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The CTLA-4 rs231775 GG genotype is associated with favorable 90-day survival in Caucasian patients with sepsis

Abstract

Cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) is a surface protein on T cells, that has an inhibitory effect on the host immune reaction and prevents overreaction of the immune system. Because the functional single-nucleotide polymorphism (SNP) rs231775 of the CTLA-4 gene is associated with autoimmune diseases and because of the critical role of the immune reaction in sepsis, we intended to examine the effect of this polymorphism on survival in patients with sepsis. 644 septic adult Caucasian patients were prospectively enrolled in this study. Patients were followed up for 90 days. Mortality risk within this period was defined as primary outcome parameter. Kaplan-Meier survival analysis revealed a significantly lower 90-day mortality risk among GG homozygous patients (n = 101) than among A allele carriers (n = 543; 22% and 32%, respectively; p = 0.03565). Furthermore, the CTLA-4 rs231775 GG genotype remained a significant covariate for 90-day mortality risk after controlling for confounders in the multivariate Cox regression analysis (hazard ratio: 0.624; 95% CI: 0.399–0.975; p = 0.03858). In conclusion, our study provides the first evidence for CTLA-4 rs231775 as a prognostic variable for the survival of patients with sepsis and emphasizes the need for further research to reveal potential functional associations between CTLA-4 and the immune pathophysiology of sepsis.

Introduction

Sepsis is defined as a “life-threatening organ dysfunction caused by a dysregulated host response to infection1. It is a significant public health care issue2 and still a leading cause of death and critical illness in intensive care units (ICUs) worldwide3. Studies suggest a number of 31.5 million sepsis cases and 5.3 million potential sepsis-related deaths annually worldwide, extrapolated from high-income country data4. Despite substantial progress in the clinical understanding of sepsis, the evolution of the definition, advanced antibiotic therapies, ventilation and fluid management5,6, a sepsis-specific treatment is nonexistent7. Considering the key role of the immune pathophysiology of sepsis, immune therapy seems to be an attractive target in the treatment of sepsis8.

The immune response in sepsis can be characterized by two merging phases: an initial cytokine-mediated hyperinflammatory phase with an inappropriately amplified systemic immune reaction followed by an anti-inflammatory state of immune suppression9. While prior clinical investigations and trials focused on suppressing the initial hyperinflammatory phase10, it is now clear that most patients survive this phase of the disease and die instead during the subsequent phase of immune suppression11,12. This phase is characterized by dysfunction of the innate and adaptive immune system leading to increased host vulnerability to secondary bacterial infections, multiple organ dysfunction and the reactivation of latent viruses such as cytomegalovirus (CMV) or herpes simplex virus (HSV)10,11,12,13. A variety of mechanisms is considered to be responsible for the sepsis-induced immune suppression, including an increase in regulatory T cells, cellular exhaustion and apoptotic depletion of immune cells9. Furthermore, upregulated expression of certain cell surface receptors on hematopoietic cells such as coinhibitory receptors programmed cell death 1 protein (PD-1) or CTLA-4 (i.e., checkpoint proteins) has been reported14,15.

PD-1 and CTLA-4 are suggested to play a key role in the host response over the course of sepsis16,17; these proteins function as concomitant inhibitory receptors within the process of T cell activation and proliferation18. While antigen-presenting cells (APC), such as macrophages, dendritic cells or monocytes, present antigens from foreign pathogenic sources on MHC II towards T cell receptor-expressing lymphocytes, costimulatory and coinhibitory cascades occur simultaneously (e.g., costimulatory receptors CD40 and CD28; coinhibitory receptors PD-1 and CTLA-4)19. In particular, CTLA-4 is a T cell surface protein that competes with CD28 for binding to CD80 and CD86 on APCs19,20. Thus, overexpression of CTLA-4 downregulates the activation and proliferation of T cells and therefore has an inhibitory effect on the host immune reaction, preventing an overreaction of the immune system21,22. CTLA-4 is reported to play a role in sepsis-induced immune suppression and the development of septic morbidity19 and may be important in the exploration of future therapy targets. While CTLA-4-specific monoclonal antibodies are already being used in therapy for malignant melanoma and prostate cancer23,24, mouse models showed similar positive effects in the treatment of sepsis25,26.

