Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Ann Surg. 2014 Jan;259(1):10.1097/SLA.0b013e31828538e8. doi: 10.1097/SLA.0b013e31828538e8

Toll-like Receptor 1 Polymorphisms and Associated Outcomes in Sepsis Following Traumatic Injury, A Candidate Gene Association Study

Callie M Thompson 1, Tarah D Holden 2, Rona RN Gail 2, Balaji Laxmanan 2, R Anthony Black 2, Grant E O’Keefe 1, Mark M Wurfel 2
PMCID: PMC3686843  NIHMSID: NIHMS440296  PMID: 23478521

Abstract

Objective

To determine if SNPs in TLR1 are associated with mortality, specifically sepsis-associated mortality, in a traumatically injured population.

Summary Background Data

Innate immune responses mediated by toll-like receptors (TLRs), induce early inflammatory responses to pathogen and damage-associated molecular patterns. Genetic variation in TLRs has been associated with susceptibility and outcomes in a number of infectious and non-infectious disease states.

Methods

Patients admitted to the trauma intensive care unit at a level one trauma center serving 4 states were enrolled and followed for development of infection, sepsis, and death. Genomic DNA was genotyped and logistic regression analysis performed to determine associations between TLR1 SNPs and mortality. We further examined for associations between TLR1 SNPs and mortality in subgroups based on the presence of sepsis and the type of sepsis-associated organism.

Results

We enrolled 1,961 patients.TLR1-7202G (rs5743551) was associated with increased mortality after traumatic injury and this association was primarily observed in the subset of patients who developed sepsis (adjusted OR 3.16; 95% CI 1.43–6.97, P=0.004). This association persisted after further restriction to gram-positive sepsis. TLR1742A/G(Asn248Ser) (rs4833095), a coding SNP in LD with TLR1-7202Gwas also associated with mortality in gram-positive sepsis (adjusted OR 4.16; 95% CI 1.22–14.19, P=0.023).

Conclusion

Genetic variation in TLR1 is associated with increased mortality in patients with sepsis following traumatic injury and may represent a novel marker of risk for death in critically injured patients.

INTRODUCTION

Genetic variation in the form of single nucleotide polymorphisms [SNPs] has been associated with both the risk for and outcomes from infection in critically ill patients.[14] Studies have shown that genetic variation predisposing to increased inflammation may alter outcomes in sepsis both in laboratory models and clinical cohorts.[5, 6] One example of this paradigm involves the gene for toll-like receptor 1 (TLR1). Two SNPs in TLR1 [TLR1-7202A/G (rs5743551) and TLR11804G/T (rs5743618)] have previously been shown to confer higher innate immune inflammatory responses to Pam3CysSerLys4 (Pam3CSK4), a synthetic analog of bacterial lipoproteins and specific ligand for TLR1/TLR2 heterodimers.[1] These SNPs have also been associated with higher mortality, worse organ dysfunction, and higher prevalence of gram positive infection in sepsis cases in a cohort of patients admitted to an intensive care unit with primarily non-surgical illness.[1] In patients with traumatic or thermal injury, candidate gene studies have linked other components of the innate immune system with risk of sepsis and mortality including lipopolysaccharide binding protein (LBP), toll-like receptor 4 (TLR4), and tumor necrosis factor-alpha (TNF-a).[3, 7, 8] In addition to their role in host defense through the recognition of pathogen associated molecular pattern (PAMP) responses, TLRs have also been shown to recognize endogenous ligands that are released in response to cellular necrosis or tissue damage. These endogenous activators are termed damage associated molecular patterns (DAMPs) and have been implicated in a wide variety of clinical illnesses (Reviewed in [9, 10]) including hemorrhagic shock in trauma.[11, 12] Thus, variation in genes of innate immunity could influence outcomes in critically injured patients in a variety of ways. In the study reported here, we sought to determine if SNPs in TLR1 are associated with mortality in patients who have been traumatically injured. Specifically, because TLR1 is thought to be involved in the innate immune response to infection through the recognition of PAMPs[13, 14] we sought to identify associations between SNPs in TLR1 and sepsis-associated mortality after traumatic injury. We also examined whether variants in TLR1 might have a differential effect in the presence of gram-positive sepsis given that prior reports have associated TLR1 variants with increased prevalence of gram-positive infection.[1] The results presented here show that variation in TLR1 may play a role in modulating risk of death in trauma-related sepsis.

