Medical Microbiology Commons^™

Dysregulated Coagulation System Links To Inflammation In Diabetic Kidney Disease, Mengyun Xiao, Donge Tang, Shaodong Luan, Bo Hu, Wenyu Gong, Wolfgang Pommer, Yong Dai, Lianghong Yin

Faculty, Staff and Student Publications

Diabetic kidney disease (DKD) is a significant contributor to end-stage renal disease worldwide. Despite extensive research, the exact mechanisms responsible for its development remain incompletely understood. Notably, patients with diabetes and impaired kidney function exhibit a hypercoagulable state characterized by elevated levels of coagulation molecules in their plasma. Recent studies propose that coagulation molecules such as thrombin, fibrinogen, and platelets are interconnected with the complement system, giving rise to an inflammatory response that potentially accelerates the progression of DKD. Remarkably, investigations have shown that inhibiting the coagulation system may protect the kidneys in various animal models and clinical trials, suggesting …

The Genetic Landscape And Clinical Implication Of Pediatric Moyamoya Angiopathy In An International Cohort, Yan-Hao Wei, Ren-Tang Bi, Yan-Mei Qiu, Chun-Lin Zhang, Jian-Zhuang Li, Ya-Nan Li, Bo Hu

Faculty, Staff and Student Publications

Ischemic stroke is a highly complex systemic disease characterized by intricate interactions between the brain and gastrointestinal tract. While our current understanding of these interactions primarily stems from experimental models, their relevance to human stroke outcomes is of considerable interest. After stroke, bidirectional communication between the brain and gastrointestinal tract initiates changes in the gastrointestinal microenvironment. These changes involve the activation of gastrointestinal immunity, disruption of the gastrointestinal barrier, and alterations in gastrointestinal microbiota. Importantly, experimental evidence suggests that these alterations facilitate the migration of gastrointestinal immune cells and cytokines across the damaged blood-brain barrier, ultimately infiltrating the ischemic brain. …

Common Statistical Concepts In The Supervised Machine Learning Arena, Hooman H Rashidi, Samer Albahra, Scott Robertson, Nam K Tran, Bo Hu

Faculty, Staff and Student Publications

One of the core elements of Machine Learning (ML) is statistics and its embedded foundational rules and without its appropriate integration, ML as we know would not exist. Various aspects of ML platforms are based on statistical rules and most notably the end results of the ML model performance cannot be objectively assessed without appropriate statistical measurements. The scope of statistics within the ML realm is rather broad and cannot be adequately covered in a single review article. Therefore, here we will mainly focus on the common statistical concepts that pertain to supervised ML (i.e. classification and regression) along with …

Conformational Rearrangements In The Sensory Rcsf/Omp Complex Mediate Signal Transduction Across The Bacterial Cell Envelope, Sarah R Lach, Santosh Kumar, Seonghoon Kim, Wonpil Im, Anna Konovalova

Faculty, Staff and Student Publications

Timely detection and repair of envelope damage are paramount for bacterial survival. The Regulator of Capsule Synthesis (Rcs) stress response can transduce the stress signals across the multilayered gram-negative cell envelope to regulate gene expression in the cytoplasm. Previous studies defined the overall pathway, which begins with the sensory lipoprotein RcsF interacting with several outer membrane proteins (OMPs). RcsF can also interact with the periplasmic domain of the negative regulator IgaA, derepressing the downstream RcsCDB phosphorelay. However, how the RcsF/IgaA interaction is regulated at the molecular level to activate the signaling in response to stress remains poorly understood. In this …

Risk Factors Associated With Severe Clostridioides Difficile Infection In Patients With Cancer, Denise Marie A Francisco, Liangliang Zhang, Ying Jiang, Adilene Olvera, Javier Adachi, Eduardo Yepez Guevara, Samuel L Aitken, Kevin W Garey, Christine B Peterson, Kim-Anh Do, Ryan Dillon, Engels N Obi, Robert Jenq, Pablo C Okhuysen

Faculty, Staff and Student Publications

INTRODUCTION: Antibiotic use is a risk factor for Clostridioides difficile infection (CDI). Few studies have correlated use of prior antibiotic classes with CDI, microbiome composition, and disease severity in patients with cancer. We hypothesized that previous antibiotic exposure and fecal microbiome composition at time of presentation are risk factors for severe CDI in patients with cancer.

