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Dong W, Miao Y, Shen Z, Zhang W, Bai J, Zhu D, Ren R, Zhang J, Wu J, Tarimo CS, Ojangba T, Li Y. Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study. JMIR Public Health Surveill 2024; 10:e50595. [PMID: 39028548 PMCID: PMC11297372 DOI: 10.2196/50595] [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: 07/06/2023] [Revised: 04/04/2024] [Accepted: 05/16/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Vaccination plays an important role in preventing COVID-19 infection and reducing the severity of the disease. There are usually differences in vaccination rates between urban and rural areas. Measuring these differences can aid in developing more coordinated and sustainable solutions. This information also serves as a reference for the prevention and control of emerging infectious diseases in the future. OBJECTIVE This study aims to assess the current coverage rate and influencing factors of COVID-19 (second booster) vaccination among Chinese residents, as well as the disparities between urban and rural areas in China. METHODS This cross-sectional study used a stratified random sampling approach to select representative samples from 11 communities and 10 villages in eastern (Changzhou), central (Zhengzhou), western (Xining), and northeast (Mudanjiang) Mainland China from February 1 to February 18, 2023. The questionnaires were developed by experienced epidemiologists and contained the following: sociodemographic information, health conditions, vaccine-related information, information related to the Protective Motivation Theory (PMT), and the level of trust in the health care system. Vaccination rates among the participants were evaluated based on self-reported information provided. Binary logistic regression models were performed to explore influencing factors of vaccination among urban and rural participants. Urban-rural disparities in the vaccination rate were assessed using propensity score matching (PSM). RESULTS A total of 5780 participants were included, with 53.04% (3066/5780) being female. The vaccination rate was 12.18% (704/5780; 95% CI 11.34-13.02) in the total sample, 13.76% (341/2478; 95% CI 12.40-15.12) among the rural participants, and 10.99% (363/3302; 95% CI 9.93-12.06) among the urban participants. For rural participants, self-reported health condition, self-efficacy, educational level, vaccine knowledge, susceptibility, benefits, and trust in the health care system were independent factors associated with vaccination (all P<.05). For urban participants, chronic conditions, COVID-19 infection, subjective community level, vaccine knowledge, self-efficacy, and trust in the health care system were independent factors associated with vaccination (all P<.05). PSM analysis uncovered a 3.42% difference in vaccination rates between urban and rural participants. CONCLUSIONS The fourth COVID-19 vaccination coverage rate (second booster) among the Chinese population was extremely low, significantly lower than the previous vaccine coverage rate. Given that COVID-19 infection is still prevalent at low levels, efforts should focus on enhancing self-efficacy to expand the vaccine coverage rate among the Chinese population. For rural residents, building awareness of the vaccine's benefits and improving their overall health status should be prioritized. In urban areas, a larger proportion of people with COVID-19 and patients with chronic illness should be vaccinated.
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Affiliation(s)
- Wenyong Dong
- Department of Hypertension, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Yudong Miao
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhanlei Shen
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wanliang Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Junwen Bai
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dongfang Zhu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ruizhe Ren
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jingbao Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Jian Wu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Clifford Silver Tarimo
- Department of Science and Laboratory Technology, Dar Es Salaam Institute of Technology, Dar es Salaam, United Republic of Tanzania
| | - Theodora Ojangba
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yi Li
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, China
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Nguyen THO, Rowntree LC, Chua BY, Thwaites RS, Kedzierska K. Defining the balance between optimal immunity and immunopathology in influenza virus infection. Nat Rev Immunol 2024:10.1038/s41577-024-01029-1. [PMID: 38698083 DOI: 10.1038/s41577-024-01029-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2024] [Indexed: 05/05/2024]
Abstract
Influenza A viruses remain a global threat to human health, with continued pandemic potential. In this Review, we discuss our current understanding of the optimal immune responses that drive recovery from influenza virus infection, highlighting the fine balance between protective immune mechanisms and detrimental immunopathology. We describe the contribution of innate and adaptive immune cells, inflammatory modulators and antibodies to influenza virus-specific immunity, inflammation and immunopathology. We highlight recent human influenza virus challenge studies that advance our understanding of susceptibility to influenza and determinants of symptomatic disease. We also describe studies of influenza virus-specific immunity in high-risk groups following infection and vaccination that inform the design of future vaccines to promote optimal antiviral immunity, particularly in vulnerable populations. Finally, we draw on lessons from the COVID-19 pandemic to refocus our attention to the ever-changing, highly mutable influenza A virus, predicted to cause future global pandemics.
