Medical Specialties Commons^™

A Precision Environmental Health Approach To Prevention Of Human Disease, Andrea Baccarelli, Dana C Dolinoy, Cheryl Lyn Walker

Faculty, Staff and Students Publications

Human health is determined by the interaction of our environment with the genome, epigenome, and microbiome, which shape the transcriptomic, proteomic, and metabolomic landscape of cells and tissues. Precision environmental health is an emerging field leveraging environmental and system-level ('omic) data to understand underlying environmental causes of disease, identify biomarkers of exposure and response, and develop new prevention and intervention strategies. In this article we provide real-life illustrations of the utility of precision environmental health approaches, identify current challenges in the field, and outline new opportunities to promote health through a precision environmental health framework.

Enhancing Cancer Diagnosis With Real-Time Feedback: Tumor Metabolism Through Hyperpolarized 1-13c Pyruvate Mrsi, Gaurav Sharma, José S Enriquez, Ryan Armijo, Muxin Wang, Pratip Bhattacharya, Shivanand Pudakalakatti

Faculty, Staff and Student Publications

This review article discusses the potential of hyperpolarized (HP) 13C magnetic resonance spectroscopic imaging (MRSI) as a noninvasive technique for identifying altered metabolism in various cancer types. Hyperpolarization significantly improves the signal-to-noise ratio for the identification of 13C-labeled metabolites, enabling dynamic and real-time imaging of the conversion of [1-13C] pyruvate to [1-13C] lactate and/or [1-13C] alanine. The technique has shown promise in identifying upregulated glycolysis in most cancers, as compared to normal cells, and detecting successful treatment responses at an earlier stage than multiparametric MRI in breast and prostate cancer patients. The review provides a concise overview of the applications …

Machine Learning Models For The Identification Of Prognostic And Predictive Cancer Biomarkers: A Systematic Review, Qasem Al-Tashi, Maliazurina B Saad, Amgad Muneer, Rizwan Qureshi, Seyedali Mirjalili, Ajay Sheshadri, Xiuning Le, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

The identification of biomarkers plays a crucial role in personalized medicine, both in the clinical and research settings. However, the contrast between predictive and prognostic biomarkers can be challenging due to the overlap between the two. A prognostic biomarker predicts the future outcome of cancer, regardless of treatment, and a predictive biomarker predicts the effectiveness of a therapeutic intervention. Misclassifying a prognostic biomarker as predictive (or vice versa) can have serious financial and personal consequences for patients. To address this issue, various statistical and machine learning approaches have been developed. The aim of this study is to present an in-depth …

Assessment And Prediction Of Glioblastoma Therapy Response: Challenges And Opportunities, Dan Qi, Jing Li, C Chad Quarles, Ekokobe Fonkem, Erxi Wu

Faculty, Staff and Student Publications

Glioblastoma is the most aggressive type of primary adult brain tumour. The median survival of patients with glioblastoma remains approximately 15 months, and the 5-year survival rate is < 10%. Current treatment options are limited, and the standard of care has remained relatively constant since 2011. Over the last decade, a range of different treatment regimens have been investigated with very limited success. Tumour recurrence is almost inevitable with the current treatment strategies, as glioblastoma tumours are highly heterogeneous and invasive. Additionally, another challenging issue facing patients with glioblastoma is how to distinguish between tumour progression and treatment effects, especially when relying on routine diagnostic imaging techniques in the clinic. The specificity of routine imaging for identifying tumour progression early or in a timely manner is poor due to the appearance similarity of post-treatment effects. Here, we concisely describe the current status and challenges in the assessment and early prediction of therapy response and the early detection of tumour progression or recurrence. We also summarize and discuss studies of advanced approaches such as quantitative imaging, liquid biomarker discovery and machine intelligence that hold exceptional potential to aid in the therapy monitoring of this malignancy and early prediction of therapy response, which may decisively transform the conventional detection methods in the era of precision medicine.

