Background: We hypothesize that racial differences in utero contribute to the racial disparity in prostate cancer risk. Leptin is a candidate for evaluating this hypothesis because it influences fetal development and newborn growth.

Methods: We measured leptin concentration by ELISA in venous cord blood collected from 70 African-American and 37 white male full-term babies. We measured sex steroid hormones and insulin-like growth factor (IGF) axis concentrations previously. Separately by race, we calculated the geometric mean leptin concentration and estimated the geometric mean adjusted for birth and placental weights, mother's age and parity, time of day and season of birth, and sex steroid hormone and IGF axis concentrations by linear regression.

Results: Leptin was positively correlated with birth (r = 0.34) and placental (r = 0.25) weights, IGF-1 (r = 0.21), and IGF binding protein-3 (r = 0.29) adjusting for race. Unadjusted geometric mean leptin did not differ (P = 0.92) between African Americans (5,280 pg/mL; 95% CI: 4,322–6,451) and whites (5,187 pg/mL; 95% CI: 3,938–6,832). Adjusted geometric mean leptin was nonstatistically significantly higher (P = 0.15) in African Americans (5,954 pg/mL; 95% CI: 4,725–7,502) than in whites (4,133 pg/mL; 95% CI: 2,890–5,910).

Conclusion: We observed a nonsignificantly higher adjusted cord blood leptin concentration in African-American male babies than in white male babies, although unadjusted levels were similar.

Impact: These findings do not support the hypothesis that leptin level in utero contributes to the racial disparity in prostate cancer risk in adulthood. Cancer Epidemiol Biomarkers Prev; 20(4); 665–71. ©2011 AACR.

In the United States, African-American men have 1.6 times the incidence of and 2.4 times the mortality from prostate cancer compared with white men (1). Reasons for this disparity are unclear but may include racial variation in dietary and lifestyle factors, health-seeking and treatment behaviors, and genetic susceptibility (2). This disparity remains after taking into account racial differences in the prevalence of exposures in middle age (3). That racial differences in exposures experienced in middle age do not seem to fully explain the disparity in prostate cancer rates supports investigating whether racial differences in exposures earlier in life may be explanatory.

Evidence is emerging that risk of chronic diseases (4), including cancer (5, 6), in adulthood may be influenced by the in utero environment. For example, in some studies, higher birth weight, a marker for in utero development, has been reported to be associated with an increased risk of prostate cancer, especially advanced stage disease (7–11). This observation suggests that growth-related factors in utero contribute to prostate carcinogenesis and may also influence the progression of the disease to a worse phenotype. On the basis of these findings, we hypothesize that racial differences in in utero factors, especially those that influence fetal development and newborn growth, may contribute to the observed racial disparity in prostate cancer.

Given our prior findings that African-American male babies had a higher molar ratio of testosterone to sex hormone–binding globulin (SHBG) but lower concentrations of insulin-like growth factor (IGF)-1 and IGF-2 in umbilical cord blood than white male babies (12), the hormone leptin was next of interest to us because of its role in fetal development and newborn growth (13). In adults, leptin, which is produced by adipose tissue, regulates energy intake and expenditure (14). Relevant to racial disparities, circulating leptin levels were higher in African-American men than in white men taking into account differences in adiposity in a U.S. nationally representative study (15). Although laboratory-based studies have shown that leptin promotes prostate cancer cell proliferation and angiogenesis (16), adult leptin levels have not been consistently associated with prostate cancer risk (17–21).

Relevant to the in utero environment, both fetal adipose tissue and the placenta produce leptin and some fetal tissues and the placenta express the leptin receptor, suggesting an important role for leptin in the maintenance of pregnancy and fetal development (13, 22). In addition, in utero leptin levels may influence newborn growth via effects on the hypothalamus, which, in turn, may influence appetite regulation after birth and energy balance in adult life (23). Children who experience catch-up growth have been reported later in life to have a higher risk of developing obesity and the metabolic syndrome (24–26), both of which are risk factors for more aggressive prostate cancer in some studies (27).

