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Moreira Sarmiento C, Crowder G, Meatherall B, Bezemer J, Hwang Y, Gordon A, Mumtaz A, Jackson B, Ramírez JD, Paniz-Mondolfi A, Franco-Paredes C, Bajrovic V. Challenges in the treatment of cutaneous leishmaniasis caused by L. braziliensis in four travelers: a case series. Ther Adv Infect Dis 2024; 11:20499361241274254. [PMID: 39553833 PMCID: PMC11569493 DOI: 10.1177/20499361241274254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 07/04/2024] [Indexed: 11/19/2024] Open
Abstract
We describe a group of four travelers returning to the United States and Canada who acquired Leishmania braziliensis infection in the Peruvian Amazon. Pentavalent antimonials are the preferred treatment option for cutaneous leishmaniasis (CL) in most endemic countries in Central and South America. However, we initially treated our patients with liposomal amphotericin B (LAB) and miltefosine since these are the only two available Food and Drug Administration approved drugs in the United States. Refractory disease was common as three of the four travelers required repeated courses of miltefosine and two also received LAB. One patient required intravenous therapy with meglumine antimoniate (NMG), and one received intralesional NMG. Given the increasing number of cases of CL identified in the United States, there is an urgent need for expanded access to pentavalent antimonials for treating leishmaniasis acquired in Central and South America.
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Affiliation(s)
- Carolina Moreira Sarmiento
- Department of Infectious Diseases at Mount Sinai Morningside/West, 419 W 114th St, Floor 13, New York, NY 10025, USA
| | - Guy Crowder
- Franciscan Health Travel Well, Indianapolis, IN, USA
| | | | - Jacob Bezemer
- Hospital del día Shell, Fundación Misión Cristiana de Salud, Canton Mera, Ecuador
| | | | - Ariel Gordon
- Department of Infectious Diseases at Mount Sinai Morningside/West, New York, NY, USA
| | - Aisha Mumtaz
- Department of Dermatology at Mount Sinai Hospital, New York, NY, USA
| | - Brittany Jackson
- Department of Infectious Diseases at Mount Sinai Morningside/West, New York, NY, USA
| | - Juan David Ramírez
- Department of Pathology, Molecular and Cell-Based Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Alberto Paniz-Mondolfi
- Department of Pathology, Molecular and Cell-Based Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Carlos Franco-Paredes
- Hospital Infantil de Mexico, Federico Gomez, Fort Collins, CO, Mexico
- Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, USA
| | - Valida Bajrovic
- Department of Infectious Diseases at Mount Sinai Morningside/West, New York, NY, USA
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Leal JFDC, Barroso DH, Trindade NS, de Miranda VL, Gurgel-Gonçalves R. Automated Identification of Cutaneous Leishmaniasis Lesions Using Deep-Learning-Based Artificial Intelligence. Biomedicines 2023; 12:12. [PMID: 38275373 PMCID: PMC10813291 DOI: 10.3390/biomedicines12010012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/12/2023] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
The polymorphism of cutaneous leishmaniasis (CL) complicates diagnosis in health care services because lesions may be confused with other dermatoses such as sporotrichosis, paracocidiocomycosis, and venous insufficiency. Automated identification of skin diseases based on deep learning (DL) has been applied to assist diagnosis. In this study, we evaluated the performance of AlexNet, a DL algorithm, to identify pictures of CL lesions in patients from Midwest Brazil. We used a set of 2458 pictures (up to 10 of each lesion) obtained from patients treated between 2015 and 2022 in the Leishmaniasis Clinic at the University Hospital of Brasilia. We divided the picture database into training (80%), internal validation (10%), and testing sets (10%), and trained and tested AlexNet to identify pictures of CL lesions. We performed three simulations and trained AlexNet to differentiate CL from 26 other dermatoses (e.g., chromomycosis, ecthyma, venous insufficiency). We obtained an average accuracy of 95.04% (Confidence Interval 95%: 93.81-96.04), indicating an excellent performance of AlexNet in identifying pictures of CL lesions. We conclude that automated CL identification using AlexNet has the potential to assist clinicians in diagnosing skin lesions. These results contribute to the development of a mobile application to assist in the diagnosis of CL in health care services.
