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Raheem MA, Rahim MA, Gul I, Reyad-Ul-Ferdous M, Zhang CY, Yu D, Pandey V, Du K, Wang R, Han S, Han Y, Qin P. COVID-19: Post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations. Life Sci 2024:122861. [PMID: 38925222 DOI: 10.1016/j.lfs.2024.122861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 06/28/2024]
Abstract
SARS-CoV-2 is a highly contagious pathogen that predominantly caused the COVID-19 pandemic. The persistent effects of COVID-19 are defined as an inflammatory or host response to the virus that begins four weeks after initial infection and persists for an undetermined length of time. Chronic effects are more harmful than acute ones thus, this review explored the long-term effects of the virus on various human organs, including the pulmonary, cardiovascular, and neurological, reproductive, gastrointestinal, musculoskeletal, endocrine, and lymphoid systems and found that SARS-CoV-2 adversely affects these organs of older adults. Regarding diagnosis, the RT-PCR is a gold standard method of diagnosing COVID-19; however, it requires specialized equipment and personnel for performing assays and a long time for results production. Therefore, to overcome these limitations, artificial intelligence employed in imaging and microfluidics technologies is the most promising in diagnosing COVID-19. Pharmacological and non-pharmacological strategies are the most effective treatment for reducing the persistent impacts of COVID-19 by providing immunity to post-COVID-19 patients by reducing cytokine release syndrome, improving the T cell response, and increasing the circulation of activated natural killer and CD8 T cells in blood and tissues, which ultimately reduces fever, nausea, fatigue, and muscle weakness and pain. Vaccines such as inactivated viral, live attenuated viral, protein subunit, viral vectored, mRNA, DNA, or nanoparticle vaccines significantly reduce the adverse long-term virus effects in post-COVID-19 patients; however, no vaccine was reported to provide lifetime protection against COVID-19; consequently, protective measures such as physical separation, mask use, and hand cleansing are promising strategies. This review provides a comprehensive knowledge of the persistent effects of COVID-19 on people of varying ages, as well as diagnosis, treatment, vaccination, and future preventative measures against the spread of SARS-CoV-2.
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Affiliation(s)
- Muhammad Akmal Raheem
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Muhammad Ajwad Rahim
- College of Animal Science and Technology, Ahnui Agricultural University, Hefei, PR China
| | - Ijaz Gul
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Md Reyad-Ul-Ferdous
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Can Yang Zhang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Dongmei Yu
- School of Mechanical, Electrical & Information Engineering, Shandong University
| | - Vijay Pandey
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Ke Du
- Department of Chemical and Environmental Engineering, University of California, Riverside, CA, USA
| | - Runming Wang
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Sanyang Han
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Yuxing Han
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China
| | - Peiwu Qin
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, PR China; Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong Province 518055, PR China.
