Medical Specialties Commons^™

Established And Emerging Asthma Biomarkers With A Focus On Biologic Trials: A Narrative Review, Philip F Lavere, Kaitlin M Phillips, Nicola A Hanania, Muhammad Adrish

Faculty, Staff and Students Publications

Chronic airway inflammation with variable airflow obstruction is clinical asthma, and it arises from distinct molecular and pathological mechanisms called endotypes. Biomarkers allow for precise endotype characterization and have been used in clinical trials to design, monitor, and evaluate outcomes for asthma biologic therapies. This review will highlight the central and evolving role of biomarkers for past, present, and future asthma, with a focus on regulatory-approved biologic therapies and emerging biomarkers. Established biomarkers, including serum immunoglobulin E (IgE), blood eosinophils, the fraction of exhaled nitric oxide (FeNO), and serum periostin, helped elucidate the complex pathophysiology of the eosinophilic type 2 …

Csf-Exosomal Mirnas And Delayed Cerebral Ischemia: Insights Into Pathophysiology But No Definitive Biomarkers, Chathathayil M Shafeeque, Devin W Mcbride, Yuanqing Yan, Hussein A Zeineddine, John P Hagen, H Alex Choi, Jude P Savarraj, Ari Dienel, Spiros L Blackburn, Peeyush Kumar Thankamani

Faculty, Staff and Student Publications

Background: Aneurysmal subarachnoid hemorrhage (aSAH) is notoriously known for its high mortality and morbidity. Approximately one-third of the patients who survive aneurysm rupture are reported to develop delayed cerebral ischemia (DCI), which contributes to a poor clinical outcome. Currently, there are no biomarkers for identifying which aSAH patients are at risk of developing DCI. We aimed to determine the feasibility of cerebrospinal fluid (CSF) exosomal microRNAs (miRNAs) for predicting DCI post-aSAH.

Methods: aSAH patients were prospectively enrolled, and CSF samples were collected at two time points (< 24 h and 72 h post-aSAH) from individuals undergoing external ventricular drainage. Exosomal miRNAs were isolated from the CSF for analysis. In the initial group of patients (discovery cohort), an exploratory analysis was conducted using a CSF panel containing 84 miRNAs, assessed by quantitative real-time PCR (RT-qPCR). Based on this analysis, 27 miRNAs were selected for further evaluation in a second group of patients (validation cohort). Among these, 10 miRNAs had previously been reported in SAH-related CSF studies, supporting their relevance for continued investigation.

Results: In this study, RT-qPCR analysis of 84 miRNAs in CSF samples from …

Dalbavancin For Treatment Of Staphylococcus Aureus Bacteremia: The Dots Randomized Clinical Trial, Nicholas A Turner, Toshimitsu Hamasaki, Sarah B Doernberg, Thomas P Lodise, Heather A King, Varduhi Ghazaryan, Sara E Cosgrove, Timothy C Jenkins, Catherine Liu, Shrabani Sharma, Smitha Zaharoff, Lana Wahid, Valerie J Renard, Paul Cook, Issam Raad, Ray Hachem, Anne-Marie Chaftari, Matthew Sims, Carmen Demarco, Loren G Miller, Matthew W Mccarthy, Caryn G Morse, Chris Lucasti, Graeme N Forrest, Kartikeya Cherabuddi, Christopher Polk, Tasaduq Fazili, Mark E Rupp, George R Thompson, Kami Kim, Luke Strnad, Amanda E Schnee, James A Mckinnell, Mayur Ramesh, Fernanda P Silveira, Todd P Mccarty, Todd C Lee, Emily G Mcdonald, Kristopher Paolino, Katie Wiegand, Alison Wall, Todd Riccobene, Rinal Patel, Urania Rappo, Scott Evans, Henry F Chambers, Vance G Fowler, Thomas L Holland

Faculty, Staff and Student Publications

Importance: Dalbavancin is a long-acting intravenous lipoglycopeptide that may be effective for treatment of complicated Staphylococcus aureus bacteremia without requiring long-term intravenous access.

Objective: To evaluate the efficacy and safety of dalbavancin vs standard therapy for completion of treatment of complicated S aureus bacteremia.

