scholarly journals Data Independent Acquisition Mass Spectrometry Can Identify Circulating Proteins That Predict Future Weight Loss with a Diet and Exercise Programme

2019 ◽  
Vol 8 (2) ◽  
pp. 141 ◽  
Author(s):  
Nagaraj Malipatil ◽  
Helene A. Fachim ◽  
Kirk Siddals ◽  
Bethany Geary ◽  
Gwen Wark ◽  
...  

We investigated biological determinants that would associate with the response to a diet and weight loss programme in impaired glucose regulation (IGR) people using sequential window acquisition of all theoretical fragment ion spectra (SWATH) mass spectrometry (MS), a data acquisition method which complement traditional mass spectrometry-based proteomics techniques. Ten women and 10 men with IGR underwent anthropometric measurements and fasting blood tests. SWATH MS was carried out with subsequent immunoassay of specific peptide levels. After a six-month intervention, 40% of participants lost 3% or more in weight, 45% of patients remained within 3% of their starting weight and 15% increased their weight by 3% or more. Hemoglobin A1c (HbA1C) level was reduced with weight loss with improvements in insulin sensitivity. SWATH MS on pre-intervention samples and subsequent principal component analysis identified a cluster of proteins associated with future weight loss, including insulin-like growth factor-II (IGF-II) and Vitamin D binding protein. Individuals who lost 3% in weight had significantly higher baseline IGF-II levels than those who did not lose weight. SWATH MS successfully discriminated between individuals who were more likely to lose weight and potentially improve their sensitivity to insulin. A higher IGF-II baseline was predictive of success with weight reduction, suggesting that biological determinants are important in response to weight loss and exercise regimes. This may permit better targeting of interventions to prevent diabetes in the future.

2020 ◽  
Author(s):  
Christina Jessen-Winge ◽  
Pia Maria Ilvig ◽  
Heather Fritz ◽  
Carl J. Brandt ◽  
Kim Lee ◽  
...  

Abstract Background Currently 1.9 billion adults worldwide are estimated to be overweight or obese. In Denmark the municipalities hold the responsibility to deliver weight loss programmes to overweight and obese citizens. There has been a tendency to assume that obesity reduction programmes that work in specialized hospital settings are directly transferrable to the municipalities. However, municipality-based weight loss programmes have not produced clinically significant reductions in body weight. Differential success rates between hospital and municipal settings may be due to a discrepancy between research evidence and needs of people with obesity. The first step in developing a weight loss programme designed for the municipalities is to understand what a programme should contain, if people with obesity were asked. The aim of this study was to examine what people with obesity find important in a weight loss programme to make the weight loss successful and maintained. Methods We used a qualitative, explorative, descriptive design drawing on hermeneutical reflection with individual interviews. We included men and women age 17 and older with a BMI≥25 kg/m2. Participants were recruited from the wait lists of 13 municipality programmes and through Facebook posts. Data were analyzed using content analysis. Results Thirty-four participants with overweight or obesity were individually interviewed (age between 19 – 74). Findings suggest that weight loss programmes should support the participants in structuring days, not with restrictions but with replacement activities. Programmes should also aide individuals with taking one thing at a time and facilitating social support from friends, health professionals and peers. Diet and exercise were expressed as important content in a weight loss programme, but as having a negative meaning. Conclusion People with obesity wish to have a structured approach to weight loss that focuses on habits, social support and preserving the positive meaning of activities.


2019 ◽  
Vol 102 (5) ◽  
pp. 1339-1345 ◽  
Author(s):  
Giuseppina M Fiorino ◽  
Marion Fresch ◽  
Ina Brümmer ◽  
Ilario Losito ◽  
Marco Arlorio ◽  
...  

Abstract Background: Omics technologies have been widely applied in different fields, among which, proteomics is gaining increasing interest for its application to the authenticity of food products. MS, typically coupled with LC, represents a key technique for proteomics-related studies dedicated to fish and other seafood products by using a bottom-up approach. Objective and Methods: In this paper, the optimization of an untargeted proteomics-based method using LC separation and MS detection relying on a quadrupole time-of-flight mass spectrometer is described and applied to the analysis of Canadian farmed and wild-type salmon, followed by statistical analysis based on principal component (PC) analysis. Results and Conclusions: This untargeted approach, using a data-independent acquisition MS scheme, demonstrated the ability to effectively discriminate salmon belonging to the two classes. Furthermore, selected peptides showing high loadings on PC1 could represent potential candidate peptide markers able to discriminate farmed from wild-type salmon samples in the future.


Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3184
Author(s):  
Zhiyang Wu ◽  
Patrick Hundsdoerfer ◽  
Johannes H. Schulte ◽  
Kathy Astrahantseff ◽  
Senguel Boral ◽  
...  

Risk classification plays a crucial role in clinical management and therapy decisions in children with neuroblastoma. Risk assessment is currently based on patient criteria and molecular factors in single tumor biopsies at diagnosis. Growing evidence of extensive neuroblastoma intratumor heterogeneity drives the need for novel diagnostics to assess molecular profiles more comprehensively in spatial resolution to better predict risk for tumor progression and therapy resistance. We present a pilot study investigating the feasibility and potential of matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to identify spatial peptide heterogeneity in neuroblastoma tissues of divergent current risk classification: high versus low/intermediate risk. Univariate (receiver operating characteristic analysis) and multivariate (segmentation, principal component analysis) statistical strategies identified spatially discriminative risk-associated MALDI-based peptide signatures. The AHNAK nucleoprotein and collapsin response mediator protein 1 (CRMP1) were identified as proteins associated with these peptide signatures, and their differential expression in the neuroblastomas of divergent risk was immunohistochemically validated. This proof-of-concept study demonstrates that MALDI-MSI combined with univariate and multivariate analysis strategies can identify spatially discriminative risk-associated peptide signatures in neuroblastoma tissues. These results suggest a promising new analytical strategy improving risk classification and providing new biological insights into neuroblastoma intratumor heterogeneity.


Molecules ◽  
2019 ◽  
Vol 24 (6) ◽  
pp. 1114 ◽  
Author(s):  
Yawei Wu ◽  
Juan Xu ◽  
Yizhong He ◽  
Meiyan Shi ◽  
Xiumei Han ◽  
...  

Pitaya (Hylocereus polyrhizus) has attracted much interest from consumers as it is a novelty fruit with high nutrient content and a tolerance to drought stress. As a group of attractive pigment- and health-promoting natural compounds, betalains represent a visual feature for pitaya fruit quality. However, little information on the correlation between betalains and relevant metabolites exists so far. Currently, color (Commission International del’Eclairage, CIE) parameters, betalain contents, and untargeted metabolic profiling (gas chromatography-time-of-flight-mass spectrometry, GC–MS and liquid chromatography tandem mass spectrometry, LC–MS) have been examined on ‘Zihonglong’ fruits at nine different developmental stages, and the variation character of the metabolite contents was simultaneously investigated between peel and pulp. Furthermore, principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were used to explore metabolite profiles from the fruit samples. Our results demonstrated that the decrease of amino acid, accompanied by the increase of sugars and organic acid, might contribute to the formation of betalains. Notably, as one of four potential biomarker metabolites, citramalic acid might be related to betalain formation.


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