Literature DB >> 20574715

Whole body composition analysis by the BodPod air-displacement plethysmography method in children with phenylketonuria shows a higher body fat percentage.

Monique Albersen1, Marjolein Bonthuis, Nicole M de Roos, Dorine A M van den Hurk, Ems Carbasius Weber, Margriet M W B Hendriks, Monique G M de Sain-van der Velden, Tom J de Koning, Gepke Visser.   

Abstract

BACKGROUND: Phenylketonuria (PKU) causes irreversible central nervous system damage unless a phenylalanine (PHE) restricted diet with amino acid supplementation is maintained. To prevent growth retardation, a protein/amino acid intake beyond the recommended dietary protein allowance is mandatory. However, data regarding disease and/or diet related changes in body composition are inconclusive and retarded growth and/or adiposity is still reported. The BodPod whole body air-displacement plethysmography method is a fast, safe and accurate technique to measure body composition. AIM: To gain more insight into the body composition of children with PKU.
METHODS: Patients diagnosed with PKU born between 1991 and 2001 were included. Patients were identified by neonatal screening and treated in our centre. Body composition was measured using the BodPod system (Life Measurement Incorporation©). Blood PHE values determined every 1-3 months in the year preceding BodPod analysis were collected. Patients were matched for gender and age with data of healthy control subjects. Independent samples t tests, Mann-Whitney and linear regression were used for statistical analysis.
RESULTS: The mean body fat percentage in patients with PKU (n = 20) was significantly higher compared to healthy controls (n = 20) (25.2% vs 18.4%; p = 0.002), especially in girls above 11 years of age (30.1% vs 21.5%; p = 0.027). Body fat percentage increased with rising body weight in patients with PKU only (R = 0.693, p = 0.001), but did not correlate with mean blood PHE level (R = 0.079, p = 0.740).
CONCLUSION: Our data show a higher body fat percentage in patients with PKU, especially in girls above 11 years of age.

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Year:  2010        PMID: 20574715      PMCID: PMC3757265          DOI: 10.1007/s10545-010-9149-8

Source DB:  PubMed          Journal:  J Inherit Metab Dis        ISSN: 0141-8955            Impact factor:   4.982


Introduction

Phenylketonuria (PKU, OMIM 261600) is an autosomal recessive inborn error of phenylalanine (PHE) metabolism, caused by a deficient function of phenylalanine hydroxylase (EC 1.14.16.1), which converts PHE to tyrosine (Walter et al 2006). Untreated, accumulation of PHE occurs and patients develop irreversible central nervous system damage. Treatment consists of a dietary restriction of PHE (Walter et al 2006). In addition, some patients may profit from tetrahydrobiopterin (BH4) supplementation (Blau and Erlandsen 2004). A normal intellectual development is expected when adequate treatment is started early in life and continued during life (DeRoche and Welsh 2008; Walter et al 2006). The PKU diet comprises a restriction of natural protein and supplementation of essential amino acids with a PHE free amino acid mixture (Walter et al 2006). In the last century, patients on this diet often developed growth retardation (Allen et al 1996; Verkerk et al 1994). Therefore, nowadays, a total protein/amino acid intake exceeding the recommended dietary allowance (RDA) is advised (Acosta et al 2003). However, data regarding disease and/or diet related changes in growth and body composition are inconclusive and retarded growth is still being reported, mainly during the first years of life (Arnold et al 2002; Dobbelaere et al 2003). In addition, McBurnie et al (1991) showed higher body weights in prepubertal (age 2–10 years) children with PKU when compared to healthy control subjects, starting after 3 years of age and being positively related to serum PHE level. This effect was especially seen in girls. Furthermore, Walter et al (2002) reported blood PHE levels near or above the recommended upper limits, mainly among adolescents and young adults (age ≥10 years) compared to younger children (age < 10 years). This finding confirms a relatively low diet adherence in the former age group (Walter et al 2002). The BodPod whole body air-displacement plethysmography method is a relatively new technique to measure body composition. It has shown to be an accurate system in comparison with more conventional methods of body composition measurement like hydrostatic weighing and dual energy X-ray absorptiometry (DEXA) (Fields et al 2002). Moreover, non-invasive evaluation of body composition in this manner is fast and safe, not only in adults but also especially in children above 6 years of age (Fields et al 2002). In order to gain more insight into the body composition of children with PKU, we designed a study in which the BodPod system was used to analyse body composition in these patients.

