Digital Commons Network^™

Split Learning For Distributed Collaborative Training Of Deep Learning Models In Health Informatics, Zhuohang Li, Chao Yan, Xinmeng Zhang, Gharib Gharibi, Zhijun Yin, Xiaoqian Jiang, Bradley A Malin

Faculty, Staff and Student Publications

Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generalize across healthcare organizations is challenging. This is due, in part, to the inherent siloed nature of these organizations and patient privacy requirements. To address this problem, we illustrate how split learning can enable collaborative training of deep learning models across disparate and privately maintained health datasets, while keeping the original records and model parameters private. We introduce a new privacy-preserving distributed learning framework that offers a higher level of privacy compared to conventional federated learning. We …

Integrating Comorbidity Knowledge For Alzheimer's Disease Drug Repurposing Using Multi-Task Graph Neural Network, Ko-Hong Lin, Kang-Lin Hsieh, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Alzheimer's Disease (AD) is a multifactorial disease that shares common etiologies with its multiple comorbidities, especially vascular diseases. To predict repurposable drugs for AD utilizing the relatively well-investigated comorbidities' knowledge, we proposed a multi-task graph neural network (GNN)-based pipeline that incorporates the corresponding biomedical interactome of these diseases with their genetic markers and effective therapeutics. Our pipeline can accurately capture the interactions and disease classification in the network. Next, we predicted drugs that might interact with the AD module by the node embedding similarity. Our candidates are mostly BBB permeable, and literature evidence showed their potential for treating AD pathologies, …

Local Contrastive Learning For Medical Image Recognition, Syed A Rizvi, Ruixiang Tang, Xiaoqian Jiang, Xiaotian Ma, Xia Hu

Faculty, Staff and Student Publications

The proliferation of Deep Learning (DL)-based methods for radiographic image analysis has created a great demand for expert-labeled radiology data. Recent self-supervised frameworks have alleviated the need for expert labeling by obtaining supervision from associated radiology reports. These frameworks, however, struggle to distinguish the subtle differences between different pathologies in medical images. Additionally, many of them do not provide interpretation between image regions and text, making it difficult for radiologists to assess model predictions. In this work, we propose Local Region Contrastive Learning (LRCLR), a flexible fine-tuning framework that adds layers for significant image region selection as well as cross-modality …

Federated Learning Based Futuristic Biomedical Big-Data Analysis And Standardization, Afifa Salsabil Fathima, Syed Muzamil Basha, Syed Thouheed Ahmed, Sandeep Kumar Mathivanan, Sukumar Rajendran, Saurav Mallik, Zhongming Zhao

Faculty, Staff and Student Publications

Medical data processing and analytics exert significant influence in furnishing dependable decision support for prospective biomedical applications. Given the sensitive nature of medical data, specialized techniques and frameworks tailored for application-centric processing are imperative. This article presents a conceptualization for the analysis and uniformitarian of datasets through the implementation of Federated Learning (FL). The realm of medical big data stems from diverse origins, necessitating the delineation of data provenance and attribute paradigms to facilitate feature extraction and dependency assessment. The architecture governing the data collection framework is intricately linked to remote data transmission, thereby engendering efficient customization oversight. The operational …

Accurate Prediction Of Functional Effect Of Single Amino Acid Variants With Deep Learning, Houssemeddine Derbel, Zhongming Zhao, Qian Liu

Faculty, Staff and Student Publications

The assessment of functional effect of amino acid variants is a critical biological problem in proteomics for clinical medicine and protein engineering. Although natively occurring variants offer insights into deleterious variants, high-throughput deep mutational experiments enable comprehensive investigation of amino acid variants for a given protein. However, these mutational experiments are too expensive to dissect millions of variants on thousands of proteins. Thus, computational approaches have been proposed, but they heavily rely on hand-crafted evolutionary conservation, limiting their accuracy. Recent advancement in transformers provides a promising solution to precisely estimate the functional effects of protein variants on high-throughput experimental data. …

Optimal Ranking And Directional Signature Classification Using The Integral Strategy Of Multi-Objective Optimization-Based Association Rule Mining Of Multi-Omics Data, Saurav Mallik, Soumita Seth, Amalendu Si, Tapas Bhadra, Zhongming Zhao

Faculty, Staff and Student Publications

No abstract provided.

