Genomic characterization of Puccinia triticina using molecular marker technology / Caracterização genômica de Puccinia triticina usando tecnologia de marcadores moleculares

Leaf rust, caused by Puccinia triticina, is the most common rust disease of wheat. The fungus is an obligate parasite capable of producing infectious urediniospores. To study the genetic structure of the leaf rust population 20 RAPD primers were evaluated on 15 isolates samples collected in Pakistan. A total of 105 RAPD fragments were amplified with an average of 7 fragments per primer. The number of amplified fragments varied from 1 to 12. GL Decamer L-07 and GL Decamer L-01 amplified the highest number of bands (twelve) and primer GL Decamer A-03 amplified the lowest number of bands i.e one. Results showed that almost all investigated isolates were genetically different that confirms high genetic diversity within the leaf rust population. Rust spores can follow the migration pattern in short and long distances to neighbor areas. Results indicated that the greatest variability was revealed by 74.9% of genetic differentiation within leaf rust populations. These results suggested that each population was not completely identical and high gene flow has occurred among the leaf rust population of different areas. The highest differentiation and genetic distance among the Pakistani leaf rust populations were detected between the leaf rust population in NARC isolate (NARC-4) and AARI-11and the highest similarity was observed between NARC isolates (NARC-4) and (NARC-5). The present study showed the leaf rust population in Pakistan is highly dynamic and variable.

A ferrugem da folha, causada por Puccinia triticina, é a ferrugem mais comum do trigo. O fungo é um parasita obrigatório, capaz de produzir urediniósporos infecciosos. Para estudar a estrutura genética da população de ferrugem da folha, 20 primers RAPD foram avaliados em 15 amostras de isolados coletadas no Paquistão. Um total de 105 fragmentos RAPD foram amplificados com uma média de 7 fragmentos por primer. O número de fragmentos amplificados variou de 1 a 12. GL Decamer L-07 e GL Decamer L-01 amplificaram o maior número de bandas (doze), e o primer GL Decamer A-03 amplificou o menor número de bandas, ou seja, um. Os resultados mostraram que quase todos os isolados investigados eram geneticamente diferentes, o que confirma a alta diversidade genética na população de ferrugem da folha. Os esporos de ferrugem podem seguir o padrão de migração em distâncias curtas e longas para áreas vizinhas. Os resultados indicaram que a maior variabilidade foi revelada por 74,9% da diferenciação genética nas populações de ferrugem. Esses resultados sugeriram que cada população não era completamente idêntica e um alto fluxo gênico ocorreu entre a população de ferrugem da folha de diferentes áreas. A maior diferenciação e distância genética entre as populações de ferrugem da folha do Paquistão foram detectadas entre a população de ferrugem da folha no isolado NARC (NARC-4) e AARI-11 e a maior similaridade foi observada entre os isolados NARC (NARC-4) e (NARC-5). O presente estudo mostrou que a população de ferrugem da folha no Paquistão é altamente dinâmica e variável.

Genomic characterization of Puccinia triticina using molecular marker technology.

Leaf rust, caused by Puccinia triticina, is the most common rust disease of wheat. The fungus is an obligate parasite capable of producing infectious urediniospores. To study the genetic structure of the leaf rust population 20 RAPD primers were evaluated on 15 isolates samples collected in Pakistan. A total of 105 RAPD fragments were amplified with an average of 7 fragments per primer. The number of amplified fragments varied from 1 to 12. GL Decamer L-07 and GL Decamer L-01 amplified the highest number of bands (twelve) and primer GL Decamer A-03 amplified the lowest number of bands i.e one. Results showed that almost all investigated isolates were genetically different that confirms high genetic diversity within the leaf rust population. Rust spores can follow the migration pattern in short and long distances to neighbor areas. Results indicated that the greatest variability was revealed by 74.9% of genetic differentiation within leaf rust populations. These results suggested that each population was not completely identical and high gene flow has occurred among the leaf rust population of different areas. The highest differentiation and genetic distance among the Pakistani leaf rust populations were detected between the leaf rust population in NARC isolate (NARC-4) and AARI-11and the highest similarity was observed between NARC isolates (NARC-4) and (NARC-5). The present study showed the leaf rust population in Pakistan is highly dynamic and variable.

Bedside tracheostomy for a COVID-19 cohort.

The use of tracheostomy in ventilator dependent COVID-19 patients is novel because of the recent and rapid spread of this pandemic with risk of transmission of infection to healthcare workers. This case-series of mechanically ventilated COVID-19 patients indicates that percutaneous tracheostomy performed at bedside with careful precautions and limited modification of standard technique was effective in promoting weaning from mechanical ventilation with few complications and no transmission of COVID-19 infection to the procedural healthcare workers.

Extracorporeal Membrane Oxygenation for COVID-19 Treatment in a Community Hospital.

