Use of Reverse Correlation to Reveal Body Image Disturbance Association with Orthorexia Nervosa

Pauzé, Adrianne; Plouffe-Demers, Marie-Pier; Goulet, Justine; Furumoto-Deshaies, Hana; Fiset, Daniel; Saint-Amour, Dave; Cyr, Caroline; Blais, Caroline

doi:10.1167/jov.20.11.238

Cited by 2 publications

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“…Appearance-induced depression is often accompanied by negative personality traits, including lower self-esteem, higher self-exclusion, and shame (Graboyes et al 2020 ). Those individuals with high levels of depression often choose escapism in response to social demands, since social encounters prompt feelings of conversation anxiety and social avoidance (Pauzé et al 2020 ).…”

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confidence: 99%

Untargeted metabolomic analysis of metabolites related to body dysmorphic disorder (BDD)

Wang

Huang

2023

Funct Integr Genomics

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Body dysmorphic disorder (BDD) is a disorder associated with depression and eating disorders. It often arises from minor defects in appearance or an individual imagining that he or she is defective. However, the mechanisms causing BDD remain unclear, and its pathogenesis and adjuvant treatment methods still need to be explored. Here, we employed a liquid chromatography-mass spectrometry (LC–MS)-based metabolomics approach to identify key metabolic differences in BDD versus healthy patients. We obtained plasma samples from two independent cohorts (including eight BDD patients and eight healthy control patients). Raw data were analyzed using Compound Discoverer to determine peak alignment, retention time correction, and extraction of peak areas. Metabolite structure identification was also obtained using Compound Discoverer by of accurate mass matching (< 10 ppm) and secondary spectral matching queries of compound databases. Next, multidimensional statistical analyses were performed using the ropls R package. These analyses included: unsupervised principal component analysis, supervised partial Least-Squares Discriminant Analysis, and orthogonal partial Least-Squares Discriminant Analysis. We then identified the most promising metabolic signatures associated with BDD across all metabolomic datasets. Principal component analysis showed changes in small-molecule metabolites in patients, and we also found significant differences in metabolite abundance between the BDD and normal groups. Our findings suggest that the occurrence of BDD may be related to metabolites participating in the following KEGG pathways: ABC transporters, purine metabolism, glycine, serine and threonine metabolism, pyrimidine, pyrimidine metabolism, biosynthesis of 12-, 14-, and 16-membered macrolides, microbial metabolism in diverse environments, biosynthesis of secondary metabolites, and caffeine and insect hormone biosynthesis.

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Section: Introductionmentioning

confidence: 99%

Untargeted metabolomic analysis of metabolites related to body dysmorphic disorder (BDD)

Wang

Huang

2023

Funct Integr Genomics

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Untargeted Metabolomics of Body Dysmorphic Disorder

Wang

Huang

2022

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BDD (Body Dysmorphic Disorder) is a disorder associated with depression and eating disorders, often arising from minor defects in appearance or an individual's imagining that he or she is defective. However, the pathogenesis and mechanism of BDD are not clear, and its pathogenesis and adjuvant treatment methods still need to be explored. We employed an liquid chromatography-mass spectrometry (LC-MS)-based metabolomics approach to identify key metabolic differences in BDD. Plasma samples from 2 independent cohorts (8 BDD patients and 8 healthy controls) were collected to characterize metabolic changes in BDD patients. The raw data were subjected to the Compound Discovery program for peak alignment, retention time correction, and extraction of peak areas. Metabolite structure identification was performed using the Compound Discovery program by means of accurate mass matching (<10ppm) and secondary spectral matching to search the database. Multidimensional statistical analysis was performed using the R statistical software ropls tool, including unsupervised PCA (principal component analysis) analysis, supervised PLS-DA (partial least squares discriminant analysis) and OPLS-DA (orthogonal partial least squares discriminant analysis). Identify the most promising metabolic signatures associated with BDD across all metabolomic datasets. Occurrence of BDD may be related to ABC transporters, purine metabolism, Glycine, serine and threonine metabolism, Pyrimidine, Pyrimidine metabolism, Biosynthesis of 12-, 14- and 16-membered macrolides, microbial metabolism in diverse environments, Biosynthesis of secondary metabolites, Caffeine and Insect hormone biosynthesis.

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Use of Reverse Correlation to Reveal Body Image Disturbance Association with Orthorexia Nervosa

Cited by 2 publications

References 0 publications

Untargeted metabolomic analysis of metabolites related to body dysmorphic disorder (BDD)

Untargeted metabolomic analysis of metabolites related to body dysmorphic disorder (BDD)

Untargeted Metabolomics of Body Dysmorphic Disorder

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