3pnmf-Mkl: A Non-Negative Matrix Factorization-Based Multiple Kernel Learning Method For Multi-Modal Data Integration And Its Application To Gene Signature Detection\, Saurav Mallik, Anasua Sarkar, Sagnik Nath, Ujjwal Maulik, Supantha Das, Soumen Kumar Pati, Soumadip Ghosh, Zhongming Zhao

Faculty, Staff and Student Publications

In this current era, biomedical big data handling is a challenging task. Interestingly, the integration of multi-modal data, followed by significant feature mining (gene signature detection), becomes a daunting task. Remembering this, here, we proposed a novel framework, namely, three-factor penalized, non-negative matrix factorization-based multiple kernel learning with soft margin hinge loss (3PNMF-MKL) for multi-modal data integration, followed by gene signature detection. In brief, limma, employing the empirical Bayes statistics, was initially applied to each individual molecular profile, and the statistically significant features were extracted, which was followed by the three-factor penalized non-negative matrix factorization method used for data/matrix fusion …

Anti-Inflammatory Effects Of Vagus Nerve Stimulation In Pediatric Patients With Epilepsy, Supender Kaur, Nathan R Selden, Alejandro Aballay

Faculty, Staff and Student Publications

INTRODUCTION: The neural control of the immune system by the nervous system is critical to maintaining immune homeostasis, whose disruption may be an underlying cause of several diseases, including cancer, multiple sclerosis, rheumatoid arthritis, and Alzheimer's disease.

METHODS: Here we studied the role of vagus nerve stimulation (VNS) on gene expression in peripheral blood mononuclear cells (PBMCs). Vagus nerve stimulation is widely used as an alternative treatment for drug-resistant epilepsy. Thus, we studied the impact that VNS treatment has on PBMCs isolated from a cohort of existing patients with medically refractory epilepsy. A comparison of genome-wide changes in gene expression …

A Scientific Communication Mentoring Intervention Benefits Diverse Mentees With Language Variety Related Discomfort, Carrie A Cameron, Hwa Young Lee, Cheryl B Anderson, Erin K Dahlstrom, Shine Chang

Faculty, Staff and Student Publications

We studied social-psychological effects over time of a faculty-mentor workshop intervention that addressed attitudes associated with language variety and their impact on scientific communication (SC) skill development of PhD and postdoctoral STEM research trainees (N = 274). Six months after their mentors attended the workshop, all mentees had significant gains in productivity in speaking tasks. In particular, mentees with high language discomfort rated their quality of communication with their mentor and their enthusiasm about communicating more highly (p < .05 for both measures), compared to mentees with low language discomfort. In addition, mentees raised speaking nonstandardized varieties of English reported significant reductions in discomfort related to language use (p = .003), compared to mentees raised speaking standardized English. We conclude that training mentors to understand and respond to …

School-Based Intervention Impacts Availability Of Vegetables And Beverages In Participants’ Homes, Erin A Hudson, Marissa Burgermaster, Sophia M Isis, Matthew R Jeans, Sarvenaz Vandyousefi, Matthew J Landry, Rebecca Seguin-Fowler, Joya Chandra, Jaimie Davis

Faculty, Staff and Student Publications

As rates of metabolic syndrome rise, children consume too few vegetables and too much added sugar. Because children tend to eat what is available at home, the home environment plays a key role in shaping dietary habits. This secondary analysis evaluated the effects of a school-based gardening, cooking, and nutrition education intervention (TX Sprouts) compared to control on the availability of vegetables, fruit juice, and sugar-sweetened beverages (SSBs) at home. In the TX Sprouts cluster-randomized trial, 16 schools were randomized to TX Sprouts (

Immune Checkpoint Inhibitors In Advanced Cutaneous Squamous Cell Carcinoma: A Systemic Review And Meta-Analysis, Haoran Zhang, Ai Zhong, Junjie Chen

Faculty, Staff and Student Publications

BACKGROUND: To evaluate the immune checkpoint inhibitors (CPI) for the treatment of patients with advanced cutaneous squamous cell carcinoma (CSCC).

MATERIALS AND METHODS: A meta-analysis was conducted, and the efficacy and safety of CPI were assessed.

