1. Introduction
Type 1 diabetes mellitus (T1DM) is a complex autoimmune disease with genetic implications defined by a T-cell mediated destruction of pancreatic β cells leading to uncontrolled hyperglycemia and insulin-dependence [
1]. It occurs mainly in childhood and adolescence, although cases in adulthood are not so uncommon, and it is known as Latent Autoimmune Diabetes [
2]. People with LADA may have a residual β cells function, and diabetes onset could be slow and free of insulin dependence for years after the diagnosis.
We can recognize two different groups, one represented by Autoimmune Diabetes Mellitus: the first one is caused by beta cells destruction by antibodies, that mostly affects subjects in their infancy and adolescence. The other group is represented by Asian and African ethnicity, with a still controversial pathogenesis, the presence of hyper-glycemia but no autoimmune evidence.
The development of T1DM is the result of an elaborate interplay of multiple genetic and environmental factors are still poorly recognized, although evidence seems to point out that the environment plays a role in T1DM expression, as it is demonstrated from different expressions in genetically similar populations [
3].
In fact, chronic low-grade inflammation and environmental factors seem to play a crucial role in the development of this pathology.
In 2021, T1DM involved 8.4 million individuals, of these 18% (1.5 million) were younger than 20 years [
4].
Human leukocyte antigen (HLA) class ΙΙ genes have been proven to play a relevant role in defining a relevant risk to develop T1DM [
5].
Interleukin-1α (IL-1α), a well-known pro-inflammatory cytokine, plays a relevant role in immune response and inflammatory regulation. For this reason, single nucleotides polymorphisms (SNPs) could lead to different proteins with an influence on the immune response and, subsequently, with measures of glucose homeostasis and diabetes [
6].
Recent advances in research highlighted that patients affected by T1DM have an altered Interleukin expression.
Chronic Periodontitis (CP), a pathology characterized by progressive loss of periodontal attachment and subsequent tooth loss have been demonstrated to be in tight conjunction with DM. as this could be considered the sixth complication of DM [
7].
Although systemic low-grade inflammation, as an expression of IL polymorphism, seems to play a role in Chronic Periodontitis (CP) development, few studies in literature have investigated this aspect in the last years.
In the recent past, few studies have been conducted to assess if IL polymorphism could be considered a preventive measure to assess the risk of developing CP or its evolution. One of these evaluated the presence of IL-1 SNPs in association with the presence of other risk factors in order to stratify population in different range of risk to develop CP and evaluate the effectiveness of preventive care. Aim of that paper was to assess where resources for preventive treatments should be better targeted to achieve the better results in terms of prevention and care. [
8]
On the other hand, a recent study about the relation of IL-8 polymorphism and CP revealed that although the relation between IL-8 and DM is clearly assessed, in the evaluated sample the relation between the circulation of periodontal bacteria and circulating IL-8 was not confirmed. Therefore, the relationship between CP and IL-8 polymorphism, although advocated, was not validated [
9]. In another study, although a relation between IL-17 and T1DM control and “red complex” occurrence in both diabetic patients with CP and patient with CP, at the same time the principal limit of the study was related to the relatively low number of the sample [
10]. Aim of the present study is to evaluate the relationship between IL polymorphism, T1DM and CP.
2. Materials and Methods
A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for systematic reviews and meta-analysis [
11] and registered on PROSPERO - International prospective register of systematic reviews – with ID code CRD42022358862 [
12].
Literature Search
To identify relevant studies investigating the linking between T1DM and interleukins polymorphisms, a comprehensive search of PubMed and Scopus, using the Patient/Population/Problem, Intervention, Comparison and Outcome (PICO) format, was conducted regarding the last 5 years.
Population: humans and animals;
Intervention: interleukins polymorphisms in healthy subjects;
Comparator: interleukins polymorphisms in T1DM patients/animals;
Outcomes: correlation between interleukins polymorphisms and T1DM.
The following MeSH were used: “interleukins polymorphisms type 1 diabetes mellitus”, “and periodontitis”.
Eligibility Criteria
The inclusion criteria were as follows: all studies analyzing the variety of polymorphisms among interleukins linked with T1DM, in humans and animals.