Description Coronavirus disease 2019 (COVID-19) may result in severe acute respiratory disease syndrome (ARDS) and death. For COVID-19 patients failing mechanical ventilation, extra corporeal membrane oxygenation (ECMO) has been used with varying efficacy in academic medical centers and quaternary referral centers. We report the successful use of veno-venous (VV) ECMO to treat refractory ARDS due to COVID-19 in a community hospital setting with a survival to discharge rate of 71% over a 3 month period. In a community hospital with adequate resources, VV ECMO can be an effective rescue therapy for selected COVID-19 patients who fail all other available treatments.

Tuberculosis during pregnancy in the United States: Racial/ethnic disparities in pregnancy complications and in-hospital death.

BACKGROUND: Despite decades of efforts to eliminate tuberculosis (TB) in the United States (US), TB still contributes to adverse ill health, especially among racial/ethnic minorities. According to the Centers for Disease Control and Prevention, in 2016, about 87% of the TB cases reported in the US were among racial and ethnic minorities. The objective of this study is to explore the risks for pregnancy complications and in-hospital death among mothers diagnosed with TB across racial/ethnic groups in the US. METHODS: This retrospective cohort study utilized National Inpatient Sample data for all inpatient hospital discharges in the US. We analyzed pregnancy-related hospitalizations and births in the US from January 1, 2002 through December 31, 2014 (n = 57,393,459). Multivariable logistic regression was applied to generate odds ratios for the association between TB status and the primary study outcomes (i.e., pregnancy complications and in-hospital death) across racial/ethnic categories. RESULTS: The prevalence of TB was 7.1 per 100,000 pregnancy-related hospitalizations. The overall prevalence of pregnancy complications was 80% greater among TB-infected mothers than their uninfected counterparts. Severe pre-eclampsia, eclampsia, placenta previa, post-partum hemorrhage, sepsis and anemia occurred with greater frequency among mothers with a TB diagnosis than those without TB, irrespective of race/ethnicity. The rate of in-hospital death among TB patients was 37 times greater among TB-infected than in non-TB infected mothers (468.8 per 100,000 versus 12.6 per 100,000). A 3-fold increased risk of in-hospital death was observed among black TB-negative mothers compared to their white counterparts. No racial/ethnic disparities in maternal morbidity or in-hospital death were found among mothers with TB disease. CONCLUSION: TB continues to be an important cause of morbidity and mortality among pregnant women in the US. Resources to address TB disease should also target pregnant women, especially racial/ethnic minorities who bear the greatest burden of the disease.

Nuclear protein isoforms: implications for cancer diagnosis and therapy.

Post-translational modifications (PTMs) of nuclear proteins play essential roles in the regulation of gene transcription and signal transduction pathways. Numerous studies have demonstrated a correlation between specific nuclear protein isoforms and cellular malignant process. This communication reviews the impact of major PTM events such as phosphorylation, acetylation, methylation, ubiquitination, and sumoylation on several important nuclear proteins including p53, histones, proliferating cellular nuclear antigen (PCNA), and retinoblastoma protein (Rb) in the process. In addition, the implications of the PTMs as cancer biomarkers and therapeutic targets are considered.

Utility of brain natriuretic peptide as a predictor of atrial fibrillation after cardiac operations.

BACKGROUND: Atrial fibrillation (AF) occurs frequently after coronary bypass grafting and valve operations. Brain natriuretic peptide (BNP) has been shown to predict recurrence of AF in congestive heart failure. It is a potential biomarker for preoperative risk stratification for development of AF in at-risk patients. METHODS: A total of 398 consecutive patients were prospectively evaluated for new-onset AF after heart operations. Patients with a history of AF and presence of permanent pacemaker were excluded. BNP levels were measured before and immediately after the operation. RESULTS: AF occurred in 20%. AF was more likely to develop in patients who were older, who underwent valve operations, had a lower ejection fraction, and a larger left atrial size. Preoperative exposure to statins (62% vs 43%, p < 0.01) and angiotensin inhibitors (60% vs 45%, p = 0.02) was more common in patients without AF. BNP values were insignificantly higher preoperatively (361 vs 302 mg/dL, p = 0.3) and postoperatively (312 vs. 229 mg/dL, p = 0.15) in patients with AF. Multivariate logistic analysis showed that older age (odds ratio [OR], 3.1, 95% confidence interval [CI], 1.7 to 5.6), lower ejection fraction (OR, 2.0; 95% CI, 1.2 to 3.3), larger left atrial size (OR, 3.1; 95% CI, 1.9 to 4.9), and nonuse of angiotensin inhibitors (OR, 2.3; 95% CI, 1.1 to 4.8) were independently associated with AF. CONCLUSIONS: This study does not support use of BNP for prediction of AF. Age, low ejection fraction, large left atrial size, and nonuse of angiotensin blocking agents were found to be significant predictors of AF development.