Design, setting, and participants: Open-label, assessor-masked, randomized clinical trial conducted from April 2021 to December 2023 at 23 medical centers in the US (n = 22) and Canada (n = 1). Participant follow-up lasted 70 days (180 days for participants with osteomyelitis); date of final follow-up was December 1, 2023. Hospitalized adults with complicated S aureus …

Extracellular Vesicles For Clinical Diagnostics: From Bulk Measurements To Single-Vesicle Analysis, Hai Linh Tran, Wenshu Zheng, David A Issadore, Hyungsoon Im, Yoon-Kyoung Cho, Yuanqing Zhang, Dingbin Liu, Yang Liu, Bo Li, Fei Liu, David Tai Wai Wong, Jiashu Sun, Kun Qian, Mei He, Meihua Wan, Yong Zeng, Ke Cheng, Tony Jun Huang, Daniel T Chiu, Luke P Lee, Lei Zheng, Andrew K Godwin, Raghu Kalluri, Steven A Soper, Tony Y Hu

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) play a crucial role in intercellular communication, signaling pathways, and disease pathogenesis by transporting biomolecules such as DNA, RNA, proteins, and lipids derived from their cells of origin, and they have demonstrated substantial potential in clinical applications. Their clinical significance underscores the need for sensitive methods to fully harness their diagnostic potential. In this comprehensive review, we explore EV heterogeneity related to biogenesis, structure, content, origin, sample type, and function roles; the use of EVs as disease biomarkers; and the evolving landscape of EV measurement for clinical diagnostics, highlighting the progression from bulk measurement to single vesicle …

Integrating Ctdna Analysis And Radiomics For Dynamic Risk Assessment In Localized Lung Cancer, Everett J Moding, Mohammad Shahrokh Esfahani, Cheng Jin, Angela B Hui, Barzin Y Nabet, Yufei Liu, Jacob J Chabon, Michael S Binkley, David M Kurtz, Emily G Hamilton, Aadel A Chaudhuri, Chih Long Liu, Zhe Li, Rene F Bonilla, Alice L Jiang, Brianna C Lau, Pablo Lopez, Jianzhong He, Yawei Qiao, Ting Xu, Luyang Yao, Saumil Gandhi, Zhongxing Liao, Millie Das, Kavitha J Ramchandran, Sukhmani K Padda, Joel W Neal, Heather A Wakelee, Michael F Gensheimer, Billy W Loo, Ruijiang Li, Steven H Lin, Ash A Alizadeh, Maximilian Diehn

Faculty, Staff and Student Publications

The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. Circulating tumor DNA (ctDNA) minimal residual disease after chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. Here, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration …

Rna Sequencing And Immunohistochemistry Jointly Improve Tumor Biomarker Interpretation, Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K Lennerz, Funda Meric-Bernstam, Alexander Bagaev

Faculty, Staff and Student Publications

This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC classifications. Expression levels of nine biomarkers-ESR1, PGR, AR, MKI67, ERBB2, CD274, CDX2, KRT7, and KRT20-were analyzed in 365 formalin-fixed, paraffin-embedded samples from breast, lung, gastrointestinal, and other solid carcinomas. Correlations between RNA-seq data and IHC scores were determined using Spearman's correlation coefficients, with RNA-seq cut-offs established to distinguish positive from negative IHC scores. The results revealed strong correlations for most biomarkers, with coefficients ranging from 0.53 to …

Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States, Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

Multiple myeloma (MM) is an aggressive hematologic malignancy arising from plasma cell (PC) proliferation in the bone marrow, progressing from its precursor states MGUS and SMM. Despite therapeutic advances, MM remains incurable, underscoring the need for better risk stratification and early detection. Tumor heterogeneity and dynamic immune microenvironment changes drive progression, yet bulk analyses overlook rare subpopulations critical to disease evolution and resistance. This study employed multiplexed targeted proteomics to characterize bone marrow aspirates (BMA) from 22 patients to observe the change in the distribution of PCs and tumor immune microenvironment (TiME) cells across MM disease states and controls. Bone …

