Liver hydatid disease: Still a problem

Bea, Victoria Busto; Andrés, Jesús Barrio; Álvarez, Carolina Almohalla

doi:10.1016/j.medcle.2016.06.011

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…5 In the liver, growth of the larva compresses the organ, and the liver is impaired by inflammation reaction, compression, and direct erosion, which can lead to severe complications, including liver failure, severe cirrhosis, portal hypertension, and ascites. 6 Therefore, a better understanding of and comprehensive investigation into hepatic hydatid disease is needed.…”

Section: Introductionmentioning

confidence: 99%

Identification of candidate biomarkers of liver hydatid disease via microarray profiling, bioinformatics analysis, and machine learning

et al. 2021

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Objectives Liver echinococcosis is a severe zoonotic disease caused by Echinococcus (tapeworm) infection, which is epidemic in the Qinghai region of China. Here, we aimed to explore biomarkers and establish a predictive model for the diagnosis of liver echinococcosis. Methods Microarray profiling followed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis was performed in liver tissue from patients with liver hydatid disease and from healthy controls from the Qinghai region of China. A protein–protein interaction (PPI) network and random forest model were established to identify potential biomarkers and predict the occurrence of liver echinococcosis, respectively. Results Microarray profiling identified 1152 differentially expressed genes (DEGs), including 936 upregulated genes and 216 downregulated genes. Several previously unreported biological processes and signaling pathways were identified. The FCGR2B and CTLA4 proteins were identified by the PPI networks and random forest model. The random forest model based on FCGR2B and CTLA4 reliably predicted the occurrence of liver hydatid disease, with an area under the receiver operator characteristic curve of 0.921. Conclusion Our findings give new insight into gene expression in patients with liver echinococcosis from the Qinghai region of China, improving our understanding of hepatic hydatid disease.

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Section: Introductionmentioning

confidence: 99%

Identification of candidate biomarkers of liver hydatid disease via microarray profiling, bioinformatics analysis, and machine learning

et al. 2021

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Modeling, molecular dynamics and docking studies of a full-length Echinococcus granulosus 2DBD nuclear receptor

Cancela

Esteves

Alvite

et al. 2022

Journal of Biomolecular Structure and Dynamics

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Evaluation of the Protoscolicidal Effectiveness of Hypertonic Saline, Silver Nitrate, Ethanol, Using Sponge Pad Method and In-jecting into Fertile Hydatid Cysts

Jahromi¹,

Rafiei²,

Rahdar³

et al. 2022

IJPA

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Background: We aimed to evaluate currently protoscolices agents by using two methods including injection and impregnated sponges with protoscolices agents. Methods: Hypertonic saline 20%, silver nitrate 0.5% and Ethanol 96% were injected into sheep hydatid cysts. Then, after different exposure times (5, 10, and 15 min), the protoscolices were aspirated from the cyst and viability of the protoscolices were evaluated microscopically using vital staining. In the second part, the live protoscolices were sprayed on the soaked sponge with the mentioned protoscolicidal agents. After different exposure times live protoscolices were counted microscopically. One-way ANOVA and Tukey tests were used for showing difference significant between studied groups. Results: Cyst injection method showed that ethanol, Nacl and AgNo3 have 80%, 60% and 6% protoscolocidal efficacy, respectively (P<0.05). In sponge method the most and fastest protoscolocidal efficacy were observed in all used protoscolicidal agents. Conclusion: Ethanol and NaCl and AgNo3 with sponge method is more effective than the injection of protoscolices agents in the cyst.

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Liver hydatid disease: Still a problem

Cited by 3 publications

References 25 publications

Identification of candidate biomarkers of liver hydatid disease via microarray profiling, bioinformatics analysis, and machine learning

Identification of candidate biomarkers of liver hydatid disease via microarray profiling, bioinformatics analysis, and machine learning

Modeling, molecular dynamics and docking studies of a full-length Echinococcus granulosus 2DBD nuclear receptor

Evaluation of the Protoscolicidal Effectiveness of Hypertonic Saline, Silver Nitrate, Ethanol, Using Sponge Pad Method and In-jecting into Fertile Hydatid Cysts

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