Serum Micrornas Associated With Concussion In Football Players, Dorota Wyczechowska, Paul Harch, Shelly Mullenix, Erin S. Fannin, Brenda B. Chiappinelli, Duane Jeansonne, Adam Lassak, Nicolas G. Bazan, Francesca Peruzzi

School of Medicine Faculty Publications

Mild Traumatic Brain Injury (mild TBI)/concussion is a common sports injury, especially common in football players. Repeated concussions are thought to lead to long-term brain damage including chronic traumatic encephalopathy (CTE). With the worldwide growing interest in studying sport-related concussion the search for biomarkers for early diagnosis and progression of neuronal injury has also became priority. MicroRNAs are short, non-coding RNAs that regulate gene expression post-transcriptionally. Due to their high stability in biological fluids, microRNAs can serve as biomarkers in a variety of diseases including pathologies of the nervous system. In this exploratory study, we have evaluated changes in the …

The Potential Regulation Of A-To-I Rna Editing On Genes In Parkinson's Disease, Sijia Wu, Qiuping Xue, Xinyu Qin, Xiaoming Wu, Pora Kim, Jacqueline Chyr, Xiaobo Zhou, Liyu Huang

Faculty, Staff and Student Publications

Parkinson's disease (PD) is characterized by dopaminergic neurodegeneration and an abnormal accumulation of α-synuclein aggregates. A number of genetic factors have been shown to increase the risk of PD. Exploring the underlying molecular mechanisms that mediate PD's transcriptomic diversity can help us understand neurodegenerative pathogenesis. In this study, we identified 9897 A-to-I RNA editing events associated with 6286 genes across 372 PD patients. Of them, 72 RNA editing events altered miRNA binding sites and this may directly affect miRNA regulations of their host genes. However, RNA editing effects on the miRNA regulation of genes are more complex. They can (1) …

Mechanisms Of Chromosomal Instability (Cin) Tolerance In Aggressive Tumors: Surviving The Genomic Chaos, Brittiny Dhital, Veronica Rodriguez-Bravo

Student Papers, Posters & Projects

Chromosomal instability (CIN) is a pervasive feature of human cancers involved in tumor initiation and progression and which is found elevated in metastatic stages. CIN can provide survival and adaptation advantages to human cancers. However, too much of a good thing may come at a high cost for tumor cells as excessive degree of CIN-induced chromosomal aberrations can be detrimental for cancer cell survival and proliferation. Thus, aggressive tumors adapt to cope with ongoing CIN and most likely develop unique susceptibilities that can be their Achilles' heel. Determining the differences between the tumor-promoting and tumor-suppressing effects of CIN at the …

The Role Of Extracellular Vesicles In Cancer, Raghu Kalluri, Kathleen M Mcandrews

Faculty, Staff and Student Publications

Intercellular communication is a key feature of cancer progression and metastasis. Extracellular vesicles (EVs) are generated by all cells, including cancer cells, and recent studies have identified EVs as key mediators of cell-cell communication via packaging and transfer of bioactive constituents to impact the biology and function of cancer cells and cells of the tumor microenvironment. Here, we review recent advances in understanding the functional contribution of EVs to cancer progression and metastasis, as cancer biomarkers, and the development of cancer therapeutics.

Quantitative Proteomic Screening Uncovers Candidate Diagnostic And Monitoring Serum Biomarkers Of Ankylosing Spondylitis, Mark Hwang, Shervin Assassi, Jim Zheng, Jessica Castillo, Reyna Chavez, Kamala Vanarsa, Chandra Mohan, John Reveille

Faculty, Staff and Student Publications

BACKGROUND: We sought to discover serum biomarkers of ankylosing spondylitis (AS) for diagnosis and monitoring disease activity.