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Wei Q, Mease PJ, Chiorean M, Iles-Shih L, Matos WF, Baumgartner A, Molani S, Hwang YM, Belhu B, Ralevski A, Hadlock J. Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system. Lancet Digit Health 2024; 6:e309-e322. [PMID: 38670740 PMCID: PMC11069366 DOI: 10.1016/s2589-7500(24)00021-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/18/2023] [Accepted: 01/30/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND In the context of immune-mediated inflammatory diseases (IMIDs), COVID-19 outcomes are incompletely understood and vary considerably depending on the patient population studied. We aimed to analyse severe COVID-19 outcomes and to investigate the effects of the pandemic time period and the risks associated with individual IMIDs, classes of immunomodulatory medications (IMMs), chronic comorbidities, and COVID-19 vaccination status. METHODS In this retrospective cohort study, clinical data were derived from the electronic health records of an integrated health-care system serving patients in 51 hospitals and 1085 clinics across seven US states (Providence St Joseph Health). Data were observed for patients (no age restriction) with one or more IMID and for unmatched controls without IMIDs. COVID-19 was identified with a positive nucleic acid amplification test result for SARS-CoV-2. Two timeframes were analysed: March 1, 2020-Dec 25, 2021 (pre-omicron period), and Dec 26, 2021-Aug 30, 2022 (omicron-predominant period). Primary outcomes were hospitalisation, mechanical ventilation, and mortality in patients with COVID-19. Factors, including IMID diagnoses, comorbidities, long-term use of IMMs, and COVID-19 vaccination status, were analysed with multivariable logistic regression (LR) and extreme gradient boosting (XGB). FINDINGS Of 2 167 656 patients tested for SARS-CoV-2, 290 855 (13·4%) had confirmed COVID-19: 15 397 (5·3%) patients with IMIDs and 275 458 (94·7%) without IMIDs. In the pre-omicron period, 169 993 (11·2%) of 1 517 295 people who were tested for COVID-19 tested positive, of whom 23 330 (13·7%) were hospitalised, 1072 (0·6%) received mechanical ventilation, and 5294 (3·1%) died. Compared with controls, patients with IMIDs and COVID-19 had higher rates of hospitalisation (1176 [14·6%] vs 22 154 [13·7%]; p=0·024) and mortality (314 [3·9%] vs 4980 [3·1%]; p<0·0001). In the omicron-predominant period, 120 862 (18·6%) of 650 361 patients tested positive for COVID-19, of whom 14 504 (12·0%) were hospitalised, 567 (0·5%) received mechanical ventilation, and 2001 (1·7%) died. Compared with controls, patients with IMIDs and COVID-19 (7327 [17·3%] of 42 249) had higher rates of hospitalisation (13 422 [11·8%] vs 1082 [14·8%]; p<0·0001) and mortality (1814 [1·6%] vs 187 [2·6%]; p<0·0001). Age was a risk factor for worse outcomes (adjusted odds ratio [OR] from 2·1 [95% CI 2·0-2·1]; p<0·0001 to 3·0 [2·9-3·0]; p<0·0001), whereas COVID-19 vaccination (from 0·082 [0·080-0·085]; p<0·0001 to 0·52 [0·50-0·53]; p<0·0001) and booster vaccination (from 2·1 [2·0-2·2]; p<0·0001 to 3·0 [2·9-3·0]; p<0·0001) status were associated with better outcomes. Seven chronic comorbidities were significant risk factors during both time periods for all three outcomes: atrial fibrillation, coronary artery disease, heart failure, chronic kidney disease, chronic obstructive pulmonary disease, chronic liver disease, and cancer. Two IMIDs, asthma (adjusted OR from 0·33 [0·32-0·34]; p<0·0001 to 0·49 [0·48-0·51]; p<0·0001) and psoriasis (from 0·52 [0·48-0·56] to 0·80 [0·74-0·87]; p<0·0001), were associated with a reduced risk of severe outcomes. IMID diagnoses did not appear to be significant risk factors themselves, but results were limited by small sample size, and vasculitis had high feature importance in LR. IMMs did not appear to be significant, but less frequently used IMMs were limited by sample size. XGB outperformed LR, with the area under the receiver operating characteristic curve for models across different time periods and outcomes ranging from 0·77 to 0·92. INTERPRETATION Our results suggest that age, chronic comorbidities, and not being fully vaccinated might be greater risk factors for severe COVID-19 outcomes in patients with IMIDs than the use of IMMs or the IMIDs themselves. Overall, there is a need to take age and comorbidities into consideration when developing COVID-19 guidelines for patients with IMIDs. Further research is needed for specific IMIDs (including IMID severity at the time of SARS-CoV-2 infection) and IMMs (considering dosage and timing before a patient's first COVID-19 infection). FUNDING Pfizer, Novartis, Janssen, and the National Institutes of Health.
