Medical Sciences Commons^™

Cardiomyocyte Regeneration Therapy And Its Effect On Lvef And Scar Size- A Systematic Review And Meta-Analysis, Mahnoor Mahnoor, Syed Irtaza Hassan, Muhammad Bakhtiar, Salal Sharjeel, Roha Daneyal, Muhammad Ibrahim, Raheel Iftikhar

Kimmel Cancer Center Faculty Papers

BACKGROUND: Myocardial infarction (MI) results in loss of cardiomyocytes leading to heart failure. Despite advancements in pharmacotherapy and interventions such as revascularization, ischemic heart failure remains a challenge. Recent advancements in stem cell therapies, genetic engineering and bioengineering have shown to improve cardiac function and quality of life.

METHODOLOGY: Following PRISMA guidelines, randomized controlled trials clinical trials from last 12 years were systematically reviewed. All the patients included in these studies had ischemic heart failure and were subjected to different types of stem cell therapies. Protocol for this meta-analysis is registered on PROSPERO (Registration no: CRD42023399263). Data extraction and Quality …

Deep Learning-Driven Proteomics Analysis For Gene Annotation In The Renin-Angiotensin System, Mortaza Eivazi, Kamran Hosseini, Shahin Alipanahi, Huijing Xia, Luke Restivo, Ayushi Patel, Mahdieh Gozali, Tahereh Ebrahimi, Amy Scarborough, Vahideh Tarhriz, Eric Lazartigues

School of Medicine Faculty Publications

The renin-angiotensin system (RAS) is central to cardiovascular diseases such as hypertension and cardiomyopathy, yet the functions of many RAS genes remain unclear. This study developed a multi-label deep learning model to systematically annotate RAS gene functions and elucidate their roles in biological pathways. A total of 39,463 RAS-related publications from PubMed and PMC were processed into text format. Feature matrices were generated using TF-IDF and token processing, followed by dimensionality reduction via Principal Component Analysis (PCA). A Multi-Layer Perceptron (MLP) was applied for multi-label classification, with performance evaluated using Precision, F1-Score, Ranking Loss, and ROC-AUC metrics. The model outperformed …

Functional Connectivity Predicting Transdiagnostic Treatment Outcomes In Internalizing Psychopathologies, Kai Zhang, Heide Klumpp, Jagan Jimmy, K Luan Phan, Mohammed R Milad, Zhenfu Wen

Faculty, Staff and Student Publications

Importance: Predicting treatment outcomes for internalizing psychopathologies (IPs), such as depression and anxiety, holds promise for advancing precision medicine. The extent to which whole-brain functional connectivity (FC) can predict treatment responses for patients with IPs across different therapeutic modalities remains unclear.

Objective: To examine whether pretreatment FC patterns predict multidimensional treatment outcomes in patients with IPs and whether predictive performance generalizes across diagnoses and treatment modalities.

Design, setting, and participants: This prognostic study analyzed baseline neuroimaging and clinical data from patients with IPs enrolled in 1 of 2 randomized clinical trials (conducted from December 2013 to February 2018 and September …

Barriers And Facilitators To Surgical Trainee Psychological Safety, Jennifer H Chen, Alyssa A Pradarelli, Julie Evans, Niki Matusko, Norah N Naughton, Roy Phitayakorn, John T Mullen, Lily Chang, Melissa Johnson, Thavam Thambi-Pillai, Jon Ryckman, Melissa Alvarez-Downing, Nell Maloney Patel, Sebastiano Cassaro, Felicia Ivascu, David T Hughes, Gurjit Sandhu

Faculty, Staff and Students Publications

Importance: Although psychological safety has been shown to be imperative for effective learning, specific factors associated with its presence in surgical training have not been well characterized.

Objective: To identify barriers and facilitators to psychological safety for surgical trainees in the clinical learning environment.

Design, setting, and participants: This qualitative study was conducted from February 20 to May 2, 2024, among 25 trainees in general surgery and 3 surgical subspecialty programs at 9 teaching hospitals-4 university-based, 3 community-based, and 2 community-based, university-affiliated hospitals.

Exposure: Participation in surgical training.

