Emerging Microbes & Infections最新文献_第3页

Enhanced antibody response to the conformational non-RBD region via DNA prime-protein boost elicits broad cross-neutralization against SARS-CoV-2 variants. 通过DNA引物-蛋白增强对构象非rbd区的抗体反应引发针对SARS-CoV-2变体的广泛交叉中和

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2025-03-03 DOI: 10.1080/22221751.2024.2447615

Yun-Fei Ma, Kun Chen, Bowen Xie, Jiayi Zhu, Xuan He, Chunying Chen, Yuhe Renee Yang, Ye Liu

{"title":"Enhanced antibody response to the conformational non-RBD region via DNA prime-protein boost elicits broad cross-neutralization against SARS-CoV-2 variants.","authors":"Yun-Fei Ma, Kun Chen, Bowen Xie, Jiayi Zhu, Xuan He, Chunying Chen, Yuhe Renee Yang, Ye Liu","doi":"10.1080/22221751.2024.2447615","DOIUrl":"10.1080/22221751.2024.2447615","url":null,"abstract":"Preventing immune escape of SARS-CoV-2 variants is crucial in vaccine development to ensure broad protection against the virus. Conformational epitopes beyond the RBD region are vital components of the spike protein but have received limited attention in the development of broadly protective SARS-CoV-2 vaccines. In this study, we used a DNA prime-protein boost regimen to evaluate the broad cross-neutralization potential of immune response targeting conformational non-RBD region against SARS-CoV-2 viruses in mice. Mice with enhanced antibody responses targeting conformational non-RBD region show better performance in cross-neutralization against the Wuhan-01, Delta, and Omicron subvariants. Via analyzing the distribution of conformational epitopes, and quantifying epitope-specific binding antibodies, we verified a positive correlation between the proportion of binding antibodies against the N-terminal domain (NTD) supersite (a conformational non-RBD epitope) and SARS-CoV-2 neutralization potency. The current work highlights the importance of high ratio of conformational non-RBD-specific binding antibodies in mediating viral cross-neutralization and provides new insight into overcoming the immune escape of SARS-CoV-2 variants.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2447615"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11878195/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142892999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the standardization of human nasal antibody measurements.

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2025-03-17 DOI: 10.1080/22221751.2025.2475822

Xuanxuan Zhang, Yulong Fu, Si Chen, Guanxing Liu, Ying Wang, Qian He, Qian Wang, Na Li, Zhongfang Wang, Ling Chen, Junzhi Wang, Zhenglun Liang, Miao Xu, Qunying Mao

{"title":"Exploring the standardization of human nasal antibody measurements.","authors":"Xuanxuan Zhang, Yulong Fu, Si Chen, Guanxing Liu, Ying Wang, Qian He, Qian Wang, Na Li, Zhongfang Wang, Ling Chen, Junzhi Wang, Zhenglun Liang, Miao Xu, Qunying Mao","doi":"10.1080/22221751.2025.2475822","DOIUrl":"10.1080/22221751.2025.2475822","url":null,"abstract":"Mucosal immunity is crucial for preventing the infection and transmission of respiratory viruses. Nasal antibody is inversely correlated with a lower risk of infection with respiratory viruses. However, the current reference standard for nasal antibody assessment is serum-based, mainly consisting of monomeric IgG and IgA. The applicability of serum-derived standards for assessing nasal antibodies, consisting mostly of dimeric or polymeric secretory IgA (sIgA), remains unvalidated. Herein, we first proved that the sera-derived standard was not applicable for assessing nasal antibodies. Using a non-homologous standard as a calibrator introduced systematic error up to 10 times, which did not benefit the understanding of mucosal antibody response. Therefore, we attempted to develop two candidate standards (CS1, CS2) using nasal mucosal lining fluids (NMLFs) collected from SARS-CoV-2 Omicron convalescents or intranasal vaccine recipients, and CS3 using a sIgA monoclonal antibody. CS2 exhibited broad-spectrum binding activity against 12 SARS-CoV-2 strains, including all tested Omicron subvariants. A collaborative study conducted by seven laboratories demonstrated that CS2 improved the harmonization of inter-laboratory variability (pre-standardization geometric coefficients of variance, 14-314%; post-standardization, 3-35%). Using CS2 ensured an accurate assessment of nasal antibodies. Thus, CS2 was established as a national standard for evaluating nasal SARS-CoV-2-specific antibodies (Lot: 300052-202401, 1000 U/mL). Our work provides a benchmark for evaluating mucosal vaccines for SARS-CoV-2 and inspires new avenues for developing new reference standards for other mucosal vaccines.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2475822"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11915745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143604384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic identification of clinically important Aspergillus species by artificial intelligence-based image recognition: proof-of-concept study. 基于人工智能的图像识别自动识别临床上重要的曲霉菌种：概念验证研究。

