Cargando…

Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study

Caloric restriction and aerobic and resistance exercise are safe and effective lifestyle interventions for achieving weight loss in the obese older population (>65 years) and may improve physical function and quality of life. However, individual responses are heterogeneous. Our goal was to explor...

Descripción completa

Detalles Bibliográficos
Autores principales: Lynch, David H., Rushing, Blake R., Pathmasiri, Wimal, McRitchie, Susan, Batchek, Dakota J., Petersen, Curtis L., Gross, Danae C., Sumner, Susan C. J., Batsis, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385260/
https://www.ncbi.nlm.nih.gov/pubmed/37512560
http://dx.doi.org/10.3390/metabo13070853
_version_ 1785081361901551616
author Lynch, David H.
Rushing, Blake R.
Pathmasiri, Wimal
McRitchie, Susan
Batchek, Dakota J.
Petersen, Curtis L.
Gross, Danae C.
Sumner, Susan C. J.
Batsis, John A.
author_facet Lynch, David H.
Rushing, Blake R.
Pathmasiri, Wimal
McRitchie, Susan
Batchek, Dakota J.
Petersen, Curtis L.
Gross, Danae C.
Sumner, Susan C. J.
Batsis, John A.
author_sort Lynch, David H.
collection PubMed
description Caloric restriction and aerobic and resistance exercise are safe and effective lifestyle interventions for achieving weight loss in the obese older population (>65 years) and may improve physical function and quality of life. However, individual responses are heterogeneous. Our goal was to explore the use of untargeted metabolomics to identify metabolic phenotypes associated with achieving weight loss after a multi-component weight loss intervention. Forty-two older adults with obesity (body mass index, BMI, ≥30 kg/m(2)) participated in a six-month telehealth-based weight loss intervention. Each received weekly dietitian visits and twice-weekly physical therapist-led group strength training classes with a prescription for aerobic exercise. We categorized responders’ weight loss using a 5% loss of initial body weight as a cutoff. Baseline serum samples were analyzed to determine the variable importance to the projection (VIP) of signals that differentiated the responder status of metabolic profiles. Pathway enrichment analysis was conducted in Metaboanalyst. Baseline data did not differ significantly. Weight loss was 7.2 ± 2.5 kg for the 22 responders, and 2.0 ± 2.0 kg for the 20 non-responders. Mummichog pathway enrichment analysis revealed that perturbations were most significant for caffeine and caffeine-related metabolism (p = 0.00028). Caffeine and related metabolites, which were all increased in responders, included 1,3,7-trimethylxanthine (VIP = 2.0, p = 0.033, fold change (FC) = 1.9), theophylline (VIP = 2.0, p = 0.024, FC = 1.8), paraxanthine (VIP = 2.0, p = 0.028, FC = 1.8), 1-methylxanthine (VIP = 1.9, p = 0.023, FC = 2.2), 5-acetylamino-6-amino-3-methyluracil (VIP = 2.2, p = 0.025, FC = 2.2), 1,3-dimethyl uric acid (VIP = 2.1, p = 0.023, FC = 2.3), and 1,7-dimethyl uric acid (VIP = 2.0, p = 0.035, FC = 2.2). Increased levels of phytochemicals and microbiome-related metabolites were also found in responders compared to non-responders. In this pilot weight loss intervention, older adults with obesity and evidence of significant enrichment for caffeine metabolism were more likely to achieve ≥5% weight loss. Further studies are needed to examine these associations in prospective cohorts and larger randomized trials.
format Online
Article
Text
id pubmed-10385260
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103852602023-07-30 Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study Lynch, David H. Rushing, Blake R. Pathmasiri, Wimal McRitchie, Susan Batchek, Dakota J. Petersen, Curtis L. Gross, Danae C. Sumner, Susan C. J. Batsis, John A. Metabolites Article Caloric restriction and aerobic and resistance exercise are safe and effective lifestyle interventions for achieving weight loss in the obese older population (>65 years) and may improve physical function and quality of life. However, individual responses are heterogeneous. Our goal was to explore the use of untargeted metabolomics to identify metabolic phenotypes associated with achieving weight loss after a multi-component weight loss intervention. Forty-two older adults with obesity (body mass index, BMI, ≥30 kg/m(2)) participated in a six-month telehealth-based weight loss intervention. Each received weekly dietitian visits and twice-weekly physical therapist-led group strength training classes with a prescription for aerobic exercise. We categorized responders’ weight loss using a 5% loss of initial body weight as a cutoff. Baseline serum samples were analyzed to determine the variable importance to the projection (VIP) of signals that differentiated the responder status of metabolic profiles. Pathway enrichment analysis was conducted in Metaboanalyst. Baseline data did not differ significantly. Weight loss was 7.2 ± 2.5 kg for the 22 responders, and 2.0 ± 2.0 kg for the 20 non-responders. Mummichog pathway enrichment analysis revealed that perturbations were most significant for caffeine and caffeine-related metabolism (p = 0.00028). Caffeine and related metabolites, which were all increased in responders, included 1,3,7-trimethylxanthine (VIP = 2.0, p = 0.033, fold change (FC) = 1.9), theophylline (VIP = 2.0, p = 0.024, FC = 1.8), paraxanthine (VIP = 2.0, p = 0.028, FC = 1.8), 1-methylxanthine (VIP = 1.9, p = 0.023, FC = 2.2), 5-acetylamino-6-amino-3-methyluracil (VIP = 2.2, p = 0.025, FC = 2.2), 1,3-dimethyl uric acid (VIP = 2.1, p = 0.023, FC = 2.3), and 1,7-dimethyl uric acid (VIP = 2.0, p = 0.035, FC = 2.2). Increased levels of phytochemicals and microbiome-related metabolites were also found in responders compared to non-responders. In this pilot weight loss intervention, older adults with obesity and evidence of significant enrichment for caffeine metabolism were more likely to achieve ≥5% weight loss. Further studies are needed to examine these associations in prospective cohorts and larger randomized trials. MDPI 2023-07-17 /pmc/articles/PMC10385260/ /pubmed/37512560 http://dx.doi.org/10.3390/metabo13070853 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lynch, David H.
Rushing, Blake R.
Pathmasiri, Wimal
McRitchie, Susan
Batchek, Dakota J.
Petersen, Curtis L.
Gross, Danae C.
Sumner, Susan C. J.
Batsis, John A.
Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study
title Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study
title_full Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study
title_fullStr Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study
title_full_unstemmed Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study
title_short Baseline Serum Biomarkers Predict Response to a Weight Loss Intervention in Older Adults with Obesity: A Pilot Study
title_sort baseline serum biomarkers predict response to a weight loss intervention in older adults with obesity: a pilot study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385260/
https://www.ncbi.nlm.nih.gov/pubmed/37512560
http://dx.doi.org/10.3390/metabo13070853
work_keys_str_mv AT lynchdavidh baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT rushingblaker baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT pathmasiriwimal baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT mcritchiesusan baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT batchekdakotaj baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT petersencurtisl baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT grossdanaec baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT sumnersusancj baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy
AT batsisjohna baselineserumbiomarkerspredictresponsetoaweightlossinterventioninolderadultswithobesityapilotstudy