Genetic variations within the CTLA-4 gene, which is located on chromosome 2q33, may cause an attenuated inhibitory effect on the T cell reaction27. We therefore examined the functional SNP rs231775 in exon 1 of the CTLA-4 gene, which is reported to be associated with several systemic and autoimmune diseases such as insulin-dependent diabetes mellitus (IDDM)28, rheumatoid arthritis and Hashimoto thyroiditis29. The rs231775 SNP (also referred to as CTLA-4 +49 A/G polymorphism) causes a substitution of threonine (Thr) to alanine (Ala) in the CTLA-4 receptor, and guanine at this position is related to lower expression levels of the CTLA-4 protein30. Furthermore, studies have reported that the rs231775 GG genotype is associated with higher T cell activation and proliferation and is, as previously stated, more frequent in Caucasian patients with the autoimmune diseases rheumatoid arthritis and Hashimoto thyroiditis29.

Our study aimed to investigate whether mortality among patients with sepsis was associated with the CTLA-4 rs231775 polymorphism. The 90-day mortality risk was recorded as the primary outcome parameter. We hypothesized that the CTLA-4 rs231775 GG genotype is beneficial in the course of sepsis due to the previously mentioned lower expression levels of the CTLA-4 protein, resulting in higher activation and proliferation of T cells in the immunosuppressive stage of sepsis.

Results

Baseline characteristics

A cohort of 644 adult Caucasian patients was enrolled in this study. On average, the patients were 63 years old (range: 18–92; standard deviation: ±15; median: 65) [Table 1]; 66% of the patients were male individuals, while 34% were female. Upon enrollment, the cohort’s mean Sequential Organ Failure Assessment (SOFA) score was 9.4 ± 3.9, and the Acute Physiology and Chronic Health Evaluation (APACHE II) was measured at 22 ± 7. Of the 644 patients, 86% were mechanically ventilated, 67% received vasopressors, and 9% obtained renal replacement therapy [Table 1]. During the observation period, 51% of the patients were in septic shock. The genotype distribution of CTLA-4 rs231775 was 101:289:254 (GG:AG:AA) with an observed minor allele frequency (MAF) of 0.38. Consequently, the genotype distribution is consistent with Hardy-Weinberg equilibrium (p = 0.2156), and the observed MAF almost equals the expected HapMap CEPH (CEU) MAF of 0.3931. In accordance with our a priori hypothesis, we pooled the CTLA-4 rs231775 AA and AG genotypes in order to compare the clinical course of GG homozygotes with the A allele carriers.

Table 1 Baseline characteristics with regard to CTLA-4 rs231775 genotypes.

Outcomes

The Kaplan-Meier analysis of 90-day survival revealed a significantly lower 90-day mortality risk among GG homozygous patients than among A allele carriers (22% and 32%, respectively; p = 0.03565) [Fig. 1].

Figure 1
figure 1

Kaplan-Meier survival analysis (90 days) with regard to CTLA-4 rs231775 genotypes.

In addition, 28-day mortality risk was examined using the Kaplan-Meier survival analysis and showed similar effects; GG homozygous patients had a lower 28-day mortality risk than A allele carriers (13% and 22%, respectively; p = 0.03083) [Fig. 2].

Figure 2
figure 2

Kaplan-Meier survival analysis (28 days) with regard to CTLA-4 rs231775 genotypes.

The analysis of the baseline characteristics revealed a significantly higher average body mass index (BMI) among GG genotypes (29 ± 7) than that among A allele carriers (27 ± 6; p = 0.0365) and, likewise, a higher percentage of chronic liver disease as a comorbidity (11% vs. 6%; p = 0.0425) [Table 1].

To adjust for possible effects of different baseline characteristics and potential confounders on the 90-day mortality, a multivariate Cox regression analysis was performed. Age, male gender, and SOFA and APACHE II scores were included as baseline variables; potential confounder variables were defined as “no statin therapy” in accordance with our findings from previous studies32 as well as BMI and chronic liver disease based on the results of the baseline characteristics. As patients were enrolled into the study according to the at that time of enrollment valid sepsis definition (Sepsis-1 or Sepsis-3) “application of Sepsis-3 definition” was also included in the potential confounder variables. The GG genotype remained a significant covariate for 90-day mortality risk (hazard ratio: 0.624; 95% CI: 0.399-0,975; p = 0.03858) [Table 2], indicating that despite potential confounders, the CTLA-4 rs231775 GG genotype is an independent prognostic variable for survival of patients with sepsis. Cox regression analysis for 28-day mortality revealed similar results for the CTLA-4 rs231775 GG genotype (hazard ratio: 0.504; 95% CI: 0.277–0.917; p = 0.02487) [Table 3].

