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Yang R, Han P, Han P, Li D, Zhao R, Niu S, Liu K, Li S, Tian WX, Gao GF. Molecular basis of hippopotamus ACE2 binding to SARS-CoV-2. J Virol 2024:e0045124. [PMID: 38591877 DOI: 10.1128/jvi.00451-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 03/18/2024] [Indexed: 04/10/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a wide range of hosts, including hippopotami, which are semi-aquatic mammals and phylogenetically closely related to Cetacea. In this study, we characterized the binding properties of hippopotamus angiotensin-converting enzyme 2 (hiACE2) to the spike (S) protein receptor binding domains (RBDs) of the SARS-CoV-2 prototype (PT) and variants of concern (VOCs). Furthermore, the cryo-electron microscopy (cryo-EM) structure of the SARS-CoV-2 PT S protein complexed with hiACE2 was resolved. Structural and mutational analyses revealed that L30 and F83, which are specific to hiACE2, played a crucial role in the hiACE2/SARS-CoV-2 RBD interaction. In addition, comparative and structural analysis of ACE2 orthologs suggested that the cetaceans may have the potential to be infected by SARS-CoV-2. These results provide crucial molecular insights into the susceptibility of hippopotami to SARS-CoV-2 and suggest the potential risk of SARS-CoV-2 VOCs spillover and the necessity for surveillance. IMPORTANCE The hippopotami are the first semi-aquatic artiodactyl mammals wherein SARS-CoV-2 infection has been reported. Exploration of the invasion mechanism of SARS-CoV-2 will provide important information for the surveillance of SARS-CoV-2 in hippopotami, as well as other semi-aquatic mammals and cetaceans. Here, we found that hippopotamus ACE2 (hiACE2) could efficiently bind to the RBDs of the SARS-CoV-2 prototype (PT) and variants of concern (VOCs) and facilitate the transduction of SARS-CoV-2 PT and VOCs pseudoviruses into hiACE2-expressing cells. The cryo-EM structure of the SARS-CoV-2 PT S protein complexed with hiACE2 elucidated a few critical residues in the RBD/hiACE2 interface, especially L30 and F83 of hiACE2 which are unique to hiACE2 and contributed to the decreased binding affinity to PT RBD compared to human ACE2. Our work provides insight into cross-species transmission and highlights the necessity for monitoring host jumps and spillover events on SARS-CoV-2 in semi-aquatic/aquatic mammals.
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Affiliation(s)
- Ruirui Yang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Pengcheng Han
- School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China
| | - Dedong Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Runchu Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Institute of Physical Science and Information Technology, Anhui University, Hefei, China
| | - Sheng Niu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Shihua Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Wen-Xia Tian
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - George Fu Gao
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
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Chen RH, Liang FY, Han P, Lin PL, Lin XJ, Wang JY, Kong XW, Huang XM. [Preliminary outcomes of neoadjuvant chemoimmunotherapy combined with transoral robotic surgery for locally advanced oropharyngeal squamous cell carcinoma]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2024; 59:329-334. [PMID: 38599642 DOI: 10.3760/cma.j.cn115330-20231205-00273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Objective: To evaluate the efficacy of neoadjuvant chemoimmunotherapy (NACI) combined with transoral robotic surgery (TORS) in the treatment of locally advanced oropharyngeal squamous cell carcinoma (OPSCC). Methods: This was a retrospective study of 15 patients with locally advanced OPSCC who underwent TORS after neoadjuvant therapy (NAT) at the Department of Otolaryngology-Head and Neck Surgery of Sun Yat-sen Memorial Hospital of Sun Yat-sen University from April 2019 to February 2023. There were 12 males and 3 females, aged 31 to 74 years. Twelve cases were tonsil cancer, and 3 cases were tongue base cancer. There were 11 cases in stage Ⅲ and 4 cases in stage Ⅳ. Two patients received neoadjuvant chemotherapy and 13 patients received NACI, with 2 to 3 cycles, and all patients underwent TORS after multidisciplinary team consultation. The clinicopathological characteristics, surgical outcomes, and oncological results were summarized. Results: All surgeries were successfully completed with negative surgical margins, and no case was required conversion surgery. All patients were fed via nasogastric tubes postoperatively, with a median gastric tube stay of 7 days (range: 2-60 days). No tracheotomy was applied. There were no major complications such as postoperative bleeding. Pathological complete response (pCR) was found in 10 cases (76.9%) among the 13 patients with NACI. The follow-up time was 21 months (range: 10-47 months), and there was no death or distant metastasis. One patient with rT0N3M0 tonsil cancer had local recurrence 5 months after surgery. The 2-year overall survival and 2-year disease-free survival were respectively 100.0% and 93.3% in the 15 patients. Conclusion: NACI combined with TORS provides a safe, effective and minimally invasive treatment for patients with locally advanced oropharyngeal squamous cell carcinoma.
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Affiliation(s)
- R H Chen
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - F Y Liang
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - P Han
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - P L Lin
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - X J Lin
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - J Y Wang
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - X W Kong
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - X M Huang
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University,Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
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Ma H, Wang Z, Han P, Fan P, Chapman CA, Garber PA, Fan P. Small apes adjust rhythms to facilitate song coordination. Curr Biol 2024; 34:935-945.e3. [PMID: 38266649 DOI: 10.1016/j.cub.2023.12.071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 11/03/2023] [Accepted: 12/22/2023] [Indexed: 01/26/2024]
Abstract
Song coordination is a universal characteristic of human music. Many animals also produce well-coordinated duets or choruses that resemble human music. However, the mechanism and evolution of song coordination have only recently been studied in animals. Here, we studied the mechanism of song coordination in three closely related species of wild Nomascus gibbons that live in polygynous groups. In each species, song bouts were dominated by male solo sequences (referred to hereafter as male sequence), and females contributed stereotyped great calls to coordinate with males. Considering the function of rhythm in facilitating song coordination in human music and animal vocalizations, we predicted that adult males adjust their song rhythm to facilitate song coordination with females. In support of this prediction, we found that adult males produced significantly more isochronous rhythms with a faster tempo in male sequences that were followed by successful female great calls (a complete sequence with "introductory" and "wa" notes). The difference in isochrony and tempos between successful great call sequences and male sequences was smaller in N. concolor compared with the other two species, which may make it difficult for females to predict a male's precise temporal pattern. Consequently, adult females of N. concolor produced more failed great call (an incomplete sequence with only introductory notes) sequences. We propose that the high degree of rhythm change functions as an unambiguous signal that can be easily perceived by receivers. In this regard, gibbon vocalizations offer an instructive model to understand the origins and evolution of human music.
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Affiliation(s)
- Haigang Ma
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China
| | - Zidi Wang
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China
| | - Pu Han
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China
| | - Penglai Fan
- Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin 541006, Guangxi, China; Endangered Animal Ecology, College of Life Sciences, Guangxi Normal University, Guilin 541006, Guangxi, China
| | - Colin A Chapman
- Biology Department, Vancouver Island University, Nanaimo, BC V9R 5S5, Canada; Wilson Center, 1300 Pennsylvania Avenue NW, Washington, DC 20004, USA; School of Life Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg 3209, South Africa; Shanxi Key Laboratory for Animal Conservation, Northwest University, Xi'an 710127, China
| | - Paul A Garber
- Department of Anthropology, Program in Ecology and Evolutionary Biology, University of Illinois, Urbana, IL 61801, USA; International Centre of Biodiversity and Primate Conservation, Dali University, Dali 671003, Yunnan, China
| | - Pengfei Fan
- School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China.
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Han P, Liang F, Lin P, Chen R, Ye Y, Huang X. Comparison of conventional and endoscope-assisted partial clretain-->superficial parotidectomy for benign neoplasms of the parotid gland: a matched case-control study. Int J Oral Maxillofac Surg 2024; 53:199-204. [PMID: 37652850 DOI: 10.1016/j.ijom.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 09/02/2023]
Abstract
Long-term tumour recurrence rates and complications of endoscope-assisted partial superficial parotidectomy (PSP) are rarely reported compared to traditional open approaches. This retrospective study included 306 patients with superficial parotid benign neoplasms who were divided into an endoscopy group (endoscope-assisted PSP, n = 102) and a control group (conventional PSP, n = 204). There were no significant differences in clinical and pathological characteristics between the two groups, except age (P = 0.001). Three patients had confirmed recurrence during a mean follow-up duration of 125.1 months. Ten (9.8%) patients in the endoscopy group and 22 (10.8%) in the control group developed transient facial nerve palsy (P = 0.792), and recovered 6 months after the operation. Nine (8.8%) and 19 (9.3%) patients, respectively, suffered from Frey syndrome (P = 0.889). A sensory deficit of the auricle occurred in 24 (23.5%) and 57 (27.9%) patients respectively (P = 0.410). Patients in the endoscopy group were more satisfied with the postoperative scar than those in the control group (P < 0.001). This study demonstrated that the endoscope-assisted PSP can be curative, with better cosmetic outcomes than the conventional approach, and does not increase the incidence of postoperative complications or the local recurrence rate.
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Affiliation(s)
- P Han
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - F Liang
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - P Lin
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - R Chen
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Y Ye
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - X Huang
- Department of Otolaryngology, Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Malignant Tumour Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
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Huang M, Tu L, Li J, Yue X, Wu L, Yang M, Chen Y, Han P, Li X, Zhu L. Differentiation of Crohn's disease, ulcerative colitis, and intestinal tuberculosis by dual-layer spectral detector CT enterography. Clin Radiol 2024; 79:e482-e489. [PMID: 38143229 DOI: 10.1016/j.crad.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/29/2023] [Accepted: 12/01/2023] [Indexed: 12/26/2023]
Abstract
AIM To investigate the value of radiological features and energy spectrum quantitative parameters in the differential diagnosis of Crohn's disease (CD), ulcerative colitis (UC), and intestinal tuberculosis (ITB) by dual-layer spectral detector computed tomography (CT) enterography (CTE). MATERIALS AND METHODS Clinical and CTE data were collected from 182 patients with CD, 29 with UC, and 51 with ITB. CT images were obtained at the enteric phases and portal phases. The quantitative energy spectrum parameters were iodine density (ID), normalised ID (NID), virtual non-contrast (VNC) value, and effective atomic number (Z-eff). The area under curve (AUC) of the receiver operating characteristic curve (ROC) was calculated. RESULTS The vascular comb sign (p=0.009) and enlarged lymph nodes (p=0.001) were more common in patients with CD than UC or ITB. In the differentiation of moderate-severe active CD from UC, enteric phase NID (AUC, 0.938; p<0.001) and portal phase Z-eff (AUC, 0.925; p<0.001) had the highest accuracy, which were compared separately. In the differentiation of moderate-severe active CD from ITB, enteric phase NID (AUC, 0.906; p<0.001) and portal phase Z-eff (AUC, 0.947; p<0.001) had the highest accuracy; however, the AUC value was highest when the four parameters are combined (AUC, 0.989; p<0.001; AUC, 0.986; p<0.001; AUC, 0.936; p<0.001; and AUC, 0.986; p<0.001). CONCLUSION The present study shows that the combined strategies of four parameters have higher sensitivity and specificity in differentiating CD, UC, and ITB, and may play a key role in guiding treatment.
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Affiliation(s)
- M Huang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - L Tu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - X Yue
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - L Wu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - M Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Y Chen
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - P Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - X Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
| | - L Zhu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Wang H, Yin P, Zheng T, Qin L, Li S, Han P, Qu X, Wen J, Ding H, Wu J, Kong T, Gao Z, Hu S, Zhao X, Cao X, Fang M, Qi J, Xi JJ, Duan K, Yang X, Zhang Z, Wang Q, Tan W, Gao GF. Publisher Correction: Rational design of a 'two-in-one' immunogen DAM drives potent immune response against mpox virus. Nat Immunol 2024; 25:373. [PMID: 38225438 DOI: 10.1038/s41590-024-01748-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2024]
Affiliation(s)
- Han Wang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, China.
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
| | - Peng Yin
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, China
| | - Tingting Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Lanju Qin
- Department of Biological Sciences, School of life Science, Liaoning University, Shenyang, China
| | - Shihua Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xiao Qu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jun Wen
- Shanghai Junshi Biosciences, Shanghai, China
| | - Haoyi Ding
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Jiahao Wu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
- Shanxi Academy of Advanced Research and Innovation, Taiyuan, China
| | | | - Zhengrong Gao
- Shenzhen Children's Hospital, Shenzhen, China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Songtao Hu
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xiangyu Cao
- Department of Biological Sciences, School of life Science, Liaoning University, Shenyang, China
| | - Min Fang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jianzhong Jeff Xi
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Kai Duan
- Wuhan Institute of Biological Products, Wuhan, China
| | | | | | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
| | - Wenjie Tan
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China.
| | - George Fu Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
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Wang H, Yin P, Zheng T, Qin L, Li S, Han P, Qu X, Wen J, Ding H, Wu J, Kong T, Gao Z, Hu S, Zhao X, Cao X, Fang M, Qi J, Xi JJ, Duan K, Yang X, Zhang Z, Wang Q, Tan W, Gao GF. Rational design of a 'two-in-one' immunogen DAM drives potent immune response against mpox virus. Nat Immunol 2024; 25:307-315. [PMID: 38182667 DOI: 10.1038/s41590-023-01715-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 11/17/2023] [Indexed: 01/07/2024]
Abstract
The global outbreak of the mpox virus (MPXV) in 2022 highlights the urgent need for safer and more accessible new-generation vaccines. Here, we used a structure-guided multi-antigen fusion strategy to design a 'two-in-one' immunogen based on the single-chain dimeric MPXV extracellular enveloped virus antigen A35 bivalently fused with the intracellular mature virus antigen M1, called DAM. DAM preserved the natural epitope configuration of both components and showed stronger A35-specific and M1-specific antibody responses and in vivo protective efficacy against vaccinia virus (VACV) compared to co-immunization strategies. The MPXV-specific neutralizing antibodies elicited by DAM were 28 times higher than those induced by live VACV vaccine. Aluminum-adjuvanted DAM vaccines protected mice from a lethal VACV challenge with a safety profile, and pilot-scale production confirmed the high yield and purity of DAM. Thus, our study provides innovative insights and an immunogen candidate for the development of alternative vaccines against MPXV and other orthopoxviruses.
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Affiliation(s)
- Han Wang
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China.
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, China.
