Both low birth weight, an indicator of intrauterine growth restriction, and low grade systemic inflammation depicted by high sensitivity C-reactive protein (hs-CRP) have emerged as independent predictors of cardiovascular (CV) disease and type 2 diabetes. However, information linking low birth weight and hs-CRP in a biracial (black/white) population is scant. We assessed a cohort of 776 black and white subjects (28% black, 43% male) aged 24-43 years (mean 36.1 years) enrolled in the Bogalusa Heart Study with regard to birth weight and gestational age data were retrieved from Louisiana State Public Health Office.
Findings
Black subjects had significantly lower birth weight than white subjects (3.145 kg vs 3.441 kg, p < 0.0001) and higher hs-CRP level (3.29 mg/L vs 2.57 mg/L, p = 0.011). After adjusting for sex, age, body mass index (BMI), smoking status and race (for total sample), the hs-CRP level decreased across quartiles of increasing birth weight in white subjects (p = 0.001) and the combined sample (p = 0.002). Adjusting for sex, age, BMI, smoking status and race for the total sample in a multivariate regression model, low birth weight was retained as an independent predictor variable for higher hs-CRP levels in white subjects (p = 0.004) and the total sample (p = 0.007). Conversely, the area under the receiver operative curve (c statistic) analysis adjusted for race, sex, age, smoking status and BMI yielded a value of 0.777 with regard to the discriminating value of hs-CRP for predicting low birth weight.
Conclusions
The deleterious effect of low birth weight on systemic inflammation depicted by the hs-CRP levels in asymptomatic younger adults may potentially link fetal growth retardation, CV disease and diabetes, with important health implications.
Background
The growth of an undernourished fetus results in adaptive fetal programming or metabolic imprinting, with permanent changes in structure, metabolism and physiology of fetal organs and related pathophysiologic consequences in later life [1, 2]. Studies worldwide, regardless of socio-economic background, have linked low birth weight to cardiometabolic risk factors, related cardiovascular (CV) disease, and type 2 diabetes [3, 4]. Recently, we reported the adverse relationship of low birth weight to white blood cell count and pulsatile arterial function [5, 6].
Inflammation plays an important role in the pathogenesis of atherosclerosis [7–9]. Risk factors, e.g. cigarette smoking, hypertension, dyslipidemia and hyperglycemia promote inflammation, are well established. Biomarkers, including as oxidized low-density lipoproteins, interleukin-6, intercellular adhesion molecule-1 and high sensitivity C-reactive protein (hs-CRP, reflect the ongoing inflammatory process [8]. Of these, hs-CRP - an acute-phase reactant secreted by the liver - has emerged as an independent predictor of CV disease and type 2 diabetes [8–13]. In terms of birth weight, a few studies have demonstrated an inverse association between birth weight and hs-CRP in children and adults [14–16]. Consequently, the American Heart Association and Center for Disease Control recommended guidelines for the incorporation of hs-CRP into its CV disease risk stratification [8]. However, population-based data in this regard are scant. The present study examines this aspect in younger adults enrolled in the Bogalusa Heart Study, a biracial (35% black/65% white) community-based investigation of the natural history of CV disease
Materials and methods
Study Population
The study sample was derived from a cohort of 1203 subjects aged 23 to 43 examined as a part of a longitudinal follow-up survey. Of these, information on 908 singletons with hs-CRP measurement, birth weight, gestational age and body mass index (BMI) data were available. The exclusion of 132 singletons born premature (<37 weeks of gestation) and/or had conditions (with or without medication) of diabetes, hypertension and dyslipidemia left 776 eligible participants (28% black, 43% male, mean age 36.1 years). Birth weight and gestational age data were retrieved from Louisiana State Public Health Office. Tulane University Medical Center Institutional Review Board approved the study, and informed consent was obtained from all participants.
Measurements
Standardized techniques and protocols were used by trained examiners. Height and weight were measured twice and the mean values were used to calculate BMI as a measure of adiposity. Information on smoking status was obtained by questionnaires. Those who had smoked at least one cigarette per week during the past one year or more were identified as current smokers, and the remainder as non-smokers. Plasma high sensitivity hs-CRP levels were measured by latex particle-enhanced immunoturbidemetric assay on a Hitachi 902 Automatic Analyzer (Roche Diagnostics, Indianapolis, IN, USA). The reproducibility of hs-CRP measurement checked with 10% of randomly assigned pairs of blind duplicate analysis, which gave an intraclass correlation coefficient of 0.99.