Table 2 Cox regression analysis (90 days) with regard to CTLA-4 rs231775 genotypes.
Table 3 Cox regression analysis (28 days) with regard to CTLA-4 rs231775 genotypes.

Accordingly, male gender, BMI, “no statin therapy”, chronic liver disease and “application of Sepsis-3 definition” had no significant effect on mortality in the multivariate Cox regression analysis [Tables 2 and 3]. Further analysis can be found in the supplementary information file.

Disease severity

CTLA-4 rs231775 genotypes have also been evaluated regarding disease severity, the requirement of organ support, and inflammatory, kidney and liver parameters [Table 4]. Average SOFA and organ-specific SOFA scores from the first 28 days after sepsis onset (unless previously dismissed or deceased) were compared between the CTLA-4 rs231775 genotypes. No significant differences were found. As a measure of organ dysfunction, we assessed organ support-free days and days of ventilation, vasopressor requirement and dialysis as a fraction of the observation days. Similarly, these indicators did not differ between the CTLA-4 rs231775 genotype groups.

Table 4 Disease severity with regard to CTLA-4 rs231775 genotypes.

Our analysis of microbiological findings [Table 5] indicated some interesting tendencies: common pathogens such as Staphylococcus epidermidis, Candida albicans or Pseudomonas aeruginosa were microbiologically found less often in GG homozygous patients than in A allele carriers in our cohort, while Staphylococcus aureus was found more often. These findings are, however, not significant and may also be further investigated in other studies or larger cohorts. Further analysis can be found in the supplementary information file.

Table 5 Microbiological findings according to CTLA-4 rs231775 genotypes.

Discussion

Considering the complexity of the immune response in sepsis, it is important to examine factors involved in the activation and upregulation of the immune system, such as the coinhibitory checkpoint protein CTLA-4. Although SNPs are not known to be direct causative factors of diseases, their impact on gene expression and its products makes them important factors in disease susceptibility33.

The present study aimed to assess a potential association between the CTLA-4 rs231775 SNP and the survival of Caucasian patients with sepsis. We defined 90-day mortality as a primary outcome parameter. The main finding of our study was that CTLA-4 rs231775 GG homozygous patients have a significantly better 90-day mortality risk than A allele carriers. To the best of our knowledge, this study is the first investigation evaluating the effect of CTLA-4 rs231775 on mortality among patients with sepsis. Our findings are consistent with previous studies showing an association between CTLA-4 rs231775 genotypes and systemic or autoimmune diseases28,29 as well as recent mouse models with improved survival of fungal sepsis after anti-CTLA-4 treatment26. A potential explanation for the detected independent strong impact of the CTLA-4 rs231775 GG genotype on mortality risk is that the previously described reduced cell surface expression of coinhibitory CTLA-430 and the consequent increase in T cell activation and proliferation34 in GG homozygous patients might be beneficial during the immunosuppressive state of sepsis. In other words, the GG genotype most likely has a reduced inhibitory function of CTLA-4, resulting in a less pronounced sepsis-associated immunosuppression and thus an enhanced clinical course, especially in the late phase of sepsis. Similarly, the observed lower 28-day mortality risk among CTLA-4 GG patients may be due to the less distinctive immunosuppressive component exhibited by these patients within 28 days after sepsis onset. However, these assumed connections need to be further investigated and future genetic and functional studies need to precisely reveal the biological mechanisms underlying our findings.

As secondary endpoints, our cohort showed no significant genotype-based differences in disease severity, required organ support as a measure of organ dysfunction or bacterial findings. This observation indicates that the parameters used may not be able to adequately represent sepsis-associated immunosuppression, especially in the late phase of sepsis. Patients with the CTLA-4 rs231775 GG genotype had significantly higher average BMI values and a higher occurrence of chronic liver disease than patients carrying the A allele. However, no significant effect on survival was detected in the multivariate Cox regression for these two parameters, so they can be neglected as confounders in the association between CTLA-4 rs231775 genotypes and survival. Nevertheless, our finding of differences in BMI and the occurrence of chronic liver disease requires verification in other cohorts to validate its clinical relevance.