Acquired Resistance In Cancer: Towards Targeted Therapeutic Strategies, Alice Soragni, Erik S Knudsen, Thomas N O'Connor, Cristina E Tognon, Jeffrey W Tyner, Beatrice Gini, Donghwa Kim, Trever G Bivona, Xingxing Zang, Agnieszka K Witkiewicz, David W Goodrich, Dadi Jiang, Seth T Gammon, Christopher D Willey, Paul C Boutros, Vlad C Sandulache, Abdullah A Osman, Jeffrey N Myers, Kamiya Mehla, Pankaj K Singh, Keith S Chan, Hongbo Gao, Himangi Marathe

Faculty, Staff and Student Publications

Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts for therapeutic failure in most patients. How resistance arises, varies across cancer types and differs depending on therapeutic modalities is incompletely understood. Novel strategies that address and overcome the various and complex resistance mechanisms necessitate a deep understanding of the underlying dynamics. We are at a crucial time when innovative technologies applied to patient-relevant tumour models have the potential to bridge the gap between fundamental research into mechanisms and timing of acquired resistance and clinical applications that translate these findings into actionable strategies to extend therapy efficacy. …

Characterization Of The Germline Pathogenic Mutational Landscape And Oncologic Outcomes Among 877 Patients With Invasive Lobular Carcinoma, Victoria D Huynh, Jason Mouabbi, Henry M Kuerer, Kerollos Nashat Wanis, Hiam M Abdel-Salam, Angelica M Gutierrez, Helen M Johnson, Anthony Lucci, Kelly K Hunt, Banu K Arun

Faculty, Staff and Student Publications

Purpose: There is a paucity of literature on germline pathogenic variants (gPVs) in patients with invasive lobular carcinoma (ILC). This study characterizes the landscape and compares clinicopathologic variables and treatment outcomes between those with and without gPVs.

Methods: A prospectively maintained institutional database was used to identify all patients diagnosed with nonmetastatic ILC who had germline genetic testing. Clinicopathologic characteristics and time to recurrence, contralateral cancer, and death were compared for patients with and without gPVs. Conditional hazard ratios, computed by Cox proportional hazards models, described associations between clinicopathologic factors, including gPV status, and cancer events.

Results: Of 4398 patients …

Single-Cell Transcriptomics Reveals Biomarker Heterogeneity Linked To Cdk4/6 Inhibitor Resistance In Breast Cancer Cell Lines, Ilenia Migliaccio, Martina Bonechi, Dario Romagnoli, Giulia Boccalini, Francesca Galardi, Cristina Guarducci, Agostina Nardone, Rachel Schiff, Laura Biganzoli, Luca Malorni, Matteo Benelli

Faculty, Staff and Students Publications

Cyclin dependent kinases 4 and 6 inhibitors have brought great improvements in the treatment of luminal breast cancer, but resistance is a major clinical hurdle. Multiple biomarkers of resistance have been proposed, but none is currently utilized in clinical practice. By performing single-cell RNA sequencing of seven palbociclib-naïve luminal breast cancer cell lines and palbociclib-resistant derivatives, we show that established biomarkers and pathways related to CDK4/6i resistance present marked intra- and inter- cell-line heterogeneity. Transcriptional features of resistance could be already observed in naïve cells correlating with levels of sensitivity (IC50) to palbociclib. Resistant derivatives showed transcriptional clusters that significantly …

Unveiling Spatial Heterogeneity In Medulloblastoma: A Multi-Omics Analysis Of Cellular State And Geographical Organization, Jiankang Li, Hailong Liu, Ziwei Wang, Jiao Zhang, Xuan Chen, Craig Daniels, Xiaochong Wu, Olivier Saulnier, Hiromichi Suzuki, Pasqualino De Antonellis, Alexandra Rasnitsyn, Winnie Ong, Evan Y Wang, Liam D Hendrikse, Yu Su, Yu Tian, Dongming Han, Ruohan Wang, Jialin Mo, Fei Liu, Kaiwen Deng, Dongyang Wang, Zhaoyang Feng, Yifei Jiang, Yanong Li, Yuting Ma, Zijia Liu, Meiyu Li, Peiyi Tian, Yanfeng Shi, Yong Jiang, Tao Yang, Shouwei Li, Jianfeng Liang, Jingchuan Wu, Ying Wang, Wanjing Zou, Yina Jiang, Lusheng Wang, Fang Chen, Xin Jin, Shuaicheng Li, Xiaoguang Qiu, Chunde Li, Ya Gao, Yujie Tang, Michael D Taylor, Tao Jiang