METHODS: We studied biologic-treatment-naïve AS and healthy control (HC) patients' sera. Eighty samples matched by age, gender, and race (1:1:1 ratio) for AS patients with active disease, inactive disease, and HC were analyzed with SOMAscan™, an aptamer-based discovery platform. T-tests tests were performed for high/low-disease activity AS patients versus HCs (diagnosis) and high versus low disease activity (Monitoring) in a 2:1 and 1:1 ratio, respectively, to identify differentially expressed proteins (DEPs). We used the Cytoscape Molecular Complex Detection (MCODE) plugin to find clusters …

A Distinct Pattern Of Growth And Rac1 Signaling In Melanoma Brain Metastasis Cells, Ioana Stejerean-Todoran, Phyllis A Gimotty, Andrea Watters, Patricia Brafford, Clemens Krepler, Tetiana Godok, Haiyin Li, Zuriñe Bonilla Del Rio, Anke Zieseniss, Dörthe M Katschinski, Sinem M Sertel, Silvio O Rizzoli, Bradley Garman, Katherine L Nathanson, Xiaowei Xu, Qing Chen, Jack H Oswald, Michal Lotem, Gordon B Mills, Michael A Davies, Michael P Schön, Ivan Bogeski, Meenhard Herlyn, Adina Vultur

Faculty, Staff and Student Publications

Background: Melanoma, the deadliest of skin cancers, has a high propensity to form brain metastases that are associated with a markedly worsened prognosis. In spite of recent therapeutic advances, melanoma brain lesions remain a clinical challenge, biomarkers predicting brain dissemination are not clear and differences with other metastatic sites are poorly understood.

Methods: We examined a genetically diverse panel of human-derived melanoma brain metastasis (MBM) and extracranial cell lines using targeted sequencing, a Reverse Phase Protein Array, protein expression analyses, and functional studies in vitro and in vivo.

Results: Brain-specific genetic alterations were not detected; however, MBM cells in vitro …

Mutation-Agnostic Detection Of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures, Mohamed A Gouda, Dzifa Y Duose, Morten Lapin, Stephanie Zalles, Helen J Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I Aldesoky, Alshimaa M Alhanafy, Mohamed A Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I Wistuba, Rajyalakshmi Luthra, Filip Janku

Faculty, Staff and Student Publications

Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal …

Comprehensive Proteomics And Platform Validation Of Urinary Biomarkers For Bladder Cancer Diagnosis And Staging, Kamala Vanarsa, Jessica Castillo, Long Wang, Kyung Hyun Lee, Claudia Pedroza, Yair Lotan, Chandra Mohan

Faculty, Staff and Student Publications

BACKGROUND: Bladder cancer (BC) is among the most common cancers diagnosed in men in the USA. The current gold standards for the diagnosis of BC are invasive or lack the sensitivity to correctly identify the disease.

METHODS: An aptamer-based screen analyzed the expression of 1317 proteins in BC compared to urology clinic controls. The top hits were subjected to systems biology analyses. Next, 30 urine proteins were ELISA-validated in an independent cohort of 68 subjects. Three of these proteins were next validated in an independent BC cohort of differing ethnicity.

RESULTS: Systems biology analysis implicated molecular functions related to the …

Identification Of Protein Biomarkers Of The Dietary Approaches To Stop Hypertension Diet In Randomized Feeding Studies And Validation In An Observational Study, Hyunju Kim, Alice H Lichtenstein, Peter Ganz, Shutong Du, Olive Tang, Bing Yu, Nilanjan Chatterjee, Lawrence J Appel, Josef Coresh, Casey M Rebholz

Faculty, Staff and Student Publications

Background

The Dietary Approaches to Stop Hypertension (DASH) diet is recommended for cardiovascular disease prevention. We aimed to identify protein biomarkers of the DASH diet using data from 2 randomized feeding studies and validate them in an observational study, the ARIC (Atherosclerosis Risk in Communities) study.

