Shuai Yuan
Yuyang Miao2,3
Jie Chen
Xue Li- 1Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- 2Department of Medicine, Karolinska Institutet, Huddinge, Sweden
- 3Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
- 4Department of Gastroenterology, Central South University, Changsha, China
- 5Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- 6Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
Background: The interleukin-1 pathway has been linked to pancreatic diseases. We applied the Mendelian randomization approach to explore whether higher interleukin-1 receptor antagonist (IL-1RA) levels reduce the risk of acute and chronic pancreatitis and pancreatic cancer.
Methods: Genetic variants associated with blood IL-1RA levels at the genome-wide significance level and located 5MB downstream or upstream of the IL1RN gene were extracted from a genome-wide meta-analysis of 21,758 participants. After pruning, genetic variants without linkage disequilibrium were used as genetic instrument for IL-1RA. Summary-level data on acute and chronic pancreatitis and pancreatic cancer were obtained from the UK Biobank and FinnGen studies. The associations were meta-analyzed for one outcome from two sources.
Results: Genetically predicted higher levels of IL-1RA were associated with a lower risk of acute and chronic pancreatitis and pancreatic cancer. In the meta-analysis of UK Biobank and FinnGen, the combined odds ratio was 0.87 (95% confidence interval [CI] 0.77-0.97, P=0.003) for acute pancreatitis, 0.73 (95% CI 0.65-0.82, P=2.93×10-8) for chronic pancreatitis, and 0.86 (95% CI 0.77-0.96, P=0.009) for pancreatic cancer per one standard deviation increment in genetically predicted levels of IL-1RA.
Conclusion: This study suggests a protective role of IL-1RA in three major pancreatic diseases, which hints the therapeutic potentials of IL-1RA in pancreatic diseases.
Introduction
Pancreatitis and pancreatic cancer are common disorders of the pancreas and affect over 16 million and four hundred thousand people worldwide, respectively (1, 2). The interleukin 1 (IL-1) pathway has been identified to play a role in the development of pancreatic diseases. Animal studies showed that inhibiting the activity of IL-1β benefited the severity and mortality of acute pancreatitis (3), whereas overexpression of IL-1β induced the development of chronic pancreatitis (4). From the progression of pancreatitis to pancreatic cancer, IL-1β was found to promote tumorigenesis partly via an expansion of immune-suppressive B lymphocytes (5). IL-1β was also found to mediate the association between obesity and pancreatic cancer (6) as well as associate with tumor growth (7) and carcinoma cell migration (8). Even though a few population-based studies linked IL-1 with pancreatic diseases, like an association between IL-1β and a type of pancreatic neoplasms (9), the causality of the associations of IL-1 with the risk of developing pancreatic diseases in humans remains largely uncertain. A clear appraisal of these associations not only deepens the understanding of the pathological basis of pancreatic diseases but also provides evidence support for therapeutic development, such as IL-1 inhibitors (e.g., anakinra).
Mendelian randomization (MR) is an epidemiological design that can reinforce causal inference in an exposure-outcome association by using genetic variants as instrumental variables for the exposure (10). The approach can reduce confounding and reverse causality since genetic variants are randomly assorted at conception and unmodified by onset of the disease (10). Interleukin-1 receptor antagonist (IL-1RA) is an endogenous inhibitor of IL-1 by non-productively binding to IL-1 receptor, which thus prevents both IL-1α or IL-1β from sending signal and thus generating downstream biological effects (11). Genetic variants located in the IL-1RN gene are the strongest genetic determinants of blood IL-1RA levels and thus can be used as genetic instruments in MR analysis (12). Here, we conducted an MR investigation to examine the associations of circulating levels of IL-1RA with the risk of three major pancreatic diseases, including acute and chronic pancreatitis and pancreatic cancer.
Methods
Study design
Figure 1 shows study design overview of the MR design. This MR study has three important assumptions: 1) the employed genetic variants should be strongly associated with blood IL-1RA levels; 2) the used genetic variants should not be associated with any confounder; and 3) the used genetic instruments should influence the risk of pancreatic disease only through the IL-1RA pathway, but not via alternative pathways or directly. This MR study was based on publicly available data from large-scale consortium and cohort studies. Included studies had been approved by corresponding institutional review boards or ethical committees. Participants had signed consent forms. The present MR analyses were approved by the Swedish Ethical Review Authority (2019-02793).
