Changes in fungal population and aflatoxin levels and assessment of major aflatoxin types in stored peanuts (Arachis hypogaea Linnaeus)

Peanut kernels of Homabay Local, Valencia Red, ICGV-SM 12991 and ICGV-SM 99568 cultivars were storedfor six months in jute, polypropylene and polyethylene bags to assess the effect of storage bags, temperature andR.H. on fungal population and aflatoxin contamination. Moisture content (M.C.), fungal population and aflatoxinlevels were determined before storage and after every 30 days during storage. Isolates of Aspergillus flavus andA. parasiticus were assayed for production of aflatoxin B1, B2, G1 and G2. The correlation between MC,population of A. flavus and A. parasiticus and aflatoxin levels in peanuts was also determined. Six fungalpathogens were commonly isolated from the peanut samples and occurred as follows in decreasing order:Penicillium spp. (106.6 CFU/g), A. flavus L-strain (4.8 CFU/g), A. flavus S-strain (2.9 CFU/g), A. niger (2.6CFU/g), A. parasiticus (1.7 CFU/g) and A. tamarii (0.2 CFU/g). The overall population of A. flavus L-strain was66% higher than that of A. flavus S-strain. Ninety one percent of A. flavus and A. parasiticus isolates produced atleast one of the four aflatoxin types assayed, with 36% producing aflatoxin B1. Total aflatoxin levels rangedfrom 0 - 47.8 μg/kg with samples stored in polyethylene and jute bags being the most and least contaminated,respectively. Eighty nine percent and 97% of the peanut samples met the EU (≤ 4 μg/kg) and Kenyan (≤ 10μg/kg) regulatory standards for total aflatoxin, respectively. Peanuts should be adequately dried to safe moisturelevel and immediately packaged in a container - preferably jute bags - which will not promote critical increasesin fungal population and aflatoxin contamination

Occurrence of Aspergillus species and aflatoxin contamination in raw and roasted peanuts from formal and informal markets in Eldoret and Kericho towns, Kenya

Published Online: August 2013.The population and diversity of fungal species and levels of aflatoxin contamination were investigated in 228 marketed peanut samples; 140 from formal and 88 from informal markets, in Kericho and Eldoret towns of Kenya. Ground pea- nut samples were cultured on Modified Dichloran Rose Bengal (MDRB) agar while aflatoxin level was quantified based on indirect competitive ELISA. Correlation between the incidence of major aflatoxin-producing fungal species and aflatoxin levels was also established. Fungal species commonly isolated from the peanut samples included Asper-gillus flavus L strain, A. flavus S strain, A. parasiticus, A. tamarii, A. caelatus, A. alliaceus (all of Aspergillus section Flavi) and A. niger. Fungi isolated in low frequency included Fusarium spp., Penicillium spp., Mucor spp. and Rhi- zopus spp. Aflatoxin levels in peanut products ranged from 0 to 2345 μg/kg in raw peanuts, 0 to 382 μg/kg in roasted coated peanuts, and 0 to 201 μg/kg in roasted de-coated peanuts. Overall, levels of total aflatoxin were higher in sam- ples from informal (mean = 97.1 μg/kg) than formal (mean = 55.5 μg/kg) market outlets. There was a positive and sig- nificant correlation (R2 = 0.63; p ≤ 0.05) between aflatoxin levels and the major aflatoxin producing fungi in raw pea- nuts from formal markets in Eldoret town. Additionally, total aflatoxin in raw peanut samples from informal markets in Kericho was positively and significantly correlated (R2 = 0.81; p ≤ 0.05) to the population of A. flavus (L and S strains). In roasted coated peanuts sampled from formal market outlets in Eldoret, aflatoxin levels correlated positively and sig- nificantly (R2 = 0.37; p ≤ 0.05) with A. flavus S strain. There is need to create awareness among peanut traders and con- sumers on proper handling of peanuts and health risks associated with consumption of unsafe peanut products

Models of peer support to remediate post-intensive care syndrome: A report developed by the SCCM Thrive International Peer Support Collaborative