Main outcomes and measures: Participants were asked to share their perspectives and …

Encapsulation Of Disease-Causing And Commensal Mitis Group Non-Pneumococcal Streptococci, Daniel M Musher, Mathias Müsken, M John Hicks, Lesley Mcgee, Bernard Beall

Faculty, Staff and Students Publications

Background: Mitis group non-pneumococcal streptococci (MGNPS), specifically Streptococcus mitis, Streptococcus infantis and Streptococcus oralis, have recently been shown to cause pneumonia and/or bacteremia. These organisms often have capsular (cps) operons resembling those in pneumococci, and some express cps-generated polysaccharides that antigenically cross-react with pneumococcal capsular serotypes. But, to date, a series of MGNPS isolates has not been studied by electron microscopy (EM) for the presence of a capsule.

Methods: We studied 21 MGNPS; 11 were isolated from sputum and determined to have caused pneumonia, 3 were isolated from blood, and 7 were commensal isolates cultured …

Genome-Wide Insights Into The Genes And Pathways Shaping Human Foveal Development: Redefining The Genetic Landscape Of Foveal Hypoplasia, Callum Hunt, Ha-Jun Yoon, Alvin Lirio, Kayesha Coley, Jun Wang, Nick Shrine, Jianming Shao, Gail D E Maconachie, Zhanhan Tu, Jonathan H Zippin, Pirro G Hysi, Christopher J Hammond, Omar A Mahroo, Mariya Moosajee, Michel Michaelides, Andrew R Webster, Ala Moshiri, Rui Chen, Martin D Tobin, Chiara Batini, Mervyn G Thomas, Uk Biobank Eye And Vision Consortium

Faculty, Staff and Students Publications

Purpose: To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.

Methods: We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry. Rare coding variants (frequency < 1%) were analyzed in an exome-wide rare-variant association study (RVAS). Candidate genes were prioritized using integrative mapping; pathway, cross-ancestry, and genetic-correlation analyses were exploratory.

Results: GWAS identified 126 sentinel variants, including 47 novel associations. Integrative mapping prioritized 129 putative causal genes, with 64 not previously implicated in foveal biology. Enriched pathways included retinoic acid metabolism (e.g., CYP26A1), photoreceptor differentiation …

Efficacy Of Atr Kinase Inhibitor Elimusertib Monotherapy Or Combination In Tumors With Dna Damage Response Pathway And Other Genomic Alterations, Kaushik Varadarajan, Christian X Cruz Pico, Kurt W Evans, Maria Gabriela Raso, Yasmeen Qamar Rizvi, Xiaofeng Zheng, Dhruv Chachad, Timothy P Diperi, Bailiang Wang, Stephen M Scott, Ming Zhao, Argun Akcakanat, Antje M Wengner, Timothy A Yap, Funda Meric-Bernstam

Faculty, Staff and Student Publications

The ataxia telangiectasia and RAD3-related (ATR) kinase functions with ataxia telangiectasia-mutated (ATM) kinase as a modulator of DNA damage response (DDR). We assessed the antitumor effects of the ATR inhibitor elimusertib (BAY-1895344) in patient-derived xenograft (PDX) models with DDR alterations. Antitumor activity was assessed by change in tumor volume (TV) from baseline. Responses were categorized as follows: partial response (PR), ≥30% decrease in TV; ≥20% increase in TV, progressive disease; and non-PR/progressive disease, stable disease (SD). Event-free survival was defined as time for tumor doubling (EFS-2). Of 21 PDX models tested, 11 had significant prolongation of EFS-2 with elimusertib monotherapy. …

Subtype-Specific Her3 Enrichment In Basal-Like Breast Cancer Is Regulated Via The Gata2/Gata3–Foxa1 Axis, Congcong Tan, Hui Lyu, Sanbao Ruan, Yakun Wu, Margaret E. Larsen, Shou Ching Tang, Bolin Liu

School of Medicine Faculty Publications

Basal-like breast cancer (BLBC) is a major subtype of triple-negative breast cancer (TNBC), characterized by aggressive behavior, limited treatment options, and poor prognosis. While HER3 overexpression is frequently observed in TNBC and associated with poor outcomes, its subtype-specific expression and therapeutic potential remain unclear. Here, we demonstrated that HER3 signaling is selectively hyperactivated in BLBC compared to claudin-low breast cancer (CLBC) using transcriptomic profiling. Histone deacetylase inhibitors (HDACi), Romidepsin and Panobinostat, exerted potent antitumor effects on BLBC by selectively downregulating HER3 expression. HER3 levels were positively correlated with FOXA1, a key transcriptional activator. Mechanistically, we identified GATA2 and GATA3 as …