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2024-12-09 DOI: 10.1080/22221751.2024.2434573

Chi-Ching Tsang, Chenyang Zhao, Yueh Liu, Ken P K Lin, James Y M Tang, Kar-On Cheng, Franklin W N Chow, Weiming Yao, Ka-Fai Chan, Sharon N L Poon, Kelly Y C Wong, Lianyi Zhou, Oscar T N Mak, Jeremy C Y Lee, Suhui Zhao, Antonio H Y Ngan, Alan K L Wu, Kitty S C Fung, Tak-Lun Que, Jade L L Teng, Dirk Schnieders, Siu-Ming Yiu, Susanna K P Lau, Patrick C Y Woo

{"title":"Automatic identification of clinically important Aspergillus species by artificial intelligence-based image recognition: proof-of-concept study.","authors":"Chi-Ching Tsang, Chenyang Zhao, Yueh Liu, Ken P K Lin, James Y M Tang, Kar-On Cheng, Franklin W N Chow, Weiming Yao, Ka-Fai Chan, Sharon N L Poon, Kelly Y C Wong, Lianyi Zhou, Oscar T N Mak, Jeremy C Y Lee, Suhui Zhao, Antonio H Y Ngan, Alan K L Wu, Kitty S C Fung, Tak-Lun Que, Jade L L Teng, Dirk Schnieders, Siu-Ming Yiu, Susanna K P Lau, Patrick C Y Woo","doi":"10.1080/22221751.2024.2434573","DOIUrl":"10.1080/22221751.2024.2434573","url":null,"abstract":"While morphological examination is the most widely used for Aspergillus identification in clinical laboratories, PCR-sequencing and MALDI-TOF MS are emerging technologies in more financially-competent laboratories. However, mycological expertise, molecular biologists and/or expensive equipment are needed for these. Recently, artificial intelligence (AI), especially image recognition, is being increasingly employed in medicine for fast and automated disease diagnosis. We explored the potential utility of AI in identifying Aspergillus species. In this proof-of-concept study, using 2813, 2814 and 1240 images from four clinically important Aspergillus species for training, validation and testing, respectively; the performances and accuracies of automatic Aspergillus identification using colonial images by three different convolutional neural networks were evaluated. Results demonstrated that ResNet-18 outperformed Inception-v3 and DenseNet-121 and is the best algorithm of choice because it made the fewest misidentifications (n = 8) and possessed the highest testing accuracy (99.35%). Images showing more unique morphological features were more accurately identified. AI-based image recognition using colonial images is a promising technology for Aspergillus identification. Given its short turn-around-time, minimal demand of expertise, low reagent/equipment costs and user-friendliness, it has the potential to serve as a routine laboratory diagnostic tool after the database is further expanded.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2434573"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142709621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-throughput single-cell analysis reveals Omp38-specific monoclonal antibodies that protect against Acinetobacter baumannii infection. 高通量单细胞分析显示omp38特异性单克隆抗体可保护机体免受鲍曼不动杆菌感染。

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2024-12-17 DOI: 10.1080/22221751.2024.2437243