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Affiliation(s)
- Qi Wei
- Institute for Systems Biology, Seattle, WA, USA
| | - Philip J Mease
- Providence St Joseph Health-Swedish Medical Center, Seattle, WA, USA
| | - Michael Chiorean
- Digestive Health Institute, Swedish Medical Center, Seattle, WA, USA
| | - Lulu Iles-Shih
- Digestive Health Institute, Swedish Medical Center, Seattle, WA, USA
| | | | | | | | | | | | | | - Jennifer Hadlock
- Institute for Systems Biology, Seattle, WA, USA; Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
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Chen DY, Huang PI, Tang KT. Characteristics of long COVID in patients with autoimmune rheumatic diseases: a systematic review and meta-analysis. Rheumatol Adv Pract 2024; 8:rkae027. [PMID: 38560644 PMCID: PMC10980592 DOI: 10.1093/rap/rkae027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 02/09/2024] [Indexed: 04/04/2024] Open
Abstract
Objectives Numerous cases of long coronavirus disease (long COVID) have been reported in patients with autoimmune rheumatic diseases (ARDs). Despite the reviews on clinical manifestations of long COVID in the general population, systematic reviews on ARD patients are scarce. Herein, we conducted a systematic review and meta-analysis on the prevalence and characteristics of long COVID in ARD patients. Methods We searched the literature in PubMed and Embase as of 27 December 2022. Cohort, cross-sectional and case-control studies relevant to long COVID in ARD patients were collected. Stratification based on the severity of COVID infection and subtypes of rheumatic diseases [systemic autoimmune rheumatic disease (SARD) vs non-autoimmune rheumatic disease (NARD)] was also undertaken. A random-effects model was used in the meta-analysis. Results A total of 15 relevant studies were identified from the literature. The prevalence of long COVID was 56% (95% CI 34, 76) in 2995 patients. Hospitalized COVID patients had a higher proportion of long COVID than non-hospitalized patients. The prevalence of long COVID was similar between SARD and NARD patients. In terms of symptoms, fatigue, arthralgia and pain were commonly reported in long COVID patients with ARDs. Conclusion The characteristics of long COVID in ARD patients are generally similar to those in the general population despite a higher prevalence and a higher proportion of arthralgia and pain.
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Affiliation(s)
- Der-Yuan Chen
- Rheumatology and Immunology Center, China Medical University Hospital, Taichung, Taiwan
- College of Medicine, China Medical University, Taichung, Taiwan
- College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Po-I Huang
- Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Kuo-Tung Tang
- Division of Allergy, Immunology, and Rheumatology, Taichung Veterans General Hospital, Taichung, Taiwan
- Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Ph.D. Program in Translational Medicine and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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Yu S, Li H, Zhang K, Cheng G, Wang Y, Jia Y, Su L, Jin Y, Shao M, He J. Aberrant Immune Features after Recovery from COVID-19 in Patients with Systemic Lupus Erythematosus and Other Autoimmune Diseases. Biomedicines 2023; 11:2807. [PMID: 37893180 PMCID: PMC10603977 DOI: 10.3390/biomedicines11102807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/14/2023] [Accepted: 10/14/2023] [Indexed: 10/29/2023] Open
Abstract
Considering the large number of individuals who have already been infected and may have reinfection, the post-infection effects of COVID-19 are of great importance for clinical practice and predicting disease trends. However, our understanding of the potential long-term effects, particularly on immunity, after recovering from COVID-19 remains limited. The aim of this study was to investigate the abnormal immunological factors that contribute to the prolonged immunological effects of COVID-19. Two groups of patients were enrolled in the study, including 11 individuals with various autoimmune diseases (AIDs) and 16 patients diagnosed with systemic lupus erythematosus (SLE). Detailed clinical symptoms were closely monitored, and peripheral mononuclear cells were analyzed using flow cytometry. The clinical status was evaluated using the SLE Disease Activity Index (SLEDAI) and the Clinical Global Impressions (CGI) index. The proportions of follicular T helper cells (Tfh) exhibited significant increases in both cohorts (AID: p = 0.03; SLE: p = 0.0008). Conversely, the percentages of Foxp3+ and CD4+ regulatory T cells (Treg) were reduced in patients following COVID-19 infection (AID: p = 0.009, 0.05, resp.; SLE: p = 0.02, 0.0009, resp.). The percentages of Th2 and Th17 cells were significantly increased in SLE patients (p < 0.05). Exacerbated conditions were observed in SLE patients two months after infection (SLEDAI, p < 0.05). Our findings show that COVID-19 infection increases Tfh cells and decreases Treg cells in patients of AIDs, worsening pathogenetic immune status in post-recovery populations.