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
| | - Peng Yin
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, Beihang University, Beijing, China
| | - Tingting Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Lanju Qin
- Department of Biological Sciences, School of life Science, Liaoning University, Shenyang, China
| | - Shihua Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xiao Qu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jun Wen
- Shanghai Junshi Biosciences, Shanghai, China
| | - Haoyi Ding
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Jiahao Wu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
- Shanxi Academy of Advanced Research and Innovation, Taiyuan, China
| | | | - Zhengrong Gao
- Shenzhen Children's Hospital, Shenzhen, China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Songtao Hu
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xiangyu Cao
- Department of Biological Sciences, School of life Science, Liaoning University, Shenyang, China
| | - Min Fang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jianzhong Jeff Xi
- Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China
| | - Kai Duan
- Wuhan Institute of Biological Products, Wuhan, China
| | | | | | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
| | - Wenjie Tan
- National Institute for Viral Disease Control and Prevention, China CDC, Beijing, China.
| | - George Fu Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
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Liao XY, Bao YG, Liu ZH, Yang L, Qiu S, Liu LR, Han P, Wei Q. [Functional outcomes of robot-assisted radical prostatectomy with preservation of pelvic stabilized structure and early elevated retrograde liberation of neurovascular bundle]. Zhonghua Wai Ke Za Zhi 2024; 62:128-134. [PMID: 38310380 DOI: 10.3760/cma.j.cn112139-20230718-00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
Objectives: To examine the functional outcomes of robot-assisted radical prostatectomy (RARP) with preservation of pelvic floor stabilized structure and early elevated retrograde liberation of the neurovascular bundle (PEEL). Methods: This study was a retrospective cohort study. Between June 1, 2022, and March 20, 2023, 27 cases of RARP with PEEL and 153 cases of RARP with preservation of pelvic floor stabilized structure (PPSS) were included in this study. All patients were males, aged (62.5±5.2) years (range: 50 to 73 years). There were 18 cases of ≤T2b stage and 9 cases of T2c stage. After 1∶1 propensity score matching, the postoperative functional outcomes of 27 cases of RARP with PEEL and 27 cases of RARP with PPSS were compared. All surgeries were performed by a single surgeon and included patients were clinically staged as cT1-2N0M0 without preoperative urinary incontinence or erectile dysfunction. In RARP with PEEL, the prostate was cut near the midline at the front when dissecting the neurovascular bundle, dissection was performed between the visceral layer of the pelvic fascia and the prostatic fascia, preserving the parietal layer and the visceral layer of the pelvic fascia, and the neurovascular bundle was retrogradely released from the apex. The cumulative probability curve was plotted using the Kaplan-Meier method and the Log-rank test was used to compare the differences in functional outcomes between the two groups. Univariate and multivariate analysis with the Cox proportional hazards model was used to compare postoperative urinary continence and sexual function. Results: The recovery time of continence and potency was significantly longer in the PPSS group than in the PEEL group (all P<0.05). The continence rate of the PEEL group was significantly higher than that of the PPSS group (92.59% vs. 68.10%, P=0.026) at 3 months after surgery. The potency rate of the PEEL group was also significantly higher than that of the PPSS group (40.70% vs. 15.10%, P=0.037) at 3 months after surgery. In the univariate analysis, compared to the PPSS technique, the PEEL technique was associated with a shorter recovery time of continence (HR=1.94, 95%CI: 1.08 to 3.48, P=0.027) and a shorter recovery time of potency (HR=2.06, 95%CI: 1.03 to 4.13, P=0.042). In the multivariate analysis, the PEEL technique was an independent prognosis factor for postoperative recovery of continence (HR=2.05, 95%CI: 1.01 to 4.17, P=0.047) and potency (HR=3.57, 95%CI: 1.43 to 8.92, P=0.007). All the cases of the PPSS group and the PEEL group were performed successfully with negative surgical margins. Conclusion: Compared with PPSS, PEEL may be more conducive to the recovery of urinary continence and sexual function after RARP.
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Affiliation(s)
- X Y Liao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Y G Bao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Z H Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - L Yang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - S Qiu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - L R Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - P Han
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Q Wei
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China
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9
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Rao X, Zhao R, Tong Z, Guo S, Peng W, Liu K, Li S, Wu L, Tong J, Chai Y, Han P, Wang F, Jia P, Li Z, Zhao X, Li D, Zhang R, Zhang X, Zou W, Li W, Wang Q, Gao GF, Wu Y, Dai L, Gao F. Defining a de novo non-RBM antibody as RBD-8 and its synergistic rescue of immune-evaded antibodies to neutralize Omicron SARS-CoV-2. Proc Natl Acad Sci U S A 2023; 120:e2314193120. [PMID: 38109549 PMCID: PMC10756187 DOI: 10.1073/pnas.2314193120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/27/2023] [Indexed: 12/20/2023] Open
Abstract
Currently, monoclonal antibodies (MAbs) targeting the SARS-CoV-2 receptor binding domain (RBD) of spike (S) protein are classified into seven classes based on their binding epitopes. However, most of these antibodies are seriously impaired by SARS-CoV-2 Omicron and its subvariants, especially the recent BQ.1.1, XBB and its derivatives. Identification of broadly neutralizing MAbs against currently circulating variants is imperative. In this study, we identified a "breathing" cryptic epitope in the S protein, named as RBD-8. Two human MAbs, BIOLS56 and IMCAS74, were isolated recognizing this epitope with broad neutralization abilities against tested sarbecoviruses, including SARS-CoV, pangolin-origin coronaviruses, and all the SARS-CoV-2 variants tested (Omicron BA.4/BA.5, BQ.1.1, and XBB subvariants). Searching through the literature, some more RBD-8 MAbs were defined. More importantly, BIOLS56 rescues the immune-evaded antibody, RBD-5 MAb IMCAS-L4.65, by making a bispecific MAb, to neutralize BQ.1 and BQ.1.1, thereby producing an MAb to cover all the currently circulating Omicron subvariants. Structural analysis reveals that the neutralization effect of RBD-8 antibodies depends on the extent of epitope exposure, which is affected by the angle of antibody binding and the number of up-RBDs induced by angiotensin-converting enzyme 2 binding. This cryptic epitope which recognizes non- receptor binding motif (non-RBM) provides guidance for the development of universal therapeutic antibodies and vaccines against COVID-19.
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Affiliation(s)
- Xia Rao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
- Research Network of Immunity and Health, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing100101, China
- University of Chinese Academy of Sciences, Beijing100049, China
| | - Runchu Zhao
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Institute of Physical Science and Information, Anhui University, Hefei230039, China
| | - Zhou Tong
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Shanxi Academy of Advanced Research and Innovation, Taiyuan030032, China
| | - Shuxin Guo
- Faculty of Health Sciences, University of Macau, Macau Special Administrative Region999078, China
| | - Weiyu Peng
- Institute of Pediatrics, Shenzhen Children’s Hospital, Shenzhen518038, China
| | - Kefang Liu
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Shihua Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Lili Wu
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Jianyu Tong
- Shanxi Academy of Advanced Research and Innovation, Taiyuan030032, China
| | - Yan Chai
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Pu Han
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Feiran Wang
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- School of Life Sciences, University of Science and Technology of China, Hefei230026, China
| | - Peng Jia
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Zhaohui Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Xin Zhao
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Dedong Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Rong Zhang
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Laboratory of Animal Infectious Diseases, College of Animal Sciences and Veterinary Medicine, Guangxi University, Nanning530004, China
| | - Xue Zhang
- Department of Pathogen Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Weiwei Zou
- Department of Pathogen Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Weiwei Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Qihui Wang
- University of Chinese Academy of Sciences, Beijing100049, China
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - George Fu Gao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
- Research Network of Immunity and Health, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing100101, China
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Yan Wu
- Department of Pathogen Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Lianpan Dai
- University of Chinese Academy of Sciences, Beijing100049, China
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Feng Gao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
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10
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Zhao R, Niu S, Han P, Gao Y, Liu D, Luo C, Liu H, Liu B, Xu Y, Qi J, Chen Z, Shi W, Wu L, Gao GF, Wang Q. Cross-species recognition of bat coronavirus RsYN04 and cross-reaction of SARS-CoV-2 antibodies against the virus. Zool Res 2023; 44:1015-1025. [PMID: 37804113 PMCID: PMC10802104 DOI: 10.24272/j.issn.2095-8137.2023.187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 09/12/2023] [Indexed: 10/08/2023] Open
Abstract
Following the outbreak of coronavirus disease 2019 (COVID-19), several severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-related coronaviruses have been discovered. Previous research has identified a novel lineage of SARS-CoV-2-related CoVs in bats, including RsYN04, which recognizes human angiotensin-converting enzyme 2 (ACE2) and thus poses a potential threat to humans. Here, we screened the binding of the RsYN04 receptor-binding domain (RBD) to ACE2 orthologs from 52 animal species and found that the virus showed a narrower ACE2-binding spectrum than SARS-CoV-2. However, the presence of the T484W mutation in the RsYN04 RBD broadened its range. We also evaluated 44 SARS-CoV-2 antibodies targeting seven epitope communities in the SARS-CoV-2 RBD, together with serum obtained from COVID-19 convalescents and vaccinees, to determine their cross-reaction against RsYN04. Results showed that no antibodies, except for the RBD-6 and RBD-7 classes, bound to the RsYN04 RBD, indicating substantial immune differences from SARS-CoV-2. Furthermore, the structure of the RsYN04 RBD in complex with cross-reactive antibody S43 in RBD-7 revealed a potently broad epitope for the development of therapeutics and vaccines. Our findings suggest RsYN04 and other viruses belonging to the same clade have the potential to infect several species, including humans, highlighting the necessity for viral surveillance and development of broad anti-coronavirus countermeasures.
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Affiliation(s)
- Runchu Zhao
- Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Sheng Niu
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yue Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- School of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Dezhi Liu
- Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chunliang Luo
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Honghui Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Bo Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Yanli Xu
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhihai Chen
- Center of Infectious Disease, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging Infectious Diseases in Universities of Shandong, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong 271000, China
| | - Lili Wu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China. E-mail:
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qihui Wang
- Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China. E-mail:
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11
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Han P, Tofangchi A, Carr D, Zhang S, Hsu K. Enhancing the Piezoelectric Properties of 3D Printed PVDF Using Concurrent Torsional Shear Strain. Polymers (Basel) 2023; 15:4204. [PMID: 37959883 PMCID: PMC10647440 DOI: 10.3390/polym15214204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/07/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Extrusion-based polymer 3D printing induces shear strains within the material, influencing its rheological and mechanical properties. In materials like polyvinylidene difluoride (PVDF), these strains stretch polymer chains, leading to increased crystallinity and improved piezoelectric properties. This study demonstrates a 400% enhancement in the piezoelectric property of extrusion-printed PVDF by introducing additional shear strains during the printing process. The continuous torsional shear strains, imposed via a rotating extrusion nozzle, results in additional crystalline β-phases, directly impacting the piezoelectric behavior of the printed parts. The effect of the nozzle's rotational speed on the amount of β-phase formation is characterized using FTIR. This research introduces a new direction in the development of polymer and composite 3D printing, where in-process shear strains are used to control the alignment of polymer chains and/or in-fill phases and the overall properties of printed parts.
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Affiliation(s)
- Pu Han
- Ira A Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85212, USA;
| | - Alireza Tofangchi
- J. B. Speed School of Engineering, University of Louisville, Louisville, KY 40208, USA
| | - Derek Carr
- J. B. Speed School of Engineering, University of Louisville, Louisville, KY 40208, USA
| | - Sihan Zhang
- J. B. Speed School of Engineering, University of Louisville, Louisville, KY 40208, USA
| | - Keng Hsu
- Ira A Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85212, USA;
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12
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Han P, Meng Y, Zhang D, Xu Z, Li Z, Pan X, Zhao Z, Li L, Tang L, Qi J, Liu K, Gao GF. Structural basis of white-tailed deer, Odocoileus virginianus, ACE2 recognizing all the SARS-CoV-2 variants of concern with high affinity. J Virol 2023; 97:e0050523. [PMID: 37676003 PMCID: PMC10537675 DOI: 10.1128/jvi.00505-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/01/2023] [Indexed: 09/08/2023] Open
Abstract
SARS-CoV-2 has been expanding its host range, among which the white-tailed deer (WTD), Odocoileus virginianus, became the first wildlife species infected on a large scale and might serve as a host reservoir for variants of concern (VOCs) in case no longer circulating in humans. In this study, we comprehensively assessed the binding of the WTD angiotensin-converting enzyme 2 (ACE2) receptor to the spike (S) receptor-binding domains (RBDs) from the SARS-CoV-2 prototype (PT) strain and multiple variants. We found that WTD ACE2 could be broadly recognized by all of the tested RBDs. We further determined the complex structures of WTD ACE2 with PT, Omicron BA.1, and BA.4/5 S trimer. Detailed structural comparison revealed the important roles of RBD residues on 486, 498, and 501 sites for WTD ACE2 binding. This study deepens our understanding of the interspecies transmission mechanisms of SARS-CoV-2 and further addresses the importance of constant monitoring on SARS-CoV-2 infections in wild animals. IMPORTANCE Even if we manage to eliminate the virus among humans, it will still circulate among wildlife and continuously be transmitted back to humans. A recent study indicated that WTD may serve as reservoir for nearly extinct SARS-CoV-2 strains. Therefore, it is critical to evaluate the binding abilities of SARS-CoV-2 variants to the WTD ACE2 receptor and elucidate the molecular mechanisms of binding of the RBDs to assess the risk of spillback events.
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Affiliation(s)
- Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
| | - Yumin Meng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- University of Chinese Academy of Sciences , Beijing, China
| | - Di Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- Faculty of Health Sciences, University of Macau , Macau SAR, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- Faculty of Health Sciences, University of Macau , Macau SAR, China
| | - Zhiyuan Li
- College of Veterinary Medicine, China Agricultural University , Beijing, China
| | - Xiaoqian Pan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- University of Chinese Academy of Sciences , Beijing, China
| | - Zhennan Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
| | - Linjie Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
| | - Lingfeng Tang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- Faculty of Health Sciences, University of Macau , Macau SAR, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- University of Chinese Academy of Sciences , Beijing, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- Beijing Life Science Academy , Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS) , Beijing, China
- University of Chinese Academy of Sciences , Beijing, China
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13
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Zhang Y, Kang X, Liu S, Han P, Lei W, Xu K, Xu Z, Gao Z, Zhou X, An Y, Han Y, Liu K, Zhao X, Dai L, Wang P, Wu G, Qi J, Xu K, Gao GF. Broad protective RBD heterotrimer vaccines neutralize SARS-CoV-2 including Omicron sub-variants XBB/BQ.1.1/BF.7. PLoS Pathog 2023; 19:e1011659. [PMID: 37721934 PMCID: PMC10538664 DOI: 10.1371/journal.ppat.1011659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 09/28/2023] [Accepted: 09/04/2023] [Indexed: 09/20/2023] Open
Abstract
SARS-CoV-2 variants with severe immune evasion are a major challenge for COVID-19 prevention, especially the circulating Omicron XBB/BQ.1.1/BF.7 strains. Thus, the next-generation of broad-spectrum vaccines are urgently needed. Previously, we developed a COVID-19 protein subunit vaccine, ZF2001, based on the RBD-homodimer as the immunogen. To adapt SARS-CoV-2 variants, we developed chimeric RBD-heterodimers to induce broad immune responses. In this study, we further explored the concept of tandem RBD homotrimer and heterotrimer. Prototype SARS-CoV-2 RBD-homotrimer, prototype-Delta-BA.1 (PDO) RBD-heterotrimer and Delta-BA.2-BA.5 (DBA2BA5) RBD-heterotrimer were designed. Biochemical and cryo-EM structural characterization demonstrated total epitope exposure of the RBD-trimers. In mouse experiments, PDO and DBA2BA5 elicited broad SARS-CoV-2 neutralization. Potent protection against SARS-CoV-2 variants was observed in challenge assays and was correlated with neutralizing antibody titer. This study validated the design strategy of tandem RBD-heterotrimers as multivalent immunogens and presented a promising vaccine candidate, DBA2BA5, eliciting broad-spectrum immune responses, including against the circulating XBB/BF.7/BQ.1.1.