The exclusion criteria were as follows: research about polymorphisms of other cytokines; papers about the linking between interleukins and other pathological conditions; systematic reviews; metanalyses; editorials; abstracts.
Assessment of Methodological Quality
The methodological quality of included studies was assessed using the prediction model risk of bias assessment tool Newcastle-Ottawa Quality Assessment Scale (
Table A1). A qualitative description of the characteristics of the included studies as well as a narrative data synthesis was performed.
3. Results
3.1. Overall Scenario
The initial search provided a total of 277 items; in detail 32 from PubMed and 245 from Scopus. No paper was removed because ineligible by automation tools, while 25 records were removed for other reasons, for example, for the study of other diseases in addiction of diabetes, or for the analyses of other cytokines. 252 articles accessed the screening phase, and a total of 205 items were removed because of lack of interest in shown data (202) or because represented a systematic review with or without metanalysis (3). Eligibility was assigned to 47 records from which 16 were removed for being duplicates, 9 for being abstracts and 1 for being an editorial. Finally, a total of 21 papers were involved for the inclusion phase (
Figure 1).
A detailed table was drawn up including each eligible article, authors, year, population, nationality, type of sample, interleukin, polymorphism (
Table 1). A brief narrative summary is shown in
Table A2.
3.2. Detailed Results
None of the included articles concerned animals. Regarding the population age 38.1% (8/21) of items refers to adults, 23.8% (5/21) refers to children and adolescents, 14.3% (3/21) refers to adolescents, 9.5% (2/21) refers to children, 9.5% (2/21) refers to all ages and finally 4.8% (1/21) refers to children and adults. As concerns ethnicity the most investigated was the German population in 19% (4/21) of studies, followed by the Euro-Brazilian people in 14.3% (3/21) of studies. Other ethnic groups such as Chinese, Saudi, Egyptian and Czech appeared each in 9.5% (2/21) of reports. The least investigated cluster were Iranian, Indian, Thai, Scandinavian, Emiratis and Brazilian in 4.8% (1/21) of cases. Interleukins analyzed in descending order were IL-6, IL-2, IL-7, IL-1, IL-10, IL-17, IL-4, IL-8, IL-18 and finally IL-12. The most used technique to examine these specific cytokines was the Polymerase Chain Reaction (PCR), more rarely the Next Generation Sequencing (NGS), spectrophotometry, mass spectometry and flow citometry. All included studies used peripheral blood samples to perform these tests. Only 14.3% (3/21) of items discusses about periodontitis.
4. Discussion
A systematic review following the PRISMA flowchart was performed in order to assess the state-of-the-art about the relationship between ILs SNPs and T1DM, furthermore the link with periodontitis was investigated as well. Due to a considerable heterogeneity in polymorphisms regions and among several interleukins’ measures, a formal meta-analysis was not carried out.
IL-1 and its SNPs were investigated by Li J. et al. [
21], more specifically authors established that the concentration of IL-1β in T1DM patients was significantly higher than that in healthy controls. Tangjittipokin W. et al. [
23] assessed that IL1B SNPs are associated with T1DM susceptibility.
IL2RA gene variants might increase the risk of developing vascular complications in people with T1DM [
25] and could confer risk alleles for T1D among the Emirati population [
26].
Osman A. E. et al. [
22] found out ILs (IL-1A/B, IL-2, IL-12) levels in T1DM were higher than controls.
The SNP associated with low production of IL-4 increases the risk of T1DM in young individuals carrying vulnerable HLA alleles/haplotypes [
15].
IL-6 was well investigated by Haghnazari L. et al. [
18], assessing that the G allele of SNP rs1042522 encoding the TP53 gene for IL-6 increases the risk of developing DM in Iranian population. At the same time, IL-6R rs2228145 was associated with T1D develoment in adulthood [
29].
SNPs for IL-7 in T1DM patients was investigated in several valuable works [
13,
19,
30,
31]. Hoffman M. et al. [
13] revealed a higher sIL-7R serum concentrations at T1DM onset and decreasing levels during therapy, whereas IL-7 was only higher in long term patients as compared to controls. Hehenkamp P. et al. [
19] elucidated that T1DM monocytes have impaired IL-7 response and lower IL-7R expression. According to Lundtoft C. et al. [
30] IL-7Rα variants may contribute to disease susceptibility against T1D. Finally, Seyfarth J. et al. [
31] pointed out that only T1DM children with the protective haplotype had lower IL-7 serum levels.
