Metabolomics identifies increases in the acylcarnitine profiles in the plasma of overweight subjects in response to mild weight loss: a randomized, controlled design study

Kang, Miso; Yoo, Hye Jin; Kim, Minjoo; Lee, Jong Ho

doi:10.1186/s12944-018-0887-1

Cited by 42 publications

(36 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, according to our findings, there was not any significant association between metabolites and energy intake or physical activity after Bonferroni correction. Regarding diet composition, recent research revealed that changes in macronutrient intake can influence lipid and fatty acid chain in acylcarnitines [42]. But in our study although we measured acylcarnitines, we did not observe a significant difference, with respect to this group of lipid species, between cases and controls.…”

Section: Discussioncontrasting

confidence: 93%

Plasma metabolomic profiling of amino acids and polar lipids in Iranian obese adults

et al. 2019

View full text Add to dashboard Cite

Background Obesity, widely recognized as a serious health concern, is characterized by profoundly altered metabolism. However, the intermediate metabolites involved in this change remain largely unknown. Objective: We conducted targeted metabolomics profiling to identify moieties associated with adult obesity. Methods In this case-control study of Iranian adults, 200 obese patients were compared with 100 controls based on 104 metabolites profiled by a targeted metabolomic approach using liquid chromatography coupled to triple quadrupole mass spectrometry (LC-MS/MS). The analysis comprised acylcarnitines, diacyl-phosphatidylcholines (PCaa), acyl-alkyl-phosphatidylcholines (PCae), sphingomyelins (SM), lyso-phospholipids (LPC) and amino acids. We performed multivariable linear regression to identify metabolites associated with obesity, adjusting for age, sex, total energy intake, total physical activity, smoking, and alcohol consumption. The Bonferroni correction was used to adjust for multiple testing. Results A pattern of 19 metabolites was significantly associated with obesity. Branched chain amino acids, alanine, glutamic acid, proline, tyrosine LPCa C16:1, PCaa C32:1, PCaa C32:2 and PCaa C38:3 were positively, while serine, asparagine, LPCa C18:1, LPCa C18:2, LPCe C18:0, PCae C34:3, PCae C38:4 and PCae C40:6 were negatively associated with obesity (all p < 0.00048). Conclusions A metabolomic profile containing 9 amino acids and 10 polar lipids may serve as a potential biomarker of adult obesity. Further studies are warranted to replicate these findings as well as investigate potential changes in this profile after weight reduction.

show abstract

Section: Discussioncontrasting

confidence: 93%

Plasma metabolomic profiling of amino acids and polar lipids in Iranian obese adults

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Medium-and long-chain ACs have been found to be linked to visceral obesity, 30 and intentional weight loss is known to affect levels of ACs. 31 Decenoylcarnitine and other ACs have also been linked to an impaired glucose tolerance in previous studies. 32 Of particular interest is that 2 other medium-chained ACs (decanoylcarnitine and octanoylcarnitine) have been associated with cardioembolic stroke, 33 a diagnosis mainly caused by AF.…”

Section: Comparison With the Literaturementioning

confidence: 88%

Multicohort Metabolomics Analysis Discloses 9‐Decenoylcarnitine to Be Associated With Incident Atrial Fibrillation