METHODS: This non-interventional, prospective, cohort study examined 200 patients with cancer who had their first episode or first recurrence of CDI. C. difficile was identified using nucleic acid amplification testing. Univariate analysis was used to determine significant risk factors for severe CDI. Fecal microbiome …

Sparse Tree-Based Clustering Of Microbiome Data To Characterize Microbiome Heterogeneity In Pancreatic Cancer, Yushu Shi, Liangliang Zhang, Kim-Anh Do, Robert Jenq, Christine B Peterson

Faculty, Staff and Student Publications

There is a keen interest in characterizing variation in the microbiome across cancer patients, given increasing evidence of its important role in determining treatment outcomes. Here our goal is to discover subgroups of patients with similar microbiome profiles. We propose a novel unsupervised clustering approach in the Bayesian framework that innovates over existing model-based clustering approaches, such as the Dirichlet multinomial mixture model, in three key respects: we incorporate feature selection, learn the appropriate number of clusters from the data, and integrate information on the tree structure relating the observed features. We compare the performance of our proposed method to …

Evolutionary Aspects Of Infections: Inflammation And Sickness Behaviors, Robert Dantzer

Faculty, Staff and Student Publications

Sickness behavior was conceptualized initially as the behavioral counterpart of the fever response to infectious pathogens. It helps to raise body temperature to its higher setpoint and to maintain it at this new level and it has the additional benefit of enabling a weakened organism to protect itself from other dangers. The discovery of the behavioral effects of proinflammatory cytokines produced by activated immune cells provided a cellular and molecular basis to this phenomenon. The administration of cytokines or cytokine inducers like lipopolysaccharide to healthy rodents allowed to reveal the similarities and differences between inflammation-induced sickness behavior and the fever …

The Effect Of Efflux Pumps On Yeast Susceptibility To Chitosan, Sureeporn Muangsawat

Chulalongkorn University Theses and Dissertations (Chula ETD)

Mucocutaneous and life-threatening systemic fungal infections by Candida is a critical problem worldwide, especially with rising prevalence of antifungal drug resistance. Novel alternative or adjunctive antifungal agents with low toxicity is thus in great need. Because drug-efflux pump overexpression is a common mechanism conferring multi-drug resistance, we investigated the effects of drug-efflux pumps on antifungal activity of chitosan, a natural polymer with promising antifungal activity. The minimal fungicidal concentration (MFC) of oligomer (7-9 kD) and polymer (900-1,000 kD) chitosan against Saccharomyces cerevisiae and Candida albicans were evaluated by broth and agar dilution methods. To examine the roles of efflux pumps, …

The Comparison Between Alternative And Standard Methods For Quality Control Of Diphtheria Toxoid In Thai-Gpo’S Dtp And Dt Vaccines (Adsorbed), Wanlop Leeden

Chulalongkorn University Theses and Dissertations (Chula ETD)

In response to the country's vaccine security policy and to make Thailand self-reliant in vaccine supply, the Government Pharmaceutical Organization has been successfully established he the production process of dT and DTP vaccine (Adsorbed). According to WHO recommendation, the quality control scheme for dT, DTP vaccines (adsorbed) includes identity test, toxicity and reversion to toxicity test, potency test, and antigen content and degree of absorption. Therefore, it is of interest to study and develop appropriate methods for use in quality control and for inclusion in the product registration application process. The comparison study of the quality testing methods can categorized …

Efficiency Of Mrna Vaccine Against House Dust Mite Allergy In Mouse Model, Chanatip Thanasarnthungcharoen

Chulalongkorn University Theses and Dissertations (Chula ETD)

Through the capacity to mediate Th1-biased immune responses and the induction of neutralizing antibodies, the mRNA-lipid nanoparticle (LNP) platform could represent an innovative approach for shorter, safer, and more effective treatment of house dust mite (HDM) allergy. Our previous study showed that nucleoside-modified mRNA encoding recombinant forms of HDM allergens Der p 1 and Der p 2 (ProDer p 1 and Der p 2 K96A) and formulated with ionizable LNP, induced Th1-biased immune responses and potent specific blocking IgG responses, while being non-reactogenic in sensitized mice. This present study evaluated the immunotherapeutic efficacy of HDM-specific mRNA-LNP-based AIT in a mouse …