METHODS

Patient Recruitment, Data Collection, and Definitions

Injured patients admitted to the trauma ICU at Harborview Medical Center in Seattle, Washington were enrolled during the period of August 2003 to December 2005 with approval of the Institutional Review Board. Demographic and clinical data were collected from the electronic medical record and the trauma registry as previously described.[8] A patient was classified as severely injured if their injury severity score (ISS) was greater than or equal to 16. Severe head, thoracic or abdominal traumatic injury was defined as an abbreviated injury scale (AIS) score of greater than or equal to 3. Incident cases of sepsis were identified through chart abstraction according to the guidelines of the American College of Chest Physicians/Society of Critical Care Medicine Consensus Committee.[15] Cultures were drawn at the discretion of the managing physicians for clinical suspicion of infection. Positive cultures from blood, urine, lower respiratory tract, tissue, catheter tips, cerebral spinal fluid and wounds were considered clinically significant if the quantitative count of the culture was >100,000 CFU/ml for urine and >10,000 CFU/ml for lower respiratory, or if a true quantitative count was unavailable, a value of >2+ as reported by our laboratory. For patients with multiple cultures, we used the first significant culture of gram positive and/or non-gram positive organisms occurring after admission to the ICU. Patients were classified as having acute respiratory distress syndrome (ARDS) if they had acute onset of a PaO2/FiO2≤ 200, bilateral infiltrates consistent with pulmonary edema on chest x-ray, the need for positive pressure ventilation via endotracheal tube, and no clinical evidence of left atrial hypertension all occurring within the same 24-hour interval. Patients were classified as having acute kidney injury (AKI) if they met stage 2 or 3 AKIN criteria.[16]

Genotyping

We genotyped three SNPs in TLR1 in a blinded fashion, TLR1-7202A/G (rs5743551) found in the 5’ non-coding region, TLR11804G/T (Ser602Ile) (rs5743618) found adjacent to the predicted transmembrane domain, and TLR1742A/G (Asn248Ser) (rs4833095), a non-synonymous SNP within the extracellular domain of TLR1. These SNPs were chosen based on existing literature indicating associations with outcomes in critically ill patients. Genotypes were determined by TaqMan-based real-time polymerase chain reaction (RT-PCR) for rs5743551 and rs4833095 as previously described.[17] Genotyping for rs5743618 used a restriction fragment length polymorphism introduced by this SNP. Briefly, a 1334 bp fragment containing this SNP was amplified from genomic DNA, then digested with the restriction enzyme PstI (Thermo Scientific) and the resulting fragments were visualized by gel electrophoresis; “GG” subjects were expected to have two bands at 457bp and 877bp"TT” subjects were expected to have a single band at 1334bp, and “GT” subjects were expected to have all three bands. We included technical replicates on approximately two percent of samples.

Statistical Analysis

Categorical data are presented as counts and percentages. Continuous data are presented as medians and interquartile ranges (IQR). Categorical data were compared by χ2 analysis and continuous data were analyzed using Student’s t-test. For each comparison, the exact P values are reported and were considered significant if P<0.05. Observed genotype frequencies were compared with expected frequencies to test for deviations from Hardy-Weinberg equilibrium. The primary outcome for this study was in-hospital mortality. The secondary analyses included sepsis-associated mortality, susceptibility to sepsis, sepsis severity, ARDS in sepsis, AKI in sepsis and gram-positive sepsis-associated mortality. We used multiple logistic regression analysis to test for associations between TLR1 genotypes and mortality. We tested recessive and co-dominant models that were adjusted for identified confounding variables of age, ISS, head AIS, and blood transfusion. Given that we tested two different models per genotype we assigned statistical significance to tests achieving P<0.025. We carried out these analyses in the entire cohort as well as subgroups of patients with or without sepsis, and with or without gram-positive sepsis. To minimize the risk of confounding due to racial differences in SNP frequency, we limited our analysis to Caucasian patients. Data were analyzed using Stata 12 Statistical Software (StataCorp LP. College Station, TX). A power analysis was performed using CaTS power calculator from the University of Michigan Center for Statistical Genetics (http://csg.sph.umich.edu/).[18]

RESULTS

Demographics and Clinical Outcomes

A total of 1,961 subjects were enrolled and genotyped. Of these, 1,498 (77%) were Caucasian and were included in our analysis. Demographic and outcomes data for these patients are summarized in Table 1. The majority of patients (70%) were male. The most common cause of injury was blunt trauma occurring in 1,341 patients (90%). The majority of patients were severely injured with a median ISS of 22 (IQR, 16–29). Median ICU length of stay was 5 days (2–12) and median hospital length of stay was 12 days (7–22). Sepsis developed in 691 patients (46%) with 316 patients developing severe sepsis or septic shock (21%).

Table 1.

Demographic and Outcome Data (n=1498)

Variable Median/Count
Demographics
Age, yrs 40 (22–54)
Gender
   Male 1050 (70)
   Female 448 (30)
Injury Mechanism
   Blunt 1341 (90)
   Penetrating 91 (6)
   Thermal 66 (4)
Injury Severity Score 22 (16–29)
Severe traumatic brain injury 739 (50)
Severe thoracic injury 620 (42)
Severe abdominal injury 310 (21)
Any PRBC transfusion 1130 (58)
Severity of sepsis
   No sepsis 807 (54)
   Sepsis 375 (25)
   Severe Sepsis 245 (16)
   Septic Shock 71 (5)
Outcomes
ICU length of stay, days 5 (2–12)
Hospital length of stay, days 12 (7–22)
Died 151 (10)

PRBC=packed red blood cells

Severe traumatic brain, thoracic or abdominal injury defined as abbreviated injury scale score ≥ 3. Continuous variables are presented as median (IQR). Categorical variables are presented as number (%).