As far as our study is a genetic association study, potential limitations such as inadequate sample size, multiple testing and population stratification should be considered. Regarding these concerns, a relatively large population of septic patients and a reduced selection bias due to the prospective cohort design can certainly be seen as strengths of our study35. However, the inclusion of Caucasian only septic patients is a limitation of the present study as results might not be generalizable for other ethnicities. It would be interesting to assess the observed effects in cohorts of other ethnicity to allow generalization of the clinical relevance of our investigations. Similarly, our cohort consists of severely ill surgical patients, so that some of our observations may not be representative for other ICUs (e.g. medical ICU). Additionally, a power calculation to determine an adequate sample size could not be conducted at the beginning of our study because of the initially unknown effect of CTLA-4 rs231775 on the outcome of septic patients. Though, a post hoc power analysis of the observed mortality rates and our sample size was conducted and showed a power of 0.98. Furthermore, our study is a single-center study, and the results need to be validated in other independent cohorts.

In conclusion, our study provides the first evidence for CTLA-4 rs231775 as a prognostic variable for the survival of Caucasian patients with sepsis. Our findings may help identify patients at risk in clinical settings and emphasize the need for further research to reveal potential functional associations between CTLA-4 and the immune pathophysiology of sepsis. Our study also suggests using CTLA-4 gene variants to stratify patients for anti-CTLA-4 therapy.

Methods

Patients

A total of 644 septic patients were enrolled in this study through the GENOSEP database of the Department of Anesthesiology at the University Medical Center Goettingen. The patients were prospectively recruited from three surgical ICUs since March 2012. All patients of these ICUs were screened for sepsis according to the actual guidelines and definitions1,36 on a daily basis. The majority of 591 patients was enrolled into the study according to the definitions for sepsis and organ failure by the American College of Chest Physicians and Society of Critical Care Medicine Consensus Conference Committee (Sepsis-1)36. After the publication of the third international consensus definitions for sepsis and septic shock (Sepsis-3)1 in February 2016 another 53 patients were enrolled into the study according to the new guidelines. Blood was drawn from all patients within 72 hours of sepsis onset, and patients were followed up for 90 days unless previously dismissed from the ICU or deceased. For homogeneity reasons, only Caucasian patients were included in the study, and the following previously described exclusion criteria were applied17: (1) immunosuppressive therapy (e.g. azathioprine, cyclosporine, glucocorticoids) and cancer-related chemotherapy or (2) myocardial infarction within six weeks before enrollment, (3) human immunodeficiency virus (HIV) infection, (4) congestive heart failure as classified by the New York Heart Association (NYHA) IV, (5) end-stage incurable disease with reduced probability to survive the following 28 days, (6) pregnancy or breastfeeding, (7) age below 18 years, (8) “Do Not Resuscitate” (DNR) or “Do Not Treat” (DNT) order, (9) persistent vegetative stage (apallic syndrome), (10) participation in interventional studies and (11) familial relationship to member of study fellows.

This investigation and the experimental protocol were approved by the institutional ethics committee of the University of Goettingen in Goettingen, Germany. The study was performed in accordance with the provisions of the Declaration of Helsinki and in accordance with relevant guidelines and regulations. The methods were carried out in accordance with approved guidelines. Written informed consent was obtained either from the patient or their legal representative.

Data collection

Clinical report forms (CRF) were created for all patients enrolled into the study. Upon enrollment, patients’ baseline characteristics including comorbidities, preexisting medication, and initial SOFA and APACHE II scores were obtained. Relevant parameters for organ-specific SOFA subscores were recorded daily for a maximum period of 28 days after sepsis onset, except patients who died or were dismissed from the ICU earlier. The clinical data were generated from the electronic patient record system (IntelliSpace Critical Care and Anesthesia (ICCA), Philips Healthcare, Andover, MA, USA). Parameters included fraction of inspired oxygen (FiO2) and arterial partial oxygen pressure (PaO2) for the respiratory system, mean arterial pressure (MAP) and quantity of vasopressor therapy for the cardiovascular system, Glasgow Coma Scale (GCS) for the central nervous system (CNS), bilirubin for the liver function, creatinine and urine output for the renal function and number of platelets for coagulation. Patients were followed up for 90 days, and mortality was assessed as a primary outcome variable.

