Background
Sepsis, a complex clinical syndrome due to a systemic inflammatory response to bacteria and/or bacterial products, is imposing a huge burden on modern health care systems [
1,
2]. Individual response to sepsis is determined by many factors, including the virulence of the organism and the patient’s coexisting conditions [
3].
With the sequencing of human genome and the recognition of the degrees of genetic variation, it has become clear that an individual’s genetic makeup is likely to have impact on the incidence as well as outcome of sepsis [
4,
5]. As is witnessed by the recent decades, an explosion of research occurred to address the effect of genetic predisposition on the development and course of sepsis, and a single nucleotide polymorphism (SNP) in CD14 with a frequency higher than 1% in the population succeeded to draw global attention [
6].
CD14 plays a crucial role in sepsis. CD14 is involved in LPS recognition and mediates the activation of monocytes/macrophages in gram-negative bacterial infection. In addition, it is also claimed that LPS is associated even with the deterioration of gram-positive bacterial infection because products from such bacteria induce hypersensitivity to LPS [
7]. Additionally, animal study demonstrated that expression of CD14 interacted with mortality of mice treated with endotoxin [
8]. CD14-159C/T (rs2569190) is a functional polymorphism located in the 5′UTR of the promoter region of
CD14 gene, counting from the transcription start site, with a potential role of decreasing or increasing gene expression in process of sepsis [
9]. Thus, it is necessary to identify whether the genetic heterogeneity in CD14 influences the response to bacterial infection.
Several studies tried to establish an association between CD14 polymorphism and sepsis [
10,
11]. However, varied conclusions have been obtained in different studies. Our purpose in the current work is to determine whether this variant in CD14 is associated with an increased risk of sepsis or higher sepsis-related mortality by means of a human genome epidemiology review including a meta-analysis of previous data.
Methods
Literature search strategy
This meta-analysis was performed according to the recommendations of the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines [
12]. Two independent investigators performed a systematic review of English-language and Chinese-language literature in PubMed, EMBASE, ISI Web of Science, Cochrane library, ScienceDirect, Wiley Online Library and CNKI databases with the following terms: (CD14 OR CD14-159 OR CD14-159C/T OR rs2569190) AND (sepsis OR septic shock OR severe sepsis OR severe burn OR major trauma). In addition, we also searched the references of original research reports and review articles (last search: 2016.09.22). By using the MEDLINE option ‘related articles’, we tried to find all studies potentially relevant. Both investigators have received training in literature search, statistic and evidence-based medicine in Nanjing University. References of the selected publications were manually scanned to identify other relevant studies.
Inclusion and exclusion criteria
Studies were included in our meta-analysis if 1) they were focused on the relationship between CD14-159C/T polymorphism and the susceptibility to sepsis or sepsis-related mortality, 2) they studied humans, 3) enough data of selected SNP of both patients and control groups were clearly stated to calculate odds ratio (OR) and 95% confidence interval (CI), 4) the genotype frequency of control group was in accordance with Hardy-Weinberg equilibrium (HWE) [
13]. Sepsis-related mortality was defined as death caused by sepsis, severe sepsis or septic shock. For each study, HWE was evaluated using the goodness-of-fit chi-square test by our investigators. A
p < 0.05 was considered representative of a departure from HWE.
Exclusion criteria were 1) editorials, letters, comments, practice guidelines, consensus development conferences, and book chapters 2) causes of the systemic inflammatory response syndrome (SIRS) were not reliably defined;3) duplications. Disagreements on including/excluding studies were resolved by consensus. For studies without full text or sufficient data, we contacted the corresponding authors for additional information by e-mail. If no reply or the author refused to provide the data required in this meta-analysis, the study was excluded.
Using a standardized form, two investigators independently extracted data from the included studies. For each eligible study, the following characteristics were collected: authors, publication date, ethnicity, numbers of cases, sample size, allele and genotype frequencies. The frequencies of alleles were calculated for cases and controls from the corresponding genotype distributions. Both of the investigators checked the extracting data results and disagreements were settled by discussion. Senior investigators were invited to discuss if disagreement still existed.