Methods and Results

Large‐scale proteomic profiling was conducted in serum specimens (SomaLogic) collected at the end of 8‐week and 4‐week DASH diet interventions in multicenter, randomized controlled feeding studies of the DASH trial (N=215) and the DASH‐Sodium trial (N=396), respectively. Multivariable linear regression models were used to compare the relative abundance of 7241 proteins …

The Glycoprotein Cd147 Defines Mirna-Enriched Extracellular Vesicles That Derive From Cancer Cells, Song Yi Ko, Wonjae Lee, Melanie Weigert, Eric Jonasch, Ernst Lengyel, Honami Naora

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) are ideal for liquid biopsy, but distinguishing cancer cell‐derived EVs and subpopulations of biomarker‐containing EVs in body fluids has been challenging. Here, we identified that the glycoproteins CD147 and CD98 define subpopulations of EVs that are distinct from classical tetraspanin+ EVs in their biogenesis. Notably, we identified that CD147+ EVs have substantially higher microRNA (miRNA) content than tetraspanin+ EVs and are selectively enriched in miRNA through the interaction of CD147 with heterogeneous nuclear ribonucleoprotein A2/B1. Studies using mouse xenograft models showed that CD147+ EVs predominantly derive from cancer cells, whereas the majority of tetraspanin+ EVs are not …

Reclassification Of Pre-Heart Failure Stages Using Cardiac Biomarkers: The Aric Study, Xiaoming Jia, Mahmoud Al Rifai, Chiadi E Ndumele, Salim S Virani, James A De Lemos, Emmanuel Lee, Amil M Shah, Justin B Echouffo-Tcheugui, Biykem Bozkurt, Ron Hoogeveen, Elizabeth Selvin, Christie M Ballantyne, Vijay Nambi

Faculty, Staff and Students Publications

BACKGROUND: The recent heart failure (HF) guideline recommends the inclusion of cardiac biomarkers in defining Stage B HF.

OBJECTIVES: The authors evaluated the impact of incorporating cardiac biomarkers to reclassify HF in 5,324 participants (mean age: 75.8 years) without prevalent HF enrolled in the ARIC (Atherosclerosis Risk In Communities) study and assessed prognosis of Stage B using cardiac biomarkers.

METHODS: Using N-terminal pro-B-type natriuretic peptide (/mL or ≥125 pg/mL), high-sensitivity troponin T (/L or ≥14 ng/L), and abnormal cardiac structure/function by echocardiography, individuals were classified as Stage A

RESULTS: Overall, 4,326 (81.3%) individuals were classified as Stage B

CONCLUSIONS: Incorporating …

Covariate-Specific Evaluation Of Continuous Biomarker, Ziyi Li, Yijian Huang, Dattatraya Patil, Mark Rubin, Martin G Sanda

Faculty, Staff and Student Publications

Diagnostic tests usually need to operate at a high sensitivity or specificity level in practice. Accordingly, specificity at the controlled sensitivity, or vice versa, is a clinically sensible performance metric for evaluating continuous biomarkers. Meanwhile, the performance of a biomarker may vary across sub-populations as defined by covariates, and covariate-specific evaluation can be informative. In this article, we develop a novel modeling and estimation method for covariate-specific specificity at a controlled sensitivity level. Unlike existing methods which typically adopt elaborate models of covariate effects over the entire biomarker distribution, our approach models covariate effects locally at a specific sensitivity level …

Protocol And Biomarker Strategy For A Multi-Site Randomized Controlled Trial Examining Biological Mechanisms And Dosing Of Active Music Engagement In Children With Acute Lymphoblastic Leukemia And Lymphoma And Parents., Sheri L. Robb, Kristen A. Russ, Steven J. Holochwost, Kristin Stegenga, Susan M. Perkins, Seethal A. Jacob, Amanda K. Henley, Jessica A. Maclean

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Music therapy is a standard palliative care service in many pediatric and adult hospitals; however, most research has focused on the use of music to improve psychosocial dimensions of health, without considering biological dimensions. This study builds on prior work examining psychosocial mechanisms of action underlying an Active Music Engagement (AME) intervention, designed to help manage emotional distress and improve positive health outcomes in young children with cancer and parents (caregivers), by examining its effects on biomarkers of stress and immune function.