Inhibition Of Mcl-1 And Mek Overcomes Mek Inhibitor Resistance In Triple-Negative And Inflammatory Breast Cancers, Mohd Mughees, Moises Tacam, Alex W Tan, Mary Kathryn Pitner, Lakesla R Iles, Xiaoding Hu, Emilly S Villodre, Bisrat G Debeb, Takahiro Kogawa, Bora Lim, Rachel M Layman, Wendy A Woodward, Naoto T Ueno, Debu Tripathy, Savitri Krishnamurthy, Yuan Qi, Lajos Pusztai, Jian Wang, Varsha Gandhi, Geoffrey Bartholomeusz, Chandra Bartholomeusz

Faculty, Staff and Student Publications

The MAPK pathway can drive resistance in highly aggressive breast cancers. Our previous work showed that the MEK inhibitor (MEKi) AZD6244 (selumetinib) prevented lung metastasis in a breast cancer xenograft model. In clinical studies, MEKis as single agents have had only modest activity against solid tumors due to the onset of resistance. Using synthetic lethality siRNA screening, we identified myeloid cell leukemia-1 (MCL-1) as a potential contributor to AZD6244 resistance. We hypothesized that MCL-1 promotes MEKi resistance in highly aggressive breast cancers and that MCL-1 inhibition overcomes AZD6244 resistance. We established two AZD6244-resistant cell lines: MDA-MB-231-R (triple-negative breast cancer) and …

Commensal Colonization Of Candida Albicans In The Mouse Gastrointestinal Tract Is Mediated Via Expression Of Candidalysin And Adhesins, Kelsey E Mauk, Pedro Miramón, Michael C Lorenz, Léa Lortal, Julian R Naglik, Bernhard Hube, Lynn Bimler, Farrah Kheradmand, David B Corry

Faculty, Staff and Students Publications

The ubiquitous fungal pathogen Candida albicans has the potential to either asymptomatically colonize the gastrointestinal (GI) tract or become an invasive pathogen through mechanisms that remain incompletely understood. Here we explored the fungal, host, and environmental factors that influence the ability of C. albicans to colonize the mouse GI tract using a representative clinical strain, CLCA10. After a single gavage challenge (5 × 106 CFU C. albicans), specific pathogen-free (SPF) mice remained colonized with C. albicans strain CLCA10, but not other Candida species, for at least 58 days with the fungus confined largely to the gut luminal …

Trends In Radiation Use From 2004 To 2020 Among Adolescents And Young Adults With Hodgkin Lymphoma, Kelsey L Corrigan, Amy M Berkman, Jillian Gunther, Clark R Andersen, Susan Wu, Amber Gibson, Branko Cuglievan, Miriam B Garcia, Gohar Manzar, Penny Fang, Brian De, Sairah Ahmed, Cesar Nunez, Michelle A T Hildebrandt, David C Mccall, Susan K Parsons, Michael E Roth

Faculty, Staff and Student Publications

Background: Hodgkin lymphoma has excellent survival rates in adolescents and young adults (AYA, diagnosed between ages 15 and 39 years). However, survivors are at risk of treatment-related late effects. Whereas radiotherapy (RT) de-escalation/omission has emerged as an approach to minimize late effects, no prior studies have evaluated RT use over time in AYAs with Hodgkin lymphoma.

Methods: Using the National Cancer Database, we identified 40,717 AYAs diagnosed with Hodgkin lymphoma between 2004 and 2020. Differences in sociodemographic and clinical variables were assessed using a two-sample two-sided t test or χ2 test. RT use was summarized per year by frequency with …

Targeting Aldh16a1 Mediated Thioredoxin Lysosomal Degradation To Enhance Ferroptosis Susceptibility In Smarca4-Deficient Nsclc, Guoshu Bi, Jiaqi Liang, Yunyi Bian, Guangyao Shan, Shencheng Ren, Haochun Shi, Xiaolong Huang, Junkan Zhu, Qun Wang, Wei Jiang, Boyi Gan, Cheng Zhan

Faculty, Staff and Student Publications

Ferroptosis, an iron-dependent form of cell death, holds promise for cancer therapy. However, the intricate link between ferroptosis and oncogenic mutations remains unclear. Here we show that SMARCA4, a well-established tumour suppressor whose deficiency is associated with poor prognosis and resistance to treatments, sensitizes non-small cell lung cancer (NSCLC) cells to ferroptosis. Mechanistically, SMARCA4 promotes chromatin accessibility and expression of ALDH16A1. Surprisingly, ALDH16A1 lacks ALDH enzymatic activity, but binds to the anti-ferroptotic oxidoreductase thioredoxin (TXN), facilitating its translocation to the lysosome and subsequent degradation. Meanwhile, ALDH16A1 directly inhibits TXN's oxidoreductase function by occluding its active site. We also show that …

