| Literature DB >> 34887628 |
Jaime García-Mena1, Karina Corona-Cervantes2, Daniel Cuervo-Zanatta3, Tizziani Benitez-Guerrero2, Juan Manuel Vélez-Ixta2, Norma Gabriela Zavala-Torres2, Loan Edel Villalobos-Flores2, Fernando Hernández-Quiroz2, Claudia Perez-Cruz4, Selvasankar Murugesan5, Fernando Guadalupe Bastida-González6, Paola Berenice Zárate-Segura7.
Abstract
Coronavirus disease 2019 (COVID-19) is a disease produced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and it is currently causing a catastrophic pandemic affecting humans worldwide. This disease has been lethal for approximately 3.12 million people around the world since January 2020. Globally, among the most affected countries, Mexico ranks third in deaths after the United States of America and Brazil. Although the high number of deceased people might also be explained by social aspects and lifestyle customs in Mexico, there is a relationship between this high proportion of deaths and comorbidities such as high blood pressure (HBP), type 2 diabetes, obesity, and metabolic syndrome. The official epidemiological figures reported by the Mexican government have indicated that 18.4% of the population suffers from HBP, close to 10.3% of adults suffer from type 2 diabetes, and approximately 36.1% of the population suffers from obesity. Disbalances in the gut microbiota (GM) have been associated with these diseases and with COVID-19 severity, presumably due to inflammatory dysfunction. Recent data about the association between GM dysbiosis and metabolic diseases could suggest that the high levels of susceptibility to SARS-CoV-2 infection and COVID-19 morbidity in the Mexican population are primarily due to the prevalence of type 2 diabetes, obesity, and metabolic syndrome. ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.Entities:
Keywords: COVID-19; Gut microbiota; High blood pressure; Hypertension; Immunity; Metabolic syndrome; Obesity; SARS-CoV-2; Type 2 diabetes
Mesh:
Year: 2021 PMID: 34887628 PMCID: PMC8613652 DOI: 10.3748/wjg.v27.i41.7065
Source DB: PubMed Journal: World J Gastroenterol ISSN: 1007-9327 Impact factor: 5.742
Coronavirus disease 2019 reported cases and deaths
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| United States | 32152531 | 9795 | 573044 | 175 |
| Brazil | 14369423 | 6809 | 391936 | 186 |
| Mexico | 2329534 | 1826 | 215113 | 169 |
| India | 17636307 | 1291 | 197894 | 14 |
| United Kingdom | 4409635 | 6598 | 127451 | 191 |
The figures are based on data from the Johns Hopkins University Center for Systems Science and Engineering, accessed 2021-04-27 (https://coronavirus.jhu.edu/map.html).
High abundance bacterial taxa characterizing the gut microbiota dysbiosis of selected diseases
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| Mexico | ED | f_Veillonellaceae, f_ S24-7, g_ | MaAsLin | Nirmalkar |
| T2DM | o_Bacteroidales, f_Koribacteraceae, g_ | LEfSe | Chávez-Carbajal | |
| OB | f_ S24-7, g_ | LEfSe | Chávez-Carbajal | |
| g_ | UPGMA | Murugesan | ||
| MetS | g_ | LEfSe | Chávez-Carbajal | |
| United States | HBP | g_Dorea, s_Alistipes finegoldii, s_A. indistinctus. | LEfSe | Kim |
| ED |
| Pearson’s correlation | Johnson | |
| o_Bacteroidales, f_ Prevotellaceae, g_ | Mann Whitney U | Kummen | ||
| T2DM | g_ | Mann-Whitney nonparametric test | Barengolts | |
| OB | c_Bacilli, f_Streptococcaceae, f_Lactobacillaceae, g_ | Kruskal-Wallis | Peters | |
| f_Ruminococcacea, g_ | LEfSe | Sergeev | ||
| MetS | g_Ruminococcus, g_Haemophilus, g_Varibaculum, g_Veillonella, g_Sarcina, g_Lactobacillus, g_Turicibacter, g_Actinomyces, g_Bifidobacterium, g_Lachnobacterium. | Correlations | Tricò | |
| g_Clostridium, g_Ruminococcus, g_Faecalibacterium, g_Oscillospira, g_Coprococcus, g_Prevotella. | Compute core microbiome (95%) | Zupancic | ||
| Brazil | ED | f_Lachnospiraceae g_ | Mann–Whitney U | Silveira-Nunes |
| T2DM | g_ | Relative Abundance | Al Assal | |
| OB | g_ | FISH | Sarmiento | |
| MetS | p_Firmicutes | RT-qPCR | Miranda |
ED: Endothelial dysfunction; T2DM: Type 2 diabetes; OB: Obesity; MetS: Metabolic syndrome; UPGMA: Unweighted pair group method with arithmetic mean; FISH: Fluorescence in situ hybridization.
Taxa associated with immunological or inflammatory diseases
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| s_ | Crohn’s disease | Henke |
| Rheumatoid arthritis | Zhang | |
| s_ | Inflammatory bowel disease | Forbes |
| g_ | Multiple sclerosis | Cantarel |
| Psoriasis | Zhang | |
| Inflammatory bowel disease | Gevers | |
| f_Veillonellaceae | Multiple sclerosis | Cantarel |
| g_ | Anti-phospholipid syndrome | Ruff |
| g_ | Increased risk of HIV infection | Libertucci and Young[ |
| g_ | Acute Kawasaki disease | Chen |
| g_ | Psoriasis | Zhang |
| Systemic lupus erythematosus | Hevia | |
| g_ | Arthritis susceptibility | Xu |
| f_S24-7 | Reduction in antibody response | Yang |
| g_ | Reduction in antibody response. Inflammatory bowel disease | Yang |
| g_ | ||
| g_ | ||
| g_ | Asthma | Stiemsma |
| g_ | Colitis | Guerri |
| Rheumatoid arthritis | Forbes | |
| g_ | Rheumatoid arthritis | Forbes |
| g_ | Rheumatoid arthritis | Alpizar-Rodriguez[ |
| g_ | Rheumatoid arthritis. Allergic rhinitis, Asthma | Maeda and Takeda[ |
| Chua | ||
| f_Lachnospiraceae | Rheumatoid arthritis | Forbes |
| Asthma | Cherkasov | |
| f_Veillonellaceae | Autoimmune hepatitis | Wei |
| g_ | Multiple sclerosis | Chen |
| g_ | Multiple sclerosis | Chen |
| g_ | ||
| g_ | ||
| g_ | Allergies | Hua |
| g_ | ||
| g_ | ||
| o_Bacteroidales |
HIV: Human immunodeficiency virus.