Regarding IL-10, El Helaly R.M. et al. [
17] stated that AA genotype and A allele of IL-10 rs1518111 SNP could be linked to increased risk for T1DM among Egyptian children.
With reference to IL-17, increased serum IL-17A is a risk factor for autoimmune T1DM [
14].
Finally, IL-18 has a controversial role because the IL-18 gene promoter polymorphisms might be associated with susceptibility to T1DM in Egyptian children [
16] and with T1DM age onset [
27], but at the same time according to Campos L. P. et al. [
24] IL-18 polymorphisms were not associated with T1DM onset in children or adults in this population, along with Al-Lahham Y. et al. [
32], according to which IL-18 rs187238 was not associated with T1DM in Euro-Brazilian population.
The burden of CP is investigated only in few studies in the present review. In particular, Kumar S. et al. [
20] found out that IL-17A polymorphism was not associated with increased risk for CP in T1DM patients. In a similar way, Borilova Linhartova P. et al. [
28] considered the variability in the IL-1B and IL-1RN genes as possible factor in the susceptibility to T1DM and CP, although the single variants of these polymorphisms are not crucial for the protein production. The same authors also explored the IL-8 role, concluding that CP does not influence the circulating IL-8 levels and that patients with T1DM and CP had higher circulating IL-8 levels than healthy controls with CP and non-periodontitis subjects [
9]. It has to be stressed that all of these studies about CP referred to adults, while childhood and adolescence seemed to be left out.
Limitations of the Study
A crucial factor of our review was the challenge to overcome studies heterogeneity in terms of methods of interleukin analysis and direct or indirect correlation of T1DM and its complications. Sometimes authors left out the specific technique of analysis creating an important bias that must be kept in mind. Finally, other confounding factors were represented by the existence of several polymorphisms’ detection for the same interleukin.
5. Conclusions
To the best of our knowledge, ILs SNPs still represents a controversial field in the understanding of the inflammation aspects in T1DM. Most of the studies analyzed pointed out how a higher ILs concentration is present in this specific population, but an univocal explanation about the genetic characterization is not completely available.
It seems that CP is an adjunctive factor for the production of IL-8, however SNPs of specific interleukins (IL-1B, IL-17) do not qualify as risk factors in the susceptibility of T1DM and CP. More clinical trials are needed on this topic in order to clarify the pathogenetic mechanisms of SNPs in the T1DM genesis in patients with and without CP.
T1DM still needs to be thoroughly explored regarding the ILs polymorphisms panel, however the last 5 years have pointed out some autonomous inflammatory effects which requires further investigations. CP and T1DM association in children and adolescents represents a severe gap in literature that should be filled, the scarce presence of studies also about adults serves as a motivation for ulterior clinical researches.
Author Contributions
Conceptualization, S.D.; methodology, S.D..; validation, S.D., G.V., F.I., M.D., investigation, S.D. and G.V.; resources, G.V.; data curation, G.V.; writing—original draft preparation, S.D., M.D., G.V.; writing—review and editing, S.D. and G.V..; supervision, M.D. and S.D.; project administration, S.D. and F.I. . All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Newcastle-Ottawa Quality Assessment Scale. Possible total points were 4 points for selection, 2 points for comparability and 3 points for exposure [
33].
Table A1.
Newcastle-Ottawa Quality Assessment Scale. Possible total points were 4 points for selection, 2 points for comparability and 3 points for exposure [
33].