Statistical Methods
Statistical analyses were done with SAS software, version 9.1 (SAS, Carey, NC). As the hs-CRP level was not normally distributed, log transformation was used to approach normality. Analyses were performed where appropriate on transformed data. Analysis of variance for race difference in mean values of continuous variables and chi-square test for categorical variables were used. Because of a strong association between gestational age and birth weight, the latter was adjusted by regression analysis models to the mean values of the former in each race-sex group. For categorical analysis, quartiles of gestational age-adjusted birth weight were defined by using cut-off points in race-sex groups. Covariates adjusted mean values of hs-CRP were calculated by general linear models and used for analysis of birth weight by quartiles. Multiple regression analysis was used to determine the independent association of birth weight with hs-CRP in relation to the measured covariates. Two steps were followed in the regression model: the logarithm of hs-CRP was used in both cases as a dependent variable to determine the association between birth weight and hs-CRP. Model 1 was adjusted for age, sex, smoking and race (for the total sample) and the model 2 was adjusted for the above variables along with the potential confounding variable, BMI. In addition, a multivariate c-statistic model was used to determine the ability of hs-CRP to predict low birth weight (defined as <2500 gm). The area under the receiver-operating characteristic curve (c-statistic) was evaluated after adjusting for the covariates race, sex, age, smoking status and BMI. C-statistic of >0.5 indicated increased predictive ability.
Results
Table 1 shows the mean values of hs-CRP, birth weight, and other study variables of younger adults by race. Black subjects had significantly lower gestational age and birth weight, but higher BMI and hs-CRP levels, than white subjects.
Table 1
Birth Weight, hs-CRP and other study variables of young adults by race
White
(n = 559)
Black
(n = 217)
p-valueb
Age (year)a
36.3 (4.3)
35.8 (4.7)
0.200
Males/Females (%)
46/54
35/65
-------
BMI (kg/m2)a
28.3 (6.3)
30.5 (7.8)
<0.0001
Gestational age (week)a
40.1 (1.2)
39.8 (1.0)
0.001
Birth weight (kg)a
3.441 (0.48)
3.154 (0.47)
<0.0001
hs-CRP (mg/L)a
2.57 (3.1)
3.29 (3.5)
0.011
Smoker (%)
44.1
40.3
0.327
a Mean (SD)
b p value for race difference
Figure 1 illustrates the relation of covariates-adjusted mean levels of hs-CRP to race- and sex-specific quartiles of gestational age-adjusted birth weight. The covariates included race (for the total sample), sex, age, BMI and smoking status. The hs-CRP level significantly decreased with increasing quartiles of birth weight among white subjects (p = 0.001) and the total sample (p = 0.002). Black subjects showed no such significant trend.
Figure 1
Covariates-adjusted mean values of hs-CRP by race and sex-specific quartiles of gestational age-adjusted birth weight: The Bogalusa Heart Study. Quartile I represents the lowest birth weight, and quartile IV represents the highest birth weight. Covariates included race (for the total sample), sex, age, body mass index and smoking status.
Table 2 presents the multivariate linear regression analysis of hs-CRP on gestational age-adjusted birth weight and other covariates in white subjects, black subjects and the total sample. Birth weight was independently and inversely associated with hs-CRP in white subjects in models without or with BMI as a covariate. In the total sample, such independent inverse association was noted only in model 2 that included BMI as a covariate. Also, sex (females > males), BMI (positive association), and smoking (positive association) were independently correlated with hs-CRP in white subjects and the total sample in model 2.
Table 2
Predictors of hs-CRP in young adults by race.
White
Black
All
ß
p-value
ß
p-value
ß
p-value
Model 1
Black race
----
------
------
------
0.18
0.08
Age (year)
-0.0005
0.97
0.03
0.10
0.008
0.41
Female sex
0.42
<0.0001
0.38
0.04
0.41
<0.0001
Smoking (yes)
0.15
0.14
-0.35
0.05
0.01
0.87
Birth weight (kg)a
-0.22
0.05
0.03
0.67
-0.14
0.13
Model 2
Black race
----
----
-----
-----
-0.01
0.90
Age (year)
0.01
0.26
0.02
0.25
0.01
0.15
Female sex
0.50
<0.0001
0.26
0.12
0.43
<0.0001
Smoking (yes)
Birth weight (kg)a
0.30
-0.28
0.002
0.004
-0.12
-0.13
0.48
0.47
0.19
-0.23
0.02
0.007
BMI (kg/m2)
0.08
<0.0001
0.07
<0.0001
0.08
<0.0001
The Bogalusa Heart Study.
a Gestational age-adjusted birth weight
Figure 2 shows the discriminative value of hs-CRP for associating with low birth weight, after adjusting for race, sex, age, smoking status and BMI. The c-value for hs-CRP was 0.777.
