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  • Ovid Technologies (Wolters Kluwer Health)  (14)
  • Mi, Michael  (14)
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  • Ovid Technologies (Wolters Kluwer Health)  (14)
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  • 1
    Online Resource
    Online Resource
    Associations Between Changes In Plasma Proteins And Body Composition Traits In Response To Endurance Training : 758
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Medicine & Science in Sports & Exercise Vol. 54, No. 9S ( 2022-9), p. 181-181
    Details
    In: Medicine & Science in Sports & Exercise, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. 9S ( 2022-9), p. 181-181
    Type of Medium: Online Resource
    ISSN: 1530-0315 , 0195-9131
    URL: Article
    DOI: 10.1249/01.mss.0000877312.49396.42
    RVK:
    ZX 1000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2031167-9
    SSG: 31
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  • 2
    Online Resource
    Online Resource
    Abstract P205: Association of Angptl3/8 and 4/8 With Plasma Metabolites Before and After Exercise Training
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Circulation Vol. 147, No. Suppl_1 ( 2023-02-28)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 147, No. Suppl_1 ( 2023-02-28)
    Abstract: Introduction: Angiopoietin like protein (ANGPTL) complexes 3/8 and 4/8 are established inhibitors of lipoprotein lipase and modifiable by regular exercise. However, the molecular underpinning of these novel biomarkers has not been fully elucidated. The purpose of this study was to examine the associations between plasma metabolites and ANGPTL3/8 and 4/8 before and after exercise training. Methods: Measurements were taken before and after 20 weeks of exercise training in 630 adults (36% Black, 56% women, mean age 35 yrs) of the HERITAGE Family Study. Meso Scale Discovery immunoassays were used to measure ANGPTL3/8 and 4/8 in serum. Plasma metabolites (n=300 named) were measured using LC-MS and the HILIC-pos method. Linear mixed models tested the association between metabolites and each trait at baseline and post-training with full covariate adjustment. Significance was set to FDR 〈 0.05. Results: A total of 111 and 93 metabolites were significantly associated with ANGPTL3/8 at baseline or post-training, respectively ( Figure 1A ). A total of 69 metabolites were associated with ANGPTL3/8 at both time points, including ketone bodies, acylcarnitines, and DMGV, while 24 metabolites were only associated at post-training including citric acid, methionine, and glycine. A total of 89 and 40 metabolites were significantly associated with ANGPTL4/8 at baseline or post-training, respectively ( Figure 1B ). A total of 13 metabolites were associated with ANGPTL4/8 at both time points including glycine and lysophospholipids, whereas 27 metabolites were associated only at post-training including hydroxyproline, N-Lignoceroyl Taurine, and methylguanidine. Conclusions: We identified several plasma metabolites associated with ANGPTL3/8 and 4/8 before and after exercise training. Our findings indicate potential metabolic pathways related to the exercise responsiveness of ANGPTL3/8 and 4/8, including glucose-alanine cycle, urea cycle, and glycine and methionine metabolism.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.147.suppl_1.P205
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 1466401-X
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  • 3
    Online Resource
    Online Resource
    Abstract 13353: Association of Plasma Metabolites With Inflammatory Markers CRP and GlycA and Their Responses to Exercise Training
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: Introduction. C-reactive protein (CRP) and GlycA are established biomarkers of inflammation. Regular exercise tends to decrease CRP and GlycA levels. However, the spectrum of molecules associated with the anti-inflammatory effects of regular exercise are less well understood. Hypothesis. We hypothesized that distinct metabolite signatures exist for both baseline levels and exercise responsiveness of CRP and GlycA. Methods. Measures were performed before and after 20 weeks of endurance exercise training in 652 Black and White adults from the HERITAGE Family Study. A total of 300 targeted plasma metabolites were measured using LC-MS. High-sensitivity CRP and GlycA were measured using automated assays and NMR spectroscopy (LabCorp), respectively. Linear mixed models were used to test: 1) Association of baseline metabolites with baseline hsCRP and GlycA and 2) Association of changes in metabolite with changes in hsCRP and GlycA. Models were adjusted for age, sex, race, BMI, with family membership as a random variable, with change models also adjusting for baseline trait value. Significance was determined as FDR 〈 0.05. Results. Baseline levels and changes of hsCRP and GlycA were moderately correlated (r=0.51 and 0.31, p 〈 0.0001 for both, respectively). At baseline, 