Abstract 3481: A Prospective Comparison of NMR-Measured LDL Particle Number, Apolipoprotein B100, and Standard Lipids with Incident CHD in 27,673 Initially Healthy Women

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Samia Mora ◽  
James Otvos ◽  
Julie E Buring ◽  
Nader Rifai ◽  
Paul M Ridker
Keyword(s):  
Prospective Cohort ◽  
Large Scale ◽  
Particle Number ◽  
Proton Nuclear Magnetic Resonance ◽  
Resonance Spectroscopy ◽  
Healthy Women ◽  
Prospective Comparison ◽  
Chd Risk ◽  
Hazard Ratios ◽  
Apolipoprotein B100

Background While ATP-III recommends measurement of total and HDL cholesterol (HDL-C) as part of coronary risk assessment, measurement of LDL particle number (LDL-P) is not currently recommended. Methods and Results In a prospective cohort of 27,673 initially healthy women, baseline LDL-P was measured by proton nuclear magnetic resonance spectroscopy, apolipoprotein B100 (ApoB) was measured using an immunoturbidimetric assay, and standard lipids were directly measured. LDL-P correlated with LDL cholesterol (LDL-C; r=0.62), ApoB (0.84), non HDL-C (0.74), and total:HDL-C ratio (0.80). During a mean follow-up of 11 years, 668 incident coronary heart disease (CHD) events occurred. Using the lowest quintile as the reference, and adjusting for age, smoking, blood pressure, diabetes, menopause, hormone use, and body mass index, the association of LDL-P with CHD was stronger than LDL-C (Table ), and comparable in magnitude to ApoB, non HDL-C and total:HDL-C ratio. In a subgroup analysis of women with LDL-C<100 mg/dL, elevations in LDL-P, ApoB, non HDL-C, or total:HDL-C ratio were all separately associated with higher CHD risk (P<0.001 for all). Both LDL-P and ApoB remained associated with CHD after additionally adjusting for total cholesterol, HDL-C, and triglycerides (hazard ratios for top vs bottom quintile: 2.03 [95% CI 1.27–3.24] for LDL-P, and 3.08 [95% CI 1.92– 4.93] for ApoB) overall, and similarly in women with LDL-C<100 mg/dL (2.77 [95%CI 1.05–7.29] for LDL-P and 2.62 [95%CI 0.97–7.05] for ApoB). Conclusions In this large-scale prospective cohort, elevations in NMR-measured LDL particle number were significantly associated with incident CHD, with a magnitude of risk not substantially different from ApoB, non HDL-C, or total:HDL-C ratio. Among women with LDL-C <100mg/dL, elevations in LDL-P, ApoB, non HDL-C, and total:HDL-C ratio all carried higher CHD risk. Risk Factor-Adjusted Hazard Ratios for Incident CHD

A Prospective Comparison of NMR-Measured LDL Particle Number, Apolipoprotein B100, and Standard Lipids with Incident CHD in 27,673 Initially Healthy Women

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Samia Mora
Keyword(s):  
Particle Number ◽  
Healthy Women ◽  
Prospective Comparison ◽  
Apolipoprotein B100

Abstract 3481 Samia Mora, Brigham And Womens Hosp, Boston, MA; James Otvos, LipoScience, Inc., Raleigh, NC; Julie E Buring, Brigham And Women’s Hospital, Boston, MA; Nader Rifai, Boston Children’s Hosp, Boston, MA; Paul M Ridker, Brigham And Women’s Hospital, Boston, MA Samia Mora, 2007 Finalist and Presenting Author

scholarly journals Per-Particle Triglyceride-Rich Lipoproteins Imply Higher Myocardial Infarction Risk Than Low-Density Lipoproteins

2021 ◽  
Author(s):  
Mia Ø. Johansen ◽  
Signe Vedel-Krogh ◽  
Sune F. Nielsen ◽  
Shoaib Afzal ◽  
George Davey Smith ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Particle Number ◽  
Low Density Lipoproteins ◽  
Resonance Spectroscopy ◽  
Atherosclerotic Cardiovascular Disease ◽  
Low Density ◽  
Lipoprotein Subfractions ◽  
General Population Study ◽  
Ldl Particles ◽  
Hazard Ratios