RESULTS: A total of 13 studies with 980 patients were included. The pooled objective response rate (ORR) and disease control rate were 47.2% and 64.4%, separately. In addition, patients with primary tumor located in head and neck (odds ratio [OR]: 0.374, 95% confidence interval [CI]: 0.219-0.640, p < 0.001) and positive expression of programmed death ligand 1 (OR: 0.364, 95% CI: 0.158-0.842, P = 0.018) had superior ORR during CPI treatment. The incidence of progression free survival at 6 and 12 months was 59.3% and 52.8%, and 80.6% and 76.4% for overall survival. As for safety, the overall incidence of adverse events with all grades and 3-4 grade was 76.9% and 20.2%.

CONCLUSIONS: Our systematic review confirmed the satisfying efficacy and acceptable toxicity of CPI for advanced CSCC.

Examining Sociodemographic Correlates Of Opioid Use, Misuse, And Use Disorders In The All Of Us Research Program, Hsueh-Han Yeh, Cathryn Peltz-Rauchman, Christine C Johnson, Pamala A Pawloski, David Chesla, Stephen C Waring, Alan B Stevens, Mara Epstein, Christine Joseph, Lisa R Miller-Matero, Hongsheng Gui, Amy Tang, Eric Boerwinkle, Mine Cicek, Cheryl R Clark, Elizabeth Cohn, Kelly Gebo, Roxana Loperena, Kelsey Mayo, Stephen Mockrin, Lucila Ohno-Machado, Sheri Schully, Andrea H Ramirez, Jun Qian, Brian K Ahmedani

Faculty, Staff and Student Publications

Background: The All of Us Research Program enrolls diverse US participants which provide a unique opportunity to better understand the problem of opioid use. This study aims to estimate the prevalence of opioid use and its association with sociodemographic characteristics from survey data and electronic health record (EHR).

Methods: A total of 214,206 participants were included in this study who competed survey modules and shared EHR data. Adjusted logistic regressions were used to explore the associations between sociodemographic characteristics and opioid use.

Results: The lifetime prevalence of street opioids was 4%, and the nonmedical use of prescription opioids was 9%. …

Editorial: Advances In Mathematical And Computational Oncology, Volume Iii, George Bebis, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie, Dinler A Antunes, Ken Chen, Jinzhuang Dou

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Women In Molecular And Cellular Oncology, Petranel T Ferrao, Laura Rosanò, Valeria Poli, Shilpa S Dhar, Ana Paula Lepique

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Women In Molecular And Cellular Oncology, Volume Ii: 2022, Shilpa S Dhar

Faculty, Staff and Student Publications

No abstract provided.

The Importance Of "When" In Calorie Restriction-Induced Lifespan Extension, Kristin Eckel-Mahan

Faculty, Staff and Student Publications

No abstract provided.

A Case Of Successful Treatment Of Recurrent Urinary Tract Infection By Extended-Spectrum Β-Lactamase Producing Klebsiella Pneumoniae Using Oral Lyophilized Fecal Microbiota Transplant, Naomi Bier, Blake Hanson, Zhi-Dong Jiang, Herbert L Dupont, Cesar A Arias, William R Miller

Faculty, Staff and Student Publications

Recurrent urinary tract infections (UTIs) are a challenging clinical entity that can be frustrating for patient and physician alike. Repeated rounds of antibiotics can select for multidrug-resistant organisms, further complicating care. We describe the successful use of fecal microbiota transplantation (FMT) for the treatment of recurrent extended-spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae UTIs in a patient with an ileal conduit and urostomy. In the 18 months after FMT, the patient had not experienced new infections with ESBL-producing organisms. The urine and stool microbiomes of the patient were tracked before and post-FMT using 16s RNA sequencing with measurement of α-diversity. Sequencing of …

Editorial: The Interplay Between Microbiota And Allergen In Shaping Respiratory Mucosa Immunity: Role In Development Of Asthma, Zhenwei Xia, Wenwei Zhong, Min Wu, Scott E Evans

Faculty, Staff and Student Publications

No abstract provided.

