Low-Density Lipoprotein, Non-High-Density Lipoprotein, and Apolipoprotein B as Targets of Lipid-Lowering Therapy

医学 载脂蛋白B 载脂蛋白C2 脂蛋白 低密度脂蛋白受体相关蛋白8 脂蛋白(a) 高密度脂蛋白 极低密度脂蛋白 内科学 胆固醇
作者
Scott M. Grundy
出处
期刊:Circulation [Ovid Technologies (Wolters Kluwer)]
卷期号:106 (20): 2526-2529 被引量:318
标识
DOI:10.1161/01.cir.0000038419.53000.d6
摘要

HomeCirculationVol. 106, No. 20Low-Density Lipoprotein, Non-High-Density Lipoprotein, and Apolipoprotein B as Targets of Lipid-Lowering Therapy Free AccessEditorialPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessEditorialPDF/EPUBLow-Density Lipoprotein, Non-High-Density Lipoprotein, and Apolipoprotein B as Targets of Lipid-Lowering Therapy Scott M. Grundy Scott M. GrundyScott M. Grundy From the Center for Human Nutrition and the Departments of Internal Medicine and Clinical Nutrition, University of Texas Southwestern Medical Center at Dallas. Originally published12 Nov 2002https://doi.org/10.1161/01.CIR.0000038419.53000.D6Circulation. 2002;106:2526–2529Although low-density lipoprotein (LDL) is widely recognized as the major atherogenic lipoprotein and the primary target of lipid-lowering therapy,1 other lipoprotein species nonetheless appear to be involved in atherogenesis. These include very low-density lipoproteins (VLDL), intermediate-density lipoproteins (IDL), and high-density lipoproteins (HDL). Both VLDL and IDL are triglyceride-rich lipoproteins (TGRLP). Thus, in the aftermath of unequivocal evidence that LDL lowering reduces risk for major coronary events and stroke,2 the field of lipid study is turning more of its attention to the other lipoproteins that appear to be involved in atherosclerosis. The recent Adult Treatment Panel III (ATP III) report1 of the National Cholesterol Education Program has summarized our current understanding of the relationship between other lipoprotein species and risk for coronary heart disease (CHD).See p 2537ATP III1 placed more emphasis on TGRLP and HDL as secondary targets of lipid-modifying therapy than did previous ATP reports.3 There is an emerging consensus that among TGRLP, cholesterol-rich remnant lipoproteins carry atherogenic potential. This view led ATP III to designate LDL+IDL+VLDL cholesterol (called non-HDL cholesterol) as "atherogenic cholesterol" and to identify it as a secondary target of therapy, after LDL cholesterol. In the ATP III report, however, non-HDL cholesterol as a secondary target is limited to persons who have elevated serum triglyceride levels (≥200 mg/dL). In the majority of people who have lower triglyceride levels, LDL cholesterol contains the bulk of "atherogenic cholesterol" and thus is a sufficient target alone.The designation of elevated non-HDL cholesterol as a treatment target depended strongly on increasing data showing that high levels of cholesterol-rich TGRLP raise risk for CHD. Several reviews summarize the evidence for atherogenicity of triglyceride-rich remnants.4–6 On the other hand, only a limited number of studies7,8 have examined the strength of association between non-HDL cholesterol and risk for CHD. The current report of Bittner et al9 contributes to a growing body of information on the predictive power for major coronary events of non-HDL cholesterol. In the discussion to follow, the current status of non-HDL cholesterol as predictor of major coronary events and as a target of lipid-lowering therapy will be examined.Predictive Power of LipoproteinsEpidemiological studies reveal a strong independent relation between serum cholesterol levels and risk for CHD.10 Since LDL is the major cholesterol-carrying lipoprotein of serum, it too is widely accepted as an independent risk factor.1 Prospective surveys11 further document that reduced serum levels of HDL cholesterol independently predict CHD incidence. The case for