Abstract
Background
By 27 June 2020, almost half a million people had died due to COVID-19 infections. The susceptibility and severity of infection vary significantly across nations. The contribution of chronic viral and parasitic infections to immune homeostasis remains a concern. By investigating the role of interferon (IFN)-γ, we conducted this study to understand the connection between the decrease in numbers and severity of COVID-19 cases within parasitic endemic regions. Our research included 375 patients referred to hospitals for diagnosis of COVID-19 infection. Patients were subjected to full investigations, in particular severe acute respiratory syndrome coronavirus-2 nucleic acid and Toxoplasma IgM and IgG antibody detection, stool examination, and quantitative IFN-γ measurement.
Results
The majority of the studied cases had chest manifestation either alone (54.7%) or in association with gastrointestinal (GIT) manifestations (19.7%), whereas 25.6% had GIT symptoms. We reported parasitic infections in 72.8% of mild COVID-19 cases and 20.7% of severe cases. Toxoplasma gondii, Cryptosporidium, Blastocyst, and Giardia were the most common parasitic infections among the COVID-19 cases studied.
Conclusion
The remarkable adaptation of human immune response to COVID-19 infection by parasitic infections with high levels of IFN-γ was observed in moderate cases compared with low levels in extreme cases. The potential therapeutic efforts aimed at the role of parasitic infection in immune system modulation are needed if this hypothesis is confirmed.
Introduction
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is an intercontinental pandemic triggered by the universal human-to-human transmission of the virus [1]. Meaningful variations are observed in the way COVID-19 spreads across different regions on various continents [2].
Malaria-endemic countries have reported a low number of COVID-19 cases [3]. The populations in these areas have natural protection against malaria infection by producing a combination of Th1 and Th2 responses. In several coinfections, malaria-induced immunosuppression also severely inhibits immune responses to other infections, such as Salmonella spp. [4]. By inhibiting the activity of CD8+ T-cell migration, Plasmodium infection protects against the Chikungunya virus [5].
Toxoplasma gondii is an intracellular parasite that generates dense granuleprotein-7 (GRA-7) into the host cell, which inhibits viral replication [6]. Based on the antagonistic phenomenon in which certain pathogens can inhibit another infection by limiting its invasion, survival, and reproduction, various parasites have weakened the severity of viral infections [7]. In addition, the concurrent infection of Giardia and Rotavirus reduces the severity of the related viral infection [8].
The most frequent symptoms of patients infected with SARS-CoV-2 upon admission are history of fever, shortness of breath, cough, fatigue/malaise, and confusion, according to the Center for Disease Control and Prevention [9]. The pathogenesis of human infection with SARS-CoV-2 manifests as mild symptoms to extreme respiratory failure. The virus replicates and migrates across the airways upon binding to epithelial cells of the respiratory tract. The rapid replication of SARS-CoV-2 in the lungs elicits an effective immune response. After the relief of clinical symptoms and negative reverse-transcriptase polymerase chain reaction (RT-PCR) assay findings, this viral infection displays an inflammatory response resulting in lung fibrosis [10].
Cytokine storm syndrome, which is considered the primary cause of death in patients, induces acute respiratory distress syndrome and respiratory failure. The serum of hospitalized patients with severe COVID-19 contain elevated levels of tumor necrosis factor, interleukin (IL)-2, IL-10, IL-7, granulocyte colony-stimulating factor, C-X-C motif chemokine ligand 10, and macrophage inflammatory protein 1α [11]. Interferons (IFNs) are well-known cytokines for their antiviral effects; they play a critical role in viral multiplication drop off [12]. The expression of IFN-γ receptors is limited to epithelial cell-enriched tissues, such as the lungs, skin, gastrointestinal tract (GIT), and respiratory tract. This receptor allocation pattern renders IFN-γ with the capability to target specific tissues [13]. The IFN-γ levels are negatively related to the increase in the amount of COVID-19 fibrosis at discharge. These results indicate the early interference of IFN-γ antiviral infection and inhibition of fibrosis for improved recovery [14].
We conducted this study to realize the relationship between the decrease in numbers and severity of COVID-19 cases within parasitic endemic areas by investigating the role of IFN-γ.
