Biomedical Informatics Commons^™

Systematic Review And Meta-Analysis Of Acupuncture For Modulation Of Immune And Inflammatory Markers In Cancer Patients, Wenli Liu, Baisong Zhong, Richard W Wagner, M Kay Garcia, Jennifer L Mcquade, Wen Huang, Yisheng Li, Graciela M Nogueras Gonzalez, Michael R Spano, Alessandro Cohen, Yimin Geng, Lorenzo Cohen

Faculty, Staff and Student Publications

Introduction: Inflammation is associated with tumor initiation, and existing tumors are associated with immune suppression locally and systemically. Cancer treatment is also associated with immune suppression. This review evaluates evidence related to the use of acupuncture for modulation of inflammation and the immune system in cancer patients.

Methods: Nine databases were searched for prospective, randomized, controlled trials evaluating the use of acupuncture for modulation of the immune system in cancer patients through March 2024. Only studies involving needle insertion into acupuncture points were included. No language limitations were applied. Studies were assessed for risk of bias (ROB) according to Cochrane …

Commitment Complex Splicing Factors In Cancers Of The Gastrointestinal Tract-An In Silico Study, Yun Zhang, Alexandria Carrasquillo Simko, Uzondu Okoro, Deja Jamese Sibert, Jin Hyung Moon, Bin Liu, Angabin Matin

Faculty, Staff and Student Publications

The initial step in pre-mRNA splicing involves formation of a spliceosome commitment complex (CC) or E-complex by factors that serve to bind and mark the exon-intron boundaries that will undergo splicing. The CC component U1 snRNP assembles at the 5'-splice site (ss), whereas SF1, U2AF2, and U2AF1 define the 3'-ss of the intron. A PRP40 protein bridges U1 snRNP with factors at the 3'-ss. To determine how defects in CC components impact cancers, we analyzed human gastrointestinal (GI) cancer patient tissue and clinical data from cBioPortal. cBioPortal datasets were analyzed for CC factor alterations and patient outcomes in GI cancers …

Pancreatic Cancer Action Network's Spark: A Cloud-Based Patient Health Data And Analytics Platform For Pancreatic Cancer, Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack Digiovanna, Bruce Press, Satty Chandrashekhar, Eric Collisson, Karen Y Cui, Anirban Maitra, Paul A Rejto, Kevin P White, Lynn Matrisian, Sudheer Doss

Faculty, Staff and Student Publications

Purpose: Pancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. Thus, continued research efforts to better understand the clinical and molecular underpinnings of pancreatic cancer are critical to developing both early detection methodologies as well as improved therapeutic options. This study introduces Pancreatic Cancer Action Network's (PanCAN's) SPARK, a cloud-based data and analytics platform that integrates patient health data from the PanCAN's research initiatives and aims to accelerate pancreatic cancer research by making real-world patient health data and analysis tools …

Harnessing Endoscopic Ultrasound-Guided Radiofrequency Ablation To Reshape The Pancreatic Ductal Adenocarcinoma Microenvironment And Elicit Systemic Immunomodulation, Vishali Moond, Bhumi Maniyar, Prateek Suresh Harne, Jennifer M Bailey-Lundberg, Nirav C Thosani

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is characterized by poor prognostics and substantial therapeutic challenges, with dismal survival rates. Tumor resistance in PDAC is primarily attributed to its fibrotic, hypoxic, and immune-suppressive tumor microenvironment (TME). Endoscopic ultrasound-guided radiofrequency ablation (EUS-RFA), an Food and Drug Administration (FDA)-approved minimally invasive technique for treating pancreatic cancer, disrupts tumors with heat and induces coagulative necrosis, releasing tumor antigens that may trigger a systemic immune response-the abscopal effect. We aim to elucidate the roles of EUS-RFA-mediated thermal and mechanical stress in enhancing anti-tumor immunity in PDAC. A comprehensive literature review focused on radiofrequency immunomodulation and immunotherapy in …

Individual Ingredients Of Np-101 (Thymoquinone Formula) Inhibit Sars-Cov-2 Pseudovirus Infection, Abdelrahim Maen, Betul Gok Yavuz, Yehia I Mohamed, Abdullah Esmail, Jianming Lu, Amr Mohamed, Asfar S Azmi, Mohamed Kaseb, Osama Kasseb, Dan Li, Michelle Gocio, Mehmet Kocak, Abdelhafez Selim, Qing Ma, Ahmed O Kaseb