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Affiliation(s)
- Yanfang Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xinrui Kang
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Sheng Liu
- Cryo-EM Center, Southern University of Science and Technology, Shenzhen, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Wenwen Lei
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ke Xu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Zhengrong Gao
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Shenzhen Children’s Hospital, Shenzhen, China
| | - Xuemei Zhou
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- School of Life Sciences, Hebei University, Baoding, China
| | - Yaling An
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Yuxuan Han
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Lianpan Dai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Peiyi Wang
- Cryo-EM Center, Southern University of Science and Technology, Shenzhen, China
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Kun Xu
- Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
| | - George F. Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
- Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China
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14
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Han P, Tofangchi A, Zhang S, Izquierdo JJ, Hsu K. Interface Healing Between Adjacent Tracks in Fused Filament Fabrication Using In-Process Laser Heating. 3D Print Addit Manuf 2023; 10:808-815. [PMID: 37609586 PMCID: PMC10440681 DOI: 10.1089/3dp.2022.0127] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Fused filament fabrication is one of the most desired thermal plastic additive manufacturing processes because of its ability to fabricate complex objects with high accessibility. However, due to the extrusion track-based direct write process mechanism, parts built using this method exhibit anisotropic mechanical properties. In this work, an in-process laser heating method is introduced to heal interface adhesion between adjacent deposited tracks by increasing the interface temperature to promote polymer reptation and enhance bonding strength of the interface of adjacent tracks. With the use of laser heating induced interface healing, the measured flexural strength between adjacent tracks in the same layer increased and exceeded that of the control sample tested along the track direction. The effect of laser on interface healing was also verified by investigating the load-displacement curve and morphology analysis of the fractured surface.
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Affiliation(s)
- Pu Han
- Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, Arizona, USA
| | - Alireza Tofangchi
- J.B. Speed School of Engineering, University of Louisville, Louisville, Kentucky, USA
| | - Sihan Zhang
- J.B. Speed School of Engineering, University of Louisville, Louisville, Kentucky, USA
| | - Julio Jair Izquierdo
- J.B. Speed School of Engineering, University of Louisville, Louisville, Kentucky, USA
| | - Keng Hsu
- Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, Arizona, USA
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Hu X, Li W, Zeng K, Xu Z, Li C, Kang Z, Li S, Huang X, Han P, Lin H, Hui AM, Tan Y, Diao L, Li B, Wang X, Wu Z, Lin X. Phase 1 dose-escalation study to evaluate the safety, tolerability, pharmacokinetics, and anti-tumor activity of FCN-159 in adults with neurofibromatosis type 1-related unresectable plexiform neurofibromas. BMC Med 2023; 21:230. [PMID: 37400844 DOI: 10.1186/s12916-023-02927-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/07/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Surgery is a common treatment strategy for patients with neurofibromatosis type 1 (NF1)-related plexiform neurofibroma (PN) and has limited efficacy. FCN-159 is a novel anti-tumorigenic drug via selective inhibition of MEK1/2. This study assesses the safety and efficacy of FCN-159 in patients with NF1-related PN. METHODS This is a multicenter, open-label, single-arm, phase I dose-escalation study. Patients with NF1-related PN that was non-resectable or unsuitable for surgery were enrolled; they received FCN-159 monotherapy daily in 28-day cycles. RESULTS Nineteen adults were enrolled in the study, 3 in 4 mg, 4 in 6 mg, 8 in 8 mg, and 4 in 12 mg. Among patients included in dose-limiting toxicity (DLT) analysis, DLTs (grade 3 folliculitis) were reported in 1 of 8 patients (16.7%) receiving 8 mg and 3 of 3 (100%) patients receiving 12 mg. The maximum tolerated dose was determined to be 8 mg. FCN-159-related treatment-emergent adverse events (TEAEs) were observed in 19 patients (100%); most of which were grade 1 or 2. Nine (47.4%) patients reported grade 3 study-drug-related TEAEs across all dose levels, including four experiencing paronychia and five experiencing folliculitis. Of the 16 patients analyzed, all (100%) had reduced tumor size and six (37.5%) achieved partial responses; the largest reduction in tumor size was 84.2%. The pharmacokinetic profile was approximately linear between 4 and 12 mg, and the half-life supported once daily dosing. CONCLUSIONS FCN-159 was well tolerated up to 8 mg daily with manageable adverse events and showed promising anti-tumorigenic activity in patients with NF1-related PN, warranting further investigation in this indication. TRIAL REGISTRATION ClinicalTrials.gov, NCT04954001. Registered 08 July 2021.
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Affiliation(s)
- Xiaojie Hu
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Kang Zeng
- Department of Dermatology, NanFang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, Guangdong, 510515, China
| | - Zhongyuan Xu
- Clinical Pharmacy Center, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, Guangdong, 510515, China
| | - Changxing Li
- Department of Dermatology, NanFang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, Guangdong, 510515, China
| | - Zhuang Kang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Shenglan Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China
| | - Xin Huang
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd, 1289 Yishan Road, Shanghai, 200233, China
| | - Pu Han
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd, 1289 Yishan Road, Shanghai, 200233, China
| | - Hongmei Lin
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd, 1289 Yishan Road, Shanghai, 200233, China
| | - Ai-Min Hui
- Fosun Pharma USA Inc., 91 Hartwell Ave Suite 305, Lexington, MA, 02421, USA
- EnCureGen Pharma, 9 Yayingshi Road, Guangzhou, 510525, China
| | - Yan Tan
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd, 1289 Yishan Road, Shanghai, 200233, China
| | - Lei Diao
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd, 1289 Yishan Road, Shanghai, 200233, China
| | - Ben Li
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd, 1289 Yishan Road, Shanghai, 200233, China
| | - Xingli Wang
- Shanghai Fosun Pharmaceutical Development Co., Ltd, 1289 Yishan Road, Shanghai, 20033, China
| | - Zhuli Wu
- Shanghai Fosun Pharmaceutical Development Co., Ltd, 1289 Yishan Road, Shanghai, 20033, China.
| | - Xiaoxi Lin
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, 639 Zhizaoju Road, Shanghai, 200011, China.
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Li Y, Liu P, Hao T, Liu S, Wang X, Xie Y, Xu K, Lei W, Zhang C, Han P, Li Y, Jin X, Huan Y, Lu Y, Zhang R, Li X, Zhao X, Xu K, Liao P, Lu X, Bi Y, Song H, Wu G, Zhu B, Gao GF. Rational design of an influenza-COVID-19 chimeric protective vaccine with S-RBD and HA-stalk. Emerg Microbes Infect 2023:2231573. [PMID: 37394992 DOI: 10.1080/22221751.2023.2231573] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Highly contagious respiratory illnesses like influenza and COVID-19 pose serious risks to public health. A two-in-one vaccine would be ideal to avoid multiple vaccinations for these diseases. Here, we generated a chimeric receptor binding domain of the spike protein (S-RBD) and hemagglutinin (HA)-stalk-based vaccine for both SARS-CoV-2 and influenza viruses. The S-RBD from SARS-CoV-2 Delta was fused to the headless HA from H1N1 (H1Delta), creating a chimera that forms trimers in solution. The cryo-electron microscopy structure of the chimeric protein complexed with the RBD-targeting CB6 and the HA-stalk-targeting CR9114 antibodies shows that the trimeric protein is stable and accessible for neutralizing antibody binding. Immunization with the vaccine elicited high and long-lasting neutralizing antibodies and effectively protected mice against the challenges of lethal H1N1 or heterosubtypic H5N8, as well as the SARS-CoV-2 Delta or Omicron BA.2 variants. Overall, this study offers a two-in-one universal vaccine design to combat infections caused by both SARS-CoV-2 variants of concern and influenza viruses.
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Affiliation(s)
- Yulei Li
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Tianjiao Hao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Sheng Liu
- Cryo-EM Center, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xi Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yufeng Xie
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Ke Xu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Wenwen Lei
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Cheng Zhang
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi 830017, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ying Li
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Xiyue Jin
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Yu Huan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yafei Lu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Rong Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530004, China
| | - Xiaoyan Li
- Laboratory Animal Center, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Kun Xu
- Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
| | - Pu Liao
- Department of Clinical Laboratory, Chongqing General Hospital, Chongqing, 400016, China
| | - Xuancheng Lu
- Laboratory Animal Center, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hao Song
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - George F Gao
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 101408, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
- Research Network of Immunity and Health (RNIH), Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China
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Liang FY, Lin PL, Lin XJ, Han P, Chen RH, Wang JY, Zou X, Huang XM. [Preliminary experience of gasless transoral vestibular robotic thyroidectomy]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:596-601. [PMID: 37339900 DOI: 10.3760/cma.j.cn115330-20221108-00672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/22/2023]
Abstract
Objective: To explore the feasibility and safety of the gasless transoral vestibular robotic thyroidectomy using skin suspension. Methods: The clinical data of 20 patients underwent gasless transoral vestibular robotic thyroidectomy in the Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University from February 2022 to May 2022 were retrospectively analyzed. Among them, 18 were females and 2 were males, aged (38.7±8.0) years old. The intraoperative blood loss, operation time, postoperative hospital stay, postoperative drainage volume, postoperative pain visual analogue scale (VAS) score, postoperative swallowing function swallowing impairment score-6 (SIS-6), postoperative aesthetic VAS score, postoperative voice handicap index-10 (VHI-10) voice quality, postoperative pathology and complications were recorded. SPSS 25.0 was used for statistical analysis of the data. Results: The operations were successfully completed without conversion to open surgery in all patients. Pathological examination showed papillary thyroid carcinoma in 18 cases, retrosternal nodular goiter in 1 case, and cystic change in goiter in 1 case. The operative time for thyroid cancer was 161.50 (152.75, 182.50) min [M (P25, P75), the same below] and the average operative time for benign thyroid diseases was 166.50 minutes. The intraoperative blood loss 25.00 (21.25, 30.00) ml. In 18 cases of thyroid cancer, the mean diameter of the tumors was (7.22±2.02) mm, and lymph nodes (6.56±2.14) were dissected in the central region, with a lymph node metastasis rate of 61.11%. The postoperative pain VAS score was 3.00 (2.25, 4.00) points at 24 hours, the mean postoperative drainage volume was (118.35±24.32) ml, the postoperative hospital stay was 3.00 (3.00, 3.75) days, the postoperative SIS-6 score was (4.90±1.58) points at 3 months, and the postoperative VHI-10 score was 7.50 (2.00, 11.00) points at 3 months. Seven patients had mild mandibular numbness, 10 patients had mild cervical numbness, and 3 patients had temporary hypothyroidism three months after surgery and 1 patient had skin flap burn, but recovered one month after surgery. All patients were satisfied with the postoperative aesthetic effects, and the postoperative aesthetic VAS score was 10.00 (10.00, 10.00). Conclusion: Gasless transoral vestibular robotic thyroidectomy using skin suspension is a safe and feasible option with good postoperative aesthetic effect, which can provide a new treatment option for some selected patients with thyroid tumors.
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Affiliation(s)
- F Y Liang
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - P L Lin
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - X J Lin
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - P Han
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - R H Chen
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - J Y Wang
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - X Zou
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
| | - X M Huang
- Department of Otorhinolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Key Laboratory of Epigenetics and Gene Regulation of Malignant Tumor in Guangdong Province, Guangzhou 510280, China
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18
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Wei J, Hu T, Dai J, Wang Z, Han P, Huang W. Research on named entity recognition of adverse drug reactions based on NLP and deep learning. Front Pharmacol 2023; 14:1121796. [PMID: 37332351 PMCID: PMC10270322 DOI: 10.3389/fphar.2023.1121796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/23/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction: Adverse drug reactions (ADR) are directly related to public health and become the focus of public and media attention. At present, a large number of ADR events have been reported on the Internet, but the mining and utilization of such information resources is insufficient. Named entity recognition (NER) is the basic work of many natural language processing (NLP) tasks, which aims to identify entities with specific meanings from natural language texts. Methods: In order to identify entities from ADR event data resources more effectively, so as to provide valuable health knowledge for people, this paper introduces ALBERT in the input presentation layer on the basis of the classic BiLSTM-CRF model, and proposes a method of ADR named entity recognition based on the ALBERT-BiLSTM-CRF model. The textual information about ADR on the website "Chinese medical information query platform" (https://www.dayi.org.cn) was collected by the crawler and used as research data, and the BIO method was used to label three types of entities: drug name (DRN), drug component (COM), and adverse drug reactions (ADR) to build a corpus. Then, the words were mapped to the word vector by using the ALBERT module to obtain the character level semantic information, the context coding was performed by the BiLSTM module, and the label decoding was using the CRF module to predict the real label. Results: Based on the constructed corpus, experimental comparisons were made with two classical models, namely, BiLSTM-CRF and BERT-BiLSTM-CRF. The experimental results show that the F 1 of our method is 91.19% on the whole, which is 1.5% and 1.37% higher than the other two models respectively, and the performance of recognition of three types of entities is significantly improved, which proves the superiority of this method. Discussion: The method proposed can be used effectively in NER from ADR information on the Internet, which provides a basis for the extraction of drug-related entity relationships and the construction of knowledge graph, thus playing a role in practical health systems such as intelligent diagnosis, risk reasoning and automatic question answering.