A power analysis was performed post-hoc and we estimated that using a recessive model our study would have adequate statistical power (1-β>0.8) to detect a strong association with sepsis-associated mortality (odds ratio, OR≥ 2.8) with SNPs having a minor allele frequency (MAF) of >0.2. Assuming a co-dominant model, we would have adequate power to detect a moderate association (OR≥ 1.5) with SNPs having a MAF of >0.2.

Clinical Risk Factors for Mortality

In-hospital mortality was 10% (151 patients). Compared to those who survived, those who died were older, had higher injury severity scores, higher head AIS scores, and had more blood transfusions (P<0.001), these identified covariates were subsequently used in our multiple logistic regression analysis and are summarized in table 2. Sepsis-associated mortality was 5.5% (83 patients). There were no differences in rates of laparotomy, thoracotomy or operative fracture fixation between the patients with sepsis that died compared to those who survived (data not shown).

Table 2.

Demographic and Outcome Data According to Survival

Died
(n=151)
Survived
(n=1347)
P-value
Age 54 39 <0.001
Male 109 (72) 941 (70) 0.55
ISS 28 23 <0.001
Severe traumatic brain injury 95 (64) 644 (48) <0.001
Severe thoracic injury 60 (40) 560 (42) 0.68
Severe abdominal injury 33 (22) 277 (21) 0.7
Any PRBC transfusion 121 (80) 752 (56) <0.001
Severity of sepsis <0.001
   No sepsis 68 (45) 739 (55)
   Sepsis 27 (18) 348 (26)
   Severe Sepsis 18 (12) 227 (17)
   Septic Shock 38 (25) 33 (2)

ISS=injury severity score, PRBC=packed red blood cells

Severe traumatic brain, thoracic or abdominal injury defined as abbreviated injury scale score ≥ 3. Continuous variables are presented as median. Categorical variables are presented as number (%). Exact P values are reported and considered significant if P<0.05.

There were a total of 4,313 positive cultures recorded for the 1,961 subjects; most subjects had more than one positive culture during their hospital stay. Among the subjects who developed sepsis there were 523 with clinically significant cultures; 371 patients had cultures of gram-positive organisms (54% of patients with sepsis) and 342 patients had cultures of gram-negative organisms (49% of patients with sepsis). For the gram-positive cultures, the most common microorganism identified was Staphylococcus aureus and the most common source of the culture was the lower respiratory tract. A summary of the clinically significant gram-positive infections by species and source for the patients with sepsis can be found in supplemental table 1. For the gram-negative cultures, the most common microorganism identified was Escherichia coli and the most common source was again the lower respiratory tract. A summary of the clinically significant gram-negative culture data for the patients with sepsis can be found in supplemental table 2.

TLR1 SNPs Are Associated with Higher Mortality After Traumatic Injury

TLR1-7202A/G was successfully genotyped in 1,426 patients (95%) and TLR11804G/T was genotyped in 1,406 patients (94%). The genotype frequencies of both SNPs were consistent with Hardy-Weinberg equilibrium (Table 3). Table 3 illustrates the SNP genotype frequencies according to survival status. After adjusting for age, ISS, head AIS, and packed red blood cell (PRBC) transfusion, we found an association between TLR1-7202G and in-hospital mortality when we assumed a recessive effect of the allele (adjusted odds ratio [OR], 2.41; P=0.006). We did not see a significant association between homozygosity for TLR11804T and in-hospital mortality (OR, 1.68; P=0.06). Using a co-dominant model, we saw an association between TLR1-7202G and in-hospital mortality (OR, 1.46; P=0.01) and again we did not see an association between TLR11804T and in-hospital mortality (data not shown). In subsequent analyses we assumed a recessive effect of the variants on the phenotype because that is where we saw the strongest associations, consistent with prior reports.[1]

Table 3.

TLR1 Genotype Frequencies and Associations with Mortality

TLR1-7202A/G

N AA AG GG
All 1,426 823 (57.7) 517 (36.3) 86 (6.0)

    Survived 1,285 750 (91.1) 464 (89.8) 71 (82.6)
    Died 141 73 (8.9) 53 (10.2) 15 (17.4)
HWE 0.6885
OR for Death 95% CI P value
TLR1-7202A/G 2.41 1.28–4.55 0.006
Age 1.9 1.57–2.29 <0.001
ISS 1.23 1.01–1.50 0.043
Head AIS 1.27 1.14–1.42 <0.001
PRBC Transfusion 3 1.86–4.81 <0.001
TLR11804G/T(Ser602Ile)

N GG GT TT

All 1,406 706 (50.2) 568 (40.4) 132 (9.3)

    Survived 1,265 641 (90.7) 512 (90.1) 112 (84.9)
    Died 141 65 (9.2) 56 (9.9) 20 (15.1)
HWE   0.2537
OR for Death 95% CI P value
TLR11804G/T 1.68 0.97–2.9 0.06
Age 1.84 1.52–2.22 <0.001
ISS 1.22 0.99–1.49 0.056
Head AIS 1.27 1.14–1.41 <0.001
PRBC Transfusion 2.96 1.7–4.27 <0.001

HWE= Hardy-Weinberg Equilibrium, OR=odds ratio, CI=Confidence interval, ISS=injury severity score, AIS=abbreviated injury scale ≥ 3, PRBC=packed red blood cell

Odds Ratios and P values were determined by logistic regressions adjusted for age, ISS, head AIS and PRBC transfusion.