Patients and methods

All patients diagnosed with PKU born between 1991 and 2001 and treated in our centre were included in this study. Patients had been identified by newborn screening and required dietary treatment for PHE level control. Diagnosis was confirmed by mutation analysis of the phenylalanine hydroxylase gene. Patients were treated from birth according to the Dutch PKU Guidelines, with a natural protein restricted diet and supplementation of PHE-free amino acids. The average protein intake was 1.3–1.5 times above RDA. None of the children received BH4 supplementation. Children with hyperphenylalaninaemia requiring only minor dietary protein restriction without amino acid supplementation were excluded. Body composition in patients with PKU was measured using the BodPod whole body air-displacement plethysmography method (Life Measurement Incorporation©; Fig. 1). After system warming-up, calibration and manual entering of gender, age and body height of the children, body weight was the first parameter to be determined by stepping on the BodPod weighing scale (Life Measurement Incorporation© 2004). Second, patients were seated within the BodPod chamber wearing tight underwear and a bathing cap, to minimize extracorporeal air volumes which could eventually bias the measurements (Life Measurement Incorporation© 2004). Next, body volume was measured indirectly by determining the pressure change caused by the volume of air displacement of the subject sitting inside the tightly closed chamber. The thoracic gas volume was determined by letting the child breathe through a tube connected within the BodPod, to correct for the air volume contained within the lungs during the measurement procedure (Life Measurement Incorporation© 2004). From body mass and volume, and through body density, total fat mass, total fat free mass and the body fat percentage were calculated by the BodPod system (Life Measurement Incorporation© 2004). Total measurement time was approximately 4 minutes. Where lung volume measurements failed to succeed, average lung volumes were predicted by the BodPod system (Life Measurement Incorporation© 2004), and adjusted manually afterwards using specific formulas suitable for BodPod measurements in children (Fields et al 2004).
Fig. 1

A child within the BodPod whole body air-displacement plethysmograph

A child within the BodPod whole body air-displacement plethysmograph Each patient was matched for gender and age with one healthy control subject, of whom BodPod analysis data were derived from the Division of Human Nutrition at the Wageningen University and Research Centre, The Netherlands. Blood PHE levels (in μmol/L) of patients with PKU were determined every 1–3 months in the year preceding BodPod measurements, using the High Pressure Liquid Chromatography-Tandem Mass Spectrometry (HPLC-MS-MS) analysis method based on the procedure described by Chace et al (1993).

Statistical analysis

Subject characteristics were evaluated for accurate matching by calculating ranges and means as well as standard deviations of age, height and body weight of patients with PKU and their healthy control counterparts. In addition, the body mass index (BMI) was determined [weight(kg)/height(m)2]. Median values were calculated when a parameter did not show normal distribution. Independent samples t tests were applied to verify whether subject characteristics differed significantly between both groups. Independent samples t tests were used to test whether mean body fat percentages differed significantly between patients with PKU and healthy controls. In addition, because puberty changes body composition, subgroup analysis was performed for boys and girls ≤11 years and >11 years of age. Based on previous repeated measurements in 18 healthy children in our laboratory (6–12 months apart), a power analysis demonstrated that with 20 subjects in each group, a 2.9% difference in body fat would be statistically significant (confidence level α of 5%, power of 80% and a within-subject standard deviation of 3.4% body fat). Linear regression analysis was applied to study the association between body fat percentage and body weight in patients with PKU as well as in healthy control subjects. In patients with PKU, individual median values of monthly to quarterly blood PHE levels, determined within 1 year before BodPod measurements, were calculated. Mann–Whitney non-parametric analysis was applied to see whether mean blood PHE levels, calculated from individual median values, differed significantly among PKU patient subgroups. Linear regression analysis was performed to evaluate the correlation of blood PHE level with body fat percentage in these children. The medical ethics committee of the Wageningen University and Research Centre, The Netherlands, has postulated that the study did not require their approval (06/17).

