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Shi H, Sun J, Zeng Y, Wang X, Liu S, Zhang L, Shao E. Immune escape of SARS-CoV-2 variants to therapeutic monoclonal antibodies: a system review and meta-analysis. Virol J 2023; 20:266. [PMID: 37968649 PMCID: PMC10652597 DOI: 10.1186/s12985-023-01977-5] [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: 08/05/2022] [Accepted: 01/25/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Omicron's high transmissibility and variability present new difficulties for COVID-19 vaccination prevention and therapy. In this article, we analyzed the sensitivity of vaccine-induced antibodies as well as the effect of booster vaccinations against Omicron sublineages. METHODS We looked for Randomized Controlled Trials and cohort studies that reported the COVID-19 vaccines against Omicron sublineages up to 28 July 2022 through PubMed, the Cochrane Library, EMBASE, and Web of Science. Quantitative synthesis was carried out using Stata 16.0 and RevMa5.3, then the serum NT50 and antibody sensitivity to neutralize Omicron sublineages were assessed before and after booster vaccination. This study was registered with PROSPERO number CRD42022350477. RESULTS This meta-analysis included 2138 patients from 20 studies, and the booster vaccination against Omicron sublineages showed a significant difference compared to 2 dosage: BA.1/BA.1.1 (SMD = 0.80, 95% CI: 0.75-0.85, P = 0.00), BA.2/BA.2.12.1 (SMD = 0.77, 95% CI: 0.69-0.85, P = 0.00), BA.3 (SMD = 0.91, 95% CI: 0.83-1.0, P = 0.00), and BA.4/5 (SMD = 0.77, 95% CI: 0.60-0.94, P = 0.00). The sensitivity of vaccines-induced antibodies decreased by at least 5-folds after booster vaccination, particularly in the case of BA.4/5 which had the most notable decline in vaccine effectiveness. CONCLUSION After the booster vaccination, the NT50 and the neutralization ability of vaccine-induced antibodies increased, but the susceptibility of antibodies decreased compared with the control virus, which may be a clue for future Omicron sublineages prevention.
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Affiliation(s)
- Huichun Shi
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Jiajia Sun
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450099, China
| | - Yigang Zeng
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Xiaomeng Wang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Shanshan Liu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Lijun Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
| | - Enming Shao
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China.
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Zhang T, Ru YF, Wu B, Dong H, Chen L, Zheng J, Li J, Wang X, Wang Z, Wang X, Shen X, Wu J, Qian J, Miao M, Gu Y, Shi H. Effects of low lead exposure on sperm quality and sperm DNA methylation in adult men. Cell Biosci 2021; 11:150. [PMID: 34344450 PMCID: PMC8335892 DOI: 10.1186/s13578-021-00665-7] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 07/20/2021] [Indexed: 11/26/2022] Open
Abstract
INSTRUCTION Lead (Pb) exposure is a risk factor for male infertility, but the epigenetic changes in sperm DNAattributable to lead exposure is poorly defined. METHODS In this study, we investigated whether low Pb exposure (< 10 µg/dL) affects the sperm quality. Blood, urine, and semen samples of 297 men of childbearing age were analyzed for all relevant parameters. Based on the blood Pb level (BLL), participants were allocated to RL (0-2.5 µg/dL), RM (2.5-5 µg/dL), and RH (5-10 µg/dL) groups. The 5-methylcytosine and 5-hydroxymethylcytosine patterns in the sperm DNA were identified using methylated DNA immunoprecipitation and hydroxymethylated DNA immunoprecipitation sequencing. RESULTS The non-progressive motility (NP) was significantly increased and associated with global hypomethylation of sperm DNA in the RH group compared with the RL group, indicating that aberrant sperm methylation due to low Pb exposure is possibly associated with reduced sperm motility. The hypomethylated promoter regions were primarily enriched in the calcium (Ca) homeostasis pathway. Further, the interaction between Ca and Pb was associated with sperm rapid progressive motility and asthenospermia risk, although no significant methylation abnormality was observed in those with BLL < 5 µg/dL. When BLL was > 5 µg/dL or when predicting NP, no significant Pb-Ca interaction was observed. DISCUSSION Overall, our results indicate that aberrant DNA methylation of the Ca homeostasis pathway, induced by low Pb exposure, is the potential cause for reduced sperm velocity.
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Affiliation(s)
- Tiancheng Zhang
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Yan Fei Ru
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, 310024, Zhejiang, China
| | - Bin Wu
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Haiyan Dong
- Shanghai Kelin Institute of clinical bioinformatics, Shanghai, China
| | - Liang Chen
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Jufen Zheng
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Jianhui Li
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Xin Wang
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Zhikai Wang
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Xuemei Wang
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Xiaorong Shen
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Jun Wu
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
| | - Jun Qian
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China.
| | - Maohua Miao
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China.
| | - Yihua Gu
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China.
| | - Huijuan Shi
- NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai, China
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