Figure 1 Study design overview. GWAS indicates genome-wide association study; IL-1RA, interleukin-1 receptor antagonist; MR, Mendelian randomization; RCT, randomized controlled trial. There are three key assumptions of Mendelian randomization analysis, which are 1) genetic variants should be robustly associated with the exposure of interest, i.e., blood IL-1RA levels in this study; 2) genetic variants should not be associated with confounders; and 3) genetic variants should not directly associate with pancreatic outcomes or associated with pancreatic outcomes via alternative pathways. The random allocation of effect alleles of MR design resembles the randomization process of RCT, which groups participants into two groups with low and high levels of IL-1RA.
Genetic instrument selection
Summary-level data on the associations between DNA sequences and levels of IL-1RA were obtained from a genome-wide meta-analysis of up to 21,758 participants from 13 studies (13). The circulating levels of IL-1RA were measured using the Olink CVD I panel with low missing rate caused by below limit of detection or technical problems in included studies. In this genome-wide meta-analysis on blood IL-1RA, the population structure represented by top genetic principal components and study-specific parameters including age, sex, sample storage time, and batch information were adjusted in the genome-wide association analysis (using additive model regressions) in each study where available (13). To select genetic instruments for IL-1RA, we first extracted single nucleotide polymorphisms (SNPs) associated with IL-1RA levels at the genome-wide significance level (P < 5×10-8) and located in 5MB downstream or upstream of IL1RN gene (chromosome 2, GRCh38/hg38 position 113099360-113134014). We then pruned these genetic variants to remove SNPs in high linkage disequilibrium (R2 < 0.1) based on the 1000 Genomics European reference panel. In total, 13 SNPs were used as an instrumental variable for blood IL-1RA levels in MR analysis. The used genetic variants explained approximately 11.6% variance in blood IL-1RA levels. Detailed information on used SNPs is presented in Table 1.
Table 1 Genetic variants used as instrumental variables for IL-1RA.
Outcome data sources
Summary-level data on the associations of selected IL-1RA-associated SNPs with the risk of acute and chronic pancreatitis and pancreatic cancer were available in the UK Biobank study (14) and the FinnGen study (15). The UK Biobank is an ongoing cohort recruiting over 500,000 participants in the United Kingdom between 2006 and 2010. UK Biobank collected and linked phenotypical, genetic, and health outcome data from questionnaires, physical exams, biological samples, and nationwide health registers. In this study, we used data on acute (1,986 cases) and chronic (514 cases) pancreatitis and pancreatic cancer (589 cases) from genome-wide association studies conducted by Lee lab (16) where these endpoints were defined by codes of the International Classification of Diseases 9th Revision (ICD-9) and ICD-10 (17). The genetic associations with above outcomes were adjusted for sex, birth year, and the first four genetic principal components. The FinnGen study is a nationwide ongoing cohort with genetic and electronic health record data collected. We used the R8 release of FinnGen where acute (5,509 cases) and chronic (3,002 cases) pancreatitis and pancreatic cancer (1,249 cases) were defined by codes of ICD-8, -9 and -10 (17). The genetic associations were adjusted for sex, age, genetic components, and genotyping batch.
Positive controls
To validate the genetic instruments for IL-1RA, we selected two positive controls. These were C-reactive protein (CRP) and rheumatoid arthritis. CRP is a downstream inflammatory protein of IL-1 pathway. Upregulation of IL-1RA, like by intaking anakinra results in decreased levels of CRP, which has been consistently observed in clinical trials (18, 19). IL-1 inhibitors have been approved to treat rheumatoid arthritis (20). We obtained summary-level data on CRP from a genome-wide association on circulating levels of CRP in 204,402 individuals (21) and data on rheumatoid arthritis from a genome-wide meta-analysis including 19,234 cases and 80,799 controls of European ancestry (22).