Results

Two out of 26 patients were excluded: one child with co-existing type I diabetes mellitus and one patient with co-existing severe attention deficit hyperactivity disorder. A total number of 24 children were subsequently invited, and both parents and children agreed to participate. In 4 children, body composition could not be measured due to anxiety and/or agitation. Analysis results were therefore available from 20 patients. Both patients with PKU (n = 20) and healthy controls (n = 20) consisted of 7 boys and 13 girls. Median age in both groups was 10.0 years (Table 1). Children with PKU were comparable to their gender- and age-matched healthy counterparts with respect to height (144.2 ± 18.7 cm vs 150.7 ± 14.1 cm; 95% confidence interval (CI) −17.2 to 4.0 cm), body weight (41.2 ± 16.7 kg vs 40.7 ± 11.9 kg; 95% CI −8.8 to 9.8 kg) and BMI (18.8 ± 3.5 kg/m2 vs 17.5 ± 2.0 kg/m2; 95% CI –0.5 to 3.2 kg/m2) (Table 1).
Table 1

Subject characteristics for both patients with PKU and healthy control subjects (n = 40)

Subject characteristicsPKU patients (n = 20)a Healthy controls (n = 20)a
Ageb (years)Range6–167–16
Median10.010.0
Height (cm)Range114.0–175.1123.0–179.0
Mean ± SD144.2 ± 18.7150.7 ± 14.1
Weight (kg)Range18.5–76.223.0–74.0
Mean ± SD41.2 ± 16.740.7 ± 11.9
BMI (kg/m2)Range14.0–25.314.2–23.1
Mean ± SD18.8 ± 3.517.5 ± 2.0

aIn both groups (n = 20), gender was equally distributed (7 boys and 13 girls)

bAge did not show a normal distribution; therefore only range and median are given

Subject characteristics for both patients with PKU and healthy control subjects (n = 40) aIn both groups (n = 20), gender was equally distributed (7 boys and 13 girls) bAge did not show a normal distribution; therefore only range and median are given The mean body fat percentage was significantly higher in patients with PKU compared to healthy control subjects (25.2 ± 7.3% vs 18.4 ± 5.8%; p = 0.002) (Fig. 2, Table 2). This difference was most pronounced in girls (24.8 ± 8.2% vs 18.7 ± 4.4%; p = 0.026) and especially above 11 years of age (30.1 ± 5.5% vs 21.5 ± 2.2%; p = 0.027) (Table 2). Furthermore, body fat percentage in patients with PKU increased with body weight (R = 0.693, p = 0.001) (Fig. 3). In the healthy control group, this increase was not observed (R = 0.250, p = 0.287) (Fig. 3).
Fig. 2

Boxplot of body fat percentage in patients with PKU (n = 20) compared to healthy control subjects (n = 20)

Table 2

Body fat percentage in patients with PKU compared to healthy control subjects (n = 40), with gender and age taken apart

Body fat (in %)Mean +/ − SDSignificance (p) of difference95% Confidence interval (95%CI) of difference
PKU patients (n = 20)Healthy controls (n = 20)
All subjects (n = 40)All ages25.2 ± 7.318.4 ± 5.80.002*2.6–11.0
Age  ≤ 11 years (n = 26)24.1 ± 7.618.6 ± 6.40.056−0.1 to 11.2
Age >11 years (n = 14)27.2 ± 7.018.2 ± 4.60.014*2.1–16.0
Boys (n = 14)All ages25.9 ± 5.817.9 ± 8.10.056−0.2 to 16.2
Age  ≤ 11 years (n = 8)27.8 ± 4.021.1 ± 9.80.273−8.0 to 21.4
Age >11 years (n = 6)23.4 ± 7.913.7 ± 2.40.113−3.6 to 22.8
Girls (n = 26)All ages24.8 ± 8.218.7 ± 4.40.026*0.8–11.5
Age  ≤ 11 years (n = 18)22.5 ± 8.417.5 ± 4.70.135−1.8 to 11.8
Age >11 years (n= 8)30.1 ± 5.521.5 ± 2.20.027*1.4–15.9