Faculty, Staff and Student Publications

Thymoquinone TQ, an active ingredient of Nigella Sativa, has been shown to inhibit COVID-19 symptoms in clinical trials. Thymoquinone Formulation (TQF or NP-101) is developed as a novel enteric-coated medication derivative from Nigella Sativa. TQF consists of TQ with a favorable concentration and fatty acids, including palmitic, oleic, and linoleic acids. In this study, we aimed to investigate the roles of individual ingredients of TQF on infection of SARS-CoV-2 variants

Effects Of Huoxue Qufeng Decoction Combined With Tongguan Liquefying Acupoint Penetration Therapy On Swallowing Function And Quality Of Life In Patients With Ischemic Stroke, Xuzhong Liang, Li Ma, Lixia Zhang, Dongnian Yang, Lanrui Zeng

Faculty, Staff and Student Publications

Objective: To analyze the effects of Huoxue Qufeng Decoction combined with Tongguan Liquefying Acupoint Penetration therapy on swallowing function and quality of life in patients with ischemic stroke.

Methods: A total of 145 patients with post-stroke dysphagia admitted to Dingxi People's Hospital from January 2019 to May 2022 were selected with 65 patients in the control group and 80 patients in the observation group. The control group received Huoxue Qufeng Decoction alone, while the observation group received additional Tongguan Liquefying Acupoint Penetration therapy. Clinical efficacy, NIH Stroke Scale (NIHSS) score, Water Swallow Test, Swallowing Function Assessment (SSA) score, MD Anderson …

Leptomeningeal Disease In Melanoma: An Update On The Developments In Pathophysiology And Clinical Care, Inna Smalley, Adrienne Boire, Priscilla Brastianos, Harriet M Kluger, Eva Hernando-Monge, Peter A Forsyth, Kamran A Ahmed, Keiran S M Smalley, Sherise Ferguson, Michael A Davies, Isabella C Glitza Oliva

Faculty, Staff and Student Publications

Leptomeningeal disease (LMD) remains a major challenge in the clinical management of metastatic melanoma patients. Outcomes for patient remain poor, and patients with LMD continue to be excluded from almost all clinical trials. However, recent trials have demonstrated the feasibility of conducting prospective clinical trials in these patients. Further, new insights into the pathophysiology of LMD are identifying rational new therapeutic strategies. Here we present recent advances in the understanding of, and treatment options for, LMD from metastatic melanoma. We also annotate key areas of future focus to accelerate progress for this challenging but emerging field.

Myeloid Lineage Switch In Kmt2a- Rearranged Acute Lymphoblastic Leukemia Treated With Lymphoid Lineagedirected Therapies, Alex Bataller, Tareq Abuasab, David Mccall, Wei Wang, Branko Cuglievan, Ghayas C Issa, Elias Jabbour, Nicholas Short, Courtney D Dinardo, Guilin Tang, Guillermo Garcia-Manero, Hagop M Kantarjian, Koji Sasaki

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain

Faculty, Staff and Student Publications

No abstract provided.

Spatial Multiplexing And Omics, Julienne L Carstens, Santhoshi N Krishnan, Arvind Rao, Anna G Sorace, Erin H Seeley, Sammy Ferri-Borgogno, Jared K Burks

Faculty, Staff and Student Publications

Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, …

Weak Supervision, Strong Results: Achieving High Performance In Intracranial Hemorrhage Detection With Fewer Annotation Labels, Kareem A Wahid, David Fuentes

Faculty, Staff and Student Publications

No abstract provided.

The Impact Of Psychological Strengths On Veteran Populations' Mental Health Trajectories During The Covid-19 Pandemic, Amanda Mccleery, Jonathan K Wynn, Derek M Novacek, Eric A Reavis, Damla Senturk, Catherine A Sugar, Jack Tsai, Michael F Green

Faculty, Staff and Student Publications

Purpose: Mental health trajectories during the COVID-19 pandemic have been examined in Veterans with tenuous social connections, i.e., those with recent homelessness (RHV) or a psychotic disorder (PSY), and in control Veterans (CTL). We test potential moderating effects on these trajectories by psychological factors that may help individuals weather the socio-emotional challenges associated with the pandemic (i.e., 'psychological strengths').

Methods: We assessed 81 PSY, 76 RHV, and 74 CTL over 5 periods between 05/2020 and 07/2021. Mental health outcomes (i.e., symptoms of depression, anxiety, contamination concerns, loneliness) were assessed at each period, and psychological strengths (i.e., a composite score based …

Fueling Cardiac Myocyte Proliferation, Manisha Deogharia, Priyatansh Gurha

Faculty, Staff and Student Publications

No abstract provided.