high serum triglycerides as a marker for TGRLP has been less robust.11 Since HDL cholesterol and triglycerides are inversely correlated, when HDL is entered into multivariate predictive models, triglycerides are generally found to be weak predictors of CHD.12 Nonetheless, recent meta-analyses of a large number of epidemiological studies reveal that elevated triglyceride levels carry independent predictive power.13,14 For many years, the case was made that independent association between lipoprotein fractions and CHD incidence implies causation. In other words, the independent association of both high LDL levels and low HDL levels with CHD incidence encouraged the view that both are directly atherogenic. Since higher triglycerides have reduced association with CHD events when HDL is in the predictive model, some epidemiologists have assumed that high levels of TGRLP are less atherogenic than a low HDL level.1 It must be noted, however, that triglycerides are more variable than are HDL levels, and this variability could weaken a true causative link between TGRLP and CHD. In fact, because of the high inverse correlation between triglyceride and HDL, it is possible that elevated TGRLP concentrations are in fact more atherogenic than are low HDL concentrations. Evidence supporting the atherogenicity of remnant TGRLP agrees with this view.4–6Atherogenicity of Different Lipoprotein SpeciesIt has been exceedingly difficult to determine which species of lipoproteins are truly atherogenic and how they vary in relative atherogenicity. Epidemiological data do not provide univocal answers. For example, within the LDL fraction, several subspecies exist, including large, middle-sized, and small LDL. One or another of these subspecies have been claimed to be the most atherogenic form of LDL; but so far, the question of differential atherogenicity among the LDL subspecies remains unresolved. TGRLP likewise consist of multiple subspecies. Most investigators believe that smaller, cholesterol-enriched, remnant TGRLP are the most atherogenic; such nonetheless has been difficult to prove with certainty.Both LDL and TGRLP contain apolipoprotein B-100 (apo B) as their major apolipoprotein. A growing view holds that most, if not all of apo B-containing lipoproteins are atherogenic. Although different subspecies of apo B-containing lipoproteins may vary in their atherogenic potential, a simplifying concept is that most of these subspecies carry similar atherogenicity. If so, then measurement of serum total apo B signifies the atherogenic potential of the whole lipoprotein fraction. Total apo B levels are clearly a strong predictor of CHD risk.15Total apo B levels correlate relatively strongly with non-HDL cholesterol levels.16,17 The correlation is particularly strong in the absence of elevated serum triglycerides, but weakens somewhat as triglyceride levels rise.16,17 Still, non-HDL cholesterol includes all of the cholesterol in apo B-containing lipoproteins. Because there is one apo B molecule per lipoprotein particle, total apo B concentrations are a measure of total particle number in LDL+TGRLP, whereas non-HDL cholesterol provides the cholesterol content of these same lipoproteins. Whether total apo B or non-HDL cholesterol is a better predictor of CHD risk has not been determined through robust prospective studies. In routine clinical practice, non-HDL cholesterol is more readily available, more reliable, and less expensive than total apo B. On the other hand, methodology for measurement of total apo B is improving and is becoming more widely available. Physicians therefore have an option whether to use non-HDL cholesterol or total apo B levels.Relative Risk Versus Absolute Risk: Significance of Different Lipoprotein FractionsAbsolute risk for CHD is the likelihood