Digital Commons Network^™

Bank Efficiency And Monetary Policy Transmission, Md Asad Iqbal Chowdhury, Md Harun Ur Rashid, Mohammad Shamsu Uddin

Research outputs 2022 to 2026

We offer new insights into how bank efficiency influences the transmission of monetary policy through the bank lending channel (BLC) in an emerging economy context. The study draws on a balanced panel of 29 banks listed on the Dhaka Stock Exchange (DSE), covering the period from 2006 to 2024. We first measure bank efficiency using the non-parametric Data Envelopment Analysis (DEA), which captures both technical efficiency (TE) and scale efficiency (SE). Subsequently, we employ three regression techniques such as Ordinary Least Squares (OLS), Fixed Effects (FE), and the two-step Generalized Method of Moments (GMM) to examine the moderating effects of …

Food Security Systems Change: A Case Study From Rural, Regional, And Remote Australia, Stephanie L. Godrich, Isabelle Chiera, Jess Doe, Saranne Herrington, Melissa Stoneham, Amanda Devine, Emily Humphreys

Research outputs 2022 to 2026

Food security(FS) refers to having sufficient physical, social, and economic food access at all times. People living in rural, regional, and remote (RRR) locations often face distinctive challenges to FS. Existing solutions, that aim to enhance FS, themselves face challenges when addressing these issues. This paper outlines the application of an adapted Systemic Innovation Lab (SIL) approach to enhance the function of existing community and government-led, -run or -operated initiatives (programs, interventions) in RRR Western Australia. It examines which systems change characteristics participating initiatives possess, to identify opportunities to support their transition to newer and more effective ways of addressing …

Midwife-Led Birth Debrief: A Concept Analysis, Kate Buchanan, Elliesha O'Reilly, Georgia Wilcox, Sara Bayes, Lauren Kearney, Linda Sweet, Hazel Keedle

Research outputs 2022 to 2026

Background: Psychological birth trauma (PBT) affects approximately 19 % of postnatal women, making its prevention a global priority. Midwives are responsible for providing psychosocial care during the postnatal period to foster the mother-infant relationship, provide education and screening and support positive transitions to parenting. However, the specific attributes of a birth debrief and the role of the midwife in a supporting a woman to review their birth experience is less well documented in regulatory frameworks or scientific literature. This has created significant ambiguity in both clinical practice among health professionals and in research contexts. The lack of a clear understanding …

Prevalence And Molecular Types Of Clostridioides (Clostridium) Difficile On Australian Retail Vegetables And Household Surfaces, Deirdre A. Collins, Su Chen Lim, Jessica Chisholm, Molly Lattin, Linda Selvey, Simon Reid, Thomas V. Riley

Research outputs 2022 to 2026

Objectives: Community-onset Clostridioides (Clostridium) difficile infection (CDI) has risen to >80 % of all CDI cases in Australia. High prevalence of C. difficile contamination has been reported in many community sources including retail root vegetables. Household surfaces may become contaminated with C. difficile when storing and handling contaminated vegetables. This study aimed to determine the prevalence and molecular types of C. difficile present on retail root vegetables and household surfaces. Methods: From April 2023 to March 2024, retail potatoes (n = 255) and onions (n = 305) were sampled at 3-monthly intervals. Environmental samples were collected from homes of householders …

Trends And Determinants Of Early Neonatal Mortality In Ethiopia: Evidence From The Ethiopian Demographic And Health Survey Data, Tsion Mulat Tebeje, Beminate Lemma Seifu, Yordanos Sisay Asgedom, Kusse Urmale Mare, Zufan Alamrie Asmare, Hiwot Altaye Asebe, Abdu Hailu Shibeshi, Afework Alemu Lombebo, Kebede Gemeda Sabo, Bezawit Melak Fente, Bizunesh Fantahun Kase

Research outputs 2022 to 2026

Background: Early neonatal mortality (ENM) accounts for three-fourths of all neonatal deaths and one-third of overall child mortality. While previous studies have primarily focused on neonatal and under-five mortality, ENM has received comparatively less attention. This study aims to address this gap by analyzing trends and identifying factors associated with ENM in Ethiopia. Methods: Data from the Ethiopian Demographic and Health Survey (EDHS) conducted between 2005 and 2016 were analyzed, comprising a total weighted sample of 22,310 participants. To account for the hierarchical structure of the EDHS data, a mixed-effects binary logistic regression model was applied to identify associated factors. …