Whether racial differences in leptin levels in utero exist and could, in part, explain the racial disparity in prostate cancer has not been addressed. Among the few studies that have evaluated differences in cord blood leptin concentrations between racial or ethnic groups (28, 29), none that we are aware of has compared cord blood leptin levels in African Americans and whites. African-American babies have a lower mean birth weight and a higher proportion of low and very low birth weight than white babies (30). Yet, African Americans have been reported to grow faster in childhood and early adolescence (31). While birth weight itself may not directly explain the higher risk of developing prostate cancer in African-American men, in utero leptin levels could indirectly influence the risk of developing prostate cancer later in life through newborn or childhood catch-up growth. To begin to address this hypothesis, we evaluated whether venous umbilical cord blood leptin concentration differs between African-American and white male babies.

We used data and samples from the Hormones in Umbilical Cord Blood (HUB) Study and reported details previously (12). The HUB Study was approved by the Institutional Review Boards (IRB) of the Prince George's Hospital Center and the Johns Hopkins Bloomberg School of Public Health. Evaluation of the leptin hypothesis with the HUB samples was approved by the Johns Hopkins Bloomberg School of Public Health IRB.

We collected venous umbilical cord blood samples from births that met inclusion criteria at 2 hospitals, Prince George's Hospital Center in Cheverly, MD (hospital 1), and the Johns Hopkins Hospital in Baltimore, MD (hospital 2), between February 2004 and June 2005. Delivery room nurses collected the cord blood samples and demographic data. Inclusion criteria for the babies were full-term birth (38th–42nd gestational week), normal birth weight (2,500–4,000 g), no major birth defects, and singleton birth. Inclusion criteria for the mothers were no pregnancy complications (e.g., gestational or pregestational diabetes mellitus, gestational or chronic hypertension, or thyroid diseases); no use of hormonal medications during pregnancy; and no known growth hormone deficiency. Also, the baby's mother and father were required to be of the same race.

For each eligible birth, the delivery room nurses used a standardized form to collect the following maternal and birth-related data: month and time (quadrant) of day of the birth, birth and placental weights, mother/child's race, and mother's age, parity (number of live births), and gravidity (number of pregnancies). The identities of the mothers and their babies were not recorded, and no other information was collected. Fifteen milliliters of blood in total was collected into 2 tubes containing sodium EDTA from the umbilical cord vein. The samples were temporarily stored in a refrigerator and were usually processed within 12 hours. After centrifugation for 15 minutes at 2,400 rpm at room temperature, plasma, buffy coat, and red cells were aliquotted into cryovials and stored at −70°C.

The samples were randomly ordered for shipment and testing. Blinded quality control replicates of cord blood samples (n = 6) were included to assess assay reliability. The plasma samples were shipped on dry ice by overnight courier to the laboratory of Dr. Nader Rifai at Children's Hospital Boston, Boston, MA. One hundred thirteen eligible male specimens were collected: 75 African Americans and 38 whites. After excluding 6 specimens missing on covariate data, the final analytic sample consisted of 70 African Americans and 37 whites.

Leptin concentration was measured by an ultrasensitive, enzymatically amplified, 2-step sandwich-type immunoassay (R&D Systems). Laboratory technicians were blinded to race and hospital information. The lowest detection limit of the assay was 7.8 pg/mL. The coefficient of variation for the quality control specimens was 7.9%. Testosterone, estradiol, and SHBG were measured previously in the laboratory of Dr. Nader Rifai, Children's Hospital Boston, and IGF-1, IGF-2, and IGF binding protein (BP)-3 were measured previously in the laboratory of Dr. Michael Pollak, Jewish General Hospital and McGill University, Montreal, Quebec, Canada (12).

Because leptin concentration was not normally distributed, we calculated the unadjusted geometric mean concentration and tested for a difference in concentration between the 2 racial groups by using the t test. To reduce possible confounding by the maternal and birth characteristics and the previously measured analytes, we evaluated whether the geometric means differed by race after adjusting for birth (continuous) and placental (continuous) weights, mother's age (continuous) and parity (indicator variables), time of day (indicator variables), season of birth (indicator variables), testosterone, estradiol, and SHBG (all indicator variables), and IGF-1, IGF-2, and IGFBP-3 (all indicator variables), using linear regression models. We tested for the difference in the prevalence of high leptin concentration (>10,000 pg/mL) between the racial groups by using the Cochran–Mantel–Haenszel test. All analyses were conducted using SAS version 9.1 (SAS Institute).

