metricas
covid
Annals of Hepatology Characterization of the inflammatory profile in patients with compensated and de...
Journal Information
Vol. 30. Issue S1.
Abstracts Asociación Mexicana de Hepatología (AMH) 2024
(April 2025)
Vol. 30. Issue S1.
Abstracts Asociación Mexicana de Hepatología (AMH) 2024
(April 2025)
Full text access
Characterization of the inflammatory profile in patients with compensated and decompensated liver cirrhosis through cytosines determined by spectroscopy.
Visits
414
Carlos E. Coronel-Castillo1, Gustavo J. Vázquez-Zapien2, Mónica M. Mata-Miranda2, Eira Cerda-Reyes3, Adriana Martínez-Cuazitl2,3
1 Internal Medicine, Military Postgraduate Medical School, Mexico
2 Military School of Medicine, Mexico
3 Research department, Central Military Hospital, Mexico
This item has received
Article information
Abstract
Full Text
Download PDF
Statistics
Figures (1)
Tables (2)
Table 1. Immunoglobulin and cytokine levels by FTIR
Tables
Table 2. Correlation between neutrophil levels and IgM, IL6, IL1β, IL10 and IFN-γ levels
Tables
Show moreShow less
Special issue
This article is part of special issue:
Vol. 30. Issue S1

Abstracts Asociación Mexicana de Hepatología (AMH) 2024

More info
Introduction and Objectives

Inflammatory cytokines influence the progression of cirrhosis and decompensation. The study aims to characterize the inflammatory response of patients with compensated and decompensated liver cirrhosis through inflammatory cytokines and evaluate the state of the disease, type of decompensation, severity and the development of acute on chronic liver failure.

Materials and Patients

Hospitalized patients with a diagnosis of compensated and decompensated liver cirrhosis were included. Upon admission, saliva samples were collected in microcentrifuge tubes to measure cytosines (IL-6, IL-1β, IL-10, ILF-γ and TNF), lipids and immunoglobulins: A, M and G using Fourier transform infrared spectroscopy (FTIR). Clinical and biochemical variables (complete blood count, blood chemistry, liver biochemistry, serum electrolytes, lipid profile and C-reactive protein), MELD 3.0 and Child Pugh scales were included. The statistical analysis was used the SPSS V24 program for continuous quantitative variables expressed in measures of central tendency and dispersion according to the normality of the data, the ordinal quantitative variables were expressed in frequencies and percentages, Spearman correlation analysis and a linear regression analysis were performed, from which a ROC curve and the Youden's J statistic and its sensitivity and specificity were determined, with a statistically significant p <0.05.

Results

It was included 40 patients: 19 compensated and 21 decompensated. The most common decompensation was hepatic encephalopathy. (20%) (MELD 3.0 12.5 ± 3.59 vs 21.61 ±7.47, p<0.000). Statistical significance was found in leukocytes, neutrophils and INR as well as differences in the levels of IgG, IgM, IL-6, IL1β, IFN-γ and IL-10 between the causes of decompensation (Figure 1) and decreased IgM levels. And IFN-γ in decompensated patients compared to compensated patients. A negative correlation was found between neutrophil levels and IgM, IL6, IL1β, IL10 and IFN-γ levels. The linear regression analysis gave the following formula m= 2.648+ (-0.267*infection) + (-0.926*abs1) + (0.084*abs2) + (0.442*abs3) + (-0.051*abs12) + (0.005*IgM) + (-0.064*IFNγ) + (-0.2*Leukocytes) + (0.223*Neutrophils) + (0.006*Urea), R=0.623. With the same formula, AUROC: 0.877 and p value <0.0001, Youden's J statistic cutoff of 1.3913, obtaining sensitivity of 92.1%, and specificity of 78.9%. The correlation with Child-Pugh is negative with IgM levels, while it was no association between the presence of infection and decompensation (X2= 0.053, p= 0.818), an association was indeed observed between Child-Pugh and the presence of infection (X2= 15.126, p= 0.001).

Conclusions

No correlation was found between levels of IgG, IL-6, IL1β, IFN-γ and IL-10 and the MELD 3.0 and Child Pugh scales, there is only a correlation between the Child Pugh clinical stage and IgM. Low levels of IgM and IFN-γ could be markers in patients with decompensated cirrhosis.

Full Text

Ethical statement: The present study was approved by the research committee of the Central Military Hospital with registration number 045/2024. The samples were obtained under informed consent of the patients.

Declaration of interest: None.

Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Table 1.

Immunoglobulin and cytokine levels by FTIR

  Compensated  Decompensated 
IgG (1560–1464 cm−1203.79 ± 49.42  199.71 ±60.90  0.690 
IgA (1285–1237 cm−143.44 ± 12.49  42.19 ± 14.98  0.622 
IgM (1160–1028 cm−1124.35 ± 32.39  110.97 ± 39.0  0.044 
IL-6 (1436–1428 cm−110.94 ± 2.05  10.54 ± 3.06  0.412 
IL-1β (1409–1399 cm−117.10 ± 3.36  15.99 ± 4.88  0.151 
TNF-α (1243–1217 cm−123 ± 7.21  22.47 ± 8.06  0.705 
IFN-γ (978-956 cm−1),  9.78 ± 3.71  8.23 ± 4.55  0.044 
IL-10 (1004–976 cm−115.88 ± 6.29  13.61 ± 6.74  0.059 

IgA, immunoglobulin A; IgG, immunoglobulin G; IgM, immunoglobulin M; IFN-γ, interferon-gamma; IL-1β, interleukin-1 beta; IL-6, interleukin-6; IL-10, interleukin-10; TNF-α, tumor necrosis factor-alpha.

Table 2.

Correlation between neutrophil levels and IgM, IL6, IL1β, IL10 and IFN-γ levels

Neutrophiles  IgG  IgA  IgM  IL6  IL-1β  TNF  IL10  IFN-γ 
Pearson correlation  -0.148  -0.160  -.226*  -.199*  -.214*  -0.174  -.273⁎⁎  -.224* 
Sig. (bilateral)  0.111  0.084  0.014  0.032  0.021  0.061  0.003  0.015 

Figure 1. Differences between the levels of IgG, IgM, IL-6, IL1β, IFN-γ and IL-10 depending on the cause of decompensation.

Download PDF
Article options
Tools