Transcutaneous Spinal Stimulation Paired With Visual Feedback Facilitates Retention Of Improved Weight Transfer Toward The Affected Side In People Post-Stroke, Hyunje Park, Beom-Chan Lee, Dimitry Sayenko, Sheng Li, Seoung Hoon Park

The Brown Foundation: Institute of Molecular Medicine

Background: Many individuals with hemiparesis after stroke are reluctant to transfer their body weight toward the affected side and rely more heavily on the unaffected leg while walking. Although visual feedback (VF) has been utilized to improve their weight transfer during walking, the effects of transcutaneous spinal stimulation (TSS) paired with VF during locomotor training in people post-stroke remain largely unexplored. The purpose of this study, therefore, was to determine whether phasic TSS paired with VF regarding weight shifting to the affected leg during treadmill walking would enhance weight transfer toward the affected side.

Methods: Eleven individuals post-stroke participated in …

Weight Gain Among Tuberculosis Patients And Its Association With Socio-Demographic Profile And Disease-Related Characteristics In Urban And Rural Areas Of Mysuru., Sana Khader M, Smitha Malenahalli Chandrashekarappa, Anchu R Nath, Arun Gopi

Digital Journal of Clinical Medicine

Background: Tuberculosis remains a major public health burden in India, accounting for 25% of the global tuberculosis cases. Weight gain during tuberculosis treatment is a key recovery indicator influenced by sociodemographic and clinical factors. Addressing these challenges is crucial for achieving India’s Tuberculosis elimination goal by 2025.

Objectives: To assess weight gain across different phases of anti tubercular therapy among tuberculosis patients in urban and rural Mysuru, and to determine its association with sociodemographic and disease-related characteristics.

Methodology: A retrospective cross-sectional study was done using secondary data of tuberculosis patients who attended primary health care centers in …

Launching! To Adulthood, A Culturally Adapted Treatment Program For Military-Dependent Autistic Young Adults And Their Military Parents: A Pilot Study, Antonio F Pagán, Jordan Kenemore, Maj Mark Ahlenius, Linda Hernandez, Stephen Armstrong, Katherine A Loveland, Ron Acierno

Faculty, Staff and Student Publications

Introduction: Military-dependent young adults (17-25 years old) with autism spectrum disorder (ASD) face significant barriers to accessing services during their transition to adulthood. Frequent relocations, disrupted care, and limited ASD-tailored interventions exacerbate the challenges for these families, with many young adults experiencing a "service cliff" as they age out of pediatric care and school-based services. Addressing these gaps is critical, particularly given the rising mental health challenges and executive dysfunction in this population. This study evaluates the preliminary efficacy of an adapted telehealth intervention, the Military-Launching! program, designed to support young adults with ASD and their military families.

Materials and …

Ontology Accelerates Few-Shot Learning Capability Of Large Language Model: A Study In Extraction Of Drug Efficacy In A Rare Pediatric Epilepsy, Pedram Golnari, Katrina Prantzalos, Veronica Hood, Mary Anne Meskis, Lori L Isom, Karen Wilcox, Jack M Parent, Dennis Lal, Samden D Lhatoo, Howard P Goodkin, Elaine C Wirrell, Kelly G Knupp, Manisha Patel, Jeffrey A Loeb, Joseph E Sullivan, Lauren Harte-Hargrove, Brandy E Fureman, Jeffrey Buchhalter, Satya S Sahoo

Faculty, Staff and Student Publications

OBJECTIVE: Dravet Syndrome (DS) is a developmental and epileptic encephalopathy that is characterized by severe, prolonged motor seizures and high resistance to multiple antiseizure medications (ASMs) with multiple comorbidities. Evaluating the efficacy of new drugs in DS preclinical models and mapping them to human phenotypes of DS through analysis of published literature is an important goal for improving outcomes in this rare pediatric epilepsy.