Characteristics of the mothers and their male babies are shown in Table 1. African-American mothers were, on average, 4 years younger and were less likely to be nulliparous than white mothers. Mean birth and placental weights were lower for African-American babies than for white babies. If African-American births between the two 2 hospitals were compared, mothers at hospital 2 were more likely to be nulliparous, and the distribution of the season and time of day of birth differed.

Table 1.

Maternal and birth characteristics by race and hospital, men, HUB Study 2004–2005

African AmericanWhiteP
Hospital 1Hospital 2Hospitals 1 and 2Hospital 2African American, hospital 1 vs. 2African American vs. white, hospital 2African American vs. white
n 33 37 70 37    
Mother's age, mean (SD), y 24.4 (5.0) 24.0 (7.1) 24.2 (6.2) 28.7 (6.3) 0.77a 0.004a <0.001a 
Baby's birth weight, mean (SD), g 3286 (316) 3193 (362) 3237 (342) 3477 (395) 0.26a 0.002a 0.001a 
Placental weight, mean (SD), g 673 (152) 641 (118) 656 (135) 698 (153) 0.33a 0.08a 0.15a 
Parity, %        
15.2 40.5 28.6 62.2 0.10b 0.21b 0.009b 
45.5 27.0 35.7 21.6    
21.2 13.5 17.1 10.8    
≥3 18.2 18.9 18.6 5.4    
Season of birth, %        
Winter 36.4 24.3 30.0 10.8 <0.001b 0.05b 0.04b 
Spring 27.3 73.0 51.4 67.6    
Summer 6.1 0.0 2.9 10.8    
Fall 30.3 2.7 15.7 10.8    
Time of day of birth, %        
Midnight, <6 AM 3.0 27.0 15.7 32.4 <0.001b 0.20b 0.001b 
6 AM, <noon 42.4 27.0 34.3 8.1    
Noon, <6 PM 51.5 21.6 35.7 24.3    
6 PM, <midnight 3.0 24.3 14.3 35.1    
African AmericanWhiteP
Hospital 1Hospital 2Hospitals 1 and 2Hospital 2African American, hospital 1 vs. 2African American vs. white, hospital 2African American vs. white
n 33 37 70 37    
Mother's age, mean (SD), y 24.4 (5.0) 24.0 (7.1) 24.2 (6.2) 28.7 (6.3) 0.77a 0.004a <0.001a 
Baby's birth weight, mean (SD), g 3286 (316) 3193 (362) 3237 (342) 3477 (395) 0.26a 0.002a 0.001a 
Placental weight, mean (SD), g 673 (152) 641 (118) 656 (135) 698 (153) 0.33a 0.08a 0.15a 
Parity, %        
15.2 40.5 28.6 62.2 0.10b 0.21b 0.009b 
45.5 27.0 35.7 21.6    
21.2 13.5 17.1 10.8    
≥3 18.2 18.9 18.6 5.4    
Season of birth, %        
Winter 36.4 24.3 30.0 10.8 <0.001b 0.05b 0.04b 
Spring 27.3 73.0 51.4 67.6    
Summer 6.1 0.0 2.9 10.8    
Fall 30.3 2.7 15.7 10.8    
Time of day of birth, %        
Midnight, <6 AM 3.0 27.0 15.7 32.4 <0.001b 0.20b 0.001b 
6 AM, <noon 42.4 27.0 34.3 8.1    
Noon, <6 PM 51.5 21.6 35.7 24.3    
6 PM, <midnight 3.0 24.3 14.3 35.1    

aThe t test.

bThe Fisher exact test.

Table 2.

Correlationsa between umbilical cord blood leptin concentration and maternal and birth characteristics, sex steroid hormones, and growth factors, overall and by race, in male babies, HUB Study 2004–2005