40 and 94 metabolites were associated with hsCRP and GlycA, respectively, with 30 metabolites associated with both phenotypes. The top baseline associations for both traits included multiple species of lysophosphatidylcholine (LPC) and phosphatidylethanolamine (PE), while cortisol, biliverdin, and bilirubin were among the metabolites associated with GlycA only. The changes in only one metabolite were associated with concomitant changes in CRP, while no associations were found for change in GlycA. Conclusions. Plasma metabolite associations with baseline hsCRP overlapped with those associated with baseline GlycA levels. Several unique metabolite associations with baseline GlycA were identified, including molecules in established inflammatory pathways. Metabolite changes with exercise were not associated with changes in either measure. These findings have implications for the use of metabolites as signatures of systemic inflammation vs as targets of lifestyle interventions.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.13353
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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  • 4
    Online Resource
    Online Resource
    Abstract 15399: Proteomic Landscape of Plasma Lipoprotein Responses to Regular Exercise
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: Introduction: Lipoproteins are among the strongest predictors of CVD and are altered through regular exercise. However, the molecular changes underlying the potential benefits of exercise on plasma lipoproteins are unclear. Methods: Proteins (n=4979) were quantified from the plasma of 647 Black and White adults (56% women, mean age = 34.9 yrs) before and after 20-weeks of endurance exercise training using SomaScan. All subjects had complete data for 7 lipoprotein traits that improved with training: HDL-C, TG, large TG rich lipoprotein particles (LTRLP), small LDL particles (SLDLP), large HDL particles (LHDLP), TRLP size, and LDLP size. Fully adjusted linear mixed models were used to test the association of 1) baseline proteins with baseline lipoproteins and 2) delta proteins with delta lipoproteins (delta = post training - baseline value). Significance was determined as FDR 〈 0.05. Results: We identified numerous proteins associated with baseline levels of at least one of the seven lipoprotein traits (range: 48-1099) and whose changes in response to regular exercise were associated with concomitant changes in lipoproteins (range: 4-95) ( Table 1 ). Substantial overlap was found between proteins associated with lipoproteins across timepoints, with 16 proteins associated with 4 or more lipoprotein traits at both timepoints. Plasma abundance of 12/16 proteins significantly changed with training (FDR 〈 0.05). Additionally, for these proteins plasma abundance changed in concordance with the beneficial direction of the associated lipoprotein trait (e.g., proteins associated with atheroprotective lipoprotein traits increased with training and proteins associated with atherogenic traits decreased). Conclusions: Beneficial alterations to plasma lipoproteins with regular exercise are reflected in changes to the plasma proteome. Proteins identified here may represent novel markers of the benefits of regular exercise and of systemic lipoprotein metabolism.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.15399
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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  • 5
    Online Resource
    Online Resource
    Genetically-estimated Telomere Length Weakly Associates With Body Composition And Metabolic Profiles But Not Cardiorespiratory Fitness : 657
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Medicine & Science in Sports & Exercise Vol. 54, No. 9S ( 2022-9), p. 163-163
    Details
    In: Medicine & Science in Sports & Exercise, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. 9S ( 2022-9), p. 163-163
    Type of Medium: Online Resource
    ISSN: 1530-0315 , 0195-9131
    URL: Article
    DOI: 10.1249/01.mss.0000877076.39031.1c
    RVK:
    ZX 1000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2031167-9
    SSG: 31
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  • 6
    Online Resource
    Online Resource
    EXERCISE TRAINING-INDUCED CHANGES IN LIPID TRAITS ARE ASSOCIATED WITH CHANGES IN CIRCULATING PROTEINS AND METABOLITES : 1005
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Medicine & Science in Sports & Exercise Vol. 54, No. 9S ( 2022-9), p. 250-251
    Details
    In: Medicine & Science in Sports & Exercise, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. 9S ( 2022-9), p. 250-251
    Type of Medium: Online Resource
    ISSN: 1530-0315 , 0195-9131
    URL: Article
    DOI: 10.1249/01.mss.0000878156.71301.7f
    RVK:
    ZX 1000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 2031167-9
    SSG: 31
    Location Call Number Limitation Availability
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  • 7
    Online Resource
    Online Resource
