Using the rDNA Internal Transcribed Spacer 1 to Identify the Invasive Pest Rhagoletis cerasi (Diptera: Tephritidae) in North America

The cherry-infesting fruit fly Rhagoletis cerasi Loew is a significant commercial pest in Europe that has recently invaded North America. To date, it has been trapped only in Canada and northwestern counties of New York. It has the potential to spread further and threaten production and movement of cherry commodities. Timely diagnosis of the pest will facilitate surveys and quick response to new detections. Adult morphology of the pest is distinct from other flies in North America. However, when flies are significantly damaged on traps or the immature life stages are found in fruits, molecular methods of identification are important to confirm presence and host-use records. Other than DNA sequencing of genes from flies which takes over a day to complete, there are no timely methods of molecular identification for this pest. In this study, we report the first sequence record of the internal transcribed spacer 1 (ITS1) from R. cerasi and develop two diagnostic tests for the pest based on ITS1 differences among species in North America. The tests use loop-mediated isothermal amplification (LAMP) and multiplex, conventional polymerase chain reaction (mcPCR) technologies that target the same region of the R. cerasi ITS1 sequence. Both tests performed well when tested against collections of R. cerasi from North America and Europe, generating Diagnostic Sensitivity estimates of 98.4–99.5%. Likewise, the tests had relatively high estimates of Diagnostic Specificity (97.8–100%) when tested against Rhagoletis Loew species present in North America that also use cherry as a developmental host

¿Y dónde están las mujeres? las artistas en la historia del arte

The Article: “Where are the women? Female artists in Art History” presents a recent didactic exhibition at Artequin Museum Viña del Mar. Its objective was to introduce children to the work of artists of different periods and to reflect about the presence and absence of female artists in the history of art, highlighting gender equity contents as part of an educational program consisting of tours, modules and didactic museography to motivate the dialogue about gender, roles and stereotypes. The educational program analyzed how the gender stereotypes influence all aspects of our lives.El artículo: “¿Y dónde están las mujeres? Las artistas en la historia del arte” presenta una exposición didáctica exhibida en el Museo Artequín Viña del Mar, entre julio 2015 y junio 2016, la que tuvo como objetivo aproximar a niñas y niños a obras de artistas de diferentes épocas para invitarles a reflexionar en torno a la presencia y ausencia de la mujer en la historia del arte, trabajando contenidos de valoración de la equidad de género, a partir de un programa educativo compuesto por recorridos, módulos y una museografía didáctica, motivando al diálogo sobre temas de género, roles y estereotipos. El programa educativo analizaba cómo los estereotipos de género influyen en todos los aspectos de nuestra vida

Interstitial photothermal therapy generates durable treatment responses in neuroblastoma

Please click Download on the upper right corner to see the full descriptio

A big data approach to myocyte membrane analysis: using populations of models to understand the cellular causes of heart failure

Experimentally-calibrated populations of models (ePoMs) allow to elucidate the trends hidden behind large amounts of data, but they have never been used as a means to monitor the temporal evolution of a heart's electrical activity. This work aimed at using ePoMs to understand the cell membrane anomalies that lead to heart failure. A population of the Tusscher-Noble-Noble-Panfilov model was calibrated to the activation-recovery intervals measured from epicardial electrograms acquired during a Physioheart experiment. A Mann-Whitney-Wilcoxon U-test was performed on the statistical distributions of the calibrated parameters, at different time points during the experiment, to elucidate the physiology changes that would have led to the resulting ePoMs. The methodology developed in this paper could detect the specific pathological ion dynamics responsible for the abnormal electrical behavior observed during the experiment. Furthermore, the analysis of the electrical activities was capable of detection of pathologies at an earlier stage when compared to the analysis of the cardiac output alone. The use of big data analytics proved to be more effective than the traditional signal analysis approach in predicting heart failure; additionally, this approach accounts for variabilities in both the healthy and the pathological conditions

A modeling and machine learning approach to ECG feature engineering for the detection of ischemia using pseudo-ECG

