Abstract
Objectives: The relationship between immunity and trace elements levels is well known. We aimed to estimate the association of serum trace elements with severity and outcomes in the Coronavirus Disease-2019 (COVID-19) patients.
Methods: In this single-centered, prospective, observational study, we enrolled 114 patients admitted to severe intensive care units (ICUs) and corresponding 112 sex and aged-matched non-ICU ward patients. Demographic data, clinical characteristics, and outcomes were all collected. We analyzed serum levels of zinc (Zn), copper (Cu), selenium (Se), and manganese (Mn) in both severity groups.
Results: The serum levels of Cu, Se, and Mn in both groups were within the normal range while Zn serum levels were lower than normal values. Based on these findings, Zn, Cu, Se, and Mn serum levels were not associated with disease severity (P > 0.05), while we found Zn serum levels were strongly associated with patient outcomes (P = 0.005). Our results indicated lower Mn serum levels were associated with age more than 55 years (P= 0.006). Our results were not in favor of a causal relationship between serum trace elements levels and disease severity.
Conclusion: We found Zn level to be a strong indicator for patients’ outcomes that can be considered for monitoring patient prognosis. Nutritional measures or supplementation can help reduce poor outcomes caused by low Zn levels in Iranian COVID-19 patients.
Keywords: COVID-19, Trace Elements, Zinc, Micronutrient, Iran
Introduction
Human beings have experienced three major epidemics caused by coronaviruses including Severe Acute Respiratory Syndrome (SARS-2003), Middle East Respiratory Syndrome (MERS-2012), and Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV 2), which has infected more than 155 million, killing over 3.2 million people globally as of May 5, 2020 (Morfeld et al., 2021, Organization, 2020). COVID-19 first appeared in December 2019 in Wuhan, China, and is now considered a public health emergency of international concern. SARS-CoV-2 genome consists of a positive-sense single-stranded RNA virus linked with a nucleoprotein inside a capsid containing matrix protein as well as a hemagglutinin-esterase (HE) protein found on some coronaviruses (Jiang et al., 2020, Khaerunnisa et al., 2020, Organization., 2020, Wu et al., 2020). The clinical manifestations of the disease usually include fever, headache, cough, gastrointestinal manifestations such as diarrhea, vomiting, and abdominal pain, and dyspnea. The acute coronavirus infectious disease is characterized by pneumonia, lymphocytopenia, exhaustion of lymphocytes, and cytokine storm syndrome in severe forms of COVID-19 that is manifested with increased plasma levels of cytokines (IL2, IL7, and IL10), granulocyte colony-stimulating factor (G-SCF), 10 kD interferon-gamma-induced protein (IP10), monocyte chemoattractant protein-1 (MCP1), macrophage inflammatory protein 1-α (MIP1A), and interferon-alpha (TNF-α) (Dietz and Santos-Burgoa, 2020, Kong et al., 2020, Wong et al., 2020).
Several micronutrients including vitamins and trace elements are required for the normal functioning of the immune system to protect the cells from oxidative stress (Lee et al., 2019). The major trace elements viz selenium (Se), zinc (Zn), copper (Cu), and manganese (Mn) holding immunomodulatory effects are components of antioxidant enzymes that can inhibit viral replication in the host cells and therefore have antiviral activity (Chaturvedi et al., 2004, (Jayawardena et al., 2020). Unbalanced dietary habits may predispose individuals to viruses and other infections (Thurnham, 1997). Maintaining adequate micronutrient balance may boost the host's immune response and protect him/her against viral infections (Razzaque, 2020). Assessing trace elements levels in COVID-19 patients can provide a more robust and comprehensive approach for combating this devastating disease.
Materials and Methods
Patients
This prospective, cohort, observational study was conducted at Imam Reza hospital of Tabriz University of Medical Sciences, Tabriz, Iran. A total of 226 COVID-19 patients, confirmed by the nasopharyngeal swab tested with reverse transcription polymerase chain reaction (admitted from October 10 to December 10, 2020), were enrolled in the study. Pregnant patients and patients taking any form of dietary supplements/multivitamins or trace elements were excluded from the study. Patients were categorized into two groups: severe and non-severe patients based on the intensive care unit (ICU) and non-ICU ward hospitalization. Each severity group was individually matched for age and sex. This study was approved by the Ethics Committee of Tabriz University of Medical Sciences, Iran (Ref No: IR.TBZMED.REC.1399.711). All the procedures involving human samples conformed to the principles outlined in the Declaration of Helsinki. Participation was voluntary, and written informed consent was obtained from all patients or their legal guardians.