Objective: Patients and caregivers can experience a range of physical, psychological, and cognitive problems following critical care discharge. The use of peer support has been proposed as an innovative support mechanism. Design: We sought to identify technical, safety and procedural aspects of existing operational models of peer support, among the Society of Critical Care Medicine Thrive Peer Support Collaborative. We also sought to categorize key distinctions between these models and elucidate barriers and facilitators to implementation. Subjects: 17 Thrive sites from the USA, UK, and Australia were represented by a range of healthcare professionals. Interventions: Via an iterative process of in-person and email/conference calls, members of the Collaborative, defined the key areas on which peer support models could be defined and compared; collected detailed self-reports from all sites; reviewed the information and identified clusters of models. Barriers and challenges to implementation of peer support models were also documented. Results: Within the Thrive Collaborative, six general models of peer support were identified: Community based, Psychologist-led outpatient, Models based within ICU follow-up clinics, Online, Groups based within ICU and Peer mentor models. The most common barriers to implementation were: recruitment to groups, personnel input and training: sustainability and funding, risk management and measuring success. Conclusion: A number of different models of peer support are currently being developed to help patients and families recover and grow in the post-critical care setting

Strengthening Surgery Strengthens Health Systems: A New Paradigm and Potential Pathway for Horizontal Development in Low- and Middle-Income Countries

Global health is transitioning toward a focus on building strong and sustainable health systems in developing countries; however, resources, funding, and agendas continue to concentrate on “vertical” (disease-based) improvements in care. Surgical care in low- and middle-income countries (LMICs) requires the development of health systems infrastructure and can be considered an indicator of overall system readiness. Improving surgical care provides a scalable gateway to strengthen health systems in multiple domains. In this position paper by the Society of University Surgeons’ Committee on Global Academic Surgery, we propose that health systems development appropriately falls within the purview of the academic surgeon. Partnerships between academic surgical institutions and societies from high-income and resource-constrained settings are needed to strengthen advocacy and funding efforts and support development of training and research in LMICs

The First Millennium-Age Araucaria Araucana in Patagonia

This item is part of the Tree-Ring Research (formerly Tree-Ring Bulletin) archive. For more information about this peer-reviewed scholarly journal, please email the Editor of Tree-Ring Research at [email protected]

Different types of disease-causing non-coding variants revealed by genomic and gene expression analyses in families with X-linked intellectual disability

The pioneering discovery research of X-linked intellectual disability (XLID) genes has benefitted thousands of individuals worldwide however, approximately 30% of XLID families still remain unresolved. We postulated that non-coding variants that affect gene regulation or splicing may account for the lack of a genetic diagnosis in some cases. Detecting pathogenic, gene-regulatory variants with the same sensitivity and specificity as structural and coding variants is a major challenge for Mendelian disorders. Here, we describe three pedigrees with suggestive XLID where distinctive phenotypes associated with known genes guided the identification of three different non-coding variants. We used comprehensive structural, single nucleotide and repeat expansion analyses of genome sequencing. RNA-Seq from patient-derived cell lines, RT-PCRs, western blots and reporter gene assays were used to confirm the functional effect of three fundamentally different classes of pathogenic non-coding variants: a retrotransposon insertion, a novel intronic splice donor and a canonical splice variant of an untranslated exon. In one family, we excluded a rare coding variant in ARX, a known XLID gene, in favour of a regulatory non-coding variant in OFD1 that correlated with the clinical phenotype. Our results underscore the value of genomic research on unresolved XLID families to aid novel, pathogenic non-coding variant discovery.Michael J. Field, Raman Kumar, Anna Hackett, Sayaka Kayumi, Cheryl A. Shoubridge, Lisa J. Ewans, Atma M. Ivancevic, Tracy Dudding, Byth, Renée Carroll, Thessa Kroes, Alison E. Gardner, Patricia Sullivan, Thuong T. Ha, Charles E. Schwartz, Mark J. Cowley, Marcel E. Dinger, Elizabeth E. Palmer, Louise Christie, Marie Shaw, Tony Roscioli, Jozef Gecz, Mark A. Corbet

Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials

Stromal tumor-infiltrating lymphocytes (sTILs) are a potential predictive biomarker for immunotherapy response in metastatic triple-negative breast cancer (TNBC). To incorporate sTILs into clinical trials and diagnostics, reliable assessment is essential. In this review, we propose a new concept, namely the implementation of a risk-management framework that enables the use of sTILs as a stratification factor in clinical trials. We present the design of a biomarker risk-mitigation workflow that can be applied to any biomarker incorporation in clinical trials. We demonstrate the implementation of this concept using sTILs as an integral biomarker in a single-center phase II immunotherapy trial for metastatic TNBC (TONIC trial, NCT02499367), using this workflow to mitigate risks of suboptimal inclusion of sTILs in this specific trial. In this review, we demonstrate that a web-based scoring platform can mitigate potential risk factors when including sTILs in clinical trials, and we argue that this framework can be applied for any future biomarker-driven clinical trial setting