*p < 0.05

Fig. 3

Scatterplot with regression lines of body fat percentage against body weight in 20 patients with PKU () (R = 0.693, p = 0.001)*(—) and in 20 healthy control subjects () (R = 0.250, p = 0.287) (------). *p < 0.05

Boxplot of body fat percentage in patients with PKU (n = 20) compared to healthy control subjects (n = 20) Body fat percentage in patients with PKU compared to healthy control subjects (n = 40), with gender and age taken apart *p < 0.05 Scatterplot with regression lines of body fat percentage against body weight in 20 patients with PKU () (R = 0.693, p = 0.001)*(—) and in 20 healthy control subjects () (R = 0.250, p = 0.287) (------). *p < 0.05 The mean blood PHE level in patients with PKU (n = 20), calculated from monthly to quarterly median individual values, was 375 (±253) μmol/L (Table 3). Girls (n = 13) showed on average 129 μmol/L higher mean PHE level than boys (n = 7) (420 ± 303 μmol/L vs 291 ± 77 μmol/L; Table 3). This difference was even more pronounced above 11 years of age [562 ± 481 μmol/L (n = 4) vs 304 ± 72 μmol/L (n = 3); Table 3]. Mann–Whitney non-parametric analysis however, applied because PHE level did not have a normal distribution, showed that these PHE level differences between PKU patient subgroups were not significant (data not presented). After log-transformation of mean blood PHE level (to yield a normal distribution), linear regression analysis failed to show a correlation of PHE level with body fat percentage in patients with PKU (R = 0.079, p = 0.740).
Table 3

Blood phenylalanine levels (in μmol/L) in PKU patients (n = 20), measured in the year preceding BodPod analysis, with gender and age taken apart

Patients with PKUPHE level (μmol/L) meana ± SD
All patientsBoysGirls
All ages375 ± 253 (n = 20)291 ± 77 (n = 7)420 ± 303 (n = 13)
Age ≤11 years333 ± 166 (n = 13)281 ± 90 (n = 4)357 ± 190 (n = 9)
Age >11 years451 ± 369 (n = 7)304 ± 72 (n = 3)562 ± 481 (n = 4)

a Mean Mean of median individual values

Blood phenylalanine levels (in μmol/L) in PKU patients (n = 20), measured in the year preceding BodPod analysis, with gender and age taken apart a Mean Mean of median individual values