Results
This research included 375 patients diagnosed with COVID-19 positive (+ ve) via PCR tests. The patients were aged18–69 years old, with a mean age of 44.72 years, and of which 65.6% were male, and 34.4% were female. Employers (24.8%) and specialists (18.4%) were the most frequent occupations among the studied population, as shown in Table 1. In terms of comorbidity, 40% of patients had other systemic disorders, with chronic lung disease (19.7%) being the most common. The majority of cases examined had chest manifestations either alone (54.7%) or in association with GIT manifestations (19.7%), whereas only GIT symptoms were present in 25.6%. In 92.3% of the studied cases, the severity of COVID-19 was mild, and a severe condition was noted in 7.7% (required intensive care unit (ICU) admission) (Table 1).
Table 1.
Characteristics | (n = 375) | |
---|---|---|
N | % | |
Sex | ||
Male | 246 | 65.6 |
Female | 129 | 34.4 |
Age | ||
Mean ± SD | 44.72 ± 13.82 | |
Range | 18–69 | |
Occupation | ||
Student | 29 | 7.7 |
Unemployed house wife | 51 | 13.6 |
Retired | 24 | 6.4 |
Farmer | 12 | 3.2 |
Skilled or worker | 65 | 17.3 |
Employer | 93 | 24.8 |
Specialist | 69 | 18.4 |
Health care worker | 32 | 8.5 |
Chronic comorbidities | ||
No | 225 | 60 |
Yes | 150 | 40 |
Hypertension | 12 | 3.2 |
Diabetes mellitus | 12 | 3.3 |
Hypertension + diabetes mellitus | 8 | 2.1 |
Chronic heart disease | 21 | 5.6 |
Chronic lung disease | 74 | 19.7 |
Chronic heart + chronic lung diseases | 10 | 2.7 |
Immunosuppression | 13 | 3.5 |
COVID-19 symptoms | ||
GIT manifestation | 96 | 25.6 |
Chest and GIT manifestations | 74 | 19.7 |
Covid-19 severity | ||
Mild | 346 | 92.3 |
Severe (admission ICU) | 29 | 7.7 |
The prevalence of parasitic infections among the studied COVID-19 cases was 68.8%. The most commonly found parasites were Toxoplasma gondii (22.4%), Cryptosporidium (19.7%), Blastocyst (17.6%), Giardia (9.1%), and Cryptosporidium + Blastocyst + Entamoeba histolytica combined infection (6.1%) (Fig. 1).
Table 2 reveals the relationship between the severity of COVID-19 infection and symptoms, where all confirmed severe cases showed chest symptoms only with a highly statistically significant difference (P < 0.001) compared with the mild cases. The mild cases showed chest symptoms (50.9%), GIT symptoms (27.7%), and mixed chest and GIT symptoms (21.4%) with a highly statistically significant difference (P < 0.001). Reviewing the relation between parasitic infected cases and the severity of this viral infection, 72.8% and 20.7% of mild and severe cases had parasitic infection, respectively (Table 3). Additionally, 91.7% of cases with diabetes mellitus had parasitic infections, and 75% of hypertensive cases and 100% of immune-compromised patients had parasitic infections with a statistically significant difference (P < 0.05). A highly statistically significant increase was observed in the frequency of infections among cases with GIT symptoms (78.1%) and combined GIT and chest symptoms (83.8%) compared with cases with chest symptoms only (59%), indicating a high statistically significant difference (P < 0.001).
Table 2.
Manifestation | Mild (n = 346) | Severe (n = 29) | χ2 | P | ||
---|---|---|---|---|---|---|
N | % | N | % | |||
Chest manifestation | 176 | 50.9 | 29 | 100 | 26.06 | < 0.001** |
GIT manifestation | 96 | 27.7 | 0 | 0 | ||
Chest & GIT manifestations | 74 | 21.4 | 0 | 0 |
χ2 Chi-square test, ** highly significant (P < 0.01)
Table 3.