TLR1 SNPs Are Associated with Higher Mortality with Sepsis After Traumatic Injury

Given the role TLR1 is thought to play in the innate immune response to infection we next investigated the degree to which associations between genetic variation in TLR1 and trauma-related mortality persisted when the analysis was restricted to patients who developed sepsis. Table 4 illustrates the SNP genotype frequencies in patients with sepsis according to their survival status. We found an association between homozygosity for TLR1-7202G and mortality with sepsis (adjusted odds ratio [OR], 3.16; P=0.004). We also saw an association between homozygosity for TLR11804T and mortality with sepsis (OR, 2.48; P=0.008). Notably, we observed no significant association between TLR1 genetic variation and mortality in patients without sepsis (Supplemental table 3). In addition, we did not identify associations between any of the TLR1 polymorphisms and susceptibility to sepsis (Adjusted risk for sepsis with TLR1-7202A/G: 1.34 (95% CI 0.85–2.10; P=0.207 and for TLR11804G/T: 1.13 95% CI 0.78–1.64; P=0.517) consistent with prior findings [1].

Table 4.

TLR1 Genotype Frequencies and Associations with Mortality in Sepsis

TLR1-7202A/G

N AA AG GG
All 662 368 (55.6) 249 (37.6) 45 (6.8)

    Survived 583 326 (88.6) 223 (89.6) 34 (75.6)
    Died 79 42 (11.4) 26 (10.4) 11 (24.4)
OR for Death 95% CI P value
TLR1-7202A/G 3.16 1.43–6.97 0.004
Age 2.4 1.79–3.23 <0.001
ISS 1.16 0.87–1.55 0.3
Head AIS 1.17 1.01–1.35 0.038
PRBC Transfusion 2.6 1.17–5.76 0.019
TLR11804G/T(Ser602Ile)

N GG GT TT

All 654 317 (48.5) 272 (41.6) 65 (9.9)

    Survived 577 280 (88.3) 247 (90.8) 50 (76.9)
    Died 77 37 (11.7) 25 (9.2) 15 (23.1)
OR for Death 95% CI P value
TLR11804G/T 2.48 1.26–4.88 0.008
Age 2.28 1.7–3.07 <0.001
ISS 1.1 0.83–1.47 0.496
Head AIS 1.19 1.03–1.38 0.018
PRBC Transfusion 2.15 1.01–4.61 0.048

OR=odds ratio, CI=Confidence interval, ISS=injury severity score, AIS=abbreviated injury scale ≥ 3, PRBC=packed red blood cell

Odds Ratios and P values were determined by logistic regressions adjusted for age, ISS, head AIS and PRBC transfusion.

In secondary analyses we explored whether TLR1 variants were associated with common forms of organ dysfunction in sepsis, Acute Respiratory Distress Syndrome (ARDS) and Acute Kidney Injury (AKI). The incidence of ARDS in sepsis was 43.9% and the incidence of AKI in sepsis was 46.3%. We did not identify significant associations between the TLR1 polymorphisms and ARDS (adjusted risk for ARDS in sepsis with TLR1-7202G: 1.53 (95% CI 0.82–2.8; P=0.178 and for TLR11804T: 1.21 95% CI 0.71–2.1; P=0.486) or AKI (adjusted risk for AKI in sepsis with TLR1-7202G: 1.33 (95% CI 0.71–2.5; P=0.371 and for TLR11804T: 1.2 95% CI 0.7–2.1; P=0.508) in the patients with sepsis;, though there were trends towards a higher incidence of ARDS and AKI in TLR1-7202G and TLR11804T homozygotes (Table 5).

Table 5.

TLR1 Genotype Frequencies and Associations with ARDS or AKI in Sepsis

TLR1-7202A/G

N AA AG GG OR 95% CI P value
ARDS 291 155 (42) 112 (45) 24 (53) 1.53 0.82–2.86 0.178
No ARDS 370 213 (58) 112 (55) 21 (47)
AKI 303 160 (43) 120 (48) 23 (51) 1.33 0.71–2.54 0.371
No AKI 359 208 (57) 129 (52) 22 (49)
TLR11804G/T

N GG GT TT OR 95% CI P value

ARDS 287 142 (45) 113 (42) 32 (49) 1.21 0.71–2.1 0.486
No ARDS 366 175 (55) 158 (58) 33 (51)
AKI 300 139 (44) 129 (47) 32 (49) 1.2 0.7–2.07 0.508
No AKI 354 178 (56) 143 (53) 33 (51)

ARDS=acute respiratory distress syndrome, AKI=acute kidney injury, OR=odds ratio, CI=Confidence interval

Odds Ratios and P values were determined by logistic regressions adjusted for age, ISS, head AIS and PRBC transfusion.

