Markers of Chronic Inflammation in Overweight and Obese Individuals and the Role of Gender: A Cross-Sectional Study of a Large Cohort.

OBJECTIVE: During the last decade, obesity has become an epidemic. As obesity is now considered a state of low-grade inflammation, the purpose of this study was to assess the prevalence of four common elements of inflammation, in individuals with increased BMI. These findings were compared to those of subjects with normal BMI. The effect of gender was also noted.
METHODS: Data were collected from medical records of individuals examined at a screening center in Israel between the years 2000-2014. Cross-sectional analysis was carried out on 7526 men and 3219 women. White blood cell count (WBC); platelet (PLT) count; erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) were assessed in four BMI categories: normal, overweight, obese and morbidly obese.
RESULTS: Mean (SD) age of the study sample was 47.5 (9.7) and 46.7 (9.8) years for men and women, respectively. The prevalence of each inflammatory marker increased significantly when comparing abnormal to normal BMI (p<0.0001). The odds ratio (OR) of the prevalence of increased inflammatory markers was compared between subjects with overweight, obese and morbid obesity and subjects with normal BMI. This study showed that the higher the BMI, the higher the OR. For those in the morbid obesity group, the OR for the different inflammatory markers adjusting for age, diabetes mellitus hypertension and kidney function were as follows: WBC levels, 5.1 (2.9-8.7) and 4.7 (2.4-9.1) for men and women, respectively; PLT levels, 1.7 (0.3-8.5) and 2.0 (0.6-7.2) for men and women, respectively; ESR levels, 4.2 (3.2-5.4) and 4.6 (3.2-6.6) for men and women, respectively, and CRP levels, 13.4 (10.0-18.2) and 19.2 (12.9-28.6) for men and women, respectively.
CONCLUSION: Inflammatory markers are significantly higher in subjects with abnormal compared to normal BMI. This difference was found to be greater in women than in men.

Introduction

Overweight and obesity have become global epidemics. The latest estimates in the USA are that approximately 68% of adults are either overweight or obese, with 34% being obese.1 Several acute phase reactants such as fibrinogen, CRP, complement, serum amyloid A and haptoglobin2 are produced by the liver and regulated by cytokines including IL-6 and TNF-alpha.3–5 These pro-inflammatory cytokines can be found in healthy obese subjects.6–8 Interestingly, recent studies have shown that bariatric surgery decreases the levels of many of the inflammatory factors.9,10

The relationship between inflammatory markers and obesity may be influenced by gender. This is attributed to different fat disposition among men and women and to the influence of sex hormones.11

Several other commonly used laboratory tests may be associated with the state of inflammation. These tests include the levels of white blood cells (WBC), platelets, erythrocyte sedimentation rate (ESR) and C reactive protein (CRP). Indeed, several studies have correlated obesity and these inflammatory markers; this has been shown for WBC,12 platelet count,13 ESR14 and CRP.15–17 Most of these studies, however, included a relatively small number of obese subjects and did not assess the correlation of inflammatory markers for the overweight subgroup. Nor has the effect of gender on this correlation, been clear. We, therefore, aimed to assess the correlation between levels of WBC, platelet count, ESR and CRP with three stages of abnormal BMI, i.e., overweight, obesity and morbid obesity. This was investigated separately for men and women, using data from a large cohort of subjects attending a screening center.

Methods

Study Population

The study population was taken from a medical screening clinic of people routinely referred by their workplace to a tertiary medical center in central Israel, from 2000 until 2014. Thus, the study sample was cross-sectional. It was ambulatory, and made up of men and (non-pregnant) women between the ages of 20 and 80 years. The screening began with a detailed medical history. A comprehensive physical examination was followed by a range of blood and urine tests; blood tests were carried out after fasting overnight for 12 hours. In addition, each participant had a chest X ray, an electrocardiogram, an exercise stress test, and underwent a respiratory function test, as well as a full ophthalmology examination. Data from each person’s latest appointment was used in the study. Information on smoking habits was recorded on the day of examination by direct questioning.

WBC and platelet count were performed on ADVIA 120 coulter and on ADVIA 2120 coulter manufactured by SIEMENS®, since 2015; the method used was flow cytometry. The ESR levels were assessed by the Wintrobe method using EDTA anticoagulated blood. High sensitive method for measuring CRP was used using the Beckman coulter OLYMPUS AU 2700 analyzer.

