forearm pain and decreased wrist strength, seriously affecting patients′ daily life and work. Although there are various treatment methods for lateral epicondylitis with different effects, standard treatments are still lacking nowadays. Platelet-rich plasma (PRP) has good effects on bone and tendon repair, and is now widely used in the treatment of lateral epicondylitis. However, there is a lack of a unified understanding of the technology and specifications of PRP in the treatment of lateral epicondylitis. Therefore, the Sports Medicine Branch of the Chinese Medical Association and Physical Medicine and Rehabilitation Branch of the Chinese Medical Association organized experts in the fields of sports medicine and rehabilitation medicine in China to formulate the "clinical expert consensus on platelet-rich plasma treatment for lateral epicondylitis (2022 version)", and proposed suggestions based on evidence-based medicine mainly from the concept, epidemiology and pathophysiology of lateral epicondylitis, symptoms, signs and imaging manifestations of lateral epicondylitis, PRP concept and application component requirements, quality control of PRP preparation technology, indications and contraindications of PRP in the treatment of lateral epicondylitis, PRP injection in the treatment of lateral epicondylitis, application of PRP in the operation of lateral epicondylitis, related problems after PRP treatment of lateral epicondylitis, evaluation of the results after PRP treatment of lateral epicondylitis, and health and economic evaluation of PRP treatment of lateral epicondylitis, so as to provide guidance for clinical diagnosis and treatment.
		                        		
		                        		
		                        		
		                        	
            
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