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The effects of killer cell immunoglobulin-like receptor (KIR) genes on susceptibility to severe COVID-19 in the Iranian population

Abstract

Background

Variations in the innate and adaptive immune response systems are linked to variations in the severity of COVID-19. Natural killer cell (NK) function is regulated by sophisticated receptor system including Killer-cell immunoglobulin-like receptor (KIR) family. We aimed to investigate the impact of possessing certain KIR genes and genotypes on COVID19 severity in Iranians. KIR genotyping was performed on 394 age/sex matched Iranians with no underlying conditions who developed mild and severe COVID- 19. The presence and/or absence of 11 KIR genes were determined using the PCR with sequence specific primers (PCR-SSP).

Results

Patients with mild symptoms had higher frequency ofKIR2DS1 (p = 0.004) and KIR2DS2 (p = 0.017) genes compared to those with severe disease. While KIR3DL3 and deleted variant of KIR2DS4 occurred more frequently in patients who developed a severe form of the disease. In this study, a significant increase of and B haplotype was observed in the Mild group compared to the Severe group (respectively, p = 0.002 and p = 0.02). Also, the prevalence of haplotype A was significantly higher in the Severe group than in the Mild group (p = 0.02).

Conclusions

These results suggest that the KIR2DS1, KIR2DS, and B haplotype maybe have a protective effect against COVID-19 severity. The results also suggest the inhibitory gene KIR2DL3 and haplotype A are risk factors for the severity of COVID-19.

Peer Review reports

Background

COVID-19 is a severe acute respiratory syndrome caused by a highly contagious virus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1]. The COVID-19 outbreak led to extensive global morbidity and mortality [2]. According to the report of the World Health Organization (WHO) released on August 2023, around 7 million deaths by COVID-19 have been recorded (https://covid19.who.int/table) [3]. The symptoms of COVID-19 can vary from asymptomatic infection which partially remains unrecognized to mild and severe disease with fever, cough, shortness of breath, pneumonia and organ failure [4,5,6,7]. Natural Killer (NK) cells play a crucial role in innate immune response as the first line of defense against infection with SARS-CoV-2 [8, 9]. NK cells are equipped with a diverse array of inhibitory and activating receptors including killer cell immunoglobulin-like receptors (KIRs) which have been involved in immune responses to viral infection and tumors [10]. Interaction of inhibitory and activating KIRs with HLA class I molecules on target cells determines the responsiveness or tolerance of NK cells [11]. As stated in “Missing self” hypothesis, NK cells check and differentiate healthy cells from unhealthy targets such as virally infected or transformed cells by recognizing down-regulation of human leukocyte antigen-I (HLA-I) or overexpression of activating ligands on their cell surface [12]. KIR gene family encode receptors with two or three extracellular domains (D) involved in antigen recognition and short or long cytoplasmic tail providing activating and inhibitory signals respectively [13]. The gene content in Killer Cell Immunoglobulin-Like Receptors (KIRs) in Natural Killer (NK) cells includes 11 expressed human KIR genes. Among these genes, KIR2DS1, 2, 3, 4, and 5 are activating receptors, while KIR2DL1, 2DL2/3, and 2DL5 are inhibitory receptors. KIR2DL4 has the potential for both activating and inhibitory functions, and KIR3DL1/S1 has mutually exclusive subsets of allotypes with activating (KIR3DS1) and inhibitory properties [14]. This diversity in gene content contributes to the functional diversity of KIRs and their role in modulating NK cell functions through interactions with their ligands, particularly HLA class I molecules. Various combinations of KIR genes are inherited as A and B haplotypes consisting of KIRDL3, KIR3DP1 KIR2DL4, and KIR3DL2 as framework genes present in all KIR haplotypes along with each haplotype associated activating and inhibitory genes [15]. KIR haplotypes are divided into centromeric half by KIRDL3 and KIR3DP1 and telomeric region by KIR2DL4 and KIR3DL2. [16, 17].

Recent studies have suggested that carrying certain KIRs were associated with developing a severe form of COVID-19 [18,19,20]. These genetic variations can affect the activity and function of NK cells to recognize and eliminate infected cells. This gene variant has been found to enhance the activation of NK cells, leading to an exaggerated immune response and the development of severe symptoms [6, 20, 21]. We aimed to define the association between certain KIR genotypes with severity of disease in COVID-19 in an Iranian population.

