"Metabolites" as Metabolomics for Neuropsychiatric Diseases

Topic Information

Dear Colleagues,

The diagnosis of psychiatric disorders is based solely on symptoms, and a lack of understanding of the molecular pathogenesis is a major challenge that must be overcome in the future. Furthermore, drug treatment guidelines use a one-size-fits-all approach to treat each disorder, despite the known heterogeneity of clinical symptoms and prognosis of psychiatric disorders. The limited effectiveness of treatment emphasizes the need for precision medicine in psychiatry and is referred to as precision psychiatry. To practice precision psychiatry, it is essential to research and develop multiple omics-based biomarkers to accurately determine phenotypes. Metabolomics, the endpoint of the omics cascade, detects changes in metabolites at the systems level of biological pathways, thereby providing insight into the mechanisms underlying various physiological states and pathological conditions. Metabolomics is a promising tool for precision psychiatry and holds great promise for both biomarker discovery and the elucidation of molecular mechanisms underlying psychiatric disorders.

Prof. Dr. Reiji Yoshimura
Prof. Dr. Hiroshi Kunugi
Dr. Takahiro Kato
Dr. Naomichi Okamoto
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
BioChem biochem	-	-	2021	21.7 Days	CHF 1000
Biology biology	3.6	5.7	2012	16.4 Days	CHF 2700
Biomolecules biomolecules	4.8	9.4	2011	18.4 Days	CHF 2700
Journal of Developmental Biology jdb	2.2	4.1	2013	20.3 Days	CHF 1800
Metabolites metabolites	3.5	5.7	2011	16.1 Days	CHF 2700

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Open AccessArticle

Metabolically Healthy Obesity Is a Misnomer: Components of the Metabolic Syndrome Linearly Increase with BMI as a Function of Age and Gender

by Yonit Marcus, Elad Segev, Gabi Shefer, David Eilam, Galina Shenkerman, Assaf Buch, Shani Shenhar-Tsarfaty, David Zeltser, Itzhak Shapira, Shlomo Berliner and Ori Rogowski

Biology 2023, 12(5), 719; https://doi.org/10.3390/biology12050719 - 15 May 2023

Cited by 7 | Viewed by 5153

Abstract

Objectives: We aimed to examine the relationships between body mass index (BMI) and metabolic syndrome (MS) components as a function of age and gender across weight categories. Methods: This cross-sectional study included 19,328 subjects who participated in a health-screening program. We analyzed 14,093 [...] Read more.

Objectives: We aimed to examine the relationships between body mass index (BMI) and metabolic syndrome (MS) components as a function of age and gender across weight categories. Methods: This cross-sectional study included 19,328 subjects who participated in a health-screening program. We analyzed 14,093 apparently healthy subjects with a BMI ≥ 18.5 kg/m² (ranging from 18.5 to 46 kg/m²). Results: At a BMI of 18.5 kg/m², 16% of subjects had one or more MS components (MS ≥ 1). The number of MS components increased linearly with BMI. The most prevalent components for MS1-4 were hypertension (in men) and increased waist circumference (in women). Among 6391 non-obese subjects with MS = 0, there was a linear increase in blood pressure, glucose, and triglycerides, as well as a decline in high-density lipoprotein cholesterol, as BMI increased. In 2087 subjects with a BMI ≥ 30 kg/m², a true normometabolic state (MS = 0) was observed in only 7.5%, declining to less than 1% at a BMI ≥ 36 kg/m² (ATP criteria). Women were metabolically protected relative to men between the ages of 30 and 50 years. Conclusions: (A) MS components increase linearly with BMI from the lowest normal BMI and continue to increase with age and BMI; (B) metabolically healthy obesity is rare in subjects with a high BMI and declines with age; (C) hypertension is the most common component in men; and (D) in women, MS components are seen at older ages than in men for the same BMI. Metabolic health declines with age and BMI in nearly all subjects with obesity. Full article

(This article belongs to the Topic "Metabolites" as Metabolomics for Neuropsychiatric Diseases)

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