Retraction Note: Study of liver toxicity and DNA damage due to exposure to the pesticide Mancozeb in an experimental animal model - A pilot model

The article "Study of liver toxicity and DNA damage due to exposure to the pesticide Mancozeb in an experimental animal model - A pilot model", by N.D. Suarez Uribe, M.F. Pezzini, J. Dall'Agnol, N. Marroni, S. Benitez, D. Benedetti, J. Da Silva, C.T. Cerski, E. Dallegrave, S. Macedo, S.C.W.S.E.F. de Oliveira, D. Joveleviths, published in Eur Rev Med Pharmacol Sci 2023; 27 (13): 6374-6383-DOI: 10.26355/eurrev_202307_32997-PMID: 37458654 has been retracted by the Editor in Chief for the following reasons: After publication, concerns were raised by an unidentified reader who underlined some similarities between this publication and a previous publication published in the Journal of Clinical and Experimental Gastroenterology. After being informed, the authors claimed the previous journal published the article without consent, and, therefore, the authors promptly withdrew the previous publication. The retraction published by the other journal does not contain any information regarding the reason for withdrawal. As a matter of fact, the journal does not have any evidence about the authors' claim and still considers this research a duplicate publication. For the above-mentioned reasons, the Editor in Chief decided to withdraw the manuscript. This manuscript has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/32997.

Study of liver toxicity and DNA damage due to exposure to the pesticide Mancozeb in an experimental animal model - A pilot model

OBJECTIVE

Mancozeb is one of the most widely used Ethylenebisdithiocarbamates fungicides in Brazil. A pilot experimental model was created to evaluate its potential hepatotoxic effect.

MATERIALS AND METHODS

An experimental study was performed with 27 male Wistar rats (3 groups). The Control Group received a saline solution, while Intervention Groups I and II received 250 mg/kg and 500 mg/kg of Mancozeb respectively, once a week, for 12 weeks. Anthropometric measurements were carried out, and the marker of biological exposure in urine was dosed. Biochemical tests, evaluation micronucleus count, comet and oxidative stress markers assay, and histological assessment of the liver were also performed.

RESULTS

The hepatotoxic effect of Mancozeb was confirmed by anthropometric measurements, genotoxicity, and oxidative stress. Statistically significant results were found when the exposed groups were compared to the control group.

CONCLUSIONS

These results were supported by inflammatory infiltration and balloonization in the treated groups. The experimental model effectively demonstrated the deleterious effect of Mancozeb on the liver.

Cultural Problems Associated with the Implementation of eHealth

A major hurdle in eHealth implementation is that it is difficult to put into practice. In this study, the primary aim was to identify the main barrier associated with implementing eHealth. This study surveyed IMIA members from May to November 2015. From the results, it is clear that medical professionals were recording most of their data by hand. This paper culture is a paradigm that is difficult to break. Cultural factors are the primary barrier in eHealth implementation.

Electronegative LDL induces priming and inflammasome activation leading to IL-1β release in human monocytes and macrophages

BACKGROUND

Electronegative LDL (LDL(−)), a modified LDL fraction found in blood, induces the release of inflammatory mediators in endothelial cells and leukocytes. However, the inflammatory pathways activated by LDL(−) have not been fully defined. We aim to study whether LDL(−) induced release of the first-wave proinflammatory IL-1β in monocytes and monocyte-derived macrophages (MDM) and the mechanisms involved.

METHODS

LDL(−) was isolated from total LDL by anion exchange chromatography. Monocytes and MDM were isolated from healthy donors and stimulated with LDL(+) and LDL(−) (100 mg apoB/L).

RESULTS

In monocytes, LDL(−) promoted IL-1β release in a time-dependent manner, obtaining at 20 h-incubation the double of IL-1β release induced by LDL(−) than by native LDL. LDL(−)-induced IL-1β release involved activation of the CD14-TLR4 receptor complex. LDL(−) induced priming, the first step of IL-1β release, since it increased the transcription of pro-IL-1β (8-fold) and NLRP3 (3-fold) compared to native LDL. Several findings show that LDL(−) induced inflammasome activation, the second step necessary for IL-1β release. Preincubation of monocytes with K+ channel inhibitors decreased LDL(−)-induced IL-1β release. LDL(−) induced formation of the NLRP3-ASC complex. LDL(−) triggered 2-fold caspase-1 activation compared to native LDL and IL-1β release was strongly diminished in the presence of the caspase-1 inhibitor Z-YVAD. In MDM, LDL(−) promoted IL-1β release, which was also associated with caspase-1 activation.

CONCLUSIONS

LDL(−) promotes release of biologically active IL-1β in monocytes and MDM by induction of the two steps involved: priming and NLRP3 inflammasome activation.

SIGNIFICANCE

By IL-1β release, LDL(−) could regulate inflammation in atherosclerosis.

Nursing Software for Emergency Triage (NSET)

Determining the priority of attention in an Emergency Room (ER) has always been a difficult issue. Priority is determined with a simple triage system as people arrive at the hospital. It is important to establish how long they can wait for treatment. In order to obtain the best assessment of patients' conditions, we built a Nursing Software for Emergency Triage (NSET). The objective of this work was to assess the efficacy of the NSET versus the triage process without any software (TWS). Results showed that the NSET we built was a substantial help. With this software, we decreased significantly:1) the length of the triage system process, 2) the waiting time of patients in the waiting room, 3) the number of complaints and 4) the number of patients who walk away. In conclusion, the NSET improves and helps to define more accurately a patient's risk. NSET helps in the emergency department triage.