Evidence map›Paper›PMID 36355715›Full record

ArticlePloS one2022

Human lipoproteins comprise at least 12 different classes that are lognormally distributed.

Tomokazu Konishi, Risako Fujiwara, Tadaaki Saito, Nozomi Satou, Yurie Hayashi, Naoko Crofts, Ikuko Iwasaki, Yoshihisa Abe, Shinpei Kawata, Tatsuya Ishikawa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Tomokazu KonishiGraduate School of Bioresource Sciences, Akita Prefectural University, Akita, Japan.ORCID 0000-0003-4826-6265
Risako FujiwaraResearch Institute of Akita Cerebrospinal and Cardiovascular Center, Akita Prefectural Hospital Organization, Akita, Japan.
Tadaaki SaitoGraduate School of Bioresource Sciences, Akita Prefectural University, Akita, Japan.
Nozomi SatouGraduate School of Bioresource Sciences, Akita Prefectural University, Akita, Japan.
Yurie HayashiGraduate School of Bioresource Sciences, Akita Prefectural University, Akita, Japan.
Naoko CroftsGraduate School of Bioresource Sciences, Akita Prefectural University, Akita, Japan.
Ikuko IwasakiGraduate School of Bioresource Sciences, Akita Prefectural University, Akita, Japan.
Yoshihisa AbeCardiovascular internal medicine, Akita City Hospital, Akita, Japan.
Shinpei KawataResearch Institute of Akita Cerebrospinal and Cardiovascular Center, Akita Prefectural Hospital Organization, Akita, Japan.
Tatsuya IshikawaResearch Institute of Akita Cerebrospinal and Cardiovascular Center, Akita Prefectural Hospital Organization, Akita, Japan.
Akita Prefectural University · JPAkita University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the results of HPLC, a gentler and rapid separation method in comparison with the conventional ultracentrifugation, for 55 human serum samples. The elution patterns were analysed parametrically, and the attribute of each class was confirmed biochemically. Human samples contained 12 classes of lipoproteins, each of which may consist primarily of proteins. There are three classes of VLDLs. The level of each class was distributed lognormally, and the standard amount and the 95% range were estimated. Some lipoprotein classes with a narrow range could become ideal indicators of specific diseases. This lognormal character suggests that the levels are controlled by the synergy of multiple factors; multiple undesirable lifestyle habits may drastically increase the levels of specific lipoprotein classes. Lipoproteins in medical samples have been measured by enzymatic methods that coincide with conventional ultracentrifugation; however, the high gravity and time required for ultracentrifugation can cause sample degradation. Actually, the enzymatic methods measured the levels of several mixed classes. The targets of enzymatic methods have to be revised.

Indexed as

LipoproteinsLipoproteins, VLDLChromatography, High Pressure LiquidHumansLipoproteins, LDLUltracentrifugationLipoproteinsLipoproteins, LDLLipoproteins, VLDL

Identifiers

PMID36355715
PMCPMC9648703
OpenAlexW4308708649

What OpenQuestion holds

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LicenceCC BY
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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.