Subjects who smoked, and those on corticosteroid treatment were excluded from the analysis, as well as subjects with hemoglobin levels less than 10gr/dl.

The BMI categories were divided into four groups: Normal = 18.5 - <25 kg/m2; overweight = 25–29.9 kg/m2; obesity = 30 - <35 kg/m2 and morbid obesity = ≥ 35 kg/m2. Abnormal levels of the four inflammatory markers were defined as follows: WBC above 10,000 per cubic millimeter; PLT above 400,000 per cubic millimeter; ESR above 15 mm for men and above 20 mm for women at the first hour, and CRP above 0.5 mg/dl.

Data collected from each visit was entered into a spreadsheet created in Excel for the purpose of the study. This computer program was also used to carry out statistical analysis of the data. The identifying numbers of all those taking part were coded ahead of the analysis. As the data were anonymized, the Helsinki Ethics Committee of Rabin Medical Center, Israel gave their approval for the study with no need for informed consent from participants.

Statistical Analysis

Baseline characteristics were compared between men and women using Student’s t-test and chi-square test for continuous and categorical variables, respectively. The odds ratios (ORs) and 95% CI comparing subjects with either overweight, or obesity or morbid obesity, to subjects with normal BMI as to four inflammatory markers were assessed by using a logistic regression method. Univariate analyses were performed in Model 1. Model 2 was adjusted for age alone; and Model 3 was adjusted for age, diabetes mellitus, hypertension and kidney function.

For all analyses, a p-value of <0.05 was considered significant. All analyses were performed using SAS v. 9.4.

Results

The cross-sectional analysis included 10,745 subjects, 7526 men and 3219 women (30%). The clinical and laboratory characteristics of the participants, according to gender, are presented in Table 1. Women in this sample were slightly older than men and had more favorable clinical and laboratory results compared to men. As for the inflammatory markers, WBC levels were similar for both sexes but all other inflammatory markers were found to be significantly higher in women.

Table 1

Patients Characteristics by Gender

	Men N= 7526	Women N= 3219	P value
Age (years), mean (SD)	47.5 (9.7)	46.7 (9.8)	<0.001
BMI (kg/m2), mean (SD)	27.2 (3.9)	25.5 (4.7)	<0.001
Waist circumference (cm), mean (SD)	92.8 (11.1)	79.8 (10.9)	<0.001
Systolic BP (mmHg), mean (SD)	120.9 (13.1)	112.4 (13.6)	<0.001
Diastolic BP (mmHg), mean (SD)	78.8 (7.5)	73.8 (8.0)	<0.001
Hypertension (%)	13.8	6.2	<0.001
Hyperuricemia (%)	16.4	3.8	<0.001
eGFR (CKD-EPI) mL/min/1.73 m2, mean (SD)	95.7 (13.9)	101.0 (13.8)	<0.001
Serum glucose concentration (mg/dl), mean (SD)	99.8 (16.2)	94.2 (12.2)	<0.001
Diabetes Mellitus (%)	4.4	2.5	<0.001
WBC (103 per cubic mm) mean (SD)	6.5 (1.5)	6.5 (1.6)	0.243
PLT (103 per cubic mm) mean (SD)	218.5 (51.0)	244.7 (60.2)	<0.001
ESR (mm/hour) mean (SD)	8.6 (2.0)	11.8 (2.0)	<0.001
CRP (mg/dl) mean (SD)	0.26 (0.42)	0.31 (0.48)	<0.001
Total Cholesterol (mg/dl), mean (SD)	191.3 (35.0)	195.4 (37.2)	<0.001
Triglycerides (mg/dl), mean (SD)	130.2 (75.2)	102.5 (67.1)	<0.001
LDL cholesterol (mg/dl), mean (SD)	117.6 (30.0)	114.3 (30.0)	<0.001
HDL cholesterol (mg/dl), mean (SD)	48.2 (10.2)	60.7 (13.5)	<0.001
Dyslipidemia (%)	52.2	55.0	0.003
Metabolic syndrome (%)	17.5	10.2	<0.001

Table 2 shows data of mean levels of the different inflammatory markers in each BMI category. It can clearly be seen that as the BMI increases so do the levels of inflammatory markers. This was found to be true for both men and women.