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Affiliation(s)
- Jianxiang Wei
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Tianling Hu
- School of Cyber Science and Engineering, Southeast University, Nanjing, China
| | - Jimin Dai
- School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Ziren Wang
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Pu Han
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Weidong Huang
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China
- Key Research Base of Philosophy and Social Sciences in Jiangsu-Information Industry Integration Innovation and Emergency Management Research Center, Nanjing, China
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19
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Han P, Zhang S, Yang Z, Riyad MF, Popa DO, Hsu K. In-Process Orbiting Laser-Assisted Technique for the Surface Finish in Material Extrusion-Based 3D Printing. Polymers (Basel) 2023; 15:polym15092221. [PMID: 37177367 PMCID: PMC10181483 DOI: 10.3390/polym15092221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/26/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023] Open
Abstract
Material extrusion-based polymer 3D printing, one of the most commonly used additive manufacturing processes for thermoplastics and composites, has drawn extensive attention due to its capability and cost effectiveness. However, the low surface finish quality of the printed parts remains a drawback due to the nature of stacking successive layers along one direction and the nature of rastering of the extruded tracks of material. In this work, an in-process thermal radiation-assisted, surface reflow method is demonstrated that significantly improves the surface finish of the sidewalls of printed parts. It is observed that the surface finish of the printed part is drastically improved for both flat and curved surfaces. The effect of surface reflow on roughness reduction was characterized using optical profilometry and scanning electron microscopy (SEM), while the local heated spot temperature was quantified using a thermal camera.
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Affiliation(s)
- Pu Han
- Ira A Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85212, USA
| | - Sihan Zhang
- J. B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - Zhong Yang
- J. B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - M Faisal Riyad
- Ira A Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85212, USA
| | - Dan O Popa
- J. B. Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA
| | - Keng Hsu
- Ira A Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85212, USA
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20
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Gainza P, Wehrle S, Van Hall-Beauvais A, Marchand A, Scheck A, Harteveld Z, Buckley S, Ni D, Tan S, Sverrisson F, Goverde C, Turelli P, Raclot C, Teslenko A, Pacesa M, Rosset S, Georgeon S, Marsden J, Petruzzella A, Liu K, Xu Z, Chai Y, Han P, Gao GF, Oricchio E, Fierz B, Trono D, Stahlberg H, Bronstein M, Correia BE. De novo design of protein interactions with learned surface fingerprints. Nature 2023; 617:176-184. [PMID: 37100904 PMCID: PMC10131520 DOI: 10.1038/s41586-023-05993-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 03/21/2023] [Indexed: 04/28/2023]
Abstract
Physical interactions between proteins are essential for most biological processes governing life1. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This knowledge gap has been a major obstacle for the comprehensive understanding of cellular protein-protein interaction networks and for the de novo design of protein binders that are crucial for synthetic biology and translational applications2-9. Here we use a geometric deep-learning framework operating on protein surfaces that generates fingerprints to describe geometric and chemical features that are critical to drive protein-protein interactions10. We hypothesized that these fingerprints capture the key aspects of molecular recognition that represent a new paradigm in the computational design of novel protein interactions. As a proof of principle, we computationally designed several de novo protein binders to engage four protein targets: SARS-CoV-2 spike, PD-1, PD-L1 and CTLA-4. Several designs were experimentally optimized, whereas others were generated purely in silico, reaching nanomolar affinity with structural and mutational characterization showing highly accurate predictions. Overall, our surface-centric approach captures the physical and chemical determinants of molecular recognition, enabling an approach for the de novo design of protein interactions and, more broadly, of artificial proteins with function.
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Affiliation(s)
- Pablo Gainza
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Monte Rosa Therapeutics, Basel, Switzerland
| | - Sarah Wehrle
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Alexandra Van Hall-Beauvais
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Anthony Marchand
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Andreas Scheck
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Zander Harteveld
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stephen Buckley
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Dongchun Ni
- Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Freyr Sverrisson
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Casper Goverde
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Priscilla Turelli
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Charlène Raclot
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexandra Teslenko
- Laboratory of Biophysical Chemistry of Macromolecules, School of Basic Sciences, Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Martin Pacesa
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Stéphane Rosset
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sandrine Georgeon
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jane Marsden
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Aaron Petruzzella
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yan Chai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Elisa Oricchio
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Beat Fierz
- Laboratory of Biophysical Chemistry of Macromolecules, School of Basic Sciences, Institute of Chemical Sciences and Engineering (ISIC), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Didier Trono
- Laboratory of Virology and Genetics, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Henning Stahlberg
- Laboratory of Biological Electron Microscopy, Institute of Physics, School of Basic Science, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Fundamental Microbiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | | | - Bruno E Correia
- Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
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Li J, Tan Y, Li K, Hui AM, Wu Z, Han P, Wei Z, Qiu J, Diao L, Wang X. Effect of Food (Low and High Fat) on Pharmacokinetics of FCN-159, a Selective MEK Inhibitor, in Healthy Chinese Males. Adv Ther 2023; 40:1074-1086. [PMID: 36627544 DOI: 10.1007/s12325-022-02375-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 10/27/2022] [Indexed: 01/12/2023]
Abstract
INTRODUCTION FCN-159 is a novel, oral, potent, selective MEK1/2 inhibitor in clinical development for the treatment of NRAS-mutant advanced melanoma and neurofibromatosis type 1. We investigated the effect of food on the pharmacokinetics (PK), safety, and tolerability of FCN-159. METHODS In this single-center, open-label, phase 1 study with a three-period, three-sequence, crossover design, healthy Chinese male subjects (n = 24) were randomized (1:1:1) to receive a single, oral 8 mg dose of FCN-159 in the fasted state (overnight, > 10 h), and with a low-fat and a high-fat meal, separated by a 10-day washout. PK parameters including time to maximum plasma concentration (Cmax) and area under the concentration-time curve (AUC) were compared using geometric least-squares mean ratios (GLSMR), with the fasted state as the reference. A 90% CI for the GLSMR within 80-125% indicated no significant food effect. RESULTS A low-fat meal (n = 23) did not affect the PK profile of FCN-159: G LSMR for AUC from time 0 to t (AUC0-t), 106.9% (90% CI 99.9-114.4%); AUC from time 0 to infinity (AUC0-∞), 106.8% (90% CI 100.0-114.0%); Cmax, 96.4% (90% CI 83.9-110.8%). A high-fat meal (n = 24) did not affect exposure to FCN-159 (GLSMR for AUC0-t, 99.4%; 90% CI 99.0-106.3%; AUC0-∞, 99.5 5%; 90% CI 93.2-106.1%), but modestly reduced Cmax by 15% (GLSMR 84.9%; 90% CI 74.0-97.3%). Both the low-fat and high-fat meals slightly prolonged the median time to Cmax by 0.5 h (90% CI 0.5-1.0 h). FCN-159 was generally well tolerated, with a lower incidence of treatment-emergent adverse events following administration in the fasted state than with a low-fat or high-fat meal (20.8%, 39.1%, and 37.5%, respectively). CONCLUSION Food did not affect the PK profile of FCN-159 to a clinically meaningful extent compared with administration in the fasted state.
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Affiliation(s)
- Jiangfan Li
- Department of Clinical Pharmacology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China
| | - Yan Tan
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., 1289 Yishan Road, Shanghai, 200233, China
| | - Kexin Li
- Clinical Trial Center, Beijing Hospital, Beijing, 100730, China
| | - Ai-Min Hui
- Fosun Pharma USA Inc., 91 Hartwell Ave Suite 305, Lexington, MA, 02421, USA
| | - Zhuli Wu
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., 1289 Yishan Road, Shanghai, 200233, China
| | - Pu Han
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., 1289 Yishan Road, Shanghai, 200233, China
| | - Zhen Wei
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., 1289 Yishan Road, Shanghai, 200233, China
| | - Jingjun Qiu
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., 1289 Yishan Road, Shanghai, 200233, China
| | - Lei Diao
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., 1289 Yishan Road, Shanghai, 200233, China.
| | - Xuhong Wang
- Department of Clinical Pharmacology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
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22
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Hu Y, Liu K, Han P, Xu Z, Zheng A, Pan X, Jia Y, Su C, Tang L, Wu L, Bai B, Zhao X, Tian D, Chen Z, Qi J, Wang Q, Gao GF. Host range and structural analysis of bat-origin RshSTT182/200 coronavirus binding to human ACE2 and its animal orthologs. EMBO J 2023; 42:e111737. [PMID: 36519268 PMCID: PMC9877840 DOI: 10.15252/embj.2022111737] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 11/07/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
Bat-origin RshSTT182 and RshSTT200 coronaviruses (CoV) from Rhinolophus shameli in Southeast Asia (Cambodia) share 92.6% whole-genome identity with SARS-CoV-2 and show identical receptor-binding domains (RBDs). In this study, we determined the structure of the RshSTT182/200 receptor binding domain (RBD) in complex with human angiotensin-converting enzyme 2 (hACE2) and identified the key residues that influence receptor binding. The binding of the RshSTT182/200 RBD to ACE2 orthologs from 39 animal species, including 18 bat species, was used to evaluate its host range. The RshSTT182/200 RBD broadly recognized 21 of 39 ACE2 orthologs, although its binding affinities for the orthologs were weaker than those of the RBD of SARS-CoV-2. Furthermore, RshSTT182 pseudovirus could utilize human, fox, and Rhinolophus affinis ACE2 receptors for cell entry. Moreover, we found that SARS-CoV-2 induces cross-neutralizing antibodies against RshSTT182 pseudovirus. Taken together, these findings indicate that RshSTT182/200 can potentially infect susceptible animals, but requires further evolution to obtain strong interspecies transmission abilities like SARS-CoV-2.
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Affiliation(s)
- Yu Hu
- School of Life Sciences, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Zepeng Xu
- Faculty of Health SciencesUniversity of MacauMacau SARChina
| | - Anqi Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xiaoqian Pan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yunfei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- College of Veterinary MedicineShanxi Agricultural UniversityJinzhongChina
| | - Chao Su
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- Department of Biomedical SciencesCity University of Hong KongHong Kong SARChina
| | - Lingfeng Tang
- Faculty of Health SciencesUniversity of MacauMacau SARChina
| | - Lili Wu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Bin Bai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Di Tian
- Center of Infectious Disease, Beijing Ditan HospitalCapital Medical UniversityBeijingChina
| | - Zhihai Chen
- Center of Infectious Disease, Beijing Ditan HospitalCapital Medical UniversityBeijingChina
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - George F Gao
- School of Life Sciences, Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiChina
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
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23
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Li D, Xu S, Zhu W, Han P. Identification of endothelial-related molecular subtypes for bladder cancer patients based on single-cell and bulk RNA sequencing data. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00479-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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24
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Tan Y, Cui A, Qian L, Li C, Wu Z, Yang Y, Han P, Huang X, Diao L. Population pharmacokinetics of FCN-159, a MEK1/2 inhibitor, in adult patients with advanced melanoma and neurofibromatosis type 1 (NF1) and model informed dosing recommendations for NF1 pediatrics. Front Pharmacol 2023; 14:1101991. [PMID: 36755948 PMCID: PMC9899833 DOI: 10.3389/fphar.2023.1101991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 01/09/2023] [Indexed: 01/24/2023] Open
Abstract
Objective: FCN-159 is a highly active mitogen-activated extracellular signal-regulated kinase 1/2 (MEK1/2) inhibitor in patients with advanced melanoma and neurofibromatosis type 1 (NF1). We report a population pharmacokinetic (PopPK) model-based analysis of FCN-159 and its application to inform dose selection for NF1 pediatric trials. Methods: PK data collected from patients with advanced melanoma and NF1 in two clinical studies (NCT03932253 and NCT04954001) were analyzed using a non-linear mixed effects model. The adult model was adapted by incorporating allometric scaling for PK projection in 2-17 years old children. Pediatric exposure in different body surface area (BSA) bins was simulated to identify nominal doses (i.e., dose amounts given as integers) and BSA bin cutoffs to achieve exposure comparable to adults' optimal exposure across the entire pediatric BSA range. Results: The final dataset consisted of 45 subjects with a total of 1030 PK samples. The PK of FCN-159 was well-described by a 2-compartment model with first-order linear elimination and delayed first-order absorption. Covariates, including BSA, age, sex, albumin, total protein, and cancer type, were identified as statistically significant predictors of FCN-159 disposition. Simulations based on the final model projected daily doses of 4 mg/m2 QD with optimized BSA bin cutoffs would allow fixed nominal doses within each bin and result in steady state exposure approximating the adult exposure observed at the recommended phase 2 dose (RP2D) in NF1, which is 8 mg QD. Conclusion: The developed population PK model adequately described the PK profile of FCN-159, which was adapted using allometric scaling to inform dose selection for NF1 pediatric trials.
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Affiliation(s)
- Yan Tan
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Ailing Cui
- dMed Biopharmaceutical Co., Ltd., Shanghai, China
| | - Lixuan Qian
- dMed Biopharmaceutical Co., Ltd., Shanghai, China
| | - Chao Li
- Fosun Pharma USA Inc., Princeton, MA, United States
| | - Zhuli Wu
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Yuchen Yang
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Pu Han
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Xin Huang
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Lei Diao
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
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25
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Han Y, Han P, Yuan B, Zhang Z, Liu L, Panneerselvam J. Design and Application of Vague Set Theory and Adaptive Grid Particle Swarm Optimization Algorithm in Resource Scheduling Optimization. J Grid Comput 2023; 21:24. [PMID: 37089625 PMCID: PMC10103021 DOI: 10.1007/s10723-023-09660-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/28/2023] [Indexed: 05/03/2023]
Abstract
The purpose of resource scheduling is to deal with all kinds of unexpected events that may occur in life, such as fire, traffic jam, earthquake and other emergencies, and the scheduling algorithm is one of the key factors affecting the intelligent scheduling system. In the traditional resource scheduling system, because of the slow decision-making, it is difficult to meet the needs of the actual situation, especially in the face of emergencies, the traditional resource scheduling methods have great disadvantages. In order to solve the above problems, this paper takes emergency resource scheduling, a prominent scheduling problem, as an example. Based on Vague set theory and adaptive grid particle swarm optimization algorithm, a multi-objective emergency resource scheduling model is constructed under different conditions. This model can not only integrate the advantages of Vague set theory in dealing with uncertain problems, but also retain the advantages of adaptive grid particle swarm optimization that can solve multi-objective optimization problems and can quickly converge. The research results show that compared with the traditional resource scheduling optimization algorithm, the emergency resource scheduling model has higher resolution accuracy, more reasonable resource allocation, higher efficiency and faster speed in dealing with emergency events than the traditional resource scheduling model. Compared with the conventional fuzzy theory emergency resource scheduling model, its handling speed has increased by more than 3.82 times.