Yiwei Zhang, Hao Cheng, Peng Yu, Shufeng Wang, Hui Dong, Song Lu, Ruiqi Yang, Baiqing Li, Jie Luo, Ruihan Mao, Zhaohui Zhang, Yong Qi, Xiaohua Chen, Jinya Ding, Zemin He, Jingbo Zhang, Tingting Zhao, Xiangmei Chen, Rong Lin, Haibo Li, Yi Tian, Yuzhang Wu

{"title":"High-throughput single-cell analysis reveals Omp38-specific monoclonal antibodies that protect against Acinetobacter baumannii infection.","authors":"Yiwei Zhang, Hao Cheng, Peng Yu, Shufeng Wang, Hui Dong, Song Lu, Ruiqi Yang, Baiqing Li, Jie Luo, Ruihan Mao, Zhaohui Zhang, Yong Qi, Xiaohua Chen, Jinya Ding, Zemin He, Jingbo Zhang, Tingting Zhao, Xiangmei Chen, Rong Lin, Haibo Li, Yi Tian, Yuzhang Wu","doi":"10.1080/22221751.2024.2437243","DOIUrl":"10.1080/22221751.2024.2437243","url":null,"abstract":"Infections caused by Acinetobacter baumannii (A. baumannii) have emerged as a global public health concern because of high pathogenicity of this bacterium. Monoclonal antibodies (mAbs) have a lower likelihood of promoting drug resistance and offer targeted treatment, thereby reducing potential adverse effects; however, the therapeutic potential of mAbs targeting A. baumannii has not been fully characterized. In this study, mAbs against the outer membrane proteins (OMPs) of A. baumannii were isolated in a high-throughput manner. The ability of Omp38-specific mAbs to bind to A. baumannii strains from diverse sources was confirmed via enzyme-linked immunosorbent assay (ELISA). Intravenous administration of the Omp38-specific mAbs significantly improved the survival rate and reduced the bacterial load in a mouse model of lethal A. baumannii infection. Flow cytometry and ELISA confirmed that immune cell infiltration and cytokine production, respectively, decreased in a mouse model of sublethal A. baumannii infection. In addition, analysis of the Omp38-mAb C3 binding conformation revealed the potential mechanism of broad-spectrum binding activity of this mAb against A. baumannii. Taken together, these findings indicate that mAbs against Omp38 facilitate bacterial clearance from host, minimize inflammatory mediator release and reduce host damage, highlighting the potential of Omp38-specific mAbs in the clinical treatment of A. baumannii infection.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2437243"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11654044/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients. 结核病患者家庭接触者QuantiFERON上清液进展为活动性结核病风险的预测性代谢物特征。

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2024-12-22 DOI: 10.1080/22221751.2024.2437242

Evangeline Ann Daniel, Shubham Upadhyay, Murugesan Selvachithiram, Sathyamurthi Pattabiraman, Brindha Bhanu, Amsaveni Sivaprakasam, Vandana Kulkarni, Rajesh Karyakarte, Sanjay Gaikwad, Mandar Paradkar, Shri Vijay Bala Yogendra Shivakumar, Vidya Mave, Amita Gupta, Keshava Prasad, Luke Elizabeth Hanna