Table 2

Inflammation Factors and Body Mass Index Category

Inflammation Factors	Gender	Body Mass Index Category (kg/m2)
		18.5–<25	25–<30	30–<35	≥35
	Men	2291	3753	1166	316
	Women	1782	960	339	138
WBC (103 per cubic mm) mean (SD)	Men	6.2 (1.4)	6.5 (1.4)a	7.0 (1.5)a	7.6 (1.7)a
	Women	6.3 (1.5)	6.6 (1.6)a	7.0 (1.7)a	7.5 (1.8)a
Thrombocytes (103 per cubic mm) mean (SD)	Men	213.8 (50.1)	217.9 (50.2)c	225.3 (51.9)a	233.9 (56.7)b
	Women	240.3 (57.7)	243.5 (60.3)d	264.7 (66.7)a	261.0 (62.8)b
ESR (mm/hour) mean (SD)	Men	10 (8)	11 (8)a	14 (10)a	18 (12)a
	Women	18 (10)	22 (12)a	25 (13)a	31 (16)a
CRP (mg/dl) mean (SD)	Men	0.2 (0.4)	0.2 (0.3)a	0.4 (0.4)a	0.7 (1.0)a
	Women	0.2 (0.4)	0.3 (0.4))a	0.5 (0.7)a	0.9 (0.7)a

Notes: P value comparing the overweight, obesity and morbid obesity group to the normal BMI group. ap< 0.0001; bp < 0.001; cp < 0.01; dnot significant.

Tables 3 and 4 represent the OR of the prevalence of increased inflammatory markers; it compares subjects who are overweight, obese and morbidly obese to subjects with normal BMI, for men and women, respectively. The data are presented as a crude OR comparison as well as for OR adjusted for age (Model 1) and for age, diabetes mellitus, hypertension and eGFR (Model 2).

Table 3

Men’s Odds Ratio Comparing the Prevalence of Increased Inflammatory Marker Between Subjects with Overweight, Obese and Morbid Obesity and Subjects with Normal BMI

Inflammation Factors	Body Mass Index Category (kg/m2)
	25–<30	30–<35	≥35
WBC > 10 (103 per cubic mm)
Crude	1.2 (0.8–1.9)	1.9 (1.2–3.0)	6.3 (3.8–10.5)
Model 1	1.3 (0.9–1.9)	2.0 (1.2–3.2)	6.6 (3.9–10.8)
Model 2	1.3 (0.8–1.9)	1.8 (1.1–2.9)	5.1 (2.9–8.7)
Thrombocytes > 400 (103 per cubic mm)
Crude	1.1 (0.4–2.6)	1.7 (0.6–5.0)	2.1 (0.4–10.1)
Model 1	0.9 (0.4–2.4)	1.4 (0.5–4.3)	1.8 (0.4–8.9)
Model 2	0.9 (0.4–2.4)	1.4 (0.4–4.2)	1.7 (0.3–8.5)
ESR >15 (mm/hour)
Crude	1.5 (1.3–1.7)	2.7 (2.3–3.2)	5.0 (3.9–6.4)
Model 1	1.3 (1.2–1.5)	2.3 (2.0–2.7)	4.6 (3.6–5.9)
Model 2	1.3 (1.2–1.5)	2.3 (2.0–2.7)	4.2 (3.2–5.4)
CRP > 0.5 mg/dl
Crude	1.8 (1.5–2.2)	4.0 (3.2–5.1)	13.4 (10.1–17.9)
Model 1	1.9 (1.5–2.4)	4.4 (3.4–5.5)	14.3 (10.8–19.2)
Model 2	1.9 (1.5–2.4)	4.3 (3.4–5.5)	13.4 (10.0–18.2)

Table 4

Women’s Odds Ratio Comparing the Prevalence of Increased Inflammatory Marker Between Subjects with Overweight, Obese and Morbid Obesity and Subjects with Normal BMI