CTLA-4 rs231775 genotyping

DNA was automatically extracted from 200 µl of EDTA blood using a QIAamp® DNA Blood Kit in a QIAcube® or from 350 µl of EDTA blood using an EZ1® DNA Blood Kit in a BioRobot EZ1® or from peripheral blood mononuclear cells (PBMCs) using an AllPrep DNA Mini Kit according to the manufacturer’s instructions (all from Qiagen, Hilden, Germany). The quantity and quality of the DNA were determined by spectrophotometric measurement and revealed an average concentration of 33.8 ng/µl and an average E260/E280 extinction ratio of 1.85. Genotyping of the extracted DNA was performed via TaqMan polymerase chain reaction (PCR) using the predesigned TaqMan® SNP Genotyping Assay C___2415786_20 and a 7900HT Fast Real-Time PCR System (TaqMan) according to the manufacturer’s instructions (Life Technologies, Darmstadt, Germany). The genotyping outcomes were generated using 7900HT Fast Real-Time PCR System Software (SDS v2.4.1 for Windows 7, Applied Biosystems, Foster City, USA). For reliability reasons, 20% of the samples were genotyped in duplicate and showed completely concordant results. The DNA extraction and CTLA-4 rs231775 genotyping were performed entirely in the laboratories and under the supervision of the Department of Clinical Pharmacology of the University Medical Center Goettingen.

Statistical analyses

STATISTICA 13 software (version 13.0, StatSoft, Tulsa, Oklahoma, USA) was used for statistical analyses and creation of the Kaplan-Meier diagrams. Probability values (p value) of p ≤ 0.05 were defined as “significant”, p ≤ 0.01 as “very significant” and p ≤ 0.001 as “highly significant”. The significance for categorical variables was calculated using the Pearson Chi-Square test or, if applicable, two-sided Fisher’s Exact test. The Mann-Whitney-U-test and Kruskal-Wallis test were performed for continuous variables. In the attached tables, continuous variables are presented as the mean ± standard deviation and categorical variables as absolute numbers or percentages. Time-to-event data were evaluated with the log-rank test of the Kaplan-Meier survival analysis. Multivariate Cox regression analysis was conducted to estimate the effect of multiple categorical and continuous independent variables on the time-to-event (e.g., survival) and calculation of their relative hazards. Observed allele frequencies in the study population were compared to an expected distribution of a normal population according to Hardy-Weinberg equilibrium and were examined using the chi-square test. A power analysis was performed with the appropriate Statistica analysis tools.

Data Availability

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Singer, M. et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA 315, 801 (2016).

    CAS  Article  Google Scholar 

  2. Rhee, C. et al. Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009–2014. JAMA 318, 1241 (2017).

    Article  Google Scholar 

  3. Vincent, J.-L. et al. Assessment of the worldwide burden of critical illness: the Intensive Care Over Nations (ICON) audit. The Lancet Respiratory Medicine 2, 380–386 (2014).

    Article  Google Scholar 

  4. Fleischmann, C. et al. Assessment of Global Incidence and Mortality of Hospital-treated Sepsis. Current Estimates and Limitations. American Journal of Respiratory and Critical Care Medicine 193, 259–272 (2016).

    CAS  Article  Google Scholar 

  5. Gaieski, D. F., Edwards, J. M., Kallan, M. J. & Carr, B. G. Benchmarking the Incidence and Mortality of Severe Sepsis in the United States*. Critical Care Medicine 41, 1167–1174 (2013).

    Article  Google Scholar 

  6. Mayr, F. B., Yende, S. & Angus, D. C. Epidemiology of severe sepsis. Virulence 5, 4 (2014).

    Article  Google Scholar 

  7. Vincent, J.-L. The Clinical Challenge of Sepsis Identification and Monitoring. PLoS Medicine 13 (2016).

    Article  Google Scholar 

  8. Delano, M. J. & Ward, P. A. The immune system’s role in sepsis progression, resolution, and long-term outcome. Immunological Reviews 274, 330–353 (2016).