Global Estimates Of Seagrass Blue Carbon Stocks In Biomass And Net Primary Production, Enric Gomis, Simone Strydom, Nicole R. Foster, Diana Montemayor, Miguel A. Mateo, Eduard Serrano, Karina Inostroza, Roisin Mccallum, Anna Lafratta, Chanelle L. Webster, Caitlyn L. O’Dea, Nicole E. Said, Natasha Dunham, Rachele Bernasconi, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D’Cruz, Cristian Salinas, Kathryn M. Mcmahon, Glenn A. Hyndes, Paul S. Lavery, Albert Pessarodona, Carlose M. Duarte, Oscar Serrano

Research outputs 2022 to 2026

Seagrass meadows play a key role in the global carbon cycle through storing carbon in their biomass and soils. However, the lack of global assessments of carbon stocks in seagrass biomass and net primary production (NPP) limits our understanding of their role in the carbon cycle. Here, we provide global estimates of biomass carbon stocks and NPP encompassing seagrasses with different life-history strategies, across bioregions and 66 countries. Seagrass meadows show up to 800-fold differences in biomass across different life-history strategies and bioregions (mean ± SE; 1551 ± 40 kg C ha⁻¹), whereas seagrass NPP (5833 ± 557 …

Live High-Train Low Induced Changes In Hemoglobin Mass And The Erythropoietin-Erythroferrone-Hepcidin Axis In Female Endurance Athletes, Titta Kuorelahti, Johanna K. Ihalainen, Vesa Linnamo, Claire Badenhorst, Oona Kettunen, Ritva Mikkonen

Research outputs 2022 to 2026

The effects of a 21-day live high-train low (LHTL) on hemoglobin mass (Hbmass) and iron demand including the erythropoietin (EPO)-erythroferrone (ERFE)-hepcidin axis and routine iron markers were investigated. Fifteen female endurance athletes completed either 21-day LHTL in normobaric hypoxia (2500 m, ~18 h·day⁻¹) (INT, n = 8) or lived and trained in normoxia (CON, n = 7). Hbmass and resting blood were collected before and after the intervention. An additional blood sample was collected on Day 6 for INT. 21-day LHTL increased Hbmass 3.8% in INT (p < 0.001). EPO increased 35.6% from Day 0 to Day 6 in INT (p = 0.037) and then decreased 42.4% from Day 6 to Day 21 (p = 0.019). In INT, no changes were detected in ERFE or hepcidin, and from the routine iron markers only serum transferrin receptor increased from Day 0 to Day 21 (13.9%, p = 0.013). In CON, no changes were detected in Hbmass or iron markers. In INT, Hbmass and ferritin were positively associated (Day 0 to Day 6, p = 0.005). Thus, hepcidin and ERFE may not provide additional information regarding iron demand following 6- or 21-day LHTL compared to routine iron markers. The relationship between Hbmass and ferritin indicates that adequate ferritin levels are needed during hypoxia to support hematological adaptations.

What Is Known About Asthma Care And Management For Children And Young People Under 18 Years Of Age In New Zealand. A Scoping Review, J. Blamires, M. Foster, B. Kanengoni-Nyatara

Research outputs 2022 to 2026

Introduction: Asthma is the most common chronic health condition affecting children in Aotearoa New Zealand, with Māori and Pacific children disproportionately burdened by high morbidity and inequitable care. Despite clinical guidelines and growing research, inconsistencies in diagnosis, treatment adherence, and education persist. This scoping review identifies and maps literature on care models, service delivery, education and support strategies, and experiences of children, young people, and their family/whānau in asthma care and management for those under 18 in Aotearoa New Zealand. Methods: This scoping review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping …

Adverse Experiences, Protective Factors, And Obesity In Latinx And Hispanic Youths, Victoria Goldman, Sevan Esaian, Miguel Ángel Rivas Fernández, Jonatan Ottino Gonzalez, Nicole Karcher, Jeffrey I Gold, Alaina P Vidmar, Shana Adise

2020-Current year OA Pubs

IMPORTANCE: Pediatric obesity rates are rising, and adverse childhood experiences (ACEs) may contribute by promoting stress-induced weight gain. Few studies have examined the association of ACEs with body mass index (BMI) and youth-reported protective factors, particularly among Latinx and Hispanic youths, who face higher rates of ACEs and obesity.

OBJECTIVE: To evaluate the association of ACEs with BMI in a population-based cohort and determine whether youth-reported protective factors (eg, self-coping skills, caregiver or friend support, or overall support) moderate this association, with a focus on Latinx and Hispanic youths.