MATERIALS AND METHODS: Large language models (LLM) have demonstrated great promise in parsing published literature; however, the performance of LLMs falls short in medical applications. In this study, we investigate the effectiveness of domain ontology developed …

Knowledge, Attitude, And Practice Towards Cervical Cancer Screening Among Women Aged 20 Years And Above In Mysuru, India, Sneha Manosh Kumar, Rashmi S, Amogha Shree

Digital Journal of Clinical Medicine

Background: Cervical cancer remains the fourth most common cancer among women globally and a leading cause of cancer-related mortality in India. Despite being largely preventable through screening, uptake remains suboptimal due to socio-cultural and systemic barriers.

Methods: A community-based cross-sectional study was conducted among 300 women aged ≥20 years residing in urban and rural areas of Mysuru. Data were collected using a pre-tested, semi-structured questionnaire and analyzed with SPSS version 30.

Results: Awareness of cervical cancer was reported by 90% of participants and of screening methods by 80%. However, only 21% had ever undergone screening and 17% within the preceding …

Looking Beyond Hospital Discharge: One-Year Mortality Following Tracheostomy Creation In Traumatically Injured Older Adults, Heather R Kregel, Jan-Michael Van Gent, Fatimah Sunez, Michael W Wandling, Krislynn M Mueck, Bryan A Cotton, David E Meyer, Laura J Moore, Lillian S Kao, Thaddeus J Puzio

Faculty, Staff and Student Publications

Introduction: We aimed to evaluate long-term outcomes following tracheostomy in older trauma patients and hypothesized that 1-year survival decreases with older age.

Methods: This was a descriptive analysis of intensive care unit patients ≥65 y old who underwent tracheostomy from 2015 to 2020. The National Death Index was accessed to determine time from tracheostomy creation to death. Groups were categorized by age. The primary outcome was 1-year mortality. Survival by age strata was analyzed using the Kaplan-Meier method.

Results: Of 205 eligible patients, 125 (61%) were 65-74, 68 (33%) were 75-84, and 12 (6%) were >85 y old. Median injury …

Enhancing Preparedness: A Genetic Study Of Sar-Cov-2 And Other Microbial Public Health Threats In Wastewater From A College Town, Christian N. Hutchinson

Master's Theses

Problem

The SARS-CoV-2 (COVID-19) pandemic revealed both the systemic vulnerabilities of our healthcare system as well as the importance of timely, localized data for informing public health responses. Traditional testing approaches were essential but often failed to capture the full extent of viral spread, especially in those with mild or asymptomatic conditions that relied on at home testing. This underreporting hindered effective allocation of resources and made developing effective intervention strategies difficult. We also realized the potential for wastewater surveillance to be applied to tracking antimicrobial resistance gene markers. Taken together, this approach should have important implications for improving public …

Author Correction: Ppp2r1a Mutations Portend Improved Survival After Cancer Immunotherapy, Yibo Dai, Anne Knisely, Mitsutake Yano, Minghao Dang, Emily M Hinchcliff, Sanghoon Lee, Annalyn Welp, Manoj Chelvanambi, Matthew Lastrapes, Heng Liu, Zhe Yuan, Chen Wang, Hao Nie, Stephanie Jean, Luis J Montaner, Jiakai Hou, Ami Patel, Shrina Patel, Bryan Fellman, Ying Yuan, Baohua Sun, Renganayaki Krishna Pandurengan, Edwin Roger Parra Cuentas, Joseph Celestino, Yan Liu, Jinsong Liu, R Tyler Hillman, Shannon N Westin, Anil K Sood, Pamela T Soliman, Aaron Shafer, Larissa A Meyer, David M Gershenson, David Vining, Dhakshinamoorthy Ganeshan, Karen Lu, Jennifer A Wargo, Weiyi Peng, Rugang Zhang, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

No abstract provided.

Is Our Assessment Of Bias In Academics … Biased?, Sunil A Sheth, Ashutosh P Jadhav, Tudor G Jovin

Faculty, Staff and Student Publications

No abstract provided.