Characteristics | Total | Negative (−ve) (n = 117) | Positive (+ve) (n = 258) | t | P |
---|---|---|---|---|---|
Age | |||||
Mean ± SD | 375 | 43.37 ± 10.62 | 45.11 ± 12.53 | 1.30 | 0.19 |
Range | 18–67 | 19–69 | NS |
Characteristics | Total | N | % | N | % | χ2 | P |
---|---|---|---|---|---|---|---|
Sex | |||||||
Male | 246 | 75 | 30.5 | 171 | 69.5 | 0.17 | 0.68 |
Female | 129 | 42 | 32.6 | 87 | 67.3 | NS | |
Occupation | |||||||
Student | 29 | 11 | 37.9 | 18 | 62.1 | ||
Unemployed-housewife | 51 | 13 | 25.5 | 38 | 74.5 | ||
Retired | 24 | 10 | 41.7 | 14 | 58.3 | ||
Farmer | 12 | 1 | 8.3 | 11 | 91.7 | ||
Skilled or worker | 65 | 23 | 35.4 | 42 | 64.6 | 14.98 | 0.04* |
Employer | 93 | 35 | 37.6 | 58 | 62.4 | ||
Specialist | 69 | 21 | 30.4 | 48 | 69.6 | ||
Health care worker | 32 | 3 | 9.4 | 29 | 90.6 | ||
Chronic comorbidities | |||||||
No | 225 | 69 | 30.7 | 156 | 69.3 | 0.07 | 0.78 |
Yes | 150 | 48 | 32 | 102 | 68 | 0.07 | NS |
Hypertension | 12 | 5 | 41.7 | 7 | 58.3 | ||
Diabetes mellitus | 12 | 1 | 8.3 | 11 | 91.7 | ||
HPT + DM | 8 | 2 | 25 | 6 | 75 | 12.58 | 0.04* |
Chronic heart disease | 21 | 9 | 42.9 | 12 | 57.1 | ||
Chronic lung disease | 74 | 26 | 35.1 | 48 | 64.9 | ||
Chronic heart & lung diseases | 10 | 5 | 50 | 5 | 50 | ||
Immunosuppression | 13 | 0 | 0 | 13 | 100 | ||
COVID-19 symptoms | |||||||
Chest manifestation | 205 | 84 | 41 | 121 | 59 | ||
GIT manifestation | 96 | 21 | 21.9 | 75 | 78.1 | 20.67 | <0.001** |
Chest & GIT manifestations | 74 | 12 | 16.2 | 62 | 83.8 | ||
Mild | 346 | 94 | 27.2 | 252 | 72.8 | 33.89 | <0.001** |
Covid-19 severity | |||||||
Severe (admission ICU) | 29 | 23 | 79.3 | 6 | 20.7 |
SD standard deviation, t independent t test, χ2 chi-square test, NS non-significant, NS non-significant (P > 0.05) * significant (P < 0.05) ** highly significant (P < 0.01)
The parasitic infection modulated the human immune response to COVID-19 infection in mild cases with high levels of IFN (50.17 ± 8.24) compared with those with low levels of IFN (9.17 ± 1.60) in severe cases (Table 4).
Table 4.
IFN-γ level (pg/ml) | Total (375) | Mild cases (n = 346) | Sever cases (n = 29) | F | P | ||
---|---|---|---|---|---|---|---|
With parasites (n = 252) | No parasites (n = 94) | With parasites (n = 23) | No parasites (n = 6) | ||||
Mean ± SD | 40.29 ± 16.94 | 50.17 ± 8.24 a | 25.49 ± 5.92 b | 9.17 ± 1.60 d | 0.74 ± 0.22 c | 529 | < 0.001** |
SD standard deviation, F ANOVA test, ** highly significant (P < 0.01)
Groups with different letters are statistically significant (P < 0.05)
Discussion
Our results reported the decreased incidence and severity of SARS-CoV-2 disease in patients with parasitic infections compared with those who had SARS-CoV-2 alone. Among the examined COVID-19 cases, the prevalence of parasitic infections was 68.8% with a highly statistically significant increase (P < 0.001) in mild cases (72.8%) compared with that in severe cases (20.7%). The most commonly identified parasites (Fig. 1) were Toxoplasma gondii (22.4%), Cryptosporidium (19.7%), Blastocyst (17.6%), and Giardia (9.1%).
