1
|
Huguet M, Boigues M, Sorigué M, Blanco J, Quirant B, Ferrà C. Efficacy and safety of mRNA1273 SARS-CoV-2 vaccination in hematopoietic stem cell transplant recipients: Single center experience. Med Clin (Barc) 2024; 162:313-320. [PMID: 38000941 DOI: 10.1016/j.medcli.2023.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 10/17/2023] [Accepted: 10/21/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND COVID-19 represents a worldwide pandemic and vaccination remains the most effective preventive strategy. Among hematological patients, COVID-19 has been associated with a high mortality rate. Vaccination against SARS-CoV-2 has shown high efficacy in reducing community transmission, hospitalization and deaths related to severe COVID-19 disease. However, patients with impaired immunity may have lower sero-responsiveness to vaccination. METHODS This study focuses on hematopoietic stem cell transplantation (HSCT) recipients. We performed a unicenter, prospective, observational study of a cohort of 31 allogeneic and 56 autologous-HSCT recipients monitored between March 2021 and May 2021 for serological response after COVID-19 vaccination with two doses of mRNA1273 vaccine (Moderna). In order to determine seroconversion, serological status before vaccination was studied. RESULTS At a median range of 75 days after the second vaccine dose, seroconversion rates were 84% and 85% for the autologous and allogeneic-HSCT groups, respectively. We confirmed some potential risk factors for a negative serological response, such as receiving anti-CD20 therapy in the previous year before vaccination, a low B-lymphocyte count and hypogammaglobulinemia. Neutralizing antibodies were quantified in 44 patients, with a good correlation with serological tests. Adverse events were minimal. CONCLUSION mRNA1273 vaccination is safe and effective in HSCT recipients, especially in those presenting recovered immunity.
Collapse
Affiliation(s)
- Maria Huguet
- Hematology Department, ICO Badalona - Hospital Germans Trias i Pujol, Badalona, Spain.
| | - Marc Boigues
- Immunology Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Marc Sorigué
- Hematology Department, ICO Badalona - Hospital Germans Trias i Pujol, Badalona, Spain
| | - Julià Blanco
- IrsiCaixa AIDS Research Institute, Germans Trias i Pujol Research Institute, Badalona, Spain
| | - Bibiana Quirant
- Immunology Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Christelle Ferrà
- Hematology Department, ICO Badalona - Hospital Germans Trias i Pujol, Badalona, Spain; Universitat de Vic - Universitat Central de Catalunya, Spain
| |
Collapse
|
2
|
Dou X, Peng M, Jiang R, Li W, Zhang X. Upregulated CD8 + MAIT cell differentiation and KLRD1 gene expression after inactivated SARS-CoV-2 vaccination identified by single-cell sequencing. Front Immunol 2023; 14:1174406. [PMID: 37654490 PMCID: PMC10466403 DOI: 10.3389/fimmu.2023.1174406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 06/30/2023] [Indexed: 09/02/2023] Open
Abstract
Background The primary strategy for reducing the incidence of COVID-19 is SARS-CoV-2 vaccination. Few studies have explored T cell subset differentiation and gene expressions induced by SARS-CoV-2 vaccines. Our study aimed to analyze T cell dynamics and transcriptome gene expression after inoculation with an inactivated SARS-CoV-2 vaccine by using single-cell sequencing. Methods Single-cell sequencing was performed after peripheral blood mononuclear cells were extracted from three participants at four time points during the inactivated SARS-CoV-2 vaccination process. After library preparation, raw read data analysis, quality control, dimension reduction and clustering, single-cell T cell receptor (TCR) sequencing, TCR V(D)J sequencing, cell differentiation trajectory inference, differentially expressed genes, and pathway enrichment were analyzed to explore the characteristics and mechanisms of postvaccination immunodynamics. Results Inactivated SARS-CoV-2 vaccination promoted T cell proliferation, TCR clone amplification, and TCR diversity. The proliferation and differentiation of CD8+ mucosal-associated invariant T (MAIT) cells were significantly upregulated, as were KLRD1 gene expression and the two pathways of nuclear-transcribed mRNA catabolic process, nonsense-mediated decay, and translational initiation. Conclusion Upregulation of CD8+ MAIT cell differentiation and KLRD1 expression after inactivated SARS-CoV-2 vaccination was demonstrated by single-cell sequencing. We conclude that the inactivated SARS-CoV-2 vaccine elicits adaptive T cell immunity to enhance early immunity and rapid response to the targeted virus.