Genome-Wide Characterization Of Trichome Birefringence-Like Genes Provides Insights Into Fiber Yield Improvement, Ziyin Li, Yuzhen Shi, Xianghui Xiao, Jikun Song, Pengtao Li, Juwu Gong, Haibo Zhang, Wankui Gong, Aiying Liu, Renhai Peng, Haihong Shang, Qun Ge, Junwen Li, Jingtao Pan, Quanjia Chen, Quanwei Lu, Youlu Yuan

Faculty, Staff and Student Publications

Cotton is an important fiber crop. The cotton fiber is an extremely long trichome that develops from the epidermis of an ovule. The trichome is a general and multi-function plant organ, and trichome birefringence-like (TBL) genes are related to trichome development. At the genome-wide scale, we identified TBLs in four cotton species, comprising two cultivated tetraploids (Gossypium hirsutum and G. barbadense) and two ancestral diploids (G. arboreum and G. raimondii). Phylogenetic analysis showed that the TBL genes clustered into six groups. We focused on GH_D02G1759 in group IV because it was located in a …

Research On Cloud Manufacturing Service Recommendation Based On Graph Neural Network, Minghui Li, Xiaoqiu Shi, Yuqiang Shi, Yong Cai, Xuewen Dong

Faculty, Staff and Student Publications

There are an increasing number of manufacturing service resources appeared on the cloud manufacturing (CMfg) service platform recently, which leads to a serious information overloading problem to the enterprises that need these resources. To tackle this problem, a graph neural network-based recommendation method for CMfg service resources is proposed, which effectively overcomes some limitations of the traditional recommendation methods. Specifically, we first use different similarity calculation methods (e.g., Cosine similarity, Pearson correlation coefficient, etc.) to calculate the similarities between different resources based on the feature information of CMfg service resources. A resource graph dataset is accordingly established. A graph neural …

The Rsv F P27 Peptide: Current Knowledge, Important Questions, Wanderson Rezende, Hadley E Neal, Rebecca E Dutch, Pedro A Piedra

Faculty, Staff and Students Publications

Respiratory syncytial virus (RSV) remains a leading cause of hospitalizations and death for young children and adults over 65. The worldwide impact of RSV has prioritized the search for an RSV vaccine, with most targeting the critical fusion (F) protein. However, questions remain about the mechanism of RSV entry and RSV F triggering and fusion promotion. This review highlights these questions, specifically those surrounding a cleaved 27 amino acids long peptide within F, p27.

Cell-Type-Specific Aging Clocks To Quantify Aging And Rejuvenation In Neurogenic Regions Of The Brain, Matthew T Buckley, Eric D Sun, Benson M George, Ling Liu, Nicholas Schaum, Lucy Xu, Jaime M Reyes, Margaret A Goodell, Irving L Weissman, Tony Wyss-Coray, Thomas A Rando, Anne Brunet

Faculty, Staff and Students Publications

The diversity of cell types is a challenge for quantifying aging and its reversal. Here we develop 'aging clocks' based on single-cell transcriptomics to characterize cell-type-specific aging and rejuvenation. We generated single-cell transcriptomes from the subventricular zone neurogenic region of 28 mice, tiling ages from young to old. We trained single-cell-based regression models to predict chronological age and biological age (neural stem cell proliferation capacity). These aging clocks are generalizable to independent cohorts of mice, other regions of the brains, and other species. To determine if these aging clocks could quantify transcriptomic rejuvenation, we generated single-cell transcriptomic datasets of neurogenic …

The Nr2f2-Hand2 Signaling Axis Regulates Progesterone Actions In The Uterus At Early Pregnancy, Yeongseok Oh, Elvis Quiroz, Tianyuan Wang, Yassmin Medina-Laver, Skylar Montague Redecke, Francisco Dominguez, John P Lydon, Francesco J Demayo, San-Pin Wu

Faculty, Staff and Students Publications

Endometrial function is dependent on a tight crosstalk between the epithelial and stromal cells of the endometrium. This communication is critical to ensure a fertile uterus and relies on progesterone and estrogen signaling to prepare a receptive uterus for embryo implantation in early pregnancy. One of the key mediators of this crosstalk is the orphan nuclear receptor NR2F2, which regulates uterine epithelial receptivity and stromal cell differentiation. In order to determine the molecular mechanism regulated by NR2F2, RNAseq analysis was conducted on the uterus of

Resveratrol Attenuates Staphylococcal Enterotoxin B-Activated Immune Cell Metabolism, Hasan Alghetaa, Amira Mohammed, Narendra Singh, Kiesha Wilson, Goushuai Cai, Nagireddy Putluri, Mitzi Nagarkatti, Prakash Nagarkatti