    Abstract 13514: Associations Between Plasma Metabolites With Body Composition Traits and Their Responses to Exercise Training
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: INTRODUCTION: Although exercise training can improve body composition, the molecular biomarkers and mechanisms related to these changes have not been fully elucidated. HYPOTHESIS: We hypothesized that distinct metabolite signatures exist for both baseline levels and exercise responsiveness of body composition traits, with substantial overlap across traits. METHODS: Measurements were taken before and after 20 weeks of endurance training in self-identified Black and White adults of the HERITAGE Family Study (n=652). 300 targeted plasma metabolites were measured using LC-MS. Underwater weighing, CT scans, and anthropometric measurements were used to derive the 11 body composition traits included in this study: BMI, body surface area, fat mass, fat free mass, %fat, waist circumference, waist-to-hip ratio, body weight, and abdominal visceral, subcutaneous, and total fat. Linear mixed models were used to test the association between plasma metabolites and each body composition trait at baseline and in response to training with full covariate adjustment. Significance was set to FDR 〈 0.05. Results: On average, subjects were [mean and (SD)] 35 (14) years old, 33% Black, 54% female, and had BMI of 26.2 (5.2) kg/m 2 . The number of metabolites significantly associated with body composition traits at baseline ranged from 57-141 ( Table 1 ). DMGV was among the top 3 associated metabolites at baseline for all 11 traits, while SM(d18:1/16:1) was associated with 8 of 11 baseline traits. Few if any significant associations were found between change in metabolites and change in body composition measures in response to exercise training (range: 0-10) ( Table 1 ). CONCLUSIONS: Although numerous metabolites were associated with body composition traits at baseline, few associations were observed with trait responses to training. These results suggest that intrinsic body composition and its response to exercise training may have differing underlying metabolic signatures.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.13514
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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  • 8
    Online Resource
    Online Resource
    Abstract 15168: Plasma Metabolomic Profiling Identifies Markers of Cardiorespiratory Fitness Responsive to Endurance Exercise Training
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 146, No. Suppl_1 ( 2022-11-08)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
    Abstract: Background: High-throughput metabolite profiling allows for the assessment of thousands of metabolites that may participate in exercise-related pathways. Here, we characterize plasma metabolite changes in healthy individuals undergoing endurance exercise training (ET) to identify biochemical features of VO 2 max and/or those responsive to ET. Methods: We measured 444 known metabolites and 3221 non-targeted metabolite peaks using liquid chromatography tandem mass spectrometry and VO 2 max using CPET before and after 20 weeks of supervised, endurance ET in 654 sedentary participants (mean age=34y; 39% self-identified Black) from the HERITAGE Study. Multivariate linear regression assessed the relation between metabolites and baseline VO 2 max (ml·kg –1 ·min –1 ), adjusting for age, sex, and race. Changes after ET were determined using paired t tests. We used a false discovery rate (q) 〈 0.05 to determine statistical significance. Results: 494 metabolites were associated with VO 2 max, the majority (375/494) of which were non-targeted (unknown) metabolites with greater effect sizes than targeted peaks [β range: -29.66 - 17.80 and -22.76 - 12.87 for unknown and known metabolites]. We recapitulated known metabolite associations with VO 2 max including DMGV, branched chain amino acids, and uric acid ( Figure 1 ). 110 of 560 metabolites that changed after ET were associated with VO 2 max, including non-targeted peaks that concordantly changed after ET (e.g. metabolite peaks positively associated with VO 2 max that increased with ET; m/z 385.3056 and 695.5086; β for VO 2 max = 9.82 and -19.33, q= 5.56e-7 and 2.61e-17, and log fold-change = 0.03 and -0.01, q=9.58e-13 and 1.93e-4, respectively). Conclusions: We identified novel metabolite peaks associated with VO 2 max that concordantly changed after ET. Non-targeted metabolomic profiling reveals new markers related to VO 2 max and exercise response, motivating ongoing work to unambiguously identify these compounds.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.146.suppl_1.15168
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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  • 9
    Online Resource
    Online Resource
    Abstract P204: Association Of Plasma Proteome With Inflammatory Markers Crp And Glyca And Their Responses To Exercise Training