TLR1 forms a heterodimer with TLR2 at the cell surface and this dimer is thought to specifically play a role in innate immune host responses to gram-positive infection.[13, 19, 20] In light of this biology, we next tested for associations between variation in TLR1 and mortality in patients with gram-positive sepsis. Three hundred fifty three (24.8%) of the 1,394 patients genotyped for TLR1-7202A/G had gram-positive sepsis. We identified a greater than 4-fold increased risk of death in gram-positive sepsis among TLR1-7202G homozygotes (Table 6P=0.013). For patients homozygous for TLR11804T we did not identify an association with mortality in gram-positive sepsis. Of note, we found no association between any of the TLR1 genetic variations and mortality in patients with non-gram positive sepsis (Supplemental table 4).

Table 6.

TLR1 Genotype Frequencies and Associations with Mortality in Gram-Positive Sepsis

TLR1-7202A/G

N AA AG GG
All 353 196 (49.9) 137 (38.8) 20 (5.7)

   Survived 320 176 (89.8) 129 (94.2) 15 (75)
   Died 33 20 (10.2) 8 (5.8) 5 (25)
OR for Death 95% CI P value
TLR1-7202A/G 4.88 1.4–17.03 0.013
Age 2.22 1.43–3.47 <0.001
ISS 1.33 0.83–2.12 0.237
Head AIS 1.19 0.96–1.48 0.114
PRBC Transfusion 9.97 1.27–77.71 0.028
TLR11804G/T(Ser602Ile)

N GG GT TT

All 346 167 (48.2) 146 (42.2) 33 (9.5)

   Survived 313 149 (89.2) 137 (93.8) 27 (81.8)
   Died 33 18 (10.8) 9 (6.2) 6 (18.2)
OR for Death 95% CI P value
TLR11804G/T 1.89 0.66–5.44 0.239
Age 1.89 1.24–2.88 0.003
ISS 1.22 0.77–1.92 0.384
Head AIS 1.23 0.99–1.53 0.058
PRBC Transfusion 9.43 1.24–71.96 0.03

OR=Odds Ratio, CI=Confidence interval, ISS=injury severity score, AIS=abbreviated injury scale ≥ 3, PRBC=packed red blood cell

Odds Ratios and P values were determined by logistic regressions adjusted for age, ISS, head AIS and PRBC transfusion.

Nonsynonymous TLR1 SNP is Associated with Mortality in Gram Positive Sepsis

Given that we did not observe an association between TLR11804G/T a non-synonymous SNP, and mortality in gram-positive sepsis we sought additional coding variations that might explain the association seen with TLR1-7202A/G. The non-synonymous SNP, rs4833095 [TLR1742A/G (Asn248Ser)], is in significant LD (R2=0.93) with TLR1-7202A/G (Table 7). TLR1742A/G was genotyped in 1,394 patients (93%, Table 8). Mortality in patients with gram positive sepsis was significantly higher in patients who were homozygous for the rare versus common variant (26.3% vs. 11.3%, P=0.014). In the adjusted analysis we observed a significant association of TLR1742G with mortality in gram-positive sepsis (OR, 4.13, P=0.023).

Table 7.

Linkage Disequilibrium between TLR1 SNPs

rs5743551 rs5743618 rs4833095
rs5743551 1*
rs5743618 0.76 1
rs4833095 0.93 0.76 1
*

Values are presented as R2

Table 8.

TLR1742A/G(Asn248Ser) Genotype Frequencies and Association with Mortality in Gram-Positive Sepsis

TLR1742A/G(Asn248Ser)+

N AA AG GG
All 350 195 (55.7) 136 (38.8) 19 (5.4)

   Survived 315 173 (88.7) 128 (94.1) 14 (73.7)
   Died 35 22 (11.3) 8 (5.9) 5 (26.3)
OR for Death 95% CI P value
TLR1742A/G 4.16 1.22–14.19 0.023
Age 2.04 1.34–3.11 0.001
ISS 1.24 0.79–1.94 0.338
Head AIS 1.22 0.99–1.5 0.066
PRBC Transfusion 10.3 1.33–79.2 0.025

OR=odds ratio, CI=Confidence interval

+

Hardy Weinberg Equilibrium=0.9209

Odds Ratios and P values were determined by logistic regressions adjusted for age, ISS, head AIS and PRBC transfusion.

