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Updated: Jan 30, 2026
12:49
Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
Published on: April 4, 2018
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Data Independent Acquisition Mass Spectrometry Can Identify Circulating Proteins That Predict Future Weight Loss with
Nagaraj Malipatil1,2, Helene A Fachim3,4, Kirk Siddals5,6
1The School of Medical Sciences and Manchester Academic Health Sciences Centre, University of Manchester, Manchester, M13 9PL, UK. nagaraj.malipatil@nhs.net.
Journal of Clinical Medicine
|January 30, 2019
Summary
Higher baseline insulin-like growth factor-II (IGF-II) levels predict successful weight loss in individuals with impaired glucose regulation (IGR). This finding helps target interventions to prevent type 2 diabetes.
Area of Science:
- Metabolomics
- Proteomics
- Endocrinology
Background:
- Impaired glucose regulation (IGR) affects a significant portion of the population, increasing diabetes risk.
- Diet and weight loss programs are key interventions, but individual responses vary.
- Identifying biological predictors of weight loss success is crucial for personalized medicine.
Purpose of the Study:
- To investigate biological determinants associated with weight loss response in IGR individuals.
- To identify protein biomarkers predictive of successful weight management and improved insulin sensitivity.
- To explore the utility of SWATH mass spectrometry (MS) in predicting intervention outcomes.
Main Methods:
- Utilized sequential window acquisition of all theoretical fragment ion spectra (SWATH) mass spectrometry (MS) on pre-intervention blood samples.
- Analyzed anthropometric measurements and fasting blood tests before and after a six-month diet and weight loss program.
- Employed principal component analysis to identify protein clusters associated with weight loss outcomes.
Main Results:
- 40% of participants achieved significant weight loss (≥3%); 45% maintained weight; 15% gained weight.
- Weight loss correlated with reduced Hemoglobin A1c (HbA1c) and improved insulin sensitivity.
- Higher baseline levels of insulin-like growth factor-II (IGF-II) and Vitamin D binding protein were associated with greater weight loss.
- Baseline IGF-II levels significantly predicted weight loss success.
Conclusions:
- Baseline IGF-II levels are a key biological determinant predicting weight loss success in IGR individuals.
- SWATH MS can effectively discriminate individuals likely to respond to weight loss interventions.
- These findings support targeted interventions for diabetes prevention based on biological markers.
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