Statistical analysis
The F-statistic was estimated to measure the strength of the genetic instrument. An F-statistic above 10 indicates a good strength of the genetic instrument. We used the inverse variance weighted method under multiplicative random effects as the primary analysis. In detail, a genetic score was constructed by summing up IL-1RA-increasing alleles weighted by the beta of the allele-IL-1RA associations. The odds ratios of pancreatic diseases were then regressed against this continuous genetic score of IL-1RA, which generated associations scaled to one standard deviation increase in genetically predicted levels of IL-1RA. We combined the association for one outcome from two sources (the UK Biobank and FinnGen) using the fixed-effects meta-analysis method. Although the inverse variance weighted method provides most accurate estimate, it is sensitive to outliers. We therefore conducted three sensitivity analyses, which are the weighted median (23), MR-Egger (24), and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) (25) methods, to test and robustness of the results and to detect and correct for potential horizontal pleiotropy. The weighted median method can provide consistent estimates at the prerequisite that ≥ 50% of the weight comes from valid instrument variants (23). The MR-Egger regression can generate estimates after accounting for horizontal pleiotropy albeit with less precision (24). The MR-PRESSO method can detect SNP outliers and provide results identical to that from the inverse variance weighted analysis after removal of outliers (25). We used Cochran’s Q value to assess the heterogeneity among SNPs’ estimates. MR-Egger intercept test and MR-PRESSO global test were used to detect possible horizontal pleiotropy (P < 0.05). We defined the existence of horizontal pleiotropy by significant heterogeneity together with a significant MR-Egger intercept or MR-PRESSO global test. For the association with horizontal pleiotropy, we used the estimate of MR-PRESSO after the removal of outliers and therefore minimized horizontal pleiotropy.
The association with a P value <0.017 (0.05/3 outcomes) was deem significant. All analyses were two-sided and performed using the TwoSampleMR and MRPRESSO packages in R software 4.1.2.
Results
The F-statistic ranged from 2607 to 4081 for the studied outcomes, which indicates a good strength of the genetic instrument for IL1-RA. No genetic instruments were strongly associated with the studied pancreatic outcomes. Furthermore, genetically predicted higher levels of IL1-RA were strongly associated with the positive control outcomes, including lower levels of CRP (β = -0.18, 95% confidence interval [CI] -0.22, -0.15, P = 2.54×10-24) and a decreased risk of rheumatoid arthritis (odds ratio = 0.85, 95% CI 0.78-0.93, P = 2.37×10-4).
Figure 2 shows the primary results. In the inverse variance weighted analysis (the primary analysis), genetically predicted higher levels of IL-1RA were associated with a non-significant or statistically significant decreased risk of acute and chronic pancreatitis and pancreatic cancer in both UK Biobank and FinnGen. After combing results from two sources, all associations were statistically significant. In the primary analysis, per one standard deviation increment in genetically predicted levels of IL-1RA, the combined odds ratio was 0.87 (95% CI 0.77-0.97, P = 0.003) for acute pancreatitis, 0.73 (95% CI 0.65-0.82, P = 2.93×10-8) for chronic pancreatitis, and 0.86 (95% CI 0.77-0.96, P = 0.009) for pancreatic cancer. The associations remained overall consistent in sensitivity analyses (Table 2). We observed limited heterogeneity and no outliers across all analyses. MR-Egger intercept and MR-PRESSO global tests detected no indication of potential horizontal pleiotropy (P > 0.05). All these together indicated limited horizontal pleiotropy.
Figure 2 Associations of genetically predicted IL-1RA levels with pancreatic diseases. CI indicates confidence interval; IL-1RA, interleukin-1 receptor antagonist; OR, odds ratio.
Table 2 Associations of genetically predicted IL-1RA levels with pancreatic diseases in sensitivity analyses.
Discussion
This MR study validated the genetic instrument for IL-1RA by examining the associations of genetically proxied IL-1RA levels with CRP levels and rheumatoid arthritis. Using this genetic instrument, we found consistent associations of genetically predicted higher levels of IL-1RA with decreased risk of acute and chronic pancreatitis and pancreatic cancer. These findings indicate the potential therapeutic values of IL-1 inhibitors in treating pancreatic diseases.