DESIGN, SETTING, AND PARTICIPANTS: This large, cross-sectional study of youths aged …

Co-Design Of A Personalised Physical Activity Intervention For Stroke Survivors, Natalie A. Fini, Emily R. Ramage, Julie R. Bernhardt, Erin M. Bicknell, Chris C.M. Tzefronis, Paul M. Fink, Erin Godecke, Jill L. Francis, Rebecca Wood, Nicole Li, Brandon Lin, Coralie English, Catherine M. Said

Research outputs 2022 to 2026

Introduction/ aims: Incorporating the perspectives of knowledge-users such as stroke survivors into intervention development processes can enhance their relevance and feasibility. The aims of this study were: i) to use co-design to determine “active ingredients” and develop a personalised physical activity intervention for stroke survivors, and ii) to evaluate the co-design process. Methods: A four-stage integrated knowledge translation approach (involving planning and workshops) was applied to co-design a post-stroke physical activity intervention. Knowledge-user participants (stroke survivors (n = 10), carers (n = 3) and clinicians (n = 12)) were recruited. Knowledge-user participants (n = 25) and the research team (n …

The Equity Implications Of Pecuniary Externalities On An Electric Grid, Charles Sims, Gasser G. Ali, J. Scott Holladay, Tim Roberson, Chien Fei Chen, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The adoption of rooftop photovoltaic (PV) systems can create upward pressure on retail electricity rates as utilities are forced to spread their fixed costs of generation and transmission across a smaller customer base. Since high-income households are more likely to purchase PV systems, low-income households may be disproportionately impacted by these rate increases. Using a novel combination of agent-based computational economic modeling and a choice experiment of rooftop solar adoption, we show how this pecuniary externality between low- and high-income customers increases low-income electricity bills by 10% in an area with some of the highest poverty rates in the United …

Local Problems, Global Solutions? Making It Rain In Hong Kong C. 1890-1930, Fiona Williamson

Research Collection College of Integrative Studies

The late nineteenth to early twentieth century saw a small but dedicated rise in experimental rainmaking. The possibility that humanity might one day be able to control the weather – especially to alleviate drought – was very attractive to governments and private investors. The late nineteenth century was an era of scientific optimism and a number of rainmaking experiments across the world had brought the potential for weather control out of the realms of discourse and literature and further into tangible near-future science. There has been a small but thorough historiographical literature on this subject, focusing largely on American, British, …

Framerate Sensitivity And Cinemagoing Explain The Soap Opera Effect Of Films: A Preregistered Study Of Undergraduate Students In Singapore., Sonny Rosenthal, Benjamin J. Li

Research Collection College of Integrative Studies

The soap opera effect is an unsettling feeling that some individuals experience while watching films at a high framerate. It has received little scholarly attention, and most explanations of it are speculative or anecdotal. Drawing on the mere exposure effect, this preregistered laboratory experiment provides new evidence of framerate sensitivity and cinemagoing as explanatory factors of the soap opera effect. Undergraduate students (N = 270) reported their cinemagoing and completed a novel task to measure their framerate sensitivity. They also completed a task indicating their framerate preferences. Those with a higher framerate sensitivity and more regular cinemagoing preferred the standard …

Public Views Towards Lifespan, Healthspan, And Healthy Longevity Medicine In Singapore: A Qualitative Study From The Healthy Longevity (Helo) Initiatives, Belinda Wang, Anna Szucs, Elena Sandalova, Zhi Meng Lim, E. J. Horberg, Paul A. O’Keefe, Louis Island, Sonny Rosenthal, Andrea B. Maier

Research Collection College of Integrative Studies

Introduction: Healthy Longevity Medicine (HLM) offers a strategy to reduce the healthspan-lifespan gap, yet public perspectives remain unclear. This study refines the Healthy Longevity (HELO) framework through a qualitative exploration of public views towards lifespan, healthspan, and HLM.Methods: Individuals living in Singapore participated in semi-structured group or individual discussions to explore (a) their understanding of lifespan and healthspan, (b) motivational factors for health behaviours, and (c) their awareness of HLM. Sampling maximised variation across age, sex, and ethnicity. Data obtained through 13 discussions were analysed with a mixed, inductive-deductive approach employing the HELO framework.Results: Thirty-six participants (mean age = 49.4 …

Navigating Ai-Nature Frictions: Autonomous Vehicle Testing And Nature-Based Constraints, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