Objective: ApoB (Apolipoprotein B)-containing triglyceride-rich lipoproteins and LDL (low-density lipoproteins) are each causal for myocardial infarction and atherosclerotic cardiovascular disease; however, the relative importance is unknown. We tested the hypothesis that for the same number of nonfasting apoB-containing particles from smaller LDL through to larger triglyceride-rich lipoproteins, the risk of myocardial infarction is similar. Approach and Results: We included 29 039 individuals with no history of myocardial infarction nested within 109 751 individuals from the Copenhagen General Population Study. Particle number of apoB-containing lipoprotein subfractions were measured using nuclear magnetic resonance spectroscopy. During a mean follow-up of 10 years, 2309 individuals developed myocardial infarction. Multivariable-adjusted hazard ratios for myocardial infarction per 1×10 15 particles were higher with larger size and more triglyceride content of apoB-containing lipoproteins using ten different subfractions, ranging from 11 (95% CI, 5.6–22) for extra extra large VLDL (very-low-density lipoproteins) to 1.06 (1.05–1.07) for extra small VLDL to 1.02 (1.01–1.02) for IDL (intermediate-density lipoproteins), through to 1.01 (1.01–1.01) for small LDL. When combining the particle number of 6 VLDL subfractions and combining IDL and 3 LDL subfractions, hazard ratios for myocardial infarction per 1×10 17 particles were 3.5 (2.7–4.5) for VLDL and 1.3 (1.2–1.4) for IDL and LDL combined. Conclusions: For the same number of apoB-containing particles (1×10 17 particles/L), the hazard ratio for myocardial infarction was 3.5-fold for VLDL and 1.3-fold for IDL and LDL combined. Biological implications include that VLDL particles are more atherogenic than LDL particles and clinically that VLDL and LDL should be measured separately.

scholarly journals “One-shot” analysis of wine parameters in non-Saccharomyces large-scale alcohol reduction processes with one- and two-dimensional nuclear magnetic resonance

2019 ◽  
Vol 15 ◽  
pp. 02016
Author(s):  
J.E. Herbert-Pucheta ◽  
C. Pino-Villar ◽  
F. Rodríguez-González ◽  
G. Padilla-Maya ◽  
D. Milmo-Brittingham ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Large Scale ◽  
Correlation Spectroscopy ◽  
Wine Industry ◽  
Proton Nuclear Magnetic Resonance ◽  
Resonance Spectroscopy ◽  
Two Dimensional ◽  
Alcohol Reduction ◽  
Nuclear Magnetic

Facing climate change in wine industry comprises the implementation of strategies, such as to reduce alcohol in wines, promoted by abnormal increment of sugar levels in wine grapes. The present work discusses the first industrial-scale use of specific yeast strains able to produce wine with reduced alcoholic concentration. Reduction of alcohol content and quantification of key metabolites associated to oenological practice and/or quality were simultaneously measured in a “one-shot” way with proton Nuclear Magnetic Resonance Spectroscopy. Novel relevant metabolites were revealed with the use of a two-dimensional 1H-13C HSQC multipresat correlation spectroscopy, whereas a detailed methodological NMR description is stressed, towards revealing novel resonances within the NMR signature. The use of multitask analytical methods to simultaneously describe alcohol reduction and NMR targeting, completes the portfolio of NMR solutions recently proposed to the World Organisation of Vine and Wine for as well quantify aging and varieties.

Abstract 5144: Extended-Release Niacin Reduces LDL-C Particle Number Even In The Absence Of Changes In Total LDL-C Levels

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Haseeb Jafri ◽  
Jeffrey T Kuvin ◽  
Alawi A Alsheikh-Ali ◽  
Paula Mooney ◽  
Carey D Kimmelstiel ◽  
...  
Keyword(s):  
Extended Release ◽  
Particle Number ◽  
Stable Coronary Artery Disease ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Primary Objective ◽  
Lipoprotein Cholesterol ◽  
Proton Nuclear Magnetic Resonance ◽  
Resonance Spectroscopy ◽  
Stable Cad