Targeted Genomic Sequencing Of Tsc1 And Tsc2 Reveals Causal Variants In Individuals For Whom Previous Genetic Testing For Tuberous Sclerosis Complex Was Normal, Hannah D West, Mark Nellist, Rutger W W Brouwer, Mirjam C G N Van Den Hout-Van Vroonhoven, Luiz Gustavo Dufner De Almeida, Femke Hendriks, Peter Elfferich, Meera Raja, Peter Giles, Rosa M Alfano, Angela Peron, Yves Sznajer, Liesbeth De Waele, Anna Jansen, Marije Koopmans, Anneke Kievit, Laura S Farach, Hope Northrup, Julian R Sampson, Laura E Thomas, Wilfred F J Van Ijcken

Faculty, Staff and Student Publications

Tuberous sclerosis complex (TSC) is caused by inactivating variants in TSC1 and TSC2. Somatic mosaicism, as well as the size and complexity of the TSC1 and TSC2 loci, makes variant identification challenging. Indeed, in some individuals with a clinical diagnosis of TSC, diagnostic testing fails to identify an inactivating variant. To improve TSC1 and TSC2 variant detection, we screened the TSC1 and TSC2 genomic regions using targeted HaloPlex custom capture and next-generation sequencing (NGS) in genomic DNA isolated from peripheral blood of individuals with definite, possible or suspected TSC in whom no disease-associated variant had been identified by previous …

Financial Toxicity In Cancer Patients And Subsequent Risk Of Repeat Acute Care Utilization, Julia J Shi, J Alberto Maldonado, Chi-Fang Wu, Susan K Peterson, Ying-Shiuan Chen, Kevin Diao, Robert J Volk, Sharon H Giordano, Ya-Chen T Shih, Kelsey Kaiser, Grace L Smith

Faculty, Staff and Student Publications

Background: Acute care (AC) visits by cancer patients are costly sources of healthcare resources and can exert a financial burden of oncology care both for individuals with cancer and healthcare systems. We sought to identify whether cancer patients who reported more severe initial financial toxicity (FT) burdens shouldered excess risks for acute care utilization.

Methods: In 225 adult patients who participated in the Economic Strain and Resilience in Cancer (ENRICh) survey study of individuals receiving ambulatory cancer care between March and September 2019, we measured the baseline FT (a multidimensional score of 0-10 indicating the least to most severe global, …

A Bibliometric And Visual Analysis Of Cancer-Associated Fibroblasts, Wei-Chen Yuan, Jie-Xiang Zhang, Hai-Bin Chen, Ying Yuan, Yu-Pei Zhuang, Hong-Li Zhou, Mu-Han Li, Wen-Li Qiu, Hong-Guang Zhou

Faculty, Staff and Student Publications

Background: Cancer-associated fibroblasts (CAFs) represent the predominant stromal component within the tumour microenvironment (TME), exhibiting considerable heterogeneity and plasticity that significantly impact immune response and metabolic reprogramming within the TME, thereby influencing tumour progression. Consequently, investigating CAFs is of utmost importance. The objective of this study is to employ bibliometric analysis in order to evaluate the current state of research on CAFs and predict future areas of research and emerging trends.

Methods: Conduct a comprehensive search for scholarly publications within the Web of Science Core Collection database, encompassing the time period from January 1, 2001, to December 31, 2022. Apply …

Evaluation Of The Efficacy Of The Anti-Ulcer Oral Mucosal Protective Agent Radoralex® In The Prevention And Treatment Of Radiation-Induced Oral Mucosal Reactions Induced During Treatment Of Nasopharyngeal Carcinoma, Jun Yin, Jirui Xie, Jiawei Lin, Chengyin Weng, Shun Lu, Peng Xu, Shuo Zhang, Cheng Luo, Yecai Huang, Lu Li, Jinyi Lang, Mei Feng

Faculty, Staff and Student Publications

The aim of this study was to evaluate the efficacy and safety of antiulcer oral mucosal protectant-RADoralex® in the prevention and treatment of radiation-induced oral mucosal reactions elicited during intensity-modulated radiation therapy (IMRT). for locally advanced nasopharyngeal carcinoma (NPC). A total of 90 patients with locally advanced NPC who developed post-treatment grade 1 oral mucositis were selected for this study. They were randomly assigned to the experimental group (n = 44) treated by mouth rinsing with the RADoralex® during radiochemotherapy and the control group (n = 43) treated by mouth rinsing with sodium bicarbonate solution, and the patients’ oral mucosal …

Medical Ethics Principles Underscore Advocating For Human Papillomavirus Vaccine, C Mary Healy, Lara S Savas, Ross Shegog, Rebecca Lunstroth, Sally W Vernon

