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Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

Wang P, Holst C, Andersen MR, Astrup A, Bouwman FG, van Otterdijk S, Wodzig WK, van Baak MA, Larsen TM, Jebb SA, Kafatos A, Pfeiffer AF, Martinez JA, Handjieva-Darlenska T, Kunesova M, Saris WH, Mariman EC - PLoS ONE (2011)

Bottom Line: A selected panel of blood proteins/steroids can predict the weight change after weight loss.ACE may play an important role in weight maintenance.The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss.

View Article: PubMed Central - PubMed

Affiliation: Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands. e.mariman@maastrichtuniversity.nl

ABSTRACT

Background: Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance.

Objective: To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study.

Design: Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured.

Results: Angiotensin I converting enzyme (ACE) was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%.

Conclusions: A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss.

Registration: ClinicalTrials.gov NCT00390637.

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Related in: MedlinePlus

The predicting power of blood analytes for weight loss maintenance by Logistic Regression.Volcano plot of the significance P-value versus odd ratio exp(B) of blood proteins/steroids for predicting continued weight loss during the 6-month maintenance period by logistic regression controlled for age and the fold change of weight. The symbols of the analytes are listed in Table 1. Suffix “_1”: concentration at CID1, “_2”: concentration at CID2, “_12”: the fold change of concentration CID2/CID1. The analytes are grouped as in Table 1 and marked in different shape/color.
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pone-0016773-g001: The predicting power of blood analytes for weight loss maintenance by Logistic Regression.Volcano plot of the significance P-value versus odd ratio exp(B) of blood proteins/steroids for predicting continued weight loss during the 6-month maintenance period by logistic regression controlled for age and the fold change of weight. The symbols of the analytes are listed in Table 1. Suffix “_1”: concentration at CID1, “_2”: concentration at CID2, “_12”: the fold change of concentration CID2/CID1. The analytes are grouped as in Table 1 and marked in different shape/color.

Mentions: In the pooled subjects, the fold change of angiotensin I converting enzyme 1 (ACE, p = 0.007), progesterone (PRO, p = 0.024), IGF binding protein 1 (IGFBP1, p = 0.032), the baseline concentrations of MMP9 (p = 0.029) and IGFBP1 (p = 0.033), and the concentration of testosterone (TES, p = 0.048) at CID2 were significant to predict the outcome of weight maintenance. In addition, the baseline concentrations of IL8 (p = 0.090) and IAPP (p = 0.093), the concentrations of CRP (p = 0.059), macrophage migration inhibiting factor (MIF, p = 0.067), glucagon-like peptide-1 (GLP1, p = 0.086) and glucagon (GCG, p = 0.086) at CID2, and the fold change of GLP1 (p = 0.053), TES (p = 0.063) and plasminogen activator inhibitor-1 (PAI1, p = 0.074) had a trend towards significance (Figure 1).


Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

Wang P, Holst C, Andersen MR, Astrup A, Bouwman FG, van Otterdijk S, Wodzig WK, van Baak MA, Larsen TM, Jebb SA, Kafatos A, Pfeiffer AF, Martinez JA, Handjieva-Darlenska T, Kunesova M, Saris WH, Mariman EC - PLoS ONE (2011)

The predicting power of blood analytes for weight loss maintenance by Logistic Regression.Volcano plot of the significance P-value versus odd ratio exp(B) of blood proteins/steroids for predicting continued weight loss during the 6-month maintenance period by logistic regression controlled for age and the fold change of weight. The symbols of the analytes are listed in Table 1. Suffix “_1”: concentration at CID1, “_2”: concentration at CID2, “_12”: the fold change of concentration CID2/CID1. The analytes are grouped as in Table 1 and marked in different shape/color.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3038864&req=5

pone-0016773-g001: The predicting power of blood analytes for weight loss maintenance by Logistic Regression.Volcano plot of the significance P-value versus odd ratio exp(B) of blood proteins/steroids for predicting continued weight loss during the 6-month maintenance period by logistic regression controlled for age and the fold change of weight. The symbols of the analytes are listed in Table 1. Suffix “_1”: concentration at CID1, “_2”: concentration at CID2, “_12”: the fold change of concentration CID2/CID1. The analytes are grouped as in Table 1 and marked in different shape/color.
Mentions: In the pooled subjects, the fold change of angiotensin I converting enzyme 1 (ACE, p = 0.007), progesterone (PRO, p = 0.024), IGF binding protein 1 (IGFBP1, p = 0.032), the baseline concentrations of MMP9 (p = 0.029) and IGFBP1 (p = 0.033), and the concentration of testosterone (TES, p = 0.048) at CID2 were significant to predict the outcome of weight maintenance. In addition, the baseline concentrations of IL8 (p = 0.090) and IAPP (p = 0.093), the concentrations of CRP (p = 0.059), macrophage migration inhibiting factor (MIF, p = 0.067), glucagon-like peptide-1 (GLP1, p = 0.086) and glucagon (GCG, p = 0.086) at CID2, and the fold change of GLP1 (p = 0.053), TES (p = 0.063) and plasminogen activator inhibitor-1 (PAI1, p = 0.074) had a trend towards significance (Figure 1).

Bottom Line: A selected panel of blood proteins/steroids can predict the weight change after weight loss.ACE may play an important role in weight maintenance.The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss.

View Article: PubMed Central - PubMed

Affiliation: Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, The Netherlands. e.mariman@maastrichtuniversity.nl

ABSTRACT

Background: Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance.

Objective: To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study.

Design: Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured.

Results: Angiotensin I converting enzyme (ACE) was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%.

Conclusions: A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss.

Registration: ClinicalTrials.gov NCT00390637.

Show MeSH
Related in: MedlinePlus