In cities, the application of Artificial Intelligence (AI) is being directed towards transforming different aspects of urban life. These applications take material form in urban spaces, with autonomous vehicles (AVs) providing a prominent example. AI systems rely on large volumes of data on their surroundings to refine the algorithms and enhance the accuracy of prediction for operational efficiency and safety. However, such algorithmic learning and execution can present challenges when dealing with the unpredictable, complex, and dynamic aspects of urban spaces. Nature is a paradigmatic example of such unpredictability, because natural phenomena usually defy consistent patterns and precise data-based modelling. …

Rethinking Singer: Toward A Valid Argument For Helping The Global Poor, Joshua Luczak

Research Collection College of Integrative Studies

For more than 50 years, Peter Singer has argued that we are required to donate to aid agencies. While many commentators have rejected one or more of his premises, no one appears to have challenged the argument’s validity, and it is often assumed to be valid even by critics. This article demonstrates that Singer’s common-sense morality arguments for donating to aid agencies are invalid. It then reconstructs a valid version of the argument consistent with Singer’s broader work, but shows that this version carries significant costs. The paper concludes that although we have a moral obligation to help those less …

Cross-Domain Disaggregation Of Electricity For Heating In All-Electric School Buildings – Learning From School Buildings With District Heating, Synne Krekling Lien, Ada Canaydin, Clayton Miller, Chun Fu, Hussain Kazmi, Jayaprakash Rajasekharan

Research Collection College of Integrative Studies

Electric heating is widespread in Norwegian buildings and significantly contributes to peak loads in the electricity grid. Non-residential buildings are typically heated either by district heating or a combination of electrical heating appliances. Despite its widespread use, most buildings lack sub-meters for electric heating. As a result, the true potential for energy efficiency and load flexibility from heating appliances in buildings remains unknown. Non-intrusive load monitoring and disaggregation techniques offer alternatives to sub-metering by using data-driven methods to extract electricity use for appliances from time-series data. However, little research has been conducted on disaggregating electrical heating loads from low-resolution data, …

Ongoing Recovery Measurements In Kwinana Shelf Seagrass Meadow In Cockburn Sound 2.5 Years Post Impact Phase To Give Greater Confidence In Recovery Data And For Eia Monitoring, Nicole Said, Chanelle Webster, Simone Strydom, Kathryn Mcmahon

Research outputs 2022 to 2026

Executive summary: Understanding the nature of interactions between multiple stressors is essential for assessing their cumulative impacts on seagrasses and for guiding effective management. Current dredging thresholds are based largely on single stressors (light reduction or sediment burial), despite pressures typically co-occurring, and these thresholds may therefore need refinement to account for interactive effects. In addition, recovery times under single and multiple pressures remain a major knowledge gap, further reducing our ability to accurately predict impacts and implement effective management. This need is particularly pressing in regions facing ongoing dredging pressure. Cockburn Sound, which has already lost ~75% of its …

Welcome To The Bflr’S 7th Annual Fintech Issue, Nydia Remolina Leon, Alessio Azzuri, Virginia Torrie, Francisco Jose Ciancerta

Research Collection Yong Pung How School Of Law

This issue of the Banking and Finance Law Review is published at a moment of profound transformation in the FinTech regulatory landscape. Around the world, legislators, regulators, financial institutions, and scholars face the complex task of fostering technological innovation while addressing concerns over consumer and investor protection, data privacy and cybersecurity, market integrity, the prevention of financial crime, and overall stability of the financial system. At the same time, geopolitics is increasingly influencing the direction of FinTech policy and regulation, as states leverage financial infrastructure not only to modernize domestic markets but also to assert strategic influence globally. This convergence …

Building A Restructuring Hub: Lessons From Singapore, Aurelio Gurrea-Martinez

Research Collection Yong Pung How School Of Law

This article seeks to analyze the legal, market, and institutional features needed to become an international hub for debt restructuring. To that end, it examines the strategy adopted by Singapore as well as the market and institutional factors generally found in other leading legal and financial centers such as the United States, the United Kingdom, and Hong Kong. It is argued that in jurisdictions that have traditionally had creditor-oriented insolvency systems, such as Singapore, the United Kingdom, and Hong Kong, one of the primary challenges when enhancing the restructuring framework for debtors is ensuring that the insolvency system remains protective …