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Affiliation(s)
- Yibo Han
- Nanyang Institute of Big Data Research, Nanyang Institute of Technology, Nanyang, 473004 China
| | - Pu Han
- School of Information Engineering, Nanyang Institute of Technology, Nanyang, 473004 China
| | - Bo Yuan
- Department of Informatics, University of Leicester, University Rd, Leicester, LE1 7RH UK
| | - Zheng Zhang
- School of Computer and Software, Nanyang Institute of Technology, Nanyang, 473004 China
| | - Lu Liu
- Department of Informatics, University of Leicester, University Rd, Leicester, LE1 7RH UK
| | - John Panneerselvam
- Department of Informatics, University of Leicester, University Rd, Leicester, LE1 7RH UK
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26
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Han P, Han L, Yuan B, Pan JS, Shang J. A Parallelizable Task Offloading Model with Trajectory-Prediction for Mobile Edge Networks. Entropy (Basel) 2022; 24:1464. [PMID: 37420485 DOI: 10.3390/e24101464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/30/2022] [Accepted: 10/10/2022] [Indexed: 07/09/2023]
Abstract
As an emerging computing model, edge computing greatly expands the collaboration capabilities of the servers. It makes full use of the available resources around the users to quickly complete the task request coming from the terminal devices. Task offloading is a common solution for improving the efficiency of task execution on edge networks. However, the peculiarities of the edge networks, especially the random access of mobile devices, brings unpredictable challenges to the task offloading in a mobile edge network. In this paper, we propose a trajectory prediction model for moving targets in edge networks without users' historical paths which represents their habitual movement trajectory. We also put forward a mobility-aware parallelizable task offloading strategy based on a trajectory prediction model and parallel mechanisms of tasks. In our experiments, we compared the hit ratio of the prediction model, network bandwidth and task execution efficiency of the edge networks by using the EUA data set. Experimental results showed that our model is much better than random, non-position prediction parallel, non-parallel strategy-based position prediction. Where the task offloading hit rate is closed to the user's moving speed, when the speed is less 12.96 m/s, the hit rate can reach more than 80%. Meanwhile, we we also find that the bandwidth occupancy is significantly related to the degree of task parallelism and the number of services running on servers in the network. The parallel strategy can boost network bandwidth utilization by more than eight times when compared to a non-parallel policy as the number of parallel activities grows.
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Affiliation(s)
- Pu Han
- School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China
- National Supercomputing Center in Zhengzhou, Zhengzhou University, Zhengzhou 450000, China
- Nanyang Institute of Technology, No.80, Changjiang Road, Nanyang 473000, China
| | - Lin Han
- National Supercomputing Center in Zhengzhou, Zhengzhou University, Zhengzhou 450000, China
| | - Bo Yuan
- School of Informatics, University of Leicester, Leicester LE1 7RH, UK
| | - Jeng-Shyang Pan
- College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China
- Department of Information Management, Chaoyang University of Technology, Taichung 413310, Taiwan
| | - Jiandong Shang
- National Supercomputing Center in Zhengzhou, Zhengzhou University, Zhengzhou 450000, China
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27
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Zhang YX, Yang YF, Han P, Ye PC, Kong H. Protein-energy malnutrition worsens hospitalization outcomes of patients with pancreatic cancer undergoing open pancreaticoduodenectomy. Updates Surg 2022; 74:1627-1636. [PMID: 35524935 PMCID: PMC9481483 DOI: 10.1007/s13304-022-01293-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 04/18/2022] [Indexed: 12/02/2022]
Abstract
To assess the role of protein-energy malnutrition on perioperative outcomes in patients with pancreatic cancer undergoing open pancreaticoduodenectomy. We conducted a retrospective observational cohort study and investigated patients ≥ 18 years old with pancreatic cancer undergoing open pancreaticoduodenectomy within the National inpatient sample database during 2012-2014. The study population was divided into two groups based on the presence of protein-energy malnutrition. In-hospital mortality, length of stay, cost of hospitalization, and in-hospital complications were compared between the two groups. Logistic and linear regression analyses were used to adjust for potential confounders. A trend analysis was further conducted on the in-hospital outcomes. Of the 12,785 patients aged ≥ 18 years undergoing open pancreaticoduodenectomy during years 2012-2014, 9865 (77.0%) had no protein-energy malnutrition and 2920 (23.0%) had protein-energy malnutrition. Patients with protein-energy malnutrition were found to have significantly higher mortality rate, longer length of hospital stay, and higher total hospital cost compared to those without protein-energy malnutrition. The risks of gastroparesis, small bowel obstruction, intraoperative and postoperative hemorrhage, infectious complications, and several systemic complications were found to be significantly higher in the protein-energy malnutrition group in a multivariate regression model. A study of trends from 2009 to 2012 revealed an increasing prevalence of protein-energy malnutrition, a declining trend in mortality and length of stay and a stable total hospital cost in the protein-energy malnutrition group. Protein-energy malnutrition was found to be associated with higher mortality, longer length of hospital stay and greater hospital cost in pancreatic cancer patients undergoing open pancreaticoduodenectomy, as well as increased occurrence of various systemic complications. Attention should be paid to patients' nutritional status, which can be corrected before surgery as an effective means to optimize postoperative results.
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Affiliation(s)
- Yu-Xiu Zhang
- Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, No. 8 Xishiku Street, Beijing, 100034 China
| | - Yi-Feng Yang
- Department of Internal Medicine, University of Iowa Hospitals and Clinic, Iowa, USA
| | - Pu Han
- Department of General Surgery, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, 95 Yong-an Road, Xi-Cheng District, Beijing, 100050 China
| | - Peng-Cheng Ye
- Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, No. 8 Xishiku Street, Beijing, 100034 China
| | - Hao Kong
- Department of Anesthesiology and Critical Care Medicine, Peking University First Hospital, No. 8 Xishiku Street, Beijing, 100034 China
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28
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Liang FY, Han P, Lin PL, Chen RH, Wang JY, Huang XM. [Preliminary experience of robotic lateral neck dissection via combined axillary-retroauricular approach for N1b papillary thyroid carcinoma]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:1072-1078. [PMID: 36177561 DOI: 10.3760/cma.j.cn115330-20211231-00837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the feasibility, safety, and short-term efficacy of robotic lateral neck dissection via combined axillary-retroauricular approach for N1b papillary thyroid carcinoma (PTC). Methods: Thirty patients with cT1-2N1bM0 PTC who received robotic lateral neck dissection via combined axillary-retroauricular approach were included in the Department of Otorhinolaryngology of Sun Yat-sen Memorial Hospital from December 2016 to December 2020. There were 10 males and 20 females, with a median age of 34.5 years and a median body mass index of 25.55 kg/m2. The clinical, surgical, complications, pathology and follow-up data were analysed with SPSS 25.0 software package. Results: The median operative time of 30 patients was 255.50 min, the median operative blood loss was 69.00 ml, and the median postoperative hospital stay was 6.00 days. The incidence of postoperative temporary recurrent laryngeal nerve paralysis was 3.33% (1/30), temporary hypoparathyroidism was 16.67%(5/30), temporary accessory nerve injury was 3.33% (1/30), hematoma was 3.33% (1/30) and chylous leakage was 3.33% (1/30). The median visual analogue scale (VAS) score was 8.00, and the follow-up time was 13-38 months, with a median of 25.5 months. One case showed cervical lymph node recurrence 14 months after surgery. The most recent dynamic recurrence risk stratification showed 21 patients (70.00%) had excellent responses. Conclusions: Robotic lateral neck dissection via combined axillary-retroauricular approach for unilateral cN1b PTC is safe, feasible and aesthetic. The short-term efficacy and dynamic recurrence risk stratification results of short-term follow-up are satisfactory. It can provide a surgical option for cN1b PTC patients.
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Affiliation(s)
- F Y Liang
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - P Han
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - P L Lin
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - R H Chen
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - J Y Wang
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - X M Huang
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
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29
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Kraay ANM, Gallagher ME, Ge Y, Han P, Baker JM, Koelle K, Handel A, Lopman BA. The role of booster vaccination and ongoing viral evolution in seasonal circulation of SARS-CoV-2. J R Soc Interface 2022; 19:20220477. [PMID: 36067790 PMCID: PMC9448498 DOI: 10.1098/rsif.2022.0477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Periodic resurgences of COVID-19 in the coming years can be expected, while public health interventions may be able to reduce their intensity. We used a transmission model to assess how the use of booster doses and non-pharmaceutical interventions (NPIs) amid ongoing pathogen evolution might influence future transmission waves. We find that incidence is likely to increase as NPIs relax, with a second seasonally driven surge expected in autumn 2022. However, booster doses can greatly reduce the intensity of both waves and reduce cumulative deaths by 20% between 7 January 2022 and 7 January 2023. Reintroducing NPIs during the autumn as incidence begins to increase again could also be impactful. Combining boosters and NPIs results in a 30% decrease in cumulative deaths, with potential for greater impacts if variant-adapted boosters are used. Reintroducing these NPIs in autumn 2022 as transmission rates increase provides similar benefits to sustaining NPIs indefinitely (307 000 deaths with indefinite NPIs and boosters compared with 304 000 deaths with transient NPIs and boosters). If novel variants with increased transmissibility or immune escape emerge, deaths will be higher, but vaccination and NPIs are expected to remain effective tools to decrease both cumulative and peak health system burden, providing proportionally similar relative impacts.
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Affiliation(s)
- A N M Kraay
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA.,Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - M E Gallagher
- Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Y Ge
- School of Health Professions - Public Health, University of Southern Mississippi, Hattiesburg, MS, USA
| | - P Han
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - J M Baker
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - K Koelle
- Department of Biology, Emory University, Atlanta, GA, USA
| | - A Handel
- Department of Epidemiology & Biostatistics, University of Georgia, Athens, GA, USA.,Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - B A Lopman
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
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30
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Tang L, Zhang D, Han P, Kang X, Zheng A, Xu Z, Zhao X, Wang VYF, Qi J, Wang Q, Liu K, Gao GF. Structural basis of SARS-CoV-2 and its variants binding to intermediate horseshoe bat ACE2. Int J Biol Sci 2022; 18:4658-4668. [PMID: 35874946 PMCID: PMC9305271 DOI: 10.7150/ijbs.73640] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 06/09/2022] [Indexed: 11/05/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a global pandemic. Intermediate horseshoe bats (Rhinolophus affinis) are hosts of RaTG13, the second most phylogenetically related viruses to SARS-CoV-2. We report the binding between intermediate horseshoe bat ACE2 (bACE2-Ra) and SARS-CoV-2 receptor-binding domain (RBD), supporting the pseudotyped SARS-CoV-2 viral infection. A 3.3 Å resolution crystal structure of the bACE2-Ra/SARS-CoV-2 RBD complex was determined. The interaction networks of Patch 1 showed differences in R34 and E35 of bACE2-Ra compared to hACE2 and big-eared horseshoe bat ACE2 (bACE2-Rm). The E35K substitution, existing in other species, significantly enhanced the binding affinity owing to its electrostatic attraction with E484 of SARS-CoV-2 RBD. Furthermore, bACE2-Ra showed extensive support for the SARS-CoV-2 variants. These results broaden our knowledge of the ACE2/RBD interaction mechanism and emphasize the importance of continued surveillance of intermediate horseshoe bats to prevent spillover risk.
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Affiliation(s)
- Lingfeng Tang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,Faculty of Health Sciences, University of Macau, Macau SAR 999078, China
| | - Di Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,Faculty of Health Sciences, University of Macau, Macau SAR 999078, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xinrui Kang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Anqi Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,Faculty of Health Sciences, University of Macau, Macau SAR 999078, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Vivien Ya-Fan Wang
- Faculty of Health Sciences, University of Macau, Macau SAR 999078, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.,Faculty of Health Sciences, University of Macau, Macau SAR 999078, China
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31
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Li L, Han P, Huang B, Xie Y, Li W, Zhang D, Han P, Xu Z, Bai B, Zhou J, Kang X, Li X, Zheng A, Zhang R, Qiao S, Zhao X, Qi J, Wang Q, Liu K, Gao GF. Broader-species receptor binding and structural bases of Omicron SARS-CoV-2 to both mouse and palm-civet ACE2s. Cell Discov 2022; 8:65. [PMID: 35821014 PMCID: PMC9274624 DOI: 10.1038/s41421-022-00431-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/06/2022] [Indexed: 01/07/2023] Open
Abstract
The Omicron variant of SARS-CoV-2 carries multiple unusual mutations, particularly in the receptor-binding domain (RBD) of the spike (S) protein. Moreover, host-adapting mutations, such as residues 493, 498, and 501, were also observed in the Omicron RBD, which indicates that it is necessary to evaluate the interspecies transmission risk of the Omicron variant. Herein, we evaluated the interspecies recognition of the Omicron BA.1 and Delta RBDs by 27 ACE2 orthologs, including humans. We found that Omicron BA.1 expanded its receptor binding spectra to palm-civet, rodents, more bats (least horseshoe bat and greater horseshoe bat) and lesser hedgehog tenrec. Additionally, we determined the cryo-electron microscopy (cryo-EM) structure of the Omicron BA.1 S protein complexed with mouse ACE2 (mACE2) and the crystal structure of Omicron RBD complexed with palm-civet ACE2 (cvACE2). Several key residues for the host range have been identified. These results suggest that surveillance should be enhanced on the Omicron variant for its broader-species receptor binding to prevent spillover and expansion of reservoir hosts for a prolonged pandemic.
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Affiliation(s)
- Linjie Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Baihan Huang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yufeng Xie
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, China
| | - Weiwei Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Di Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Faculty of Health Sciences, University of Macau, Macau, Macau SAR, China
| | - Pengcheng Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Faculty of Health Sciences, University of Macau, Macau, Macau SAR, China
| | - Bin Bai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jingya Zhou
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xinrui Kang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaomei Li
- Cryo-EM Center, Shanxi Academy of Advanced Research and Innovation, Taiyuan, Shanxi, China
| | - Anqi Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Rong Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, Guangxi, China
| | - Shitong Qiao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
| | - George Fu Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. .,University of Chinese Academy of Sciences, Beijing, China.
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32
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Li S, Yang R, Zhang D, Han P, Xu Z, Chen Q, Zhao R, Zhao X, Qu X, Zheng A, Wang L, Li L, Hu Y, Zhang R, Su C, Niu S, Zhang Y, Qi J, Liu K, Wang Q, Gao GF. Cross-species recognition and molecular basis of SARS-CoV-2 and SARS-CoV binding to ACE2s of marine animals. Natl Sci Rev 2022; 9:nwac122. [PMID: 36187898 PMCID: PMC9517163 DOI: 10.1093/nsr/nwac122] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 06/04/2022] [Accepted: 06/15/2022] [Indexed: 11/21/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has an extremely broad host range that includes hippopotami, which are phylogenetically closely related to whales. The cellular ACE2 receptor is one of the key determinants of the host range. Here, we found that ACE2s from several marine mammals and hippopotami could efficiently bind to the receptor-binding domain (RBD) of both SARS-CoV and SARS-CoV-2 and facilitate the transduction of SARS-CoV and SARS-CoV-2 pseudoviruses into ACE2-expressing cells. We further resolved the cryo-electron microscopy complex structures of the minke whale ACE2 and sea lion ACE2, respectively, bound to the RBDs, revealing that they have similar binding modes to human ACE2 when it comes to the SARS-CoV-2 RBD and SARS-CoV RBD. Our results indicate that marine mammals could potentially be new victims or virus carriers of SARS-CoV-2, which deserves further careful investigation and study. It will provide an early warning for the prospective monitoring of marine mammals.
