Evidence map›Paper›PMID 39439602›Full record

ArticleCureus2024

Macrophage Migration Inhibitory Factor Gene Polymorphism in Acute Coronary Syndrome.

Likitha M J, Sharan Badiger, Gurushantappa S Kadakol

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

3 authors.

Likitha M JMedicine, Shri B. M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to Be University), Vijayapura, IND.
Sharan BadigerMedicine, Shri B. M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to Be University), Vijayapura, IND.
Gurushantappa S KadakolGenetics, Shri B. M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to Be University), Vijayapura, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Acute coronary syndrome (ACS) is a result of the interplay between genetic and environmental risk factors. A unique cytokine macrophage migration inhibitory factor (MIF), expressed by inflammatory cells, acts via a cluster of differentiation 74 (CD74) and a cluster of differentiation 44 (CD44) receptors, leading to the recruitment of mononuclear neutrophils and lymphocytes. This cascade results in exaggerated inflammation and atherosclerosis. MIF's distinctive characteristics and functions make it an essential target for achieving therapeutic atherosclerosis regression, setting it apart from other cytokines. Hence, this study aims to detect the MIF gene polymorphism in ACS patients and to assess the incidence of in-hospital major adverse cardiac events (MACE). Methodology This study was conducted in a tertiary care hospital. A total of 90 patients who had ACS were enrolled, of which 83 were included, and seven patients were excluded based on exclusion criteria (four cases of old myocardial infarction, two cases of valvular heart disease, and one case of dilated cardiomyopathy). After detailed clinical examination, laboratory evaluation, and genetic test, patients were divided into two groups based on MIF gene mutation. Five patients who had positive MIF gene mutation were termed as group A (n=5), and 78 patients with negative MIF gene mutation were termed as group B (n=78). The statistical analysis for the collected data was done using IBM SPSS Statistics for Windows, Version 20 (Released 2011; IBM Corp., Armonk, New York, USA). Results Out of the 83 patients in this study, the male gender was predominant; there were three male patients in group A (n=3; 60%) and 48 male patients in group B (n=48; 61.5%). The most common age group was between 60 and 69 years; two of five patients (n=2; 40%) in group A and 30 out of 78 patients (n=30; 38.4%) in group B belonged to this age group. The common symptom was chest pain present in five patients in group A (n=5; 100%) and 76 patients (n=76; 97.5%) in group B. A common risk factor in group A patients was tobacco chewing, seen in three patients (n=3; 60%), and group B smoking was the most common risk factor seen in 30 patients (n=30; 38.5%). The most common ECG finding in group A was ST-elevation myocardial infarction (STEMI), seen in three patients (n=3; 60%), and in group B, the commonest ECG finding was non-ST-elevation myocardial infarction (NSTEMI) seen in 23 patients (n=23; 29.5%). The most common MACE was heart failure seen in two patients in group A (n=2; 40%) and in 50 patients in group B (n=50; 64.1%), followed by arrhythmias seen in one patient in group A (n=1; 20%), and eight patients in group B (n=8; 10.3%). Conclusion This study demonstrated a significant positive association between MIF gene polymorphism and the occurrence of cardiovascular events like myocardial infarction, with a statistically significant p-value (p=0.001). This study showed the presence of the disease in young age groups and individuals without conventional risk factors, underscoring the importance of genetic studies. Genetic risk factors independently contribute to the pathophysiology of coronary artery disease; hence, understanding the mechanisms of these genes and incorporating genetic testing into standard clinical practice can help future research to develop therapeutic agents that can specifically target these genes.

Indexed as

acute coronary syndromegenetic polymorphismgenetic studymacrophage migration inhibitory factormajor adverse cardiac event

Identifiers

PMID39439602
PMCPMC11495821

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