In our research, the path of the disease was mild given that spontaneous resolution occurred in Toxoplasma gondii-infected patients. These results can be explained by the production of GRA-7, which displays immune stimulation and a broad spectrum of antiviral activities via type I IFNs signaling [6]. Another clarification was obtained by Degrandi et al. [15], who announced that Toxoplasma-infected mice exhibited up-regulated immune responsive gene 1 in their lungs. This gene is an IFN-stimulated gene that mediates antiviral effects against RNA viruses [16]. Moreover, the apicoplast proteins of protozoa have immunogenic potential [17]. Priming with viable C. parvum oocysts provides a protective immunity at an extremely low dose. This condition restores the Th1-partner mucosal (CD8+ T-cells) and their cytokine IFN-γ effectors that otherwise decrease with ongoing protein malnutrition [18]. Nevertheless, after respiratory syncytial virus, Heligmosomoide spolygyrus considerably reduces pulmonary complications [19].
In our study, we obtained high levels of IFN-γ (50.13 pg/ml) in mild cases compared with the low levels (0.7385 pg/ml) in severe cases of COVID-19 with parasitic infections. Chen et al. [10], who reported that IFN-γ was lower in severe COVID-19 patients compared with those with a moderate form of the disease, approved our findings. Bajwa et al. [20] also noted the antiviral activity of IFN-γ by exerting cellular effects at various levels. IFN-γ interacts with the viral receptor, resulting in the consequent reduction of several virus replication down-regulating genes and gene products [21]. Li and De Clercq [22] showed that IFNs are potential drug choices for SARS-CoV-2 infection.
Our main finding supports the protective role of parasitic infections against infection with COVID-19. Compared with parasite-free patients, the general improvement in the overall health status of COVID-19 +ve patients was demonstrated by a rapid exit without any respiratory complications. Our findings are endorsed by Cohen et al.[23], who stated that CD4+ and CD8+ T-cells play imperative synergistic roles given that both secrete IFN-γ during T. gondii infection. The IFN-γ produced by CD4+ cells is required to prime macrophages, inducing powerful antimicrobial responses. IFN-γ regulates the expression of inducible nitric oxide synthase, which is eventually required for parasite control [24]. Additionally, treatment with soluble T. gondii antigen 24 h post-P.berghei infection resulted in a rapid increase in serum IL-12 and IFN-γ levels [25]. The development of immunity in Cryptosporidium-infected humans and murines is associated with the elevated expression of IFN-γ Th1 cytokines [26]. In addition, the immunomodulation caused by malaria is effective against extreme manifestations of certain respiratory viruses. Hospitalized children diagnosed with influenza and malaria in Kenya are less likely to suffer respiratory distress than those with influenza alone [27].
Conclusion
Among the parasite-infected cases, the COVID-19 disease sequence was moderate. Cryptosporidium, T. gondii, Blastocyst, and Giardia were parasitic infections among the studied COVID-19 infected cases. A high percentage of moderate COVID cases accompanied with parasitic infections was observed in our results, and an increased number of serious cases were parasite free. The +ve role of parasitic infections in modulating the human immune response to COVID-19 infection was evident in the high level of IFN γ in mild cases. A new prospect for the development of novel successful protection against COVID-19 infection has been provided by the unclear link between parasitic and viral infections. Testing the safety and efficacy of parasite-derived antigens in more patients with SARS-CoV-2 infection may be worthwhile. Our future research will focus on the cytokine storm concerning parasitic infections triggering the immunocompromised population.
Material and methods
Population study
This cross-sectional analysis was conducted on 375 patients who were referred to Zagazig University Hospital and Al-Ahrar Hospital in Sharkia Province, Egypt for diagnosis of COVID-19 infection between 15 July and 10 October 2020. The requirements for diagnosis of the suspected cases of infection were sent to the Egyptian Ministry of Health Protocol for Diagnosing and Treating Cases of COVID-19. The reported patient had a strong history of epidemic exposure and had at least two of the following clinical manifestations: fever, respiratory symptoms, viral pneumonia imaging, and normal or decreased number of white blood cells and lymphocytes at the early stage of the disease. Complete blood count, SARS-CoV-2 nucleic acid detection, lung computed tomography analysis, specific Toxoplasma IgM and IgG antibody detection, and stool examination were conducted onall patients involved. No exclusion criteria were applied for the patients. The cases examined were subjected to medical history and clinical examination and then divided into those with mild disease with fever, fatigue, dry cough, and ground-glass opacities of pneumonia. The total number of white blood cells in the early stage of disease was normal or decreased, the lymphocyte count decreased, and severe disease occurred with respiratory distress (respiration rate ≥ 30 times/min), oxygen saturation (≤ 93% in the resting state), PaO2/FiO2 ≤ 300 mm Hg. Upon admission, blood samples were obtained from the patients. Nine days after symptoms appeared, the medication regimen was started. Mild cases appeared after a week. On the other hand, in severe cases, oral intubation was conducted in ICU during treatment.