Genetically predicted IL-1RA mimics the biological effects of IL-1 inhibitors, which have been used to treat rheumatoid arthritis and cryopyrin diseases with a good tolerance. Afterwards, the utility of IL-1RA inhibitors have been expanded in a broad spectrum of diseases, like to preserve pancreatic islet β-cell function in type 1 diabetes (26). Even though animal studies support a therapeutic effect of IL-1RA on pancreatitis (27–29), few trials have examined the effectiveness of IL-1 inhibitors, like anakinra, in treating pancreatitis or pancreatic cancer. Even though preliminary, this study provided clues that IL-1 inhibitors may be an effective therapeutic target for pancreatic diseases from human genetic perspective. Clinical trials are needed to validate this hypothesis.
There are some potential pathways that may explain the associations of higher levels of IL-1RA and lower risk of pancreatic diseases. IL-1β has been identified as an important cytokine in the development of pancreatitis and pancreatic cancer as well as in the progression from pancreatitis to pancreatic cancer (3–5). High levels of IL-1RA inhibit the signaling of IL-1β by competitively binding to IL-1 receptor, which reduce the risk of developing pancreatic disease, like via B cell-related immune pathways (5) and slower cancer cell growth (7) and migration (8). IL-1 inhibitors have also been found to be protective against inflammation and functional derangement in pancreatic islets (30). In addition, high levels of IL-1 facilitate gallbladder wall inflammation and diminish the absorptive function of the gallbladder epithelium, which may increase the risk of gallstone disease, a risk factor for acute and chronic pancreatitis (31). High levels of IL-1RA may be associated with a good glycemic profile and a low risk of having insulin resistance (32), which has been found to be associated with pancreatic cancer (33).
The advantages of this study include 1) the MR design that minimizes confounding and reverse causation bias; 2) good validation of genetic instruments for IL-1RA indicated by good strength and associations with the positive controls; 3) a comparatively large number of cases by combing data from two large-scale studies; 4) consistent results from two independent populations; and 5) no indication of heterogeneity and horizontal pleiotropy, in particular in this analysis using genetic instruments from the protein encoding gene region. Several limitations deserve discussion. First, this current study was based on data from European population, which confined the generalizability of our findings to other populations. Second, possible nonlinearity and sex-specificity of the associations could not be examined due to lack of individual-level data. Third, this study was based on the general populations. Whether these findings can be generalized to patient groups, such as rheumatoid arthritis patients, need to be verified. In addition, IL-1RA was found to be associated with an increased risk of cardiovascular disease (12, 34). Given an increased risk of cardiovascular disease in rheumatoid arthritis (35), the cardiovascular safety of IL-1 inhibitors among these patients needs to be assessed.
In summary, this study revealed a role of IL-1RA in the development of major pancreatic diseases. Whether IL-1 inhibitors, like anakinra, can be used as a treatment for these disease needs further clinical data.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Swedish Ethical Review Authority (2019-02793). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
SY and SL conceived and designed the study. SY and XR undertook the statistical analyses. SY wrote the first draft of the manuscript. All authors contributed to the article and approved the submitted version.
Acknowledgments
We want to acknowledge investigators and participants in the UK Biobank study, the FinnGen study, and cited genome-wide association studies for sharing data.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet (2018) 392(10159):1789–858. doi: 10.1016/s0140-6736(18)32279-7