Discussion

Our data show that a higher body fat percentage is present in patients with PKU compared to healthy control subjects, especially in girls above 11 years of age. Our study furthermore confirms that the BodPod whole body air-displacement plethysmography method is a convenient method to use in children with PKU. In literature on PKU, results from weight and body composition studies are inconsistent. Whereas McBurnie et al (1991) reported a higher and above average weight in patients with PKU compared to healthy control subjects, Allen et al (1996) and Huemer et al (2007) found no significant differences in weight and body composition between these groups. Our data on the contrary show, within a population of only 20 patients with PKU and 20 healthy control subjects, a significant difference in body composition. Although BMI values are similar, a higher body fat percentage is present in children with PKU, especially in girls aged 11 years or older. Since serum PHE values reflect dietary compliance particularly in older children (McBurnie et al 1991; Walter et al 2002), blood PHE levels in patients with PKU were evaluated. McBurnie et al (1991) showed a positive correlation of serum PHE values with body weight in children with PKU, and particularly in girls. We did not find an association between mean blood PHE level and body fat percentage in patients with PKU. Although girls above 11 years of age with PKU show mean PHE levels near the target level of 600 μmol/L, standard deviations were remarkably large due to great inter-individual variations, and PKU subgroup sizes were relatively small, both of which explain our statistical analysis. Singh et al (2009) show that the prevalence of overweight in Dutch adolescents (mean age 12.7 years) is higher in the case of non-Western origins (i.e. at least one parent born in Latin America, Africa, Turkey or Asia) compared to adolescents of Dutch descent. In the present study, although the numbers are very small, this phenomenon should also be taken into account. A total of 4 out of 20 patients with PKU (mean age 10.2 years) are from Turkish (3) and Latin American (1) descent, and 1 of them belongs to the subgroup with the highest body fat percentage (girls ≥11 years of age). The healthy control subjects on the contrary are all of Dutch Caucasian descent. We therefore looked into the effect of exclusion of all 4 patients with PKU and a non-Western origin, along with their matched healthy counterparts, on body fat percentage. This did not change our conclusions. The present study shows, within a group of only 20 children with PKU, a higher body fat percentage, especially in girls above 11 years of age. The BodPod whole body air-displacement plethysmography method was found to be very suitable in this setting. Because the underlying aetiology of higher body fat percentages in patients with PKU compared to healthy control subjects cannot be clarified to date, further research is mandatory not only in prospect of elucidating disease and/or diet related changes in growth and body composition but also in relation to overall disease management strategies and outcome hallmarks. We therefore propose to regularly follow-up patients with PKU whenever a BodPod whole body air-displacement plethysmography method is available.
  14 in total

1.  Body protein in prepubertal children with phenylketonuria.

Authors:  J R Allen; L A Baur; D L Waters; I R Humphries; B J Allen; D C Roberts; K J Gaskin
Journal:  Eur J Clin Nutr       Date:  1996-03       Impact factor: 4.016

2.  Rapid diagnosis of phenylketonuria by quantitative analysis for phenylalanine and tyrosine in neonatal blood spots by tandem mass spectrometry.

Authors:  D H Chace; D S Millington; N Terada; S G Kahler; C R Roe; L F Hofman
Journal:  Clin Chem       Date:  1993-01       Impact factor: 8.327

3.  Child-specific thoracic gas volume prediction equations for air-displacement plethysmography.

Authors:  David A Fields; Holly R Hull; A J Cheline; Manjiang Yao; Paul B Higgins
Journal:  Obes Res       Date:  2004-11

4.  Twenty-five years of research on neurocognitive outcomes in early-treated phenylketonuria: intelligence and executive function.

Authors:  Kathryn DeRoche; Marilyn Welsh
Journal:  Dev Neuropsychol       Date:  2008       Impact factor: 2.253

5.  Physical growth of children treated for phenylketonuria.

Authors:  M A McBurnie; R A Kronmal; V E Schuett; R Koch; C G Azeng
Journal:  Ann Hum Biol       Date:  1991 Jul-Aug       Impact factor: 1.533

Review 6.  The metabolic and molecular bases of tetrahydrobiopterin-responsive phenylalanine hydroxylase deficiency.

Authors:  Nenad Blau; Heidi Erlandsen
Journal:  Mol Genet Metab       Date:  2004-06       Impact factor: 4.797

7.  Impaired prenatal and postnatal growth in Dutch patients with phenylketonuria. The National PKU Steering Committee.

Authors:  P H Verkerk; F J van Spronsen; G P Smit; R C Sengers
Journal:  Arch Dis Child       Date:  1994-08       Impact factor: 3.791

8.  How practical are recommendations for dietary control in phenylketonuria?

Authors:  J H Walter; F J White; S K Hall; A MacDonald; G Rylance; A Boneh; D E Francis; G J Shortland; M Schmidt; A Vail
Journal:  Lancet       Date:  2002-07-06       Impact factor: 79.321

Review 9.  Growth and body composition in children with classical phenylketonuria: results in 34 patients and review of the literature.