Blood collection and trance elements measurement
Eight milliliters of blood were collected from each participant. After centrifugation for 10 min at 3000 g, 4 mL serum was obtained. Two mL of serum was used for determining Se and Mn concentrations, and the remaining 2 mL was used for Zn and Cu measurement. All necessary precautions were taken in the handling of the specimens collected as per standard laboratory guidelines considering COVID-19 complications. We measured serum Zn and Cu by Randox colorimetric assays (Randox Laboratories Ltd., Crumlin, UK). The reference range for serum Cu was 70-140 μg/dL, and for Zn was 72.6-127 μg/dL in men and 77.0-114 μg/dL in women according to the kit instruction manual. Serum Se and Mn concentrations were determined by graphite furnace atomic absorption spectrophotometry (GFAAS), which is a type of atomic spectroscopic technique as described (Krawczyk-Coda, 2019). Serum levels ranging from 0.6 to 4.3 μg/L were considered normal reference values for Mn (Flora, 2014). Regarding Se, normal reference values were considered to be 70 to 150 μg/L, the most reference values given in the literature.
Statistical analysis
Statistical analysis was performed using IBM SPSS version 21.0 (IBM SPSS Statistics, ARMONK, New York, USA). Data were expressed as mean ± standard deviation (SD) for continuous variables or numbers, whereas categorical variables were described as their respective percentages. The difference in serum trace elements levels between subgroups was analyzed using one-way analysis of variance (ANOVA) and unpaired t-tests. Moreover, Pearson's chi-squared test was used to analyze the significance of association between categorical variables. A P value < 0.05 was considered statistically significant.
Results
The demographic and clinical characteristics of the participants are presented in Table 1 . The mean ages of patients in ICU and non-ICU ward groups were 56 ± 20.6 and 56.7 ± 16.3 years, respectively. Comparison of major symptoms between ICU and non-ICU ward patients showed no significance except for chest pain, fever, and lower chest wall indrawing (< 0.05). Five patients in the non-ICU ward group had conjunctivitis. Moreover, none of the patients with COVID-19 showed skin rash or ulcers, lymphadenopathy, or hemorrhage. In comparison with non-ICU ward patients, the ICU cases had elevated heart rate (94.62 ± 1.58 vs. 87.88 ± 1.57) with low oxygen saturation level (76.05 ± 1.08 vs. 81.7 ± 0.88) that was significant (P < 0.05). The difference between the two severity groups for the remaining cardiovascular parameters was not statistically significant. The ICU cases also showed a significantly higher frequency of obesity (9 (81.81%) vs. 2 (18.18%), P= 0.049) and dementia (20 (76.92%) vs. 6 (23.07%), P= 0.005). Other comorbidities among both severity groups were not significant. The serum levels of trace elements in patients are presented in Table 2 . Cu and Zn levels were found to be 95.74 ± 1.25 and 67.87 ± 1.12 μg/dL, respectively. Se and Mn levels were reported 126.61 ± 2.05 and 2.58 ± 0.069 μg/L, respectively. Our findings indicated that in ICU patients compared to non-ICU ward patients, serum Zn levels (67.3 ± 1.79 vs. 68.42 ± 1.35, P= 0.619) and Cu levels (94.58 ± 1.97 vs. 96.88 ± 1.57, P= 0.362) were low though the difference was not significant. The serum values for Se and Mn in both groups were reported as 130.19 ± 3.19 versus 123.06 ± 2.58 (P= 0.084) and 2.68 ± 0.11 versus 2.49 ± 0.08 (P= 0.167), respectively, but the difference was not significant. According to our data, low Zn levels (69.66 ± 1.34 vs. 62.43 ± 1.81, P= 0.005) were found to be associated with death among COVID-19 patients (Table 3 ). Cu, Se, and Mn values were not associated with patient outcomes (Table 3). During this study, 170 (75.22%) patients were discharged from the hospital and 56 (24.78%) patients died. Of the 56 deaths, 27 (48.2%) were female and 29 (51.8%) were male. Regarding the association of trace elements with age variable, a significant difference was found in Mn levels of patients aged <55 and >55 years (2.80 ± 1.11 vs. 2.38 ± 90, P= 0.006). For the remaining, this association was not significant (Table 4 ). Cu and Se levels did not display any difference between males and females (P > 0.05). Zn levels were significantly higher in men than women (71.36 ± 18.83 vs. 64.31 ± 13.80, P= 0.002) and Mn levels were significantly lower in men compared to women (2.44 ± 96 vs. 2.72 ± 1.07, P- 0.047) (Table 5 ).