Early detection of coronary heart disease (CHD) has the potential to prevent the millions of deaths that this disease causes worldwide every year. However, there exist few automatic methods to detect CHD at an early stage. A challenge in the development of these methods is the absence of relevant datasets for their training and validation. Here, the ten Tusscher-Panfilov 2006 model and the O'Hara-Rudy model for human myocytes were used to create two populations of models that were in concordance with data obtained from healthy individuals (control populations) and included inter-subject variability. The effects of ischemia were subsequently included in the control populations to simulate the effects of mild and severe ischemic events on single cells, full ischemic cables of cells and cables of cells with various sizes of ischemic regions. Action potential and pseudo-ECG biomarkers were measured to assess how the evolution of ischemia could be quantified. Finally, two neural network classifiers were trained to identify the different degrees of ischemia using the pseudo-ECG biomarkers. The control populations showed action potential and pseudo-ECG biomarkers within the physiological ranges and the trends in the biomarkers commonly identified in ischemic patients were observed in the ischemic populations. On the one hand, inter-subject variability in the ischemic pseudo-ECGs precluded the detection and classification of early ischemic events using any single biomarker. On the other hand, the neural networks showed sensitivity and positive predictive value above 95%. Additionally, the neural networks revealed that the biomarkers that were relevant for the detection of ischemia were different from those relevant for its classification. This work showed that a computational approach could be used, when data is scarce, to validate proof-of-concept machine learning methods to detect ischemic events

COVID-19 and chronic diabetes: The perfect storm for reactivation TB?

Background: The Coronavirus disease 2019 (COVID-19) pandemic is predicted to have a net negative effect on tuberculosis (TB) control, with an estimated excess of 6.3 million tuberculosis cases and 1.4 million deaths by 2025. Programmatic issues like the lockdown of TB services affect all patients, while biosocial factors have a differential impact on an individual’s risk for TB or adverse TB outcomes. Case presentation: We report three cases of incident TB after resolution of COVID-19 episodes.Coincidently, all cases shared a common risk factor: a chronic history poorly-controlled diabetes. Conclusions: Our findings alert to the threat posed by the synergy between COVID-19 and diabetes, on TB reactivation. In medium- to high-risk settings for TB, we recommend implementation of routine screening for latent TB infection in these cases, and preventive TB treatment in those who are positive. Published version of this presentation: Aguillón-Durán, G.P., Prieto-Martínez, E., Ayala, D. et al. COVID-19 and chronic diabetes: the perfect storm for reactivation tuberculosis?: a case series. J Med Case Reports 15, 621 (2021). https://doi.org/10.1186/s13256-021-03193-

Ejaculation-sparing thulium laser enucleation of the prostate (ES-ThuLEP): outcomes on a large cohort

Purpose: To assess the effects of a new ejaculation-sparing thulium laser enucleation of the prostate (ES-ThuLEP) technique on sexual functions and micturition, in patients with lower urinary tract symptoms secondary to benign prostatic hyperplasia (BPH) and to evaluate how the surgical technique of ES-ThuLEP can lead to ejaculation preservation. Methods: A prospective study was carried out between January 2015 and January 2018 on patients with surgical indication for BPH, who wished to preserve ejaculation. The patients were treated with ES-ThuLEP and were evaluated before and 3 and 6 months after surgery. Three validated questionnaires (ICIQ-MLUTSsex, IIEF-5 and IPSS) were used to assess changes in ejaculation, erectile function and urinary symptoms. Uroflowmetry (Qmax and Qavg), post-void residual volume and voided volume were also evaluated, to assess micturition improvement. Patients with moderate to severe erectile dysfunction were excluded. Statistical analysis was performed with the Student\u2019s t test, Chi-square test and logistic regression analysis. Results: Two hundred and eighty three patients were enrolled. Ejaculation was spared in 203 and 219 patients at 3 and 6 months after surgery. No significant differences were observed between erectile function before and after surgery: baseline IIEF-5 = 16.2 \ub1 4.47 vs 16.7 \ub1 2.9 (p = 0.419) and 17.7 \ub1 3.2 (p = 0.410) at 3 and 6 months. Significant improvement in urinary symptoms was achieved: baseline IPSS = 19.4 \ub1 7.24 vs 5.8 \ub1 4.3 (p = 0.032) and 3.9 \ub1 4.1 (p = 0.029) at 3 and 6 months. Conclusion: ES-ThuLEP effectively preserved ejaculation in over two thirds of the patients without compromising micturition improvement or erectile function. ES-ThuLEP could be a valid treatment option for BPH in young and sexually active men

Escarificación de semillas de Indigofera hirsuta (Linneaus), Canavalia maritima (Thouars) y Crotalaria longirostrata (Hook)

