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Biomarkers for predicting degree of weight loss

A biomarker and weight loss technology, applied in biological testing, biomaterial analysis, measuring devices, etc., can solve the problems of no predictive value, unable to provide prediction or indication of weight loss degree, etc.

Inactive Publication Date: 2018-11-09
SOC DES PROD NESTLE SA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods do not provide a prediction or indication of the degree of weight loss available to a particular individual
No predictive value when studying association of biomarker levels with weight loss

Method used

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  • Biomarkers for predicting degree of weight loss
  • Biomarkers for predicting degree of weight loss
  • Biomarkers for predicting degree of weight loss

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0274] Example 1 - Using Plasma Biomarkers to Predict Weight Loss Following a Low-Calorie Diet (LCD)

[0275] The Diogenes dataset was used to identify proteins that could predict the success of individuals with weight loss and meal replacement (800 kcal / day) at baseline on a low-calorie diet (LCD). This study is a pan-European, randomized and controlled dietary intervention study investigating the effect of dietary protein and glycemic index on weight loss and weight maintenance in obese and overweight households in more than eight European centers in approximately 500 individuals (Larsen et al., Obesity reviews (2009), 11, 76-91 (Larsen et al., Obesity Reviews, 2009, Vol. 11, pp. 76-91)).

[0276] Fasting plasma was collected from all participants immediately prior to compliance with the eight-week hypocaloric dietary intervention. The Diogenes dataset includes 1240 proteins identified using SomaLogic or LC-MS techniques. Each data set was analyzed individually to identi...

Embodiment 2

[0297] Example 2: Stratifying Individuals Based on Predicted Weight Loss and Success Thresholds

[0298] The term "obesity diet tolerance" proposed by Ghosh et al. Responding to" (ODR) is interpreted as "weight loss tolerance" because the individual is predicted to have a percent weight loss below a predetermined threshold. For example, "tolerance to weight loss" can be defined as predicted loss in bmi units less than the 30th or 15th percentile of expected bmi reduction (where bmi reduction = (bmi1-bmi2)*100% / bmil).

[0299] The term "obesity diet sensitive" (ODS) is interpreted as "weight loss sensitive" because an individual is predicted to have a percent weight loss above a predetermined threshold. For example, "weight loss sensitive" can be defined as a predicted decrease in bmi units greater than the 70th percentile or 85th percentile of the expected bmi decrease.

[0300] The expected mean median or other percentile of bmi reduction can be obtained by the skilled ...

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Abstract

The present invention provides a method for predicting the degree of weight loss attainable by applying one or more dietary interventions to a subject, said method comprising a step of determining thelevel of one or more biomarkers in one or more samples obtained from the subject, wherein the one or more biomarkers include vitamin K-dependent protein C.

Description

technical field [0001] The present invention provides various biomarkers and combinations of biomarkers that can be used to predict the degree of weight loss that can be obtained by administering one or more dietary interventions to an individual. Background technique [0002] Obesity is a chronic metabolic disease that has reached epidemic proportions in many parts of the world. Obesity is a major risk factor for serious comorbidities such as type 2 diabetes, cardiovascular disease, dyslipidemia and certain types of cancer (World Health Organ Tech Rep Ser. 2000; 894:i-xii, 1-253 (World Health Organization Tech Report Series, 2000, 894:i-xii, pp. 1-253)). [0003] It has long been recognized that hypocaloric dietary interventions are very effective in reducing body weight and that this weight loss is often accompanied by an improvement in the risk of obesity-related comorbidities, especially type 2 diabetes (World Health Organ TechRep Ser. 2000; 894: i- xii, 1-253 (World H...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/86
CPCG01N33/86G01N2333/96461Y02A90/10
Inventor I·伊林奇瓦J·哈格尔L·达永O·科米内蒂
Owner SOC DES PROD NESTLE SA
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