Table 1.
Parameter | All patients (n=226) | ICU group (n = 112) | Non-ICU group (n= 114) | P-value | |
Sex | Male | 114 | 56 (50%) | 58 (50.9) | 0.895 |
Female | 112 | 56 (50%) | 56 (49.2) | ||
Age (mean ± SD) | 56.36 ± 18.54 | 56 ± 20.6 | 56.72 ± 16.3 | 0.34 | |
Outcome | Deceased | 56 (24.8%) | 38 (33.9%) | 18 (15.8%) | 0.002 |
Recovered | 170 (75.2%) | 74 (66.1%) | 96 (84.2%) | ||
Initial symptoms | HR (beats per minute) | 91.2 ± 1.12 | 94.62 ± 1.58 | 87.88 ± 1.57 | 0.003 |
RR (breaths per minute) | 21.81 ± 0.44 | 22.01 ± 0.52 | 21.57 ± 0.73 | 0.622 | |
Systolic BP (mmHg) | 123.16 ± 1.35 | 124.33 ± 2.21 | 122.2 ± 1.64 | 0.439 | |
Diastolic BP (mmHg) | 75.17 ± 0.9 | 74.5 ± 1.54 | 76.04 ± 1 | 0.405 | |
Oxygen saturation (spo2) | 78.91 ± 0.71 | 76.05 ± 1.08 | 81.7 ± 0.88 | 0.000 | |
Fever | 74 | 27 (37.5%) | 45 (62.5%) | 0.013 | |
Coughing | 183 | 92 (51.39%) | 87 (48.6%) | 0. 281 | |
Coughing with sputum production | 17 | 5 (29.41%) | 12 (70.58%) | 0.084 | |
Coughing; bloody sputum/haemoptysis | 10 | 6 (66.6%) | 3 (33.3%) | 0.295 | |
Sore throat | 132 | 62 (48%) | 67 (52%) | 0.604 | |
Runny nose (Rhinorrhoea) | 66 | 31 (47%) | 35 (53%) | 0.617 | |
Ear pain | 25 | 16 (64%) | 9 (36%) | 0.126 | |
Wheezing | 78 | 43 (56.57%) | 33 (43.42%) | 0.133 | |
Chest pain | 144 | 78 (55.31%) | 63 (44.68%) | 0.026 | |
Myalgia | 200 | 99 (50.25%) | 98 (49.74%) | 0.585 | |
Arthralgia | 147 | 41 (27.89%) | 106 (72.1%) | 0.169 | |
Fatigue | 187 | 94 (50.81%) | 91 (49.18%) | 0.423 | |
Dyspnea | 216 | 110 (50.92%) | 106 (49.07%) | 0.605 | |
Lower chest wall indrawing | 76 | 55 (74.32%) | 19 (25.67%) | 0 | |
Headache | 121 | 60 (50.42%) | 59 (49.57%) | 0.784 | |
Abdominal pain | 54 | 25 (46.29%) | 29 (53.7%) | 0.583 | |
Vomiting/Nausea | 92 | 44 (48.35%) | 47 (51.64%) | 0.766 | |
Diarrhoea | 15 | 6 (40%) | 9 (60%) | 0.444 | |
Conjunctivitis | 5 | 0 (0%) | 5 (100%) | 0.025 | |
Skin rash | 0 | 0 | 0 | ||
Skin ulcer | 0 | 0 | 0 | ||
Lymphadenopathy | 0 | 0 | 0 | ||
Bleeding/Haemorrhage | 0 | 0 | 0 | ||
Comorbidities | Chronic cardiac disease | 46 | 26 (57.7%) | 19 (42.2%) | 0.218 |
Obesity | 11 | 9 (81.81%) | 2 (18.18%) | 0.049 | |
Chronic pulmonary disease | 17 | 9 (56.25%) | 7 (43.75%) | 0.579 | |
Diabetes without complications | 31 | 11 (35.48%) | 20 (64.51%) | 0.092 | |
