Evidence map›Paper›PMID 35249932›Full record

ArticleJournal of atherosclerosis and thrombosis2023

Circadian Rhythm of Subspecies of Low-Density Lipoprotein-Cholesterol and High-Density Lipoprotein-Cholesterol in Healthy Subjects and Patients with Type 2 Diabetes.

Toshiyuki Hayashi, Masumi Ai, Satoshi Goto, Marie Nakamura, Hiroe Nagaike, Risa Suzuki, Yasuko Abe, Motoko Ohta, Yasuki Ito, Tsutomu Hirano

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Blood Sampling on Admission in Patients with Acute Coronary Syndrome.Journal of atherosclerosis and thrombosis · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 8 institutions in 2 countries.

Toshiyuki HayashiDepartment of Medicine, Division of Diabetes, Metabolism, and Endocrinology, Showa University School of Medicine.
Masumi AiDepartment of Insured Medical Care Management, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU).
Satoshi GotoDepartment of Medicine, Division of Diabetes, Metabolism, and Endocrinology, Showa University School of Medicine.
Marie NakamuraDepartment of Insured Medical Care Management, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU).
Hiroe NagaikeDepartment of Medicine, Division of Diabetes, Metabolism, and Endocrinology, Showa University School of Medicine.
Risa SuzukiDepartment of Family Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU).
Yasuko AbeDepartment of Insured Medical Care Management, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU).
Motoko OhtaVaccine & Diagnostic R&D Department, Denka Co., Ltd.
Yasuki ItoVaccine & Diagnostic R&D Department, Denka Co., Ltd.
Tsutomu HiranoDepartment of Medicine, Division of Diabetes, Metabolism, and Endocrinology, Showa University School of Medicine.
Showa University · JPTokyo Medical and Dental University · JPDenka (Japan) · JPDenso (United States) · USDokkyo Medical University Saitama Medical Center · JPEbina General Hospital · JPOsaka Nishi Clinic · JPYokufukai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe established automated assay kits for quantifying small dense low-density lipoprotein (sdLDL)-cholesterol (C), LDL-triglyceride (TG), and high-density lipoprotein (HDL)3-C, and apolipoprotein (apo)E-rich HDL-C, and these have been recognized as sensitive biomarkers for predicting coronary artery disease. We investigated the circadian rhythms of these novel lipids to determine if fasting is required to determine basal levels.

methodsForty-eight inpatients with type 2 diabetes and 19 healthy volunteers were studied. Blood samples were collected at seven time points, which were obtained after an overnight fast, before and 2 h after each meal, and before the next breakfast. sdLDL-C, LDL-TG, remnant-like particle (RLP)-C, TG-rich lipoprotein (TRL-C), HDL3-C, and apoE-rich HDL-C were measured by the homogeneous methods. NonHDL-C, large buoyant (lb)LDL-C and HDL2-C were calculated by subtracting sdLDL-C from LDL-C or HDL3-C from HDL-C, respectively.

resultsSerum TG levels were significantly increased after meals in both healthy participants and patients with diabetes. RLP-C and TRL-C were also increased postprandially. LDL-TG, LDL-C, nonHDL-C, HDL2,3-C, and apoE-rich HDL-C did not exhibit significant fluctuation during the day in healthy participants and patients with diabetes. sdLDL-C was slightly increased postprandially in subjects with diabetes (1-2 mg/dl, 3%-9%), though its increase was not significant compared to the baseline (fasting) level. Significant postprandial reduction was observed with LDL-C and lbLDL-C. There was no influence of statin therapy or oral anti-diabetes drugs on the circadian rhythm of LDL-C subspecies.

conclusionsSubtle postprandial increase in sdLDL-C is considered a negligible level in general clinical practice. Fasting is not mandatory to measure basal concentrations of LDL and HDL subspecies.

Indexed as

Diabetes Mellitus, Type 2Apolipoproteins ECholesterol, HDLCholesterol, LDLCircadian RhythmHealthy VolunteersHumansLipoproteins, HDLTriglyceridesApolipoproteins ECholesterol, HDLCholesterol, LDLLipoproteins, HDLTriglyceridesDiabetesHDL-cholesterolLDL-cholesterolPostprandial lipemiaSubspecies

Identifiers

PMID35249932
PMCPMC9899707
OpenAlexW4214809491

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.