2. The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol (2019) 4(12):934–47. doi: 10.1016/s2468-1253(19)30347-4
3. Denham W, Yang J, Fink G, Denham D, Carter G, Ward K, et al. Gene targeting demonstrates additive detrimental effects of interleukin 1 and tumor necrosis factor during pancreatitis. Gastroenterology (1997) 113(5):1741–6. doi: 10.1053/gast.1997.v113.pm9352880
4. Marrache F, Tu SP, Bhagat G, Pendyala S, Osterreicher CH, Gordon S, et al. Overexpression of interleukin-1beta in the murine pancreas results in chronic pancreatitis. Gastroenterology (2008) 135(4):1277–87. doi: 10.1053/j.gastro.2008.06.078
5. Takahashi R, Macchini M, Sunagawa M, Jiang Z, Tanaka T, Valenti G, et al. Interleukin-1β-induced pancreatitis promotes pancreatic ductal adenocarcinoma via B lymphocyte-mediated immune suppression. Gut (2021) 70(2):330–41. doi: 10.1136/gutjnl-2019-319912
6. Incio J, Liu H, Suboj P, Chin SM, Chen IX, Pinter M, et al. Obesity-induced inflammation and desmoplasia promote pancreatic cancer progression and resistance to chemotherapy. Cancer Discovery (2016) 6(8):852–69. doi: 10.1158/2159-8290.Cd-15-1177
7. Zhang Y, Chen X, Wang H, Gordon-Mitchell S, Sahu S, Bhagat TD, et al. Innate immune mediator, Interleukin-1 receptor accessory protein (IL1RAP), is expressed and pro-tumorigenic in pancreatic cancer. J Hematol Oncol (2022) 15(1):70. doi: 10.1186/s13045-022-01286-4
8. Tjomsland V, Sandnes D, Pomianowska E, Cizmovic ST, Aasrum M, Brusevold IJ, et al. The TGFβ-SMAD3 pathway inhibits IL-1α induced interactions between human pancreatic stellate cells and pancreatic carcinoma cells and restricts cancer cell migration. J Exp Clin Cancer Res (2016) 35(1):122. doi: 10.1186/s13046-016-0400-5
9. Maker AV, Katabi N, Qin LX, Klimstra DS, Schattner M, Brennan MF, et al. Cyst fluid interleukin-1beta (IL1beta) levels predict the risk of carcinoma in intraductal papillary mucinous neoplasms of the pancreas. Clin Cancer Res (2011) 17(6):1502–8. doi: 10.1158/1078-0432.Ccr-10-1561
10. Burgess S, Thompson SG. Mendelian randomization: methods for using genetic variants in causal estimation. In: Interdisciplinary Statistics Series. (London, UK: Chapman and Hall/CRC) (2015).
11. Dinarello CA, Simon A, van der Meer JW. Treating inflammation by blocking interleukin-1 in a broad spectrum of diseases. Nat Rev Drug Discovery (2012) 11(8):633–52. doi: 10.1038/nrd3800
12. Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. Lancet Diabetes Endocrinol (2015) 3(4):243–53. doi: 10.1016/s2213-8587(15)00034-0
13. Folkersen L, Gustafsson S, Wang Q, Hansen DH, Hedman ÅK, Schork A, et al. Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals. Nat Metab Oct (2020) 2(10):1135–48. doi: 10.1038/s42255-020-00287-2
14. Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PloS Med Mar (2015) 12(3):e1001779. doi: 10.1371/journal.pmed.1001779
15. Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, et al. FinnGen: Unique genetic insights from combining isolated population and national health register data. medRxiv (2022) 613(7944):508–18. doi: 10.1101/2022.03.03.22271360
16. Zhou W, Zhao Z, Nielsen JB, Fritsche LG, LeFaive J, Gagliano Taliun SA, et al. Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts. Nat Genet Jun (2020) 52(6):634–9. doi: 10.1038/s41588-020-0621-6
17. Yuan S, Chen J, Ruan X, Sun Y, Zhang K, Wang X, et al. Smoking, alcohol consumption, and 24 gastrointestinal diseases: mendelian randomization analysis. Elife (2023) 12. doi: 10.7554/eLife.84051
18. Larsen CM, Faulenbach M, Vaag A, Vølund A, Ehses JA, Seifert B, et al. Interleukin-1-receptor antagonist in type 2 diabetes mellitus. N Engl J Med (2007) 356(15):1517–26. doi: 10.1056/NEJMoa065213
19. Quartier P, Allantaz F, Cimaz R, Pillet P, Messiaen C, Bardin C, et al. A multicentre, randomised, double-blind, placebo-controlled trial with the interleukin-1 receptor antagonist anakinra in patients with systemic-onset juvenile idiopathic arthritis (ANAJIS trial). Ann Rheum Dis (2011) 70(5):747–54. doi: 10.1136/ard.2010.134254
