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Gabaldón-Figueira JC, Skjefte M, Longhi S, Escabia E, García LJ, Ros-Lucas A, Martínez-Peinado N, Muñoz-Calderón A, Gascón J, Schijman AG, Alonso-Padilla J. Practical diagnostic algorithms for Chagas disease: a focus on low resource settings. Expert Rev Anti Infect Ther 2023; 21:1287-1299. [PMID: 37933443 DOI: 10.1080/14787210.2023.2279110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/31/2023] [Indexed: 11/08/2023]
Abstract
INTRODUCTION Chagas disease, caused by parasite Trypanosoma cruzi, is the most important neglected tropical disease in the Americas. Two drugs are available for treatment, but access to them is challenging, in part due to complex diagnostic algorithms. These are stage-dependent, involve multiple tests, and are ill-adapted to the reality of vast areas where the disease is endemic. Molecular and serologic tools are used to detect acute and chronic infections, with the performance of the latter showing geographic differences. Breakthroughs in the development of new diagnostic tools include the validation of a loop-mediated isothermal amplification assay for acute infections (T. cruzi-LAMP), and the regional validation of several rapid diagnostic tests (RDTs) for chronic infection, which simplify testing in resource-limited settings. The literature search was carried out in the MEDLINE database until 1 August 2023. AREAS COVERED This review outlines existing algorithms, and proposes new ones focused on point-of-care testing. EXPERT OPINION Integrating point-of-care testing into existing diagnostic algorithms in certain endemic areas will increase access to timely diagnosis and treatment. However, additional research is needed to validate the use of these techniques across a wider geography, and to better understand the cost-effectiveness of their large-scale implementation.
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Affiliation(s)
| | - Malia Skjefte
- Population Services International (PSI), Washington, MA, USA
| | - Silvia Longhi
- Laboratorio de Biología Molecular de la Enfermedad de Chagas, Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr Héctor Torres", INGEBI-CONICET, Buenos Aires, Argentina
| | - Elisa Escabia
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic-University of Barcelona, Barcelona, Spain
| | - Lady Juliette García
- Laboratorio de Biología Molecular de la Enfermedad de Chagas, Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr Héctor Torres", INGEBI-CONICET, Buenos Aires, Argentina
| | - Albert Ros-Lucas
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic-University of Barcelona, Barcelona, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
| | - Nieves Martínez-Peinado
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic-University of Barcelona, Barcelona, Spain
| | - Arturo Muñoz-Calderón
- Laboratorio de Biología Molecular de la Enfermedad de Chagas, Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr Héctor Torres", INGEBI-CONICET, Buenos Aires, Argentina
| | - Joaquim Gascón
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic-University of Barcelona, Barcelona, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
| | - Alejandro Gabriel Schijman
- Laboratorio de Biología Molecular de la Enfermedad de Chagas, Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr Héctor Torres", INGEBI-CONICET, Buenos Aires, Argentina
| | - Julio Alonso-Padilla
- Barcelona Institute for Global Health (ISGlobal), Hospital Clinic-University of Barcelona, Barcelona, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
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Flores-Chavez MD, Abras A, Ballart C, Ibáñez-Perez I, Perez-Gordillo P, Gállego M, Muñoz C, Moure Z, Sulleiro E, Nieto J, García Diez E, Simón L, Cruz I, Picado A. Parasitemia Levels in Trypanosoma cruzi Infection in Spain, an Area Where the Disease Is Not Endemic: Trends by Different Molecular Approaches. Microbiol Spectr 2022; 10:e0262822. [PMID: 36190410 PMCID: PMC9603785 DOI: 10.1128/spectrum.02628-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/13/2022] [Indexed: 01/04/2023] Open
Abstract
Trypanosoma cruzi infection has expanded globally through human migration. In Spain, the mother-to-child route is the mode of transmission contributing to autochthonous Chagas disease (CD); however, most people acquired the infection in their country of origin and were diagnosed in the chronic phase (imported chronic CD). In this context, we assessed the quantitative potential of the Loopamp Trypanosoma cruzi detection kit (Sat-TcLAMP) based on satellite DNA (Sat-DNA) to determine parasitemia levels compared to those detected by real-time quantitative PCRs (qPCRs) targeting Sat-DNA (Sat-qPCR) and kinetoplast DNA minicircles (kDNA-qPCR). This study included 173 specimens from 39 autochthonous congenital and 116 imported chronic CD cases diagnosed in Spain. kDNA-qPCR showed higher sensitivity than Sat-qPCR and Sat-TcLAMP. According to all quantitative approaches, parasitemia levels were significantly higher in congenital infection than in chronic CD (1 × 10-1 to 5 × 105 versus >1 × 10-1 to 6 × 103 parasite equivalents/mL, respectively [P < 0.001]). Sat-TcLAMP, Sat-qPCR, and kDNA-qPCR results were equivalent at high levels of parasitemia (P = 0.381). Discrepancies were significant for low levels of parasitemia and older individuals. Differences between Sat-TcLAMP and Sat-qPCR were not qualitatively significant, but estimations of parasitemia using Sat-TcLAMP were closer to those by kDNA-qPCR. Parasitemia changes were assessed in 6 individual cases in follow-up, in which trends showed similar patterns by all quantitative approaches. At high levels of parasitemia, Sat-TcLAMP, Sat-qPCR, and kDNA-qPCR worked similarly, but significant differences were found for the low levels characteristic of late chronic CD. A suitable harmonization strategy needs to be developed for low-level parasitemia detection using Sat-DNA- and kDNA-based tests. IMPORTANCE Currently, molecular equipment has been introduced into many health care centers, even in low-income countries. PCR, qPCR, and loop-mediated isothermal amplification (LAMP) are becoming more accessible for the diagnosis of neglected infectious diseases. Chagas disease (CD) is spreading worldwide, and in countries where the disease is not endemic, such as Spain, the parasite Trypanosoma cruzi is transmitted from mother to child (congenital CD). Here, we explore why LAMP, aimed at detecting T. cruzi parasite DNA, is a reliable option for the diagnosis of congenital CD and the early detection of reactivation in chronic infection. When the parasite load is high, LAMP is equivalent to any qPCR. In addition, the estimations of T. cruzi parasitemia in patients living in Spain, a country where the disease is not endemic, resemble natural evolution in areas of endemicity. If molecular tests are introduced into the diagnostic algorithm for congenital infection, early diagnosis and timely treatment would be accomplished, so the interruption of vertical transmission can be an achievable goal.