Authors/Year |
Selection |
Comparability |
Exposure |
Total Score |
Hoffman M. et al. 2022 [13] |
3 |
1 |
2 |
6 |
Li J. et al. 2022 [14] |
3 |
1 |
2 |
6 |
Osman A. E. et al. 2022 [15] |
2 |
1 |
2 |
5 |
Ali Y. et al. 2021 [16] |
2 |
1 |
2 |
5 |
El Helaly R.M. et al. 2021 [17] |
3 |
1 |
2 |
6 |
Haghnazari L. et al. 2021 [18] |
3 |
2 |
2 |
7 |
Hehenkamp P. et al. 2021 [19] |
2 |
1 |
2 |
5 |
Kumar S. et al. 2021 [20] |
3 |
1 |
2 |
6 |
Li J. et al. 2021 [21] |
3 |
2 |
2 |
7 |
Osman A. E. et al. 2021 [22] |
2 |
1 |
2 |
5 |
Tangjittipokin W. et al. 2021 [23] |
3 |
1 |
2 |
6 |
Campos L. P. et al. 2020 [24] |
3 |
1 |
2 |
6 |
Keindl M. et al. 2020 [25] |
3 |
2 |
1 |
6 |
Sharma C. et al. 2020 [26] |
2 |
2 |
2 |
6 |
Boechat-Fernandes A. et al. 2019 [27] |
1 |
1 |
1 |
3 |
Borilova Linhartova P. et al. 2019 [28] |
3 |
1 |
2 |
6 |
Campos L. P. et al. 2019 [29] |
3 |
1 |
2 |
6 |
Lundtoft C. et al. 2019 [30] |
3 |
2 |
2 |
7 |
Borilova Linhartova P. et al. 2018 [9] |
3 |
2 |
2 |
7 |
Seyfarth J. et al. 2018 [31] |
3 |
1 |
2 |
6 |
Al-Lahham Y. et al. 2017 [32] |
3 |
1 |
2 |
6 |
Table A2.
Articles matching inclusion criteria. CP, chronic periodontitis.
Table A2.
Articles matching inclusion criteria. CP, chronic periodontitis.
Authors/Year |
Conclusions |
Hoffman M. et al. 2022 [13] |
There is higher sIL-7R serum concentrations at T1DM onset and decreasing levels during therapy, whereas IL-7 was only higher in long term patients as compared to controls. |
Li J. et al. 2022 [14] |
Increased serum IL-17A is a risk factor for autoimmune T1D. |
Osman A. E. et al. 2022 [15] |
The SNP associated with low production of IL-4 increases the risk of T1DM in young individuals carrying vulnerable HLA alleles/haplotypes. |
Ali Y. et al. 2021 [16] |
IL-18 gene promoter polymorphisms might be associated with susceptibility to T1D in Egyptian children. |
El Helaly R.M. et al. 2021 [17] |
AA genotype and A allele of IL-10 rs1518111 SNP could be linked to increased risk for T1DM and DN among Egyptian children. |
Haghnazari L. et al. 2021 [18] |
The G allele of SNP rs1042522 encoding the TP53 gene for IL-6 increases the risk of developing DM in Iranian population. |
Hehenkamp P. et al. 2021 [19] |
T1DM monocytes have impaired IL-7 response and lower IL-7R expression. |
*Kumar S. et al. 2021 [20] |
IL-17A polymorphism was not associated with increased risk for CP in T1DM patients. |
Li J. et al. 2021 [21] |
The concentration of IL-1β in T1DM patients was significantly higher than that in healthy controls. |
Osman A. E. et al. 2021 [22] |
ILs levels in T1DM were higher than controls. |
Tangjittipokin W. et al. 2021 [23] |
IL1B SNPs are associated with T1DM susceptibility. |
Campos L. P. et al. 2020 [24] |
IL-18 polymorphisms were not associated with T1DM onset in children or adults in this population. |
Keindl M. et al. 2020 [25] |
IL2RA gene variants might increase the risk of developing vascular complications in people with T1D. |
Sharma C. et al. 2020 [26] |
IL2-RA gene variants could confer risk alleles for T1D among the Emirati population. |
Boechat-Fernandes A. et al. 2019 [27] |
SNP in IL18 gene could be associated with DM1 age onset. |
*Borilova Linhartova P. et al. 2019 [28] |
Variability in the IL-1B and IL-1RN genes may be one of the factors in the susceptibility to T1DM and CP, although the single variants of these polymorphisms are not crucial for the protein production. |
Campos L. P. et al. 2019 [29] |
