ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023
Correlation Between the Levels of ANGPTL3, ANGPTL4, ANGPTL8 and Postprandial Triglyceride-Rich Lipoprotein (TRL).
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Postprandial triglyceride-rich lipoproteins as predictors of carotid atherosclerosis in individuals with normal fasting lipid profiles: a prospective follow-up study.Frontiers in endocrinology · 2025Article
- Correlation Between the Levels of Fasting and Postprandial ApoB48 with Metabolic Syndrome: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate the effects of different angiopoietin-like proteins (ANGPTLs) on postprandial hypertriglyceridemia (PPT) by analyzing changes in serum lipid, ANGPTL3, ANGPTL4, and ANGPTL8 levels before and after a high-fat diet in individuals with normal fasting lipid and oral glucose tolerance test results. Patients and Methods: Exactly 103 volunteers were recruited for an oral fat tolerance test (OFTT). Blood samples were obtained at 0, 2, and 4 h after eating to detect relevant indicators. PPT was defined as triglyceride (TG) levels ≥ 2.5 mmol/L. According to the test results, the participants were divided into two groups: postprandial normal triglycerides (PNT) and PPT. The levels of blood lipids and ANGPTL3, ANGPTL4, and ANGPTL8 were compared between the two groups. Results: There were differences in the body mass index (BMI), waist circumference (WC), fasting total cholesterol (TC), TG, low-density lipoprotein cholesterol (LDL-C), triglyceride-rich lipoprotein cholesterol (TRL-C), non-high-density lipoprotein cholesterol (non-HDL-C), apolipoprotein B (ApoB), ApoA1/ApoB, fasting blood glucose (FBG), fasting insulin (FINS), ANGPTL4, and ANGPTL8 between the two groups. In the PNT group, the TG level increased from baseline at 2 and 4 h, TRL-C increased from baseline at 4 h, and ANGPTL8 decreased from baseline at 2 and 4 h. After OFTT, the levels of TG, TRL-C, ANGPTL3, and ANGPTL4 in the PPT group gradually increased; ANGPTL8 gradually decreased. Fasting ANGPTL3 was positively associated with age, TC, HDL-C, TRL-C, and ApoA1, and negatively associated with systolic blood pressure. Fasting ANGPTL4 was positively correlated with weight, WC, BMI, TC, TG, LDL-C, TRL-C, non-HDL-C, ApoB, FBG, and FINS, and negatively correlated with ApoA1/ApoB and fasting ANGPTL8. Binary logistic regression analysis indicated that ANGPTL4 and ANGPTL8 were significant predictors of PPT. Conclusion: PPT occurrence is closely associated with changes in ANGPTL4 and ANGPTL8 levels.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.