Materials and methods

Study population

This study involved 394 patients with COVID-19 who were admitted to Faghihi Hospital of Shiraz University of Medical Sciences between June 1 and December 1, 2021.Real-time polymerase chain reaction (RT-PCR) on nasopharyngeal swabs was used to confirm the diagnosis of SARS-CoV-2 infection. Participants were classified into two groups of hospitalized patients (n = 198) with severe disease who received high-flow nasal oxygen supplementation or ventilation, and mild disease group (n = 196) having mild upper respiratory tract infection including loss of smell or taste runny nose, headache, dry cough and flu-like symptoms.

The sample size calculation indicated that a minimum of 195 patients is necessary to maintain a precision of 2% in the 95% confidence interval for estimating the prevalence of genotypes in the studied population.

Sampling, DNA extraction and KIRs genotyping

Peripheral blood samples (2mL) were collected from COVID-19 patients. Samples were collected according to the rules and regulations of the Human Research Ethics Committee of Shiraz University of Medical Sciences (IR.SUMS.REC.1400.462). Informed consent was obtained from participants prior to participating in this research.

DNA was extracted using the salting-out method [22]. In brief, 2 mL of whole blood was added to 1 mL lysis buffer (0.15 M NaCl, 5mM EDTA pH 8.0 and 2% (w/v) SDS, and proteinase K. The mixture was incubated at 55–65 °C overnight to digest proteins and cellular debris. Then a high concentration of saturated NaCl was added to the mixture, which decreases protein solubility due to the high salt concentration, resulting in protein precipitation. The mixture was then centrifuged at 2500 rpm for 15 min, and the DNA-containing supernatant was pipetted into a fresh tube. The DNA can then be precipitated using ethanol (70%), and the precipitate was washed with ethanol to remove remaining contaminants(75%). The precipitated DNA was then dissolved in an aqueous buffer like Tris-EDTA or nuclease-free water and is ready for use in downstream applications.

KIR genotyping of 11 KIR genes (KIR2DL1, KIR2DL2, KIR2DL3, KIR3DL1, KIR2DL5, KIR2DS1, KIR2DS2, KIR2DS3, KIR2DS5, KIR3DS1, and KIR2DS4) was completed by sequence specific primers-polymerase chain reaction (PCR-SSP) method, as described in previous studies [15, 23, 24]. In brief, in the case KIR genotyping using PCR-SSP, the process involves the use of a set of primers that are specific to each KIR gene of interest (Supplementary Table 1). These primers are designed to bind to specific regions within the KIR genes, allowing for the amplification of those regions when the PCR reaction is performed. By comparing the amplified products to a reference, the absence or presence of each KIR gene can be determined.

For adjusting the protocol, 100 ng of genomic DNA was subjected to PCR using 5 µl of Taq DNA Polymerase 2x Master Mix (Parstous, iran). PCR was conducted in the following circumstances: “Two minutes of initial denaturation at 95°C, followed by 10 cycles of 10 s at 94°C and 40 s and 65°C respectively; and then 20 cycles of 94°C for 20 s, 61°C for 20 s and 72°C for 30 s”.

Around 5 µl of the PCR product was stained with dye safe stain (Pars Tous, Iran) and then load in 2% agarose gel and in 4% agarose gel for segregation of the KIR2DS4 full and deleted variants. The gel was viewed with a GelDoc (BIO-RAD, U.S.A).

PCR product size for each KIR gene was detected by comparing the band size against DNA ladder (Pars Tous, Iran). KIR genotypes (Bx, AA), A and B haplogroups, clusters and Bx subsets were defined according to individuals KIRs content using specific formulas described previously [15].

Statistical analysis

Data were analyzed using SPSS statistical software (version 20). The frequency of each gene and haplotype was compared between mild and severe groups. The p-value < 0.05 was considered statistically significant for two-sided Chi-square test with Yates’s correction to adjust the differences. The odds ratio (OR) and 95% confidence interval (CI) were calculated in order to examine the magnitude and statistical significance of the association.

Results

Demographic characteristics

In this study, 394 patients with COVID-19 were divided into two groups matched for age and sex. Patients were from Fars province which is located in the south of Iran. The mean age for patients in severe disease group was 40.4 ± 9.2 and 40.5 ± 9.8 for patients with mild illness (Table 1).