Statistical analysis
We recorded data from all publications with a computerized spreadsheet (Microsoft Excel). ORs and 95% CIs were calculated to estimate the association between CD14-159C/T polymorphism and susceptibility or mortality of sepsis. Pooled ORs were calculated for allele frequency comparison (C versus T), additive model (CT versus TT, CC versus TT), dominant model (CC + CT versus TT), and recessive model (CC versus TT + CT), respectively. Since the studies included are not as high-quality as RCTs, random effects models were used in each analysis whether or not heterogeneity exists. Therefore the result will be more conservative and can be interpreted in a homogenous way. The significance of pooled ORs was determined by Z-test and p < 0.05 was considered as statistically significant. Due to the exploratory nature of the study, p-values were not adjusted for multiple testing.
Statistical heterogeneity among the studies was checked by chi-square-based Q-test. An I2 value less than 50% indicated no significant heterogeneity. Meta-regression was adopted to determine the potential source of heterogeneity.
Sensitivity analysis was carried out by omitting one single study each time to examine the influence of individual data sets on the pooled ORs. Publication bias of literature was assessed using funnel plots and Egger’s test. An asymmetric plot suggested a possible publication bias and P value of Egger’s test less than 0.05 was considered statistically significant. All analyses were performed using the software program RevMan Analyses software (RevMan 5.0.17) from the Cochrane collaboration. All statistical analyses were performed with Stata 12.0 software (StataCorp, College Station, TX, USA). The statistical methodology was approved by principal investigator (Ren, J) and the statistical analysis were performed by trained investigators (Wu, Q and Xu, X).
Discussion
Sepsis is a complex syndrome initiated by infection and is characterized by a systemic inflammatory response [
17]. The preponderance of research in sepsis has focused on dissecting roles of the immune cells, innate immune regulation, cytokines, and coagulation factors in response to varying infectious and inflammatory mediators [
11,
18]. This meta-analysis mainly focused on the associations between CD14-159C/T polymorphism and susceptibility to sepsis or sepsis-related mortality.
CD14 is a major component involved in the LPS receptor complex along with toll-like receptor 4, acting as a key factor in immune cell recognitions [
19]. The soluble form of CD14 is essential for TLR2 or TLR4 responses in monocytes, macrophages, neutrophils, and hepatocytes [
19‐
21]. Increased serum CD14 levels have been shown to correlate with shock and greater mortality in patients with gram-positive and gram-negative bacterial infections [
22]. Polymorphisms of CD14 have been widely studied in inflammatory bowel disease and results showed a varied susceptibility in different populations, indicating that genotype frequencies vary between the populations [
23,
24].
CD14-159C/T has been identified to correlate with CD14 serum levels [
25‐
27]. A mass of studies reported the associations between CD14 SNP and incidence of sepsis, or sepsis-related mortality [
10,
28]. However conclusions from different studies are controversial [
29,
30]. Thus, in the present study, we identified 15 genetic association studies and used meta-analysis with the genetic model to evaluate the association of CD14-159C/T polymorphism with sepsis.
On one hand, the study investigated relations between CD14-159C/T polymorphism and susceptibility to sepsis. In the total data set, the pooled analysis exhibited no significant association between the polymorphism and susceptibility. However, in the pooled analysis focusing on susceptibility, after omitting the most significant contributor of heterogeneity [
16], the results suggested that T allele and TT in additive model (CC versus TT) and dominant model (CC + CT versus TT) tend to be associated with increased susceptibility. Subgroup analysis among Asian population illustrated that the T allele and the CD14-159 TT genotype was related to susceptibility to sepsis. Results from sensitivity analysis confirmed this conclusion, and test of heterogeneity in this subgroup indicated a high constancy, indicating the steadiness of the finding. Studies verified that carriage of the T allele is associated with an increased risk for developing severe sepsis after major trauma and severe burns [
31,
32]. The potential explanation for this is that the CD14-159 TT genotype reduces the promoter activity of CD14, resulting in decreased TLR2/4 downstream signaling [
33]. However, interpretation of this result should be taken with precaution since the sample size of the Asian subgroup was relatively small, involving only 654 subjects, and the strength of this finding was therefore attenuated. On the other hand, the study evaluated the associations between CD14 polymorphism and sepsis-related mortality. As our study revealed, CD14 polymorphism was proved irrelevant to sepsis-related mortality in total population. Although data among Asian population reached statistical significance, the significance disappeared in subsequent sensitive analysis upon the removal of the study by Shimada et al., which counted for the largest sample size, indicating that the significance was derived from bias rather than the accumulative effects of every study in the subgroup.