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Affiliation(s)
| | | | | | | | - Zepeng Xu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Faculty of Health Sciences, University of Macau, Macau, China
| | - Qian Chen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Institute of Physical Science and Information, Anhui University, Hefei230039, China
| | - Runchu Zhao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Institute of Physical Science and Information, Anhui University, Hefei230039, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing100101, China
| | - Xiao Qu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Anqi Zheng
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Liang Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing100101, China
| | - Linjie Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Savaid Medical School, University of Chinese Academy of Sciences, Beijing100049, China
| | - Yu Hu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,School of Life Sciences, University of Science and Technology of China, Hefei230026, China
| | - Rong Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning530004, China
| | - Chao Su
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Sheng Niu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong030801, China
| | - Yanfang Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China,Savaid Medical School, University of Chinese Academy of Sciences, Beijing100049, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
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Zhu L, Han P, Jiang B, Li N, Fei X. [Differential diagnosis of gallbladder polypoid lesions by micro-flow imaging]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:922-928. [PMID: 35790444 DOI: 10.12122/j.issn.1673-4254.2022.06.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the value of micro-flow imaging (MFI) in evaluating blood flow characteristics and differential diagnosis of gallbladder polypoid lesions. METHODS We retrospectively analyzed the clinical data and ultrasound images of 73 patients with gallbladder polypoid lesions, including 24 patients with pathologically confirmed neoplastic polyps (n=24) and 49 with non-neoplastic polyps (n=49). All the patients underwent conventional ultrasound, MFI and contrast enhanced ultrasound (CEUS) before cholecystectomy. The blood flow characteristics of the lesions in color Doppler flow imaging (CDFI) and MFI were compared, and the consistency of the findings by these two modalities with those of CEUS were evaluated by weighted Kappa consistency test. The diagnostic performance of MFI for gallbladder polypoid lesions was assessed. RESULTS There were significant differences between MFI and CDFI in the evaluation of blood flow characteristics of gallbladder polypoid lesions (χ2=37.684, P < 0.001). MFI showed better performance than CDFI in displaying the blood flow characteristics of the polyps. The consistency in the findings was 0.118 between CDFI and CEUS and 0.816 between MFI and CEUS. The sensitivity, specificity and accuracy of MFI in distinguishing neoplastic polyps from non-neoplastic polyps were 75.00%, 93.88% and 87.67%, respectively. CONCLUSION MFI has a good consistency with CEUS in displaying the blood flow characteristics of gallbladder polypoid lesions and can accurately distinguish neoplastic polyps from non-neoplastic polyps, thus providing new ultrasound diagnostic evidence to support clinical decisions on optimal treatments of gallbladder polypoid lesions.
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Affiliation(s)
- L Zhu
- Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - P Han
- Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - B Jiang
- Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - N Li
- Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - X Fei
- Department of Ultrasound, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Fan H, Liu K, Hong B, He S, Han P, Li M, Wang S, Tong Y. [Progress in the study of antiviral activity of cepharanthine against SARS-CoV-2]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:955-956. [PMID: 35790449 DOI: 10.12122/j.issn.1673-4254.2022.06.22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
As a member of the dibenzyl isoquinoline alkaloid family, cepharathine is an alkaloid from the traditional Chinese medicine cepharathine, which is mainly used for treatment of leukopenia and other diseases. Recent studies of the inhibitory effect of cepharathine against SARS-CoV-2 have attracted widespread attention and aroused heated discussion. As the original discoverer of the anti-SARS-CoV-2 activity of cepharanthine, here we briefly summarize the discovery of cepharanthine and review important progress in relevant studies concerning the discovery and validation of anti-SARS-CoV-2 activity of cepharathine, its antiviral mechanisms and clinical trials of its applications in COVID-19 therapy.
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Affiliation(s)
- H Fan
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - K Liu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - B Hong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - S He
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - P Han
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - M Li
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - S Wang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Y Tong
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China.,Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
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35
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Hu X, Zeng K, Xu Z, Li W, Li C, Kang Z, Li S, Hui AM, Wu Z, Huang X, Han P, Li B, Lin X. A multicenter, open-label, single-arm, phase 1 dose-escalation study to evaluate the safety, tolerability, and anti-tumor activity of FCN-159 in adults with neurofibromatosis type 1. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.3011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3011 Background: Neurofibromatosis type 1 (NF1) is an autosomal-dominant genetic disease that increases susceptibility to malignant tumors. Up to 50% of patients with NF1 present with plexiform neurofibroma (PN). Surgery, a common treatment strategy for patients with PN, has limited efficacy. NF1 is caused by mutations in the gene that encodes neurofibromin; the NF1 mutation then leads to tumorigenesis via dysregulation of the Ras/Raf/MEK/ERK pathway. FCN-159 is anti-tumorigenic via highly potent, selective inhibition of MEK1/2. This study aims to assess the safety of FCN-159 in patients with NF1-related PN. Methods: This is a multicenter, open-label, single-arm, phase 1 dose-escalation and phase 2 dose-expansion study (NCT04954001). Patients with NF1-related PN that was not completely resectable or not suitable for surgery were enrolled in the study; they received FCN-159 monotherapy continuously in 28-day cycles. Here, we report safety and clinical efficacy data from adults enrolled in phase 1. Results: As of the data cutoff of December 1, 2021, 19 adults from 3 hospitals in China have been enrolled in the phase 1 dose-escalation study, 3 in 4 mg, 4 in 6 mg, 8 in 8 mg, and 4 in 12 mg. The most common neurofibroma-related complications were disfigurement and pain, occurring in 10 patients (52.6%) and 4 patients (21.1%) at baseline, respectively. Four patients experienced dose-limiting toxicity; G3 folliculitis was reported in 1 patient (16.7%) receiving the 8-mg dose and 3 (100%) patients receiving the 12-mg dose. The maximum tolerated dose was determined to be 8 mg. Study-drug-related treatment-emergent adverse events (TEAEs) were observed in all 19 patients (100%); the majority were grade 1 or 2 in severity. Nine (47.4%) patients reported grade 3 study drug-related TEAEs; 4 patients experienced paronychia and 5 experienced folliculitis, which were the most common causes of dose reduction (42.1%) and drug interruption (21.2%). One patient experienced a serious adverse event of rhegmatogenous retinal detachment, but this was considered unrelated to the study drug as it was preexisting at baseline. Of the 16 patients with at least 1 post-baseline tumor assessment, all (100%) had reduced tumor size and 6 (37.5%) had a reduction in tumor size of > 20%. Three out of 6 patients with a second tumor assessment result had further tumor shrinkage; tumor volumes in the remaining 3 patients were similar to those at first assessment. The largest reduction in tumor size was 84.2%. Conclusions: Overall, FCN-159 at 8 mg is well tolerated, with easy to manage adverse events, and showed promising anti-neurofibroma activity in phase 1; this warrants further investigation in a phase 2 study on efficacy and safety in this indication. Clinical trial information: NCT04954001.
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Affiliation(s)
- Xiaojie Hu
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Kang Zeng
- NanFang Hospital of Southern Medical University, Guangzhou, China
| | - Zhongyuan Xu
- NanFang Hospital of Southern Medical University, Guangzhou, China
| | - Wenbin Li
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Changxing Li
- NanFang Hospital of Southern Medical University, Guangzhou, China
| | - Zhuang Kang
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Shenglan Li
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | | | - Zhuli Wu
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Xin Huang
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Pu Han
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Ben Li
- Beijing Fosun Pharmaceutical Research and Development Co., Ltd., Shanghai, China
| | - Xiaoxi Lin
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
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Huang M, Wu L, Zheng A, Xie Y, He Q, Rong X, Han P, Du P, Han P, Zhang Z, Zhao R, Jia Y, Li L, Bai B, Hu Z, Hu S, Niu S, Hu Y, Liu H, Liu B, Cui K, Li W, Zhao X, Liu K, Qi J, Wang Q, Gao GF. Atlas of currently-available human neutralizing antibodies against SARS-CoV-2 and escape by Omicron sub-variants BA.1/BA.1.1/BA.2/BA.3. Immunity 2022; 55:1501-1514.e3. [PMID: 35777362 PMCID: PMC9197780 DOI: 10.1016/j.immuni.2022.06.005] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 05/13/2022] [Accepted: 06/05/2022] [Indexed: 11/19/2022]
Affiliation(s)
- Min Huang
- School of Life Science, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230027, China; CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Lili Wu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Anqi Zheng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Yufeng Xie
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Qingwen He
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Department of Pathogen Biology and Microbiology, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Xiaoyu Rong
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Pei Du
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Pengcheng Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210009, China
| | - Zengyuan Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Runchu Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
| | - Yunfei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Linjie Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Bin Bai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ziliang Hu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Institute of Physical Science and Information, Anhui University, Hefei, Anhui 230039, China
| | - Shixiong Hu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Sheng Niu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Yu Hu
- School of Life Science, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230027, China; CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Honghui Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Bo Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, Shanxi 030801, China
| | - Kaige Cui
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Weiwei Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China.
| | - George Fu Gao
- School of Life Science, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230027, China; CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China; Chinese Center for Disease Control and Prevention, Beijing 102206, China.
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Han P, Hou C, Zheng X, Cao L, Shi X, Zhang X, Ye H, Li T, Hu F, Li Z. AB0058 SERUM ANTIGENOME PROFILING REVEALS DIAGNOSTIC MODELS FOR RHEUMATOID ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundRheumatoid arthritis (RA) is a chronic autoimmune disease that leads to joint damage, systemic inflammation and early mortality. Though the precise molecular mechanism in the triggering immune response are not fully understood, the emergence of antibodies against self-antigens can serve as diagnostic biomarker. Multiple antigens have been confirmed. However, the profiling of serum antigen, antigenome, remains poorly known.ObjectivesThe study aimed to investigate the serum antigenomic profiling and determine potential diagnostic biomarkers using label-free proteomic technology implemented with machine-learning algorithm.MethodsWe captured serum antigens from a cohort consisting of 60 RA patients (45 ACPA-positive RA patients and 15 ACPA-negative RA patients), sex- and age-matched 30 osteoarthritis patients and 30 healthy controls. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed. We then trained a machine learning model to classify RA, ACPA-positive RA and ACPA-negative RA based on proteomic data and validated in the cohort.ResultsWe identified 62, 71 and 49 differentially expressed proteins (DEPs) in RA, ACPA-positive RA and ACPA-negative RA respectively, compared to OA and healthy controls. Among these DEPs, the pathway enrichment analysis and protein-protein interactions networks were conducted. Three panels were constructed to classify RA, ACPA-positive RA and ACPA-negative RA using random forest models algorithm based on the molecular signature of DEPs, whose area under curve (AUC) were calculated as 0.9949 (95% CI = 0.9792-1), 0.9913 (95%CI = 0.9653-1) and 1.0 (95% CI = 1-1).ConclusionThis study presented serum antigen profiling of RA. Among them, three panels of antigens were identified to classify RA, ACPA-positive and ACPA-negative RA patients as diagnostic biomarkers.References[1]Smolen JS, Aletaha D, McInnes IB. Rheumatoid arthritis. Lancet (London, England). (2016) 388: 2023-38. doi: 10.1016/S0140-6736(16)30173-8[2]De Rycke L, Peene I, Hoffman IE, Kruithof E, Union A, Meheus L, et al. Rheumatoid factor and anticitrullinated protein antibodies in rheumatoid arthritis: diagnostic value, associations with radiological progression rate, and extra-articular manifestations. Ann Rheum Dis. (2004) 63: 1587-93. doi: 10.1136/ard.2003.017574[3]Kampstra ASB, Dekkers JS, Volkov M, Dorjée AL, Hafkenscheid L, Kempers AC, et al. Different classes of anti-modified protein antibodies are induced on exposure to antigens expressing only one type of modification. Ann Rheum Dis. (2019) 78: 908-16. doi: 10.1136/annrheumdis-2018-214950[4]Liao W, Li Z, Li T, Zhang Q, Zhang H, Wang X. Proteomic analysis of synovial fluid in osteoarthritis using swath‑mass spectrometry. Mol Med Rep. (2018) 17: 2827-36. doi: 10.3892/mmr.2017.8250[5]Peffers MJ, Smagul A, Anderson JR. Proteomic analysis of synovial fluid: current and potential uses to improve clinical outcomes. Expert Rev Proteomic. (2019) 16: 287-302. doi:10.1080/14789450.2019.1578214[6]Swan AL, Mobasheri A, Allaway D, Liddell S, Bacardit J. Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology. Omics: a journal of integrative biology. (2013) 17: 595-610. doi: 10.1089/omi.2013.0017[7]Mahler M, Martinez-Prat L, Sparks JA, Deane KD. Precision medicine in the care of rheumatoid arthritis: focus on prediction and prevention of future clinically-apparent disease. Autoimmun Rev. (2020) 19: 102506. doi: 10.1016/j.autrev.2020.102506[8]Mun S, Lee J, Park A, Kim HJ, Lee YJ, Son H, et al. Proteomics approach for the discovery of rheumatoid arthritis biomarkers using mass spectrometry. Int J Mol Sci. (2019) 20. doi: 10.3390/ijms20184368[9]Li K, Mo W, Wu L, Wu X, Luo C, Xiao X, et al. Novel autoantibodies identified in acpa-negative rheumatoid arthritis. Ann Rheum Dis. (2021). doi: 10.1136/annrheumdis-2020-218460Figure 1.Study overview and antigenome characterizationDisclosure of InterestsNone declared
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Han P, Liang FY, Lin PL, Su YJ, Liu YM, Huang XM. [Transoral robotic nasopharyngectomy for local recurrent nasopharyngeal carcinoma]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:552-558. [PMID: 35610672 DOI: 10.3760/cma.j.cn115330-20210804-00519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the safety, efficacy, locally control and survival results of transoral Da Vinci robotic surgery for salvage treatment of locally recurrent nasopharyngeal carcinoma. Methods: This retrospective study included 33 patients with locally recurrent nasopharyngeal carcinoma (stage rT1-2, partial rT3) underwent transoral Da Vinci robotic surgery between October 2017 and January 2020. There were 20 males and 11 females, with an average age of (47.9±10.5) years. The lesions were localized in nasopharyngeal cavity in 14 cases, with extending to parapharyngeal space in 6 cases and the floor of sphenoid sinus in 13 cases. Transnasal endoscopy was used to assist surgery if necessary. SPSS 25.0 statistical software was used for statistical analysis. Results: Transoral robotic nasopharyngectomy was successfully performed in all cases without conversion to open surgery, of which 13 cases were combined with transnasal endoscopic surgery. The average operation time was (126.2±30.0) min, ranging from 90 to 180 min. The postoperative pathological margin was R0 (31 cases) and R1 (2 cases), with no tumor residue. Complications of surgery mainly included symptoms of headache, nasal dryness and velopharyngeal insufficiency without nasopharyngeal hemorrhage. Follow-up time was from 3 to 54 months. One case had tumor recurrence 11 months after operation, 1 case had ipsilateral cervical lymph node metastasis 27 months after operation, 2 cases had distant metastasis and 1 case died of nasopharyngeal hemorrhage 3 months after operation. The 1-year, 2-year and 3-year overall survival rates were 97.0%, 96.0% and 92.9%, respectively and the local recurrence free rates were 97.0%, 95.7% and 91.7%, respectively. Conclusion: Transoral robotic nasopharyngectomy is safe and feasible for local recurrent nasopharyngeal carcinoma in selected patients, with higher local control rate and quality of life.