All (n = 107)bWhite (n = 37)African American (n = 70)
LeptinPLeptinPLeptinP
Mother's age 0.002 0.98 0.06 0.73 −0.02 0.87 
Parity 0.04 0.65 0.19 0.27 −0.04 0.76 
Birth weight 0.34 0.0003 0.49 0.0022 0.28 0.02 
Placental weight 0.25 0.01 0.23 0.16 0.25 0.04 
IGF-1 0.21 0.03 0.10 0.54 0.28 0.02 
IGF-2 0.11 0.25 0.19 0.25 0.12 0.32 
IGFBP-3 0.29 0.0025 0.22 0.20 0.36 0.0026 
Testosterone 0.11 0.25 −0.02 0.89 0.16 0.18 
Estradiol −0.07 0.49 0.08 0.65 −0.14 0.24 
SHBG 0.03 0.73 0.40 0.01 −0.14 0.25 
All (n = 107)bWhite (n = 37)African American (n = 70)
LeptinPLeptinPLeptinP
Mother's age 0.002 0.98 0.06 0.73 −0.02 0.87 
Parity 0.04 0.65 0.19 0.27 −0.04 0.76 
Birth weight 0.34 0.0003 0.49 0.0022 0.28 0.02 
Placental weight 0.25 0.01 0.23 0.16 0.25 0.04 
IGF-1 0.21 0.03 0.10 0.54 0.28 0.02 
IGF-2 0.11 0.25 0.19 0.25 0.12 0.32 
IGFBP-3 0.29 0.0025 0.22 0.20 0.36 0.0026 
Testosterone 0.11 0.25 −0.02 0.89 0.16 0.18 
Estradiol −0.07 0.49 0.08 0.65 −0.14 0.24 
SHBG 0.03 0.73 0.40 0.01 −0.14 0.25 

aSpearman correlation coefficients.

bAdjusted for race.

Table 3.

Geometric mean umbilical cord blood leptin concentration (pg/mL) by race, males, HUB Study 2004–2005

WhiteAfrican AmericanP
Geometric mean95% CIGeometric mean95% CI
Unadjusted 5,187 3,938–6,832 5,280 4,322–6,451 0.92 
Adjusted for      
Birth and placental weights, mother's age and parity, season and time of day of birth 4,434 3,209–6,126 5,737 4,621–7,122 0.11 
Testosterone, estradiol, SHBG 4,726 3,514–6,357 5,546 4,496–6,842 0.41 
IGF-1, IGF-2, IGFBP-3 4,691 3,555–6,189 5,568 4,576–6,776 0.34 
Birth and placental weights, mother's age and parity, season and time of day of birth, testosterone, estradiol, SHBG 4,046 2,858–5,727 6,021 4,795–7,562 0.10 
Birth and placental weights, mother's age and parity, season and time of day of birth, IGF-1, IGF-2, IGFBP-3 4,302 3,081–6,006 5,829 4,684–7,254 0.19 
Birth and placental weights, mother's age and parity, season and time of day of birth, testosterone, estradiol, SHBG, IGF-1, IGF-2, IGFBP-3 4,133 2,890–5,910 5,954 4,725–7,502 0.15 
WhiteAfrican AmericanP
Geometric mean95% CIGeometric mean95% CI
Unadjusted 5,187 3,938–6,832 5,280 4,322–6,451 0.92 
Adjusted for      
Birth and placental weights, mother's age and parity, season and time of day of birth 4,434 3,209–6,126 5,737 4,621–7,122 0.11 
Testosterone, estradiol, SHBG 4,726 3,514–6,357 5,546 4,496–6,842 0.41 
IGF-1, IGF-2, IGFBP-3 4,691 3,555–6,189 5,568 4,576–6,776 0.34 
Birth and placental weights, mother's age and parity, season and time of day of birth, testosterone, estradiol, SHBG 4,046 2,858–5,727 6,021 4,795–7,562 0.10 
Birth and placental weights, mother's age and parity, season and time of day of birth, IGF-1, IGF-2, IGFBP-3 4,302 3,081–6,006 5,829 4,684–7,254 0.19 
Birth and placental weights, mother's age and parity, season and time of day of birth, testosterone, estradiol, SHBG, IGF-1, IGF-2, IGFBP-3 4,133 2,890–5,910 5,954 4,725–7,502 0.15 

Cord blood leptin concentration ranged from 354 to 75,333 pg/mL. Comparing a cord blood leptin concentration >10,000 pg/mL (the approximate 80th percentile) with a concentration ≤10,000 pg/mL, the mothers were slightly older and were more likely to be multiparous and the birth and placental weights were slightly higher (data not shown). Leptin concentration was statistically significantly positively correlated with birth and placental weights, and concentrations of IGF-1 and IGFBP-3 adjusting for race (Table 2). In white babies, leptin concentration was positively correlated with birth weight and SHBG. In African-American babies, leptin was positively correlated with birth weight, placental weight, IGF-1, and IGFBP-3.