    CAS  Article  Google Scholar 

  9. Boomer, J. S., Green, J. M. & Hotchkiss, R. S. The changing immune system in sepsis. Virulence 5, 45–56 (2014).

    Article  Google Scholar 

  10. Hamers, L., Kox, M. & Pickers, P. Sepsis-induced immunoparalysis: mechanisms, markers, and treatment options. Minerva Anestesiologica 81, 14 (2015).

    Google Scholar 

  11. Boomer, J. S., Shuherk-Shaffer, J., Hotchkiss, R. S. & Green, J. M. A prospective analysis of lymphocyte phenotype and function over the course of acute sepsis. Critical Care 16, R112 (2012).

    Article  Google Scholar 

  12. Otto, G. P. et al. The late phase of sepsis is characterized by an increased microbiological burden and death rate. Critical Care 15, R183 (2011).

    Article  Google Scholar 

  13. Monneret, G., Venet, F., Kullberg, B.-J. & Netea, M. G. ICU-acquired immunosuppression and the risk for secondary fungal infections. Med Mycol 49, S17–S23 (2011).

    Article  Google Scholar 

  14. Kim, P. S. & Ahmed, R. Features of Responding T cells in Cancer and Chronic Infection. Current opinion in immunology 22, 223 (2010).

    CAS  Article  Google Scholar 

  15. Zhang, Y. et al. Upregulation of programmed death-1 on T cells and programmed death ligand-1 on monocytes in septic shock patients. Critical Care 15, R70 (2011).

    Article  Google Scholar 

  16. Stearns-Kurosawa, D. J., Osuchowski, M. F., Valentine, C., Kurosawa, S. & Remick, D. G. The Pathogenesis of Sepsis. Annual review of pathology 6, 19 (2011).

    CAS  Article  Google Scholar 

  17. Mansur, A. et al. Ninety-Day Survival Rate of Patients With Sepsis Relates to Programmed Cell Death 1 Genetic Polymorphism rs11568821. Journal of Investigative Medicine 62, 638–643 (2014).

    CAS  Article  Google Scholar 

  18. Buchbinder, E. I. & Desai, A. CTLA-4 and PD-1 Pathways: Similarities, Differences, and Implications of Their Inhibition. American Journal of Clinical Oncology 39, 98–106 (2016).

    CAS  Article  Google Scholar 

  19. Fallon, E. A. et al. A novel role for coinhibitory receptors/checkpoint proteins in the immunopathology of sepsis. Journal of Leukocyte Biology. https://doi.org/10.1002/JLB.2MIR0917-377R (2018).

    CAS  Article  Google Scholar 

  20. Walunas, T. L. et al. Pillars Article: CTLA-4 Can Function as a Negative Regulator of T Cell Activation. Immunity. 1994. 1: 405–413. The Journal of Immunology 187, 3466–3474 (2011).

    CAS  PubMed  Google Scholar 

  21. Gardner, D., Jeffery, L. E. & Sansom, D. M. Understanding the CD28/CTLA‐4 (CD152) Pathway and Its Implications for Costimulatory Blockade. American Journal of Transplantation 14, 1985–1991 (2014).

    CAS  Article  Google Scholar 

  22. McCoy Kathy, D. & Le Gros Graham. The role of CTLA‐4 in the regulation of T cell immune responses. Immunology and Cell Biology 77, 1–10 (1999).

    Article  Google Scholar 

  23. Snyder, A. et al. Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma. The New England journal of medicine 371, 2189 (2014).

    Article  Google Scholar 

  24. Blank, C. U. & Enk, A. Therapeutic use of anti-CTLA-4 antibodies. Int Immunol 27, 3–10 (2015).

    CAS  Article  Google Scholar 

  25. Inoue, S. et al. Dose Dependent Effect of Anti-CTLA-4 on Survival in Sepsis. Shock (Augusta, Ga.) 36, 38 (2011).

    CAS  Article  Google Scholar 

  26. Chang, K. C. et al. Blockade ofthe negative co-stimulatory molecules PD-1 and CTLA-4 improves survival in primary and secondary fungal sepsis. Critical Care 17, R85 (2013).

    Article  Google Scholar 

  27. Soskic, B., Qureshi, O. S., Hou, T. & Sansom, D. M. Chapter Four - A Transendocytosis Perspective on the CD28/CTLA-4 Pathway. In Advances in Immunology (ed. Alt, F. W.) 124, 95–136 (Academic Press, 2014).