of developing a coronary event over a given period of time. Relative risk is the ratio of absolute risks associated with high and low levels of any given risk factor. Most prospective studies provide estimates of relative risk imparted by risk factors. In the past, much emphasis was placed on estimates of relative risk for CHD accompanying different lipoprotein fractions. Lipidologists have championed one fraction or another (LDL cholesterol, HDL cholesterol, total cholesterol/HDL cholesterol ratios, small LDL particles, remnant lipoproteins, or total apo B) as the best predictor of CHD. The study9 in the current issue of Circulation supports non-HDL cholesterol as the best predictor of future CHD events. Nonetheless, any prediction based on lipoprotein fractions alone gives relative risk, not absolute risk. A single risk factor cannot estimate absolute risk for future cardiovascular events. Such predictions require combining all CHD risk factors into integrated risk-prediction algorithms. For example, ATP III guidelines1 adopted Framingham risk equations for estimating absolute risk. Because intensity of lipid management increasingly depends on absolute risk estimates, knowing the relative risk imparted by different risk factors gives insufficient information for any single risk factor to be a good guide to therapy. The failure to distinguish between relative risk for single risk factors and absolute risk imparted by all risk factors commonly leads to inappropriate clinical decisions as to type and intensity of therapy. To date, most putative lipid risk factors have never been incorporated into risk equations to determine their incremental predictive power beyond simple lipid measurements.CHD Risk Factors: Predictor Versus Target of TherapyA common assumption is that strong risk predictors constitute appropriate targets for risk-reduction therapies. This assumption, however, may not be entirely valid, as revealed by controlled clinical trials. Several examples are worth citing. Hyperglycemia in patients with diabetes is an independent risk factor for CHD; to date, however, therapeutic reduction of glucose levels has not been shown unequivocally to reduce risk for CHD. Hypertension is another powerful independent risk factor. Therapeutic lowering of blood pressure does in fact reduce risk for CHD,18 but only about one-half as much as might be projected from epidemiological studies. A low HDL-cholesterol level is another strong independent risk factor, but it remains to be shown that specifically raising of HDL cholesterol will significantly reduce risk for coronary events. The reverse picture has emerged for total cholesterol and LDL cholesterol. For instance, in older persons, epidemiological studies fail to show that the relative risk accompanying higher cholesterol levels is much greater than that for lower levels.19 In contrast, clinical trials demonstrate that cholesterol-lowering therapy in older persons markedly reduces risk for future CHD events.20 Thus, it cannot be assumed a priori that therapeutic modification of a risk factor will reverse risk for coronary events, as might be predicted from prospective studies. Several factors undoubtedly confound the relationship between epidemiological prediction and clinical trial results. In the case of non-HDL cholesterol, therefore, it cannot necessarily be assumed that it is a better target of lipid-lowering therapy than LDL cholesterol, especially without clinical trial evidence. ATP III1 nevertheless concluded on the basis of several types of data that an elevated non-HDL cholesterol in patients with hypertriglyceridemia will continue to impart increased risk even after the goal of LDL cholesterol has been achieved. If this conclusion is correct, therapy beyond LDL lowering should