Diagnosis of COVID-19 infection
SARS-CoV-2 RNA was investigated by RT-PCR of the combined nasopharyngeal and oropharyngeal swab samples of the reported cases of mild and serious infection, as per the Egyptian Ministry of Health diagnostic guideline.
Viral RNA was extracted by using the automated extraction system GenoXtract® from HAIN Lifescience GmbH (Brucker) using GXT DNA/RNA Extraction kit (CE IVD) (Primerdesign Ltd, School Lane, Chandler’s Ford, UK, SO53 4DG). RT-PCR was performed with genesig® Real-Time PCR Coronavirus (COVID-19) (CE) Z-Path-COVID-19-CE- (Primerdesign Ltd, School Lane, Chandler’s Ford, UK, SO53 4DG) using primers and probes targeting the RNA-dependent RNA polymerase gene fragment in Roche® LightCycler 480 II. Each 12 µL reaction mixture contained 10 µL oasig qPCR OneStep Master Mix and 2 µL Coronavirus (COVID-19) CE IVD Primer/Probe. The thermal cycling conditionswere10 min at 55 °C for RT, 2 min at 95 °C for initial PCR activation, and 45 cycles of 10 sat 95 °C and 60 sat 60 °C, in accordance with the manufacturer’s instructions (Primerdesign Ltd, School Lane, Chandler’s Ford, UK, SO53 4DG). The +ve control template contained standardized concentrations of SARS-CoV-2 RNA (COVID-19) specific sequence at a concentration of 1.67 × 105 copies per µl. The template should produce Cq ≤ 22 in the FAM channel to ensure the PCR run validity. Each run should contain the +ve and the negative control to produce a valid result. Analytical and clinical performances of the kit were determined by the manufacturer’s instructions.
Parasitological assessment
Diagnosis of toxoplasmosis
Venous blood (approximately 5 ml) was collected from each patient. The blood samples were labeled and refrigerated by shipment to the laboratory at 4 °C. The blood samples were then centrifuged in 1.5 ml centrifuge tubes to obtain the serum. The samples were held at − 80 °C before use. The electrochemiluminescence immunoassay (Cobas E411 immunoassay analyzers, Mannheim, Germany) was used to detect anti-Toxoplasma IgG and IgM antibodies. Master curve minimum and maximum limits specified by 0.13–650 IU/ml were detected for reference measurement.
Stool examination
Fresh stool samples from patients with manifestations of COVID-19 were collected. Direct smear, formol–ether concentration technique [28], and modified Ziehl–Neelsen stain [29] were performed. On the basis of GIT manifestation of most patients, parasitological evaluation was requested.
IFN-γ measurement
The human IFN γ enzyme-linked immunosorbent assay kit (NOVA, No. 18, Keyuan Road, DaXing Industry Region, Beijing, China) was used to quantitatively calculate IFN-γ in the serum of the studied population, following the manufacturer’s instructions. Optical density was estimated at 450 nm, the standard curve was built, and the mean absorbance concentration of the samples from the standard curve was measured.
Statistical analysis
The data were computerized and statistically analyzed using Statistical Package for the Social Sciences, version 25.0. Qualitative data were expressed as the number and percentage, and quantitative data were expressed as the mean, standard deviation, and range. Chi-square (χ2) and independent t-tests were used in comparing data. The p-value was considered significant if < 0.05 and highly significant if < 0.01.
Authors’ contributions
EFAH came up with the idea, drafted the initial proposal, and finalized the manuscript. The other authors processed the data collection tools and practice data collection and analysis. All authors read and approved the manuscript.
