Exploring Metabolomics and Other Biomarkers for Osteosarcopenic Adiposity Detection, Prevention and Management
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 1570
Special Issue Editor
Interests: nutrition; bone and body composition; osteosarcopenic adiposity syndrome; nutrition in chronic stress and low-grade chronic inflammation; precision nutrition in health and disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Osteosarcopenic adiposity (OSA) syndrome, originally known as osteosarcopenic obesity (OSO), was identified in 2014. It is the most advanced stage on the spectrum of body composition disorders and includes simultaneous deterioration of bone (osteopenia/osteoporosis) and muscle (sarcopenia/dynapenia) with an increased presence of body fat (adipose tissue). Body fat may be manifested as an apparent overweight/obesity or as redistributed fat around organ tissues (visceral) and/or as infiltrated fat (ectopic) into bone, muscle and/or other organs. Since its conception, OSA has been studied across the world in diverse populations and with different methods/techniques and cutoff criteria used for its identification. However, there is no consensus on the methodology or diagnostic criteria, and many uncertainties still exist regarding its prevalence, management, and treatment. Therefore, the purpose of this Special Issue is to bring more insight into the metabolic nature of OSA by investigating the following:
- Biomarkers for each tissue (bone, muscle, adipose) which, in combination, may indicate the existing impairments and presence of OSA, possibly discovering/identifying or proposing the series of omics.
- In view of recent technological advances, such as genomic sequencing and molecular targeted drug exploitation, the concept of precision medicine can be used to demarcate OSA using multiple data sources from genomics to digital health metrics to artificial intelligence in order to facilitate an individualized yet “evidence-based” decisions regarding diagnostic and therapeutic approaches. In this way, therapeutics can be centered toward patients based on their molecular presentation rather than grouping them into broad categories with a “one size fits all” approach.
- Any type of review or research article is welcome.
You may choose our Joint Special Issue in JPM.
Prof. Dr. Jasminka Ilich-Ernst
Guest Editor
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Keywords
- bone
- muscle
- adipose tissue
- osteosarcopenic adiposity
- nutrition, physical activity, and lifestyle habits influencing body composition
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