Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Ocular toxoplasmosis with positive polymerase chain reaction in peripheral blood: report of two cases, São Paulo State, Brazil = Toxoplasmose ocular com reação em cadeia da polimerase positiva em sangue periférico: relato de dois casos, estado de São Paulo, Brasil

Objetivos: Descrever o uso da reação em cadeia da polimerase (PCR) no sangue periférico e demonstrar sua importância no acompanhamento clínico de pacientes com toxoplasmose ocular. Descrição dos casos: Dois pacientes imunocompetentes foram clinicamente diagnosticados com toxoplasmose ocular aguda. Rotineiramente, a avaliação clínica foi feita por fundoscopia com o uso de oftalmoscópio binocular indireto, retinografia colorida, angiografia fluorescente e tomografia de coerência óptica espectral. A sorologia foi realizada por ensaio imunoenzimático (ELISA) e confirmada por ensaio imunoenzimático fluorescente ELFA (IgG, IgM). O diagnóstico molecular foi realizado por PCR em sangue periférico usando o gene B1 de Toxoplasma gondii como marcador. O paciente mais jovem era do sexo masculino, apresentava lesão prévia no olho direito, queixa de baixa acuidade visual no olho esquerdo e estava sob tratamento. O paciente mais velho era do sexo masculino, apresentava descolamento de retina e súbita diminuição de visão no olho direito. A fundoscopia revelou cicatriz coriorretiniana no olho esquerdo. Ambos os pacientes tinham IgG reagente, IgM não reagente e PCR positivo em sangue periférico. Novas amostras de sangue foram coletadas para monitoramento sorológico e molecular e a PCR permaneceu positiva em ambos os casos. Seis semanas após o início do tratamento com sulfadiazina e pirimetamina oral, os resultados do PCR tornaram-se negativos. Conclusões: Os resultados mostram que antígenos de T. gondii podem ser encontrados em sangue periférico durante as reativações oculares e que a PCR parece ser uma boa ferramenta para o acompanhamento de pacientes com toxoplasmose ocula

Ocular toxoplasmosis with positive polymerase chain reaction in peripheral blood – report of two cases, São Paulo State, Brazil

Aims: To describe the use of polymerase chain reaction (PCR) in peripheral blood and demonstrate its importance in the clinical follow-up of patients with ocular toxoplasmosis. Case description: Two immunocompetent patients were clinically diagnosed with acute ocular toxoplasmosis. The routine clinical evaluation consisted of fundus examination using binocular indirect ophthalmoscopy, color fundus photography, fluorescein angiography, and spectral domain optical coherence tomography. The serological diagnosis was made by ELISA (IgM, IgG) and confirmed by ELFA (IgG, IgM). The molecular diagnosis was made by PCR in peripheral blood using the B1 gene of Toxoplasma gondii as marker. The younger patient was male, had previous lesion in the right eye, complained of low visual acuity in the left eye and was under treatment. The older patient was male, had retinal detachment, and presented with sudden loss of acuity in the right eye. The fundus examination revealed chorioretinal scar in the left eye. IgG was reactive, IgM was non-reactive, and PCR was positive in the peripheral blood of both patients. New blood samples were collected for serological and molecular monitoring and PCR remained positive in both cases. Six weeks after treatment with oral sulfadiazine and pyrimethamine, the PCR yielded negative results. Conclusions: The results show that T. gondii antigens may be found in peripheral blood during ocular reactivations and that PCR may be a good tool for the follow-up of patients with ocular toxoplasmosis