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Affiliation(s)
- Thi H O Nguyen
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Louise C Rowntree
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Brendon Y Chua
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia
| | - Ryan S Thwaites
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
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Reperant L, Russell CA, Osterhaus A. Scientific highlights of the 9th ESWI Influenza Conference. ONE HEALTH OUTLOOK 2024; 6:5. [PMID: 38561784 PMCID: PMC10986029 DOI: 10.1186/s42522-024-00099-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The European Scientific Working Group on Influenza (ESWI) held the 9th ESWI Influenza Conference in Valencia from 17-20 September 2023. Here we provide a summary of twelve key presentations, covering major topics on influenza virus, respiratory syncytial virus (RSV) and SARS coronavirus 2 (SARS-CoV-2) including: infection processes beyond acute respiratory disease, long COVID, vaccines against influenza and RSV, the implications of the potential extinction of influenza B virus Yamagata lineage, and the threats posed by zoonotic highly pathogenic avian influenza viruses.
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Affiliation(s)
| | - Colin A Russell
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Albert Osterhaus
- Center of Infection Medicine and Zoonosis Research and the University of Veterinary Medicine Hannover, Hannover, Germany.
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4
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Adhikari B, Bednash JS, Horowitz JC, Rubinstein MP, Vlasova AN. Brief research report: impact of vaccination on antibody responses and mortality from severe COVID-19. Front Immunol 2024; 15:1325243. [PMID: 38390335 PMCID: PMC10883056 DOI: 10.3389/fimmu.2024.1325243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/22/2024] [Indexed: 02/24/2024] Open
Abstract
Introduction While it is established that vaccination reduces risk of hospitalization, there is conflicting data on whether it improves outcome among hospitalized COVID-19 patients. This study evaluated clinical outcomes and antibody (Ab) responses to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection/vaccines in patients with acute respiratory failure (ARF) and various comorbidities. Methods In this single-center study, 152 adult patients were admitted to Ohio State University hospital with ARF (05/2020 - 11/2022) including 112 COVID-19-positive and 40 COVID-19-negative patients. Of the COVID-19 positive patients, 23 were vaccinated for SARS-CoV-2 (Vax), and 89 were not (NVax). Of the NVax COVID-19 patients, 46 were admitted before and 43 after SARS-CoV-2 vaccines were approved. SARS-CoV-2 Ab levels were measured/analyzed based on various demographic and clinical parameters of COVID-19 patients. Additionally, total IgG4 Ab concentrations were compared between the Vax and NVax patients. Results While mortality rates were 36% (n=25) and 27% (n=15) for non-COVID-19 NVax and Vax patients, respectively, in COVID-19 patients mortality rates were 37% (NVax, n=89) and 70% (Vax, n=23). Among COVID-19 patients, mortality rate was significantly higher among Vax vs. NVax patients (p=0.002). The Charlson's Comorbidity Index score (CCI) was also significantly higher among Vax vs. NVax COVID-19 patients. However, the mortality risk remained significantly higher (p=0.02) when we compared COVID-19 Vax vs. NVax patients with similar CCI score, suggesting that additional factors may increase risk of mortality. Higher levels of SARS-CoV-2 Abs were noted among survivors, suggestive of their protective role. We observed a trend for increased total IgG4 Ab, which promotes immune tolerance, in the Vax vs. NVax patients in week 3. Conclusion Although our cohort size is small, our results suggest that vaccination status of hospital-admitted COVID-19 patients may not be instructive in determining mortality risk. This may reflect that within the general population, those individuals at highest risk for COVID-19 mortality/immune failure are likely to be vaccinated. Importantly, the value of vaccination may be in preventing hospitalization as opposed to stratifying outcome among hospitalized patients, although our data do not address this possibility. Additional research to identify factors predictive of aberrant immunogenic responses to vaccination is warranted.