IL-6 rs1800795 was not associated with adult-onset T1D. IL-6R rs2228145 was associated with T1D development in adulthood, and carriers of the minor C allele are at increased risk for adult-onset T1D. |
Lundtoft C. et al. 2019 [30] |
IL-7Rα variants may contribute to disease susceptibility against T1D. |
*Borilova Linhartova P. et al. 2018 [9] |
CP does not influence the circulating IL-8 levels. Patients with T1DM+CP had higher circulating IL-8 levels than healthy controls+CP/non-periodontitis. |
Seyfarth J. et al. 2018 [31] |
Only T1D children with the protective haplotype had lower IL-7 serum levels. |
Al-Lahham Y. et al. 2017 [32] |
IL-18 rs187238 was not associated with T1D in Euro-Brazilian population. |
References
- Tang, W.; Cui, D.; Jiang, L.; Zhao, L.; Qian, W.; Long, S.A.; Xu, K. Association of common polymorphisms in the IL 2 RA gene with type 1 diabetes: evidence of 32,646 individuals from 10 independent studies. J. Cell. Mol. Med. 2015, 19, 2481–2488. [Google Scholar] [CrossRef]
- Maddaloni, E.; Moretti, C.; Mignogna, C.; Buzzetti, R. Adult-onset autoimmune diabetes in 2020: An update. Maturitas 2020, 137, 37–44. [Google Scholar] [CrossRef]
- Hober, D.; Sauter, P. Pathogenesis of type 1 diabetes mellitus: interplay between enterovirus and host. Nat. Rev. Endocrinol. 2010, 6, 279–289. [Google Scholar] [CrossRef]
- A Gregory, G.; Robinson, T.I.G.; E Linklater, S.; Wang, F.; Colagiuri, S.; de Beaufort, C.; Donaghue, K.C.; International Diabetes Federation Diabetes Atlas Type 1 Diabetes in Adults Special Interest Group; Magliano, D.J.; Maniam, J.; et al. Global incidence, prevalence, and mortality of type 1 diabetes in 2021 with projection to 2040: a modelling study. Lancet Diabetes Endocrinol. 2022, 10, 741–760. [Google Scholar] [CrossRef]
- Khdair, S.I.; Jarrar, W.; Jarrar, Y.B.; Bataineh, S.; Al-Khaldi, O. Association of HLA-DRB1 and -DQ Alleles and Haplotypes with Type 1 Diabetes in Jordanians. Endocrine, Metab. Immune Disord. - Drug Targets 2020, 20, 895–902. [Google Scholar] [CrossRef]
- Luotola, K.; Alanne, M.; Lanki, T.; Moilanen, L.; Surakka, I.; Pietilä, A.; Nieminen, M.S.; Peters, A.; Jula, A.; Perola, M.; et al. Association of Variation in the Interleukin-1 Gene Family with Diabetes and Glucose Homeostasis. J. Clin. Endocrinol. Metab. 2009, 94, 4575–4583. [Google Scholar] [CrossRef]
- Löe, H. Periodontal Disease: The sixth complication of diabetes mellitus. Diabetes Care 1993, 16, 329–334. [Google Scholar] [CrossRef]
- Giannobile, W.; Braun, T.; Caplis, A.; Doucette-Stamm, L.; Duff, G.; Kornman, K. Patient Stratification for Preventive Care in Dentistry. J. Dent. Res. 2013, 92, 694–701. [Google Scholar] [CrossRef]
- Linhartova, P.B.; Kavrikova, D.; Tomandlova, M.; Poskerova, H.; Rehka, V.; Dušek, L.; Holla, L.I. Differences in Interleukin-8 Plasma Levels between Diabetic Patients and Healthy Individuals Independently on Their Periodontal Status. Int. J. Mol. Sci. 2018, 19, 3214. [Google Scholar] [CrossRef]
- Linhartova, P.B.; Kastovsky, J.; Lucanova, S.; Bartova, J.; Poskerova, H.; Vokurka, J.; Fassmann, A.; Kankova, K.; Holla, L.I. Interleukin-17AGene Variability in Patients with Type 1 Diabetes Mellitus and Chronic Periodontitis: Its Correlation with IL-17 Levels and the Occurrence of Periodontopathic Bacteria. Mediat. Inflamm. 2016, 2016, 1–9. [Google Scholar] [CrossRef]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst. Rev. 2021, 89, 105906. [Google Scholar]
- PROSPERO. Available online: https://www.crd.york.ac.uk/prospero/#aboutpage (accessed on 18 June 2022).
