Literature DB >> 28352710

Differences of plasma IL-1 and TNF-α in healthy Chinese Population.

Jintao Yuan1, Lan Wang2, Yijin Lin3, Jianhong Chen3, Jianghong Hu3.   

Abstract

Pleiotropic proinflammatory cytokines, interleukin- 1 (IL-1) and tumor necrosis factor-α (TNF-α), involved in the regulations of various immune responses, inflammatory processes and hematopoiesis. In the present study, the expression levels of IL-1 and TNF-α were detected by enzyme-linked immunosorbent assay (ELISA). Following the cytokine blockade as a successful clinical therapy for autoimmune diseases such as rheumatoid arthritis, the patients are more susceptible to a variety of opportunistic infections. IL-1 and TNF-α may be useful predictive biomarkers of diseases and offer potential targets for therapeutic intervention of inflammatory diseases. However, our results showed that the plasma IL-1 level was significantly higher in women compared to men (69.5 ± 19.8 pg/ml in men and 80.1 ± 19.5 pg/ml in women, respectively); the plasma levels of TNF-α were higher in men than women (20.8 ± 4.9 pg/ml and 18.7 ± 7.1 pg/ml, respectively). The significant gender difference of plasma interleukin-1 (IL-1) and TNF-α levels present in healthy adults in Jiangsu Province, China (P=0.002 and P=0.015, respectively), and may be as a hint for sex differences of susceptibility to many diseases and elementary immune response.

Entities:  

Keywords:  IL-1; Proinflammatory cytokine; TNF-α; gender difference

Year:  2015        PMID: 28352710      PMCID: PMC5152990          DOI: 10.1515/med-2015-0044

Source DB:  PubMed          Journal:  Open Med (Wars)


1 Introduction

Cytokines, with 8 to 40, 000 Da molecular weight, are a group of small soluble or membrane-bound precursor proteins or glycoprotein messenger molecules [1]. They could be divided into two categories, proinflammatory (e.g. IL-1, IL-6, TNF-α, TGF-β) and antiinflammatory (e.g. IL-1Ra, IL-4, IL-10, IL-13) cytokines. The balance between proinflammatory and antiinflammatory cytokines has been noticed in a number of diseases [2]. Interleukin-1 (IL-1) (including α and β subtype) is the prototypic multifunctional cytokine, its various biological role can be listed as endogenous pyrogen, leukocyte endogenous mediator, epidermal cell derived thymocyte activating factor and so on [3, 4]. The cell signaling pathways with IL-1 involved can regulate inflammation, angiogenesis, hematopoiesis and cognition [5, 6]. IL-1 and other analogous cytokines play a key role in cell growth, tissue repair and many acute or chronic inflammatory diseases [3, 7–12]. Tumour necrosis factor-α (TNF-α), secreted by macrophages, can make active responses to infection, inflammation and cancer [13]. It plays a major role in tissue inflammation [14] and remodeling [15] by stimulating the production of collagenase. Particularly, TNF-α can activate the production of other proinflammatory cytokines, up-regulate some transcription factors and promote keratinocytes proliferation, which may lead to pathological inflammation in several organs, such as skin and joints [16, 17]. IL-1β and TNF-α, as the well-known proinflammatory cytokines, could be treated as the mediators of shock [18-21], also present at high concentrations in bronchoalveolar lavage fluid of patients with sustained ARDS [20]. Studies have indicated that TNF-α and IL-1β can directly alter vascular tone [22] and increase microvascular permeabilities in endothelial monolayer [23-25]. Gender difference, as an important factor in many diseases, has become increasingly noticeable in recent years. Meanwhile, more and more clinical case reports were recorded with respect to gender difference in cytokine expression levels. The levels of IL-1β and IL-6 in colorectal cancer patients were significantly higher in men than in women. Followed by acute psychological stress, men showed a significant decrease in the production of IL-1β and IL-6 and TNF-α, whereas women displayed no change during this period. When infected with influenza virus, men had statistically significant higher specific secretion of TNF-α. However, few reports could be found about the possible gender difference in cytokine expression levels in healthy population. Therefore, we would like to take IL-1 and TNF-α for instance, exploring possible gender difference in cytokine levels in Chinese healthy adults. In this study, we enrolled 158 healthy young adults aged between 20 and 45 years old, employing ELISA approach to identify the plasma level of IL-1 and TNF-α in these volunteers. Relevant statistical analysis was carried out, with an expectation to find the possible gender difference in expression of these two proinflammatory cytokines.