Diabetes with complications | 17 | 11 (68.75%) | 5 (29.41%) | 0.111 | |
Asthma | 12 | 7 (63.63%) | 4 (36.36%) | 0.390 | |
Chronic kidney disease | 55 | 38 (70.37%) | 16 (29.62%) | 0 | |
Rheumatic disorder | 3 | 2 (66.66%) | 1 (33.33%) | 0.551 | |
Moderate or severe liver disease | 4 | 3 (75%) | 1 (25%) | 0.556 | |
Mild liver disease | 11 | 4 (36.36%) | 7 (63.63%) | 0.206 | |
Dementia | 26 | 20 (76.92%) | 6 (23.07%) | 0.005 | |
Chronic neurological disorder | 8 | 1 (12.5%) | 7 (87.5%) | 0.427 | |
Smoking | 51 | 27 (52.94%) | 24 (47.05%) | 0.848 | |
Malignant neoplasm | 6 | 2 (33.33%) | 4 (66.66%) | 0.420 | |
Chronic hematologic disease | 6 | 2 (33.33%) | 4 (66.66%) | 0.420 | |
Other relevant risk factor (Hypertension) | 79 | 45 (56.96%) | 34 (43.03%) | 0.103 |
Categorical data such as sex and outcome are represented as n (%). All other data are represented as mean ± SD.
Table 2.
Elements | Normal range | Severity group | P-value | ||
All | ICU | Non-ICU | |||
Cu | 70-140 μg/dL | 95.74 ± 1.25 | 94.58 ± 1.97 | 96.88 ± 1.57 | 0.362 |
Zn | Men: 72.6-127 Women: 77.0-114 μg/dL | 67.87 ± 1.12 | 67.3 ± 1.79 | 68.42 ± 1.35 | 0.619 |
Se | 70 to 150 μg/L | 126.61 ± 2.05 | 130.19 ± 3.19 | 123.06 ± 2.58 | 0.084 |
Mn | 0.6 to 4.3 μg/L | 2.58 ± 0.069 | 2.68 ± 0.11 | 2.49 ± 0.08 | 0.167 |
P-values are for comparison between ICU and non-ICU ward groups. Cu: copper, Zn: zinc, Se: selenium, Mn: manganese.
Table 3.
Elements | Outcomes | P-value | |
Recovered | Deceased | ||
Cu | 95.12 ± 1.43 | 97.64 ± 2.63 | 0.389 |
Zn | 69.66 ± 1.34 | 62.43 ± 1.81 | 0.005 |
Se | 125.77 ± 2.41 | 129.15 ± 3.91 | 0.481 |
Mn | 2.59 ± 0.07 | 2.57 ± 0.14 | 0.900 |
Cu: copper, Zn: zinc, Se: selenium, Mn: manganese.
Table 4.
Elements | Age (years) | P-value | |
< 55 (n = 109) | ≥ 55 (n = 117) | ||
Zn | 68.7 ± 16.18 | 67.1 ± 17.51 | 0.36 |
Cu | 96.01 ± 21.55 | 95.5 ± 16.215 | 0.67 |
Mn | 2.8047 ± 1.11801 | 2.38 ± 90 | 0.006 |
Se | 128.92 ± 34.01 | 124.48 ± 27.37 | 0.23 |
Zn: zinc, Cu: copper, Mn: manganese, Se: selenium.
Table 5.
Elements | Age (years) | P-value | |
Male (n = 114) | Female (n = 112) | ||
Zn | 71.36 ± 18.83 | 64.31 ± 13.80 | 0.002 |
Cu | 97.77 ± 17.47 | 93.69 ± 20.19 | 0.106 |
Mn | 2.44 ± 96 | 2.72 ± 1.07 | 0.047 |
Se | 128.40 ± 31.29 | 124.80 ± 30.23 | 0.382 |
Zn: zinc, Cu: copper, Mn: manganese, Se: selenium.