METHODS: This two-group randomized controlled trial (R01NR019190) is designed to examine biological mechanisms of effect and dose-response …

Clinical Features And Shared Mechanisms Of Chronic Gastritis And Osteoporosis, Tao Han, Yili Zhang, Baoyu Qi, Ming Chen, Kai Sun, Xiaokuan Qin, Bowen Yang, He Yin, Aili Xu, Xu Wei, Liguo Zhu

Faculty, Staff and Student Publications

Chronic gastritis (CG) and osteoporosis (OP) are common and occult diseases in the elderly and the relationship of these two diseases have been increasingly exposed. We aimed to explore the clinical characteristics and shared mechanisms of CG patients combined with OP. In the cross-sectional study, all participants were selected from BEYOND study. The CG patients were included and classified into two groups, namely OP group and non-OP group. Univariable and multivariable logistic regression methods were used to evaluate the influencing factors. Furthermore, CG and OP-related genes were obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified …

Nationwide Results Of Microorganism Antigen Testing As A Component Of Preoperative Synovial Fluid Analysis., Krista O'Shaughnessey Toler, Pearl Ravindra Paranjape, Alex Mclaren, Brett Levine, Alvin Ong, Carl Deirmengian

Rothman Institute Papers

BACKGROUND: Antigen immunoassays to detect synovial fluid (SF) microorganisms have recently been made available for clinical use. The purpose of this study was to determine the sensitivity and specificity of an SF microorganism antigen immunoassay detection (MID) panel, evaluate the panel's capability to detect microorganisms in the setting of culture-negative periprosthetic joint infection (PJI), and determine diagnostic predictive values of the MID panel for PJI.

METHODS: This study included 67,441 SF samples obtained from a hip or knee arthroplasty, from 2,365 institutions across the United States, submitted to 1 laboratory for diagnostic testing. All data were prospectively compiled and then …

Sequential Targeting Of Retinoblastoma And Dna Synthesis Pathways Is A Therapeutic Strategy For Sarcomas That Can Be Monitored In Real Time, Tuyen Duong Thanh Nguyen, Yan Wang, Tuyen N Bui, Rossana Lazcano, Davis R Ingram, Min Yi, Varshini Vakulabharanam, Linjie Luo, Marc A Pina, Cansu Karakas, Mi Li, Nicole M Kettner, Neeta Somaiah, Peter J Hougton, Osama Mawlawi, Alexander J Lazar, Kelly K Hunt, Khandan Keyomarsi

Faculty, Staff and Student Publications

Treatment strategies with a strong scientific rationale based on specific biomarkers are needed to improve outcomes in patients with advanced sarcomas. Suppression of cell-cycle progression through reactivation of the tumor suppressor retinoblastoma (Rb) using CDK4/6 inhibitors is a potential avenue for novel targeted therapies in sarcomas that harbor intact Rb signaling. Here, we evaluated combination treatment strategies (sequential and concomitant) with the CDK4/6 inhibitor abemacicib to identify optimal combination strategies. Expression of Rb was examined in 1,043 sarcoma tumor specimens, and 50% were found to be Rb-positive. Using in vitro and in vivo models, an effective two-step sequential combination strategy …

