| Literature DB >> 35624818 |
Marko Ercegovac1,2, Milika Asanin1,3, Ana Savic-Radojevic1,4, Jovan Ranin1,5, Marija Matic1,4, Tatjana Djukic1,4, Vesna Coric1,4, Djurdja Jerotic1,4, Nevena Todorovic5, Ivana Milosevic1,5, Goran Stevanovic1,5, Tatjana Simic1,4,6, Zoran Bukumiric1,7, Marija Pljesa-Ercegovac1,4.
Abstract
Understanding the sequelae of COVID-19 is of utmost importance. Neuroinflammation and disturbed redox homeostasis are suggested as prevailing underlying mechanisms in neurological sequelae propagation in long-COVID. We aimed to investigate whether variations in antioxidant genetic profile might be associated with neurological sequelae in long-COVID. Neurological examination and antioxidant genetic profile (SOD2, GPXs and GSTs) determination, as well as, genotype analysis of Nrf2 and ACE2, were conducted on 167 COVID-19 patients. Polymorphisms were determined by the appropriate PCR methods. Only polymorphisms in GSTP1AB and GSTO1 were independently associated with long-COVID manifestations. Indeed, individuals carrying GSTP1 Val or GSTO1 Asp allele exhibited lower odds of long-COVID myalgia development, both independently and in combination. Furthermore, the combined presence of GSTP1 Ile and GSTO1 Ala alleles exhibited cumulative risk regarding long-COVID myalgia in carriers of the combined GPX1 LeuLeu/GPX3 CC genotype. Moreover, individuals carrying combined GSTM1-null/GPX1LeuLeu genotype were more prone to developing long-COVID "brain fog", while this probability further enlarged if the Nrf2 A allele was also present. The fact that certain genetic variants of antioxidant enzymes, independently or in combination, affect the probability of long-COVID manifestations, further emphasizes the involvement of genetic susceptibility when SARS-CoV-2 infection is initiated in the host cells, and also months after.Entities:
Keywords: antioxidant enzymes; glutathione transferases; long-COVID; neurological manifestations; polymorphisms
Year: 2022 PMID: 35624818 PMCID: PMC9138155 DOI: 10.3390/antiox11050954
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Clinical characteristics of COVID-19 patients.
| COVID-19 Patients | |
|---|---|
| 55.9 ± 12.3 | |
| Male | 100 (60) |
| Female | 67 (40) |
| 29.0 ± 5.0 | |
| Never | 84 (53) |
| Former | 57 (36) |
| Ever | 17 (11) |
| No | 109 (65) |
| Yes | 58 (35) |
| No | 149 (89) |
| Yes | 18 (11) |
| No | 23 (14) |
| Yes | 144 (86) |
| No | 85 (51) |
| Yes | 82 (49) |
| No | 24 (14) |
| Yes | 143 (86) |
| No | 17 (10) |
| Yes | 150 (90) |
| No | 103 (62) |
| Yes | 64 (38) |
a Values are presented as mean ± SD; BMI, body mass index.
Neurological manifestations in acute COVID-19.
| ACUTE COVID-19 | COVID-19 Patients |
|---|---|
| No | 115 (69) |
| Yes | 52 (31) |
| No | 119 (71) |
| Yes | 48 (29) |
| No | 94 (56) |
| Yes | 73 (44) |
| No | 16 (10) |
| Yes | 151 (90) |
| No | 15 (9) |
| Yes | 152 (91) |
| No | 91 (54) |
| Yes | 76 (46) |
| No | 101 (60) |
| Yes | 66 (40) |
Neurological manifestations in long-COVID.
| LONG-COVID | COVID-19 Patients |
|---|---|
| No | 33 (20) |
| Yes | 134 (80) |
| No | 121 (72) |
| Yes | 46 (28) |
| No | 146 (87) |
| Yes | 21 (13) |
| No | 152 (91) |
| Yes | 15 (9) |
| No | 150 (90) |
| Yes | 17 (10) |
Distribution of analyzed genotypes in COVID-19 patients.
| Variants | Genotype, | Variants | Genotype, |
|---|---|---|---|
|
|
| ||
|
| 65 (39) |
| 131 (79) |
|
| 100 (61) |
| 34 (21) |
|
|
| ||
|
| 61 (37) |
| 52 (37) |
|
| 51 (31) |
| 66 (46) |
|
| 53 (32) |
| 24 (17) |
|
|
| ||
|
| 82 (49) |
| 129 (78) |
|
| 66 (40) |
| 36 (21) |
|
| 18 (11) |
| 1 (1) |
|
|
| ||
|
| 79 (48) |
| 79 (47) |
|
| 48 (29) |
| 46 (28) |
|
| 38 (23) |
| 41 (25) |
|
|
| ||
|
| 124 (75) |
| 39 (23) |
|
| 38 (23) |
| 89 (54) |
|
| 3 (2) |
| 39 (23) |
|
|
| ||
|
| 75 (45) |
| 126 (75) |
|
| 71 (43) |
| 39 (24) |
|
| 20 (12) |
| 2 (1) |
|
|
| ||
|
| 154 (94) |
| 37 (23) |
|
| 9 (5) |
| 126 (77) |
|
| 1 (1) |
| 0 (0) |
Active, if at least one active allele present; Null if no active alleles present.
Figure 1(A) The frequency of acute COVID-19 manifestations in population of patients without and with long- COVID fatigue. (B) The frequency of acute COVID-19 manifestations in population of patients without and with long-COVID myalgia. (C) The frequency of acute COVID-19 manifestations in population of patients without and with long-COVID “brain fog”.
Figure 2(A). The association of genetic variations and long-COVID fatigue. (B) The association of genetic variations and long-COVID myalgia. (C). The association of genetic variations and long-COVID “brain fog”.