The biological behaviour of 23 Trypanosoma cruzi isolates in Swiss mice was compared. Nineteen isolates were obtained from patients in the acute phase of Chagas disease (13), sylvatic reservoir hosts (Didelphis marsupialis) (3), and triatomine bugs (Rhodnius robustus) (3) from four regions of the State of Amazonas (AM). Four isolates were obtained from chronic chagasic patients in the State of Paraná (PR): three autochthones, and one allochthone from the State of Minas Gerais. Only one isolate was unable to infect the mice. The AM and PR isolates showed the largest number of significant differences from each other. The former had lower mean values in the pre-patent (5.4 days) and patent (4.6 days) periods (PP), with the parasitaemia (Pmax) reaching a peak of 9.9×10(4) blood trypomastigotes (BT)/mL of blood by the 7th day following inoculation. The AM isolates also had higher positivity to fresh-blood examination (FBE) (84.1%) compared to haemoculture (HC) (58.7%) and polymerase chain reaction (PCR) (33.3%), in addition to higher mortality (2.9%). The PR isolates had higher values for PP (18.5 days) and Pmax (99.9×10(4)BT/mL) as well as higher positivity to FBE (87.2%), HC (100%), and PCR (83.3%). The correlations between the biological behaviour of the T. cruzi isolates and the clinical and epidemiological characteristics of Chagas disease are discussed.
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http://dx.doi.org/10.1016/j.exppara.2012.02.016 | DOI Listing |
Chem Rev
December 2024
Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, United States.
Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed and optimized for sequential logic operations. This calls for the development of novel computing units beyond transistors. Inspired by the high efficiency and adaptability of biological neural networks, computing systems mimicking the capabilities of biological structures are gaining more attention.
View Article and Find Full Text PDFIntern Emerg Med
December 2024
Department of Internal Medicine and Medical Therapeutics, University of Pavia, Pavia, Italy.
Eosinophilic oesophagitis (EoE) is a chronic and progressive immune-mediated condition, typically affecting young atopic male adults and potentially leads to organ dysfunction and fibrosis. The clinical spectrum widely varies -from non-troublesome dysphagia to food impaction- and hence the rate of misdiagnosis and diagnostic delay are high, especially when presenting with minor symptoms, such as heartburn and acid regurgitation. There have been several major therapeutic breakthroughs for the management of EoE in recent years.
View Article and Find Full Text PDFChemistry
December 2024
CNRS, Centre de Biophysique Moléculaire, Rue Charles Sadron, 45071, Orléans, FRANCE.
Zinc is an important physiological cation, and its misregulation is implicated in various diseases. It is therefore important to be able to image zinc by non-invasive methods such as Magnetic Resonance Imaging (MRI). In this work, we have successfully synthesized a novel Gd3+-based complex specifically for Zn2+ sensing by MRI.
View Article and Find Full Text PDFSynapse
January 2025
Department of Biochemistry & Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Bangladesh.
Sesamol (SES) and linalool (LIN) are aromatic compounds that have neuroprotective effects. The main purpose of this study is to evaluate the anxiolytic activity of LIN and SES co-treatment on Swiss albino mice and analyze its possible mechanism through in silico study. In this sense, the mice were given the gamma-aminobutyric acid type A receptors (GABA) agonist diazepam (DZP; 3 mg/kg, p.
View Article and Find Full Text PDFVet Sci
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School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Melbourne, VIC 3010, Australia.
The climate change-associated abnormal weather patterns negatively influences the productivity and performance of farm animals. Heat stress is the major detrimental factor hampering production, causing substantial economic loss to the livestock industry. Therefore, it is important to identify heat-tolerant breeds that can survive and produce optimally in any given environment.
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