Figure 2
The area under the receiver-operating curve of hs-CRP for predicting low birth weight, adjusted for race, sex, age, smoking status and body mass index. The c-statistic was 0.777.
Discussion
This community-based study demonstrates an inverse and independent association between birth weight and hs-CRP, a widely used biomarker of systemic inflammation. In addition, female sex, BMI and smoking were independent adverse correlates of hs-CRP. It is noteworthy that these findings support the emerging concept of intrauterine imprinting and its pathophysiologic consequences later in life by linking low birth weight to excess hs-CRP [1, 2].
Although previous study in children has failed to find significant association between birth weight and hs-CRP [16], our epidemiologic study is consistent with the MIDSPAN family study and Northern Finland 1966 birth cohort study in adults [14, 15]. However, this inverse relationship was not observed in black subjects in our analysis. Of note, black subjects had significantly lower birth weights and related higher hs-CRP levels than white subjects [17, 18].
Although observational studies like this cannot address the issue of causality, several putative mechanisms might link low birth weight to underlying perturbation in inflammatory pathways in utero. Undernutrition in utero causes permanent impairment in growth, structure, and function of muscle [19, 20], fat [21, 22], liver [23] and renal nephrons [9, 24] inter alia due to adaptive programming, resulting in cardiometabolic syndrome and related disorders in later life [3, 25]. Interestingly, in utero muscle growth is retarded in low-birth weight babies [25]; and since there is little muscle cell replication after birth [26], these individuals will develop a disproportionately high fat mass and related state of chronic low-grade inflammation induced by adipose tissue cells including monocytes in a nutritionally-rich environment of postnatal life [25, 27]. Acute-phase reactants secreted by the liver, including hs-CRP, are upregulated by interleukin-6, a proinflammatory cytokine synthesized by adipose tissue and cleared mainly by the kidneys. Hence, adaptive programming of any of these tissues may result in heightened inflammatory states later in life. Of note, Barker et al. [28] demonstrated an inverse relationship between birth weight and acute-phase reactant fibrinogen in adults. Furthermore, studies including our own have shown an inverse relationship between birth weight and the number of circulating leukocytes [5, 29], the cellular effectors of inflammation. However, a caveat relating to causality, is that the observed elevation in hs-CRP levels among low birth weight adults may be a reverse causation phenomenon secondary to underlying excess atherosclerosis [30, 31].
As in previous studies [18, 32], obesity measured as BMI has been identified as an independent correlate of hs-CRP in our cohort. As discussed above, this is consistent with the pathophysiological role of adipose tissue in regulating inflammation. Furthermore, sex, but not race, was retained as an independent correlate of hs-CRP in our subjects. The excess in hs-CRP in females, also noted in previous study [18], may be due to an estrogen effect [33]. Based on exogenous estrogen administration studies in women, this hormone has been implicated in the transcriptional control, clearance, or cytokine regulation of several acute-phase reactants produced by the liver, including hs-CRP [34], but the role of endogenous estrogen in this regard is unknown. The current observations on white and total subjects also support the known adverse influence of smoking behavior on hs-CRP levels [35]. The lack of adverse effect of smoking among black subjects may be due to differences in intensity and duration of smoking.
In conclusion, low birth weight for gestational age is characterized by increased hs-CRP levels. In conjunction with earlier studies, these findings support the view that low birth weight, albeit a crude surrogate indicator of adaptive fetal programming, is a potential early risk factor for the emergence of disorders related to the activation of inflammatory pathways. As stated by Barker [1], primary prevention lies in protecting fetal development.
Abbreviations
hs-CRP:
high sensitivity C-reactive protein
BMI:
body mass index.
Declarations
Acknowledgements
Supported by grants 546145G1 from Tulane University, 0855082E from the American Heart Association, AG-16592 from the National Institute on Aging, HL-38844 from the National Heart, Lung and Blood Institute.
The authors have no conflict of interest.
The Bogalusa Heart Study is a joint effort of many individuals whose cooperation is gratefully acknowledged. We are especially grateful to the study participants.
Authors’ Affiliations
(1)
Department of Epidemiology and Biostatistics, Jackson State University
(2)
Tulane Center for Cardiovascular Health, Tulane University Health Sciences Center
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