Table 1 Demographic characteristics of COVID-19 patients

This study excluded patients with common underlying diseases including diabetes, hypertension, cardiovascular disease, autoimmunity and cancer (Fig. 1).

Fig. 1
figure 1

Flow diagram of Inclusion/exclusion of patients

Predisposing role of KIR2DS1 and KIR2DS2 and protective role of KIR2DL3 and deleted variant of KIR2DS4 in development of severe form of COVID-19

To examine the potential contribution of KIR genes and genotypes as a genetic risk factor for COVID-19 severity, the KIR genes frequency was compared in to groups classified as mild and severe (Table 2).

Table 2 Comparing the carrier frequency of KIR genes in the groups with severe or mild disease

A signifiant decrease was found in the carrier frequency of activating KIR2DS1 (p = 0.004, OR = 0.553, CI = 0.366–0.831) and KIR2DS2 (p = 0.017, OR = 0.611, CI = 0.406–0.917) in patients with severe symptoms compared to patients with mild disease. In case of inhibitory KIRs, patients carrying KIR2DL3 constituted a higher proportion in severe group when compared with the mild one (p = 0.001, OR = 1.132, CI = 1.048–1.223).

KIR2DS4 variants distribution were analyzed by classifying patients into three groups as 2DS4fl, 2DS4del and 2DS4 fl., del according to the presence/absence of full and deleted variants both in tandem and apart [13]. The COVID-19 patients with severe disease had a greater prevalence of deleted variant of KIR2DS4 compared to the mild group (p = 0.03, CI = 1.032–2.429 ، OR = 1.58). These finding may indicate that activating KIR2DS1 and KIR2DS2 confer protection against developing severe disease while KIR2DS4del and inhibitory KIR2DL3 increase the risk of severe disease in patients with COVID-19.

The protective role of BB genotype, B haplotype, and the association of a haplotype with the severity of COVID-19

Based on the presence and absence of activating and inhibitory KIRs, A and B haplotypes were determined for each individual. Genotype consists of KIR A haplotype associated genes 3DL3, 2DL1, 2DL3, 2DL4, 3DL1, 2DS4 and 3DL2 were referenced to homozygous group A haplotype or KIR AA genotype. The remaining genotypes possessing at least one or more B haplotype associated genes (2DS1, 2DS2, 2DS3, 2DS5, 3DS2 and 2DL5) and thus having one (heterozygous for A and B haplotypes) or two B haplotypes (homozygous for B haplotypes) were defined as KIR Bx genotype [10].

The B haplotype was observed with a higher frequency in the mild disease group than in the severe disease group was observed (p = 0.02, OR = 0.714, CI = 0.539–0.945). The A haplotype was observed more frequently in the severe disease group (p = 0.02, OR = 1.4, CI = 1.058–1.855). According to the linkage disequilibrium between centromeric and telomeric haplotypes, two distinct KIR genes clusters are defined as C4 (KIR2DS2-2DL2-2DS3-2DL5B) and T4 (KIR3DS1-2DL5A-2DS5-2DS1 clusters which frequently occurred in individuals [25].

Based on the presence of four genes or the absence of one or more genes in each cluster, the Bx genotype is divided into 4 subgroups: including C4Tx, CxT4, C4T4, and CxTx (Table 3). The picture of haplotype of studied group have considered in a supplementary Table 2.

Table 3 The frequency of the KIR genotypes and haplotypes in the study population

Association of the number of inherited inhibitory KIR (iKIR) and activating KIR (aKIR) genes with the protection or severity of COVID-19

KIR genes are inherited in different combinations and various number of activating and inhibitory genes. Carriers of Bx genotypes can express 2 to 6 activating KIRs and up to six inhibitory KIRs whereas individuals with AA genotype may represent one activating KIR2DS4 and four inhibitory KIRs.

As displayed in Table 4, individuals with greater number of activating than inhibitory KIRs (aKIRs > iKIRs) constituted a higher proportion of COVID-19 patients with mild symptoms than severe disease (p = 0.01, OR = 0.530, CI = 0.305–0.909) while patients with severe COVID-19 carried more inhibitory than activating KIRs (iKIRs > aKIRs: p = 0.01, OR = 1.7, CI = 1.11–2.263). In addition, In our study, individuals in the severe disease group mostly inherited only one activating gene (p = 0.014, OR = 1.650, CI = 1.098–2.479), while most individuals in the mild disease group had 3 activating genes (p = 0.031, OR = 0.683, CI = 0481 − 0.970).