DISCUSSION

Traumatic injury is the 5th leading cause of death in the United States and the leading cause of death among young adults.[21] The majority of these deaths occur immediately following the injurious event. Patients that survive the early time period after trauma are at risk of developing, and possibly dying from, sepsis and sepsis-associated multiple organ dysfunction and failure. Sepsis following traumatic injury is associated with greater ICU and hospital length of stay, more ventilator days, increased incidence of multiple organ failure and increased in-hospital mortality compared to those who do not develop sepsis. Despite decreases in both the incidence of sepsis and the overall in-hospital mortality of trauma patients, the mortality in trauma patients with sepsis has not changed.[22] The finding of decreased incidence of sepsis and decreased mortality in trauma patients is likely the result of improved management in the early post-trauma period, increased understanding of clinical risk factors for sepsis in trauma patients and resultant improvements in management of these patients overall. However, the persistent incidence of mortality in trauma-related sepsis remains a troubling problem. Recently, interest has turned to the potential role for genetic variation in altering host susceptibility to sepsis-related outcomes. In this study we have addressed the question of whether genetic differences that affect leukocyte inflammatory response to bacterial products, and, potentially, DAMPs, might be associated with increased sepsis-related mortality in patients who have experienced major trauma.

The TLR1-7202A/G SNP is located in the 5’ untranslated region of the TLR1 gene on chromosome 4 at the -7202 position relative to the start codon. TLR11804G/T and TLR1742A/G are both located in coding regions of the TLR1 gene. TLR11804G/T causes an amino acid change from serine to isoleucine in the region of the TLR1 protein that has been predicted to be in the transmembrane domain.[23] TLR1742A/G causes an amino acid change from asparagine to serine in a region predicted to be in the extracellular domain. Both the TLR11804T and TLR1742G variants are predicted to be benign by PolyPhen-2[24] with scores of 0 and 0.001, respectively and to be tolerated by SIFT[25] analysis with scores of 0.40 and 0.50, respectively.

TLR1-7202G has been associated with a hypermorphic effects on innate immune inflammatory responses ex vivo and has been associated with higher mortality, organ dysfunction and susceptibility to gram-positive infection in patients with severe sepsis.[1] TLR11804T is in high LD with TLR1-7202G and has been shown to cause hyper-responsiveness to Pam3CSK4 in transient transfection assays. Healthy carriers of the G allele have increased cell surface expression of TLR1 on peripheral blood monocytes. This polymorphism has also been associated with increased mortality in sepsis,[1] protective association against leprosy, [26] and protection from pyelonephritis.[27] TLR1742A/G has been associated circulatory dysfunction in sepsis as well as with pulmonary infection among septic patients.[28] This same study also found that TLR1-7202A/G and TLR11804G/T were associated with circulatory dysfunction in sepsis. Additionally, TLR1742A/G has been associated with increased susceptibility to malaria in pregnancy,[29] and increased risk of IgA nephropathy in Korean children.[30] Taken together, these findings strongly suggest an important role for TLR1 in modulating host responses to infection.

Our study provides an important extension of previous associations between TLR1 SNPs and sepsis-related outcomes. In contrast to previous studies that used populations of patients primarily from medical ICUs for whom time of onset of sepsis is ill defined, this study used a traumatically injured cohort who suffered an inciting event at a known time and of a quantifiable severity. Thus, the interpretation of the observed associations is less likely to be influenced by unmeasured confounders. Furthermore, the initial inflammatory stimulus for most of these patients was non-infectious and, thus, we were able to test to what extent TLR1 polymorphisms may influence outcomes in the presence or absence of severe infection/sepsis. We were able to show that the positive association seen between TLR1-7202A/G and mortality in critically ill patients who sustained traumatic injury was driven by the subset of patients that had gram-positive sepsis as we did not observe a significant association in patients without sepsis or those with non-gram-positive sepsis. This study is the first to suggest that TLR1 variants affect outcomes from primarily gram-positive sepsis.

We have an incomplete understanding of how TLR1 variants affect risk for death in patients with sepsis. In patients with sepsis from a medical intensive care unit TLR1-7202G has been associated with less days free of organ dysfunction[28] and susceptibility to acute lung injury.[1] While we did not identify an association between the TLR1 polymorphisms and development of ARDS or AKI in trauma-related sepsis there was a trend towards a higher incidence of both forms of organ dysfunction among subjects homozygous for the rare variant (TLR1-7202G). The failure to detect a statistically significant association may be the result of the inadequate power to detect such a relationship. Larger studies in well-phenotyped populations with sepsis will be needed to better elucidate the antecedent events leading to death in patients homozygous for the TLR1-7202G variant.

From a cellular and molecular standpoint, the large hypermorphic effect on innate immune inflammatory responses in human whole blood ex vivo that have been seen with TLR1-7202G 1 provides a potential explanation for the associations we have observed. We hypothesize that over-activation of the innate immune system via TLR1-specific responses leads to an increase in systemic inflammation predisposing to death. Notably, ex vivo studies have shown that the effect of TLR1-7202A/G is co-dominant while the clinical association with mortality in this study as well as in our prior report was recessive. In our association study, we observed a trend towards lower sepsis-associated mortality in the heterozygous state (table 4). These findings raise the possibility that the inflammation induced in the heterozygous state may be at least marginally beneficial and that a state of balancing selection might explain why this highly functional allele persists at such a high frequency in the population.