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Affiliation(s)
- Siyue Yu
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Hao Li
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Kai Zhang
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Gong Cheng
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Yifan Wang
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Yuan Jia
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Linchong Su
- Hubei Provincial Key Laboratory of Occurrence and Intervention of Rheumatic Diseases, Hubei Minzu University, Enshi 430074, China;
| | - Yuebo Jin
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Miao Shao
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
| | - Jing He
- Department of Rheumatology and Immunology, Peking University People’s Hospital, Beijing 100044, China; (S.Y.); (H.L.); (K.Z.); (G.C.); (Y.W.); (Y.J.); (Y.J.); (M.S.)
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Nørgård BM, Zegers FD, Nielsen J, Knudsen T, Kjeldsen J. COVID-19 Does Not Lead to an Increase in Corticosteroid Prescriptions in IBD Patients: A Nationwide Cohort Study. Inflamm Bowel Dis 2023; 29:1470-1476. [PMID: 37067508 DOI: 10.1093/ibd/izad070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND It is not known whether coronavirus 2019 (COVID-19) is a trigger for disease activity in patients with inflammatory bowel diseases (IBD). In patients with IBD, we aimed to examine the association between COVID-19 infection and prescriptions of systemic and local corticosteroids (used as proxy for disease activity). METHODS This nationwide cohort study was based on Danish health registries and included all patients in Denmark with ulcerative colitis (UC) or Crohn's disease (CD) by the start of the pandemic (March 1, 2020) and who had a positive COVID-19 polymerase chain reaction (PCR) test from March 1, 2020, to July 31, 2022. We calculated rates of corticosteroid prescriptions 6 months before and 6 months after a positive COVID-19 PCR test, and we calculated adjusted incidence rate ratios (aIRR). RESULTS We included 30,102 patients with IBD and a positive COVID-19 test (11,159 with CD, 18,493 with UC). The aIRR for having corticosteroid prescriptions after a COVID-19 positive test was 0.85 (95% confidence interval [CI], 0.79-0.91). When we stratified for underlying disease, the aIRR for having corticosteroid after a COVID-19 positive test in UC was 0.82 (95% CI, 0.75-0.90), and in CD 0.91 (95% CI, 0.81-1.02). Stratifications according to calendar periods and age groups showed consistent results. CONCLUSIONS An infection with COVID-19 did not result in a higher rate of filled corticosteroid prescriptions. Using corticosteroids as a proxy for disease activity, COVID-19 did not seem to trigger disease activity, which is a reassuring result for patients with IBD.