Inflammation Factors	Body Mass Index Category (kg/m2)
	25–<30	30–<35	≥35
WBC > 10 (103 per cubic mm)
Crude	1.6 (1.0–2.5)	2.6 (1.5–4.5)	4.7 (2.5–8.8)
Model 1	1.8 (1.1–2.8)	3.0 (1.7–5.3)	5.3 (2.8–10.1)
Model 2	1.8 (1.1–2.8)	2.8 (1.6–5.0)	4.7 (2.4–9.1)
Thrombocytes > 400 (103 per cubic mm)
Crude	1.5 (0.8–2.9)	3.7 (1.8–7.6)	2.1 (0.6–7.1)
Model 1	1.6 (0.8–3.1)	4.0 (1.9–8.3)	2.2 (0.6–7.6)
Model 2	1.5 (0.8–3.0)	3.9 (1.8–8.2)	2.0 (0.6–7.2)
ESR >20 (mm/hour)
Crude	1.9 (1.6–2.2)	2.8 (2.2–3.5)	8.8 (3.4–7.0)
Model 1	1.8 (1.5–2.1)	2.6 (2.0–3.3)	4.6 (3.2–6.6)
Model 2	1.8 (1.5–2.1)	2.6 (2.0–3.3)	4.6 (3.2–6.6)
CRP > 0.5 mg/dl
Crude	2.1 (1.6–2.6)	4.9 (3.7–6.5)	16.4 (11.3–24.1)
Model 1	1.9 (1.5–2.4)	4.4 (3.4–5.5)	14.4 (10.7–19.2)
Model 2	2.3 (1.9–3.0)	5.9 (4.4–7.9)	19.2 (12.9–28.6)

In men; OR for elevated levels of WBC was found to be significant in obese and morbidly obese subjects, compared to subjects with normal BMI; OR for elevated platelet levels, however, was not found to be significant in all the above normal BMI groups, compared to subjects with normal BMI. The OR of increased ESR was only found to be statistically significant in the group with morbid obesity compared to those with normal BMI. The OR of increased CRP was found to be significant for all groups of increased BMI, compared to subjects with normal BMI.

In women; OR for elevated levels of WBC was found to be significant in all groups of increased BMI, compared to subjects with normal BMI; while OR for elevated platelet levels was only found to be significant in the obese group, compared to subjects with normal BMI. The OR of increased ESR, and increased CRP, was found to be significant in all groups of increased BMI, compared to subjects with normal BMI.

As for gender differences for inflammatory markers, as can be seen from Table 1 for women, all parameters of inflammation were found to be significantly higher than in men, apart from WBC average levels. In addition, the percentage of elevated inflammatory markers was significantly higher in women. These differences remained after adjusting for age, diabetes mellitus, hypertension and eGFR (p<0.0003). Lastly, in the group with BMI ≥ 30 all parameters of inflammation were found to be significantly higher in women, apart from the levels of WBC (Table 5).

Table 5

Gender Comparison of Inflammation Factors in Subjects with BMI ≥ 30 kg/m2

Inflammation Factors	Men N = 1482	Women N = 477	P value
WBC (103 per cubic mm) mean (SD)	7.1 (1.5)	7.1 (1.8)	0.915
Thrombocytes (103 per cubic mm) mean (SD)	227.1 (53.0)	263.7 (65.5)	<0.001
ESR (mm at the first hour) mean (SD)	15 (10)	27 (15)	<0.001
CRP (mg/dl) mean (SD)	0.4 (0.6)	0.6 (0.7)	<0.001

Discussion

In this large cohort, of 10,745 subjects attending a screening center for routine annual examination, we show the results of four simple laboratory tests of markers of inflammation, i.e., levels of WBC, platelets, ESR and CRP. These were found to increase as BMI increases. This was found to be true for all four tests but was most prominent in relation to the CRP inflammatory marker. Unsurprisingly, this correlation was greatest in the group with morbid obesity. Gender differences were found to favor men.

As mentioned, in the methods and statistical analysis section, there are factors that may affect the levels of inflammatory markers independent of obesity. Therefore, the following subjects were excluded: those who had a history of smoking, on prescribed corticosteroids or with anemia. As diabetes mellitus,18 hypertension19 and decreased kidney function20 are related to increased levels of inflammation, the regression analysis included these three conditions as well as in addition to age adjustment.

How might obesity lead to inflammation? In a review article, Hernandez et al21 observe that chronic diseases are characterized by increased levels of acute-phase reactants such as fibrinogen, CRP, complement, serum amyloid A and haptoglobin.2 These reactants are produced by the liver and are regulated by cytokines including IL-6 and TNF-alpha.3–5 Adipocytes express and secrete TNF-alpha, which may account for the relationship between obesity and inflammation.22 Another pro-inflammatory cytokine synthesized by adipose tissue is IL-6, and the CRP produced in the liver is largely a response to IL-6 stimuli.23 Indeed, in recent years it has been shown that in healthy obese subjects there are increasing levels of pro-inflammatory cytokines such as IL- 6 and TNF alpha and as a result, high levels of acute-phase reactants such as CRP and haptoglobin.6–8 Moreover, weight loss through diet is associated with reduction in circulating levels of IL-6, TNF alpha and CRP.24,25 Similar results have been found in subjects after gastric bypass surgery.9,10

