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. 2024 Aug 30;14(9):478.
doi: 10.3390/metabo14090478.

Sitting Interruption Modalities during Prolonged Sitting Acutely Improve Postprandial Metabolome in a Crossover Pilot Trial among Postmenopausal Women

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Sitting Interruption Modalities during Prolonged Sitting Acutely Improve Postprandial Metabolome in a Crossover Pilot Trial among Postmenopausal Women

Jeffrey S Patterson et al. Metabolites. .

Abstract

Older adults sit during most hours of the day; more than 30% are considered physically inactive. The accumulation of prolonged sitting time is an exercise-independent risk factor for aging-related conditions such as cardiometabolic disease and cancer. Archival plasma samples from a randomized controlled, four-condition crossover study conducted in 10 postmenopausal women with overweight or obesity were analyzed. During 5-hour conditions completed on separate days, the trial tested three interruption modalities: two-minute stands each 20 min (STS), hourly ten-minute standing breaks (Stand), hourly two-minute walks (Walk), and a controlled sit. Fasting baseline and 5-hour end point (2 h postprandial) samples were used for targeted metabolomic profiling. Condition-associated metabolome changes were compared using paired t-tests. STS eliminated the postprandial elevation of amino acid metabolites that was observed in the control. A norvaline derivative shown to have anti-hypertensive and -hyperglycemic effects was significantly increased during Stand and STS. Post-hoc testing identified 19 significantly different metabolites across the interventions. Tight metabolite clustering by condition was driven by amino acid, vasoactive, and sugar metabolites, as demonstrated by partial least squares-discriminant analyses. This exploratory study suggests that brief, low-intensity modalities of interrupting prolonged sitting can acutely elucidate beneficial cardiometabolic changes in postmenopausal women with cardiometabolic risk.

Keywords: 5-hydroxynorvaline; aging; anserine; aspartate; blood flow; endothelial function; glycemic control; postprandial metabolism; raffinose; sedentary behavior.

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Conflict of interest statement

The authors declare no conflicts.

Figures

Figure 1
Figure 1
Schematic overview of clinic visits (A) and study protocol (B). Image adapted from figure shown in parent study paper [17].
Figure 2
Figure 2
Heatmap of condition-averaged metabolites that were significantly different between postprandial conditions (p < 0.05). The display demonstrates normalized relative increases and decreases in abundance between and within conditions in postmenopausal women. N = 10 for the Control, Stand, and Walk conditions; N = 9 for the STS condition.
Figure 3
Figure 3
Mean average box plots of 5-hydroxynorvaline and raffinose across all conditions by post/pre-condition ratio of relative abundance. Black dots represent participant post/pre-condition ratio and yellow diamonds denote mean ratio relative abundance of each condition. N = 10 for the Control, Stand, and Walk conditions; N = 9 for the STS condition.
Figure 4
Figure 4
Pathway enrichment analysis of the three interrupted sitting conditions against the controlled sit. Data are plotted as −log10(p) versus pathway impact and darker color represent greater significant differences. N = 10 for the Control vs. Stand and Control vs. Walk conditions; N = 9 for the Control vs. STS condition.
Figure 5
Figure 5
Enzyme enrichment analysis of the three sitting interruption conditions compared to the Control condition. N = 10 for the Control vs. Stand and Control vs. Walk conditions; N = 9 for the Control vs. STS condition.
Figure 6
Figure 6
Orthogonal partial least squares-discriminant analysis (OPLS-DA) score plots (A) and variable importance projection (VIP) scores (B). A. OPLS-DA plots indicate discrete condition-specific postprandial metabolomes. B. VIP score-ranked metabolites indicate the most influential metabolites distinguishing the interrupted sitting modality from the Control in the OPLS-DA models. N = 10 for the Control vs. Stand and Control vs. Walk conditions; N = 9 for the Control vs. STS condition.

References

    1. Mayo Clinic Health System Learn More about Menopause. [(accessed on 20 March 2024)]. Available online: https://www.mayoclinichealthsystem.org/hometown-health/speaking-of-healt....
    1. De Rezende L.F.M., Rey-López J.P., Matsudo V.K.R., Luiz O.D.C. Sedentary behavior and health outcomes among older adults: A systematic review. BMC Public Health. 2014;14:333. doi: 10.1186/1471-2458-14-333. - DOI - PMC - PubMed
    1. Henson J., Davies M.J., Bodicoat D.H., Edwardson C.L., Gill J.M.R., Stensel D.J., Tolfrey K., Dunstan D.W., Khunti K., Yates T. Breaking Up Prolonged Sitting with Standing or Walking Attenuates the Postprandial Metabolic Response in Postmenopausal Women: A Randomized Acute Study. Diabetes Care. 2016;39:130–138. doi: 10.2337/dc15-1240. - DOI - PubMed
    1. Ekelund U., Brown W.J., Steene-Johannessen J., Fagerland M.W., Owen N., Powell K.E., Bauman A.E., Lee I.M. Do the associations of sedentary behaviour with cardiovascular disease mortality and cancer mortality differ by physical activity level? A systematic review and harmonised meta-analysis of data from 850,060 participants. Br. J. Sports Med. 2019;53:886–894. doi: 10.1136/bjsports-2017-098963. - DOI - PubMed
    1. Patterson R., McNamara E., Tainio M., de Sá T.H., Smith A.D., Sharp S.J., Edwards P., Woodcock J., Brage S. Wijndaele. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: A systematic review and dose response meta-analysis. Eur. J. Epidemiol. 2018;33:811–829. doi: 10.1007/s10654-018-0380-1. - DOI - PMC - PubMed

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