be beneficial in patients with elevated triglycerides.Non-HDL Cholesterol (or Total Apo B): Replacement for LDL Cholesterol?A few investigators propose that non-HDL cholesterol21,22 or its correlate, total apo B,15 should replace LDL cholesterol in clinical cholesterol guidelines. Several arguments favor this proposal. First, both non-HDL cholesterol and apo B are markers for all of the potentially atherogenic lipoproteins, ie, LDL, IDL, and atherogenic VLDL. Among these, both LDL and IDL are widely accepted as being atherogenic, and evidence is growing that most of the apo B-containing lipoproteins in VLDL contribute to atherosclerosis. Second, prospective epidemiological data provide some evidence for a greater predictive power of non-HDL cholesterol over LDL cholesterol.8,9 Third, several smaller studies indicate that elevated total apo B predicts a relative risk for CHD more than LDL cholesterol does.15 Finally, use of non-HDL cholesterol (or apo B) adds an element of simplicity to guidelines by combining all atherogenic lipoproteins into a single fraction.On the other hand, ATP III chose not to replace LDL cholesterol with non-HDL cholesterol (or apo B) as the primary target of therapy. Several reasons were cited.1 First, LDL is clearly the predominant atherogenic lipoprotein for most people, and hence represents the most robust target of therapy. Second, earlier ATP reports,3 making use of both epidemiological data and clinical trial results, designated LDL cholesterol as the primary target. This designation has been widely accepted by the medical community, such that LDL is recognized by most physicians as the first target of treatment. Modifying the primary target without stronger evidence would introduce considerable confusion into the medical community. Moreover, statins generally are considered to have a major effect on LDL; hence, the powerful results of clinical trials with statin therapy have kept the focus on LDL cholesterol as the preferred primary target.2Despite these arguments for maintaining of LDL cholesterol as the primary target, ATP III recognized that increasing information points to an atherogenic role for most TGRLP, notably, IDL and VLDL remnants. Consequently, non-HDL cholesterol was introduced as a secondary target of treatment because it provides the cholesterol content of all the atherogenic lipoproteins. Total apo B was acknowledged as an alternative to non-HDL cholesterol, but non-HDL cholesterol was highlighted because of wide availability and reliability of estimation. Whether non-HDL cholesterol or total apo B may someday replace LDL cholesterol altogether as the primary target must depend on the acquisition of enough new data to justify a major conceptual shift in cholesterol management.Therapeutic Goals for Atherogenic LipoproteinsAn important feature of ATP III is that it places first emphasis on goals of therapy for LDL cholesterol and non-HDL cholesterol rather than on treatment initiation levels. This emphasis, however, is not absolute; baseline levels are taken into account when choosing type of therapy. Nonetheless, the focus on goals of therapy has simplified guidelines and cholesterol management. As indicated before, a specific goal for non-HDL cholesterol levels was introduced only in those persons with baseline triglyceride levels ≥200 mg/dL. The goal for non-HDL cholesterol is a level 30 mg/dL higher than that for LDL cholesterol. This rule for a secondary goal is best applied when serum triglycerides are in the range of 200 to 500 mg/dL. In those relatively rare patients in whom triglycerides exceed 500 mg/dL, it is frequently impossible to achieve stated goals for non-HDL cholesterol; moreover, attention should be given to reducing triglyceride levels to <500 mg/dL to prevent development