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Affiliation(s)
- Bindu Adhikari
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Wooster, OH, United States
- Center for Food Animal Health, Department of Animal Sciences, Ohio Agriculture Research and Development Center (OARDC), College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH, United States
| | - Joseph S. Bednash
- Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University, Columbus, OH, United States
| | - Jeffrey C. Horowitz
- Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, The Ohio State University, Columbus, OH, United States
| | - Mark P. Rubinstein
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
- The Pelotonia Institute of Immuno-Oncology, The Ohio State University James Comprehensive Cancer Center, Columbus, OH, United States
| | - Anastasia N. Vlasova
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Wooster, OH, United States
- Center for Food Animal Health, Department of Animal Sciences, Ohio Agriculture Research and Development Center (OARDC), College of Food, Agricultural and Environmental Sciences, The Ohio State University, Wooster, OH, United States
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5
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Li L, Xie Z, Li Y, Luo M, Zhang L, Feng C, Tang G, Huang H, Hou R, Xu Y, Jia S, Shi J, Fan Q, Gan Q, Yu N, Hu F, Li Y, Lan Y, Tang X, Li F, Deng X. Immune response and severity of Omicron BA.5 reinfection among individuals previously infected with different SARS-CoV-2 variants. Front Cell Infect Microbiol 2023; 13:1277880. [PMID: 38188634 PMCID: PMC10766752 DOI: 10.3389/fcimb.2023.1277880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/28/2023] [Indexed: 01/09/2024] Open
Abstract
Introduction COVID-19 continues to spread worldwide, with an increasing number of individuals experiencing reinfection after recovering from their primary infection. However, the nature and progression of this infection remain poorly understood. We aimed to investigate the immune response, severity and outcomes of Omicron BA.5 reinfection among individuals previously infected with different SARS-CoV-2 variants. Methods We enrolled 432 COVID-19 cases who had experienced prior infection with the ancestral SARS-CoV-2 virus, Delta variant or Omicron BA.2 variant between January 2020 and May 2022 in Guangzhou, China. All cases underwent follow-up from March to April, 2023 through telephone questionnaires and clinical visits. Nasal lavage fluid and peripheral blood were collected to assess anti-RBD IgA, anti-RBD IgG and virus-specific IFN-γ secreting T cells. Results Our study shows that 73.1%, 56.7% and 12.5% of individuals with a prior infection of the ancestral virus, Delta or Omicron BA.2 variant experienced reinfection with the BA.5 variant, respectively. Fever, cough and sore throat were the most common symptoms of BA.5 reinfection, with most improving within one week and none progressing to a critical condition. Compared with individuals without reinfection, reinfected patients with a prior Delta infection exhibited elevated levels of nasal anti-RBD IgA, serum anti-RBD IgG and IFN-γ secreting T cells, whereas there was no noticeable change in reinfected individuals with a prior BA.2 infection. Conclusion These results suggest that BA.5 reinfection is common but severe outcomes are relatively rare. Reinfection with a novel SARS-CoV-2 variant different from the prior infection may induce a more robust immune protection, which should be taken into account during vaccine development.