The study by Zhang et al. found, that the CD14-159C/T polymorphism may not be a significant susceptibility factor in the risk of sepsis and mortality. Furthermore, only weak associations were observed in Asian populations and septic shock patients, which is similar with our conclusion [
10]. Although both of us concentrated on the same topic, we still have some significant differences. First of all, different studies were included in the current analysis. In our manuscript, we included 15 papers while 17 papers were included in Zhang’s paper. In Zhang’s paper, the latest research was done in June 2012 whereas our study retrieved publications till up to September 2016 and the latest include d article was published in 2013. In addition, we excluded the paper that did not fit for the Hardy-Weinberg equilibrium while two reports deviated from HWE were finally included in the 17 papers in Zhang’s paper [
10]. Secondly, in Zhang’s paper, they used three out of five genetic models to evaluate the association while in our manuscript we used all five genetic models. Thus, our study adds relevant information to the influence of this genetic variant on the outcome of sepsis. Finally, comparing the reports included in Zhang’s paper and our study, the current study included five additional papers in which four were conducted in burn ICU [
28,
32,
34,
35]. This difference may lead to the discrepancy in our results. Therefore a subgroup analysis regarding to burn ICU was conducted. As a result, marginal difference was observed in additive model and recessive model. Burn ICU has several features, including disordered systematic immunological function, increased vulnerability to wound infection [
36] and altered metabolic response [
37]. These features may interact with the underlying mechanism in the pathogenesis of sepsis in general ICU and Burn ICU. Therefore our result may be more suitable in burn patients. However, a comprehensive understanding of the mechanism still calls for further clinical, preclinical and basic scientific studies.
Still there are several limitations in the present study. First and foremost comes the small sample size and lack of patient-level details of some studies included in the meta-analysis. Genetic association studies, as a branch of etiology, are undoubtedly an innovative strategy to explore the latent cause of certain diseases. Yet despite the rapid advance in the recent decades, when compared to classical observational epidemiologic studies, genetic association studies are still relatively rare and the sample size are generally small, which may partially attribute to a relatively higher requirement of technicians and facilities. In the case of our analysis, studies reporting blind genotyping and adjustment for confounders were few. In addition, we excluded papers whose genotype deviated from Hardy-Weinberg equilibrium and statistically assessing publication bias. Second, this study focused only on the CD14 polymorphism regardless of the likelihood that other genetic variations may also influence sepsis risk and mortality [
38]. Besides, diverse study populations were included in our study, and different treatment for sepsis was used in different studies, thus contributing to differences in patients’ outcome from sepsis. Many studies had potential biases that influenced the patient prognosis. A number of papers selected involved burn and trauma patients [
28,
34]. Although subgroup analysis was employed in this study to minimize the bias derived from ethnicity, and the heterogeneity in the Asian subgroup seemed statistically insignificant, interpretation of the results from the total and Caucasian populations still calls for precaution. Thirdly, the current study is an exploratory study without correction for multiple testing. The study is aimed to generate a hypothesis by means of meta-analysis rather than to test or confirm it. The aim of our meta-analysis was to generate a hypothesis rather than to test or confirm it. In this setting, multiple testing is not preferred. Therefore, our findings should be interpreted with precaution. Finally both community-acquired and nosocomial sepsis were included resulting in a heterogeneity.
Acknowledgements
We want to express our sincere thanks to Dr. Jie Wu for her help in this study.