Median (interquartile range) cord blood leptin concentrations were 5,249 pg/mL (3,443–9,579) and 4,999 pg/mL (3,297–7,058) in African-American and white male babies, respectively. Geometric mean cord blood leptin concentration (P = 0.92) did not differ between African-American (5,280 pg/mL; 95% CI: 4,322–6,451) and white (5,187 pg/mL; 95% CI: 3,938–6,832) male babies (Table 3). The prevalence of a high leptin concentration (>10,000 pg/mL) did not differ between African-American (22.9%) and white (18.9%) babies (P = 0.64). When we adjusted for maternal and birth characteristics, sex steroid hormones, and IGF axis components simultaneously, cord blood leptin concentration was higher (P = 0.15) in African Americans (5,954 pg/mL; 95% CI: 4,725–7,502) than in whites (4,133 pg/mL; 95% CI: 2,890–5,910). After multivariable adjustment, the prevalence of high leptin concentration differed between African-American and white babies (P < 0.01). Adjustment for birth weight and IGFBP-3 seemed to explain most of the difference between unadjusted and adjusted results when entering each maternal factor, birth factor, or other cord blood analytes into the model one at a time. The results (data not shown) were similar to overall when restricting the analysis to the births at hospital 2 only, and when restricting to mothers older than 20 years (the distribution of young maternal age differed by race).

The purpose of this study was to evaluate whether umbilical cord blood leptin concentration differs by race, and, if so, whether the direction of the difference could explain, in part, the observed racial disparity in prostate cancer incidence and mortality rates. Cord blood leptin concentration in male babies did not differ by race, although after adjustment for maternal and birth characteristics and concentrations of sex steroid hormones and IGF axis components, leptin concentration seemed to be higher in African Americans than in whites. If our hypothesis were correct, we would have expected differences in cord blood leptin levels between African-American and white male babies in the unadjusted analysis as well.

Prior studies have evaluated racial differences in leptin levels in adulthood and childhood. Leptin concentration was similar in African-American and white men in 3 studies (32–34), but in 2 large studies, African-American men had higher leptin levels than white men when taking into account racial differences in body size (15, 35). When taking into account body size, leptin concentration was reported to be similar both in prepubertal African-American and white children (36, 37) and in infants (38), or lower in African-American children and adolescents than in white children and adolescents (39). Given the heterogeneity of the findings on racial variation, it is unclear whether our results for cord blood leptin are consistent or inconsistent with prior findings for adults and children.

In our study, African-American babies had comparable unadjusted leptin levels despite their lower birth weight. Because leptin is hypothesized to influence growth after birth (23), it is possible that the higher leptin levels for a given birth weight may suggest a greater likelihood of catch-up growth among African-American babies than among white babies. Babies who experience catch-up growth have a higher rate of fat gain than lean tissue gain (25) and are at an increased risk of developing diseases such as obesity and metabolic syndrome in later life (25, 26). However, whether the phenomenon of catch-up growth influences either prostate cancer risk or the racial disparity in risk has yet to be evaluated, and no studies have reported low birth weight to be associated with an increased risk of developing prostate cancer (40).

We considered other possible alternative hypotheses that could account for not observing racial differences in cord blood leptin level in the unadjusted analysis. First, leptin exposure in utero may not play a role in prostate carcinogenesis and/or it does play a role but does not influence the racial disparity. Second, measurement of leptin in cord blood may not capture the etiologically relevant exposure in utero or the timing of when racial differences in leptin levels in utero may exist. Finally, we cannot rule out chance as an explanation for the lack of a racial difference in leptin level in the unadjusted analysis and/or the nonstatistically significantly higher leptin level in African Americans in the adjusted analysis.

To the best of our knowledge, this is the first study to evaluate differences in cord blood leptin concentration between African-American and white males. We presented both unadjusted and adjusted results because they may lead to differing inferences. Unadjusted results reflect the levels experienced by the 2 racial groups and, if different (barring lack of internal and external validity), could account for the racial disparity in prostate cancer risk in the population. In contrast, the adjusted results reflect whether there may be racial variation in leptin levels beyond known factors that influence leptin levels and that differ by race, including inherent racial differences. We were able to adjust for maternal and birth characteristics, sex steroid hormones, and components of the IGF axis, analytes that we previously found to differ by race in the cord blood of males (12). However, we did not collect information on mothers' diet and lifestyle or assess maternal leptin levels during pregnancy. Our study was powered to detect moderate or large differences by race in cord blood biomarker concentrations (12). Because the sample size for African-American males was larger for white males, correlations of similar magnitude were statistically significant in African Americans but not in whites.