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Affiliation(s)
- Bente Mertz Nørgård
- Center for Clinical Epidemiology, Odense University Hospital, 5000 Odense C, Denmark
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark
| | - Floor Dijkstra Zegers
- Center for Clinical Epidemiology, Odense University Hospital, 5000 Odense C, Denmark
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark
| | - Jan Nielsen
- Center for Clinical Epidemiology, Odense University Hospital, 5000 Odense C, Denmark
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark
| | - Torben Knudsen
- Department of Medical Gastroenterology, Hospital of Southwest Jutland, Esbjerg, Denmark
- Department of Regional Health Science, University of Southern Denmark, Esbjerg, Denmark
| | - Jens Kjeldsen
- Department of Medical Gastroenterology S, Odense University Hospital, 5000 Odense C, Denmark
- Research Unit of Medical Gastroenterology, Department of Clinical Research, University of Southern Denmark, 5000 Odense C, Denmark
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Zeng L, Yang K, Zhang T, Zhu X, Hao W, Chen H, Ge J. Research progress of single-cell transcriptome sequencing in autoimmune diseases and autoinflammatory disease: A review. J Autoimmun 2022; 133:102919. [PMID: 36242821 DOI: 10.1016/j.jaut.2022.102919] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 09/16/2022] [Accepted: 09/19/2022] [Indexed: 12/07/2022]
Abstract
Autoimmunity refers to the phenomenon that the body's immune system produces antibodies or sensitized lymphocytes to its own tissues to cause an immune response. Immune disorders caused by autoimmunity can mediate autoimmune diseases. Autoimmune diseases have complicated pathogenesis due to the many types of cells involved, and the mechanism is still unclear. The emergence of single-cell research technology can solve the problem that ordinary transcriptome technology cannot be accurate to cell type. It provides unbiased results through independent analysis of cells in tissues and provides more mRNA information for identifying cell subpopulations, which provides a novel approach to study disruption of immune tolerance and disturbance of pro-inflammatory pathways on a cellular basis. It may fundamentally change the understanding of molecular pathways in the pathogenesis of autoimmune diseases and develop targeted drugs. Single-cell transcriptome sequencing (scRNA-seq) has been widely applied in autoimmune diseases, which provides a powerful tool for demonstrating the cellular heterogeneity of tissues involved in various immune inflammations, identifying pathogenic cell populations, and revealing the mechanism of disease occurrence and development. This review describes the principles of scRNA-seq, introduces common sequencing platforms and practical procedures, and focuses on the progress of scRNA-seq in 41 autoimmune diseases, which include 9 systemic autoimmune diseases and autoinflammatory diseases (rheumatoid arthritis, systemic lupus erythematosus, etc.) and 32 organ-specific autoimmune diseases (5 Skin diseases, 3 Nervous system diseases, 4 Eye diseases, 2 Respiratory system diseases, 2 Circulatory system diseases, 6 Liver, Gallbladder and Pancreas diseases, 2 Gastrointestinal system diseases, 3 Muscle, Bones and joint diseases, 3 Urinary system diseases, 2 Reproductive system diseases). This review also prospects the molecular mechanism targets of autoimmune diseases from the multi-molecular level and multi-dimensional analysis combined with single-cell multi-omics sequencing technology (such as scRNA-seq, Single cell ATAC-seq and single cell immune group library sequencing), which provides a reference for further exploring the pathogenesis and marker screening of autoimmune diseases and autoimmune inflammatory diseases in the future.
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Affiliation(s)
- Liuting Zeng
- Department of Rheumatology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
| | - Kailin Yang
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Hunan University of Chinese Medicine, Changsha, China.
| | - Tianqing Zhang
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Hunan University of Chinese Medicine, Changsha, China
| | - Xiaofei Zhu
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Hunan University of Chinese Medicine, Changsha, China.
| | - Wensa Hao
- Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hua Chen
- Department of Rheumatology, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
| | - Jinwen Ge
- Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases, Hunan University of Chinese Medicine, Changsha, China; Hunan Academy of Chinese Medicine, Changsha, China.