Role Of Exchange Proteins Directly Activated By Camp Signaling In Vascular Remodeling, Xiaodong Cheng, Hua Liu, Wenbo Zhang, Wenli Yang, Fang Mei

Faculty, Staff and Student Publications

Vascular remodeling is a complex process involving the coordinated actions of multiple cellular signaling pathways in various cell types, leading to structural and functional changes in blood vessels. These changes can be adaptive, as in wound healing, or maladaptive, as seen in chronic vascular diseases such as atherosclerosis, hypertension, and retinopathy. Exchange proteins directly activated by cAMP (EPACs) are key players in cAMP-mediated cell signaling, distinct from the more traditionally studied protein kinase A pathway. EPAC proteins are guanine nucleotide exchange factors for the small G proteins Rap1 and Rap2. Recent studies have also revealed noncanonical functions of EPAC1 involving …

Knowledge, Attitude And Practice Of Artificial Intelligence Among Healthcare Professionals: An Online Cross-Sectional Survey, Nikhil R, Divya K L, Mahabaleshwar Mamadapur, Harshwardhan S Patil, Shashirekha B, Hema Sameera Pinnam, Purna Bansal

Digital Journal of Clinical Medicine

Background: Deep learning-powered Artificial Intelligence-driven assistance offers enormous potential to improve healthcare by facilitating administrative work, diagnosis, and the treatment of chronic diseases. The gap between clinical values and the day-to-day realities of primary care practice might widen if AI is not successfully incorporated.

Methods: A cross-sectional design was used to evaluate healthcare professionals' perceptions and understanding of AI within a clinical setting. The study was conducted among 456 Health care Workers from May to November 2024.

Results: Among 456 participants, 55.7% were MBBS students/interns, and 37.9% were postgraduates/professionals. More than 50% supported AI integration, and 62.3% of MBBS …

Moderate Coffee And Tea Consumption Is Associated With Slower Cognitive Decline, Stephanie R. Rainey-Smith, Kelsey R. Sewell, Belinda M. Brown, Hamid R. Sohrabi, Ralph N. Martins, Samantha L. Gardener

Research outputs 2022 to 2026

Background: Globally, coffee and tea are consumed extensively, potentially providing neuroprotection through anti-inflammatory and antioxidative stress effects. Objective: This study aimed to investigate associations between coffee and tea intake and cognitive function. Methods: In a longitudinal prospective cohort study, dementia-free (n = 8715; age range 60.0–85.2 years) older adults from the UK Biobank self-reported coffee and tea intake over the previous year; ‘never’, ‘moderate’ (1–3 cups/day), or ‘high’ (≥4 cups/day). Participants completed cognitive assessments at ≥2 timepoints (mean of 9.11 years). Results: Those ‘never’ consuming coffee and ‘moderate’ coffee consumers (β = 0.06, p = 0.005; β = 0.07, p <  0.001, respectively), as well as ‘moderate’ tea consumers and ‘high’ tea consumers (β = 0.06, p = 0.009; β = 0.06, p = 0.003, respectively) had slower fluid intelligence decline. Additionally, those ‘never’ consuming coffee and ‘moderate’ coffee consumers had a slower increase in pairs matching errors (β = −0.05, p = 0.022; β = 0.05, p = 0.013) compared to ‘high’ consumers. Conclusions: ‘Moderate’ coffee, and ‘moderate’ and ‘high’ tea intake may be a protective factor against cognitive decline. Randomized controlled trials are required to establish causal relationships leading to evidence-based recommendations regarding benefits of coffee and tea intake.

Combining Lumipulse P-Tau217 And Aβ42/40 As Confirmatory Tests For Aβ Positivity Prior To Disease-Modifying Therapy, James D. Doecke, Ahmed Chenna, Mintzu Lo, Youssouf Badal, Brandon Yee, Robert Martone, Christos Petropoulos, Christopher J. Fowler, Simon Laws, Stephanie R. Rainey-Smith, Ralph N. Martins, Christopher C. Rowe, Colin L. Masters, John Winslow

Research outputs 2022 to 2026

Introduction: For a blood-based biomarker to be considered a confirmatory test for the detection of abnormal amyloid beta (Aβ) levels, the sensitivity and specificity must be equivalent to that of current cerebrospinal fluid tests. Methods: In the current study we assessed the ability of phosphorylated tau (p-tau)217 and Aβ42/40 from the Lumipulse G p-tau217 and β-amyloid ratio (1-42/1-40) tests, individually and combined, to predict Aβ positron emission tomography status in two sub-cohorts from the Australian Imaging, Biomarkers, and Lifestyle Study of Ageing. Results: Testing an Alzheimer's disease continuum cohort, the area under the curve (AUC), sensitivity, specificity, and accuracy for …

Systematic Review And Evidence Gap Mapping Of Alzheimer's Disease Biomarker Studies In Those With Intellectual And Developmental Disability, Lubnaa B. Abdullah, Ney Alex Alliey, Emma Elizondo, Ney Alliey Rodriguez, Gladys Maestre, James Hall