.

Table 4 Distribution of different KIR numbers and comparisons of KIR numbers between the severe and mild disease groups

Discussion

The majority of patients with COVID-19 are asymptomatic or have only mild symptoms. However, some patients suffer from a severe or critical form of the disease that is complicated [27]. The clinical manifestations of COVID-19 are influenced by the host immune system, viral load, environmental factors and various types of co-morbidities, especially obesity and previous respiratory or cardiac illnesses [28].

The innate immune cells, especially NK cells, belong to the first line of defense against viruses [29]. Unlike T lymphocytes, their target identification is not specific. NK cell activation depends on the baance between activating and inhibitory KIRs and their ligands [30]. One interesting finding in this study is an association between some KIR genotypes and COVID-19 disease severity. The frequency of KIR2DS1 and KIR2DS2 genes in the mild disease subjects was higher than in the severely ill patients. In support of this, a study performed in Italy showed that the KIR2DS2 gene frequency was significantly increased in the mild form of COVID-19 compared to the severe one. In addition, their findings showed that the combination of KIR2DS2/HLA-C1 was significantly more common in asymptomatic or in patients with mild disease [6]. Another investigation also emphasized a protective role for activating KIRs in hospitalized COVID-19 patients admitted to the ICU. The KIR2DS5 gene was significantly associated with the recovery from a severe form of COVID-19 [31]. In addition to COVID-19, the protective role of KIR2DS2 has been reported in other viral diseases. For example, the activator gene KIR2DS2 has a protective role against Cytomegalovirus infection in kidney transplantation [32]. Bonagura et al. reported a possible role of activating receptors, such as KIR3DS1 and KIR2DS1, in generating an effective primary immune response against HPV to induce resistance to HPV-induced recurrent respiratory papillomatosis [33]. NK cell activity relies on a balance of inhibitory and activating receptor signals to determine which target cells are attacked or tolerated.

A comparison of the findings with other studies confirms that the balance of KIRs signals in the mild disease group was in favor of NK cell activation, resulting in early virus clearance and prevention of severe clinical manifestations. Contrary to the findings of COVID-19, the KIR3DS1, KIR2DS5, and KIR2DL5 genes are associated with the severity of influenza A disease [34]. The researchers in this study suggested that high numbers of KIR-activating genes may led to stronger NK cell activation and severe inflammation. However, the small sample size and non-exclusion of patients with underlying diseases as diabetes, which can affect susceptibility to severe types of influenza, were the limitations of this study. Regarding the inhibitory receptors, our finding indicates that the frequency of the inhibitory gene KIR2DL3 was significantly higher in the severe disease group. In addition, the frequency of the inhibitory genes 3DL1 and 2DL2 was higher in the severe disease group than in the mild group. The results of Meira Leite et al. showed that the inhibitory gene KIR2DL3 and the AA genotype were associated with the daily mortality rate in patients, while there was a negative association between the activating gene KIR2DS2 and the daily mortality rate [35]. Furthermore, the study by Hajeer et al. also suggested that KIR3DL1 genes are related to an increased risk for severe COVID-19 [20]. The general conclusion of these studies is thus that inhibitory KIR genes are associated with the severe form of COVID-19.

Inhibitory KIRs reduce the antiviral response of NK cells, allowing an increased viral replication. This could lead to the recall of other immune cells to the lungs, cytokine storm and ARDS in the severe form of COVID-19. In another study, researchers showed that KIR2DL2/HLA-C1C1 pairing may be a risk factor for SARS-CoV-2 infection [36]. The outcomes of their study showed that inhibitory KIRs through their inhibitory signals lead to impaired antiviral function of NK cells. Consequently, the inability of infected cells to effectively eliminate the virus led of more severe clinical symptoms.

