Medicine and Health Sciences Commons^™

Neutralizing Antibodies Against Ebv Gp42 Show Potent In Vivo Protection And Define Novel Epitopes, Qian Wu, Ling Zhong, Dongmei Wei, Wanlin Zhang, Junping Hong, Yinfeng Kang, Kaiyun Chen, Yang Huang, Qingbing Zheng, Miao Xu, Mu-Sheng Zeng, Yi-Xin Zeng, Ningshao Xia, Qinjian Zhao, Claude Krummenacher, Yixin Chen, Xiao Zhang

Faculty Scholarship for the College of Science & Mathematics

Epstein-Barr virus (EBV) is the first reported human oncogenic virus and infects more than 95% of the human population worldwide. EBV latent infection in B lymphocytes is essential for viral persistence. Glycoprotein gp42 is an indispensable member of the triggering complex for EBV entry into B cells. The C-type lectin domain (CTLD) of gp42 plays a key role in receptor binding and is the major target of neutralizing antibodies. Here, we isolated two rabbit antibodies, 1A7 and 6G7, targeting gp42 CTLD with potent neutralizing activity against B cell infection. Antibody 6G7 efficiently protects humanized mice from lethal EBV challenge and …

Self-Supervised Deep Clustering Of Single-Cell Rna-Seq Data To Hierarchically Detect Rare Cell Populations., Tianyuan Lei, Ruoyu Chen, Shaoqiang Zhang, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

Single-cell RNA sequencing (scRNA-seq) is a widely used technique for characterizing individual cells and studying gene expression at the single-cell level. Clustering plays a vital role in grouping similar cells together for various downstream analyses. However, the high sparsity and dimensionality of large scRNA-seq data pose challenges to clustering performance. Although several deep learning-based clustering algorithms have been proposed, most existing clustering methods have limitations in capturing the precise distribution types of the data or fully utilizing the relationships between cells, leaving a considerable scope for improving the clustering performance, particularly in detecting rare cell populations from large scRNA-seq data. …

Sctiger: A Deep-Learning Method For Inferring Gene Regulatory Networks From Case Versus Control Scrna-Seq Datasets., Madison Dautle, Shaoqiang Zhang, Yong Chen

Faculty Scholarship for the College of Science & Mathematics

Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important computational question to find regulatory mechanisms involved in fundamental cellular processes. Although many computational methods have been designed to predict GRNs from scRNA-seq data, they usually have high false positive rates and none infer GRNs by directly using the paired datasets of case-versus-control experiments. Here we present a novel deep-learning-based method, named scTIGER, for GRN detection by using the co-differential relationships of gene expression profiles in paired scRNA-seq datasets. scTIGER employs cell-type-based pseudotiming, an attention-based convolutional neural network method and permutation-based significance testing for inferring GRNs among …

Voluntary Wheel Running Promotes Resilience To The Behavioral Effects Of Unpredictable Chronic Mild Stress In Male And Female Mice., Elias Elias, Ariel Y Zhang, Abigail G White, Matthew J Pyle, Melissa T Manners

Faculty Scholarship for the College of Science & Mathematics

Besides significant benefits to physical health, exercise promotes mental health, reduces symptoms of mental illness, and enhances psychological development. Exercise can offset the impact of chronic stress, which is a major precursor to the development of mental disorders. The effects of exercise on chronic stress-induced behaviors are contradictory in preclinical studies, primarily due to the lack of data and sex-specific investigations. We sought to evaluate the effects of exercise on chronic stress-induced behavioral changes in both male and female mice. Mice were subjected to an Unpredictable Chronic Mild Stress (UCMS) paradigm with accessibility to running wheels for 2 h daily. …

Novel Signposts On The Road From Natural Sources To Pharmaceutical Applications: A Combinative Approach Between Lc-Dad-Ms And Offline Lc-Nmr For The Biochemical Characterization Of Two Hypericum Species (H. Montbretii And H. Origanifolium), Stefania Sut, Stefano Dall'acqua, Gokhan Zengin, Ismail Senkardes, Abdullahi Ibrahim Uba, Abdelhakim Bouyahya, Abdurrahman Aktumsek

Faculty Scholarship for the College of Science & Mathematics

The members of the genus Hypericum have great potential to develop functional uses in nutraceutical and pharmaceutical applications. With this in mind, we aimed to determine the chemical profiling and biological properties of different extracts (ethyl acetate, methanol and water) from two Hypericum species (H. montbretii and H. origanifolium). We combined two approaches (LC-DAD-MS and LC-NMR) to identify and quantify chemical compounds of the extracts. Antioxidant properties (free radical quenching, reducing power and metal chelating) and enzyme inhibitory effects (cholinesterase, tyrosinase, amylase and glucosidase) were determined as biological properties. The tested extracts were rich in caffeic acid derivatives and flavonoids, …

Deficiency Of Complement Component C1q Prevents Cerebrovascular Damage And White Matter Loss In A Mouse Model Of Chronic Obesity., Leah C Graham, Heidi E Kocalis, Ileana Soto Reyes, Gareth R Howell