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Zabana Y, Marín-Jiménez I, Rodríguez-Lago I, Vera I, Martín-Arranz MD, Guerra I, Gisbert JP, Mesonero F, Benítez O, Taxonera C, Ponferrada-Díaz Á, Piqueras M, Lucendo AJ, Caballol B, Mañosa M, Martínez-Montiel P, Bosca-Watts M, Gordillo J, Bujanda L, Manceñido N, Martínez-Pérez T, López A, Rodríguez-Gutiérrez C, García-López S, Vega P, Rivero M, Melcarne L, Calvo M, Iborra M, Barreiro de-Acosta M, Sicilia B, Barrio J, Pérez JL, Busquets D, Pérez-Martínez I, Navarro-Llavat M, Hernández V, Argüelles-Arias F, Ramírez Esteso F, Meijide S, Ramos L, Gomollón F, Muñoz F, Suris G, de Zarate JO, Huguet JM, Llaó J, García-Sepulcre MF, Sierra M, Durà M, Estrecha S, Fuentes Coronel A, Hinojosa E, Olivan L, Iglesias E, Gutiérrez A, Varela P, Rull N, Gilabert P, Hernández-Camba A, Brotons A, Ginard D, Sesé E, Carpio D, Aceituno M, Cabriada JL, González-Lama Y, Jiménez L, Chaparro M, López-San Román A, Alba C, Plaza-Santos R, Mena R, Tamarit-Sebastián S, Ricart E, Calafat M, Olivares S, Navarro P, Bertoletti F, Alonso-Galán H, Pajares R, Olcina P, Manzano P, Domènech E, Esteve M. Nationwide COVID-19-EII Study: Incidence, Environmental Risk Factors and Long-Term Follow-Up of Patients with Inflammatory Bowel Disease and COVID-19 of the ENEIDA Registry. J Clin Med 2022; 11:421. [PMID: 35054116 PMCID: PMC8781643 DOI: 10.3390/jcm11020421] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 12/23/2021] [Accepted: 01/06/2022] [Indexed: 02/04/2023] Open
Abstract
We aim to describe the incidence and source of contagion of COVID-19 in patients with IBD, as well as the risk factors for a severe course and long-term sequelae. This is a prospective observational study of IBD and COVID-19 included in the ENEIDA registry (53,682 from 73 centres) between March-July 2020 followed-up for 12 months. Results were compared with data of the general population (National Centre of Epidemiology and Catalonia). A total of 482 patients with COVID-19 were identified. Twenty-eight percent were infected in the work environment, and 48% were infected by intrafamilial transmission, despite having good adherence to lockdown. Thirty-five percent required hospitalization, 7.9% had severe COVID-19 and 3.7% died. Similar data were reported in the general population (hospitalisation 19.5%, ICU 2.1% and mortality 4.6%). Factors related to death and severe COVID-19 were being aged ≥ 60 years (OR 7.1, 95% CI: 1.8-27 and 4.5, 95% CI: 1.3-15.9), while having ≥2 comorbidities increased mortality (OR 3.9, 95% CI: 1.3-11.6). None of the drugs for IBD were related to severe COVID-19. Immunosuppression was definitively stopped in 1% of patients at 12 months. The prognosis of COVID-19 in IBD, even in immunosuppressed patients, is similar to that in the general population. Thus, there is no need for more strict protection measures in IBD.
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Affiliation(s)
- Yamile Zabana
- Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain; (O.B.); (M.A.); (P.M.); (M.E.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
| | | | - Iago Rodríguez-Lago
- Gastroenterology Department, Hospital Universitario de Galdakao, 48960 Galdakao, Spain; (I.R.-L.); (J.L.C.)
- Biocruces Bizkaia Health Research Institute, 48960 Galdakao, Spain
| | - Isabel Vera
- Hospital Universitario Puerta de Hierro, 28222 Majadahonda, Spain; (I.V.); (Y.G.-L.)
| | | | - Iván Guerra
- Hospital Universitario de Fuenlabrada, 28942 Fuenlabrada, Spain; (I.G.); (L.J.)
- Instituto de Investigación Hospital Universitario La Paz (IdiPaz), 28046 Madrid, Spain
| | - Javier P. Gisbert
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Department of Gastroenterology, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
- Instituto de Investigación Sanitaria Princesa (IIS-IP), 28006 Madrid, Spain
| | - Francisco Mesonero
- Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain; (F.M.); (A.L.-S.R.)
| | - Olga Benítez
- Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain; (O.B.); (M.A.); (P.M.); (M.E.)
| | - Carlos Taxonera
- Hospital Clínico San Carlos, 28040 Madrid, Spain; (C.T.); (C.A.)