2 Patients and methods

2.1 Ethics Statement

The present study protocol was approved by Danyang People’s Hospital’s Institutional Review Committee on Human Research. All healthy adult volunteers provided written informed consent before any study-related procedure was performed.

2.2 Study population

A total of 158 healthy individuals (70 females and 88 males) in Jiangsu Province, China were enrolled for our study. All subjects were young adult: the ages (20~45 years) between females and males were comparable. This study has been approved by Ethics Review Board of Danyang People’s Hospital and all volunteers have signed an informed consent form. Information on health status of all participants was obtained from the medical examination center of Danyang People’s Hospital of Jiangsu Province. No acute pathological condition and other inflammatory disorder was found in the subjects enrolled for the study. All subjects who had the history of chronic diseases, hormone sensitive diseases or autoimmune diseases were excluded from the present study.

2.3 Study design

We designed a population-based examination of gender difference of plasma pleiotropic proinflammatory cytokines in Chinese healthy adults, selected the subjects with appropriate gender proportion and age ranging from 20 to 45 year old. The concentrations of cytokine were determined in a total of 158 plasma samples from the study subjects. After reference to normal concentrations, more than 150pg/ml in IL-1 and 65pg/ml in TNF-α were excluded from the subjects respectively. Some additional subjects were also excluded from the study because of missing data for some of the analysis parameters. Therefore, the final study population size for the analysis was 144 and the mean ± SD age was 29.3 ± 0.5 years (64 females and 80 males, with mean ± SD ages being 29.4 ± 0.5 and 29.2 ± 0.8 years, respectively).

2.4 Plasma separated

The blood samples were taken in the non-fasting state before 7:30 a.m. and collected into ethylenediamine tetraacetic acid (EDTA)-anticoagulated tubes, then centrifuged immediately at 1500 rpm for 10min, with plasma and blood cells separated. The plasma was collected and stored at −70°C until analysis.

2.5 Quantification for plasma level of cytokines by enzyme-linked immunosorbent assay (ELISA)

158 plasma samples from subjects were available as described previously and were pre-stored at −20°C until the assay. Plasma levels of IL-1 and TNF-α were determined using a commercial ELISA kit (rat-anti human IL-1 and ratanti human TNF-α; Adilitteram Diagnostic Laboratories, Inc., USA) strictly according to the manufacturer’s instructions. The detection limit was 1pg/ml. All ELISA measurements were conducted in duplicate and the mean concentrations were calculated.

2.6 Statistical analysis

All data were showed as the mean±SD (Table 1). Normality was checked by Kolmogorov-Smimov test or Shapiro-Wilk test. In order to determine the correlation between variables, Spearman rank correlations were performed. We grouped the results of analysis on the basis of gender, compared the variables between men and women group used the independent-samples t test or Mann-Whiteny test to evaluate the mean difference.
Table 1

Descriptive data stratified by gender

Study population
Study parameters (Variable)Menn =80Womenn =64P value
Age(years)29.4±4.829.2±6.5NS
IL-1 (pg/ml)69.5±19.880.1±19.50.002a
TNF-α (pg/ml)20.8±4.918.7±7.10.015b

Plus-minus values are means±SD. For normally distributed variables, P values were computed with t-test (0.002a). For non-normally distributed variables, P values were computed with the Mann-Whiteny test (0.015b & NS). NS, P more than 0.05.

The SPSS for windows statistical package was used to perform all statistical evaluation (SPSS Inc., Chicago, IL, USA). The level of significance used for all of the above analysis was two tailed, P values less than 0.05.