Collapse
Affiliation(s)
- Xiaowen Dou
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Mian Peng
- Department of Critical Care Medicine, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Ruiwei Jiang
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Weiqin Li
- Department of Critical Care Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xiuming Zhang
- Medical Laboratory of the Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| |
Collapse
|
3
|
Rachman A, Iriani A, Irawan C, Sukrisman L, Rajabto W, Mulansari NA, Lubis AM, Prasetyawaty F, Cahyanur R, Priantono D, Rumondor BB, Betsy R, Juanputra S. Complete blood count derived inflammatory biomarkers and the level of anti-SARS-CoV-2 NAb and S-RBD IgG among cancer survivors receiving COVID-19 vaccines. ELECTRONIC JOURNAL OF GENERAL MEDICINE 2023. [DOI: 10.29333/ejgm/12851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
<b>Background</b>: In the era of coronavirus disease 2019 (COVID-19), it is mandatory to identify vulnerable people with cancers as they have impaired immune system that can lead to high mortality. This study analyzes the complete blood count (CBC) derived inflammatory biomarkers and the level of anti-SARS-CoV-2 neutralizing antibody (NAb) and spike protein’s receptor-binding domain immunoglobulin G (S-RBD IgG) among cancer survivors.<br />
<b>Methods</b>: A cross-sectional study was conducted in patients with either solid or hematological cancers who had received two-doses of COVID-19 vaccinations within six months.<br />
<b>Results</b>: From 119 subjects, the COVID-19 vaccines demonstrated laboratory efficacy (median NAb=129.03 AU/mL; median S-RBD IgG=270.53 AU/mL). The seropositive conversion of NAb reached 94.1% and S-RBD IgG reached 93.3%. Additionally, the S-RBD IgG had very weak correlation with absolute monocyte count (R=-0.185; <i>p</i>-value=0.044). The NAb also had very weak correlation with leukocyte (Kendall’s tau-b (τb)=-0.147; <i>p</i>-value=0.019), absolute neutrophil count (τb=-0.126; <i>p</i>-value=0.044), absolute eosinophil count (τb=-0.132; <i>p</i>-value=0.034).<br />
<b>Conclusion</b>: The seropositivity rate of anti-SARS-CoV-2 NAb and S-RBD IgG were significantly high. However, the CBC derived inflammatory biomarkers had poor correlation with anti-SARS-CoV-2 NAb and S-RBD IgG. Thus, anti-SARS-CoV-2 NAb and S-RBD IgG are currently the only reliable markers for measuring the COVID-19 vaccine efficacy which should be widely accessible.
