| Literature DB >> 34739678 |
Mohammad Fakhrolmobasheri1, Sadegh Mazaheri-Tehrani2, Marek Kieliszek3, Mehrdad Zeinalian4, Mehdi Abbasi5, Fateme Karimi6, Amir Mohamad Mozafari7.
Abstract
Several studies have indicated that selenium deficiency may be detrimental in the context of various viral disorders, and in the case of COVID-19, several studies have reported heterogeneous results concerning the association of selenium deficiency with the severity of disease. To summarize the available data surrounding the association of body selenium levels with the outcomes of COVID-19, a systematic search was performed in the Medline database (PubMed), Scopus, Cochrane Library, Embase, and Web of Science using keywords including "SARS-CoV-2," "COVID-19," and "selenium," Studies evaluating the association of COVID-19 with body selenium levels were included. Among 1,862 articles viewed in the database search, 10 articles were included after title, abstract, and full-text review. One study was further included after searching the literature again for any newly published articles. Out of 11 included studies, 10 studies measured serum selenium level, and one study investigated urinary selenium level. Three of 10 studies measured serum SELENOP level as well as selenium level. Glutathione peroxidase-3 level in serum was also assessed in one study. The reported outcomes were severity, mortality, and risk of COVID-19. Nine studies indicated that a lower serum selenium level is associated with worse outcomes. Two studies reported no significant association between serum selenium level and COVID-19. In one study, urinary selenium level was reported to be higher in severe and fatal cases compared to non-severe and recovered patients, respectively. In most cases, selenium deficiency was associated with worse outcomes, and selenium levels in COVID-19 patients were lower than in healthy individuals. Thus, it could be concluded that cautious selenium supplementation in COVID-19 patients may be helpful to prevent disease progression. However, randomized clinical trials are needed to confirm this.Entities:
Keywords: COVID-19; Micronutrients; Oxidative stress; SARS-CoV-2; Selenium; Trace elements
Mesh:
Substances:
Year: 2021 PMID: 34739678 PMCID: PMC8569840 DOI: 10.1007/s12011-021-02997-4
Source DB: PubMed Journal: Biol Trace Elem Res ISSN: 0163-4984 Impact factor: 4.081
Fig. 1PRISMA flow diagram of the study selection
Qualification assessment of included articles
| Variables | Alkattan et al. 2021 [ | Heller et al. 2020 [ | Im et al. 2020 [ | Majeed et al. 2021 [ | Moghaddam et al. 2020 [ | Muhammad et al. 2021 [ | Pincemail et al. 2021 [ | Skalny et al. 2021 [ | Erol et al. 2021 [ | Zeng et al. 2021 [ | Hackler et al. 2021 [ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Title/abstract | Title/abstract | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Introduction | Background | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Objectives | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Method | Design | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Setting | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Participants | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Variables | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Measurement | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Bias | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
| Study size | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Quantitative variables | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | |
| Statistical methods | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Result | Participants | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Descriptive data | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Outcome data | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Main results | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Other analyses | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Discussion | Key results | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Limitations | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | |
| Interpretation | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |
| Generalizability | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | |
| Other | Funding | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Total | Score out of 22 | 16 | 18 | 18 | 17 | 19 | 19 | 20 | 18 | 19 | 20 | 17 |
Summary of studies assessing selenium level in COVID-19 patients