This study has some potential limitations. Although we have associated coding variants within TLR1 with trauma-related sepsis mortality we have not definitively shown which variants within the LD block are necessary for the effect. Given that there exists extended LD within the TLR1 locus[31] as well as a gene cluster involving TLR6-TLR1-TLR10 on chromosome 4,[32] future studies in non-Caucasian or admixed populations will be necessary to more finely map the causative SNPs. In addition, the sub-group analyses testing for association between TLR1 variant and sepsis-related mortality by infection type were statistically underpowered. Furthermore, only the first clinically-relevant positive culture of a gram-positive and/or gram-negative organism(s) was taken into account for this study but most patients had more than one positive culture during their hospital course. Therefore, it is possible that the first culture did not represent the causal microorganism for the development of sepsis. In spite of these limitations, our findings are congruent with prior findings linking TLR1-7202G to a higher prevalence of gram-positive infections in patients with sepsis and predominantly medical illnesses.[1] Larger prospective studies will be needed to accurately determine effect sizes in gram-positive sepsis and exclude significant associations in gram-negative sepsis.

In summary, we have identified an association between genetic variation in TLR1 and mortality in sepsis after severe traumatic injury. This study extends previous associations with TLR1 in patients with sepsis in predominantly non-surgical patients. We have also found evidence that TLR1 variation may have effects on mortality that are specific to gram-positive infection. Future research will determine the mechanisms linking TLR1 to increased mortality and whether early testing for these genetic variants might drive changes in practice such as more frequent surveillance cultures, timing and choice of prophylactic or empiric antibiotics, or use of novel therapeutic interventions modulating TLR1 function.

Supplementary Material

01

Acknowledgments

Supported by T32 GM00737 (C.T.) 1R01 GM066946-01 (G.E.K.) AI57141 (M.M.W.)

