Monocyte to High Density Lipoprotein Cholesterol Ratio in Smokers

Background: smoking is a leading cause of mortality. Smoking has been linked to low grade inflammation. Recently the monocyte to high density lipoprotein cholesterol ratio (MHR) emerged as an indicator of inflammation. So we aimed to investigate the relationship between MHR and cigarette smoking. Material and Methods: this was Hospital based cross sectional study. 25-35 years old 200 males were included in the study & divided in two groups. Smoker group comprising 100 smokers having duration of smoking more than 3 years. 100 randomly selected non-smokers were included in the non-smoker group. Detailed history, smoking habits number of cigarette smoked per day and pack year was calculated. Complete blood count was done by procon PE 600 automated analyzer. Total cholesterol, HDL cholesterol, triglyceride was measured on AU 5800 Backmann coulter fully automated biochemical analyzer using enzymatic colorimetric assay. Statistical analysis was done by unpaired student ‘t’ test. Correlation was determined by Pearson correlation Coefficient test. Result: MHR was significantly higher in smokers as compared to non-smokers (14.4 + 2.02, 11.1 + 1.98 respectively). Pearson’s correlation analysis revealed significant positive correlation between pack years, number of cigarette smoked daily and MHR in smokers group. Monocyte to high density lipoprotein can be used as a surrogate marker of inflammation and endothelial dysfunction.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-26
DOI
https://doi.org/10.5281/zenodo.17534954
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monocyte to High Density Lipoprotein Cholesterol Ratio in Smokers

Zenodo (CERN European Organization for Nuclear Research)
Inflammatory Biomarkers in Disease Prognosis
article

Monocyte to High Density Lipoprotein Cholesterol Ratio in Smokers

article en

Abstract

Background: smoking is a leading cause of mortality. Smoking has been linked to low grade inflammation. Recently the monocyte to high density lipoprotein cholesterol ratio (MHR) emerged as an indicator of inflammation. So we aimed to investigate the relationship between MHR and cigarette smoking. Material and Methods: this was Hospital based cross sectional study. 25-35 years old 200 males were included in the study & divided in two groups. Smoker group comprising 100 smokers having duration of smoking more than 3 years. 100 randomly selected non-smokers were included in the non-smoker group. Detailed history, smoking habits number of cigarette smoked per day and pack year was calculated. Complete blood count was done by procon PE 600 automated analyzer. Total cholesterol, HDL cholesterol, triglyceride was measured on AU 5800 Backmann coulter fully automated biochemical analyzer using enzymatic colorimetric assay. Statistical analysis was done by unpaired student ‘t’ test. Correlation was determined by Pearson correlation Coefficient test. Result: MHR was significantly higher in smokers as compared to non-smokers (14.4 + 2.02, 11.1 + 1.98 respectively). Pearson’s correlation analysis revealed significant positive correlation between pack years, number of cigarette smoked daily and MHR in smokers group. Monocyte to high density lipoprotein can be used as a surrogate marker of inflammation and endothelial dysfunction.

Zenodo (CERN European Organization for Nuclear Research)
Government Medical College (IN)
Good health and well-being
Openalex Percentile: Top 43%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.