Collapse
Affiliation(s)
- Andhika Rachman
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Anggraini Iriani
- Department of Clinical Pathology, Yarsi University, Jakarta, INDONESIA
| | - Cosphiadi Irawan
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Lugyanti Sukrisman
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Wulyo Rajabto
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Nadia Ayu Mulansari
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Anna Mira Lubis
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Findy Prasetyawaty
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Rahmat Cahyanur
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Dimas Priantono
- Division of Hematology and Medical Oncology, Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Bayu Bijaksana Rumondor
- Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Rachelle Betsy
- Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| | - Samuel Juanputra
- Department of Internal Medicine, Dr. Cipto Mangunkusumo General Hospital-Faculty of Medicine Universitas Indonesia, Jakarta, INDONESIA
| |
Collapse
|
4
|
Chen CS, Jian MJ, Chang CK, Chung HY, Li SY, Lin JC, Yeh KM, Yang YS, Chen CW, Hsieh SS, Tang SH, Perng CL, Chang FY, Shang HS. Monitoring algorithm of hospitalized patients in a medical center with SARS-CoV-2 (Omicron variant) infection: clinical epidemiological surveillance and immunological assessment. PeerJ 2023; 11:e14666. [PMID: 36710871 PMCID: PMC9879147 DOI: 10.7717/peerj.14666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 12/09/2022] [Indexed: 01/24/2023] Open
Abstract
Purpose Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a major healthcare threat worldwide. Since it was first identified in November 2021, the Omicron (B.1.1.529) variant of SARS-CoV-2 has evolved into several lineages, including BA.1, BA.2-BA.4, and BA.5. SARS-CoV-2 variants might increase transmissibility, pathogenicity, and resistance to vaccine-induced immunity. Thus, the epidemiological surveillance of circulating lineages using variant phenotyping is essential. The aim of the current study was to characterize the clinical outcome of Omicron BA.2 infections among hospitalized COVID-19 patients and to perform an immunological assessment of such cases against SARS-CoV-2. Patients and Methods We evaluated the analytical and clinical performance of the BioIC SARS-CoV-2 immunoglobulin (Ig)M/IgG detection kit, which was used for detecting antibodies against SARS-CoV-2 in 257 patients infected with the Omicron variant. Results Poor prognosis was noted in 38 patients, including eight deaths in patients characterized by comorbidities predisposing them to severe COVID-19. The variant-of-concern (VOC) typing and serological analysis identified time-dependent epidemic trends of BA.2 variants emerging in the outbreak of the fourth wave in Taiwan. Of the 257 specimens analyzed, 108 (42%) and 24 (9.3%) were positive for anti-N IgM and IgG respectively. Conclusion The VOC typing of these samples allowed for the identification of epidemic trends by time intervals, including the B.1.1.529 variant replacing the B.1.617.2 variant. Moreover, antibody testing might serve as a complementary method for COVID-19 diagnosis. The combination of serological testing results with the reverse transcription-polymerase chain reaction cycle threshold value has potential value in disease prognosis, thereby aiding in epidemic investigations conducted by clinicians or the healthcare department.
Collapse
Affiliation(s)
- Chi-Sheng Chen
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Ming-Jr Jian
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Chih-Kai Chang
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Hsing-Yi Chung
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Shih-Yi Li
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Jung-Chung Lin
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, Taiwan
| | - Kuo-Ming Yeh
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, Taiwan
| | - Ya-Sung Yang
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, Taiwan
| | - Chien-Wen Chen
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, Taiwan
| | - Shan-Shan Hsieh
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Sheng-Hui Tang
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Cherng-Lih Perng
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| | - Feng-Yee Chang
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine, Tri-Service General Hospital, Taipei, Taiwan
| | - Hung-Sheng Shang
- Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan
| |
Collapse
|
5
|
Xie L, Xu QY, Zheng XQ, Xue JH, Niu JJ, Yang TC. Evaluation of the efficacy of four anti-SARS-CoV-2 antibodies after vaccination using kits from two manufacturers: A prospective, longitudinal, cohort study at 11 serial time points within 160 days. Int Immunopharmacol 2022; 112:109285. [PMID: 36182874 PMCID: PMC9515333 DOI: 10.1016/j.intimp.2022.109285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/21/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022]
Abstract
PURPOSE The accuracy of level of anti- severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies is a great concern. We aimed to compare the efficacy of anti-SARS-CoV-2 antibody detection kits from two manufacturers in evaluating the efficacy of SARS-CoV-2 vaccines. METHODS The immune responses and consistency of four anti-SARS-CoV-2 antibodies were evaluated using two manufacturers' antibody kits (A and B) in 61 subjects within 160 days after vaccination with the CoronaVac vaccine. RESULTS The total seropositivity rates of neutralizing antibodies and IgM antibodies detected by kit A were higher than those detected by kit B (P = 0.003 and P < 0.001, respectively). Conversely, the total seropositivity rates of total antibodies and IgG antibodies were higher in kit B than kit A (P < 0.001 and P < 0.001, respectively). The consistency rates showed less than 90% agreement between the kits for the detection of the four antibodies, and the κ score showed moderate or substantial consistency. The half-lives of neutralizing antibodies, total antibodies, and IgG antibodies within 160 days after vaccination, detected by kit A were 63.88 days, 80.50 days, and 63.70 days, respectively and by kit B were 97.06 days, 65.41 days, and 77.99 days, respectively. CONCLUSION The efficacy of antibody detection differed between the two commercial anti-SARS-CoV-2 antibody kits, although there was moderate consistency, which may affect the clinical application and formulation of the vaccine strategy.