Metformin In Conjunction With Stereotactic Radiotherapy For Early-Stage Non-Small Cell Lung Cancer: Long-Term Results Of A Prospective Phase Ii Clinical Trial, Molly K Tate, Mike Hernandez, Joe Y Chang, Steven H Lin, Zhongxing Liao, Suja M Koshy, Heath D Skinner, Stephen G Chun

Faculty, Staff and Student Publications

Background/aim: Non-small cell lung cancer (NSCLC) is increasingly detected in early stages and there is interest in improving outcomes with stereotactic body radiotherapy (SBRT). As metformin affects NSCLC signaling pathways, it might alter the metabolism of NSCLC treated with SBRT. This study investigated the long-term outcomes of a phase II clinical trial evaluating metformin in conjunction with SBRT for early-stage NSCLC.

Patients and methods: The trial evaluated patients with American Joint Commission on Cancer (AJCC) 7th edition Stage I-II, cT1-T2N0M0 NSCLC who were randomized 6:1 to receive metformin versus placebo in conjunction with SBRT. The outcomes analyzed included local failure …

Predicting Suicidality In Late-Life Depression By 3d Convolutional Neural Network And Cross-Sample Entropy Analysis Of Resting-State Fmri, Chemin Lin, Chih-Mao Huang, Wei Chang, You-Xun Chang, Ho-Ling Liu, Shu-Hang Ng, Huang-Li Lin, Tatia Mei-Chun Lee, Shwu-Hua Lee, Shun-Chi Wu

Faculty, Staff and Student Publications

Background: Predicting suicide is a pressing issue among older adults; however, predicting its risk is difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in predicting complex behavior such as suicide. As depression remained the strongest risk for suicide, we aimed to apply deep learning algorithms to identify suicidality in a group with late-life depression (LLD).

Methods: We enrolled 83 patients with LLD, 35 of which were non-suicidal and 48 were suicidal, including 26 with only suicidal ideation and 22 with past suicide attempts, for resting-state functional magnetic resonance imaging (MRI). Cross-sample entropy (CSE) analysis …

A Milestone In Epithelial-Mesenchymal Transition, Yutong Sun, Li Ma

Faculty, Staff and Student Publications

No abstract provided.

A Reinforcement Learning (Rl)-Motivated Simulation Framework For Evaluating Vancomycin Dosing Strategies, Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi

Faculty, Staff and Student Publications

Achieving and maintaining the therapeutic range in vancomycin treatment is important for optimal outcomes. While guidelines and best practices based on empirical studies exist, the theoretical best dosing strategies under various conditions remain illusive. We developed an RL-based simulation framework using a deep learning two-compartment pharmacokinetic model (PK-RNN-2CM) and introduced the area under the time-concentration curve (AUC) reward score, which translates clinical guidelines into an RL reward. Ground truth time-concentration curves were generated from patient-specific data, and simulated curves were produced under different dosing strategies with optional noise perturbations to mimic real-world settings. Evaluation metrics included 24-hour AUC assessments and …

Large T Antigen Mediated Target Gene Replication Improves Site-Specific Recombination Efficiency, Zening Wang, Chuan Chen, Xin Ge

Faculty, Staff and Student Publications

With advantages of high-fidelity, monoclonality and large cargo capacity, site-specific recombination (SSR) holds great promises for precise genomic modifications. However, broad applications of SSR have been hurdled by low integration efficiency, and the amount of donor DNA available in nucleus for SSR presents as a limiting factor. Inspired by the DNA replication mechanisms observed in double-stranded DNA virus SV40, we hypothesized that expression of SV40 large T antigen (TAg) can increase the copy number of the donor plasmid bearing an SV40 origin, and in consequence promote recombination events. This hypothesis was tested with dual recombinase-mediated cassette exchange (RMCE) in suspension …

Generation Of Protease Inhibitory Antibodies By Functional In Vivo Selection, Ki Baek Lee, Xin Ge

Faculty, Staff and Student Publications

Targeting dysregulated protease expression and/or abnormal substrate proteolysis, highly selective inhibition of pathogenic proteases by monoclonal antibodies (mAbs) presents an attractive therapeutic approach for the treatment of diseases including cancer. Herein, we report a functional selection method for protease inhibitory mAbs by periplasmic co-expression of three recombinant proteins-a protease of interest, an antibody Fab library, and a modified β-lactamase TEM-1. We validate this approach by isolation of highly selective and potent mAbs inhibiting human matrix metalloproteinase 9 (MMP9).