Discussion
The latest evidence on coronaviruses indicates that nutritional and metabolic derangements are associated with disease severity and susceptibility to infection (Jayawardena et al., 2020, Lv et al., 2020, Singer, 2021, Zeng et al., 2021). In this study, we measured serum trace elements status in severe and non-severe COVID-19 patients. Based on the findings, Zn, Cu, Se, and Mn levels were not associated with COVID-19 severity while Zn level was strongly associated with patient outcomes.
Zn is needed for the proliferation and function of NK cells, macrophages, neutrophils, T and B cells, production of cytokines, and inhibition of reactive oxygen species (Iddir et al., 2020, Rahman and Idid, 2020). Due to its direct antiviral properties, Zn is beneficial for disease prevention. Development and maintenance of both innate and adaptive immune systems require proper intake of Zn; hence its deficiency causes dysfunction in lymphocyte maturation, impairment in cellular communication by cytokines, and weakness in innate immunity (Maares and Haase, 2016). Our findings showed Zn serum levels in both severity groups were less than the normal reference range and were strongly associated with patients' mortality, indicating a potential role for Zn in COVID- 9 pathogenesis. In addition, we found gender differences in serum Zn levels among COVID-19 patients.
Se is an important component of some enzymes and works together with vitamin E to prohibit free radicals production (Jamaati et al., 2020). Se deficiency negatively impacts immune system function and increases viral replication and mutation rates (Harthill, 2011). Recently, lower Se levels have been reported to be associated with COVID-19 (Majeed et al., 2021) and also with the mortality risk of patients (Moghaddam and Heller, 2020). Our findings were not in agreement with those reports. We found a positive trend between Se levels and ICU patients. It seems that the critically ill patients possibly received Se supplement before admission to ICU ward that were not recorded due to the recall bias.
Cu is an essential trace element that is needed for protecting DNA from oxidative stress (Karimi et al., 2015, Karimi et al., 2019, Uriu-Adams and Keen, 2005). Cu deficiency is associated with immune system dysfunction, enhanced rate of infections, and TNF-ɑ-induced lung chronic inflammation (Bonham et al., 2002, Liu et al., 2016). Cu can also inhibit RNA replication in COVID-19 (Andreou et al., 2020). In the current study, the patients’ Cu values fell within the normal range and were not associated with disease severity, patient outcome, sex, and age.
Mn plays an essential role in many cellular processes including enzymatic function (Kehl-Fie and Skaar, 2010). There is little information regarding Mn effect on immune development and COVID-19 pathogenesis. In a recently published study, liver dysfunction in severe COVID-19 was suspected to be associated with higher urinary Mn levels (Zeng et al., 2021). Our results indicated lower Mn levels were associated with age more than 55 years, indicating feeding this group with a low Mn diet and a possible susceptibility to disease.
Conclusion
On the whole, our results were not in favor of a causal relationship between trace elements levels and disease severity. We identified Zn level as a strong indicator for patients’ outcomes that can be considered for monitoring of patients’ prognosis. Future studies on a larger population regarding trace elements levels at hospital admission time and after hospitalization would be valuable and helpful in the evaluation of the dynamic changes in patients with COVID-19. Finally, nutritional measures or supplementation may help reduce poor outcomes caused by this virus in Iranian patients.
Funding
This project was financially supported by Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran (Grant/Award Number: 65697).
Ethics approval
This study was performed in line with the principles of the Declaration of Helsinki. It was approved by the Ethics Committee of Tabriz University of Medical Sciences, Iran (Ref No: IR.TBZMED.REC.1399.711).
Availability of data and materials
All data are available via the corresponding author.
Authors’ contributions
A.K. and A.S.:Conceptualizaion and design of the study; A.K., O.B., Y.Y., M.M., AM.K., and M.K.: Acquisition of data, analysis, and interpretation of data; O.B, Y.Y., and A.K.: Drafting the article; A.K. and A.S.: Critical revision of the article for important intellectual content.