Faculty, Staff and Students Publications

Acute Respiratory Distress Syndrome (ARDS) is triggered by a variety of insults, such as bacterial and viral infections, including SARS-CoV-2, leading to high mortality. In the murine model of ARDS induced by Staphylococcal enterotoxin-B (SEB), our previous studies showed that while SEB triggered 100% mortality, treatment with Resveratrol (RES) completely prevented such mortality by attenuating inflammation in the lungs. In the current study, we investigated the metabolic profile of SEB-activated immune cells in the lungs following treatment with RES. RES-treated mice had higher expression of miR-100 in the lung mononuclear cells (MNCs), which targeted mTOR, leading to its decreased expression. …

The Covert Symphony: Cellular And Molecular Accomplices In Breast Cancer Metastasis, Hongjiang Si, Madelyn Esquivel, Erika Mendoza Mendoza, Kevin Roarty

Faculty, Staff and Students Publications

Breast cancer has emerged as the most commonly diagnosed cancer and primary cause of cancer-related deaths among women worldwide. Although significant progress has been made in targeting the primary tumor, the effectiveness of systemic treatments to prevent metastasis remains limited. Metastatic disease continues to be the predominant factor leading to fatality in the majority of breast cancer patients. The existence of a prolonged latency period between initial treatment and eventual recurrence in certain patients indicates that tumors can both adapt to and interact with the systemic environment of the host, facilitating and sustaining the progression of the disease. In order …

Selective Reprogramming Of Regulatory T Cells In Solid Tumors Can Strongly Enhance Or Inhibit Tumor Growth, Rami Alfar, John V Napoleon, Imrul Shahriar, Richard Finnell, Cole Walchle, Austin Johnson, Philip S Low

Faculty, Staff and Students Publications

Folate receptor delta (FRδ) has been used as a biomarker for regulatory T cells (Tregs), because its expression is limited to Tregs and ovum. Although FRδ is unable to bind folate, we have used molecular docking software to identify a folate congener that binds FRδ with high affinity and have exploited this FRδ-specific ligand to target attached drugs (imaging agents, immune activators, and immune suppressors) specifically to Tregs in murine tumor xenografts. Analysis of treated tumors demonstrates that targeting of a Toll-like receptor 7 agonist inhibits Treg expression of FOXP3, PD-1, CTLA4, and HELIOS, resulting in 40-80% reduction in tumor …

Binary Classification Of The Endocrine Disrupting Chemicals By Artificial Neural Networks, Zahir Aghayev, George F Walker, Funda Iseri, Moustafa Ali, Adam T Szafran, Fabio Stossi, Michael A Mancini, Efstratios N Pistikopoulos, Burcu Beykal

Faculty, Staff and Students Publications

We develop a machine learning framework that integrates high content/high throughput image analysis and artificial neural networks (ANNs) to model the separation between chemical compounds based on their estrogenic receptor activity. Natural and man-made chemicals have the potential to disrupt the endocrine system by interfering with hormone actions in people and wildlife. Although numerous studies have revealed new knowledge on the mechanism through which these compounds interfere with various hormone receptors, it is still a very challenging task to comprehensively evaluate the endocrine disrupting potential of all existing chemicals and their mixtures by pure

Integrative Metabolomics And Transcriptomics Analysis Reveals Novel Therapeutic Vulnerabilities In Lung Cancer, Jose Thaiparambil, Jianrong Dong, Sandra L Grimm, Dimuthu Perera, Chandra Shekar R Ambati, Vasanta Putluri, Matthew J Robertson, Tajhal D Patel, Brandon Mistretta, Preethi H Gunaratne, Min P Kim, Jason T Yustein, Nagireddy Putluri, Cristian Coarfa, Randa El-Zein

Faculty, Staff and Students Publications

BACKGROUND: Non-small cell lung cancer (NSCLC) comprises the majority (~85%) of all lung tumors, with lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) being the most frequently diagnosed histological subtypes. Multi-modal omics profiling has been carried out in NSCLC, but no studies have yet reported a unique metabolite-related gene signature and altered metabolic pathways associated with LUAD and LUSC.

METHODS: We integrated transcriptomics and metabolomics to analyze 30 human lung tumors and adjacent noncancerous tissues. Differential co-expression was used to identify modules of metabolites that were altered between normal and tumor.

RESULTS: We identified unique metabolite-related gene signatures specific for …