A comparison of AA genotype carriers in the two groups of patients and controls in terms of KIR2DS4 variants revealed that the frequency of the del/del genotype was significantly higher in severely ill COVID-19 patients. This result may be explained by the fact that the lack of activating signals for NK in AA genotype carriers homozygous for the KIR2DS4 del variant [13]. The results of this study are consistent with previous observational studies. Two studies on COVID-19 patients have shown that the KIR2DS4 gene is associated with the risk of severe COVID-19, although KIR2DS4 variants were not identified [20, 37]. Interestingly, the frequencies of genotype BB and haplotype B in the mild disease group were significantly higher than in the severe disease group. Haplotype A was more frequent in the severe than the mild disease group, suggesting that people carrying haplotype A and the del/del 2DS4 variant may be at a high risk for COVID-19 severity. In contrast, haplotype B and genotype BB, due to having a greater number of activating genes, could lead to an effective NK cell function, especially at the beginning of the response to the virus. Other interesting findings indicated that all human populations have both group A and B haplotypes, but their distribution varies considerably among different populations. In Africans and Caucasians, haplotypes A and B are equally distributed. Conversely, in Northeast Asians (Chinese, Japanese, and Korean) haplotype A is common, while genotypes AB or BB are common in Native Americans, Australians, and Indians [23].

The results of this study are in line with a previous study showing that haplotype A and genotype AA are related to the risk of the severe disease form [20]. Based on the above findings, the BB genotype could be a protective factor for COVID-19, because it is linked to a higher activity of NK cells against viral infections. According to inherited patterns and the numbers of activating and inhibitory KIRs genes, the haplotypes are different in people. The numbers of aKIRs and iKIRs were measured to assess the difference between the numbers of activating or inhibitory KIR genes in the studied groups. The data shows a higher number of aKIR in individuals with mild vs. severe disease (mild group: aKIR = 3, severe disease group: aKIR = 1). Interestingly, the proportion of iKIR > aKIR was higher in the severe disease groups than in the mild disease group. These results agree with the findings of Zaia et al., indicating that recipients of hematopoietic cell transplants from donors with a higher number of aKIR can control early Cytomegalovirus infection and are less likely to be re-infected [38]. However, these results differ from the study by Aranda-Romo et al., which showed that patients with severe influenza infection had ≥ 3 KIR-activating genes; this number was significantly higher than healthy people [34]. The conflicting results may be due to the nature of infectious agent or different number of subjects in the studies. In conclusion, our results confirm previous findings and bring forward additional evidence to suggest that carrying a certain KIR gene content (KIR2DL3,2DS4del and haplotype A) is associated with COVID-19 disease severity. In addition, it can be assumed that inheriting the activating KIR gene set (KIR2DS1, 2DS2, B haplotype, and BB genotype) has a potentially protective effect against severe COVID-19 symptoms. A drawback of our study is that we could not evaluate the HLA types in our patients. However, any subjects with comorbidity were excluded from this study.

Conclusion

This study showed that the frequency of activating KIRs were higher in patients with mild vs. severe COVID-19. These KIR genes are related to a higher activity of NK cells and may contribute to why patients do not develop severe COVID-19. While these findings align with existing literature, it is important to note, the impact of KIR genes on COVID-19 susceptibility and severity is still an area of ongoing research. More studies are needed to fully understand the relationship between the KIR genetic variations and disease outcomes. In addition, other factors such as age, underlying diseases and various environmental factors may also play a significant role in determining an individual’s susceptibility to severe COVID-19 and should be factored into these studies.

Data availability

The datasets generated and/or analyzed during the current study are not publicly available due to privacy and ethical concerns but are available from the corresponding author on reasonable request.

Abbreviations

KIR:

Killer cell Immunoglobulin-like Receptor

COVID-19:

Coronavirus disease 2019

WHO:

World Health Organization

NK cell:

Natural Killer cell

MHC-I:

Major Histocompatibility Complex type I

Tel:

Telomeric

Cen:

Centromeric

SSP-PCR:

Polymerase chain reaction-sequence specific

References

  1. Rahman S, et al. Epidemiology, pathogenesis, clinical presentations, diagnosis and treatment of COVID-19: a review of current evidence. Expert Rev Clin Pharmacol. 2021;14(5):601–21.

    Article  CAS  PubMed  Google Scholar 

  2. Yang L, et al. COVID-19: immunopathogenesis and immunotherapeutics. Signal Transduct Target Therapy. 2020;5(1):1–8.

    CAS  Google Scholar 

  3. https://covid19.who.int/table.