Because we conducted the study at only 2 hospitals, imposed inclusion criteria, and did not know the proportion of all eligible male births that were included in the study, it is unclear whether our cord blood leptin results are generalizable to other births at the 2 hospitals or to U.S. African–American and white male babies. Nevertheless, cord blood leptin concentration was in the range previously reported for U.S. babies whose birth weight was appropriate for gestational age (41, 42), including in a study of full-term African-American babies unselected for birth weight (43). Furthermore, the applicability of our results from this contemporary birth cohort to the birth cohorts that are now in the age range to be at risk for developing prostate cancer and that are now experiencing the racial disparity is unknown.

In conclusion, we observed no difference in cord blood leptin concentration between African-American and white male babies, although after taking into account maternal and birth characteristics, sex steroid hormones, and IGF axis components, the level was nonstatistically significantly higher in African Americans. That African-American male babies had similar leptin concentration to whites in the unadjusted analysis does not support the hypothesis that leptin level in utero contributes to the racial disparity in prostate cancer risk in adulthood.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the NIH.

This work was supported by NCI grant U54 (Hopkins CA091409) and U54 (Howard CA091431). Support was also provided by the doctoral research fund from the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health. G. Lai was supported by a National Research Service Award T32 CA009314 from the National Cancer Institute, NIH.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Jemal
A
,
Siegel
R
,
Xu
J
,
Ward
E
. 
Cancer statistics, 2010
.
CA Cancer J Clin
2010
;
60
:
277
300
.
2.
Williams
H
,
Powell
IJ
. 
Epidemiology, pathology, and genetics of prostate cancer among African Americans compared with other ethnicities
.
Methods Mol Biol
2009
;
472
:
439
53
.
3.
Giovannucci
E
,
Liu
Y
,
Platz
EA
,
Stampfer
MJ
,
Willett
WC
. 
Risk factors for prostate cancer incidence and progression in the Health Professionals Follow-up Study
.
Int J Cancer
2007
;
121
:
1571
8
.
4.
Barker
DJ
. 
A new model for the origins of chronic disease
.
Med Health Care Philos
2001
;
4
:
31
5
.
5.
Ekbom
A
. 
Growing evidence that several human cancers may originate in utero
.
Semin Cancer Biol
1998
;
8
:
237
44
.
6.
Grotmol
T
,
Weiderpass
E
,
Tretli
S
. 
Conditions in utero and cancer risk
.
Eur J Epidemiol
2006
;
21
:
561
70
.
7.
Tibblin
G
,
Eriksson
M
,
Cnattingius
S
,
Ekbom
A
. 
High birth weight as a predictor of prostate cancer risk
.
Epidemiology
1995
;
6
:
423
4
.
8.
Ekbom
A
,
Hsieh
CC
,
Lipworth
L
,
Wolk
A
,
Pontén
J
,
Adami
HO
, et al
Perinatal characteristics in relation to incidence of and mortality from prostate cancer
.
BMJ
1996
;
313
:
337
41
.
9.
Platz
EA
,
Giovannucci
E
,
Rimm
EB
,
Curhan
GC
,
Spiegelman
D
,
Colditz
GA
, et al
Retrospective analysis of birth weight and prostate cancer in the Health Professionals Follow-up Study
.
Am J Epidemiol
1998
;
147
:
1140
4
.
10.
Nilsen
TI
,
Romundstad
PR
,
Troisi
R
,
Vatten
LJ
. 
Birth size and subsequent risk for prostate cancer: a prospective population-based study in Norway