- Hoffmann, M.; Enczmann, J.; Balz, V.; Kummer, S.; Reinauer, C.; Döing, C.; Förtsch, K.; Welters, A.; Vasconcelos, M.K.; Mayatepek, E.; et al. Interleukin-7 and soluble Interleukin-7 receptor levels in type 1 diabetes – Impact of IL7RA polymorphisms, HLA risk genotypes and clinical features. Clin. Immunol. 2022, 235, 108928. [Google Scholar] [CrossRef] [PubMed]
- Li, J.; Xu, L.; Zhao, W.; Pan, J.; Lu, J.; Lu, H.; Yan, J.; Weng, J.; Liu, F. Serum IL-17A concentration and a IL17RA single nucleotide polymorphism contribute to the risk of autoimmune type 1 diabetes. Diabetes/Metabolism Res. Rev. 2022, 38, e3547. [Google Scholar] [CrossRef] [PubMed]
- E Osman, A.; Brema, I.; AlQurashi, A.; Al-Jurayyan, A.; Bradley, B.; A Hamza, M. Single nucleotide polymorphism rs 2070874 at Interleukin-4 is associated with increased risk of type 1 diabetes mellitus independently of human leukocyte antigens. Int. J. Immunopathol. Pharmacol. 2022, 36. [Google Scholar] [CrossRef]
- Ali, Y.B.M.; El-Gahel, H.E.; Abdel-Hakem, N.E.; Gadalla, M.E.; El-Hefnawy, M.H.; El-Shahat, M. Association between IL-18 and IL-6 gene polymorphisms and the risk of T1D in Egyptian children. J. Diabetes Metab. Disord. 2021, 20, 439–446. [Google Scholar] [CrossRef]
- El Helaly, R.M.; Elzehery, R.R.; El-Emam, O.A.; El Domiaty, H.A.; Elbohy, W.R.; Aboelenin, H.M.; Salem, N.A. Genetic association between interleukin-10 gene rs1518111 and rs3021094 polymorphisms and risk of type 1 diabetes and diabetic nephropathy in Egyptian children and adolescents. Pediatr. Diabetes 2021, 22, 567–576. [Google Scholar] [CrossRef]
- Haghnazari, L.; Sabzi, R. Relationship between TP53 and interleukin-6 gene variants and the risk of types 1 and 2 diabetes mellitus development in the Kermanshah province. J. Med. Life. 2021, 14, 37–44. [Google Scholar] [CrossRef]
- Hehenkamp, P.; Hoffmann, M.; Kummer, S.; Reinauer, C.; Döing, C.; Förtsch, K.; Enczmann, J.; Balz, V.; Mayatepek, E.; Meissner, T.; et al. Interleukin-7-dependent nonclassical monocytes and CD40 expression are affected in children with type 1 diabetes. Eur. J. Immunol. 2021, 51, 3214–3227. [Google Scholar] [CrossRef]
- Pks, S.K.; Varghese, S.; S, T.K.; N, J.D.; G, L.D. Association of IL-17A Polymorphism with Chronic Periodontitis in Type 1 Diabetes Patients. J. Dent. 2021, 22, 180–186. [Google Scholar] [CrossRef]
- Li, J.; Sun, X.; Luo, S.; Lin, J.; Xiao, Y.; Yu, H.; Huang, G.; Li, X.; Xie, Z.; Zhou, Z. The Positivity Rate of IA-2A and ZnT8A in the Chinese Han Population With Type 1 Diabetes Mellitus: Association With rs1143627 and rs1143643 Polymorphisms in the IL1B Gene. Front. Pharmacol. 2021, 12. [Google Scholar] [CrossRef]
- Osman, A.E.; Brema, I.; AlQurashi, A.; Al-Jurayyan, A.; Bradley, B.; Hamza, M.A. Association of single-nucleotide polymorphisms in tumour necrosis factor and human leukocyte antigens genes with type 1 diabetes. Int. J. Immunogenetics 2021, 48, 326–335. [Google Scholar] [CrossRef]
- Tangjittipokin, W.; Umjai, P.; Khemaprasit, K.; Charoentawornpanich, P.; Chanprasert, C.; Teerawattanapong, N.; Narkdontri, T.; Santiprabhob, J. Vitamin D pathway gene polymorphisms, vitamin D level, and cytokines in children with type 1 diabetes. Gene 2021, 791, 145691. [Google Scholar] [CrossRef]