of acute pancreatitis. Regardless, even in patients with elevated triglycerides, LDL cholesterol remains the primary target, and the LDL-cholesterol goal should be achieved before considering other lipid risk factors. It must be kept in mind that statins lower non-HDL cholesterol by the same percentage as LDL cholesterol because they reduce cholesterol in remnant TGRLP similarly to LDL cholesterol. Thus, in some patients with hypertriglyceridemia, the non-HDL cholesterol goal will be met when the LDL-cholesterol goal is achieved. Even so, in many others, additional therapy is required to attain the non-HDL cholesterol goal. Often a higher dose of statins or another lipid-lowering drug (eg, fibrate or nicotinic acid) will be necessary.The Table summarizes ATP III's therapeutic goals for LDL cholesterol and non-HDL cholesterol. Also shown are corresponding goals for total apo B, which are derived from the known relationship between total apo B and non-HDL cholesterol. Total apo B represents an alternative secondary target of therapy. Although some investigators would give priority to total apo B rather than non-HDL cholesterol as a target of treatment, it remains to be proven that total apo B is superior in clinical practice. Regardless, there is growing interest in the possibility that additional risk reduction may be obtained by incremental lipid-lowering therapy after ATP III's goals for LDL cholesterol have been met. If so, the next logical therapeutic target is non-HDL cholesterol (or total apo B). These do not exhaust the list of potential lipid targets (eg, HDL cholesterol, small LDL particles, and lipoprotein [a]), however, but they nonetheless appear to be a logical extension of the priority given to LDL cholesterol. Treatment Goals for LDL Cholesterol, Non-HDL Cholesterol, and Total Apolipoprotein BRisk StatusTherapeutic Goal, mg/dLPrimary Target: LDL CholesterolSecondary Target: Non-HDL Cholesterol*Secondary Target: Total Apolipoprotein B†*Non-HDL cholesterol becomes a secondary target of therapy when serum triglycerides range from 200 to 500 mg/dL.†Apolipoprotein B is an alternate secondary target of therapy when serum triglycerides range from 200 to 500 mg/dL.‡Includes a history of myocardial infarction, unstable angina, stable angina, coronary artery procedures, and clinical evidence of myocardial ischemia.∥Includes clinical forms of non-coronary atherosclerotic vascular disease (peripheral arterial disease, abdominal aortic aneurysm, clinical carotid artery disease), diabetes, and multiple (2 or more) risk factors with 10-year risk for major coronary events (myocardial infarction+coronary death) ≥20%.§Multiple (2 or more) risk factors with 10-year risk for major coronary events ≤20%. ATP III modifies intensity of LDL-lowering therapy required to achieve the goals of therapy according to 10-year risk for CHD.CHD‡ and CHD risk equivalents∥<100<130<90Multiple (2+) risk factors§<130<160<110Zero to 1 risk factor<160<190<130The opinions expressed in this editorial are not necessarily those of the editors or of the American Heart Association.FootnotesCorrespondence to Scott M. Grundy, the Center for Human Nutrition and the Departments of Internal Medicine and Clinical Nutrition, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Blvd, Y3.206, Dallas, TX 75390-9052. E-mail [email protected] References 1 Expert Panel on Detection Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA. 2001; 285: 2508–2509.CrossrefMedlineGoogle Scholar2 Grundy SM. Cholesterol-lowering clinical trials: a historical perspective. In: Grundy SM, ed. Cholesterol-Lowering Therapy: Evaluation of Clinical Trial Evidence. New York, NY: Marcel Dekker, Inc; 2000:1–44.Google Scholar3 National Institutes of Health. National Cholesterol Education Program: second report of the Expert Panel on Detection, Evaluation, and Treatment of high blood cholesterol (Adult Treatment Panel II). Circulation. 