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      Lipid findings from the Diabetes Education to Lower Insulin, Sugars, and Hunger (DELISH) Study

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          Abstract

          Background

          A carbohydrate-restricted (CR) diet can improve glycemic control in people with type 2 diabetes mellitus (T2DM). There are concerns, however, that the high dietary fat content of CR diets can increase low-density lipoprotein cholesterol (LDL-C), thus increasing cardiovascular disease (CVD) risk. Quantifying CVD risk associated with changes in LDL-C in the context of CR diets is complicated by the fact that LDL-C reflects heterogeneous lipids. For example, small LDL particle number (sLDL-P) is more closely associated with CVD risk than is total LDL-C, and CR diets tend to decrease the proportion of sLDL-C in LDL-C, which standard lipid measures do not indicate. Advanced lipoprotein assays, such as nuclear magnetic resonance (NMR) testing, can subfractionate lipoproteins by size and density and may better depict the effects of CR diets on CVD risk.

          Methods

          Adults ( N = 58) with T2DM ( n = 37 women; baseline HbA1c ≥ 6.5%) completed a 6-month group-based CR diet intervention. We obtained a standard lipid panel, advanced lipoprotein assays (NMR testing), and two 24-h diet recalls at baseline and post-intervention (6 months). Participants also completed home-based blood ketone testing (a biological index of dietary adherence) during the final five weeks of the intervention.

          Results

          From baseline to post-intervention, participants had increased mean HDL-C, decreased triglycerides and triglyceride/HDL ratio, decreased mean sLDL-P, and increased LDL size, which reflect reductions in CVD risk ( ps < 0.05). Participants did not have statistically significant changes in total cholesterol, non-HDL-C cholesterol, LDL-P, or HDL-P. Twelve participants (23.1%) had a ≥ 5% increase in sLDL-P. Exploratory analyses revealed that participants with sLDL-P increases of ≥ 5% reported larger increases in servings of red meat than participants without sLDL-P increases of ≥ 5% (+ 0.69 vs − 0.29 servings; p = 0.033). Changes in saturated fat intake were not associated with changes in sLDL-P.

          Conclusions

          Among most participants, we observed changes in several lipid measures consistent with decreased CVD risk. Approximately one in four participants evidenced increases in sLDL-P. Further research should clarify whether individuals with increased sLDL-P after implementing a CR diet can reverse observed increases by limiting red meat consumption.

          Trial registration

          ClinicalTrials.gov, NCT03207711, Registered 6/11/2017. Retrospectively registered.

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          Most cited references29

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          Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease.

          A reduction in dietary saturated fat has generally been thought to improve cardiovascular health. The objective of this meta-analysis was to summarize the evidence related to the association of dietary saturated fat with risk of coronary heart disease (CHD), stroke, and cardiovascular disease (CVD; CHD inclusive of stroke) in prospective epidemiologic studies. Twenty-one studies identified by searching MEDLINE and EMBASE databases and secondary referencing qualified for inclusion in this study. A random-effects model was used to derive composite relative risk estimates for CHD, stroke, and CVD. During 5-23 y of follow-up of 347,747 subjects, 11,006 developed CHD or stroke. Intake of saturated fat was not associated with an increased risk of CHD, stroke, or CVD. The pooled relative risk estimates that compared extreme quantiles of saturated fat intake were 1.07 (95% CI: 0.96, 1.19; P = 0.22) for CHD, 0.81 (95% CI: 0.62, 1.05; P = 0.11) for stroke, and 1.00 (95% CI: 0.89, 1.11; P = 0.95) for CVD. Consideration of age, sex, and study quality did not change the results. A meta-analysis of prospective epidemiologic studies showed that there is no significant evidence for concluding that dietary saturated fat is associated with an increased risk of CHD or CVD. More data are needed to elucidate whether CVD risks are likely to be influenced by the specific nutrients used to replace saturated fat.
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            Diagnostic tests. 1: Sensitivity and specificity.

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              Lipoprotein particle analysis by nuclear magnetic resonance spectroscopy.

              Laboratory measurements of plasma lipids (principally cholesterol and triglycerides) and lipoprotein lipids (principally low-density lipoprotein [LDL] and low-density lipoprotein [HDL] cholesterol) are the cornerstone of the clinical assessment and management of atherosclerotic cardiovascular disease (CVD) risk. LDL particles, and to a lesser extent very-low-density lipoprotein [VLDL] particles, cause atherosclerosis, whereas HDL particles prevent or reverse this process through reverse cholesterol transport. The overall risk for CVD depends on the balance between the "bad" LDL (and VLDL) and "good" HDL particles. Direct assessment of lipoprotein particle numbers us now possible through nuclear magnetic resonance spectroscopic analysis.
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                Author and article information

                Contributors
                415.514.6820 , ashley.mason@ucsf.edu
                Sarah.Kim@ucsf.edu
                Patricia.Moran@ucsf.edu
                Sarah.Kim@ucsf.edu
                Hiba.Abousleiman@ucsf.edu
                Robert.Richler@ucsf.edu
                Samantha.Schleicher@ucsf.edu
                veronica.goldman@ucsf.edu
                arh347@drexel.edu
                cinleung@umich.edu
                Wendy.Hartogensis@ucsf.edu
                Rick.Hecht@ucsf.edu
                Journal
                Nutr Metab (Lond)
                Nutr Metab (Lond)
                Nutrition & Metabolism
                BioMed Central (London )
                1743-7075
                27 August 2019
                27 August 2019
                2019
                : 16
                : 58
                Affiliations
                [1 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, UCSF Department of Psychiatry, Center for Health and Community, ; San Francisco, CA USA
                [2 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, UCSF Osher Center for Integrative Medicine, ; 1545 Divisadero Street, Suite 301, San Francisco, CA 94115 USA
                [3 ]ISNI 0000000086837370, GRID grid.214458.e, Department of Health Behavioral and Biological Sciences, , The University of Michigan, School of Nursing, ; Ann Arbor, MI USA
                [4 ]ISNI 0000 0001 2348 2960, GRID grid.416732.5, UCSF Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, , San Francisco General Hospital, ; San Francisco, CA USA
                [5 ]ISNI 0000 0001 2175 4264, GRID grid.411024.2, University of Maryland, School of Medicine, ; Annapolis, MD USA
                [6 ]ISNI 0000 0001 2181 3113, GRID grid.166341.7, Department of Psychology, , Drexel University, College of Arts and Sciences, ; Philadelphia, PA USA
                [7 ]ISNI 0000000086837370, GRID grid.214458.e, Department of Nutritional Sciences, , University of Michigan, School of Public Health, ; Ann Arbor, MI USA
                Author information
                http://orcid.org/0000-0002-8744-0185
                Article
                383
                10.1186/s12986-019-0383-2
                6712717
                072285fc-cf9b-4ce4-ae82-034697699aaa
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 6 May 2019
                : 12 August 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100008460, National Center for Complementary and Integrative Health;
                Award ID: R61AT009333
                Award ID: K24AT007827
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: K23HL133442
                Funded by: FundRef http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: K01DK107456
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Nutrition & Dietetics
                diabetes,low-carbohydrate diet,ldl-c cholesterol,ldl-p cholesterol
                Nutrition & Dietetics
                diabetes, low-carbohydrate diet, ldl-c cholesterol, ldl-p cholesterol

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