Faculty, Staff and Students Publications

Background: Despite numerous studies on medulloblastoma (MB) cell heterogeneity, the spatial characteristics of cellular states remain unclear.

Methods: We analyze single-nucleus and spatial transcriptomes and chromatin accessibility from human MB spanning four subgroups, to identify malignant cell populations and describe the spatial evolutionary trajectories. The spatial copy number variations (CNVs) patterns and niches were analyzed to investigate the cellular interactions.

Results: Three main malignant cell populations were identified, including progenitor-like, cycling, and differentiated populations. Gene signatures of cell populations strongly correlate to clinical outcomes. These tumor cell populations are geographically organized as stem-like and mature regions, highlighting their spatially heterogeneous …

Machine-Learning Driven Strategies For Adapting Immunotherapy In Metastatic Nsclc, Maliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky, Shenduo Li, Milena Petranovic, Carol C Wu, Brett W Carter, Girish S Shroff, Tina Cascone, Xiuning Le, Yasir Y Elamin, Mehmet Altan, Simon Heeke, Ajay Sheshadri, Joe Y Chang, Percy P Lee, Zhongxing Liao, Don L Gibbons, Ara A Vaporciyan, J Jack Lee, Ignacio I Wistuba, Cara Haymaker, Seyedali Mirjalili, David Jaffray, Justin F Gainor, Yanyan Lou, Alessandro Di Federico, Federica Pecci, Mark Awad, Biagio Ricciuti, John V Heymach, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remains limited, and single-feature biomarkers like PD-L1 prove inadequate. We develop a machine learning model using clinicogenomic data from four cohorts (MD Anderson n = 750; Mayo Clinic n = 80; Dana-Farber n = 1077; Stand Up To Cancer n = 393) to predict individual benefit from adding chemotherapy. Benefit scores are calculated using five distinct functions derived from 28 genomic and 6 clinical features. Our integrated model, A-STEP (Attention-based …

Detection Of Oncogenic Fusions In Colorectal Cancer Using A Partner-Agnostic Next-Generation Sequencing Approach, Andrew J Pellatt, Reagan M Barnett, Sante Gnerre, Kristin Edwards, Jason A Willis, Michael J Overmann, Kanwal Raghav, Christine M Parseghian, Arvind Dasari, M Pia Morelli, Alisha Bent, Madhulika Eluri, Nicholas Hornstein, Leylah M Drusbosky, Scott Kopetz, Van K Morris

Faculty, Staff and Student Publications

Background: Gene fusions exist with low prevalence in colorectal cancer (CRC), and the clinical utility of fusion testing in advanced CRC remains unclear. We sought to identify oncogenic fusions in patients with advanced CRC using a fusion partner-agnostic circulating tumor DNA (ctDNA) assay to better understand their clinical relevance.

Methods: We performed a retrospective analysis using de-identified data from 18,558 patients with advanced CRC who underwent ctDNA next-generation sequencing with Guardant360® from 2017 to 2022. These samples were subsequently reanalyzed with a partner-agnostic bioinformatics method to identify both clonal and non-clonal fusions. We analyzed for associations between fusions and MSI-H …

Potential Biological And Genetic Links Between Dementia And Osteoporosis: A Scoping Review, Abayomi N Ogunwale, Paul E Schulz, Jude K Des Bordes, Florent Elefteriou, Nahid J Rianon

Faculty, Staff and Students Publications

Background: The biological mediators for the epidemiologic overlap between osteoporosis and dementia are unclear. We undertook a scoping review of clinical studies to identify genetic and biological factors linked with these degenerative conditions, exploring the mechanisms and pathways connecting both conditions.