One-Step Production Of Fully Biotinylated And Glycosylated Human Fc Gamma Receptors, Minhyo Kang, Zening Wang, Xin Ge

Faculty, Staff and Student Publications

Initiating and regulating humoral immunity, Fc gamma receptors (FcγRs) have been identified both as therapeutics and as drug targets, and thus production of biologically active FcγRs is highly demanded for biopharmaceutical development. Focusing on low-affinity FcγRs IIA (131H/R allotypes), IIB, and IIIA (176F/V), this study used human 293-F cells to achieve correct post-translational modifications (PTMs) including biotinylation, N-glycosylation, and disulfides. Approaches involving co-expression of FcγR-AviTag and Escherichia coli biotin ligase BirA, endoplasmic reticulum retention, stable and transient transfections, and optimization of transgene ratio were investigated. Protein electrophoresis under reducing and non-reducing conditions, enzymatic deglycosylation, streptavidin pull-down assays, and binding kinetic …

Advancements In Varicose Vein Treatment: Anatomy, Pathophysiology, Minimally Invasive Techniques, Sclerotherapy, Patient Satisfaction, And Future Directions, Faris Fayyaz, Viralkumar Vaghani, Chukwuyem Ekhator, Muhammad Abdullah, Rashed A Alsubari, Omar A Daher, Danyal Bakht, Hanen Batat, Hareem Arif, Sophia B Bellegarde, Pakeezah Bisharat, Muhayya Faizullah

Faculty, Staff and Student Publications

Varicose veins are a common vascular condition known for causing discomfort and cosmetic concerns. This comprehensive narrative review delves into their anatomy, pathophysiology, and modern treatment options, with a focus on endovenous techniques and sclerotherapy. The review starts by emphasizing the intricate anatomy of lower extremity venous circulation, underlining the significance of both superficial and deep venous networks in venous return. It also addresses how changes in the venous wall, including valvular insufficiency, contribute to the development of varicose veins. Endovenous techniques like endovenous laser ablation (EVLA), radiofrequency ablation (RFA), and mechanochemical endovenous ablation (MOCA) are explored in detail. These …

Atypical Presentation Of Psoriasis On The Breast Of An Elderly Woman: A Case Report, Susuana Adjei, Mohamad R Taha, Anisha B Patel, Stephen K Tyring

Faculty, Staff and Student Publications

Psoriasis is a chronic, inflammatory skin disease that affects over 60 million adults and children globally. It is classically characterized by pink plaques covered with silver scales on the extensor surfaces, trunk, or scalp. In this report, we describe the case of a woman in her late 60s with psoriasis presenting as a painful plaque on her left breast. This case highlights the importance of considering psoriasis as a differential diagnosis in patients with unilateral breast plaques, even in the absence of typical psoriasis scaling elsewhere on the body.

Correction: Preclinical Development Of 1b7/Cd3, A Novel Anti-Tslpr Bispecific Antibody That Targets Crlf2-Rearranged Ph-Like B-All, Ze Tian, Chunhua Shi, Guojun Yang, Jason K Allen, Qing Shi, Amin Al-Shami, Jill Wardell Olson, Melinda G Smith, Qing Chang, Jasbir Kaur, Junping You, Timothy E Lofton, Michelle A Gonzalez, Qi Zhang, Dongxing Zha, Sarah K Tasian, Nitin Jain, Marina Y Konopleva, Timothy Heffernan, Jeffrey J Molldrem

Faculty, Staff and Student Publications

No abstract provided.

Real-World Analysis Of Safety And Efficacy Of Car T-Cell Therapy In Lymphoma Patients With Decreased Kidney Function, Omar Mamlouk, Paolo Strati, Lei Feng, Ryan Sun, Amy Ayers, Raphael E Steiner, Ranjit Nair, Christopher Flowers, Jeremy L Ramdial, Neeraj Saini, Samer A Srour, Richard E Champlin, Partow Kebriaei, Loretta J Nastoupil, Maria A Rodriguez, Elizabeth J Shpall, Yago Nieto, Jason Westin, Sattva S Neelapu, Sreedhar Mandayam, Sairah Ahmed

Faculty, Staff and Student Publications

No abstract provided.

Multicenter Randomized Controlled Trial Of Exercise In Aortic Dissection Survivors: Rationale, Design, And Initial Hemodynamic Data, Yasmin A Toy, Kayla N House, Leslie M Boyer, Jennifer L Mcnamara, Marion A Hofmann-Bowman, Kim A Eagle, Michelle S Lim, Alan C Braverman, Siddharth K Prakash

Faculty, Staff and Student Publications

Aims: There are currently no evidence-based guidelines for exercise after thoracic aortic dissection (TAD), leading to highly variable recommendations that frequently lead patients to restrict their physical activities. This multicenter randomized controlled trial was intended to evaluate the safety and efficacy of a moderate intensity guided exercise program for TAD survivors.