Conflicts of interest
The authors have no conflicts of interest to declare relevant to the content of this article.
Acknowledgments
Our sincere thanks go to the Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
References
- Andreou A, Trantza S, Filippou D, Sipsas N, Tsiodras S. COVID-19: The potential role of copper and N-acetylcysteine (NAC) in a combination of candidate antiviral treatments against SARS-CoV-2. in vivo. 2020;34(3):1567–1588. doi: 10.21873/invivo.11946. suppl. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bonham M, O'Connor JM, Hannigan BM, Strain J. The immune system as a physiological indicator of marginal copper status? British Journal of Nutrition. 2002;87(5):393–403. doi: 10.1079/BJNBJN2002558. [DOI] [PubMed] [Google Scholar]
- Chaturvedi U, Shrivastava R, Upreti R. Viral infections and trace elements: a complex interaction. Current science. 2004:1536–1554. [Google Scholar]
- Dietz W, Santos-Burgoa C. Obesity and its implications for COVID-19 mortality. Obesity. 2020;28(6):1005. doi: 10.1002/oby.22818. [DOI] [PubMed] [Google Scholar]
- Flora SJS. Biomarkers in Toxicology. Academic Press; Boston: 2014. Chapter 29 - Metals; pp. 485–519. In: Gupta RC, editor. [Google Scholar]
- Harthill M. Micronutrient selenium deficiency influences evolution of some viral infectious diseases. Biological trace element research. 2011;143(3):1325–1336. doi: 10.1007/s12011-011-8977-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Iddir M, Brito A, Dingeo G, Fernandez Del Campo SS, Samouda H, La Frano MR. Strengthening the immune system and reducing inflammation and oxidative stress through diet and nutrition: considerations during the COVID-19 crisis. Nutrients. 2020;12(6):1562. doi: 10.3390/nu12061562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jamaati H, Dastan F, Tabarsi P, Marjani M, Saffaei A, Hashemian SM. A fourteen-day experience with coronavirus disease 2019 (COVID-19) induced acute respiratory distress syndrome (ARDS): an Iranian treatment protocol. Iranian Journal of Pharmaceutical Research: IJPR. 2020;19(1):31. doi: 10.22037/ijpr.2020.113337.14239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jayawardena R, Sooriyaarachchi P, Chourdakis M, Jeewandara C, Ranasinghe P. Enhancing immunity in viral infections, with special emphasis on COVID-19: A review. Diabetes & metabolic syndrome. 2020;14(4):367–382. doi: 10.1016/j.dsx.2020.04.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jiang S, Xia S, Ying T, Lu L. A novel coronavirus (2019-nCoV) causing pneumonia-associated respiratory syndrome. Cellular & molecular immunology. 2020;17(5):554. doi: 10.1038/s41423-020-0372-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Karimi A, Majidzadeh AK, Madjd Z, Akbari A, Habibi L, Akrami SM. Effect of Copper Sulfate on Expression of Endogenous L1 Retrotransposons in HepG2 Cells (Hepatocellular Carcinoma) Biol Trace Elem Res. 2015;165(2):131–134. doi: 10.1007/s12011-015-0256-0. [DOI] [PubMed] [Google Scholar]
- Karimi A, Sheervalilou R, Kahroba H. A New Insight on Activation of Human Endogenous Retroviruses (HERVs) in Malignant Melanoma upon Exposure to CuSO4. Biol Trace Elem Res. 2019;191(1):70–74. doi: 10.1007/s12011-018-1605-6. [DOI] [PubMed] [Google Scholar]
- Kehl-Fie TE, Skaar EP. Nutritional immunity beyond iron: a role for manganese and zinc. Current opinion in chemical biology. 2010;14(2):218–224. doi: 10.1016/j.cbpa.2009.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Khaerunnisa S, Kurniawan H, Awaluddin R, Suhartati S, Soetjipto S. Potential inhibitor of COVID-19 main protease (Mpro) from several medicinal plant compounds by molecular docking study. 2020.