Faculty Scholarship for the College of Science & Mathematics

Age-related cognitive decline and many dementias involve complex interactions of both genetic and environmental risk factors. Recent evidence has demonstrated a strong association of obesity with the development of dementia. Furthermore, white matter damage is found in obese subjects and mouse models of obesity. Here, we found that components of the complement cascade, including complement component 1qa (C1QA) and C3 are increased in the brain of Western diet (WD)-fed obese mice, particularly in white matter regions. To functionally test the role of the complement cascade in obesity-induced brain pathology, female and male mice deficient in C1QA, an essential molecule in …

Metabolomic Response Of Equine Skeletal Muscle To Acute Fatiguing Exercise And Training., Dylan J. Klein, Kenneth H Mckeever, Emily T Mirek, Tracy G Anthony

Faculty Scholarship for the College of Science & Mathematics

The athletic horse, despite being over 50% muscle mass, remains understudied with regard to the effects of exercise and training on skeletal muscle metabolism. To begin to address this knowledge gap, we employed an untargeted metabolomics approach to characterize the exercise-induced and fitness-related changes in the skeletal muscle of eight unconditioned Standardbred horses (four male, four female) before and after a 12-week training period. Before training, unconditioned horses showed a high degree of individual variation in the skeletal muscle metabolome, resulting in very few differences basally and at 3 and 24 h after acute fatiguing exercise. Training did not alter …

Bone-Loading Physical Activity And Alcohol Intake But Not Bmi Affect Areal Bone Mineral Density In Young College-Aged Korean Women: A Cross-Sectional Study., Dong Jun Sung, Harshvardhan Singh, Seung-Bum Oh, Sojung Kim

Faculty Scholarship for the College of Science & Mathematics

The purpose of this cross-sectional study was to determine the differences in areal bone mineral density (aBMD) based on alcohol consumption behaviors, bone-loading history as assessed by a bone-specific physical activity questionnaire (BPAQ), and the body mass index (BMI). College-aged female students (N = 112) were recruited from the universities in Seoul and Gyeonggi province, South Korea. The aBMD of the lumbar spine and non-dominant side of the proximal femur (total hip, TH; femoral neck, FN; femoral trochanter, FT) were measured using dual energy X-ray absorptiometry (DXA). Alcohol consumption was determined by the frequency and amount of alcohol intake during …

Increased Interactions And Engulfment Of Dendrites By Microglia Precede Purkinje Cell Degeneration In A Mouse Model Of Niemann Pick Type-C., Larisa Kavetsky, Kayla K Green, Bridget R Boyle, Fawad A K Yousufzai, Zachary M Padron, Sierra E Melli, Victoria L Kuhnel, Harriet M Jackson, Rosa E Blanco, Gareth R Howell, Ileana Soto Reyes

Faculty Scholarship for the College of Science & Mathematics

Niemann Pick Type-C disease (NPC) is an inherited lysosomal storage disease (LSD) caused by pathogenic variants in the Npc1 or Npc2 genes that lead to the accumulation of cholesterol and lipids in lysosomes. NPC1 deficiency causes neurodegeneration, dementia and early death. Cerebellar Purkinje cells (PCs) are particularly hypersensitive to NPC1 deficiency and degenerate earlier than other neurons in the brain. Activation of microglia is an important contributor to PCs degeneration in NPC. However, the mechanisms by which activated microglia promote PCs degeneration in NPC are not completely understood. Here, we are demonstrating that in the Npc1nmf164 mouse cerebellum, microglia …

Saliva Enhances Infection Of Gingival Fibroblasts By Herpes Simplex Virus 1., Yi Zuo, J Charles Whitbeck, Gabriel J Haila, Abraham A Hakim, Paul W Rothlauf, Roselyn J Eisenberg, Gary H Cohen, Claude Krummenacher

Faculty Scholarship for the College of Science & Mathematics

Oral herpes is a highly prevalent infection caused by herpes simplex virus 1 (HSV-1). After an initial infection of the oral cavity, HSV-1 remains latent in sensory neurons of the trigeminal ganglia. Episodic reactivation of the virus leads to the formation of mucocutaneous lesions (cold sores), but asymptomatic reactivation accompanied by viral shedding is more frequent and allows virus spread to new hosts. HSV-1 DNA has been detected in many oral tissues. In particular, HSV-1 can be found in periodontal lesions and several studies associated its presence with more severe periodontitis pathologies. Since gingival fibroblasts may become exposed to salivary …

Meox2 Haploinsufficiency Accelerates Axonal Degeneration In Dba/2j Glaucoma, Rebecca A Buchanan, Kate E Foley, Keating W Pepper, Alaina M Reagan, Kelly J Keezer, Amanda A Hewes, Cory A Diemler, Christoph Preuss, Ileana Soto Reyes, Simon W M John, Gareth R Howell

Faculty Scholarship for the College of Science & Mathematics

Purpose: Glaucoma is a complex disease with major risk factors including advancing age and increased intraocular pressure (IOP). Dissecting these earliest events will likely identify new avenues for therapeutics. Previously, we performed transcriptional profiling in DBA/2J (D2) mice, a widely used mouse model relevant to glaucoma. Here, we use these data to identify and test regulators of early gene expression changes in DBA/2J glaucoma.