Declarations
Ethical approval and consent to participate
The research was authorized by the Ethics Committee of the Faculty of Medicine of Zagazig University, Egypt. The +ve cases for parasites were treated. The confidentiality of data and information from this research was kept. Written consent was obtained from each participant.
Competing interests
The authors affirm that they have no competing interests regarding the publication of this manuscript.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Luengo-Alonso G, Pérez-Tabernero FG, Tovar-Bazaga M, Arguello-Cuenca JM, Calvo E. Critical adjustments in a department of orthopaedics through the COVID-19 pandemic. Int Orthop. 2020;44:1557–1564. doi: 10.1007/s00264-020-04647-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Khosrawipour V, Lau H, Kocbach P, Ichii H, Bania J, Mikolajczyk A. Failure in initial stage containment of global COVID-19 epicenters. J Med Virol. 2020;92:863–867. doi: 10.1002/jmv.25883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.https://covid19.who.int/?gclid=EAIaIQobChMI7dTvgr6b7QIVVIBQBh0L5wmZEAAYASAAEgJlh_D_BwE. Accessed 24 Nov 2020.
- 4.Lokken KL, Stull-Lane AR, Poels K, Tsolis RM. Malaria parasite-mediated alteration of macrophage function and increased iron availability predispose to disseminated nontyphoidal Salmonella infection. Infect Immun. 2018;86:301–318. doi: 10.1128/IAI.00301-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Teo TH, Lum FM, Ghaffar K, Chan YH, Amrun SN, Tan JJL, et al. Plasmodium co-infection protects against Chikungunya virus induced pathologies. Nat Commun. 2018;9:3905. doi: 10.1038/s41467-018-06227-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Weeratunga P, Herath TUB, Kim TH, Lee HC, Kim JH, Lee BH, et al. Dense Granule Protein-7 (GRA-7) of Toxoplasma gondii inhibits viral replication in vitro and in vivo. J Microbiol. 2017;55:909–917. doi: 10.1007/s12275-017-7392-5. [DOI] [PubMed] [Google Scholar]
- 7.Shen SS, Qu XY, Zhang WZ, Li J, Lv ZY. Infection against infection parasite antagonism against parasites, viruses and bacteria. Infect Dis Pover. 2019;8:49. doi: 10.1186/s40249-019-0560-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Bilenko N, Levy A, Dagan R, Deckelbaum RJ, El-On Y, Fraser D. Does co-infection with Giardia lamblia modulate the clinical characteristics of enteric infections in young children? Eur J Epidemiol. 2004;19:877–883. doi: 10.1023/B:EJEP.0000040533.75646.9c. [DOI] [PubMed] [Google Scholar]
- 9.https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html. Accessed May 2019.
- 10.Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H, et al. Clinical and immunological features of severe and moderate coronavirus disease 2019. J Clin Invest. 2020;130:2620–2629. doi: 10.1172/JCI137244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lee AJ, Ashkar AA. The dual nature of type I and type II interferons. Front Immunol. 2018;9:2061. doi: 10.3389/fimmu.2018.02061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sommereyns C, Paul S, Staeheli P, Michiels T. IFN-lambda (IFN-lambda) is expressed in a tissue-dependent fashion and primarily acts on epithelial cells in vivo. PLOSPathog. 2008;4:e1000017. doi: 10.1371/journal.ppat.1000017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hu ZJ, Xu J, Yin JM, Li L, Hou W, Zhang LL, et al. Lower circulating interferon-gamma is a risk factor for lung fibrosis in COVID-19 patients. Front Immunol. 2020 doi: 10.3389/fimmu.2020.585647. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Degrandi D, Hoffmann R, Beuter-Gunia CK, Pfeffer K. Teproinfammatory cytokine-induced IRG1 protein associates with mitochondria. J Interferon Cytokine Res. 2009;29:55–67. doi: 10.1089/jir.2008.0013. [DOI] [PubMed] [Google Scholar]