Methods: Studies selected (1) involved clinical research investigating genetic factors or biomarkers associated with dementia or osteoporosis, and (2) were published in English in a peer-reviewed journal between July 1993 and March 2025. We searched Medline Ovid, Embase, PsycINFO, the Cochrane Library, the Web of Science databases, Google Scholar, and the reference lists of studies following the guidelines for …

Role Of Lipoprotein(A) In Atherosclerotic Cardiovascular Disease In South Asian Individuals, Darshan Patel, Marlys L Koschinsky, Anandita Agarwala, Pradeep Natarajan, Harpreet S Bhatia, Anurag Mehta, Jaideep Patel, Matthew Peters, Shreya Pandya, Usman Sagheer, Raman Puri, Salim S Virani, Dinesh K Kalra

Faculty, Staff and Students Publications

South Asian individuals (SA), representing approximately one quarter of the global population, experience a disproportionately high burden of cardiovascular disease. Some of this increased susceptibility is accounted for by traditional risk factors such as diabetes, hypertension, carbohydrate-rich diets, and rising rates of obesity and metabolic syndrome. However, other previously underappreciated risk factors may also play a crucial role. These include environmental pollution, genetic factors, and Lp(a) (lipoprotein(a)). Various epidemiological and genetic studies support the role of Lp(a) as a causal and independent risk factor for atherosclerotic cardiovascular disease. SA have a higher prevalence of elevated Lp(a) levels (25% have levels …

Serum Metabolomic Profiling Of Incident Type 2 Diabetes Mellitus In The Multi-Ethnic Study Of Atherosclerosis And Rotterdam Study, Xuanwei Jiang, Fang Zhu, Gonçalo Graça, Xihao Du, Jinjun Ran, Fariba Ahmadizar, Alexis C Wood, Yanqiu Zhou, Denise M Scholtens, Ali Farzaneh, M Arfan Ikram, Alan Kuang, Carel W Le Roux, Meghana D Gadgil, Marilyn C Cornelis, Kent D Taylor, Xiuqing Guo, Mohsen Ghanbari, Laura J Rasmussen-Torvik, Russell P Tracy, Alain G Bertoni, Jerome I Rotter, David M Herrington, Philip Greenland, Maryam Kavousi, Victor W Zhong

Children’s Nutrition Research Center Staff Publications

Objective: This study aimed to investigate serum metabolomic biomarkers associated with incident type 2 diabetes mellitus (T2DM) and evaluate their performance in improving T2DM risk prediction.

Methods: Untargeted proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics analyses were conducted in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 3460; discovery cohort) and The Rotterdam Study (RS; n = 1556; replication cohort). Multivariable cause-specific hazards models were used to analyze the associations between 23 571 serum metabolomic spectral variables and incident T2DM. Replicated metabolites required an false discovery rate-adjusted P < .01 in MESA, P < .05 in RS, and consistent direction of association. Pathway and network analyses were conducted to elucidate biological mechanisms underlying T2DM development. The utility of the replicated metabolites in improving T2DM risk prediction was assessed based on the Framingham Diabetes Risk Score. A 2-sample Mendelian randomization was conducted to assess causal associations.

Results: Nineteen metabolites were significantly associated with incident T2DM. Pathway analyses …

Ctdna Analysis In Erbb2-Amplified Colorectal Cancer: Biomarker Analysis Of The Mypathway Trial, Funda Meric-Bernstam, Kanwal Pratap Singh Raghav, Christopher J Sweeney, Charles Swanton, David R Spigel, Ron Bose, Howard A Burris, Claire F Friedman, Carin R Espenschied, Jessica M Grindheim, Julia Malato, Katja Schulze, Richard Price, Razelle Kurzrock

Faculty, Staff and Student Publications

Purpose: A combination of two HER2-directed antibodies, pertuzumab and trastuzumab (P + T), has antitumor activity in HER2-positive colorectal cancer. Although liquid biopsies are increasingly being used in clinical oncology, the association between tumor and ctDNA ERBB2 status and ctDNA monitoring for early response and resistance are unknown.