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

REFERENCES

  • 1.Wurfel MM, Gordon AC, Holden TD, et al. Toll-like receptor 1 polymorphisms affect innate immune responses and outcomes in sepsis. Am J Respir Crit Care Med. 2008;178:710–720. doi: 10.1164/rccm.200803-462OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.O'Keefe GE, Hybki DL, Munford RS. The G-->A single nucleotide polymorphism at the-308 position in the tumor necrosis factor-alpha promoter increases the risk for severe sepsis after trauma. J Trauma. 2002;52:817–825. doi: 10.1097/00005373-200205000-00001. ; discussion 825–816. [DOI] [PubMed] [Google Scholar]
  • 3.Shalhub S, Pham TN, Gibran NS, O'Keefe GE. Tumor necrosis factor gene variation and the risk of mortality after burn injury: a cohort study. J Burn Care Res. 2009;30:105–111. doi: 10.1097/BCR.0b013e3181921f60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Barber RC, Aragaki CC, Rivera-Chavez FA, et al. TLR4 and TNF-alpha polymorphisms are associated with an increased risk for severe sepsis following burn injury. J Med Genet. 2004;41:808–813. doi: 10.1136/jmg.2004.021600. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.De Maio A, Mooney ML, Matesic LE, et al. Genetic component in the inflammatory response induced by bacterial lipopolysaccharide. Shock. 1998;10:319–323. doi: 10.1097/00024382-199811000-00002. [DOI] [PubMed] [Google Scholar]
  • 6.Stuber F, Petersen M, Bokelmann F, Schade U. A genomic polymorphism within the tumor necrosis factor locus influences plasma tumor necrosis factor-alpha concentrations and outcome of patients with severe sepsis. Crit Care Med. 1996;24:381–384. doi: 10.1097/00003246-199603000-00004. [DOI] [PubMed] [Google Scholar]
  • 7.Zeng L, Gu W, Zhang AQ, et al. A functional variant of lipopolysaccharide binding protein predisposes to sepsis and organ dysfunction in patients with major trauma. Ann Surg. 2012;255:147–157. doi: 10.1097/SLA.0b013e3182389515. [DOI] [PubMed] [Google Scholar]
  • 8.Shalhub S, Junker CE, Imahara SD, et al. Variation in the TLR4 gene influences the risk of organ failure and shock posttrauma: a cohort study. J Trauma. 2009;66:115–122. doi: 10.1097/TA.0b013e3181938d50. ; discussion 122–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Piccinini AM, Midwood KS. DAMPening inflammation by modulating TLR signalling. Mediators Inflamm. 2010;2010 doi: 10.1155/2010/672395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lafferty EI, Qureshi ST, Schnare M. The role of toll-like receptors in acute and chronic lung inflammation. J Inflamm (Lond) 2010;7:57. doi: 10.1186/1476-9255-7-57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Cohen MJ, Brohi K, Calfee CS, et al. Early release of high mobility group box nuclear protein 1 after severe trauma in humans: role of injury severity and tissue hypoperfusion. Crit Care. 2009;13:R174. doi: 10.1186/cc8152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yang R, Harada T, Mollen KP, et al. Anti-HMGB1 neutralizing antibody ameliorates gut barrier dysfunction and improves survival after hemorrhagic shock. Mol Med. 2006;12:105–114. doi: 10.2119/2006-00010.Yang. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Takeuchi O, Sato S, Horiuchi T, et al. Cutting edge: role of Toll-like receptor 1 in mediating immune response to microbial lipoproteins. J Immunol. 2002;169:10–14. doi: 10.4049/jimmunol.169.1.10. [DOI] [PubMed] [Google Scholar]
  • 14.Shimizu T, Kida Y, Kuwano K. Triacylated lipoproteins derived from Mycoplasma pneumoniae activate nuclear factor-kappaB through toll-like receptors 1 and 2. Immunology. 2007;121:473–483. doi: 10.1111/j.1365-2567.2007.02594.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bone RC, Balk RA, Cerra FB, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest. 1992;101:1644–1655. doi: 10.1378/chest.101.6.1644. [DOI] [PubMed] [Google Scholar]
  • 16.Mehta RL, Kellum JA, Shah SV, et al. Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care. 2007;11:R31. doi: 10.1186/cc5713. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Livak KJ. Allelic discrimination using fluorogenic probes and the 5' nuclease assay. Genet Anal. 1999;14:143–149. doi: 10.1016/s1050-3862(98)00019-9. [DOI] [PubMed] [Google Scholar]
  • 18.Skol AD, Scott LJ, Abecasis GR, Boehnke M. Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat Genet. 2006;38:209–213. doi: 10.1038/ng1706. [DOI] [PubMed] [Google Scholar]
  • 19.Wyllie DH, Kiss-Toth E, Visintin A, et al. Evidence for an accessory protein function for Toll-like receptor 1 in anti-bacterial responses. J Immunol. 2000;165:7125–7132. doi: 10.4049/jimmunol.165.12.7125. [DOI] [PubMed] [Google Scholar]
  • 20.Lien E, Ingalls RR. Toll-like receptors. Crit Care Med. 2002;30:S1–S11. [PubMed] [Google Scholar]
  • 21.Heron M. Deaths: leading causes for 2007. Natl Vital Stat Rep. 2011;59:1–95. [PubMed] [Google Scholar]
  • 22.Wafaisade A, Lefering R, Bouillon B, et al. Epidemiology and risk factors of sepsis after multiple trauma: an analysis of 29,829 patients from the Trauma Registry of the German Society for Trauma Surgery. Crit Care Med. 2011;39:621–628. doi: 10.1097/CCM.0b013e318206d3df. [DOI] [PubMed] [Google Scholar]
  • 23.Seabury CM, Cargill EJ, Womack JE. Sequence variability and protein domain architectures for bovine Toll-like receptors 1, 5, and 10. Genomics. 2007;90:502–515. doi: 10.1016/j.ygeno.2007.07.001. [DOI] [PubMed] [Google Scholar]
  • 24.Adzhubei IA, Schmidt S, Peshkin L, et al. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7:248–249. doi: 10.1038/nmeth0410-248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Ng PC, Henikoff S. Predicting deleterious amino acid substitutions. Genome Res. 2001;11:863–874. doi: 10.1101/gr.176601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wong SH, Gochhait S, Malhotra D, et al. Leprosy and the adaptation of human toll-like receptor 1. PLoS Pathog. 2010;6:e1000979. doi: 10.1371/journal.ppat.1000979. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hawn TR, Scholes D, Li SS, et al. Toll-like receptor polymorphisms and susceptibility to urinary tract infections in adult women. PLoS One. 2009;4:e5990. doi: 10.1371/journal.pone.0005990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Pino-Yanes M, Corrales A, Casula M, et al. Common variants of TLR1 associate with organ dysfunction and sustained pro-inflammatory responses during sepsis. PLoS One. 2010;5:e13759. doi: 10.1371/journal.pone.0013759. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Hamann L, Bedu-Addo G, Eggelte TA, et al. The toll-like receptor 1 variant S248N influences placental malaria. Infect Genet Evol. 2010;10:785–789. doi: 10.1016/j.meegid.2010.05.005. [DOI] [PubMed] [Google Scholar]
  • 30.Lee JS, Park HK, Suh JS, et al. Toll-like receptor 1 gene polymorphisms in childhood IgA nephropathy: a case-control study in the Korean population. Int J Immunogenet. 2011;38:133–138. doi: 10.1111/j.1744-313X.2010.00978.x. [DOI] [PubMed] [Google Scholar]
  • 31.Kormann MS, Depner M, Hartl D, et al. Toll-like receptor heterodimer variants protect from childhood asthma. J Allergy Clin Immunol. 2008;122:86–92. e81–e88. doi: 10.1016/j.jaci.2008.04.039. [DOI] [PubMed] [Google Scholar]
  • 32.Chen YC, Giovannucci E, Kraft P, et al. Association between Toll-like receptor gene cluster (TLR6, TLR1, and TLR10) and prostate cancer. Cancer Epidemiol Biomarkers Prev. 2007;16:1982–1989. doi: 10.1158/1055-9965.EPI-07-0325. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

01

RESOURCES