  4. Melis M, Littera R. Undetected infectives in the Covid-19 pandemic. Int J Infect Dis. 2021;104:262–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Backer JA, Klinkenberg D, Wallinga J. Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020. Eurosurveillance. 2020;25(5):2000062.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Littera R, et al. Natural killer-cell immunoglobulin-like receptors trigger differences in immune response to SARS-CoV-2 infection. PLoS ONE. 2021;16(8):e0255608.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Rippinger C, et al. Evaluation of undetected cases during the COVID-19 epidemic in Austria. BMC Infect Dis. 2021;21(1):1–11.

    Article  Google Scholar 

  8. Lee MJ, Blish CA. Defining the role of natural killer cells in COVID-19. Nat Immunol. 2023;24(10):1628–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Mele D, et al. Long-term dynamics of natural killer cells in response to SARS‐CoV‐2 vaccination: persistently enhanced activity postvaccination. J Med Virol. 2024;96(4):e29585.

    Article  CAS  PubMed  Google Scholar 

  10. Rajalingam R. Human diversity of killer cell immunoglobulin-like receptors and disease. Korean J Hematol. 2011;46(4):216.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Pende D, et al. Killer Ig-like receptors (KIRs): their role in NK cell modulation and developments leading to their clinical exploitation. Front Immunol. 2019;10:461739.

    Article  Google Scholar 

  12. Rajalingam R. Overview of the killer cell immunoglobulin-like receptor system. Immunogenetics: Methods and Applications in Clinical Practice, 2012: pp. 391–414.

  13. Barani S, Hosseini SV, Ghaderi A. Activating and inhibitory killer cell immunoglobulin like receptors (KIR) genes are involved in an increased susceptibility to colorectal adenocarcinoma and protection against invasion and metastasis. Immunobiology. 2019;224(5):681–6.

    Article  CAS  PubMed  Google Scholar 

  14. Parham P, et al. Human-specific evolution of killer cell immunoglobulin-like receptor recognition of major histocompatibility complex class I molecules. Philosophical Trans Royal Soc B: Biol Sci. 2012;367(1590):800–11.

    Article  CAS  Google Scholar 

  15. Barani S, et al. KIR2DS1, 2DS5, 3DS1 and KIR2DL5 are associated with the risk of head and neck squamous cell carcinoma in iranians. Hum Immunol. 2018;79(4):218–23.

    Article  CAS  PubMed  Google Scholar 

  16. Martin AM, et al. The genomic organization and evolution of the natural killer immunoglobulin-like receptor (KIR) gene cluster. Immunogenetics. 2000;51:268–80.

    Article  CAS  PubMed  Google Scholar 

  17. Vilches C, Parham P. KIR: diverse, rapidly evolving receptors of innate and adaptive immunity. Annu Rev Immunol. 2002;20(1):217–51.

    Article  CAS  PubMed  Google Scholar 

  18. Maruthamuthu S, et al. Individualized constellation of killer cell immunoglobulin-like receptors and cognate HLA class I ligands that controls natural killer cell antiviral immunity predisposes COVID-19. Front Genet. 2022;13:845474.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Bernal E, et al. Activating killer-cell immunoglobulin-like receptors are associated with the severity of coronavirus disease 2019. J Infect Dis. 2021;224(2):229–40.

    Article  CAS  PubMed  Google Scholar 

  20. Hajeer A, et al. Association of KIR gene polymorphisms with COVID-19 disease. Clin Immunol. 2022;234:108911.

    Article  CAS  PubMed  Google Scholar 

  21. Aranda-Romo S, et al. Killer-cell immunoglobulin-like receptors (KIR) in severe A (H1N1) 2009 influenza infections. Immunogenetics. 2012;64(9):653–62.

    Article  CAS  PubMed  Google Scholar 

  22. MWer S, Dykes D, Polesky H. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids res. 1988;16(3):1215.

    Article  Google Scholar 

  23. Ashouri E, et al. KIR gene content diversity in four Iranian populations. Immunogenetics. 2009;61:483–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Vilches C, et al. Facilitation of KIR genotyping by a PCR-SSP method that amplifies short DNA fragments. Tissue Antigens. 2007;70(5):415–22.

    Article  CAS  PubMed  Google Scholar 

  25. Barani S, Taghipour M, Ghaderi A. Positive association of bx genotype, KIR2L5, KIR2DS5 and full-length KIR2DS4 with the risk of meningioma. Immunobiology. 2020;225(2):151900.