Faculty, Staff and Student Publications

Studies have consistently shown that vaccination rates against human papillomavirus (HPV) lag far behind other adolescent vaccinations recommended at the same age, resulting in exposing adolescents to unnecessary future risk of infection, and genital and head and neck cancers. Studies also have demonstrated that a major barrier to vaccination is lack of a strong provider recommendation. Factors that providers offer for failing to give a strong recommendation range from perception that the child is not at risk or the need to explain that the vaccine is not mandated (lack of equity and justice) or respect for parental autonomy. We look …

Medical Ethics Principles Underscore Advocating For Human Papillomavirus Vaccine, C Mary Healy, Lara S Savas, Ross Shegog, Rebecca Lunstroth, Sally W Vernon

Faculty, Staff and Student Publications

Studies have consistently shown that vaccination rates against human papillomavirus (HPV) lag far behind other adolescent vaccinations recommended at the same age, resulting in exposing adolescents to unnecessary future risk of infection, and genital and head and neck cancers. Studies also have demonstrated that a major barrier to vaccination is lack of a strong provider recommendation. Factors that providers offer for failing to give a strong recommendation range from perception that the child is not at risk or the need to explain that the vaccine is not mandated (lack of equity and justice) or respect for parental autonomy. We look …

Influence Of Waist Circumference Measurement Site On Visceral Fat And Metabolic Risk In Youth, Sojung Lee, Yejin Kim, Minsub Han

Faculty, Staff and Student Publications

Although the rate of childhood obesity seems to have plateaued in recent years, the prevalence of obesity among children and adolescents remains high. Childhood obesity is a major public health concern as overweight and obese youth suffer from many co-morbid conditions once considered exclusive to adults. It is now well demonstrated that abdominal obesity as measured by waist circumference (WC) is an independent risk factor for cardiovascular disease and metabolic dysfunction in youth. Despite the strong associations between WC and cardiometabolic risk factors, there is no consensus regarding the optimal WC measurement sites to assess abdominal obesity and obesity-related health …

Fruit And Vegetable Shopping Behavior And Intake Among Low-Income Minority Households With Elementary-Aged Children, Brittni N Metoyer, Ru-Jye Chuang, Minjae Lee, Christine Markham, Eric Brown, Maha Almohamad, Jayna M Dave, Shreela V Sharma

Faculty, Staff and Student Publications

Low-income children and families do not meet the recommendations for fruit and vegetable (FV) intake. This study aimed to assess the association between FV shopping behavior and child FV intake through a cross-sectional study design analyzing self-reported surveys (n = 6074) from adult-child dyads of Hispanic/Latino and African American participants enrolled in the Brighter Bites co-op program. Through quantitative mixed effects linear regression models, accounting for school-level clustering and adjusting for covariates, child FV intake was positively associated with shopping for FV at large chain grocery stores (p < 0.001), natural/organic supermarkets (p < 0.001), warehouse club stores (p = 0.002), discount superstores (p < 0.001), small local stores/corner stores (p = 0.038), convenience stores (p = 0.022), ethnic markets (p = 0.002), farmers’ markets/co-op/school farm stands (p < 0.001), and gardens (p = 0.009) among Hispanic/Latinos participants. Among African American participants, there was significant positive association between child FV intake and shopping for FV at natural/organic supermarkets (p < 0.001), discount superstores (p = 0.005), and convenience stores (p = 0.031). The relationship between location and frequency of shopping for FV and child FV intake varied between races. Further research is needed to better understand the influence of cultural and physical environmental factors. Nutrition education programs are vital to encouraging families to make healthier food choices and purchases to improve child FV consumption.

Serum Concentrations Of Losartan Metabolites Correlate With Improved Physical Function In A Pilot Study Of Prefrail Older Adults, Jessica L Lee, Cissy Zhang, Reyhan Westbrook, Mariann M Gabrawy, Lolita Nidadavolu, Huanle Yang, Ruth Marx, Yuqiong Wu, Nicole M Anders, Lina Ma, Marcela-Dávalos Bichara, Min-Ji Kwak, Brian Buta, Mohammed Khadeer, Gayane Yenokyan, Jing Tian, Qian-Li Xue, Helmy M Siragy, Robert M Carey, Rafael De Cabo, Luigi Ferrucci, Ruin Moaddel, Michelle A Rudek, Anne Le, Jeremy D Walston, Peter M Abadir

