The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study
BackgroundLong COVID is a clinical entity characterized by persistent health problems or development of new diseases, without an alternative diagnosis, following SARS-CoV-2 infection that affects a significant proportion of individuals globally. It can manifest with a wide range of symptoms due to d...
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| Format: | Article |
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1303183/full |
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| author | Pooja U. Shenoy Hrushikesh Udupa Jyothika KS Sangeetha Babu Nikshita K Neha Jain Ranajit Das Priyanka Upadhyai |
| author_facet | Pooja U. Shenoy Hrushikesh Udupa Jyothika KS Sangeetha Babu Nikshita K Neha Jain Ranajit Das Priyanka Upadhyai |
| author_sort | Pooja U. Shenoy |
| collection | DOAJ |
| description | BackgroundLong COVID is a clinical entity characterized by persistent health problems or development of new diseases, without an alternative diagnosis, following SARS-CoV-2 infection that affects a significant proportion of individuals globally. It can manifest with a wide range of symptoms due to dysfunction of multiple organ systems including but not limited to cardiovascular, hematologic, neurological, gastrointestinal, and renal organs, revealed by observational studies. However, a causal association between the genetic predisposition to COVID-19 and many post-infective abnormalities in long COVID remain unclear.MethodsHere we employed Mendelian randomization (MR), a robust genetic epidemiological approach, to investigate the potential causal associations between genetic predisposition to COVID-19 and long COVID symptoms, namely pulmonary (pneumonia and airway infections including bronchitis, emphysema, asthma, and rhinitis), neurological (headache, depression, and Parkinson’s disease), cardiac (heart failure and chest pain) diseases, and chronic fatigue. Using two-sample MR, we leveraged genetic data from a large COVID-19 genome-wide association study and various disorder-specific datasets.ResultsThis analysis revealed that a genetic predisposition to COVID-19 was significantly causally linked to an increased risk of developing pneumonia, airway infections, headache, and heart failure. It also showed a strong positive correlation with chronic fatigue, a frequently observed symptom in long COVID patients. However, our findings on Parkinson’s disease, depression, and chest pain were inconclusive.ConclusionOverall, these findings provide valuable insights into the genetic underpinnings of long COVID and its diverse range of symptoms. Understanding these causal associations may aid in better management and treatment of long COVID patients, thereby alleviating the substantial burden it poses on global health and socioeconomic systems. |
| first_indexed | 2024-03-08T03:21:44Z |
| format | Article |
| id | doaj.art-78d71d05b3f14be9b1ac49db448ad907 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-03-08T03:21:44Z |
| publishDate | 2023-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-78d71d05b3f14be9b1ac49db448ad9072024-02-12T09:03:30ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-12-011110.3389/fpubh.2023.13031831303183The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization studyPooja U. Shenoy0Hrushikesh Udupa1Jyothika KS2Sangeetha Babu3Nikshita K4Neha Jain5Ranajit Das6Priyanka Upadhyai7Division of Data Analytics, Bioinformatics and Structural Biology, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, IndiaDepartment of Community Medicine, Yenepoya Medical College and Hospital, Yenepoya (Deemed to be University), Mangalore, IndiaDepartment of Statistics, Yenepoya (Deemed to be University), Mangalore, IndiaDepartment of Statistics, Yenepoya (Deemed to be University), Mangalore, IndiaDepartment of Statistics, Yenepoya (Deemed to be University), Mangalore, IndiaDepartment of Statistics, Yenepoya (Deemed to be University), Mangalore, IndiaDivision of Data Analytics, Bioinformatics and Structural Biology, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, IndiaDepartment of Medical Genetics, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, IndiaBackgroundLong COVID is a clinical entity characterized by persistent health problems or development of new diseases, without an alternative diagnosis, following SARS-CoV-2 infection that affects a significant proportion of individuals globally. It can manifest with a wide range of symptoms due to dysfunction of multiple organ systems including but not limited to cardiovascular, hematologic, neurological, gastrointestinal, and renal organs, revealed by observational studies. However, a causal association between the genetic predisposition to COVID-19 and many post-infective abnormalities in long COVID remain unclear.MethodsHere we employed Mendelian randomization (MR), a robust genetic epidemiological approach, to investigate the potential causal associations between genetic predisposition to COVID-19 and long COVID symptoms, namely pulmonary (pneumonia and airway infections including bronchitis, emphysema, asthma, and rhinitis), neurological (headache, depression, and Parkinson’s disease), cardiac (heart failure and chest pain) diseases, and chronic fatigue. Using two-sample MR, we leveraged genetic data from a large COVID-19 genome-wide association study and various disorder-specific datasets.ResultsThis analysis revealed that a genetic predisposition to COVID-19 was significantly causally linked to an increased risk of developing pneumonia, airway infections, headache, and heart failure. It also showed a strong positive correlation with chronic fatigue, a frequently observed symptom in long COVID patients. However, our findings on Parkinson’s disease, depression, and chest pain were inconclusive.ConclusionOverall, these findings provide valuable insights into the genetic underpinnings of long COVID and its diverse range of symptoms. Understanding these causal associations may aid in better management and treatment of long COVID patients, thereby alleviating the substantial burden it poses on global health and socioeconomic systems.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1303183/fulllong COVIDMendelian randomizationCOVID-induced neurological disordersCOVID-induced fatigueCOVID-induced cardiac disease |
| spellingShingle | Pooja U. Shenoy Hrushikesh Udupa Jyothika KS Sangeetha Babu Nikshita K Neha Jain Ranajit Das Priyanka Upadhyai The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study Frontiers in Public Health long COVID Mendelian randomization COVID-induced neurological disorders COVID-induced fatigue COVID-induced cardiac disease |
| title | The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study |
| title_full | The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study |
| title_fullStr | The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study |
| title_full_unstemmed | The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study |
| title_short | The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study |
| title_sort | impact of covid 19 on pulmonary neurological and cardiac outcomes evidence from a mendelian randomization study |
| topic | long COVID Mendelian randomization COVID-induced neurological disorders COVID-induced fatigue COVID-induced cardiac disease |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1303183/full |
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