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Affiliation(s)
- Lu Li
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhiwei Xie
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Youxia Li
- Department of Critical Care Medicine, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Minhan Luo
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lieguang Zhang
- Department of Radiology, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chengqian Feng
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Guofang Tang
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Huang Huang
- Department of Critical Care Medicine, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ruitian Hou
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yujuan Xu
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shijie Jia
- Department of Traditional Chinese Medicine, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jingrong Shi
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Qinghong Fan
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Qingxin Gan
- Department of Radiology, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Na Yu
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Fengyu Hu
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Laboratory, Bio-Island, Guangzhou, China
| | - Yueping Li
- Department of Infectious Critical Care Medicine, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yun Lan
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaoping Tang
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Laboratory, Bio-Island, Guangzhou, China
| | - Feng Li
- Institute of Infectious Diseases, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
- Guangzhou Laboratory, Bio-Island, Guangzhou, China
| | - Xilong Deng
- Department of Critical Care Medicine, Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
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6
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Nehar-Belaid D, Sokolowski M, Ravichandran S, Banchereau J, Chaussabel D, Ucar D. Baseline immune states (BIS) associated with vaccine responsiveness and factors that shape the BIS. Semin Immunol 2023; 70:101842. [PMID: 37717525 DOI: 10.1016/j.smim.2023.101842] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/11/2023] [Indexed: 09/19/2023]
Abstract
Vaccines are among the greatest inventions in medicine, leading to the elimination or control of numerous diseases, including smallpox, polio, measles, rubella, and, most recently, COVID-19. Yet, the effectiveness of vaccines varies among individuals. In fact, while some recipients mount a robust response to vaccination that protects them from the disease, others fail to respond. Multiple clinical and epidemiological factors contribute to this heterogeneity in responsiveness. Systems immunology studies fueled by advances in single-cell biology have been instrumental in uncovering pre-vaccination immune cell types and genomic features (i.e., the baseline immune state, BIS) that have been associated with vaccine responsiveness. Here, we review clinical factors that shape the BIS, and the characteristics of the BIS associated with responsiveness to frequently studied vaccines (i.e., influenza, COVID-19, bacterial pneumonia, malaria). Finally, we discuss potential strategies to enhance vaccine responsiveness in high-risk groups, focusing specifically on older adults.
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Affiliation(s)
| | - Mark Sokolowski
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | | | | | - Damien Chaussabel
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Duygu Ucar
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA; Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT, USA.
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Zhang W, Clemens EB, Kedzierski L, Chua BY, Mayo M, Lonzi C, Hinchcliff A, Rigas V, Middleton BF, Binks P, Rowntree LC, Allen LF, Tan HX, Petersen J, Chaurasia P, Krammer F, Wheatley AK, Kent SJ, Rossjohn J, Miller A, Lynar S, Nelson J, Nguyen THO, Davies J, Kedzierska K. Broad spectrum SARS-CoV-2-specific immunity in hospitalized First Nations peoples recovering from COVID-19. Immunol Cell Biol 2023; 101:964-974. [PMID: 37725525 PMCID: PMC10872797 DOI: 10.1111/imcb.12691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/21/2023]
Abstract
Indigenous peoples globally are at increased risk of COVID-19-associated morbidity and mortality. However, data that describe immune responses to SARS-CoV-2 infection in Indigenous populations are lacking. We evaluated immune responses in Australian First Nations peoples hospitalized with COVID-19. Our work comprehensively mapped out inflammatory, humoral and adaptive immune responses following SARS-CoV-2 infection. Patients were recruited early following the lifting of strict public health measures in the Northern Territory, Australia, between November 2021 and May 2022. Australian First Nations peoples recovering from COVID-19 showed increased levels of MCP-1 and IL-8 cytokines, IgG-antibodies against Delta-RBD and memory SARS-CoV-2-specific T cell responses prior to hospital discharge in comparison with hospital admission, with resolution of hyperactivated HLA-DR+ CD38+ T cells. SARS-CoV-2 infection elicited coordinated ASC, Tfh and CD8+ T cell responses in concert with CD4+ T cell responses. Delta and Omicron RBD-IgG, as well as Ancestral N-IgG antibodies, strongly correlated with Ancestral RBD-IgG antibodies and Spike-specific memory B cells. We provide evidence of broad and robust immune responses following SARS-CoV-2 infection in Indigenous peoples, resembling those of non-Indigenous COVID-19 hospitalized patients.