| Author | Date | Country | Design | Sample | Participants | Age1 (year) | Male (%) | Selenium1 (ng/mL) | Se normal range | Outcome |
|---|---|---|---|---|---|---|---|---|---|---|
| Alkattan et al. 2021 [ | January 2021 | Saudi Arabia | Cross-sectional | Blood | 80 COVID-19 patients (severe = 35, non-severe = 45) | 51.54 | 64.9% | Severe = 162, non-severe = 134, all cases = 138 | 70–150 | Se level was significantly more in severe cases ( |
| Heller et al. 2020 [ | October 2020 | Germany | Cross-sectional | Blood | 35 COVID-19 patients (discharge = 29, death = 6) | 77 ± 41.48 | 46% | N/A | N/A | Se and SELENOP was significantly increase in discharges during hospitalization unlike deaths |
| Im et al. 2020 [ | August 2020 | South Korea | Cross-sectional | Blood | 50 hospitalized COVID-19 patients | 57.5 ± 24.81 | 58% | 98.3 ± 12.81 | More than 95 | Se deficiencies increases severity and mortality |
| Majeed et al. 2021 [ | November 2020 | India | Cross-sectional | Blood | 30 COVID-19 & 30 healthy individuals | 37 | 63.3% | Control = 79.09 ± 10.9, patients = 69.26 ± 8.78 | 70–150 | Se level was significantly lower in patients ( |
| 14 healthy & 24 COVID-19 individuals | N/A | 100% | Control = 79.4 ± 9.2, patients = 68.4 ± 8.9 | 70–150 | Se level was significantly lower in patients ( | |||||
| 16 healthy & 6 COVID-19 individuals | N/A | 0% | Control = 79.5 ± 12.5, patients = 74.9 ± 5.9 | 70–150 | No significant difference | |||||
| Moghaddam et al. 2020 [ | July 2020 | Germany | Cross-sectional | Blood | 33 COVID-19 patients (discharge = 27, death = 6) | 77 ± 41.48 | 42% | Selenium (discharge = 53.3 ± 16.2, death = 40.8 ± 8.1)/SELENOP [mg/L] (discharge = 3.3 ± 1.3, death = 2.1 ± 0.9)/GPx3[U/L] (discharge = 251.6 ± 69.6, death = 224.8 ± 30.3) | 45.5–131.6 | Se and SELENOP level was significantly lower in deaths ( GPx3 was significantly lower in deaths ( |
| Muhammad et al. 2021 [ | January 2021 | Nigeria | Cross-sectional | Blood | 50 COVID-19 & 21 healthy individuals | 41.43 | 64.8% | Control = 29.1 ± 1.9 ng/dL, patients = 25.3 ± 2.4 ng/dL | N/A | Se level was significantly lower in patients ( |
| Pincemail et al. 2021 [ | February 2021 | Belgium | Cross-sectional | Blood | 9 COVID-19 (6 long stayers & 3 short stayers) | 64 ± 13.33 | 88.8% | Long stayers = 97 ± 7.75, short stayers = 51 ± 9.75, all cases = 74 ± 11 | 73–110 | Se level was significantly lower in short stayers ( |
| Skalny et al. 2021 [ | April 2021 | Russia | Cohort (prospective) | Blood | 43 healthy & 150 COVID-19 (mild = 50, moderate = 50, severe = 50) | 56.2 | 56% | Control = 102 ± 16, mild = 93 ± 20, moderate = 90 ± 22, severe = 87 ± 31 | N/A | Se level was significantly lower in moderate ( |
| Erol et al. 2021 [ | May 2021 | Turkey | Cross-sectional | Blood | 26 healthy & 24 COVID-19 pregnant women in the 1st trimester | 27.31 | 0% | Control = 44.59 ± 8.4, patients = 46.52 ± 8.17 | N/A | No significant difference |
| 22 healthy & 26 COVID-19 pregnant women in 2nd Trimester | 28.97 | 0% | Control = 46.15 ± 8.15, patients = 36.03 ± 9.86 | N/A | Se level was significantly lower in patients ( | |||||
| 22 healthy & 21 COVID-19 pregnant women in the 3rd trimester | 27.59 | 0% | Control = 36.15 ± 6.25, patients = 27.01 ± 7.82 | N/A | Se level was significantly lower in patients ( | |||||
| Zeng et al. 2021 [ | December 2020 | China | Cohort (retrospective) | Urine | 138 hospitalized COVID-19 (severe = 68, non-severe = 70) | 61.5 ± 9.6 | 57.2% | Severe = 45.63 ± 29.51 μg/g, non-severe = 27.65 ± 9.97 μg/g | 15.86–38.13 μg/g | Se urinary level was significantly higher in severe cases ( |
| 138 hospitalized COVID-19 (severe = 68, non-severe = 70) | 61.5 ± 9.6 | 57.2% | Severe = 20.27 ± 16.15 μg/L, non-severe = 25.55 ± 13.78 μg/L | 10.46–82.71 μg/L | Se urinary level was significantly lower in severe cases ( | |||||
| 138 hospitalized COVID-19 (discharge = 117, death = 21) | N/A | N/A | Discharge = 40.56 ± 22.89 μg/g, death = 66.75 ± 56.84 μg/g | 15.86–38.13 μg/g | Se urinary level was significantly higher in deaths ( | |||||
| 138 hospitalized COVID-19 (discharge = 117, death = 21) | N/A | N/A | Discharge = 19.95 ± 16.4 μg/L, death = 25.5 ± 18.36 μg/L | 10.46–82.71 μg/g | No significant difference ( | |||||
| Hackler et al. 2021 [ | May 2021 | Germany | Cross-sectional | Blood | 35 hospitalized COVID-19 (discharge = 28, death = 7) | 77 ± 41.48 | 42.9% | N/A | N/A | Se and SELENOP was significantly increase in discharges during hospitalization unlike deaths |
Abbreviations: Se, selenium; SELENOP, selenoprotein P; GPx3, glutathione peroxidase 3
1Values are mean ± SD