- Instituto de Investigación del Hospital Clínico San Carlos [IdISSC], 28040 Madrid, Spain
| | | | - Marta Piqueras
- Consorci Sanitari de Terrassa, 08227 Terrassa, Spain; (M.P.); (R.M.)
| | - Alfredo J. Lucendo
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Instituto de Investigación Sanitaria Princesa (IIS-IP), 28006 Madrid, Spain
- Hospital General de Tomelloso, 13700 Tomelloso, Spain;
| | - Berta Caballol
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Clínic de Barcelona-IDIBAPS, 08036 Barcelona, Spain
| | - Míriam Mañosa
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
| | - Pilar Martínez-Montiel
- Fundación Hospital Universitario Doce de Octubre, 28041 Madrid, Spain; (P.M.-M.); (S.O.)
| | - Maia Bosca-Watts
- Hospital Clinic Universitari de Valencia, 46010 Valencia, Spain; (M.B.-W.); (P.N.)
| | - Jordi Gordillo
- Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (J.G.); (F.B.)
| | - Luis Bujanda
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Universitario Donostia, Instituto Biodonostia, 20014 San Sebastián, Spain;
- Universidad del País Vasco (UPV/EHU), 48940 Leioua, Spain
| | - Noemí Manceñido
- Hospital Universitario Infanta Sofía, 28703 San Sebastián de los Reyes, Spain; (N.M.); (R.P.)
| | | | - Alicia López
- Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Hospital del Mar, 08003 Barcelona, Spain;
| | | | | | - Pablo Vega
- Complexo Hospitalario Universitario de Ourense, 32005 Ourense, Spain;
| | - Montserrat Rivero
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Hospital Universitario Marqués de Valdecilla, 39008 Santander, Spain;
| | - Luigi Melcarne
- Hospital Universitari Parc Taulí, 08208 Sabadell, Spain;
| | - Maria Calvo
- Hospital San Pedro-Logroño, 26006 Logroño, Spain;
| | - Marisa Iborra
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Universitario y Politécnico de la Fe de Valencia, 46026 Valencia, Spain
| | | | | | - Jesús Barrio
- Hospital Universitario Río Hortega (HURH), 47012 Valladolid, Spain;
| | - José Lázaro Pérez
- Hospital Universitario Fundación de Alcorcón, 28922 Alcorcón, Spain;
| | - David Busquets
- Hospital Universitari de Girona Doctor Josep Trueta, 17007 Girona, Spain;
| | - Isabel Pérez-Martínez
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Hospital Universitario Central de Asturias, 33011 Oviedo, Spain;
| | | | | | | | | | - Susana Meijide
- Hospital Universitario de Cruces, 48903 Barakaldo, Spain;
| | - Laura Ramos
- Hospital Universitario de Canarias, 38320 San Cristobal de la Laguna, Spain;
| | - Fernando Gomollón
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Clínico Universitario “Lozano Blesa” and IIS Aragón, 50009 Zaragoza, Spain
| | - Fernando Muñoz
- Hospital Universitario de Salamanca, 37007 Salamanca, Spain;
| | - Gerard Suris
- Hospital Universitari de Bellvitge, 08907 L’Hospitalet de Llobregat, Spain;
| | | | - José María Huguet
- Consorcio Hospital General Universitario de Valencia, 46014 Valencia, Spain;
| | - Jordina Llaó
- Althaia Xarxa Assistencial Universitària de Manresa, 08243 Manresa, Spain;
| | | | - Mónica Sierra
- Complejo Asistencial Universitario de León, 24071 León, Spain;
| | - Miguel Durà
- Hospital Clínico de Valladolid, 47003 Valladolid, Spain;
| | | | | | | | | | - Eva Iglesias
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Hospital Universitario Reina Sofía de Córdoba, 14004 Cordoba, Spain;
| | - Ana Gutiérrez
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital General Universitario de Alicante, 03010 Alicante, Spain
| | - Pilar Varela
- Hospital Universitario de Cabueñes, 33394 Gijón, Spain;
| | - Núria Rull
- Hospital Universitario Son Llàtzer, 07198 Palma, Spain;
| | - Pau Gilabert
- Hospital de Viladecans, 08840 Viladecans, Spain;
| | | | | | - Daniel Ginard
- Hospital Universitario Son Espases, 07120 Palma, Spain;
| | - Eva Sesé
- Hospital Universitari Arnau de Vilanova de Lleida, 25198 Lleida, Spain;
| | - Daniel Carpio
- Complexo Hospitalario de Pontevedra, 36071 Pontevedra, Spain;
| | - Montserrat Aceituno
- Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain; (O.B.); (M.A.); (P.M.); (M.E.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
| | - José Luis Cabriada
- Gastroenterology Department, Hospital Universitario de Galdakao, 48960 Galdakao, Spain; (I.R.-L.); (J.L.C.)