{"title":"Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients.","authors":"Evangeline Ann Daniel, Shubham Upadhyay, Murugesan Selvachithiram, Sathyamurthi Pattabiraman, Brindha Bhanu, Amsaveni Sivaprakasam, Vandana Kulkarni, Rajesh Karyakarte, Sanjay Gaikwad, Mandar Paradkar, Shri Vijay Bala Yogendra Shivakumar, Vidya Mave, Amita Gupta, Keshava Prasad, Luke Elizabeth Hanna","doi":"10.1080/22221751.2024.2437242","DOIUrl":"10.1080/22221751.2024.2437242","url":null,"abstract":"The identification of individuals with the greatest risk of progression to active tuberculosis (TB) disease from the huge reservoir of Mycobacterium tuberculosis (Mtb) infected individuals continues to remain an arduous ascent in the global effort to control TB. In a two-year prospective study, we analysed metabolic profiles in the unstimulated and TB antigen stimulated QuantiFERON supernatants of 14 healthy household contacts (HHCs) who progressed to TB disease (Progressors) and 14 HHCs who remained healthy (Non-Progressors). We identified 21 significantly dysregulated metabolites in the TB antigen-stimulated QuantiFERON supernatants of Progressors, of which the combination of Malic acid and N-Arachidonoylglycine had maximum AUC of 0.99. Eighteen significantly dysregulated metabolites were identified in the unstimulated QuantiFERON supernatants of Progressors, among which the combination of Orotic acid and the phosphatidylcholines PC (O-34:1), PC (O-18:1(9Z)/16:0), PC (O-18:1(11Z)/16:0) had the maximum AUC of 0.98. Most of the dysregulated metabolites belonged to the pathways of fatty acid metabolism, lipid metabolism and nitric oxide metabolism. Validation of these metabolic signatures in large, diverse cohorts would pave way for the development of a robust test that can identify individuals at high risk of TB for targetted intervention of TB disease.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2437242"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Susceptibility of calf lung slice cultures to H5N1 influenza virus. 小牛肺切片培养物对H5N1流感病毒的敏感性。

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2024-12-09 DOI: 10.1080/22221751.2024.2432368

Kate Guilfoyle, Monica Mirolo, Geert van Amerongen, Guido van der Net, Mara Sophie Lombardo, Theresa Störk, Guus Rimmelzwaan, Martin Ludlow, Albert Osterhaus

引用次数: 0

Research progress and application prospects of animal models of group B Coxsackievirus infections. 柯萨奇B族病毒感染动物模型的研究进展及应用前景

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2024-12-22 DOI: 10.1080/22221751.2024.2441391

Shihan Weng, Rui Zhu, Yuanyuan Wu, Ningshao Xia, Longfa Xu, Tong Cheng

引用次数: 0

Novel digital droplet inverse PCR assay shows that natural clearance of hepatitis B infection is associated with fewer viral integrations. 新型数字液滴反PCR检测显示乙型肝炎感染的自然清除与较少的病毒整合相关。

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2025-01-13 DOI: 10.1080/22221751.2025.2450025

Dong Li, Vikki Ho, Chiao-Fang Teng, Hung-Wen Tsai, Yuanyuan Liu, Sarah Bae, Harout Ajoyan, Jochen M Wettengel, Ulrike Protzer, Brian S Gloss, Rebecca J Rockett, Rafid Al Asady, Jane Li, Simon So, Jacob George, Mark W Douglas, Thomas Tu

{"title":"Novel digital droplet inverse PCR assay shows that natural clearance of hepatitis B infection is associated with fewer viral integrations.","authors":"Dong Li, Vikki Ho, Chiao-Fang Teng, Hung-Wen Tsai, Yuanyuan Liu, Sarah Bae, Harout Ajoyan, Jochen M Wettengel, Ulrike Protzer, Brian S Gloss, Rebecca J Rockett, Rafid Al Asady, Jane Li, Simon So, Jacob George, Mark W Douglas, Thomas Tu","doi":"10.1080/22221751.2025.2450025","DOIUrl":"10.1080/22221751.2025.2450025","url":null,"abstract":"Hepatitis B virus (HBV) DNA integration into the host cell genome is reportedly a major cause of liver cancer, and a source of hepatitis B surface antigen (HBsAg). High HBsAg levels can alter immune responses which therefore contributes to the progression of HBV-related disease. However, to what extent integration leads to the persistent circulating HBsAg is unclear. Here, we aimed to determine if the extent of HBV DNA integration is associated with the persistence of circulating HBsAg in people exposed to HBV. We established a digital droplet quantitative inverse PCR (dd-qinvPCR) method to quantify integrated HBV DNA in patients who had been exposed to HBV (anti-HBc positive and HBeAg-negative). Total DNA extracts from both liver resections (n = 32; 14 HBsAg-negative and 18 HBsAg-positive) and fine-needle aspirates (FNA, n = 10; 2 HBsAg-negative and 8 HBsAg-positive) were analysed. Using defined in vitro samples for assay establishment, we showed that dd-qinvPCR could detect integrations within an input of <80 cells. The frequency of integrated HBV DNA in those who had undergone HBsAg loss (n = 14, mean ± SD of 1.514 × 10-3 ± 1.839 × 10-3 integrations per cell) was on average 9-fold lower than those with active HBV infection (n = 18, 1.16 × 10-2 ± 1.76 × 10-2 integrations per cell; p = 0.0179). In conclusion, we have developed and validated a highly precise, sensitive and quantitative PCR-based method for the quantification of HBV integrations in clinical samples. Natural clearance of HBV is associated with fewer viral integrations. Future studies are needed to determine if dynamics of integrated HBV DNA can inform the development of curative therapies.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2450025"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11731057/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142920845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Addendum.