Faculty, Staff and Student Publications

Losartan is an oral antihypertensive agent that is rapidly metabolized to EXP3174 (angiotensin-subtype-1-receptor blocker) and EXP3179 (peroxisome proliferator-activated receptor gamma [PPARγ] agonist), which was shown in animal studies to reduce inflammation, enhance mitochondrial energetics, and improve muscle repair and physical performance. We conducted an exploratory pilot study evaluating losartan treatment in prefrail older adults (age 70-90 years, N = 25). Participants were randomized to control (placebo) or treatment (daily oral losartan beginning at 25 mg per day and increasing every 8 weeks) for a total of 6 months. Fatigue, hyperkalemia, and hypotension were the most observed side effects of losartan …

Accelerometer-Measured Latent Physical Activity Profiles And Neurocognition Among Middle-Aged And Older Hispanic/Latino Adults In The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol)\, Priscilla M Vásquez, Wassim Tarraf, Albert Chai, Adit Doza, Daniela Sotres-Alvarez, Keith M Diaz, Zvinka Z Zlatar, Ramon A Durazo-Arvizu, Linda C Gallo, Mayra L Estrella, Elizabeth Vásquez, Kelly R Evenson, Tasneem Khambaty, Bharat Thyagarajan, Richard H Singer, Neil Schneiderman, Martha L Daviglus, Hector M González

Faculty, Staff and Student Publications

Objectives: Derive latent profiles of accelerometry-measured moderate-vigorous physical activity (MVPA) for Hispanic/Latino adults, examine associations between latent MVPA profiles and neurocognition, and describe profiles via self-reported MVPA.

Methods: Complex survey design methods were applied to cross-sectional data from 7,672 adults ages 45-74 years in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL; 2008-2011). MVPA was measured via hip-worn accelerometers. Latent profile analysis was applied to derive latent MVPA profiles (minutes/day of week). Neurocognition was assessed with the Brief-Spanish English Verbal Learning Test (B-SEVLT) Sum, B-SEVLT Recall, Controlled Oral Word Association Test (word fluency), and Digit Symbol Substitution (DSS) test. All …

Targeting Myocardial Equilibrative Nucleoside Transporter Ent1 Provides Cardioprotection By Enhancing Myeloid Adora2b Signaling, Jiaojiao Wang, Andre R Jordan, Huabin Zhu, Sarrah L Hasanali, Eric Thomas, Soum D Lokeshwar, Daley S Morera, Sung Alexander, Joseph Mcdaniels, Anuj Sharma, Karina Aguilar, Semih Sarcan, Tianyi Zhu, Mark S Soloway, Martha K Terris, Muthusamy Thangaraju, Luis E Lopez, Vinata B Lokeshwar

Faculty, Staff and Student Publications

BACKGROUND: Hyaluronic acid (HA) promotes cancer metastasis; however, the currently approved treatments do not target HA. Metastatic renal carcinoma (mRCC) is an incurable disease. Sorafenib (SF) is a modestly effective antiangiogenic drug for mRCC. Although only endothelial cells express known SF targets, SF is cytotoxic to RCC cells at concentrations higher than the pharmacological-dose (5-µM). Using patient cohorts, mRCC models, and SF combination with 4-methylumbelliferone (MU), we discovered an SF target in RCC cells and targeted it for treatment.

METHODS: We analyzed HA-synthase (HAS1, HAS2, HAS3) expression in RCC cells and clinical (n = 129), TCGA-KIRC (n = 542), and …

Intestinal Iga-Coated Bacteria In Healthy- And Altered-Microbiomes (Dysbiosis) And Predictive Value In Successful Fecal Microbiota Transplantation, Herbert L Dupont, Zhi-Dong Jiang, Ashley S Alexander, Andrew W Dupont, Eric L Brown

Faculty, Staff and Student Publications

IgA-coated bacteria in the gut (IgA-biome) provide a homeostatic function in healthy people through inhibition of microbial invaders and by protecting the epithelial monolayer of the gut. The laboratory methods used to detect this group of bacteria require flow cytometry and DNA sequencing (IgA-Seq). With dysbiosis (reduced diversity of the microbiome), the IgA-biome also is impaired. In the presence of enteric infection, oral vaccines, or an intestinal inflammatory disorder, the IgA-biome focuses on the pathogenic bacteria or foreign antigens, while in other chronic diseases associated with dysbiosis, the IgA-biome is reduced in capacity. Fecal microbiota transplantation (FMT), the use of …