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Affiliation(s)
- José Fabrício de Carvalho Leal
- Graduate Program in Tropical Medicine, Center for Tropical Medicine, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil;
- Laboratory of Medical Parasitology and Vector Biology, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil; (N.S.T.); (V.L.d.M.)
| | - Daniel Holanda Barroso
- Postgraduate Program in Medical Sciences, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil;
| | - Natália Santos Trindade
- Laboratory of Medical Parasitology and Vector Biology, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil; (N.S.T.); (V.L.d.M.)
| | - Vinícius Lima de Miranda
- Laboratory of Medical Parasitology and Vector Biology, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil; (N.S.T.); (V.L.d.M.)
| | - Rodrigo Gurgel-Gonçalves
- Graduate Program in Tropical Medicine, Center for Tropical Medicine, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil;
- Laboratory of Medical Parasitology and Vector Biology, Faculty of Medicine, University of Brasília–UnB, Brasília 70904-970, Brazil; (N.S.T.); (V.L.d.M.)
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Gupta D, Singh PK, Yadav PK, Narender T, Patil UK, Jain SK, Chourasia MK. Emerging strategies and challenges of molecular therapeutics in antileishmanial drug development. Int Immunopharmacol 2023; 115:109649. [PMID: 36603357 DOI: 10.1016/j.intimp.2022.109649] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 12/16/2022] [Accepted: 12/24/2022] [Indexed: 01/05/2023]
Abstract
Molecular therapy refers to targeted therapies based on molecules which have been intelligently directed towards specific biomolecular structures and include small molecule drugs, monoclonal antibodies, proteins and peptides, DNA or RNA-based strategies, targeted chemotherapy and nanomedicines. Molecular therapy is emerging as the most effective strategy to combat the present challenges of life-threatening visceral leishmaniasis, where the successful human vaccine is currently unavailable. Moreover, current chemotherapy-based strategies are associated with the issues of ineffective targeting, unavoidable toxicities, invasive therapies, prolonged treatment, high treatment costs and the development of drug-resistant strains. Thus, the rational approach to antileishmanial drug development primarily demands critical exploration and exploitation of biochemical differences between host and parasite biology, immunocharacteristics of parasite homing, and host-parasite interactions at the molecular/cellular level. Following this, the novel technology-based designing and development of host and/or parasite-targeted therapeutics having leishmanicidal and immunomodulatory activity is utmost essential to improve treatment efficacy. Thus, the present review is focused on immunological and molecular checkpoint targets in host-pathogen interaction, and molecular therapeutic prospects for Leishmania intervention, and the challenges ahead.
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Affiliation(s)
- Deepak Gupta
- Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar 470003, M.P., India; Division of Pharmaceutics and Pharmacokinetics, CSIR-Central Drug Research Institute, Lucknow 226031, U.P., India
| | - Pankaj K Singh
- Division of Pharmaceutics and Pharmacokinetics, CSIR-Central Drug Research Institute, Lucknow 226031, U.P., India; Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research, Hyderabad 500037, Telangana, India
| | - Pavan K Yadav
- Division of Pharmaceutics and Pharmacokinetics, CSIR-Central Drug Research Institute, Lucknow 226031, U.P., India
| | - Tadigoppula Narender
- Division of Medicinal and Process Chemistry, CSIR-Central Drug Research Institute, Lucknow 226031, U.P., India
| | - Umesh K Patil
- Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar 470003, M.P., India
| | - Sanjay K Jain
- Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar 470003, M.P., India
| | - Manish K Chourasia
- Division of Pharmaceutics and Pharmacokinetics, CSIR-Central Drug Research Institute, Lucknow 226031, U.P., India.
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