Evidence map›Paper›PMID 24627243›Full record

ArticleMolecular and cellular biochemistry2014

L-Cysteine supplementation reduces high-glucose and ketone-induced adhesion of monocytes to endothelial cells by inhibiting ROS.

Preeti Kanikarla-Marie, Sushil K Jain

Abstract read
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In one paragraph

Article in Molecular and cellular biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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  7. Non-ionic thiolated cyclodextrins - the next generation.International journal of nanomedicine · 2018
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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

2 authors at 1 institution in 1 country.

Preeti Kanikarla-MarieDepartment of Pediatrics, Louisiana State University Health Sciences Center, 1501 Kings Highway, P.O. Box 33932, Shreveport, LA, 71130, USA.
Sushil K Jain
Louisiana State University Health Sciences Center Shreveport · US

Funding

Ketosis, Vascular Inflammation and Its Therapy in Type 1 Diabetic PatientsR01DK072433 · NIDDK · LOUISIANA STATE UNIV HSC SHREVEPORT · PI JAIN, SUSHIL K · 2007 to 2010
$1.3M
NIDDK NIH HHS R01 DK072433
6 · The paper itself

Abstract

Type 1 diabetic (T1D) patients are hyperglycemic and also show elevated blood levels of ketone bodies, particularly acetoacetate (AA) and β-hydroxybutyrate (BHB). T1D patients have a greater risk of developing endothelial dysfunction and cardiovascular disease (CVD). Supplementation with cysteine-rich milk proteins has been shown to be beneficial in improving various biomarkers of endothelial dysfunction and CVD. This study examines whether L-cysteine (LC) per se prevents monocyte adhesion to endothelial cells, a critical step in endothelial dysfunction. Human umbilical vein endothelial cells and THP-1 monocytes were pretreated with and without LC (500 μM) for 2 h and then exposed to ketones (AA or BHB, 0-4 mM) and/or high glucose (HG) (25 mM) for 24 h. This study shows that LC reduces HG and ketone-induced ROS production, ICAM-1 expression, and the adhesion of monocytes to endothelial cells. This study provides a biochemical mechanism by which milk protein supplementation can be beneficial in preventing the excess endothelial dysfunction and CVD seen in diabetic patients.

Indexed as

Cell AdhesionCysteineDietary SupplementsEndothelial CellsGlucoseHumansHuman Umbilical Vein Endothelial CellsIntercellular Adhesion Molecule-1KetonesModels, BiologicalMonocytesReactive Oxygen SpeciesCysteineGlucoseIntercellular Adhesion Molecule-1KetonesReactive Oxygen Species

Identifiers

PMID24627243
OpenAlexW1988203907

What OpenQuestion holds

Textmetadata
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.