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Affiliation(s)
- Wuji Zhang
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - E Bridie Clemens
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Lukasz Kedzierski
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
- Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC 3000, Australia
| | - Brendon Y Chua
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Mark Mayo
- Menzies School of Health Research, Darwin, NT 0811, Australia
| | - Claire Lonzi
- Menzies School of Health Research, Darwin, NT 0811, Australia
| | | | - Vanessa Rigas
- Menzies School of Health Research, Darwin, NT 0811, Australia
| | | | - Paula Binks
- Menzies School of Health Research, Darwin, NT 0811, Australia
| | - Louise C Rowntree
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Lilith F Allen
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Hyon-Xhi Tan
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Jan Petersen
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Priyanka Chaurasia
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, 10029, USA
| | - Adam K Wheatley
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Stephen J Kent
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
- ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, Melbourne, VIC 3010, Australia
- Melbourne Sexual Health Centre, Infectious Diseases Department, Alfred Health, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
| | - Jamie Rossjohn
- Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia
- Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff CF14 4XN, UK
| | - Adrian Miller
- Indigenous Engagement, CQUniversity, Townsville, QLD 4810, Australia
| | - Sarah Lynar
- Menzies School of Health Research, Darwin, NT 0811, Australia
- Infectious Diseases Department, Royal Darwin Hospital, Darwin, NT, Australia
| | - Jane Nelson
- Menzies School of Health Research, Darwin, NT 0811, Australia
| | - Thi H O Nguyen
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Jane Davies
- Menzies School of Health Research, Darwin, NT 0811, Australia
- Infectious Diseases Department, Royal Darwin Hospital, Darwin, NT, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
- Center for Influenza Disease and Emergence Response (CIDER), Melbourne, VIC 3000, Australia
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Bell S, Perkins GB, Anandh U, Coates PT. COVID and the Kidney: An Update. Semin Nephrol 2023; 43:151471. [PMID: 38199827 DOI: 10.1016/j.semnephrol.2023.151471] [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] [Indexed: 01/12/2024]
Abstract
Coronavirus disease-2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, has led to a global pandemic that continues to be responsible for ongoing health issues for people worldwide. Immunocompromised individuals such as kidney transplant recipients and dialysis patients have been and continue to be among the most affected, with poorer outcomes after infection, impaired response to COVID-19 vaccines, and protracted infection. The pandemic also has had a significant impact on patients with underlying chronic kidney disease (CKD), with CKD increasing susceptibility to COVID-19, risk of hospital admission, and mortality. COVID-19 also has been shown to lead to acute kidney injury (AKI) through both direct and indirect mechanisms. The incidence of COVID-19 AKI has been decreasing as the pandemic has evolved, but continues to be associated with adverse patient outcomes correlating with the severity of AKI. There is also increasing evidence examining the longer-term effect of COVID-19 on the kidney demonstrating continued decline in kidney function several months after infection. This review summarizes the current evidence examining the impact of COVID-19 on the kidney, covering both the impact on patients with CKD, including patients receiving kidney replacement therapy, in addition to discussing COVID-19 AKI.
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Affiliation(s)
- Samira Bell
- Division of Population Health and Genomics, University of Dundee, Dundee, Scotland.
| | - Griffith B Perkins
- University of Adelaide, South Australia, 5005 Australia; Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide
| | - Urmila Anandh
- Department of Nephrology, Amrita Hospitals, Faridabad, Haryana, India
| | - P Toby Coates
- University of Adelaide, South Australia, 5005 Australia; Central and Northern Adelaide Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide
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9
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Graca L, Faria AC, Ribeiro RM. Illuminating a blind spot in SARS-CoV-2 immunity. Nat Immunol 2023; 24:889-890. [PMID: 37248418 DOI: 10.1038/s41590-023-01518-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Affiliation(s)
- Luis Graca
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Lisbon Academic Medical Center, Universidade de Lisboa, Lisboa, Portugal.
| | - Ana Caetano Faria
- Departamento de Bioquímica e Imunologia, Insituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Ruy M Ribeiro
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA
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