20. Mertens M, Singh JA. Anakinra for rheumatoid arthritis. Cochrane Database Syst Rev (2009) 1):Cd005121. doi: 10.1002/14651858.CD005121.pub3
21. Ligthart S, Vaez A, Võsa U, Stathopoulou MG, de Vries PS, Prins BP, et al. Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders. Am J Hum Genet (2018) 103(5):691–706. doi: 10.1016/j.ajhg.2018.09.009
22. Okada Y, Wu D, Trynka G, Raj T, Terao C, Ikari K, et al. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature (2014) 506(7488):376–81. doi: 10.1038/nature12873
23. Yavorska OO, Burgess S. MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data. Int J Epidemiol. (2017) 46(6):1734–9. doi: 10.1093/ije/dyx034
24. Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol (2017) 32(5):377–89. doi: 10.1007/s10654-017-0255-x
25. Verbanck M, Chen CY, Neale B, Do R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat Genet (2018) 50(5):693–8. doi: 10.1038/s41588-018-0099-7
26. Waldron-Lynch F, Herold KC. Immunomodulatory therapy to preserve pancreatic β-cell function in type 1 diabetes. Nat Rev Drug Discovery (2011) 10(6):439–52. doi: 10.1038/nrd3402
27. Shen J, Gao J, Zhang J, Xiang D, Wang X, Qian L, et al. Recombinant human interleukin-1 receptor antagonist (rhIL-1Ra) attenuates caerulein-induced chronic pancreatitis in mice. BioMed Pharmacother (2012) 66(2):83–8. doi: 10.1016/j.biopha.2011.11.017
28. Xu C, Shen J, Zhang J, Jia Z, He Z, Zhuang X, et al. Recombinant interleukin-1 receptor antagonist attenuates the severity of chronic pancreatitis induced by TNBS in rats. Biochem Pharmacol (2015) 93(4):449–60. doi: 10.1016/j.bcp.2014.12.016
29. Kaplan M, Yazgan Y, Tanoglu A, Berber U, Oncu K, Kara M, et al. Effectiveness of interleukin-1 receptor antagonist (Anakinra) on cerulein-induced experimental acute pancreatitis in rats. Scand J Gastroenterol (2014) 49(9):1124–30. doi: 10.3109/00365521.2014.926983
30. Jin SM, Shim W, Oh BJ, Oh SH, Yu SJ, Choi JM, et al. Anakinra protects against serum deprivation-induced inflammation and functional derangement in islets isolated from nonhuman primates. Am J Transplant (2017) 17(2):365–76. doi: 10.1111/ajt.13953
31. Yuan S, Giovannucci EL, Larsson SC. Gallstone disease, diabetes, calcium, triglycerides, smoking and alcohol consumption and pancreatitis risk: Mendelian randomization study. NPJ Genom Med (2021) 6(1):27. doi: 10.1038/s41525-021-00189-6
32. Lagathu C, Yvan-Charvet L, Bastard JP, Maachi M, Quignard-Boulangé A, Capeau J, et al. Long-term treatment with interleukin-1beta induces insulin resistance in murine and human adipocytes. Diabetologia (2006) 49(9):2162–73. doi: 10.1007/s00125-006-0335-z
33. Yuan S, Kar S, Carter P, Vithayathil M, Mason AM, Burgess S, et al. Is type 2 diabetes mellitus causally associated with cancer risk? Evidence from a two-sample mendelian randomisation study. Diabetes (2020) 2020-04-29. doi: 10.2337/db20-0084
34. Yuan S, Lin A, He QQ, Burgess S, Larsson SC. Circulating interleukins in relation to coronary artery disease, atrial fibrillation and ischemic stroke and its subtypes: A two-sample randomization study. Int J Cardiol (2020) 313:99–104. doi: 10.1016/j.ijcard.2020.03.053
Keywords: interleukin-1 receptor antagonist, mendelian randomization, pancreatic disease, acute pancreatitis (AP), chronic pancreatitis, pancreatic cancer
Citation: Yuan S, Miao Y, Ruan X, Chen J, Li X and Larsson SC (2023) Therapeutic role of interleukin-1 receptor antagonist in pancreatic diseases: mendelian randomization study. Front. Immunol. 14:1240754. doi: 10.3389/fimmu.2023.1240754
Received: 15 June 2023; Accepted: 25 August 2023;
Published: 14 September 2023.
Edited by:
Andrea Baragetti, University of Milan, ItalyReviewed by:
Muhammad Sajid Hamid Akash, Government College University, Faisalabad, PakistanVladimir M. Pisarev, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitation, Russia
Copyright © 2023 Yuan, Miao, Ruan, Chen, Li and Larsson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Susanna C. Larsson, c3VzYW5uYS5sYXJzc29uQHV1LnNl