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Affiliation(s)
- P Han
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - F Y Liang
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - P L Lin
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - Y J Su
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
| | - Y M Liu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China Department of Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China
| | - X M Huang
- Department of Otolaryngology-Head and Neck Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510280, China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangzhou 510280, China
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Li T, Cui Z, Jia Y, Liang Z, Nie J, Zhang L, Wang M, Li Q, Wu J, Xu N, Liu S, Li X, An Y, Han P, Zhang M, Li Y, Qu X, Wang Q, Huang W, Wang Y. Cover Image, Volume 94, Number 5, May 2022. J Med Virol 2022. [DOI: 10.1002/jmv.27681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Tao Li
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Zhimin Cui
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
- Key Laboratory of Research on Quality and Standardization of Biotech Products National Health Commission Beijing China
| | - Yunfei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of Microbiology, Chinese Academy of Sciences Beijing China
- Department of Veterinary College of Veterinary Medicine, Shanxi Agricultural University Jinzhong China
| | - Ziteng Liang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Jianhui Nie
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Li Zhang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Meng Wang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Qianqian Li
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Jiajing Wu
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Nan Xu
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Shuo Liu
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Xueli Li
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Yimeng An
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of Microbiology, Chinese Academy of Sciences Beijing China
| | - Mengyi Zhang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Yuhua Li
- Department of Arboviral Vaccine, Institute for Biological Product Control National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Xiaowang Qu
- Laboratory of Virology and Immunology, Translational Medicine Institute the First People's Hospital of Chenzhou, University of South China Chenzhou China
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of Microbiology, Chinese Academy of Sciences Beijing China
- Savaid Medical School University of Chinese Academy of Sciences Beijing China
| | - Weijin Huang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Youchun Wang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
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Li T, Cui Z, Jia Y, Liang Z, Nie J, Zhang L, Wang M, Li Q, Wu J, Xu N, Liu S, Li X, An Y, Han P, Zhang M, Li Y, Qu X, Wang Q, Huang W, Wang Y. Cover Image, Volume 94, Number 5, May 2022. J Med Virol 2022. [DOI: 10.1002/jmv.27865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Tao Li
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Zhimin Cui
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
- Key Laboratory of Research on Quality and Standardization of Biotech Products National Health Commission Beijing China
| | - Yunfei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of Microbiology, Chinese Academy of Sciences Beijing China
- Department of Veterinary College of Veterinary Medicine, Shanxi Agricultural University Jinzhong China
| | - Ziteng Liang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Jianhui Nie
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Li Zhang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Meng Wang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Qianqian Li
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Jiajing Wu
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Nan Xu
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Shuo Liu
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Xueli Li
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Yimeng An
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of Microbiology, Chinese Academy of Sciences Beijing China
| | - Mengyi Zhang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Yuhua Li
- Department of Arboviral Vaccine, Institute for Biological Product Control National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Xiaowang Qu
- Laboratory of Virology and Immunology, Translational Medicine Institute the First People's Hospital of Chenzhou, University of South China Chenzhou China
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of Microbiology, Chinese Academy of Sciences Beijing China
- Savaid Medical School University of Chinese Academy of Sciences Beijing China
| | - Weijin Huang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
| | - Youchun Wang
- Division of HIV/AIDS and Sex‐Transmitted Virus Vaccines Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) Beijing China
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Han P, Li L, Liu S, Wang Q, Zhang D, Xu Z, Han P, Li X, Peng Q, Su C, Huang B, Li D, Zhang R, Tian M, Fu L, Gao Y, Zhao X, Liu K, Qi J, Gao GF, Wang P. Receptor binding and complex structures of human ACE2 to spike RBD from omicron and delta SARS-CoV-2. Cell 2022; 185:630-640.e10. [PMID: 35093192 PMCID: PMC8733278 DOI: 10.1016/j.cell.2022.01.001] [Citation(s) in RCA: 283] [Impact Index Per Article: 141.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 12/26/2021] [Accepted: 12/31/2021] [Indexed: 12/14/2022]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic continues worldwide with many variants arising, some of which are variants of concern (VOCs). A recent VOC, omicron (B.1.1.529), which obtains a large number of mutations in the receptor-binding domain (RBD) of the spike protein, has risen to intense scientific and public attention. Here, we studied the binding properties between the human receptor ACE2 (hACE2) and the VOC RBDs and resolved the crystal and cryoelectron microscopy structures of the omicron RBD-hACE2 complex as well as the crystal structure of the delta RBD-hACE2 complex. We found that, unlike alpha, beta, and gamma, omicron RBD binds to hACE2 at a similar affinity to that of the prototype RBD, which might be due to compensation of multiple mutations for both immune escape and transmissibility. The complex structures of omicron RBD-hACE2 and delta RBD-hACE2 reveal the structural basis of how RBD-specific mutations bind to hACE2.
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Affiliation(s)
- Pengcheng Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; School of Medicine, Zhongda Hospital, Southeast University, NanJing 210009, China
| | - Linjie Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Sheng Liu
- Cryo-EM Center, Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Qisheng Wang
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, China
| | - Di Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Faculty of Health Sciences, University of Macau, Macau 999078, China
| | - Zepeng Xu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Faculty of Health Sciences, University of Macau, Macau 999078, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaomei Li
- Cryo-EM Center, Shanxi Academy of Advanced Research and Innovation, Taiyuan 030032, China
| | - Qi Peng
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Chao Su
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong 999077, China
| | - Baihan Huang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Dedong Li
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Rong Zhang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Mingxiong Tian
- College of life Science, Shanxi University, Taiyuan 03006, China
| | - Lutang Fu
- Cryo-EM Center, Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yuanzhu Gao
- Cryo-EM Center, Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xin Zhao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - George F Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Peiyi Wang
- Cryo-EM Center, Department of Biology, Southern University of Science and Technology, Shenzhen 518055, China.
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Li T, Cui Z, Jia Y, Liang Z, Nie J, Zhang L, Wang M, Li Q, Wu J, Xu N, Liu S, Li X, An Y, Han P, Zhang M, Li Y, Qu X, Wang Q, Huang W, Wang Y. Aggregation of high-frequency RBD mutations of SARS-CoV-2 with three VOCs did not cause significant antigenic drift. J Med Virol 2022; 94:2108-2125. [PMID: 35032057 PMCID: PMC9015629 DOI: 10.1002/jmv.27596] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/08/2022] [Accepted: 01/12/2022] [Indexed: 11/19/2022]
Abstract
Variants of SARS‐CoV‐2 continue to emerge, posing great challenges in outbreak prevention and control. It is important to understand in advance the impact of possible variants of concern (VOCs) on infectivity and antigenicity. Here, we constructed one or more of the 15 high‐frequency naturally occurring amino acid changes in the receptor‐binding domain (RBD) of Alpha, Beta, and Gamma variants. A single mutant of A520S, V367F, and S494P in the above three VOCs enhanced infectivity in ACE2‐overexpressing 293T cells of different species, LLC‐MK2 and Vero cells. Aggregation of multiple RBD mutations significantly reduces the infectivity of the possible three VOCs. Regarding neutralization, it is noteworthy that E484K, N501Y, K417N, and N439K predispose to monoclonal antibodies (mAbs) protection failure in the 15 high‐frequency mutations. Most importantly, almost all possible VOCs (single RBD mutation or aggregation of multiple mutations) showed no more than a fourfold decrease in neutralizing activity with convalescent sera, vaccine sera, and immune sera of guinea pigs with different immunogens, and no significant antigenic drift was formed. In conclusion, our pseudovirus results could reduce the concern that the aggregation of multiple high‐frequency mutations in the RBD of the spike protein of the three VOCs would lead to severe antigenic drift, and this would provide value for vaccine development strategies. Infectivity increased by adding three VOCs of V367F, S494P, or A520S. The infectivity of the three VOCs with multiple high‐frequency mutations decreased. Almost all of the possible variants of the three VOCs did not show severe antigenic drift.
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Affiliation(s)
- Tao Li
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Zhimin Cui
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China.,National Vaccine & Serum Institute, Beijing, China
| | - Yunfei Jia
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Ziteng Liang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Jianhui Nie
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Li Zhang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Meng Wang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Qianqian Li
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Jiajing Wu
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Nan Xu
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Shuo Liu
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Xueli Li
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Yimeng An
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Mengyi Zhang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Yuhua Li
- Department of Arboviral Vaccine, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), Beijing, China
| | - Xiaowang Qu
- Translational Medicine Institute, The First People's Hospital of Chenzhou, University of South China, Chenzhou, China
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Weijin Huang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
| | - Youchun Wang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC), No. 31 Huatuo Street, Daxing District, Beijing, China
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Zheng A, Wu L, Ma R, Han P, Huang B, Qiao C, Wang Q, Tan W, Gao GF, Han P. A binding-enhanced but enzymatic activity-eliminated human ACE2 efficiently neutralizes SARS-CoV-2 variants. Signal Transduct Target Ther 2022; 7:10. [PMID: 35013100 PMCID: PMC8748180 DOI: 10.1038/s41392-021-00821-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/28/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022] Open
Affiliation(s)
- Anqi Zheng
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.,University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Lili Wu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Renyi Ma
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Pu Han
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Baoying Huang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 102206, China
| | - Chengpeng Qiao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Qihui Wang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Wenjie Tan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 102206, China.
| | - George F Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Pengcheng Han
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China. .,School of Medicine, Zhongda Hospital, Southeast University, NanJing, 210009, China.
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Song P, Zhao Y, Chen X, Zhang H, Han P, Xie F, Guo Q. Association between Sleep Duration and Mild Cognitive Impairment at Different Levels of Metabolic Disease in Community-Dwelling Older Chinese Adults. J Nutr Health Aging 2022; 26:139-146. [PMID: 35166305 DOI: 10.1007/s12603-022-1734-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVES The purpose of this study was to investigate the relationship between metabolic syndrome (MetS), sleep duration and mild cognitive impairment (MCI) in community-dwelling older Chinese adults. METHODS The study comprised of 1367 community-dwelling Chinese participants (563 men; mean age: 71.0 years) recruited from Tianjin and Shanghai, China who were invited to participate in a comprehensive geriatric assessment. The International Diabetes Federation metabolic syndrome guidelines were used to define MetS. The Mini-Mental State Examination (MMSE) and the Instrumental Activities of Daily Living (IADL) scale were used for the initial classification of patients with MCI. We divided sleep duration into five groups (≤6 h, 6-8 h which was used as the reference, 8-9 h, 9-10 h, and >10 h). Nutritional status was assessed by Mini Nutrition Assessment Short Form. RESULTS The overall incidence of metabolic syndrome was 46.7%, the overall incidence of mild cognitive impairment was 17.4%. In logistic regression analysis model, after adjusting for multiple confounding factors such as nutritional status and physical activity level, there was a significant positive association between long sleep duration (> 10h) and mild cognitive impairment in general population and metabolic syndrome population (p<0.05), but the association was not significant in non-metabolic syndrome group. In addition, in the long sleep duration group, the components of metabolic syndrome, elevated blood glucose were significantly associated with mild cognitive impairment (p<0.05). CONCLUSIONS Long sleep duration was significantly associated with increased risk of MCI in older adults with MetS, but not in those without MetS. The prevention of MCI may be more effective in the population of MetS with long sleep duration.
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Affiliation(s)
- P Song
- Qi Guo, Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 1500 Zhouyuan Road, Pudong New District, Shanghai, 201318, China, Phone: 86-22-8333-6977, FAX: 86-22-8333-6977, E-mail: ; Fandi Xie, M.D. Jiangwan hospital, Hongkou District, Shanghai, 1878 Sichuan North Road, Hongkou District, Shanghai, 200080, China, Phone: 65422593-2002, E-mail:
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45
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Chen X, Han P, Song P, Zhao Y, Zhang H, Niu J, Yu C, Ding W, Zhao J, Zhang L, Qi H, Shao X, Su H, Guo Q. Mediating Effects of Malnutrition on the Relationship between Depressive Symptoms Clusters and Muscle Function Rather than Muscle Mass in Older Hemodialysis Patients. J Nutr Health Aging 2022; 26:461-468. [PMID: 35587758 DOI: 10.1007/s12603-022-1778-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate the association and mediation pathways among muscle mass, muscle function (muscle strength and physical performance), and malnutrition with depressive symptoms clusters in the older hemodialysis patients. DESIGN A multi-center cross-sectional study. SETTING AND PARTICIPANTS A total of 499 patients aged ≥ 60 on hemodialysis from seven facilities in Shanghai of China from 2020 to 2021. MEASUREMENTS Muscle mass was assessed by skeletal muscle index(SMI). Muscle strength was measured by handgrip strength, and physical performance was measured via gait speed and Timed Up and Go Test (TUGT). Nutritional status was assessed by Malnutrition Inflammation Score (MIS). Depressive symptoms were evaluated by the Patient Health Questionnaire-9 (PHQ-9). Logistic regression and mediation analyses fully adjusted for all potential confounding factors. RESULTS Among 499 participants (312 men, mean age 69.2±6.6 years), 108 (21.6%) had depressive symptoms. The muscle strength, physical performance and malnutrition were associated with depressive symptoms. Furthermore, malnutrition significantly mediated the association of muscle function with total, cognitive-affective symptoms. The association of the muscle function with somatic symptoms were mediated by the nutritional status. The mediated proportions of malnutrition in the relationship between physical performance and depressive symptoms clusters were stronger in somatic symptoms than in cognitive-affective symptoms. CONCLUSIONS Our findings suggest that muscle function rather than muscle mass may contribute substantially to the development of depressive symptoms clusters in the hemodialysis via malnutrition. The malnutrition mediated stronger in the association of muscle function with somatic symptoms. These findings may help guide clinicians to better diagnose and manage depression in the context of concomitant muscle function and malnutrition.