El objetivo del estudio fue determinar los mejores tratamientos de escarificación para propiciar la germinación en semillas de Indigofera hirsuta, Canavalia marítima y Crotalaria longirostrata. Las semillas fueron colectadas en la región de la costa de Oaxaca, México, y sometidas a los siguientes tratamientos según la especie: C. Maritima los tratamientos fueron los siguientes: Químico 0 (testigo), 10, 15 20, 30, 40 y 60 minutos en ácido sulfúrico al 98% y físico, lijado de las semillas. Para I. hirsuta se utilizaron dos tiempos de inmersión en agua de 12 ó 24 horas y químico de 0 (testigo) 20, 30 y 60 minutos en ácido sulfúrico. Para C. longirostrata 0 (testigo), 20, 30 y 60 minutos en ácido sulfúrico. Se utilizaron 4 réplicas de 100 semillas por tratamiento los resultados fueron sometidos a un análisis de varianza y de regresión. En C. maritima, el mayor porcentaje de germinación a los 7 días se consiguió con escarificación mecánica (46Ó2,71%) y para I. hirsuta y C. longirostrata 20 minutos (93Ó3,37%) y 60 minutos (99Ó1,16%) en ácido sulfúrico en agitación, respectivamente. Las semillas de Canavalia pueden ser lijadas fácilmente y las semillas de menor tamaño como la I. hirsuta y la C. longirostrata pueden escarificarse con ácido sulfúrico, siendo tratamientos viables para aplicación en campo

A prospective cross-sectional study of tuberculosis in elderly Hispanics reveals that BCG vaccination at birth is protective whereas diabetes is not a risk factor

Background: Aging increases the risk of tuberculosis (TB) and its adverse outcomes, but most studies are based on secondary analyses, and few are in Hispanics. Diabetes is a risk factor for TB in adults, but its contribution in the elderly is unknown. We aimed to identify the role of diabetes and other risk factors for TB in elderly Hispanics. Methods: Cross-sectional study among newly-diagnosed TB patients, recent contacts (ReC), or community controls (CoC) totaling 646 participants, including 183 elderly (\u3e60 years; 43 TB, 80 ReC, 60 CoC) and 463 adults (18 to 50 years; 80 TB, 301 ReC and 82 CoC). Host characteristics associated with TB and latent Mycobacterium tuberculosis infection (LTBI) were identified in the elderly by univariable and confirmed by multivariable logistic regression. Results: LTBI was more prevalent among the elderly CoC (55% vs. 23.2% in adults; p\u3c0.001), but not in ReC (elderly 71.3% vs. adult 63.8%); p = 0.213). Risk factors for TB in the elderly included male sex (adj-OR 4.33, 95% CI 1.76, 10.65), smoking (adj-OR 2.55, 95% CI 1.01, 6.45) and low BMI (adj-OR 12.34, 95% CI 4.44, 34.33). Unexpectedly, type 2 diabetes was not associated with TB despite its high prevalence (adj-OR 0.38, 95% CI 0.06, 2.38), and BCG vaccination at birth was protective (adj-OR 0.16, 95% CI 0.06, 0.45). Conclusions: We report novel distinctions in TB risk factors in the elderly vs. adults, notably in diabetes and BCG vaccination at birth. Further studies are warranted to address disparities in this vulnerable, understudied population

COVID-19 and chronic diabetes: the perfect storm for reactivation tuberculosis?: a case series

Background The coronavirus disease 2019 pandemic is predicted to have a net negative effect on tuberculosis control, with an estimated excess of 6.3 million tuberculosis cases and 1.4 million deaths by 2025. Programmatic issues such as the lockdown of tuberculosis services affect all patients, while biosocial factors have a differential impact on an individual’s risk for tuberculosis or adverse tuberculosis outcomes. Case presentation We report three Hispanic cases of incident tuberculosis (two males, 43 and 44 years old; one female, 49 years old) after resolution of coronavirus disease episodes. Coincidentally, all cases shared a common risk factor: a chronic history poorly controlled diabetes. Conclusions Our findings alert to the threat posed by the synergy between coronavirus disease and diabetes, on tuberculosis reactivation. In medium- to high-risk settings for tuberculosis, we recommend implementation of routine screening for latent tuberculosis infection in these cases, and preventive tuberculosis treatment in those who are positive