3 Results

In our study, the term “baseline” is defined as the circulating levels of the cytokines in young subjects (the range from 20 to 45 years) at healthy status. The descriptive data stratified by gender are presented in Table 1 and 2, which can be intuitively understood in Figure 1. Specifically, the plasma levels of IL-1 displayed in Table 2 did not show any detectable age-associated trend (correlation coefficient r=−0.106, P=0.205) at the healthy status. However, the plasma levels of TNF-α showed the significant age-associated trend (correlation coefficient r=0.504, P less than 0.001). Baseline plasma levels of IL-1 (P=0.002) were significant higher among the young women than among young men. In contrast, the baseline plasma levels of TNF-α were lower among women group than among men group, and these difference was statistically significant (P=0.015). Those results can be shown in detail in Figure 2a and 2b. By the way, there is a negative correlation showed in Table 3 between IL-1 and TNF-α to all subjects (P=0.025). No significant correlation can be found between IL-1 and TNF-α at grouping levels (grouped by gender, men and women, respectively).
Table 2

The age-related trends of plasma cytokines levels in our study

nCorrelation coefficientStatistical significance
IL-1All subjects144−0.1060.205
Men80−0.1310.245
Women64−0.0170.895
TNF-αAll subjects1440.504<0.001*
Men800.573<0.001*
Women640.432<0.001*

Correlation between the age and plamsa levels of IL-1(upper part) and TNF-α(lower part) among all study subjects and groups stratified by gender, respectively. All P values were calculated by Spearman’s rank test. n, number of subjects.

the significant difference.

Figure 1

Matrix scatter show the correlation between age, IL-1 and TNF-α, respectively.

Figure 2a

Bar graph showed plasma levels of IL-1 (left) and TNF-α (right) of each gender, respectively. **P=0.002 VS men group for IL-1; *P=0.015 VS women group for TNF-α.

Figure 2b

Columnar scatter graph showed plasma levels of IL-1 (left) and TNF-α (right) of each gender, respectively. Round represent males and triangles represent females. Horizontal line represents the average of each group.

Table 3

The correlation between IL-1 and TNF-α in study subjects

nCorrelation coefficientStatistical significance
All subjects144−0.1870.025*
Men80−0.1480.190
Women64−0.1230.334

The negative correlation between IL-1 and TNF-α to all subjects (P=0.025). But, no significantly correlation between IL-1 and TNF-α at grouping levels (grouped by gender, men and women, respectively).

it’s significantly.

4 Discussion

The most important finding of the present study can be summarized in a word: there is a gender difference in plasma level of proinflammatory cytokine IL-1 and TNF-α in healthy adults in Jiangsu, China. Specifically, the plasma level of IL-1 is significantly higher in females than in males, in contrast, the plasma level of TNF-α is higher in men than in women. So far, most attentions have been focused on the gender difference of cytokine levels and disease susceptibility in patients or stimulated model animals. For instance, there was increasing evidence indicating that a gender difference exists in cytokine production in inflammatory responses. Males are associated with excessive IL-1β and IL-6 production and organ failures after traumatic injury [26]. In female mouse model of aortic aneurysm, reduced expressions of multiple chemokines and inflammatory cytokines finally results in smaller aneurysms [27]. In addition, women have been exhibited to produce significantly less IL-1β and TNF-α when stimulated with lipopolysaccharide [28, 29]. Women have also been shown to possess better immune functions in sepsis and even have a better prognosis than men [30]. Studies have also demonstrated that women have longer disease free period and overall survival after operations or treatments for colorectal cancer [31]. The reasons behind the gender difference of cytokine production are still unclear. However, the phenotype can be seen as an outcome from interactions between genotype and environmental factors. From this perspective, some phenomena could be attributed to polymorphism in cytokine genes. Childhood responses to vaccine are highly heritable and polymorphisms in genes of cytokine are associated with these responses [32, 33]. In some cases, external environmental factors play a key role in gender differences of cytokine productions. Many factors could be treated as the incentives of cytokine expression differences, such as burn injury [26], acute psychological stress [34] and cytomegalovirus infection [35]. In summary, the present study show that there is a gender difference in the production of IL-1 and TNF-α in healthy individuals of Jiangsu Province, China. It may reflect specific biological characteristics of both males and females. Further clinical relevance and what can be used from this finding in future clinical practice still need to be paid attention to and discussed. Gender difference of plasma cytokines levels may be significant to clinical medicine development, providing chances and challenges to clinical trials and drug applications, although the precise mechanisms responsible for these gender-dependent differences need further research.
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