Lind

Salihović

Sundström

et al. 2021

JAHA

View full text Add to dashboard Cite

Background The molecular mechanisms involved in atrial fibrillation are not well known. We used plasma metabolomics to investigate if we could identify novel biomarkers and pathophysiological pathways of incident atrial fibrillation. Methods and Results We identified 200 endogenous metabolites in plasma/serum by nontargeted ultra‐performance liquid chromatography coupled to time‐of‐flight mass spectrometry in 3 independent population‐based samples (TwinGene, n=1935, mean age 68, 43% females; PIVUS [Prospective Investigation of the Vasculature in Uppsala Seniors], n=897, mean age 70, 51% females; and ULSAM [Uppsala Longitudinal Study of Adult Men], n=1118, mean age 71, all males), with available data on incident atrial fibrillation during 10 to 12 years of follow‐up. A meta‐analysis of ULSAM and PIVUS was used as a discovery sample and TwinGene was used for validation. In PIVUS, we also investigated associations between metabolites of interest and echocardiographic indices of myocardial geometry and function. Genome‐wide association studies were performed in all 3 cohorts for metabolites of interest. In the meta‐analysis of PIVUS and ULSAM with 430 incident cases, 4 metabolites were associated with incident atrial fibrillation at a false discovery rate <5%. Of those, only 9‐decenoylcarnitine was associated with incident atrial fibrillation and replicated in the TwinGene sample (288 cases) following adjustment for traditional risk factors (hazard ratio, 1.24 per unit; 95% CI, 1.06–1.45, P =0.0061). A meta‐analysis of all 3 cohorts disclosed another 4 significant metabolites. In PIVUS, 9‐decenoylcarnitine was related to left atrium size and left ventricular mass. A Mendelian randomization analysis did not suggest a causal role of 9‐decenoylcarnitine in atrial fibrillation. Conclusions A nontargeted metabolomics analysis disclosed 1 novel replicated biomarker for atrial fibrillation, 9‐Decenoylcarnitine, but this acetylcarnitine is likely not causally related to atrial fibrillation.

show abstract

“…There is limited previous evidence that can be directly compared, however prior studies with other study designs have highlighted the plausibility of our result. Dodecanoylcarnitine (C12) and other acylcarnitine peak intensities were increased among overweight participants after being randomly assigned a low-calorie diet for 12 weeks [ 39 ]. Several previous studies have reported the association between acylcarnitines and diabetes indicators, however the directionality of findings have been inconsistent [ 40-42 ].…”

Section: Discussionmentioning

confidence: 99%

Metabolomic Profiling After a Meal Shows Greater Changes and Lower Metabolic Flexibility in Cardiometabolic Diseases

Jones

et al. 2020

Journal of the Endocrine Society

View full text Add to dashboard Cite

Context Metabolic flexibility is the physiologic acclimatization to differing energy availability and requirement states. Effectively maintaining metabolic flexibility remains challenging, particularly since metabolic dysregulations in meal consumption during CMD pathophysiology are incompletely understood. Objective We compared metabolic flexibility following consumption of a standardized meal challenge among adults with or without CMDs. Design, Setting, and Participants Study participants (n=349; 37-54 years, 55% female) received a standardized meal challenge (520 kcal, 67.4 g carbohydrates, 24.3 g fat, 8.0 g protein; 259 mL). Blood samples were collected at baseline and two hours post-challenge. Plasma samples were assayed by high-resolution, non-targeted metabolomics with dual column liquid chromatography and ultra-high-resolution mass spectrometry. Metabolome-wide associations between features and meal challenge timepoint were assessed in multivariable linear regression models. Results Sixty-five percent of participants had ≥ one of four CMDs; 33% were obese, 6% had diabetes, 39% had hypertension, and 50% had metabolic syndrome. Log2-normalized ratios of feature peak areas (post-prandial:fasting) clustered separately among participants with versus without any CMDs. Among participants with CMDs, the meal challenge altered 1,756 feature peak areas (1,063 C18, 693 HILIC; all q<0.05). In individuals without CMDs, the meal challenge changed 1,383 feature peak areas (875 C18, 508 HILIC; all q<0.05). There were 108 features (60 C18, 48 HILIC) that differed by the meal challenge and CMD status, including dipeptides, carnitines, glycerophospholipids, and a bile acid metabolite (all p<0.05). Conclusions Among adults with CMDs, more metabolomic features differed after a meal challenge which reflected lower metabolic flexibility, relative to individuals without CMDs.

show abstract

Metabolomics identifies increases in the acylcarnitine profiles in the plasma of overweight subjects in response to mild weight loss: a randomized, controlled design study

Cited by 42 publications

References 28 publications

Plasma metabolomic profiling of amino acids and polar lipids in Iranian obese adults

Plasma metabolomic profiling of amino acids and polar lipids in Iranian obese adults

Multicohort Metabolomics Analysis Discloses 9‐Decenoylcarnitine to Be Associated With Incident Atrial Fibrillation

Metabolomic Profiling After a Meal Shows Greater Changes and Lower Metabolic Flexibility in Cardiometabolic Diseases

Contact Info

Product

Resources

About