Triglyceride-rich lipoprotein binding and uptake by heparan sulfate proteoglycan receptors in a CRISPR/Cas9 library of Hep3B mutants.

Binding and uptake of triglyceride-rich lipoproteins (TRLs) in mice depend on heparan sulfate and the hepatic proteoglycan, syndecan-1 (SDC1). Alteration of glucosamine N-sulfation by deletion of glucosamine N-deacetylase-N-sulfotransferase 1 (Ndst1) and 2-O-sulfation of uronic acids by deletion of uronyl 2-O-sulfotransferase (Hs2st) led to diminished lipoprotein metabolism, whereas inactivation of glucosaminyl 6-O-sulfotransferase 1 (Hs6st1), which encodes one of the three 6-O-sulfotransferases, had little effect on lipoprotein binding. However, other studies have suggested that 6-O-sulfation may be important for TRL binding and uptake. In order to explain these discrepant findings, we used CRISPR/Cas9 gene editing to create a library of mutants in the human hepatoma cell line, Hep3B. Inactivation of EXT1 encoding the heparan sulfate copolymerase, NDST1 and HS2ST dramatically reduced binding of TRLs. Inactivation of HS6ST1 had no effect, but deletion of HS6ST2 reduced TRL binding. Compounding mutations in HS6ST1 and HS6ST2 did not exacerbate this effect indicating that HS6ST2 is the dominant 6-O-sulfotransferase and that binding of TRLs indeed depends on 6-O-sulfation of glucosamine residues. Uptake studies showed that TRL internalization was also affected in 6-O-sulfation deficient cells. Interestingly, genetic deletion of SDC1 only marginally impacted binding of TRLs but reduced TRL uptake to the same extent as treating the cells with heparin lyases. These findings confirm that SDC1 is the dominant endocytic proteoglycan receptor for TRLs in human Hep3B cells and that binding and uptake of TRLs depend on SDC1 and N- and 2-O-sulfation as well as 6-O-sulfation of heparan sulfate chains catalyzed by HS6ST2.

Elevated Levels of Apolipoprotein CIII Increase the Risk of Postprandial Hypertriglyceridemia.

Background: To investigate possible mechanisms of postprandial hypertriglyceridemia (PPT), we analyzed serum lipid and apolipoprotein (Apo) AI, B, CII and CIII levels before and after a high-fat meal. Methods: The study has been registered with the China Clinical Trial Registry (registration number:ChiCTR1800019514; URL: http://www.chictr.org.cn/index.aspx). We recruited 143 volunteers with normal fasting triglyceride (TG) levels. All subjects consumed a high-fat test meal. Venous blood samples were obtained during fasting and at 2, 4, and 6 hours after the high-fat meal. PPT was defined as TG ≥2.5 mmol/L any time after the meal. Subjects were divided into two groups according to the high-fat meal test results: postprandial normal triglyceride (PNT) and PPT. We compared the fasting and postprandial lipid and ApoAI, ApoB, ApoCII and ApoCIII levels between the two groups. Results: Significant differences were found between the groups in fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), TG-rich lipoprotein remnants (TRLRs), ApoB, ApoCIII, ApoAI/ApoB and ApoCII/ApoCIII. The insulin, HOMA-IR, TG, TC, LDL-C, non-HDL-C, TRLRs, ApoB, ApoCIII and ApoCII/ApoCIII values were higher in the PPT group, while the ApoAI/ApoB ratio was higher in the PNT group. The postprandial TG level peaked in the PNT group 2 hours after the meal but was significantly higher in the PPT group and peaked at 4 hours. TRLRs gradually increased within 6 hours after the high-fat meal in both groups. The area under the curve (AUC) of TG and TRLRs and the AUC increment were higher in the PPT group (P < 0.001). ApoCIII peaked in the PNT group 2 hours after the meal and gradually decreased. ApoCIII gradually increased in the PPT group within 6 hours after the meal, exhibiting a greater AUC increment (P < 0.001). Fasting ApoCIII was positively correlated with age, systolic and diastolic blood pressure, body mass index (BMI), waist circumference, TC, TG, LDL-C, non-HDL-C, TRLRs, and ApoB (P<0.05). ApoCIII was an independent risk factor of PPT after adjustment for BMI, waist circumference, TC, LDL-C, and ApoB (P < 0.001, OR=1.188). Conclusions: Elevated ApoCIII levels may cause PPT.

Changes in lipoprotein subfractions following menopause in the Longitudinal Study of Adult Health (ELSA-Brasil).

INTRODUCTION: It is unclear how aging and menopause-induced lipid changes contribute to the elevated cardiovascular risk in menopausal women. We examined the association between lipid profiles and menopausal status and duration of menopause in the Longitudinal Study of Adult Health (ELSA-Brasil). METHODS: This is a cross-sectional analysis of baseline data from women in the ELSA-Brasil, stratified by duration of menopause into 5 groups: pre-menopause, <2 years, 2-5.9 years, 6-9.9 years and ≥10 years of menopause, excluding menopause <40 years or of non-natural cause; also excluded were women using lipid-lowering drugs or hormone replacement. Comparisons were performed using ANOVA with Bonferroni correction. Associations of menopause categories and time since menopause with lipid variables obtained by vertical auto-profile were tested using multiple linear regression. RESULTS: From 1916 women, postmenopausal groups had unadjusted higher total cholesterol, LDL-c, real LDL-c, IDL-c, VLDL-c, triglycerides, non-HDL-c, VLDL3-c, triglyceride-rich lipoprotein remnants (TRL-c) and buoyant LDL-c concentrations than pre-menopausal women, with no difference among postmenopausal groups. In multiple linear regression, duration of menopause <2 years was significantly associated with TRL-c [7.21 mg/dL (95% CI 3.59-10.84)] and VLDL3-c [2.43 mg/dL (95%CI 1.02-3.83)]. No associations of menopausal categories with HDL-c or LDL-c subfractions were found, and nor were associations of time since menopause with lipid subfractions. CONCLUSIONS: In a large sample of Brazilian women, deterioration of the lipid profile following menopause was confirmed, which could contribute to the increased cardiovascular risk. Our findings suggest a postmenopausal elevation in triglyceride-rich lipoprotein remnants. How lipoprotein subfractions change after the onset of menopause warrants investigation in studies with appropriate designs.