Methods: Participants were eligible if they had a Type A or Type B dissection at least 90 days before enrollment and could attend two in-person study visits. The guided exercise circuit consisted of six aerobic, isotonic, or isometric exercises that participants continued at home with virtual follow-up sessions. The …

Epigallocatechin Gallate Regulates The Myeloid-Specific Transcription Factor Pu1 In Macrophages, Manjula Karpurapu, Kavita Kumari Kakarala, Sangwoon Chung, Yunjuan Nie, Amritendu Koley, Patrick Dougherty, John W Christman

Faculty, Staff and Student Publications

Our previous research demonstrated that PU.1 regulates expression of the genes involved in inflammation in macrophages. Selective knockdown of PU.1 in macrophages ameliorated LPS-induced acute lung injury (ALI) in bone marrow chimera mice. Inhibitors that block the transcriptional activity of PU.1 in macrophages have the potential to mitigate the pathophysiology of LPS-induced ALI. However, complete inactivation of PU.1 gene disrupts normal myelopoiesis. Although the green tea polyphenol Epigallocatechin gallate (EGCG) has been shown to regulate inflammatory genes in various cell types, it is not known if EGCG alters the transcriptional activity of PU.1 protein. Using Schrodinger Glide docking, we have …

Federated Multiple Imputation For Variables That Are Missing Not At Random In Distributed Electronic Health Records, Yi Lian, Xiaoqian Jiang, Qi Long

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Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on data-sharing due to privacy concerns have been another driving force behind the development of a large class of distributed and/or federated machine learning methods. While missing data problem is also present in distributed EHRs, albeit potentially more complex, distributed multiple imputation (MI) methods have not received as much attention. An important advantage of distributed MI, as well as distributed analysis, is that it allows researchers to …

Suppression Of Il-1Β Promotes Beneficial Accumulation Of Fibroblast-Like Cells In Atherosclerotic Plaques In Clonal Hematopoiesis, Trevor P Fidler, Andrew Dunbar, Eunyoung Kim, Brian Hardaway, Jessica Pauli, Chenyi Xue, Sandra Abramowicz, Tong Xiao, Kavi O'Connor, Nadja Sachs, Nan Wang, Lars Maegdefessel, Ross Levine, Muredach Reilly, Alan R Tall

Faculty, Staff and Student Publications

Clonal hematopoiesis (CH) is an independent risk factor for atherosclerotic cardiovascular disease. Murine models of CH suggest a central role of inflammasomes and IL-1β in accelerated atherosclerosis and plaque destabilization. Here we show using single-cell RNA sequencing in human carotid plaques that inflammasome components are enriched in macrophages, while the receptor for IL-1β is enriched in fibroblasts and smooth muscle cells (SMCs). To address the role of inflammatory crosstalk in features of plaque destabilization, we conducted SMC fate mapping in Ldlr-/- mice modeling Jak2VF or Tet2 CH treated with IL-1β antibodies. Unexpectedly, this treatment minimally affected SMC differentiation, …

Microbiota Restoration Therapies For Recurrent Clostridioides Difficile Infection Reach An Important New Milestone, Herbert L Dupont, Andrew W Dupont, Glenn S Tillotson

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Microbiota restoration therapy has become a standard treatment for recurrent Clostridioides difficile infection (rCDI). In this article, we review the studies supporting the licensure of two live biotherapeutic products (LBPs) designed to prevent rCDI and to provide clinicians with a perspective on their differences. PubMed was reviewed on 1 October 2023, for all papers published concerning the current Food and Drug Administration allowance of the use of fecal microbiota transplantation (FMT) and the studies that led to the licensure of RBX2660 (REBYOTA™), generic name, fecal microbiota, live-jslm, and SER-109 (VOWST™), generic name, fecal microbiota spores, live-brpk. OpenBiome continues to produce …

Large Language Models Struggle In Token-Level Clinical Named Entity Recognition, Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu

Faculty, Staff and Student Publications

Large Language Models (LLMs) have revolutionized various sectors, including healthcare where they are employed in diverse applications. Their utility is particularly significant in the context of rare diseases, where data scarcity, complexity, and specificity pose considerable challenges. In the clinical domain, Named Entity Recognition (NER) stands out as an essential task and it plays a crucial role in extracting relevant information from clinical texts. Despite the promise of LLMs, current research mostly concentrates on document-level NER, identifying entities in a more general context across entire documents, without extracting their precise location. Additionally, efforts have been directed towards adapting ChatGPTfor token-level …