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Affiliation(s)
- X Chen
- Qi Guo, M.D., Ph.D. Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, 1500 Zhouyuan Road, Pudong New District, Shanghai, 201318, China, Phone: 86-22-8333-6977, Fax: 86-22-8333-6977, E-mail:
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Wang JX, Han P, Gao MD, Xiao JY, Li XW, Zhang N, Ma J, Cui Z, Yao TT, Chen Y, Gao J, Liu Y. Prognostic value of PCSK9 Levels in Non-ST elevation myocardial infarction patients undergoing percutaneous coronary intervention. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The role of proprotein convertase subtilisin/kexin type 9 (PCSK9) in predicting major adverse cardiovascular events (MACEs) in Non-ST elevation myocardial infarction (NSTEMI) patients is still an open question and the PCSK9 concentration of clinical usefulness remains unknown in guiding treatment.
Purpose
To explore the role of PCSK9 in predicting major adverse cardiovascular events (MACEs) in Non-ST elevation myocardial infarction patients.
Methods
272 patients with NSTEMI were included in our study, all patients received PCI therapy after admission. Patients were followed up for 1 year and MACEs were recored. Their baseline plasma PCSK9 levels were determined by ELISA. Patients were divided into high, medium and low PCSK9 groups and the associations of PCSK9 with other biomarkers and MACEs were evaluated.
Results
The results showed that PCSK9 levels was related to levels of lipoproteins, high-sensitivity C-reactive protein (r=0.162, P=0.008), platelet volume distribution width (r=0.299, P<0.001) and D-dimer (r=0.285, P<0.001). And the concentrations of PCSK9 was greater higher in people with MACEs (137.2ng/ml vs 243.6ng/ml) (Fig. 1A). The Kaplan-Meier curves showed patients with high PCSK9 level had lower event-free survival rate (Fig. 1B). Survival analysis indicated high level of PCSK9 predicted MACEs independently after adjusted for traditional cardiovascular risk factors and GRACE score (HR=2.646, 95CI%: 1.047–6.686, P=0.027) (Fig. 1C, Fig. 2). Subgroup analysis demonstrated the prognostic value of high PCSK9 level was greater for patients classified by the GRACE score as high risk (Fig. 1D).
Conclusions
In a NSTEMI setting, the concentration of PCSK9 is associated with hypercoagulability and hyper-inflammation. High levels of PCSK9 independently predict future MACEs in NSTEMI patients, particularly those classified by the GRACE score as high risk.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- J.-X Wang
- Tianjin Medical University, Tianjin, China
| | - P Han
- Tianjin Medical University, Tianjin, China
| | - M.-D Gao
- Tianjin Chest Hospital, Tianjin, China
| | - J.-Y Xiao
- Tianjin Chest Hospital, Tianjin, China
| | - X.-W Li
- Tianjin Chest Hospital, Tianjin, China
| | - N Zhang
- Tianjin Chest Hospital, Tianjin, China
| | - J Ma
- Tianjin Chest Hospital, Tianjin, China
| | - Z Cui
- Tianjin Medical University, Tianjin, China
| | - T.-T Yao
- Tianjin Medical University, Tianjin, China
| | - Y Chen
- Tianjin Medical University, Tianjin, China
| | - J Gao
- Tianjin Chest Hospital, Tianjin, China
| | - Y Liu
- Tianjin Chest Hospital, Tianjin, China
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Ma J, Zhang N, Xiao JY, Wang JX, Li XW, Wang J, Zhang Y, Zheng QX, Zhao SY, Han P, Yang YN, Gao MD, Zhang X, Liu Y, Gao J. Public awareness of acute myocardial infarction symptoms and emergency response in community residents. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Patient delay in seeking help has been reported to be a major factor that related to delay in care of acute myocardial infarction (AMI). Lack the knowledge of symptoms may translate to behavioral deficiencies which lead up to failing to seek medical assistant at early stage of AMI.
Purpose
The aim of present study is to investigate the awareness of AMI symptoms and the emergency responses among community residents over 35 years old.
Methods
The sample was proportionally distributed by age according to the national census data. The sex ratio was 1:1. The sample size is calculated according to the significance level of 0.05, the allowable error of 0.1, and the estimated Excellent awareness level of 10%. The final sample size is adjusted to 4200, considering non-response rate of 20%. Multi-stage stratified random sampling was used. On the first stage, two districts each in urban and rural regions were randomly selected. On the second stage, 3–10 community health service centers were randomly selected in each district. On the third stage, residents over 35 managed by the community health service center were proportionally sampled to be interviewed. A structured questionnaire was used and the survey was conducted in a face-to-face interview by clinical physicians. Logistic regression was applied to analyze factors related to Good knowledge.
Results
The top three symptom recognized by public is “pain or discomfort in the chest” (71.3%), followed by “difficulty breathing” (65.1%) and “pain or discomfort in the jaw, neck, or back” (60.9%). 85.0% chose to call an ambulance as first response when witness others having an AMI. Those who lives alone (OR=1.408; 95% CI, 1.005–1.972) and whose immediate family had been diagnosed with AMI (OR=1.510; 95% CI, 1.040–2.192) has better knowledge. A significant positive correlation was observed for those with hypertension (OR=1.199; 95% CI, 1.007–1.429), while a negative correlation was observed for those with diabetes (OR=0.788; 95% CI, 0.626–0.992). Public education could improve Good knowledge (OR=1.662; 95% CI, 1.388–1.990), while doctoral advise has been shown negative impact (OR=0.824; 95% CI, 0.691–0.984).
Conclusions
Our data provide first population-based estimates of public awareness in our country. Further promotional strategies to increase overall awareness in general public are seriously needed.
Funding Acknowledgement
Type of funding sources: Foundation. Main funding source(s): Major Science and Technology Projects of Tianjin Science and Technology Commission Multivariable logistic regression
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Affiliation(s)
- J Ma
- Tianjin Chest Hospital, Tianjin, China
| | - N Zhang
- Tianjin Chest Hospital, Tianjin, China
| | - J.-Y Xiao
- Tianjin Chest Hospital, Tianjin, China
| | - J.-X Wang
- Tianjin Chest Hospital, Tianjin, China
| | - X.-W Li
- Tianjin Chest Hospital, Tianjin, China
| | - J Wang
- Tianjin Chest Hospital, Tianjin, China
| | - Y Zhang
- Tianjin Chest Hospital, Tianjin, China
| | | | - S.-Y Zhao
- Tianjin Chest Hospital, Tianjin, China
| | - P Han
- Tianjin Medical University, Tianjin, China
| | - Y.-N Yang
- Tianjin Medical University, Tianjin, China
| | - M.-D Gao
- Tianjin Chest Hospital, Tianjin, China
| | - X Zhang
- Tianjin Chest Hospital, Tianjin, China
| | - Y Liu
- Tianjin Chest Hospital, Tianjin, China
| | - J Gao
- Tianjin Chest Hospital, Tianjin, China
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Gao X, Yu X, Zhu K, Qin B, Wang W, Han P, Aleksandra Wojdyla J, Wang M, Cui S. Crystal Structure of Mycobacterium tuberculosis Elongation Factor G1. Front Mol Biosci 2021; 8:667638. [PMID: 34540889 PMCID: PMC8446442 DOI: 10.3389/fmolb.2021.667638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 08/19/2021] [Indexed: 11/24/2022] Open
Abstract
Mycobacterium tuberculosis (Mtb) caused an estimated 10 million cases of tuberculosis and 1.2 million deaths in 2019 globally. The increasing emergence of multidrug-resistant and extensively drug-resistant Mtb is becoming a public health threat worldwide and makes the identification of anti-Mtb drug targets urgent. Elongation factor G (EF-G) is involved in tRNA translocation on ribosomes during protein translation. Therefore, EF-G is a major focus of structural analysis and a valuable drug target of antibiotics. However, the crystal structure of Mtb EF-G1 is not yet available, and this has limited the design of inhibitors. Here, we report the crystal structure of Mtb EF-G1 in complex with GDP. The unique crystal form of the Mtb EF-G1-GDP complex provides an excellent platform for fragment-based screening using a crystallographic approach. Our findings provide a structure-based explanation for GDP recognition, and facilitate the identification of EF-G1 inhibitors with potential interest in the context of drug discovery.
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Affiliation(s)
- Xiaopan Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xia Yu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory for Drug-resistant Tuberculosis Research Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Institute, Capital Medical University, Beijing, China
| | - Kaixiang Zhu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Qin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Wang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Pu Han
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | | | - Meitian Wang
- Swiss Light Source at the Paul Scherrer Institut, Villigen, Switzerland
| | - Sheng Cui
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, And Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Sanming Project of Medicine in Shenzhen on Construction of Novel Systematic Network Against Tuberculosis, National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China
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Parks CA, Han P, Fricke HE, Parker HA, Hesterman OB, Yaroch AL. Reducing food insecurity and improving fruit and vegetable intake through a nutrition incentive program in Michigan, USA. SSM Popul Health 2021; 15:100898. [PMID: 34458551 PMCID: PMC8379520 DOI: 10.1016/j.ssmph.2021.100898] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/12/2021] [Accepted: 08/15/2021] [Indexed: 12/04/2022] Open
Abstract
Background Nutrition incentive (NI) programs increase the purchase of fruits and vegetables (FVs) among low-income participants. Double Up Food Bucks (DUFB) is a robust statewide NI program in the United States. The purpose of this paper is to report findings from DUFB in Michigan describing the factors related to FV intake (FVI) and food insecurity among participants in a NI program. Methods We administered a repeated cross-sectional survey with a convenience sample of DUFB participants at farmers markets and grocery stores (over the 2016, 2017, 2018 seasons). The survey was conducted online via paper-pencil. Descriptive statistics were calculated for all variables. A logistic regression model estimated household food insecurity and a linear regression estimated FVI with DUFB use/perceptions, sociodemographics, and health status as independent variables (significance level = p < 0.05). Results Descriptive results revealed that participants that completed surveys at grocery stores tended to be more racially-ethnically diverse and younger than participants that completed surveys at farmers markets. Participants with lower length of time participating in DUFB (i.e., lower dose) (p < 0.001), greater FV purchases (p < 0.05), and lower perceived health status (p < 0.001) tended to report being food insecure more frequently. Participants with increased length of time participating in DUFB (p < 0.05), greater FV purchases (p < 0.001), being male (p < 0.01), and greater perceived health status (p < 0.001) tended to report higher levels of FVI more frequently. Conclusions Longer participation in DUFB leads to improved outcomes with FVI and food security, suggesting that NI programs do have the intended positive impact they were designed to achieve. Low income populations carry a larger burden of obesity, food insecurity, and chronic disease. Nutrition incentive programs were developed to address affordability barriers to healthy eating among SNAP participants. Participants at grocery stores tended to be more racially-ethnically diverse and younger than participants at farmers markets. Participants with longer time in the program reported greater FVI and higher levels of food security.
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Key Words
- DSQ, Dietary Screener Questionnaire
- DUFB, Double Up Food Bucks
- FINI, Food Insecurity Nutrition Incentive
- FVI, Fruit and vegetable intake
- FVs, Fruit and vegetables
- Farmers markets
- Food insecurity
- Fruit and vegetable consumption
- Grocery stores
- GusNIP, Gus Schumacher Nutrition Incentive Program
- NI, Nutrition incentive
- NIFA, National Institute of Food and Agriculture
- Nutrition incentives
- SNAP, Supplemental Nutrition Assistance Program
- U.S., United States
- USDA, United States Department of Agriculture
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Affiliation(s)
- C A Parks
- Gretchen Swanson Center for Nutrition, 8401 West Dodge Road, Suite 100, Omaha, NE, 68114, USA
| | - P Han
- University of Michigan, Department of Biostatistics, M4531, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - H E Fricke
- Gretchen Swanson Center for Nutrition, 8401 West Dodge Road, Suite 100, Omaha, NE, 68114, USA
| | - H A Parker
- Fair Food Network, 1250 North Main Street, North Suite, Ann Arbor, MI, 48104, USA
| | - O B Hesterman
- Fair Food Network, 1250 North Main Street, North Suite, Ann Arbor, MI, 48104, USA
| | - A L Yaroch
- Gretchen Swanson Center for Nutrition, 8401 West Dodge Road, Suite 100, Omaha, NE, 68114, USA
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50
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Wei J, Feng G, Lu Z, Han P, Zhu Y, Huang W. Evaluating Drug Risk Using GAN and SMOTE Based on CFDA's Spontaneous Reporting Data. J Healthc Eng 2021; 2021:6033860. [PMID: 34493954 PMCID: PMC8418931 DOI: 10.1155/2021/6033860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/19/2021] [Indexed: 11/17/2022]
Abstract
Adverse drug reactions (ADRs) pose health threats to humans. Therefore, the risk re-evaluation of post-marketing drugs has become an important part of the pharmacovigilance work of various countries. In China, drugs are mainly divided into three categories, from high-risk to low-risk drugs, namely, prescription drugs (Rx), over-the-counter drugs A (OTC-A), and over-the-counter drugs B (OTC-B). Until now, there has been a lack of automated evaluation methods for the three status switch of drugs. Based on China Food and Drug Administration's (CFDA) spontaneous reporting database (CSRD), we proposed a classification model to predict risk level of drugs by using feature enhancement based on Generative Adversarial Networks (GAN) and Synthetic Minority Over-Sampling Technique (SMOTE). A total of 985,960 spontaneous reports from 2011 to 2018 were selected from CSRD in Jiangsu Province as experimental data. After data preprocessing, a class-imbalance data set was obtained, which contained 887 Rx (accounting for 84.72%), 113 OTC-A (10.79%), and 47 OTC-B (4.49%). Taking drugs as the samples, ADRs as the features, and signal detection results obtained by proportional reporting ratio (PRR) method as the feature values, we constructed the original data matrix, where the last column represents the category label of each drug. Our proposed model expands the ADR data from both the sample space and the feature space. In terms of feature space, we use feature selection (FS) to screen ADR symptoms with higher importance scores. Then, we use GAN to generate artificial data, which are added to the feature space to achieve feature enhancement. In terms of sample space, we use SMOTE technology to expand the minority samples to balance three categories of drugs and minimize the classification deviation caused by the gap in the sample size. Finally, we use random forest (RF) algorithm to classify the feature-enhanced and balanced data set. The experimental results show that the accuracy of the proposed classification model reaches 98%. Our proposed model can well evaluate drug risk levels and provide automated methods for status switch of post-marketing drugs.
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Affiliation(s)
- Jianxiang Wei
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
- Key Research Base of Philosophy and Social Sciences in Jiangsu-Information Industry Integration Innovation and Emergency Management Research Center, Nanjing 210003, China
| | - Guanzhong Feng
- School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
| | - Zhiqiang Lu
- School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
| | - Pu Han
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
| | - Yunxia Zhu
- School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
| | - Weidong Huang
- School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
- Key Research Base of Philosophy and Social Sciences in Jiangsu-Information Industry Integration Innovation and Emergency Management Research Center, Nanjing 210003, China
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