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Affiliation(s)
- Maria D. Flores-Chavez
- National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
- Fundación Mundo Sano-España, Madrid, Spain
| | - Alba Abras
- Departament de Biologia, Universitat de Girona, Girona, Spain
| | - Cristina Ballart
- Secció de Parasitologia, Departament de Biologia, Sanitat i Medi Ambient, Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona, Barcelona, Spain
| | - Ismael Ibáñez-Perez
- National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Montserrat Gállego
- Secció de Parasitologia, Departament de Biologia, Sanitat i Medi Ambient, Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona, Barcelona, Spain
- ISGlobal, Barcelona, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
| | - Carmen Muñoz
- Servei de Microbiologia, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Institut de Recerca Biomèdica Sant Pau, Barcelona, Spain
- Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Zaira Moure
- Servicio de Microbiología, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Elena Sulleiro
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
- Microbiology Department, Vall d’Hebron Hospital, PROSICS Barcelona, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Javier Nieto
- National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
| | - Emilia García Diez
- National Centre for Microbiology, Instituto de Salud Carlos III, Madrid, Spain
| | - Lorena Simón
- National Centre of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
| | - Israel Cruz
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III (CIBERINFEC, ISCIII), Madrid, Spain
- National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
- Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland
| | - Albert Picado
- Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland
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Kendir G, Bae HJ, Kim J, Jeong Y, Bae HJ, Park K, Yang X, Cho Y, Kim J, Jung SY, Köroğlu A, Jang DS, Ryu JH. The effects of the ethanol extract of Cordia myxa leaves on the cognitive function in mice. BMC Complement Med Ther 2022; 22:215. [PMID: 35948926 PMCID: PMC9367120 DOI: 10.1186/s12906-022-03693-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/30/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Cordia myxa L. (Boraginaceae) is widely distributed in tropical regions and it’s fruits, leaves and stem bark have been utilized in folk medicine for treating trypanosomiasis caused by Trypanosoma cruzi. A population-based study showed that T. cruzi infection is associated with cognitive impairments. Therefore, if C. myxa has ameliorating activities on cognitive function, it would be useful for both T. cruzi infection and cognitive impairments.
Methods
In this study, we evaluated the effects of an ethanol extract of leaves of C. myxa (ELCM) on memory impairments and sensorimotor gating deficits in mice. The phosphorylation level of protein was observed by the Western blot analysis.
Results
The administration of ELCM significantly attenuated scopolamine-induced cognitive dysfunction in mice, as measured by passive avoidance test and novel object recognition test. Additionally, in the acoustic startle response test, we observed that the administration of ELCM ameliorated MK-801-induced prepulse inhibition deficits. We found that these behavioral outcomes were related with increased levels of phosphorylation phosphatidylinositol 3-kinase (PI3K), protein kinase B (Akt) and glycogen synthase kinase 3 beta (GSK-3β) in the cortex and extracellular signal-regulated kinase (ERK) and cAMP response element-binding protein (CREB) in the hippocampus by western blot analysis.
Conclusions
These results suggest that ELCM would be a potential candidate for treating cognitive dysfunction and sensorimotor gating deficits observed in individuals with neurodegenerative diseases.
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Hongjaisee S, Jabjainai Y, Sakset S, Preechasuth K, Ngo-giang-huong N, Khamduang W. Comparison of Simple RNA Extraction Methods for Molecular Diagnosis of Hepatitis C Virus in Plasma. Diagnostics (Basel) 2022; 12:1599. [PMID: 35885505 PMCID: PMC9322174 DOI: 10.3390/diagnostics12071599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 06/21/2022] [Accepted: 06/26/2022] [Indexed: 11/16/2022] Open
Abstract
Nucleic acid extraction from biological samples is an important step for hepatitis C virus (HCV) diagnosis. However, such extractions are mostly based on silica-based column methodologies, which may limit their application for on-site diagnosis. A simple, rapid, and field-deployable method for RNA extraction is still needed. In this study, we evaluated the efficacy of four simple RNA extraction methods for the detection of HCV in plasma samples: a silica-membrane-based method, a magnetic-beads-based method, boiling with diethyl pyrocarbonate (DEPC)-treated distilled water, and using a commercial lysis buffer. HCV RNA was detected using both real-time reverse transcription polymerase chain reaction (RT-PCR) and reverse transcription loop-mediated isothermal amplification (RT-LAMP). Using real-time RT-PCR, extracted RNA from the silica-membrane-based and magnetic-beads-based methods had a 100% detection rate for RNA extraction from plasma. Using RT-LAMP, extracted RNA from the silica-membrane-based method showed a 66% detection rate, while the magnetic-beads-based method had a 62% detection rate. In summary, magnetic-beads-based extraction can be used as an alternative RNA extraction method for on-site HCV detection. Boiling with DEPC-treated distilled water was not appropriate for low HCV load samples, and boiling with a lysis buffer was not recommended.
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