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Personalized Nutrition and Diagnostic Criteria, including Serum Biomarkers, for Osteosarcopenic...
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Personalized Nutrition and Diagnostic Criteria, including Serum Biomarkers, for Osteosarcopenic Obesity as a Model for Body Composition Assessment and Improvement

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 7914

Special Issue Editor

Prof. Dr. Jasminka Ilich-Ernst

E-Mail Website
Guest Editor
Institute for Successful Longevity, Florida State University, Tallahassee, FL 32306, USA
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,

As more insight is gained into and more popularity reached for personalized health, the importance of treatment personalization with nutrition becomes evident, and so does the need for more research on the topic with regard to several diseases/conditions. This Special Issue of JPM uses the osteosarcopenic obesity (OSO) syndrome as a model for exploration of nutritional approaches for OSO prevention and treatment, as well as for its diagnostic criteria, including serum biomarkers, for more accurate identification.

OSO signifies the simultaneous impairment of bone (osteopenia/osteoporosis), muscle (sarcopenia), and adipose tissue (either as overt obesity, or as ectopic fat in visceral area, or as infiltrated fat into bone and muscle). OSO has been associated with poor diet and various metabolic derangements (see Ilich et al. 2014; Kelly et al. 2019). Although some dietary recommendations for OSO have been published and some updated diagnostic criteria exist, there are no studies investigating the specific serum biomarkers to identify the simultaneous impairment of bone, muscle, and fat or each of the tissues. Additionaly, there is still no consensus for diagnosis of some of the OSO components, namely, sarcopenic obesity and obesity itself, due to the high heterogeneity of the adipose tissue (e.g., visceral, subcutaneous, ectopic—infiltrated in liver, heart, bone, muscle, as well as white, brown, and beige fat cells). Manuscripts should address the potential nutritional impact on osteosarcopenic obesity and possible diagnostic criteria for OSO, including bone, muscle/lean tissue, and/or adipose tisse. The serum biomarkers addressing any of the three tissues are of particular interest. 

Prof. Dr. Jasminka Ilich-Ernst
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Osteosarcopenic obesity and its components
  • osteopenia/osteoporosis
  • osteopenic obesity
  • sarcopenia
  • sarcopenic obesity
  • total fat
  • visceral fat
  • Nutritional impact (either bad or good)
  • Macro- and micronutrients
  • Bioactive compounds in food
  • Western-type diet
  • Serum biomarkers
  • Sclerostin, markers of bone turnover
  • Skeletal muscle troponin
  • Adipokines

Published Papers (2 papers)

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Research

14 pages, 1633 KiB  
Article
RMR-Related MAP2K6 Gene Variation on the Risk of Overweight/Obesity in Children: A 3-Year Panel Study
by Myoungsook Lee, Yunkyoung Lee, Inhae Kang, Jieun Shin and Sungbin R. Sorn
J. Pers. Med. 2021, 11(2), 91; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm11020091 - 02 Feb 2021
Cited by 7 | Viewed by 2023
Abstract
From a pilot GWAS, seven MAP2K6 (MEK6) SNPs were significantly associated with resting metabolic rate (RMR) in obese children aged 8–9 years. The aim of this study was to investigate how RMR-linked MEK6 variation affected obesity in Korean children. With the follow-up students [...] Read more.
From a pilot GWAS, seven MAP2K6 (MEK6) SNPs were significantly associated with resting metabolic rate (RMR) in obese children aged 8–9 years. The aim of this study was to investigate how RMR-linked MEK6 variation affected obesity in Korean children. With the follow-up students (77.9%) in the 3-year panel study, the changes of the variables associated with obesity (such as anthropometrics, blood biochemistry, and dietary intake) were collected. After the MEK6 SNPs were screened by Affymetrix Genome-Wide Human SNP array 6.0, the genotyping of the seven MEK6 SNPs was performed via SNaPshot assay. As the prevalence of obesity (≥85th percentile) increased from 19.4% to 25.5%, the rates of change of the variables RMR, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), and dietary intake (energy and carbohydrate intakes) increased. The rate of overweight/obesity was higher in all mutant alleles of the seven MEK6 SNPs than it was in the matched children without mutant alleles. However, over the 3-year study period, RMRs were only significantly increased by the mutants of two single nucleotide polymorphisms (SNPs), rs996229 and rs756942, mainly related to male overweight/obesity as both WC and SBP levels increased. In the mutants of two of the SNPs, the odds ratio of overweight/obesity risk was six times higher in the highest tercile of fat intake and SBP than those of the lowest tercile. For personalized medicine to prevent pediatric obesity, SBP, WC, and dietary fat intake should be observed, particularly if boys have mutants of MEK6 SNPs, rs9916229, or rs756942. Full article
(This article belongs to the Special Issue Personalized Nutrition and Diagnostic Criteria, including Serum Biomarkers, for Osteosarcopenic Obesity as a Model for Body Composition Assessment and Improvement)
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13 pages, 1146 KiB  
Article
Feasibility of a mHealth Approach to Nutrition Counseling in an Appalachian State
by Melissa D. Olfert, Makenzie L. Barr, Rebecca L. Hagedorn, Dustin M. Long, Treah S. Haggerty, Mathew Weimer, Joseph Golden, Mary Ann Maurer, Jill D. Cochran, Tracy Hendershot, Stacey L. Whanger, Jay D. Mason and Sally L. Hodder
J. Pers. Med. 2019, 9(4), 50; https://0-doi-org.brum.beds.ac.uk/10.3390/jpm9040050 - 20 Nov 2019
Cited by 5 | Viewed by 5348
Abstract
West Virginia is a rural state with an aging population that may experience barriers to accessing nutritional and lifestyle counseling. This study examined feasibility of an online personalized nutrition tracking application, Good Measures (GM), with patients at seven health care clinics throughout the [...] Read more.
West Virginia is a rural state with an aging population that may experience barriers to accessing nutritional and lifestyle counseling. This study examined feasibility of an online personalized nutrition tracking application, Good Measures (GM), with patients at seven health care clinics throughout the state. Fourteen healthcare providers and 64 patients 18 years or older with a Body Mass Index (BMI) greater than or equal to 30 and access to the Internet were recruited for this 12-week feasibility study. Patient participants logged meals and exercise into the GM application via smart phone, tablet, or computer and virtually engaged with a Registered Dietitian Nutritionist (RDN) in one-on-one sessions. The primary endpoint was to examine feasibility of the program by usage of the application and feedback questions regarding the benefits and challenges of the application. Participants were predominately white (92%) and female (76%). Minimal improvements in weight and systolic blood pressure were found. Participant attitude survey data declined from 4-weeks to 12-weeks of the intervention. Interestingly though, patients in a rural clinic had lesser declines in attitudes than peri-urban participants. Qualitative feedback data identified participants predominately had a positive overall feeling toward the approach. Participants expressed favorability of RDN access, the variety of foods, but did give suggestions for in-person meetings and more updating of the application. Implementing a technology approach to nutrition in rural areas of West Virginia using a mobile application with RDN access may be one strategy to address public health issues such as obesity. Full article
(This article belongs to the Special Issue Personalized Nutrition and Diagnostic Criteria, including Serum Biomarkers, for Osteosarcopenic Obesity as a Model for Body Composition Assessment and Improvement)
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