Introduction: The importance of the number of circulating low-density lipoprotein cholesterol (LDL-C) particles, in addition to the total level of LDL-C is increasingly recognized. The effects of Extended Release Niacin (ERN) on LDL-C particle number have not been studied. The primary objective of this study was to evaluate ERN’s effects on LDL-C particle number. ERN’s effect on high-density lipoprotein cholesterol (HDL-C) particle number was a secondary objective. Hypothesis : In patients with stable coronary artery disease (CAD) and LDL-C at goal, the addition of ERN will favorably alter LDL-C particle number. Methods: 60 patients with stable CAD and well-controlled LDL-C levels were randomly assigned to 3 months of ERN (1g/d) or placebo in addition to their baseline medications. Particle number was analyzed by proton nuclear magnetic resonance spectroscopy at baseline and after 3 months. Results: Baseline and follow up lipid values are shown in Table . Compared to baseline, while ERN had no significant effect on total LDL-C levels, it significantly decreased the mean number of medium and small very small LDL-C particles (p=0.005). The percent change in each of these particle numbers was significantly greater in the ERN group compared to placebo as well (p<0.05 for each) ERN therapy raised HDL-C levels and also significantly shifted from small to large HDL-C particles (p<0.001). There were no significant changes in lipid values or particle numbers in the placebo-treated patients ( Table ). Conclusion: In patients with stable CAD and well-controlled LDL-C levels, ERN significantly reduced the number of circulating particles of the more atherogenic subtypes of LDL-C, despite having no effect on total LDL-C levels. ERN also favorably altered particle numbers of HDL-C. These findings suggest that ERN-induced alterations in particle number may contribute to its anti-atherosclerotic effects, and that these effects may not be evident from the standard lipid profile.

scholarly journals A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2762
Author(s):  
Samantha Di Donato ◽  
Alessia Vignoli ◽  
Chiara Biagioni ◽  
Luca Malorni ◽  
Elena Mori ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Stratification ◽  
Elderly Patients ◽  
Metastatic Colorectal Cancer ◽  
Early Stage ◽  
Prospective Trial ◽  
Proton Nuclear Magnetic Resonance ◽  
P Value ◽  
Resonance Spectroscopy ◽  
Metabolomic Fingerprinting

Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve the identification of patients with residual micrometastases after surgery. In this retrospective study, we hypothesized that metabolomic fingerprinting could improve risk stratification in patients with eCRC. Serum samples obtained after surgery from 94 elderly patients with eCRC (65 relapse free and 29 relapsed, after 5-years median follow up), and from 75 elderly patients with metastatic colorectal cancer (mCRC) obtained before a new line of chemotherapy, were retrospectively analyzed via proton nuclear magnetic resonance spectroscopy. The prognostic role of metabolomics in patients with eCRC was assessed using Kaplan–Meier curves. PCA-CA-kNN could discriminate the metabolomic fingerprint of patients with relapse-free eCRC and mCRC (70.0% accuracy using NOESY spectra). This model was used to classify the samples of patients with relapsed eCRC: 69% of eCRC patients with relapse were predicted as metastatic. The metabolomic classification was strongly associated with prognosis (p-value 0.0005, HR 3.64), independently of tumor stage. In conclusion, metabolomics could be an innovative tool to refine risk stratification in elderly patients with eCRC. Based on these results, a prospective trial aimed at improving risk stratification by metabolomic fingerprinting (LIBIMET) is ongoing.

scholarly journals Occurrence of Cis-11,12-Methylene-Hexadecanoic Acid in the Red Alga Solieria pacifica (Yamada) Yoshida

Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2286
Author(s):  
Gwang-Woo Kim ◽  
Jae-Man Sim ◽  
Yutaka Itabashi ◽  
Min-Jeong Jung ◽  
Joon-Young Jun
Keyword(s):  
Fatty Acids ◽  
Fatty Acid ◽  
Red Alga ◽  
Proton Nuclear Magnetic Resonance ◽  
Animal Origin ◽  
Monoenoic Acid ◽  
Resonance Spectroscopy ◽  
Hexadecenoic Acid ◽  
Cyclopropane Fatty Acid ◽  
Hexadecanoic Acid

Fatty acids in marine algae have attracted the attention of natural chemists because of their biological activity. The fatty acid compositions of the Solieriaceae families (Rhodophyceae, Gaigartinales) provide interesting information that unusual cyclic fatty acids have been occasionally found. A survey was conducted to profile the characteristic fatty acid composition of the red alga Solieria pacifica (Yamada) Yoshida using gas chromatography-mass spectrometry (GC-MS), infrared spectroscopy (IR), and proton nuclear magnetic resonance spectroscopy (1H-NMR). In S. pacifica, two cyclopentyl fatty acids, 11-cyclopentylundecanoic acid (7.0%), and 13-cyclopentyltridecanoic acid (4.9%), and a cyclopropane fatty acid, cis-11,12-methylene-hexadecanoic acid (7.9%) contributed significantly to the overall fatty acid profile. In particular, this cyclopropane fatty acid has been primarily found in bacteria, rumen microorganisms or foods of animal origin, and has not previously been found in any other algae. In addition, this alga contains a significant amount of the monoenoic acid cis-11-hexadecenoic acid (9.0%). Therefore, cis-11,12-methylene-hexadecanoic acid in S. pacifica was likely produced by methylene addition to cis-11-hexadecenoic acid.