.
Int J Cancer
2005
;
113
:
1002
4
.
11.
Eriksson
M
,
Wedel
H
,
Wallander
MA
,
Krakau
I
,
Hugosson
J
,
Carlsson
S
, et al
The impact of birth weight on prostate cancer incidence and mortality in a population-based study of men born in 1913 and followed up from 50 to 85 years of age
.
Prostate
2007
;
67
:
1247
54
.
12.
Rohrmann
S
,
Sutcliffe
CG
,
Bienstock
JL
,
Monsegue
D
,
Akereyeni
F
,
Bradwin
G
, et al
Racial variation in sex steroid hormones and the insulin-like growth factor axis in umbilical cord blood of male neonates
.
Cancer Epidemiol Biomarkers Prev
2009
;
18
:
1484
91
.
13.
Forhead
AJ
,
Fowden
AL
. 
The hungry fetus? Role of leptin as a nutritional signal before birth
.
J Physiol
2009
;
587
:
1145
52
.
14.
Farooqi
IS
,
O'Rahilly
S
. 
Leptin: a pivotal regulator of human energy homeostasis
.
Am J Clin Nutr
2009
;
89
:
980S
4S
.
15.
Ruhl
CE
,
Everhart
JE
. 
Leptin concentrations in the United States: relations with demographic and anthropometric measures
.
Am J Clin Nutr
2001
;
74
:
295
301
.
16.
Mistry
T
,
Digby
JE
,
Desai
KM
,
Randeva
HS
. 
Obesity and prostate cancer: a role for adipokines
.
Eur Urol
2007
;
52
:
46
53
.
17.
Stattin
P
,
Soderberg
S
,
Hallmans
G
,
Bylund
A
,
Kaaks
R
,
Stenman
UH
, et al
Leptin is associated with increased prostate cancer risk: a nested case-referent study
.
J Clin Endocrinol Metab
2001
;
86
:
1341
5
.
18.
Baillargeon
J
,
Platz
EA
,
Rose
DP
,
Pollock
BH
,
Ankerst
DP
,
Haffner
S
, et al
Obesity, adipokines, and prostate cancer in a prospective population-based study
.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
1331
5
.
19.
Hsing
AW
,
Chua
S
,
Gao
YT
,
Gentzschein
E
,
Chang
L
,
Deng
J
, et al
Prostate cancer risk and serum levels of insulin and leptin: a population-based study
.
J Natl Cancer Inst
2001
;
93
:
783
9
.
20.
Lagiou
P
,
Signorello
LB
,
Trichopoulos
D
,
Tzonou
A
,
Trichopoulou
A
,
Mantozoros
CS
. 
Leptin in relation to prostate cancer and benign prostatic hyperplasia
.
Int J Cancer
1998
;
76
:
25
8
.
21.
Stattin
P
,
Kaaks
R
,
Johansson
R
,
Gislefoss
R
,
Söderberg
S
,
Alfthan
H
, et al
Plasma leptin is not associated with prostate cancer risk
.
Cancer Epidemiol Biomarkers Prev
2003
;
12
:
474
5
.
22.
Hauguel-de Mouzon
S
,
Lepercq
J
,
Catalano
P
. 
The known and unknown of leptin in pregnancy
.
Am J Obstet Gynecol
2006
;
194
:
1537
45
.
23.
McMillen
IC
,
Adam
CL
,
Muhlhausler
BS
. 
Early origins of obesity: programming the appetite regulatory system
.
J Physiol
2005
;
565
:
9
17
.
24.
Claris
O
,
Beltrand
J
,
Levy-Marchal
C
. 
Consequences of intrauterine growth and early neonatal catch-up growth
.
Semin Perinatol
2010
;
34
:
207
10
.
25.
Dulloo
AG
. 
Thrifty energy metabolism in catch-up growth trajectories to insulin and leptin resistance
.
Best Pract Res Clin Endocrinol Metab
2008
;
22
:
155
71
.
26.
Levy-Marchal
C
,
Czernichow
P
. 
Small for gestational age and the metabolic syndrome: which mechanism is suggested by epidemiological and clinical studies?
Horm Res
2006
;
65
Suppl 3
:
123
30
.
27.
Giovannucci
E
,
Michaud
D
. 
The role of obesity and related metabolic disturbances in cancers of the colon, prostate, and pancreas
.
Gastroenterology
2007
;
132
:
2208
25
.
28.
Yajnik
CS
,
Lubree
HG
,
Rege
SS
,
Naik
SS
,
Deshpande
JA
,
Deshpande
SS
, et al