Genetic Architecture Of Spatial Electrical Biomarkers For Cardiac Arrhythmia And Relationship With Cardiovascular Disease, William J Young, Jeffrey Haessler, Jan-Walter Benjamins, Linda Repetto, Jie Yao, Aaron Isaacs, Andrew R Harper, Julia Ramirez, Sophie Garnier, Stefan Van Duijvenboden, Antoine R Baldassari, Maria Pina Concas, Thuyvy Duong, Luisa Foco, Jonas L Isaksen, Hao Mei, Raymond Noordam, Casia Nursyifa, Anne Richmond, Meddly L Santolalla, Colleen M Sitlani, Negin Soroush, Sébastien Thériault, Stella Trompet, Stefanie Aeschbacher, Fariba Ahmadizar, Alvaro Alonso, Jennifer A Brody, Archie Campbell, Adolfo Correa, Dawood Darbar, Antonio De Luca, Jean-François Deleuze, Christina Ellervik, Christian Fuchsberger, Anuj Goel, Christopher Grace, Xiuqing Guo, Torben Hansen, Susan R Heckbert, Rebecca D Jackson, Jan A Kors, Maria Fernanda Lima-Costa, Allan Linneberg, Peter W Macfarlane, Alanna C Morrison, Pau Navarro, David J Porteous, Peter P Pramstaller, Alexander P Reiner, Lorenz Risch, Ulrich Schotten, Xia Shen, Gianfranco Sinagra, Elsayed Z Soliman, Monika Stoll, Eduardo Tarazona-Santos, Andrew Tinker, Katerina Trajanoska, Eric Villard, Helen R Warren, Eric A Whitsel, Kerri L Wiggins, Dan E Arking, Christy L Avery, David Conen, Giorgia Girotto, Niels Grarup, Caroline Hayward, J Wouter Jukema, Dennis O Mook-Kanamori, Morten Salling Olesen, Sandosh Padmanabhan, Bruce M Psaty, Cristian Pattaro, Antonio Luiz P Ribeiro, Jerome I Rotter, Bruno H Stricker, Pim Van Der Harst, Cornelia M Van Duijn, Niek Verweij, James G Wilson, Michele Orini, Philippe Charron, Hugh Watkins, Charles Kooperberg, Henry J Lin, James F Wilson, Jørgen K Kanters, Nona Sotoodehnia, Borbala Mifsud, Pier D Lambiase, Larisa G Tereshchenko, Patricia B Munroe

Faculty, Staff and Student Publications

The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic …

Towards A Biomarker For Acute Arterial Thrombosis Using Complete Blood Count And White Blood Cell Differential Parameters In Mice, Hee Jeong Jang, Dawid Schellingerhout, Jiwon Kim, Jinyong Chung, Dong-Eog Kim

Faculty, Staff and Student Publications

There is no blood biomarker diagnostic of arterial thrombosis. We investigated if arterial thrombosis per se was associated with alterations in complete blood count (CBC) and white blood cell (WBC) differential count in mice. Twelve-week-old C57Bl/6 mice were used for FeCl3-mediated carotid thrombosis (n = 72), sham-operation (n = 79), or non-operation (n = 26). Monocyte count (/µL) at 30-min after thrombosis (median 160 [interquartile range 140-280]) was ~ 1.3-fold higher than at 30-min after sham-operation (120 [77.5-170]), and twofold higher than in non-operated mice (80 [47.5-92.5]). At day-1 and -4 post-thrombosis, compared with 30-min, monocyte count decreased by about …

Phenotypic Plasticity In Circulating Tumor Cells Is Associated With Poor Response To Therapy In Metastatic Breast Cancer Patients, Evan N Cohen, Gitanjali Jayachandran, Hui Gao, Phillip Peabody, Heather B Mcbride, Franklin D Alvarez, Megumi Kai, Juhee Song, Yu Shen, Jie S Willey, Bora Lim, Vicente Valero, Naoto T Ueno, James M Reuben

Faculty, Staff and Student Publications

Circulating tumor cells (CTCs) are indicators of metastatic spread and progression. In a longitudinal, single-center trial of patients with metastatic breast cancer starting a new line of treatment, a microcavity array was used to enrich CTCs from 184 patients at up to 9 timepoints at 3-month intervals. CTCs were analyzed in parallel samples from the same blood draw by imaging and by gene expression profiling to capture CTC phenotypic plasticity. Enumeration of CTCs by image analysis relying primarily on epithelial markers from samples obtained before therapy or at 3-month follow-up identified the patients at the highest risk of progression. CTC …

Combining Targeted Dna Repair Inhibition And Immune-Oncology Approaches For Enhanced Tumor Control, Kyle Concannon, Benjamin B Morris, Carl M Gay, Lauren A Byers