Benchmarking Empirical Severity For The Yale-Brown Obsessive Compulsive Scale-Second Edition, Caitlin M Pinciotti, Juliana Avery, Chencheng Zhang, Josselyn S Muñoz, Dayan Berrones, Vanessa Zavala Cruz, Andrew D Wiese, Jacey L Anderberg, Renee M Frederick, Tomás Miño, Nuria Lanzagorta, Juan Camilo Restrepo, Marcos E Ochoa-Panaifo, Wayne K Goodman, James J Crowley, Eric A Storch, Matti Cervin

Faculty, Staff and Students Publications

The Yale-Brown Obsessive Compulsive Scale (Y-BOCS) is considered the primary instrument for assessing the presence and severity of obsessive-compulsive disorder (OCD). Conceptual and empirical critiques inspired the development of an updated version of the instrument, the Yale-Brown Obsessive Compulsive Scale-Second Edition (Y-BOCS-II), with a higher ceiling of OCD severity to better differentiate between severe and the most debilitating OCD presentations, among other revisions. The Y-BOCS-II has demonstrated sound psychometric properties across diverse samples. Empirically derived severity benchmarks have been proposed for the original Y-BOCS, yielding somewhat different ranges than what has been commonly used in clinical and research settings, yet …

Secondary Special Education Teachers: Perceptions On Burnout Since The Start Of Covid-19, Regina Perez

Electronic Theses and Dissertations

This study examined burnout among secondary special education (SPED) teachers following the COVID-19 pandemic, which significantly disrupted education and intensified teacher stress. Burnout, defined by emotional exhaustion, depersonalization, and reduced personal accomplishment, has been linked to teacher attrition and decreased student achievement. The problem addressed was the increased levels of burnout and stress among SPED teachers and the lack of sufficient administrative support to mitigate these effects. The purpose was to explore SPED teachers’ perceptions of burnout since the pandemic and identify the supports needed to reduce it. Using a qualitative case study design grounded in Maslach’s burnout theory, the …

Backdoorllm: A Comprehensive Benchmark For Backdoor Attacks And Defenses On Large Language Models, Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun

Research Collection School Of Computing and Information Systems

Generative large language models (LLMs) have achieved state-of-the-art results on a wide range of tasks, yet they remain susceptible to backdoor attacks: carefully crafted triggers in the input can manipulate the model to produce adversaryspecified outputs. While prior research has predominantly focused on backdoor risks in vision and classification settings, the vulnerability of LLMs in open-ended text generation remains underexplored. To fill this gap, we introduce BackdoorLLM1 , the first comprehensive benchmark for systematically evaluating backdoor threats in text-generation LLMs. BackdoorLLM provides: (i) a unified repository of benchmarks with a standardized training and evaluation pipeline; (ii) a diverse suite of …

Griffin: Effective Token Alignment For Faster Speculative Decoding, Shijing Hu, Jingyang Li, Xingyu Xie, Zhihui Lu, Kim-Chuan Toh, Pan Zhou

Research Collection School Of Computing and Information Systems

Speculative decoding accelerates inference in large language models (LLMs) by generating multiple draft tokens simultaneously. However, existing methods often struggle with token misalignment between the training and decoding phases, limiting their performance. To address this, we propose GRIFFIN, a novel framework that incorporates a token-alignable training strategy and a token-alignable draft model to mitigate misalignment. The training strategy employs a loss masking mechanism to exclude highly misaligned tokens during training, preventing them from negatively impacting the draft model’s optimization. The token-alignable draft model introduces input tokens to correct inconsistencies in generated features. Experiments on LLaMA, Vicuna, Qwen and Mixtral models …

Rethinking The Key Role Of Private Antitrust Enforcement, Filippo Lancieri

Georgetown Law Faculty Publications and Other Works

This Article focuses on the institutional design of American competition policy. It argues that any long-term effective revival of U.S. antitrust policy requires a better acknowledgement of the key and irreplaceable role played by private litigation and proposes a rethink of private anti-trust enforcement policy.

To unpack the nuanced interconnection between public and private competition enforcement, the Article begins by tracing the rise and fall of private antitrust. It builds on a novel, hand-coded, and comprehensive analysis of the entire Supreme Court antitrust track record—all 474 decisions over 130 years—to outline how an ideologically …

Bridging The Gut And The Heart-Exploring Pathophysiology, Risk Factors, And Therapeutic Implications Of Cardiovascular Disease In Inflammatory Bowel Disease, Diana Othon-Martinez, Sylvia Valeria Peña-Muñoz, Margarita Riojas-Barrett, Genesis Vidales-López, Josué Moisés Sánchez Guzmán, Lukasz Kwapisz