1994; 89: 1333–1445.CrossrefMedlineGoogle Scholar4 Krauss RM. Atherogenicity of triglyceride-rich lipoproteins. Am J Cardiol. 1998; 81: 13B–17B.MedlineGoogle Scholar5 Cohn JS, Marcoux C, Davignon J. Detection, quantification, and characterization of potentially atherogenic triglyceride-rich remnant lipoprotein. Arterioscler Thromb Vasc Biol. 1999; 19: 2474–2486.CrossrefMedlineGoogle Scholar6 Havel RJ. Remnant lipoproteins as therapeutic targets. Curr Opin Lipidol. 2000; 11: 615–620.CrossrefMedlineGoogle Scholar7 Frost PH, Davis BR, Burlando AJ, et al. Serum lipids and incidence of coronary heart disease: findings from the Systolic Hypertension in the Elderly Program (SHEP). Circulation. 1996; 94: 2381–2388.CrossrefMedlineGoogle Scholar8 Cui Y, Blumenthal RS, Flaws JA, et al. Non-high-density lipoprotein cholesterol as a predictor of cardiovascular disease mortality. Arch Intern Med. 2001; 161: 1413–1419.CrossrefMedlineGoogle Scholar9 Bittner V, Hardison R, Kelsey SF, et al. Non-high-density lipoprotein-cholesterol levels predict five-year outcome in the Bypass Angioplasty Revascularization Investigation (BARI). Circulation. 2002; 106: 2537-2542.LinkGoogle Scholar10 National Cholesterol Education Program. Report of the Expert Panel on population strategies for blood cholesterol reduction: executive summary. National Heart, Lung and Blood Institute, National Institutes of Health. Arch Intern Med. 1991; 151: 1071–1084.CrossrefMedlineGoogle Scholar11 Gordon DJ, Probstfeld JL, Garrison RJ, et al. High-density lipoprotein cholesterol and cardiovascular disease: four prospective American series. Circulation. 1989; 79: 8–15.CrossrefMedlineGoogle Scholar12 Hulley SB, Rosenman RH, Bawol RD, et al. Epidemiology as a guide to clinical decisions: the associations between triglyceride and coronary heart disease. N Engl J Med. 1980; 302: 1383–1389.CrossrefMedlineGoogle Scholar13 Austin MA, Hokanson JE, Edwards KL. Hypertriglyceridemia as a cardiovascular risk factor. Am J Cardiol. 1998; 81 (suppl 4A): 7B–12B.CrossrefMedlineGoogle Scholar14 Assmann G, Schulte H, Funke H, et al. The emergence of triglycerides as a significant independent risk factor in coronary artery disease. Eur Heart J. 1998; 19 (suppl M): M8–M14.MedlineGoogle Scholar15 Sniderman AD. Counterpoint: to (measure apo) B or not to (measure apo) B: a critique of modern medical decision-making. Clin Chem. 1997; 43: 1310–1314.CrossrefMedlineGoogle Scholar16 Vega GL, Grundy SM. Does measurement of apolipoprotein B have a place in cholesterol management? Arteriosclerosis. 1990; 10: 668–671.LinkGoogle Scholar17 Abate N, Vega GL, Grundy SM. Variability in cholesterol content and physical properties of lipoproteins containing apolipoprotein B-100. Atherosclerosis. 1993; 104: 159–171.CrossrefMedlineGoogle Scholar18 Joint National Committee. The sixth report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. Arch Intern Med. 1997; 157: 2413–2446.CrossrefMedlineGoogle Scholar19 Grundy SM, Cleeman JI, Rifkind BM, et al. Cholesterol lowering in the elderly population. Arch Intern Med. 1999; 159: 1670–1678.CrossrefMedlineGoogle Scholar20 Heart Protection Study Collaborative Group. MRC/BHF heart protection study: randomised placebo-controlled trial of cholesterol-lowering with simvastatin in 20,536 high-risk individuals. Lancet. 2002; 360: 7–22.CrossrefMedlineGoogle Scholar21 Garg A, Grundy SM. Management of dyslipidemia in NIDDM. Diabet Care. 1990; 13: 153–169.CrossrefMedlineGoogle Scholar22 Frost PH, Havel RJ. Rationale for use of non-high-density lipoprotein cholesterol rather than low-density lipoprotein cholesterol as a tool for lipoprotein cholesterol screening and assessment of risk and therapy. Am J Cardiol. 