Faculty, Staff and Student Publications

Targeted therapy and immunotherapy have revolutionized cancer treatment. However, the ability of cancer to evade the immune system remains a major barrier for effective treatment. Related to this, several targeted DNA-damage response inhibitors (DDRis) are being tested in the clinic and have been shown to potentiate anti-tumor immune responses. Seminal studies have shown that these agents are highly effective in a pan-cancer class of tumors with genetic defects in key DNA repair genes such as BRCA1/2, BRCA-related genes, ataxia telangiectasia mutated (ATM), and others. Here, we review the molecular consequences of targeted DDR inhibition, from tumor cell death to increased …

Effects Of Protein-Coding Variants On Blood Metabolite Measurements And Clinical Biomarkers In The Uk Biobank, Abhishek Nag, Ryan S Dhindsa, Lawrence Middleton, Xiao Jiang, Dimitrios Vitsios, Eleanor Wigmore, Erik L Allman, Anna Reznichenko, Keren Carss, Katherine R Smith, Quanli Wang, Benjamin Challis, Dirk S Paul, Andrew R Harper, Slavé Petrovski

Faculty, Staff and Students Publications

Genome-wide association studies (GWASs) have established the contribution of common and low-frequency variants to metabolic blood measurements in the UK Biobank (UKB). To complement existing GWAS findings, we assessed the contribution of rare protein-coding variants in relation to 355 metabolic blood measurements-including 325 predominantly lipid-related nuclear magnetic resonance (NMR)-derived blood metabolite measurements (Nightingale Health Plc) and 30 clinical blood biomarkers-using 412,393 exome sequences from four genetically diverse ancestries in the UKB. Gene-level collapsing analyses were conducted to evaluate a diverse range of rare-variant architectures for the metabolic blood measurements. Altogether, we identified significant associations (p < 1 × 10

Ideal Cardiovascular Health, Biomarkers, And Coronary Artery Disease In Persons With Hiv, Pamela S Douglas, Sara Mccallum, Michael T Lu, Triin Umbleja, Kathleen V Fitch, Borek Foldyna, Markella V Zanni, Evelynne S Fulda, Gerald S Bloomfield, Carl J Fichtenbaum, Edgar T Overton, Judith A Aberg, Carlos D Malvestutto, Tricia H Burdo, Roberto C Arduino, Ken S Ho, Michael T Yin, Heather J Ribaudo, Steven K Grinspoon

Faculty, Staff and Student Publications

OBJECTIVE: To investigate relationships between Life's Simple 7 (LS7), an assessment of cardiovascular health (CVH), and coronary plaque among people with HIV (PWH).

DESIGN: Cross-sectional.

METHODS: Coronary computed tomography angiography, immune/inflammatory biomarkers, and characterization of LS7 were collected among a subset of ART-treated PWH enrolled in REPRIEVE, a primary prevention trial. Analyses adjusted for cardiovascular disease risk (ASCVD score).

RESULTS: Median age of the 735 participants was 51(±6) years, 16% female, and median (Q1-Q3) CVD risk was 4.5% (2.6-6.9). Forty percent had poor (≤2 ideal components), 51% had intermediate (three or four ideal components), and only 9% had ideal CVH …

Serum Bile Acids As A Prognostic Biomarker In Biliary Atresia Following Kasai Portoenterostomy, Sanjiv Harpavat, Kieran Hawthorne, Kenneth D R Setchell, Monica Narvaez Rivas, Lisa Henn, Charlotte A Beil, Saul J Karpen, Vicky L Ng, Estella M Alonso, Jorge A Bezerra, Stephen L Guthery, Simon Horslen, Kathy M Loomes, Patrick Mckiernan, John C Magee, Robert M Merion, Jean P Molleston, Philip Rosenthal, Richard J Thompson, Kasper S Wang, Ronald J Sokol, Benjamin L Shneider, Childhood Liver Disease Research Network (Children)

Faculty, Staff and Students Publications

BACKGROUND AND AIMS: In biliary atresia, serum bilirubin is commonly used to predict outcomes after Kasai portoenterostomy (KP). Infants with persistently high levels invariably need liver transplant, but those achieving normalized levels have a less certain disease course. We hypothesized that serum bile acid levels could help predict outcomes in the latter group.