- Biocruces Bizkaia Health Research Institute, 48960 Galdakao, Spain
| | - Yago González-Lama
- Hospital Universitario Puerta de Hierro, 28222 Majadahonda, Spain; (I.V.); (Y.G.-L.)
| | - Laura Jiménez
- Hospital Universitario de Fuenlabrada, 28942 Fuenlabrada, Spain; (I.G.); (L.J.)
- Instituto de Investigación Hospital Universitario La Paz (IdiPaz), 28046 Madrid, Spain
| | - María Chaparro
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Department of Gastroenterology, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), 28049 Madrid, Spain
- Instituto de Investigación Sanitaria Princesa (IIS-IP), 28006 Madrid, Spain
| | | | - Cristina Alba
- Hospital Clínico San Carlos, 28040 Madrid, Spain; (C.T.); (C.A.)
- Instituto de Investigación del Hospital Clínico San Carlos [IdISSC], 28040 Madrid, Spain
| | - Rocío Plaza-Santos
- Hospital Universitario Infanta Leonor, 28031 Madrid, Spain; (Á.P.-D.); (R.P.-S.)
| | - Raquel Mena
- Consorci Sanitari de Terrassa, 08227 Terrassa, Spain; (M.P.); (R.M.)
| | | | - Elena Ricart
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Clínic de Barcelona-IDIBAPS, 08036 Barcelona, Spain
| | - Margalida Calafat
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
| | - Sonsoles Olivares
- Fundación Hospital Universitario Doce de Octubre, 28041 Madrid, Spain; (P.M.-M.); (S.O.)
| | - Pablo Navarro
- Hospital Clinic Universitari de Valencia, 46010 Valencia, Spain; (M.B.-W.); (P.N.)
| | - Federico Bertoletti
- Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain; (J.G.); (F.B.)
| | - Horacio Alonso-Galán
- Hospital Universitario Donostia, Instituto Biodonostia, 20014 San Sebastián, Spain;
- Universidad del País Vasco (UPV/EHU), 48940 Leioua, Spain
| | - Ramón Pajares
- Hospital Universitario Infanta Sofía, 28703 San Sebastián de los Reyes, Spain; (N.M.); (R.P.)
| | - Pablo Olcina
- Hospital Virgen de la Luz, 16002 Cuenca, Spain; (T.M.-P.); (P.O.)
| | - Pamela Manzano
- Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain; (O.B.); (M.A.); (P.M.); (M.E.)
| | - Eugeni Domènech
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
- Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain
| | - Maria Esteve
- Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain; (O.B.); (M.A.); (P.M.); (M.E.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain; (J.P.G.); (A.J.L.); (B.C.); (M.M.); (L.B.); (M.I.); (F.G.); (A.G.); (M.C.); (E.R.); (M.C.); (E.D.)
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