Adiposity and hyperinsulinemia in Indians are present at birth
.
J Clin Endocrinol Metab
2002
;
87
:
5575
80
.
29.
Yeung
LP
,
Wong
AC
,
Wang
X
,
Birmingham
CL
,
Lewicka
S
,
Chanoine
JP
. 
Different relationship between anthropometric markers and umbilical cord plasma leptin in Asian and Caucasian neonates
.
Pediatr Res
2003
;
53
:
1019
24
.
30.
Martin
JA
,
Hamilton
BE
,
Sutton
PD
, et al
Births: final data for 2006 Natl Vital Stat Rep
2009
:
57
.
31.
Komlos
J
,
Breitfelder
A
. 
Differences in the physical growth of US-born black and white children and adolescents ages 2–19, born 1942–2002
.
Ann Hum Biol
2008
;
35
:
11
21
.
32.
Donahue
RP
,
Zimmet
P
,
Bean
JA
,
Decourten
M
,
DeCarlo Donahue
RA
,
Collier
G
, et al
Cigarette smoking, alcohol use, and physical activity in relation to serum leptin levels in a multiethnic population: The Miami Community Health Study
.
Ann Epidemiol
1999
;
9
:
108
13
.
33.
DeLellis Henderson
K
,
Rinaldi
S
,
Kaaks
R
,
Kolonel
L
,
Henderson
B
,
Le Marchand
L
. 
Lifestyle and dietary correlates of plasma insulin-like growth factor binding protein-1 IGFBP-1), leptin, and C-peptide: the multiethnic cohort
.
Nutr Cancer
2007
;
58
:
136
45
.
34.
Fowke
JH
,
Matthews
CM
,
Buchowski
MS
,
Signorello
LB
,
Chang
SS
,
Cookson
MS
, et al
Association between prostate-specific antigen and leptin, adiponectin, HbA1c or C-peptide among African-American and Caucasian men
.
Prostate Cancer Prostatic Dis
2008
;
11
:
264
9
.
35.
Ruhl
CE
,
Everhart
JE
,
Ding
J
,
Goodpaster
BH
,
Kanaya
AM
,
Simonsick
EM
, et al
Serum leptin concentrations and body adipose measures in older black and white adults
.
Am J Clin Nutr
2004
;
80
:
576
83
.
36.
Nagy
TR
,
Gower
BA
,
Trowbridge
CA
,
Dezenberg
C
,
Shewchuk
RM
,
Goran
MI
. 
Effects of gender, ethnicity, body composition, and fat distribution on serum leptin concentrations in children
.
J Clin Endocrinol Metab
1997
;
82
:
2148
52
.
37.
Danadian
K
,
Suprasongsin
C
,
Janosky
JE
,
Arslanian
S
. 
Leptin in African-American children
.
J Pediatr Endocrinol Metab
1999
;
12
:
639
44
.
38.
Koo
WW
,
Hammami
M
,
Hockman
EM
. 
Developmental variations in plasma leptin, leptin soluble receptor and their molar ratio in healthy infants
.
Nutr J
2007
;
6
:
11
.
39.
Ambrosius
WT
,
Compton
JA
,
Bowsher
RR
,
Pratt
JH
. 
Relation of race, age, and sex hormone differences to serum leptin concentrations in children and adolescents
.
Horm Res
1998
;
49
:
240
6
.
40.
Cnattingius
S
,
Lundberg
F
,
Sandin
S
,
Gronberg
H
,
Iliadou
A
. 
Birth characteristics and risk of prostate cancer: the contribution of genetic factors
.
Cancer Epidemiol Biomarkers Prev
2009
;
18
:
2422
6
.
41.
Christou
H
,
Connors
JM
,
Ziotopoulou
M
,
Hatzidakis
V
,
Papathanassoglou
E
,
Ringer
SA
, et al
Cord blood leptin and insulin-like growth factor levels are independent predictors of fetal growth
.
J Clin Endocrinol Metab
2001
;
86
:
935
8
.
42.
Mantzoros
CS
,
Rifas-Shiman
SL
,
Williams
CJ
,
Fargnoli
JL
,
Kelesidis
T
,
Gillman
MW
. 
Cord blood leptin and adiponectin as predictors of adiposity in children at 3 years of age: a prospective cohort study
.
Pediatrics
2009
;
123
:
682
9
.
43.
Adkins
RM
,
Klauser
CK
,
Magann
EF
,
Krushkal
J
,
Boyd
TK
,
Fain
JN
, et al
Site −2548 of the leptin gene is associated with gender-specific trends in newborn size and cord leptin levels
.
Int J Pediatr Obes
2007
;
2
:
130
7
.