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 145, No. Suppl_1 ( 2022-03)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 145, No. Suppl_1 ( 2022-03)
    Abstract: Introduction: C-reactive protein (CRP) and GlycA are established biomarkers of inflammation. Regular exercise tends to decrease CRP and GlycA levels. However, the molecules underlying CRP and GlycA and their responses to exercise training are less known. Hypothesis: We hypothesized that distinct protein signatures exist for both baseline levels and exercise responsiveness of CRP and GlycA, however with some overlap of proteins across signatures. Methods: Measures were performed before and after 20 weeks of exercise training in 652 Black and White adults from the HERITAGE Family Study. 4,979 circulating proteins were measured using SomaScan. High-sensitivity CRP was measured using automated assays. GlycA was quantified by NMR spectroscopy (LabCorp). Linear mixed models were used to test: 1) Association of baseline proteins with baseline hsCRP and GlycA and 2) Association of change in protein with changes in hsCRP and GlycA. Models were adjusted for age, sex, race, BMI, with family membership as a random variable, with change models also adjusting for baseline trait value. Significance was determined as FDR 〈 0.05. Results: Baseline levels (r=0.51, p 〈 0.0001) and change (r=0.31, p 〈 0.0001) of hsCRP and GlycA were moderately correlated. hsCRP did not change with training, while GlycA trended towards decreasing (Table 1). Across time points, 388 and 1746 unique proteins were associated with hsCRP and GlycA, respectively, with substantial overlap across traits and time points (Table 1). The CRP protein was the top association in 3 of 4 models (range: 1.4x10 -40 〈 p 〈 1.2x10 -08 ), with serum amyloid A-2 and A-1 (SAA2, SAA) among the top 6 hits for 3 of 4 models (Table 1). Conclusions: More unique proteins were associated with GlycA levels at both timepoints, with most hsCRP proteins overlapping with GlycA proteins. Overall, a substantial number of proteins are associated with CRP and GlycA levels regardless of when they are measured, which has potential implications for using proteins as signatures of these inflammatory biomarkers.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.145.suppl_1.P204
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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  • 10
    Online Resource
    Online Resource
    Abstract P206: Proteomic And Metabolomic Signatures Of Plasma Triglyceride-related Trait Responses To Regular Exercise
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Circulation Vol. 145, No. Suppl_1 ( 2022-03)
    Details
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 145, No. Suppl_1 ( 2022-03)
    Abstract: Introduction: Elevated plasma triglycerides (TG) are associated with risk of cardiovascular disease and are modifiable through lifestyle interventions such as regular exercise. However, TG responses to regular exercise are characterized by significant inter-individual differences. Hypothesis: We hypothesized that baseline levels of circulating proteins and metabolites are associated with TG response to exercise and can predict exercise-induced changes in plasma TG traits. Methods: We measured circulating proteins (n=4979 proteins) and metabolites (n=300) in 650 Black and White adults of the HERITAGE Family Study who completed 20 weeks of exercise training and had complete data on TG traits. We investigated two TG-related traits that significantly improved with training: fasting TG and large TG-rich lipoprotein particle concentration (LTRLP). The association between baseline analyte values and exercise-induced changes in TG traits were examined using linear mixed models adjusted for age, sex, race, BMI, baseline trait value, and the random effect of family membership. Significance was determined as FDR 〈 0.05. Molecular signatures of TG trait responses were generated via elastic net regression tuned using leave-one-out cross validation. Results: Regular exercise significantly reduced plasma TG (-1.03±1.3 mmol/L, p=0.01) and LTRLP (-0.24±2.2 nmol/L, p= 0.007), with their training-induced changes moderately correlated (r=0.4, p 〈 0.0001). We identified largely distinct panels of baseline analytes associated with changes in TG and LTRLP ( Table 1 ). Similarly, elastic net regression yielded distinct models of 99 analytes for TG and 315 analytes for LTRLP responses to exercise with accuracy of RMSE=1.28 mmol/L for TG and 2.16 nmol/L for the LTRLP model. Conclusions: We identified panels of proteins and metabolites associated with exercise-induced changes in TG traits and demonstrate, within our data, circulating analytes hold promise for predicting the exercise responsiveness of plasma TG-related traits.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    URL: Article
    DOI: 10.1161/circ.145.suppl_1.P206
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
    detail.hit.zdb_id: 1466401-X
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