Patients and methods: Eighty-five patients with ERBB2-amplified and/or -overexpressed colorectal cancer were treated with P + T in the MyPathway trial; 42 had ctDNA testing at cycle (C) 1 day (D) 1, and 38 had longitudinal plasma tested for ctDNA. We analyzed the ctDNA versus tissue ERBB2 concordance, genomic co-alterations, and ctDNA …

Gene Expression In Tumor And Adjacent Normal Tissues In Lung Adenocarcinoma Subtypes, Olga Y Gorlova, Ivan P Gorlov, R Taylor Ripley, Chao Cheng, Yafang Li, Bo Peng, Yanhong Liu, Hee-Jin Jang, Sung Wook Kang, Claire Lee, Priyanka Ranchod, Bryan M Burt, Hyun-Sung Lee, Christopher I Amos

Faculty, Staff and Students Publications

Background: Lung adenocarcinoma (LUAD) has several histologically distinct subtypes that differ by a number of clinical features including patient survival. Molecular mechanisms underlying histological and clinical differences between subtypes remain poorly understood.

Methods: We conducted a comparative analyses of gene expression in acinar, lepidic, papillary and solid subtypes, as well as mucinous adenocarcinoma. We used a novel, more efficient approach to identify subtype-specific genes. We compared the mean gene expression level separately for tumors and adjacent normal tissue with pure or a highly represented (≥ 75%) subtype of interest to the mean expression in tumors where the subtype of interest …

The Overlooked Impact Of Background Diet And Adherence In Nutrition Trials, Javier I Ottaviani, Hagen Schroeter, Dennis M Bier, John W Erdman, Howard D Sesso, Joann E Manson, Gunter G C Kuhnle

Children’s Nutrition Research Center Staff Publications

Randomised controlled trials in nutrition (RCTN) face unique challenges, including the considerable influence of the background diet and the challenge of assuring intervention adherence by participants. The impact of these factors on the outcome of RCTNs has been difficult to quantify, but nutritional biomarkers represent a valuable tool to address these challenges. Using flavanols as a model dietary intervention and a set of recently validated flavanol biomarkers, we here investigated the impact of background diet and adherence on the outcomes of a subcohort of the COcoa Supplement and Multivitamin Outcomes Study (COSMOS, NCT 02422745). We found that 20% of participants …

Prognostic Value Of Lipoprotein(A) For Cardiovascular Events After Lower Limb Revascularization In Diabetic Patients With Chronic Limb-Threatening Ischemia, Federico Biscetti, Maria Margherita Rando, Maria Anna Nicolazzi, Flavia Angelini, Roberto Iezzi, Luis H. Eraso, Paul J. Dimuzio, Dario Pitocco, Massimo Massetti, Antonio Gasbarrini, Andrea Flex

Department of Surgery Faculty Papers

BACKGROUND: Chronic limb-threatening ischemia (CLTI) presents a major clinical challenge in patients with Type 2 Diabetes Mellitus (T2DM), requiring lower extremity revascularization (LER) to mitigate adverse cardiovascular and limb outcomes. Lipoprotein(a) (Lp(a)) has been implicated in cardiovascular risk, but its role in patients with T2DM and CLTI undergoing revascularization remains unclear. Thus, this study aimed to investigate the prognostic value of Lp(a) levels in diabetic CLTI patients for major adverse cardiovascular events (MACE), major adverse limb events (MALE), or both after LER.

METHODS: In this prospective cohort study of 158 individuals with T2DM and CLTI undergoing LER, baseline clinical data …

Extracellular Vesicles In Cancer: From Isolation And Characterization To Metastasis, Drug Resistance, And Clinical Applications, Ancuta Jurj, Doru Paul, George A Calin

Faculty, Staff and Student Publications

Cancer progression, along with other hallmarks of cancer, is sustained through bidirectional cell-to-cell communication. This function is primarily facilitated by lipid-rich nanoparticles expelled into the extracellular matrix by stromal and/or malignant cells. These entities, known as extracellular vesicles, contain a vast repertoire of bioactive molecules and hold promise as potential biomarkers and nanovehicles for drug delivery. Intriguingly, the cellular and molecular mechanisms governing the functions of extracellular vesicles remain poorly understood. In the present manuscript, we highlight the intracellular and intercellular journey of extracellular vesicles, from their inception to the present day, their implications in various hallmarks of cancer, and …