APPROACH AND RESULTS: Participants with biliary atresia from the Childhood Liver Disease Research Network were included if they had normalized bilirubin levels 6 months after KP and stored serum samples from the 6-month post-KP clinic visit ( n = 137). Bile acids were measured from the stored …

Association Of Long-Term Change In N-Terminal Pro-B-Type Natriuretic Peptide With Incident Heart Failure And Death, Xiaoming Jia, Mahmoud Al Rifai, Ron Hoogeveen, Justin B Echouffo-Tcheugui, Amil M Shah, Chiadi E Ndumele, Salim S Virani, Biykem Bozkurt, Elizabeth Selvin, Christie M Ballantyne, Vijay Nambi

Faculty, Staff and Students Publications

IMPORTANCE: Most studies, especially in primary prevention patients, have evaluated N-terminal B-type natriuretic peptide (NT-proBNP) at one time point. Evaluation of change in NT-proBNP may improve risk stratification for incident cardiovascular events.

OBJECTIVE: To assess the association between change in NT-proBNP and risk for incident heart failure (HF) and death.

DESIGN, SETTING, AND PARTICIPANTS: Participants were recruited from 4 US communities enrolled in the Atherosclerosis Risk in Community (ARIC) study. Individuals who attended ARIC visits 2 and 4 (approximately 6 years apart) with measurements of NT-proBNP and without prevalent HF were included. Assays of NT-proBNP were conducted between 2011 and …

Metabolomic Markers Of Ultra-Processed Food And Incident Ckd, Donghan Su, Jingsha Chen, Shutong Du, Hyunju Kim, Bing Yu, Kari E Wong, Eric Boerwinkle, Casey M Rebholz

Faculty, Staff and Student Publications

BACKGROUND: High ultra-processed food consumption is associated with higher risk of CKD. However, there is no biomarker for ultra-processed food, and the mechanism through which ultra-processed food is associated with CKD is not clear. Metabolomics can provide objective biomarkers of ultra-processed food and provide important insights into the mechanisms by which ultra-processed food is associated with risk of incident CKD. Our objective was to identify serum metabolites associated with ultra-processed food consumption and investigate whether ultra-processed food-associated metabolites are prospectively associated with incident CKD.

METHODS: We used data from 3751 Black and White men and women (aged 45-64 years) in …

Role Of Biomarkers (Sflt-1/Plgf) In Cases Of Covid-19 For Distinguishing Preeclampsia And Guiding Clinical Management, Guilherme M Nobrega, Jose P Guida, Juliana M Novaes, Larissa M Solda, Luciana Pietro, Adriana G Luz, Giuliane J Lajos, Carolina C Ribeiro-Do-Valle, Renato T Souza, Jose G Cecatti, Indira U Mysorekar, Tabata Z Dias, Maria Laura Costa

Faculty, Staff and Students Publications

OBJECTIVES: To analyze soluble fms-like tyrosine kinase 1 (sFlt-1) and placental growth factors (PlGF) concentrations and their ratio in pregnant and postpartum women with suspected COVID-19, and further investigate conditions associated with an increased ratio (sFlt-1/PlGF > 38), including preeclampsia (PE) and severe acute respiratory syndrome (SARS).

STUDY DESIGN: The present study is a secondary analysis of a prospective cohort. Blood samples were collected at time of COVID-19 investigation and the serum measurements of sFlt-1 and PlGF were performed. Clinical background, SARS-CoV-2 infection characteristics, maternal and perinatal outcomes were further analyzed.

MAIN OUTCOME MEASURES: Serum measurements of sFlt-1 and PlGF; obstetrics …