1998; 81 (suppl 4A): 26B–31B.CrossrefMedlineGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Alouffi S Serum bilirubin levels are negatively associated with atherogenic lipids in Saudi subjects with type 2 diabetes: A pilot study, Electronic Journal of General Medicine, 10.29333/ejgm/12777, 20:2, (em444) Dong C, Xian R, Wang G and Cui L (2023) Small Intestinal Bacterial Overgrowth in Patients with Gallbladder Polyps: A Cross-Sectional Study, International Journal of General Medicine, 10.2147/IJGM.S399812, Volume 16, (813-822) Wang C, Pai Y, Lin C, Lee I and Chang M (2022) Renal impairment is one of appropriate predictors of future diabetic peripheral neuropathy: a hospital-based 6-year follow-up study, Scientific Reports, 10.1038/s41598-022-09333-3, 12:1, Online publication date: 1-Dec-2022. 周 文 (2022) Emerging Markers for Cardiovascular Risk Assessment, Advances in Clinical Medicine, 10.12677/ACM.2022.12101324, 12:10, (9155-9161), . Debele G, Hajure M, Wolde H and Yenit M (2021) Incidence and Predictors of Chronic Kidney Disease among Diabetes Mellitus Patients: A Retrospective Follow-Up Study at a Tertiary Health-Care Setting of Ethiopia, Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 10.2147/DMSO.S335572, Volume 14, (4381-4390) Aggarwal D, Kathariya M and Verma D (2021) LDL-C, NON-HDL-C and APO-B for cardiovascular risk assessment: Looking for the ideal marker, Indian Heart Journal, 10.1016/j.ihj.2021.07.013, 73:5, (544-548), Online publication date: 1-Sep-2021. Fernandes F, Fernandes A, Febba A, Leite A, Leite C, Vitalle M, Jung F and Casarini D (2021) Association of Ang-(1–7) and des-Arg9BK as new biomarkers of obesity and cardiometabolic risk factors in adolescents, Hypertension Research, 10.1038/s41440-021-00618-0, 44:8, (969-977), Online publication date: 1-Aug-2021. Vargas-Alarcón G, González-Salazar M, Vázquez-Vázquez C, Hernández-Díaz Couder A, Sánchez-Muñoz F, Reyes-Barrera J, Criales-Vera S, Sánchez-Guerra M, Osorio-Yáñez C and Posadas-Sánchez R (2021) The rs12617336 and rs17574 Dipeptidyl Peptidase-4 Polymorphisms Are Associated With Hypoalphalipoproteinemia and Dipeptidyl Peptidase-4 Serum Levels: A Case-Control Study of the Genetics of Atherosclerotic Disease (GEA) Cohort, Frontiers in Genetics, 10.3389/fgene.2021.592646, 12 Salami A, Okonkwo C, Attah F and Olagoke O (2021) Bioactive Moringa olifera seed extracts attenuates cholesterol gall stones in hyperglycaemic Swiss mice, Comparative Clinical Pathology, 10.1007/s00580-021-03206-3, 30:2, (207-216), Online publication date: 1-Apr-2021. Sniderman A (2021) How ApoB Measurements Could Improve Prevention of Cardiovascular Disease Therapeutic Lipidology, 10.1007/978-3-030-56514-5_29, (545-563), . Maki K, Benes L and Dicklin M (2021) Pathophysiology and Management of Dyslipidemias Associated with Insulin-Resistant States Therapeutic Lipidology, 10.1007/978-3-030-56514-5_16, (307-322), . Khalil H, Abd El Maksoud A, Alian A, El-Hamady W, Daif A, Awad A and Guirgis A (2019) Interruption of Autophagosome Formation in Cardiovascular Disease, an Evidence for Protective Response of Autophagy, Immunological Investigations, 10.1080/08820139.2019.1635619, 49:3, (249-263), Online publication date: 2-Apr-2020. Nam K, Kwon H, Jeong H, Park J, Kwon H and Jeong S (2019) Obesity without metabolic disorder and silent brain infarcts in a neurologically healthy population, International Journal of Obesity, 10.1038/s41366-019-0372-6, 44:2, (362-367), Online publication date: 1-Feb-2020. Levinson S (2019) Non–High-Density Lipoprotein Cholesterol and Guidelines for Cholesterol Lowering in Recent History, Laboratory Medicine, 10.1093/labmed/lmz032, 51:1, (14-23), Online publication date: 2-Jan-2020. Umar U, Syarif S, Nurtanio I, Indrabayu , Woods