Pan-Cancer Copy Number Analysis Identifies Optimized Size Thresholds And Co-Occurrence Models For Individualized Risk Stratification, Minh P Nguyen, William C Chen, Kanish Mirchia, Abrar Choudhury, Naomi Zakimi, Vijay Nitturi, Tiemo J Klisch, Stephen T Magill, Calixto-Hope G Lucas, Akash J Patel, David R Raleigh

Faculty, Staff and Students Publications

Chromosome instability leading to aneuploidy and accumulation of copy number gains or losses is a hallmark of cancer. Copy number alteration (CNA) signatures are increasingly used for cancer risk stratification, but size thresholds for defining CNAs across cancers are variable and the biological and clinical implications of CNA size heterogeneity and co-occurrence are incompletely understood. Here we analyze CNA and clinical data from 691 meningiomas and 10,383 tumors from The Cancer Genome Atlas to develop cancer- and chromosome-specific size-dependent CNA and CNA co-occurrence models to predict tumor control and overall survival. Our results shed light on technical considerations for biomarker …

Exploring The Clinical Utility Of Neurofilament Light Chain Assays In Multiple Sclerosis Management., Amit Bar-Or, Jacqueline Nicholas, Jenny Feng, Francesca Sorrell, Mark Cascione

Neuroscience Articles

Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease that affects nearly 1 million adults in the United States. Owing to its unpredictable disease course, diverse phenotypes, and an array of currently available disease-modifying therapies, a personalized approach to MS management is required. There is an unmet need to identify, validate, and incorporate prognostic, monitoring, and predictive biomarkers into routine clinical practice for MS. A mounting body of evidence supports the use of blood biomarkers, such as neurofilament light chain (NfL), in predicting disease activity and monitoring treatment response. Previous hurdles for the widespread use of NfL in the …

Integrative Analysis Reveals The Prognostic Effects Of Epigenetic Regulators In Bladder Cancer, Venugopalareddy Mekala, Yupei Lin, Xiang Wang, Naail Chowdhury, Jianrong Li, Chao Cheng

Faculty, Staff and Students Publications

Background: Epigenetic regulatory genes (epiRG) are pivotal in the epigenetic regulation of the human genome, primarily through DNA and histone modifications. These genes are frequently mutated in human cancers, particularly bladder cancer (BC). However, the functional impact of epiRG mutations on patient outcomes remains poorly understood.

Methods: In this study, we developed gene signatures for the most frequent genomic aberrations of epiRG using The Cancer Genome Atlas Bladder Carcinoma (TCGA-BLCA) dataset and validated these signatures with independent tumor expression profiles for prognostic relevance. Furthermore, we evaluated the role of these signature scores in the immune system within the tumor microenvironment …

Microbial Biosensor For Sensing And Treatment Of Intestinal Inflammation, Duolong Zhu, Jeffrey Galley, Jason Pizzini, Elena Musteata, Martin V Douglas, Walter J Chazin, Eric P Skaar, Jeffrey J Tabor, Robert A Britton

Faculty, Staff and Students Publications

Synthetic biology has enabled the development of biosensors to detect intestinal inflammation, yet few target the clinically validated biomarker of intestinal inflammation calprotectin with both diagnostic and therapeutic capabilities. Here, an optimized calprotectin biosensor is presented that leverages a zinc uptake regulator (Zur) controlled promoter coupled with a memory circuit to detect and record intestinal inflammation in vivo. The level of biosensor activation strongly correlates with calprotectin levels in the colon of two independent mouse models of colitis. Coupling of the biosensor with the production of the anti-inflammatory cytokine IL10 allowed for the resolution of chemically induced colitis, demonstrating the …

Defining Lipedema’S Molecular Hallmarks By Multi-Omics Approach For Disease Prediction In Women, Leon G Straub, Jan-Bernd Funcke, Nolwenn Joffin, Chanmin Joung, Sara Al-Ghadban, Shangang Zhao, Qingzhang Zhu, Ilja L Kruglikov, Yi Zhu, Paul R Langlais, Ruth Gordillo, Karen L Herbst, Philipp E Scherer