Why do obese women have higher levels of inflammatory markers compared to men? Several theoretical explanations may be offered.11 Women have more subcutaneous fat compared to men, who have fat localized to the intra-abdominal deposits. This may account for the different levels of inflammation between sexes. Secondly, sex hormones affect the circulating levels of inflammatory proteins; certainly postmenopausal hormonal replacement treatment has been shown to be associated with increase CRP concentrations.26,27 Another possible explanation for gender differences regarding CRP is the relationship between leptin levels and CRP.28 Previous studies have reported higher levels of CRP and leptin in women compared to men.29

Do our results shed new light on what is known in the literature? The effect of leukocytosis in obese individuals was assessed by Herishanu et al.12 They evaluated 327 patients who were referred to a hematology clinic for the further investigation of persistent leukocytosis. Fifty patients, most of whom were women, were found to be obese with no other possible explanations for the leukocytosis. Follow-up at 45.6 months of these subjects did not show any new possible cause that could account leukocytosis other than obesity.

The level of platelets in relation to obesity has been investigated by Samocha-Bonet et al.13 In a study of 6319 subjects, they found that platelet count rose in relation to BMI, for both genders. Only among women, however, were the platelet counts found to be significantly elevated in the overweight, obese and morbidly obese subgroups. This was after adjustment for age, diabetes mellitus and hypertension. De Pergola et al30 were the first to show a strong positive and independent relationship between platelet count and HbA1C. This was shown in 240 non diabetic, overweight and obese subjects. In another paper, however, De Pergola et al31 showed carotid intima media thickness to be negatively correlated with platelet count. This was shown in 961 subjects, of whom 87.4% were either overweight or obese. They suggested that this inverse association may reflect a compensatory mechanism to protect against atherothrombotic diseases, at least in people with excessive fat.

Regarding ESR and BMI, three small studies have produced conflicting results. Pasulka et al32 screened 24 morbidly obese patients planned for gastric bypass surgery. They noticed that 11 out of 20 women, and 2 out of 4 men had ESR levels above upper limits of normal (20mm/h for women and 10mm/h for men). Seven patients had rates of 40 mm/r or more. None of the subjects had underlying inflammatory conditions. In another study, Leff et al33 compared 12 patients who were 45 kg over ideal weight to 13 patients with normal weight. None of the patients had any history of inflammatory process or significant anemia. The mean ESR in the obese group was 17mm/h, and was found to be significantly higher than that of the control group 4mm/h (p=0.015). Meanwhile, Richter et al34 assessed 31 obese persons (26 women) and compared them to 20 subjects of normal weight. The serum and hematological values were normal for both groups. Yet the ESR in the obese group was found to be 7.8 (5.3) mm/h, compared with 3.6 (3.1) mm/h in the group with normal weight. He concluded that obese persons who are healthy do not have ESR levels beyond the upper limit of normal.

Lastly, with regard to CRP and the effect of obesity, Coi et al15 performed a systematic review and meta-analysis of all cross-sectional studies relating to CRP and obesity. Out of over 4000 potential papers, 51 studies met their inclusion criteria. Overall, the Pearson coefficient between BMI and ln (CRP) was found to be strong 0.36 (95% CI= 0.30–0.42). Similarly, the Pearson coefficient between waist circumference and ln (CRP) was 0.40 (95% CI = 0.31–0.48). In addition, the association between CRP and BMI, in the meta-regression models performed, showed a stronger association in women compared to men.

The main strength of this study is the inclusion of a large cohort of 10,745 males and females with complete datasets of clinical and laboratory findings. Nevertheless, our study has its limitations. The study group was drawn from a clinical sample of subjects attending a screening center and this limits the generalizability of the findings. In our study, we found a relationship between inflammatory markers and BMI. As fat distribution seems to be more important than BMI, it might have been more appropriate to assess the relationship of inflammatory markers to an anthropometric parameter such as neck circumference, or waist to height ratio. Lastly, data on the percentage of subjects on medication was not included in the results.

In summary, in this large cohort we clearly show four routine markers of inflammation to be correlated with BMI. This was especially found to be true in the morbidly obese group. Gender differences were found in favor of men. The general practitioner or physician should not be surprised by the lab results of a morbidly obese man or woman with abnormally high levels of inflammatory markers. Clinicians should exercise careful judgment before deciding on further investigations that might be unnecessary and costly.