  28. Marron, M. P. et al. Insulin-Dependent Diabetes Mellitus (IDDM) Is Associated with CTLA4 Polymorphisms in Multiple Ethnic Groups. Hum Mol Genet 6, 1275–1282 (1997).

    CAS  Article  Google Scholar 

  29. Benhatchi, K., Jochmanová, I., Habalová, V., Wagnerová, H. & Lazúrová, I. CTLA4 exon1 A49G polymorphism in Slovak patients with rheumatoid arthritis and Hashimoto thyroiditis—results and the review of the literature. Clin Rheumatol 30, 1319–1324 (2011).

    Article  Google Scholar 

  30. Ligers, A., Teleshova, N., Masterman, T., Huang, W.-X. & Hillert, J. CTLA-4 gene expression is influenced by promoter and exon 1 polymorphisms. Genes and Immunity 2, 145–152 (2001).

    CAS  Article  Google Scholar 

  31. Reference SNP (refSNP) Cluster Report: rs231775. Available at: https://www.ncbi.nlm.nih.gov/projects/SNP/snp_ref.cgi?rs=231775 (Accessed: 11th June 2018).

  32. Mansur, A. et al. Impact of statin therapy on mortality in patients with sepsis-associated acute respiratory distress syndrome (ARDS) depends on ARDS severity: a prospective observational cohort study. BMC Medicine 13 (2015).

  33. Narooie-Nejad, M., Taji, O., Tamandani, D. M. K. & Kaykhaei, M. A. Association of CTLA-4 gene polymorphisms −318C/T and +49A/G and Hashimoto’s thyroidits in Zahedan, Iran. Biomedical Reports 6, 108 (2017).

    CAS  Article  Google Scholar 

  34. Kouki, T. et al. CTLA-4 Gene Polymorphism at Position 49 in Exon 1 Reduces the Inhibitory Function of CTLA-4 and Contributes to the Pathogenesis of Graves’ Disease. The Journal of Immunology 165, 6606–6611 (2000).

    CAS  Article  Google Scholar 

  35. Mansur, A. et al. Genetic Polymorphisms in Endothelin-1 as Predictors for Long-Term Survival and the Cardiac Index in Patients Undergoing On-Pump Cardiac Surgery. PLoS ONE 10 (2015).

    Article  Google Scholar 

  36. Bone, R. C. et al. Definitions for Sepsis and Organ Failure and Guidelines for the Use of Innovative Therapies in Sepsis. CHEST 101, 1644–1655 (1992).

    CAS  Article  Google Scholar 

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Acknowledgements

The authors thank the staff of the ICUs of the Department of Anesthesiology and Department of General and Visceral Surgery and all of whom were involved in patient care and monitoring. The authors thank Benjamin Liese, Simon Wilmers, Yvonne Klee, Sebastian Gerber, Chang Ho Hong, Fabian Kriesel, Julius Runzheimer and Carolin Böhnke for their help with data acquisition. The authors thank the Department of Clinical Pharmacology, specifically Karolin Jobst and Ole Jensen for their support and supervision on the DNA extraction and genotyping. This study was supported by the VolkswagenStiftung, grant ZN3168.

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Contributions

All authors contributed to the study design, data acquisition, and data analyses and interpretation. Specifically, C.M. and B.B. performed the clinical data collection. A.A., A.P., M.G., M.T. and T.B. participated in the study design and clinical data monitoring or interpretation. T.B. contributed to the study design and conception, performed the bioinformatics analyses, and approved the statistical analyses. J.H., S.S., I.B., C.M. and A.M. designed the study, performed the statistical analyses, and drafted the manuscript. All authors were involved in either the drafting or revision of the manuscript. All authors approved the final version of the manuscript.

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Correspondence to Ashham Mansur.

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Mewes, C., Büttner, B., Hinz, J. et al. The CTLA-4 rs231775 GG genotype is associated with favorable 90-day survival in Caucasian patients with sepsis. Sci Rep 8, 15140 (2018). https://doi.org/10.1038/s41598-018-33246-9

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Keywords

  • Immune Pathophysiology
  • Primary Outcome Parameter
  • Allele Carriers
  • Adult Caucasian Patients
  • Sequential Organ Failure Assessment (SOFA)

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