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2025-01-23 DOI: 10.1080/22221751.2025.2455223

引用次数: 0

Highly Pathogenic Avian Influenza (HPAI) H5N1 virus in Finland in 2021-2023 - Genetic diversity of the viruses and infection kinetics in human dendritic cells. 2021-2023年芬兰高致病性禽流感（HPAI） H5N1病毒——病毒的遗传多样性和人树突状细胞感染动力学

IF 8.4 2区医学

Emerging Microbes & Infections Pub Date : 2025-12-01 Epub Date: 2025-01-10 DOI: 10.1080/22221751.2024.2447618

Eda Altan, Veera Avelin, Kirsi Aaltonen, Essi Korhonen, Larissa Laine, Erika Lindh, Ilkka Julkunen, Niina Tammiranta, Tiina Nokireki, Tuija Gadd, Laura Kakkola, Tarja Sironen, Pamela Österlund

{"title":"Highly Pathogenic Avian Influenza (HPAI) H5N1 virus in Finland in 2021-2023 - Genetic diversity of the viruses and infection kinetics in human dendritic cells.","authors":"Eda Altan, Veera Avelin, Kirsi Aaltonen, Essi Korhonen, Larissa Laine, Erika Lindh, Ilkka Julkunen, Niina Tammiranta, Tiina Nokireki, Tuija Gadd, Laura Kakkola, Tarja Sironen, Pamela Österlund","doi":"10.1080/22221751.2024.2447618","DOIUrl":"10.1080/22221751.2024.2447618","url":null,"abstract":"Highly pathogenic avian influenza (HPAI) H5N1 is known for its virulence and zoonotic potential, infecting birds and mammals, thus raising public health concerns. Since 2021 its spread among birds has led to cross-species transmission causing epizootics among mammals, eventually impacting fur animal farms in Finland in 2023. To analyze the infectivity of the Finnish H5N1 isolates in human cells, representatives of diverse H5N1 isolates were selected based on the genetic differences, host animal species, and the year of occurrence. The infection kinetics of the selected H5N1 isolates from wild pheasant and fox, and fur animals blue fox and white mink were examined in human monocyte-derived dendritic cells (moDCs) with H5N1 human isolate as a control. Although the isolate from pheasant (a wild bird) showed weakly reduced replication and viral protein expression in human cells compared to mammalian isolates, no discernible differences in virus replication in moDCs was observed. This study revealed similar infectivity in human moDCs for all five H5N1 isolates, regardless of the observed genetic differences. While H5N1 human infections remain rare, the virus poses a risk for widespread epizootics in mammals such as fur animal farms and, more recently, dairy cattle.","PeriodicalId":11602,"journal":{"name":"Emerging Microbes & Infections","volume":" ","pages":"2447618"},"PeriodicalIF":8.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11727053/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142914052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0