- 16.Daniels BP, Kofman SB, Smith JR, Norris GT, Snyder AG, Kolb JP, et al. Te nucleotide sensor ZBP1 and kinase RIPK3 induce the enzyme IRG1 to promote an antiviral metabolic state in neurons. Immunity. 2019;50:64–76.e4. doi: 10.1016/j.immuni.2018.11.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Can H, ErkuntAlak SE, Köseoğlu AE, Döşkaya M, Ün C. Do Toxoplasma gondii apicoplast proteins have antigenic potential? An in silico study. Comput Biol Chem. 2020;84:107158. doi: 10.1016/j.compbiolchem.2019.107158. [DOI] [PubMed] [Google Scholar]
- 18.Bartelt LA, Bolick DT, Kolling GL, Roche JK, Zaenker EI, Lara AM, et al. Cryptosporidium priming is more effective than vaccine for protection against Cryptosporidiosis in a murine protein malnutrition model. PLOS Negl Trop Dis. 2016;10:e0004820. doi: 10.1371/journal.pntd.0004820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.McFarlane AJ, McSorley HJ, Davidson DJ, Fitch PM, Errington C, Mackenzie KJ, et al. Enteric helminth-induced type I interferon signaling protects against pulmonary virus infection through interaction with the microbiota. J Allergy Clin Immunol. 2017;140:1068–78.e6. doi: 10.1016/j.jaci.2017.01.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Bajwa A, Huang L, Kurmaeva E, Ye H, Dondeti KR, Chroscicki P, et al. Sphingosine kinase 2 deficiency attenuates kidney fibrosis via IFN-gamma. J Am Soc Nephrol. 2017;28:1145–1161. doi: 10.1681/ASN.2016030306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Levy DE, García-Sastre A. The virus battles: IFN induction of the antiviral state and mechanisms of viral evasion. Cytokine Growth Factor Rev. 2001;12:143–156. doi: 10.1016/S1359-6101(00)00027-7. [DOI] [PubMed] [Google Scholar]
- 22.Li G, De Clercq E. Therapeutic options for the 2019 novel coronavirus (2019-nCoV) Nat Rev Drug Discov. 2020;19:149–150. doi: 10.1038/d41573-020-00016-0. [DOI] [PubMed] [Google Scholar]
- 23.Cohen SB, Maurer KJ, Egan CE, Oghumu S, Satoskar AR, Denkers EY. CXCR3-dependent CD4 T cells are required to activate inflammatory monocytes for defense against intestinal infection. PLOSPathog. 2013;9:e1003706. doi: 10.1371/journal.ppat.1003706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Scharton-Kersten TM, Yap G, Magram J, Sher A. Inducible nitric oxide is essential for host control of persistent but not acute infection with the intracellular pathogen Toxoplasma gondii. J Exp Med. 1997;185:1261–1273. doi: 10.1084/jem.185.7.1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Settles EW, Moser LA, Harris TH, Knoll LJ. Toxoplasma gondii upregulatesinterleukin-12 to prevent Plasmodium berghei —induced experimental cerebral malaria. Infect Immun. 2014;82:1343–1353. doi: 10.1128/IAI.01259-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tessema TS, Schwamb B, Lochner M, Förster I, Jakobi V, Petry F. Dynamics of gut mucosal and systemic Th1/Th2 cytokine responses in interferon-gamma and interleukin-12 p40 knockout mice during primary and challenge Cryptosporidium parvum infection. Immunobiology. 2009;214:454–466. doi: 10.1016/j.imbio.2008.11.015. [DOI] [PubMed] [Google Scholar]
- 27.Thompson MG, Breiman RF, Hamel MJ, Desai M, Emukule G, Khagayi S, et al. Influenza and malaria coinfection among young children in western Kenya 2009–2011. J Infect Dis. 2012;206:1674–1684. doi: 10.1093/infdis/jis591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Waldman E, Tzipori S, Forsyth JR. Separation of Cryptosporidium species oocysts from feces by using a percoll discontinuous density gradient. J Clin Microbiol. 1986;23:199–200. doi: 10.1128/JCM.23.1.199-200.1986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Henriksen S, Pohlenz J. Staining of cryptosporida by a modified Ziehl-Neelsen technique. Acta Vet Scand. 1981;22:594–596. doi: 10.1186/BF03548684. [DOI] [PMC free article] [PubMed] [Google Scholar]