School of Medicine Publications

Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, is a chronic systemic immune dysregulated disorder affecting the gastrointestinal tract that often has extraintestinal manifestations. Limited data exist on the cardiovascular (CV) implications of IBD, but a higher prevalence of CV disease (CVD) has been observed compared to the general population, resulting in increased mortality risk. This review examines the pathophysiology and risk factors linking IBD to CVD, highlighting several key mechanisms: The “lipid paradox” in active IBD, arterial stiffness and endothelial dysfunction, proinflammatory cytokine activity, gut microbiota dysbiosis, and drug-induced myocardiopathy. The main findings include information about IBD …

A Narrative Review On Artificial Intelligence In Neurosurgery: Ethical Challenges And Implementation Considerations, Tirath Patel, Hamza Yousuf Ibrahim, Fathimathul Henna, Fatima Nasir, Abbas Hussain, Rahma Naveed, Aziz Ur Rehman, Syeda Ramish Zehra Kazmi, Bhum Daishik Patel, Nikhilesh Anand

School of Medicine Publications

Introduction: Artificial intelligence (AI) is revolutionizing neurosurgery by enhancing diagnostic precision, surgical planning, and postoperative management. However, its integration raises ethical concerns related to bias, privacy, accountability, and the potential dehumanization of healthcare. This review focuses on navigating these challenges while maximizing AI's potential in improving patient care.

Methodology: A narrative review was conducted by identifying studies from PubMed, Cochrane Library, and Google Scholar databases. The search utilized the following keywords: "artificial intelligence," "neurosurgery," "machine learning," "data privacy," "robotic surgery," "ethics," and "bias." The review primarily focused on issues of dataset bias, data privacy, and the need for transparency and …

A Molecular Renaissance In Alzheimer's Disease Research: The Rise Of Systems Biology And Spatial Omics, Lucia M. Perez-Navarro, Juan Lopez-Alvarenga

School of Medicine Publications

Recent advances in multi-omics and spatial proteomics are reshaping our understanding of Alzheimer's disease. Guo et al.1 applied integrative multi-omics to stratify mild cognitive impairment into biologically distinct subtypes with divergent progression trajectories: one metabolically impaired and slow-progressing, the other immune-activated and rapidly declining. Current techniques such as STC-DESI, LCM-MS, and machine learning enhance regional proteomic resolution, supporting biomarker discovery and spatially targeted interventions. This work exemplifies a broader shift toward precision medicine and a systems-level molecular framework in neurodegenerative disease research.

Human Alveolar Macrophage Function Is Impaired In Tuberculosis Contacts With Diabetes, Léanie Kleynhans, Carine Kunsevi-Kilola, Happy Tshivhula, Tariq Webber, Alana Keyser, Nicole Prins, Candice I. Snyders, Ayanda Shabangu, Virginie Rozot, Blanca I. Restrepo

School of Medicine Publications

Background: Tuberculosis (TB) remains a leading cause of morbidity and mortality worldwide. Individuals with type 2 diabetes (T2D) are at increased risk of developing active TB, tend to present with more severe disease and experience adverse treatment outcomes compared to individuals without T2D co-morbidity. However, the underlying mechanisms responsible for increased susceptibility of patients with T2D to TB remain poorly understood.

Methods: We performed bronchoscopies and collected bronchoalveolar lavage fluid (BAL) from TB contacts with and without T2D in South Africa and obtained paired human alveolar macrophages (HAMs) and monocyte-derived macrophages (MDMs) for transcriptomic, epigenetic and functional assays.

Findings: Following …

Differential Microrna Profiling Of Blood L1cam And Bulk Extracellular Vesicles In Bipolar Disorder, Gabriel R Fries, Salahudeen Mirza, Jun Wang, Camila N C Lima, Wei Zhang, Marcela Carbajal Tamez, Giselli Scaini, Jair C Soares, Joao Quevedo

Faculty, Staff and Students Publications

Objective: This preliminary study aimed to identify microRNA (miRNA) signatures associated with bipolar disorder (BD) by profiling blood-derived extracellular vesicles (EVs) of both putative neuronal origin and from all sources.

Method: In two parallel studies of individuals with BD and controls (CON), we characterized miRNA expression profiles of blood EVs selected for L1CAM, a putative marker of neuronal origin (n = 20 BD/20 CON), as well as bulk EVs (n = 21 BD/20 CON). For each study, analyses identified miRNAs differentially expressed between groups, followed by functional interrogation and testing for associations with clinical features.

Results: Results of …