R, Yoshida M, Miyajima M, Alauddin K, Arifin S, Fadjar A, Rusdin A and Adam A (2020) A real time non-invasive cholesterol monitoring system, MATEC Web of Conferences, 10.1051/matecconf/202033106005, 331, (06005), . Franke D and Connelly M (2020) Nuclear magnetic resonance technology and clinical applications Contemporary Practice in Clinical Chemistry, 10.1016/B978-0-12-815499-1.00011-9, (187-200), . Kurniawan A, Hsu C, Rau H, Lin L and Chao J (2019) Association of kidney function-related dietary pattern, weight status, and cardiovascular risk factors with severity of impaired kidney function in middle-aged and older adults with chronic kidney disease: a cross-sectional population study, Nutrition Journal, 10.1186/s12937-019-0452-4, 18:1, Online publication date: 1-Dec-2019. Katulanda G, Dissanayake H, Katulanda P, Matthews D and Shine B (2019) Among young Sri Lankan patients with diabetes, how do lipid profiles differ between those with and without metabolic syndrome?, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 10.1016/j.dsx.2018.07.002, 13:5, (3057-3063), Online publication date: 1-Sep-2019. Manocha A, Bhargava S, Jain R, Kankra M, Singla P and Chugh P (2018) Non-HDL as a Valid Surrogate Marker of Small Dense LDL in a Young Indian Population, Indian Journal of Clinical Biochemistry, 10.1007/s12291-018-0758-6, 34:3, (263-271), Online publication date: 1-Jul-2019. Yoo H, Kim M, Kim M, Lee A, Jin C, Lee S, Kim T, Lee S and Lee J (2019) The effects of nattokinase supplementation on collagen–epinephrine closure time, prothrombin time and activated partial thromboplastin time in nondiabetic and hypercholesterolemic subjects, Food & Function, 10.1039/C8FO02324G, 10:5, (2888-2893) Wu M, Chen C, Wang Z, Bachman H, Ouyang Y, Huang P, Sadovsky Y and Huang T (2019) Separating extracellular vesicles and lipoproteins via acoustofluidics , Lab on a Chip, 10.1039/C8LC01134F, 19:7, (1174-1182) Kim D, Cho Y, Cho J, Kim S, Lee S and Kim J (2019) Evaluation of the Analytical Performance of Atellica CH 930 Automated Chemistry Analyzer, Laboratory Medicine Online, 10.3343/lmo.2019.9.3.133, 9:3, (133), . Ford N, Behrman J, Hoddinott J, Maluccio J, Martorell R, Ramirez-Zea M and Stein A (2018) Exposure to improved nutrition from conception to age 2 years and adult cardiometabolic disease risk: a modelling study, The Lancet Global Health, 10.1016/S2214-109X(18)30231-6, 6:8, (e875-e884), Online publication date: 1-Aug-2018. Posadas-Sánchez R, Angeles-Martínez J, Pérez-Hernández N, Rodríguez-Pérez J, López-Bautista F, Flores-Dominguez C, Fragoso J, Posadas-Romero C and Vargas-Alarcón G (2018) The IL-10-1082 (rs1800896) G allele is associated with a decreased risk of developing premature coronary artery disease and some IL-10 polymorphisms were associated with clinical and metabolic parameters. The GEA study, Cytokine, 10.1016/j.cyto.2018.02.028, 106, (12-18), Online publication date: 1-Jun-20

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
JamesPei应助自然浩阑采纳,获得10
刚刚
luna完成签到,获得积分10
刚刚
灵活性发布了新的文献求助10
2秒前
葭月十七发布了新的文献求助10
3秒前
知性的新梅完成签到,获得积分20
4秒前
舒心绿柏完成签到,获得积分20
4秒前
5秒前
苦行僧完成签到,获得积分10
5秒前
十里故清欢完成签到,获得积分10
7秒前
lovexz完成签到,获得积分10
8秒前
8秒前
斐然完成签到,获得积分10
8秒前
cbf完成签到,获得积分20
10秒前
章竟完成签到,获得积分10
10秒前
yanght24完成签到,获得积分10
11秒前
11秒前
典雅的宛菡完成签到,获得积分20
11秒前
11秒前
12秒前
青柠发布了新的文献求助10
13秒前
kerio完成签到,获得积分20
14秒前
天天快乐应助cbf采纳,获得10
14秒前
永不停歇奈格里完成签到,获得积分10
15秒前
16秒前
16秒前
小歪同学发布了新的文献求助10
17秒前
17秒前
17秒前
略略略完成签到,获得积分10
18秒前
kerio发布了新的文献求助10
18秒前
18秒前
弹簧豆发布了新的文献求助10
19秒前
20秒前
20秒前
夕夕成玦完成签到,获得积分10
20秒前
濮阳千易发布了新的文献求助10
21秒前
万能图书馆应助Pedro采纳,获得30
21秒前
22秒前
raffia发布了新的文献求助10
22秒前
FashionBoy应助luoqin采纳,获得10
22秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135387
求助须知:如何正确求助?哪些是违规求助? 2786384
关于积分的说明 7777028
捐赠科研通 2442291
什么是DOI,文献DOI怎么找? 1298501
科研通“疑难数据库(出版商)”最低求助积分说明 625124
版权声明 600847