Authors:  M Huemer; C Huemer; D Möslinger; D Huter; S Stöckler-Ipsiroglu
Journal:  J Inherit Metab Dis       Date:  2007-07-11       Impact factor: 4.982

10.  Protein insufficiency and linear growth restriction in phenylketonuria.

Authors:  Georgianne L Arnold; Catherine J Vladutiu; Russell S Kirby; Eileen M Blakely; Jane M Deluca
Journal:  J Pediatr       Date:  2002-08       Impact factor: 4.406

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1.  Accuracy of six anthropometric skinfold formulas versus air displacement plethysmography for estimating percent body fat in female adolescents with phenylketonuria.

Authors:  Teresa D Douglas; Mary J Kennedy; Meghan E Quirk; Sarah H Yi; Rani H Singh
Journal:  JIMD Rep       Date:  2012-12-29

2.  The Validity of Bioelectrical Impedance Analysis to Measure Body Composition in Phenylketonuria.

Authors:  Maureen Evans; Kay Nguo; Avihu Boneh; Helen Truby
Journal:  JIMD Rep       Date:  2017-11-24

3.  Glycomacropeptide, a low-phenylalanine protein isolated from cheese whey, supports growth and attenuates metabolic stress in the murine model of phenylketonuria.

Authors:  Patrick Solverson; Sangita G Murali; Adam S Brinkman; David W Nelson; Murray K Clayton; Chi-Liang Eric Yen; Denise M Ney
Journal:  Am J Physiol Endocrinol Metab       Date:  2012-01-31       Impact factor: 4.310

4.  Dietary habits and metabolic control in adolescents and young adults with phenylketonuria: self-imposed protein restriction may be harmful.

Authors:  A M Das; K Goedecke; U Meyer; N Kanzelmeyer; S Koch; S Illsinger; T Lücke; H Hartmann; K Lange; H Lanfermann; L Hoy; X-Q Ding
Journal:  JIMD Rep       Date:  2013-11-13

5.  Body composition profile of young patients with phenylketonuria and mild hyperphenylalaninemia.

Authors:  Artemis Doulgeraki; Astrinia Skarpalezou; Areti Theodosiadou; Ioannis Monopolis; Kleopatra Schulpis
Journal:  Int J Endocrinol Metab       Date:  2014-07-01

6.  Analysis of body composition and nutritional status in Brazilian phenylketonuria patients.

Authors:  Priscila Nicolao Mazzola; Tatiele Nalin; Kamila Castro; Margreet van Rijn; Terry G J Derks; Ingrid D S Perry; Alberto Scofano Mainieri; Ida Vanessa D Schwartz
Journal:  Mol Genet Metab Rep       Date:  2016-01-09

7.  Overweight and obesity in PKU: The results from 8 centres in Europe and Turkey.

Authors:  H Gokmen Ozel; K Ahring; A Bélanger-Quintana; K Dokoupil; A M Lammardo; M Robert; J C Rocha; M F Almeida; M van Rijn; A MacDonald
Journal:  Mol Genet Metab Rep       Date:  2014-11-16

8.  Nutrient intake, body composition, and blood phenylalanine control in children with phenylketonuria compared to healthy controls.

Authors:  Melissa Sailer; Gabriela Elizondo; Julie Martin; Cary O Harding; Melanie B Gillingham
Journal:  Mol Genet Metab Rep       Date:  2020-05-11

9.  Special Low Protein Foods in the UK: An Examination of Their Macronutrient Composition in Comparison to Regular Foods.

Authors:  Georgina Wood; Sharon Evans; Kiri Pointon-Bell; Júlio César Rocha; Anita MacDonald
Journal:  Nutrients       Date:  2020-06-25       Impact factor: 5.717

10.  Long-Term Growth in Phenylketonuria: A Systematic Review and Meta-Analysis.

Authors:  Fatma Ilgaz; Alex Pinto; Hülya Gökmen-Özel; Julio César Rocha; Esther van Dam; Kirsten Ahring; Amaya Bélanger-Quintana; Katharina Dokoupil; Erdem Karabulut; Anita MacDonald
Journal:  Nutrients       Date:  2019-09-03       Impact factor: 5.717

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