School of Medicine Publications

There are a relatively small number of investigations into brain aging in those with intellectual and developmental disability (I/DD). This project seeks to (1) characterize the internationally available multi-omics Alzheimer's disease (AD) biomarker studies including those with I/DD, and (2) discuss future research directions. PubMed, Web of Science, and Scopus were searched under the following criteria: cross-sectional or longitudinal AD-omics studies on adults (18 +) with I/DD. 532 studies were identified, 186 studies were evaluated for full-text, 79 studies were excluded, and 117 studies were extracted. Most biological specimens were analyzed in blood, plasma, or serum. Metabolomics, hormonomics, and transcriptomics …

A Large-Scale Multi-Centre Study Characterising Atrophy Heterogeneity In Alzheimer's Disease, Vikram Venkatraghavan, Damiano Archetti, Pierrick Bourgeat, Chenyang Jiang, Mara Ten Kate, Anna C. Van Loenhoud, Rik Ossenkoppele, Charlotte E. Teunissen, Elsmarieke Van De Giessen, Yolande A.L. Pijnenburg, Giovanni B. Frisoni, Béla Weiss, Zoltán Vidnyánszky, Tibor Auer, Stanley Durrleman, Alberto Redolfi, Simon M. Laws, Paul Maruff, Neil P. Oxtoby, Andre Altmann, Daniel C. Alexander, Wiesje M. Van Der Flier, Frederik Barkhof, Betty M. Tijms

Research outputs 2022 to 2026

Previous studies identified atrophy-based Alzheimer's disease(AD) subtypes linked to distinct clinical symptoms, but their consistency across subtyping approaches remains unclear. This large-scale study evaluates subtype concordance using two data-driven approaches. In this work, we analyzed data from n=10,011 patients across 10 AD cohorts spanning Europe, the US, and Australia, extracting regional volumes using Freesurfer. To characterize atrophy heterogeneity in the AD continuum, we developed a two-step approach, Snowphlake (Staging NeurOdegeneration With PHenotype informed progression timeLine of biomarKErs), to identify subtypes and atrophy-event sequences within each subtype. Results were compared with SuStaIn (Subtype and Stage Inference), which jointly estimates subtypes and …

Personalised Learning In Medical Education – A Futuristic Model For Individual Learning Styles, Sujatha Mahadevarao Premnath, Ashwin Chand Ravichandran, Sivaa Rajendran

Digital Journal of Clinical Medicine

Medical education is transitioning from the traditional teacher-centred to a student-centred model, and an approach that caters to the diverse needs of the learner is necessary to meet these needs. Personalised learning is one such strategy that offers learning content based on individual profiles, learning styles, pace, and competency gaps. Here, the individual student receives content based on their preference, where the content can be created by educators leveraging technology, an adaptive learning platform, and artificial intelligence. It provides an inclusive and efficient learning platform that helps in creating more efficient medical graduates. This article explores the concept of personalized …

Secretogranin 2 Binds Lilrb4 Resulting In Immunosuppression, Xing Yang, Ryan Huang, Meng Fang, Yubo He, Jingjing Xie, Xiaoye Liu, Chengcheng Zhang, Qi Lou, Mi Deng, Wei Xiong, Cheryl Lewis, Zade Sadek, Ankit Gupta, Lianqi Chen, Xuewu Zhang, Lei Guo, Lin Xu, Ningyan Zhang, Zhiqiang An, Cheng Cheng Zhang

Faculty, Staff and Student Publications

Immunosuppressive myeloid cells are important in a variety of physiological and pathological contexts, including tumor development, but how hormones might regulate their activity is unclear. Secretogranins, a family of secretory proteins in endocrine and neuronal cells, are proposed to function as prohormones or hormones, but their specific receptors are unknown. Here we show that secretogranin 2 (SCG2), a granin family member, functionally interacts with leukocyte immunoglobulin-like receptor B4 (LILRB4) on monocytic cells. Tumor-derived SCG2 promotes tumor growth in myeloid-specific LILRB4 transgenic mice in a T cell-dependent manner, whereas SCG2 deficiency in host mice impairs tumor progression and reduces infiltration of …

Code Telestroke: On The Necessity Of Formalizing Training In Telestroke For Future Vascular Neurologists, Amanda L Jagolino-Cole, Christina Mijalski, Amy Katherine Guzik

Faculty, Staff and Student Publications

No abstract provided.