- Campos, L.; Graciolo, V.; Welter, M.; Lopes, M.; Nesi-França, S.; Picheth, G.; Rego, F. Research Article The IL18 rs1946518 and PTPN22 rs2476601 polymorphisms are not associated with adult- and childhood-onset type 1 diabetes mellitus. Genet. Mol. Res. 2020, 19. [Google Scholar] [CrossRef]
- Keindl, M.; Fedotkina, O.; du Plessis, E.; Jain, R.; Bergum, B.; Jensen, T.M.; Møller, C.L.; Falhammar, H.; Nyström, T.; Catrina, S.-B.; et al. Increased Plasma Soluble Interleukin-2 Receptor Alpha Levels in Patients With Long-Term Type 1 Diabetes With Vascular Complications Associated With IL2RA and PTPN2 Gene Polymorphisms. Front. Endocrinol. 2020, 11, 575469. [Google Scholar] [CrossRef]
- Sharma, C.; Ali, B.R.; Osman, W.; Afandi, B.; Aburawi, E.H.; A Beshyah, S.; Al-Mahayri, Z.; Al-Rifai, R.H.; Al Yafei, Z.; ElGhazali, G.; et al. Association of variants in PTPN22, CTLA-4, IL2-RA, and INS genes with type 1 diabetes in Emiratis. Ann. Hum. Genet. 2021, 85, 48–57. [Google Scholar] [CrossRef]
- Boëchat-Fernandes, A.; Réa, R.R.; Romanzini, N.B.; Gomes, M.B.; Furtado-Alle, L.; Souza, R.L.R. IL18 Gene Polymorphism Influences Age of Onset of DM1 in African Ancestry Brazilians. J. Pediatr. Genet. 2019, 08, 038–040. [Google Scholar] [CrossRef]
- Linhartova, P.B.; Poskerova, H.; Tomandlova, M.; Bartova, J.; Kankova, K.; Fassmann, A.; Holla, L.I. Interleukin-1 Gene Variability and Plasma Levels in Czech Patients with Chronic Periodontitis and Diabetes Mellitus. Int. J. Dent. 2019, 2019, 1–10. [Google Scholar] [CrossRef]
- Campos, L.; Graciolo, V.; Sousa, M.; Martins, B.; Souza, S.; Alberton, D.; Picheth, G.; Rego, F. Research Article Polymorphisms rs1800795 of interleukin-6 and rs2228145 of interleukin-6 receptor genes in Euro-Brazilians with adult-onset type 1 diabetes mellitus. Genet. Mol. Res. 2019, 18. [Google Scholar] [CrossRef]
- Lundtoft, C.; Seyfarth, J.; Oberstrass, S.; Rosenbauer, J.; Baechle, C.; Roden, M.; Holl, R.W.; Mayatepek, E.; Kummer, S.; Meissner, T.; et al. Autoimmunity risk- and protection-associated IL7RA genetic variants differentially affect soluble and membrane IL-7Rα expression. J. Autoimmun. 2019, 97, 40–47. [Google Scholar] [CrossRef]
- Seyfarth, J.; Lundtoft, C.; Förtsch, K.; Ahlert, H.; Rosenbauer, J.; Baechle, C.; Roden, M.; Holl, R.W.; Mayatepek, E.; Kummer, S.; et al. Interleukin-7 receptor α-chain haplotypes differentially affect soluble IL-7 receptor and IL-7 serum concentrations in children with type 1 diabetes. Pediatr. Diabetes 2018, 19, 955–962. [Google Scholar] [CrossRef]
- Al-Lahham, Y.; Mendes, A.K.B.; Souza, E.M.; Alberton, D.; Rego, F.G.M.; Valdameri, G.; Picheth, G. Research Article Interleukin-18 (rs187238) and glucose transporter 4 (rs5435) polymorphisms in Euro-Brazilians with type 1 diabetes. Genet. Mol. Res. 2017, 16. [Google Scholar] [CrossRef]
- Stang, A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiology 2010, 25, 603–605. [Google Scholar] [CrossRef]
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).