Collapse
Affiliation(s)
- Lin Xie
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Qiu-Yan Xu
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Xin-Qi Zheng
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China
| | - Jian-Hang Xue
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jian-Jun Niu
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China.
| | - Tian-Ci Yang
- Center of Clinical Laboratory, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Institute of Infectious Disease, School of Medicine, Xiamen University, Xiamen, China.
| |
Collapse
|
6
|
Peng M, Dou X, Zhang X, Yan M, Xiong D, Jiang R, Ou T, Tang A, Yu X, Zhu F, Li W. Protective antigenic epitopes revealed by immunosignatures after three doses of inactivated SARS-CoV-2 vaccine. Front Immunol 2022; 13:938378. [PMID: 36016943 PMCID: PMC9397116 DOI: 10.3389/fimmu.2022.938378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 07/07/2022] [Indexed: 11/13/2022] Open
Abstract
Background SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has infected millions of people around the world. Vaccination is a pillar in the strategy to control transmission of the SARS-CoV-2 spread. Immune responses to vaccination require elucidation. Methods The immune responses to vaccination with three doses of inactivated SARS-CoV-2 vaccine were followed in a cohort of 37 healthy adults (18–59 years old). Blood samples were collected at multiple time points and submitted to peptide array, machine learning modeling, and sequence alignment analyses, the results of which were used to generate vaccine-induced antibody-binding region (VIABR) immunosignatures (Registration number: ChiCTR2200058571). Results Antibody spectrum signals showed vaccination stimulated antibody production. Sequence alignment analyses revealed that a third vaccine dose generated a new highly represented VIABR near the A570D mutation, and the whole process of inoculation enhanced the VIABR near the N501Y mutation. In addition, the antigen conformational epitopes varied between short- and long-term samples. The amino acids with the highest scores in the short-term samples were distributed primarily in the receptor binding domain (RBD) and N-terminal domain regions of spike (S) protein, while in the long-term samples (12 weeks after the 2nd dose), some new conformational epitopes (CEs) were localized to crevices within the head of the S protein trimer. Conclusion Protective antigenic epitopes were revealed by immunosignatures after three doses of inactivated SARS-CoV-2 vaccine inoculation. A third dose results in a new top-10 VIABR near the A570D mutation site of S protein, and the whole process of inoculation enhanced the VIABR near the N501Y mutation, thus potentially providing protection from strains that have gained invasion and immune escape abilities through these mutation.
Collapse
Affiliation(s)
- Mian Peng
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
- Department of Critical Care Medicine, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xiaowen Dou
- Medical Laboratory, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xiuming Zhang
- Medical Laboratory, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Mingchen Yan
- Department of Artificial Intelligence and Bioinformatics, Shenzhen Digital Life Research Institute, Shenzhen, China
| | - Dan Xiong
- Medical Laboratory, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Ruiwei Jiang
- Medical Laboratory, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Tong Ou
- Medical Laboratory, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Aifa Tang
- Science and Education Center, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Xiqiu Yu
- Department of Gastroenterology, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Feiqi Zhu
- Department of Neurology, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Weiqin Li
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China
- *Correspondence: Weiqin Li,
| |
Collapse
|