    Article  CAS  PubMed  Google Scholar 

  26. Barani S, Khademi B, Ghaderi A. KIR2DS4, KIR2DL2, and KIR2DS4del are linked with basaloid tumors, lymph node metastasis, advanced stage and metastatic risk in head and neck squamous cell carcinoma. Exp Mol Pathol. 2020;112:104345.

    Article  CAS  PubMed  Google Scholar 

  27. Samadizadeh S, et al. COVID-19: why does disease severity vary among individuals? Respir Med. 2021;180:106356.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Hasabo EA, et al. Clinical manifestations, complications, and outcomes of patients with COVID-19 in Sudan: a multicenter observational study. Trop Med Health. 2021;49(1):1–13.

    Article  Google Scholar 

  29. Zucchini N, et al. Natural killer cells in immunodefense against infective agents. Expert Rev anti-infective Therapy. 2008;6(6):867–85.

    Article  CAS  PubMed  Google Scholar 

  30. Abel AM, et al. Natural killer cells: development, maturation, and clinical utilization. Front Immunol. 2018;9:1869.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lesan V, et al. Killer immunoglobulin-like receptor 2DS5 is associated with recovery from coronavirus disease 2019. Intensive Care Med Experimental. 2021;9:1–10.

    Article  Google Scholar 

  32. Deborska-Materkowska D, et al. Killer immunoglobulin-like receptor 2DS2 (KIR2DS2), KIR2DL2-HLA-C1, and KIR2DL3 as genetic markers for stratifying the risk of cytomegalovirus infection in kidney transplant recipients. Int J Mol Sci. 2019;20(3):546.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Bonagura VR, et al. Activating killer cell immunoglobulin-like receptors 3DS1 and 2DS1 protect against developing the severe form of recurrent respiratory papillomatosis. Hum Immunol. 2010;71(2):212–9.

    Article  CAS  PubMed  Google Scholar 

  34. Aranda-Romo S, et al. Killer-cell immunoglobulin-like receptors (KIR) in severe A (H1N1) 2009 influenza infections. Immunogenetics. 2012;64:653–62.

    Article  CAS  PubMed  Google Scholar 

  35. de Meira Leite M, et al. Predictive immunogenetic markers in COVID-19. Hum Immunol. 2021;82(4):247–54.

    Article  Google Scholar 

  36. Hu S et al. The KIR2DL2/HLA-C1C1 gene pairing is Associated with an increased risk of SARS-CoV-2 infection. Front Immunol, 2022. 13.

  37. Maruthamuthu S et al. Individualized constellation of killer cell immunoglobulin-like receptors and cognate HLA class I ligands that controls natural killer cell antiviral immunity predisposes COVID-19. Front Genet, 2022. 13.

  38. Zaia JA, et al. The effect of single and combined activating killer immunoglobulin-like receptor genotypes on cytomegalovirus infection and immunity after hematopoietic cell transplantation. Biol Blood Marrow Transplant. 2009;15(3):315–25.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Here, I would like to thank the patients who generously accept to participate in the study.

Funding

Kurosh Kalantar, Reza Shafiei and Seppo Meri.

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Authors and Affiliations

Authors

Contributions

Conceptualization: K.K, S.B. Genotypic and Statistical Analysis: N.K, M. F, S. B and K. K. Funding Acquisition: K. K, R .S and S. M. Investigation, Methodology and Visualization: N.K. Resources: K.K, R. S and S.M. Supervision: K.K. Validation: K.K and S.B. Writing – Original Draft Preparation: N.K and M.F. Final Writing – Review & Editing: K.K, R.S, S.B, SM.

Corresponding authors

Correspondence to Reza Shafiei or Kurosh Kalantar.

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All methods were carried out in accordance with relevant guidelines and regulations. This project was approved by the ethical committee of Shiraz University of Medical Sciences (SUMS, code IR.SUMS.REC. 1399.001).

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Not Applicable.

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The authors declare no competing interests.

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Karami, N., Barani, S., Fani, M. et al. The effects of killer cell immunoglobulin-like receptor (KIR) genes on susceptibility to severe COVID-19 in the Iranian population. BMC Immunol 25, 38 (2024). https://doi.org/10.1186/s12865-024-00631-1

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