- Kong R, Yang G, Xue R, Liu M, Wang F, Hu J. COVID-19 Docking Server: A meta server for docking small molecules, peptides and antibodies against potential targets of COVID-19. Bioinformatics. 2020;36(20):5109–5111. doi: 10.1093/bioinformatics/btaa645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krawczyk-Coda M. Determination of Selenium in Food Samples by High-Resolution Continuum Source Atomic Absorption Spectrometry After Preconcentration on Halloysite Nanotubes Using Ultrasound-Assisted Dispersive Micro Solid-Phase Extraction. Food Analytical Methods. 2019;12(1):128–135. [Google Scholar]
- Lee YH, Bang E-S, Lee J-H, Lee J-D, Kang DR, Hong J. Serum concentrations of trace elements zinc, copper, selenium, and manganese in critically ill patients. Biological trace element research. 2019;188(2):316–325. doi: 10.1007/s12011-018-1429-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu L, Geng X, McDermott J, Shen J, Corbin C, Xuan S. Copper deficiency in the lungs of TNF-α transgenic mice. Frontiers in physiology. 2016;7:234. doi: 10.3389/fphys.2016.00234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lv Y, Chen L, Liang X, Liu X, Gao M, Wang Q. Clinical nutrition (Edinburgh, Scotland); 2020. Association between iron status and the risk of adverse outcomes in COVID-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maares M, Haase H. Zinc and immunity: An essential interrelation. Archives of biochemistry and biophysics. 2016;611:58–65. doi: 10.1016/j.abb.2016.03.022. [DOI] [PubMed] [Google Scholar]
- Majeed M, Nagabhushanam K, Gowda S, Mundkur L. An exploratory study of selenium status in healthy individuals and in patients with COVID-19 in a south Indian population: The case for adequate selenium status. Nutrition (Burbank, Los Angeles County, Calif) 2021;82 doi: 10.1016/j.nut.2020.111053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moghaddam A, Heller RA. Selenium Deficiency Is Associated with Mortality Risk from COVID-19. 2020;12(7) doi: 10.3390/nu12072098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morfeld P, Timmermann B, Groß VJ, Lewis P, Erren TC. COVID-19: Wie änderte sich die Sterblichkeit?–Mortalität von Frauen und Männern in Deutschland und seinen Bundesländern bis Oktober 2020. DMW-Deutsche Medizinische Wochenschrift. 2021;146(02):129–131. doi: 10.1055/a-1334-0586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Organization. WH. World Health Organization.Novel Coronavirus (2019-nCoV). 2020. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200121-sitrep-1-2019-ncov.pdf.
- Rahman MT, Idid SZ. Can Zn be a critical element in COVID-19 treatment? Biological trace element research. 2020:1–9. doi: 10.1007/s12011-020-02194-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Razzaque MS. COVID-19 pandemic: can maintaining optimal zinc balance enhance host resistance? The Tohoku journal of experimental medicine. 2020;251(3):175–181. doi: 10.1620/tjem.251.175. [DOI] [PubMed] [Google Scholar]
- Singer P. Nutritional and metabolic management of COVID-19 intensive care patients. Journal of Intensive Medicine. 2021 doi: 10.1016/j.jointm.2021.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thurnham DI. Micronutrients and immune function: some recent developments. Journal of clinical pathology. 1997;50(11):887–891. doi: 10.1136/jcp.50.11.887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Uriu-Adams JY, Keen CL. Copper, oxidative stress, and human health. Molecular aspects of medicine. 2005;26(4-5):268–298. doi: 10.1016/j.mam.2005.07.015. [DOI] [PubMed] [Google Scholar]
- Wong SH, Lui RN, Sung JJ. Covid-19 and the digestive system. Journal of gastroenterology and hepatology. 2020;35(5):744–748. doi: 10.1111/jgh.15047. [DOI] [PubMed] [Google Scholar]
- Wu F, Zhao S, Yu B, Chen Y-M, Wang W, Song Z-G. A new coronavirus associated with human respiratory disease in China. Nature. 2020;579(7798):265–269. doi: 10.1038/s41586-020-2008-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zeng HL, Zhang B, Wang X, Yang Q, Cheng L. Urinary trace elements in association with disease severity and outcome in patients with COVID-19. Environmental research. 2021;194 doi: 10.1016/j.envres.2020.110670. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data are available via the corresponding author.