Further insight into the geographic distribution of Leishmania species in Peru by cytochrome b and mannose phosphate isomerase gene analyses.

To obtain further insight into geographic distribution of Leishmania species in Peru, a countrywide survey, including central to southern rainforest areas where information on causative parasite species is limited, was performed based on cytochrome b (cyt b) and mannose phosphate isomerase (mpi) gene analyses. A total of 262 clinical samples were collected from patients suspected of cutaneous leishmaniasis (CL) in 28 provinces of 13 departments, of which 99 samples were impregnated on FTA (Flinders Technology Associates) cards and 163 samples were Giemsa-stained smears. Leishmania species were successfully identified in 83 (83.8%) of FTA-spotted samples and 59 (36.2%) of Giemsa-stained smear samples. Among the 142 samples identified, the most dominant species was Leishmania (Viannia) braziliensis (47.2%), followed by L. (V.) peruviana (26.1%), and others were L. (V.) guyanensis, L. (V.) lainsoni, L. (V.) shawi, a hybrid of L. (V.) braziliensis and L. (V.) peruviana, and Leishmania (Leishmania) amazonensis. Besides the present epidemiological observations, the current study provided the following findings: 1) A hybrid of L. (V.) braziliensis and L. (V.) peruviana is present outside the Department of Huanuco, the only place reported, 2) Many cases of CL due to L. (V.) lainsoni, an uncommon causative species in Peru, were observed, and 3) L. (V.) shawi is widely circulating in southern Amazonian areas in Peru

Deciphering the Genomic Regulatory Architecture of iPSC Derived Oligodendrocytes from Diverse Ancestries for Alzheimer’s Disease Studies

Abstract Background The effect of variants associated with Alzheimer’s disease (AD) can be influenced by ancestry, which determines the genomic regulatory architecture (GRA). A global understanding of GRA in the context of AD is imperative to interpret the variability associated with AD risk genes across populations. Most studies up to date have focused on studying GRA in European ancestry, in this study we aimed at determining the GRA in African, Amerindian, and European ancestries. Since GRA is cell specific, we developed a human induced pluripotent cells (hiPSC) based model for oligodendrocytes (OLs), a cell type which has limited studies focused on AD. Method Cells from AD patients or non‐cognitively impaired controls with >90% of either Amerindian, African or European global ancestry were differentiated using a modified multi‐stage protocol that promotes the development and enrichment of oligodendrocytes in neural spheroids. After terminal differentiation, cells were collected and lysed to isolate nuclei for Multiomic profiling of chromatin accessibility and transcriptome using Single Cell ATAC and Single Cell RNA‐seq. Additionally, we examined chromatin interactions using Hi‐C analyses. Result We identified oligodendrocyte lineage cells at different stages of development ranging from dividing cells with transcriptional profiles consistent with those of oligodendrocyte precursor cells (OPC) to mature myelinating oligodendrocytes. We compared the oligodendrocytes clusters across ancestries, cases versus controls and APOE genotypes to characterize the genomic landmarks and signatures associated with AD related GWAS loci. Astrocytes and neurons were also derived within our 3D spheroids, allowing us to study ancestry‐related cell type specific changes in GRA. Conclusion Our results provide ancestry‐specific insights into oligodendrocyte chromatin structure and gene regulation in the context of AD. These results offer an integrated view of the GRA of a previously overlooked cell lineage that constitute a large population in the central nervous system and is compromised during AD in terms of abundance and function. This will expand the available functional resources for gene identification studies in African American and Hispanic/Latino studies

Development and validation of a score to predict postoperative respiratory failure in a multicentre European cohort : A prospective, observational study

BACKGROUND Postoperative respiratory failure (PRF) is the most frequent respiratory complication following surgery. OBJECTIVE The objective of this study was to build a clinically useful predictive model for the development of PRF. DESIGN A prospective observational study of a multicentre cohort. SETTING Sixty-three hospitals across Europe. PATIENTS Patients undergoing any surgical procedure under general or regional anaesthesia during 7-day recruitment periods. MAIN OUTCOME MEASURES Development of PRF within 5 days of surgery. PRF was defined by a partial pressure of oxygen in arterial blood (PaO2) less than 8 kPa or new onset oxyhaemoglobin saturation measured by pulse oximetry (SpO(2)) less than 90% whilst breathing room air that required conventional oxygen therapy, noninvasive or invasive mechanical ventilation. RESULTS PRF developed in 224 patients (4.2% of the 5384 patients studied). In-hospital mortality [95% confidence interval (95% CI)] was higher in patients who developed PRF [10.3% (6.3 to 14.3) vs. 0.4% (0.2 to 0.6)]. Regression modelling identified a predictive PRF score that includes seven independent risk factors: low preoperative SpO(2); at least one preoperative respiratory symptom; preoperative chronic liver disease; history of congestive heart failure; open intrathoracic or upper abdominal surgery; surgical procedure lasting at least 2 h; and emergency surgery. The area under the receiver operating characteristic curve (c-statistic) was 0.82 (95% CI 0.79 to 0.85) and the Hosmer-Lemeshow goodness-of-fit statistic was 7.08 (P = 0.253). CONCLUSION A risk score based on seven objective, easily assessed factors was able to predict which patients would develop PRF. The score could potentially facilitate preoperative risk assessment and management and provide a basis for testing interventions to improve outcomes. The study was registered at ClinicalTrials.gov (identifier NCT01346709)