scholarly journals Neuroendocrine Neoplasms: Identification of Novel Metabolic Circuits of Potential Diagnostic Utility

Cancers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 374
Author(s):  
Beatriz Jiménez ◽  
Mei Ran Abellona U ◽  
Panagiotis Drymousis ◽  
Michael Kyriakides ◽  
Ashley K. Clift ◽  
...  
Keyword(s):  
1H Nmr ◽  
Cancer Metabolism ◽  
Proton Nuclear Magnetic Resonance ◽  
Neuroendocrine Neoplasms ◽  
Resonance Spectroscopy ◽  
Diagnostic Utility ◽  
Signalling Molecules ◽  
Prognostic Accuracy ◽  
Diagnostic Potential ◽  
Healthy Control

The incidence of neuroendocrine neoplasms (NEN) is increasing, but established biomarkers have poor diagnostic and prognostic accuracy. Here, we aim to define the systemic metabolic consequences of NEN and to establish the diagnostic utility of proton nuclear magnetic resonance spectroscopy (1H-NMR) for NEN in a prospective cohort of patients through a single-centre, prospective controlled observational study. Urine samples of 34 treatment-naïve NEN patients (median age: 59.3 years, range: 36–85): 18 had pancreatic (Pan) NEN, of which seven were functioning; 16 had small bowel (SB) NEN; 20 age- and sex-matched healthy control individuals were analysed using a 600 MHz Bruker 1H-NMR spectrometer. Orthogonal partial-least-squares-discriminant analysis models were able to discriminate both PanNEN and SBNEN patients from healthy control (Healthy vs. PanNEN: AUC = 0.90, Healthy vs. SBNEN: AUC = 0.90). Secondary metabolites of tryptophan, such as trigonelline and a niacin-related metabolite were also identified to be universally decreased in NEN patients, while upstream metabolites, such as kynurenine, were elevated in SBNEN. Hippurate, a gut-derived metabolite, was reduced in all patients, whereas other gut microbial co-metabolites, trimethylamine-N-oxide, 4-hydroxyphenylacetate and phenylacetylglutamine, were elevated in those with SBNEN. These findings suggest the existence of a new systems-based neuroendocrine circuit, regulated in part by cancer metabolism, neuroendocrine signalling molecules and gut microbial co-metabolism. Metabonomic profiling of NEN has diagnostic potential and could be used for discovering biomarkers for these tumours. These preliminary data require confirmation in a larger cohort.

scholarly journals A non-targeted LC–MS metabolic profiling of pregnancy: longitudinal evidence from healthy and pre-eclamptic pregnancies

Metabolomics ◽  
2021 ◽  
Vol 17 (2) ◽  
Author(s):  
Tiina Jääskeläinen ◽  
◽  
Olli Kärkkäinen ◽  
Jenna Jokkala ◽  
Anton Klåvus ◽  
...  
Keyword(s):  
Large Scale ◽  
Scale Effects ◽  
Late Pregnancy ◽  
Metabolite Profile ◽  
Adverse Outcomes ◽  
Liquid Chromatography Mass Spectrometry ◽  
Targeted Metabolomics ◽  
Serum Samples ◽  
Healthy Women ◽  
Maternal Metabolism

Abstract Introduction Maternal metabolism changes substantially during pregnancy. However, few studies have used metabolomics technologies to characterize changes across gestation. Objectives and methods We applied liquid chromatography–mass spectrometry (LC–MS) based non-targeted metabolomics to determine whether the metabolic profile of serum differs throughout the pregnancy between pre-eclamptic and healthy women in the FINNPEC (Finnish Genetics of Preeclampsia Consortium) Study. Serum samples were available from early and late pregnancy. Results Progression of pregnancy had large-scale effects to the serum metabolite profile. Altogether 50 identified metabolites increased and 49 metabolites decreased when samples of early pregnancy were compared to samples of late pregnancy. The metabolic signatures of pregnancy were largely shared in pre-eclamptic and healthy women, only urea, monoacylglyceride 18:1 and glycerophosphocholine were identified to be increased in the pre-eclamptic women when compared to healthy controls. Conclusions Our study highlights the need of large-scale longitudinal metabolomic studies in non-complicated pregnancies before more detailed understanding of metabolism in adverse outcomes could be provided. Our findings are one of the first steps for a broader metabolic understanding of the physiological changes caused by pregnancy per se.

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