Evidence map›Paper›PMID 27170431›Full record

ArticleThe Journal of veterinary medical science2016

Analysis of lipoprotein profiles of healthy cats by gel-permeation high-performance liquid chromatography.

Hisashi Mizutani, Toshinori Sako, Hiroko Okuda, Nobuaki Arai, Koji Kuriyama, Akihiro Mori, Itaru Yoshimura, Hidekazu Koyama

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 1 country.

Hisashi MizutaniVeterinary Internal Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan, Musashino, Tokyo 180-8602, Japan.
Toshinori Sako
Hiroko Okuda
Nobuaki Arai
Koji Kuriyama
Akihiro Mori
Itaru Yoshimura
Hidekazu Koyama
Nippon Veterinary and Life Science University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Density gradient ultracentrifugation (DGUC) and gel electrophoresis are conventionally used to obtain lipoprotein profiles of animals. We recently applied high-performance liquid chromatography with a gel permeation column (GP-HPLC) and an on-line dual enzymatic system to dogs for lipoprotein profile analysis. We compared the GP-HPLC with DGUC as a method to obtain a feline lipoprotein profile. The lipoprotein profiles showed large and small peaks, which corresponded to high-density lipoprotein (HDL) and low-density lipoprotein (LDL), respectively, whereas very low-density lipoprotein (VLDL) and chylomicron (CM) were only marginally detected. This profile was very similar to that of dogs reported previously. Healthy cats also had a small amount of cholesterol-rich particles distinct from the normal LDL or HDL profile. There was no difference in lipoprotein profiles between the sexes, but males had a significantly larger LDL particle size (P=0.015). This study shows the feasibility of GP-HPLC for obtaining accurate lipoprotein profiles with small sample volumes and provides valuable reference data for healthy cats that should facilitate diagnoses.

Indexed as

AnimalsCatsCholesterolChromatography, High Pressure LiquidChylomicronsElectrophoresis, Agar GelLipoproteinsLipoproteins, HDLLipoproteins, LDLLipoproteins, VLDLMaleCholesterolChylomicronsLipoproteinsLipoproteins, HDLLipoproteins, LDLLipoproteins, VLDL

Identifiers

PMID27170431
PMCPMC5053928
OpenAlexW2345857074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.