Children’s Nutrition Research Center Staff Publications

Lipedema is a chronic disease in females characterized by pathologic subcutaneous adipose tissue expansion and hitherto remains without druggable targets. In this observational study, we investigated the molecular hallmarks of lipedema using an unbiased multi-omics approach. We found adipokine dysregulation in lipedema patients participating in a cross-sectional clinical study (ClinicalTrial.gov, NCT02838277), pointing towards the adipocyte as a key player. Analyses of newly generated transcriptomic (SRA, PRJNA940039) and proteomic (ProteomeXchange, PXD058489) datasets of early- and late-stage lipedema samples revealed a local downregulation of factors involved in inflammation. Concomitantly, factors involved in cellular respiration, oxidative phosphorylation, as well as in mitochondrial …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Abril Carrillo, Adrian Coria Medrano, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

Hydration Status And Acute Kidney Injury Biomarkers In Ncaa Female Soccer Athletes During Preseason Conditioning, Daniel E Newmire, Erica M Filep, Jordan B Wainwright, Heather E Webb, Darryn S Willoughby

Faculty, Staff and Students Publications

Exercise training in extreme temperatures concurrent with hypohydration status may potentiate the development of acute kidney injury (AKI) in young, healthy persons.

Background/Objectives: It is unknown how repeated training bouts in ambient higher temperatures and humidity may influence measures of AKI. The purpose of this study was to investigate hydration status and renal biomarkers related to AKI in NCAA Division I female soccer athletes during preseason conditioning.

Methods: A convenience sample of n = 21 athletes were recruited (mean ± SEM; age: 19.3 ± 0.25 y; height: 169.6 ± 1.36 cm; mass: 68.43 ± 2.46 kg; lean body …

Risk Factors For Serious Bacterial Infections Among Young Infants With Hypothermia: Protocol For A Multicenter, Retrospective Case-Control Study, Sriram Ramgopal, Paul Aronson, Douglas Lorenz, Alexander Joseph Rogers, Andrea Tania Cruz

Faculty, Staff and Students Publications

Background: Hypothermia in young infants presenting to the emergency department (ED) may indicate a serious bacterial infection (SBI) such as a urinary tract infection, bacteremia, or bacterial meningitis. Improved understanding of the epidemiology of SBI in infants with hypothermia and the development of prediction models can help avoid unnecessary invasive procedures and antimicrobial exposure.

Objective: The aim of the study is to (1) describe the epidemiology of SBI and herpes simplex virus (HSV) among infants with hypothermia, (2) assess the role of biomarkers in predicting SBI, and (3) derive and internally validate a multivariable predictive model for SBI among infants …

Blood-Based Proteomic Profiling Identifies Osmr As A Novel Biomarker Of Aml Outcomes, Patrick K Reville, Bofei Wang, Jennifer Marvin-Peek, Bin Yuan, Yu-An Kuo, Araceli Garza, Jessica Root, Wei Qiao, Andrea Arruda, Ivo Veletic, Yiwei Liu, Nicholas J Short, Courtney D Dinardo, Tapan M Kadia, Naval G Daver, Philip L Lorenzi, Koji Sasaki, Steven Kornblau, Mark D Minden, Farhad Ravandi, Hagop M Kantarjian, Hussein A Abbas

Faculty, Staff and Student Publications

Inflammation is increasingly recognized as a critical factor in acute myeloid leukemia (AML) pathogenesis. We performed blood-based proteomic profiling of 251 inflammatory proteins in 543 patients with newly diagnosed AML. Using a machine learning model, we derived an 8-protein prognostic score termed the leukemia inflammatory risk score (LIRS). Individual proteins were evaluated in multivariable Cox models, and model performance was assessed by cumulative concordance index. Findings were validated in internal and external cohorts across 2 institutions. Blood-based LIRS significantly outperformed the European LeukemiaNet 2022 risk model and was independently prognostic of overall survival after accounting for known clinical and molecular …