Methods: Upstream regulator analysis (URA) in Ingenuity Pathway Analysis was performed to identify potential master regulators of differentially expressed genes. The function of one putative regulator, mesenchyme homeobox 2 (Meox2), was tested using a combination of …

Enhancing Face Validity Of Mouse Models Of Alzheimer's Disease With Natural Genetic Variation., Kristen D Onos, Asli Uyar, Kelly J Keezer, Harriet M Jackson, Christoph Preuss, Casey J Acklin, Rita O'Rourke, Rebecca Buchanan, Travis L Cossette, Stacey J Sukoff Rizzo, Ileana Soto Reyes, Gregory W Carter, Gareth R Howell

Faculty Scholarship for the College of Science & Mathematics

Classical laboratory strains show limited genetic diversity and do not harness natural genetic variation. Mouse models relevant to Alzheimer's disease (AD) have largely been developed using these classical laboratory strains, such as C57BL/6J (B6), and this has likely contributed to the failure of translation of findings from mice to the clinic. Therefore, here we test the potential for natural genetic variation to enhance the translatability of AD mouse models. Two widely used AD-relevant transgenes, APPswe and PS1de9 (APP/PS1), were backcrossed from B6 to three wild-derived strains CAST/EiJ, WSB/EiJ, PWK/PhJ, representative of three Mus musculus subspecies. These new AD strains were …

Transcranial Direct Current Stimulation Of Motor Cortex Enhances Running Performance., Seung-Bo Park, Dong Jun Sung, Bokyung Kim, Sojung Kim, Joung-Kyue Han

Faculty Scholarship for the College of Science & Mathematics

Transcranial direct current stimulation (tDCS) is a technique used to modulate neuronal excitability through non-invasive brain stimulation that can enhance exercise performance. We hypothesize that tDCS would improve submaximal running time to exhaustion (TTE) and delay the increase in the rating of perceived exertion (RPE) over time. We also hypothesize that tDCS would not lead to difference in cardiorespiratory responses. We employed a randomized, single-blinded, and counterbalanced design in which 10 trained men participated. After receiving either 20 min of 1.98 mA anodal tDCS applied over the primary motor cortex (M1) or sham-operated control on separate days, participants completed a …

Interaction Between Nectin-1 And The Human Natural Killer Cell Receptor Cd96., Veronica M Holmes, Carlos Maluquer De Motes, Paige T Richards, Jessenia Roldan, Arjun K Bhargava, Jordan S Orange, Claude Krummenacher

Faculty Scholarship for the College of Science & Mathematics

Regulation of Natural Killer (NK) cell activity is achieved by the integration of both activating and inhibitory signals acquired at the immunological synapse with potential target cells. NK cells express paired receptors from the immunoglobulin family which share common ligands from the nectin family of adhesion molecules. The activating receptor CD226 (DNAM-1) binds to nectin-2 and CD155, which are also recognized by the inhibitory receptor TIGIT. The third receptor in this family is CD96, which is less well characterized and may have different functions in human and mouse models. Human CD96 interacts with CD155 and ligation of this receptor activates …

Association Between Bone-Specific Physical Activity Scores And Pqct-Derived Measures Of Bone Strength And Geometry In Healthy Young And Middle-Aged Premenopausal Women., Sojung Kim, Breanne S Baker, Pragya Sharma-Ghimire, Debra A Bemben, Michael G Bemben

Faculty Scholarship for the College of Science & Mathematics

The aim of this study was to determine if bone-specific physical activity questionnaire (BPAQ) scores were positively related to bone health in healthy young and middle-aged premenopausal women. The total BPAQ was a stronger predictor of bone strength and bone mineral density of hip in young women as compared to middle-aged premenopausal women.

PURPOSE: The purpose of this study was to determine whether the BPAQ scores were predictive indices of volumetric BMD (vBMD), bone strength, and bone geometry in young and middle-aged premenopausal women.

METHODS: Healthy young (n = 60) and middle-aged premenopausal women (n = 54) between the ages …

Relationship Between Bone-Specific Physical Activity Scores And Measures For Body Composition And Bone Mineral Density In Healthy Young College Women., Sojung Kim, Wi-Young So, Jooyoung Kim, Dong Jun Sung

Faculty Scholarship for the College of Science & Mathematics

OBJECTIVE: The purpose of this cross-sectional study was to investigate the relationship between bone-specific physical activity (BPAQ) scores, body composition, and bone mineral density (BMD) in healthy young college women.

METHODS: Seventy-three college women (21.7 ± 1.8 years; 162.1 ± 4.6 cm; 53.9 ± 5.8 kg) between the ages of 19 and 26 years were recruited from the universities in Seoul and Gyeonggi province, South Korea. We used dual energy X-ray absorptiometry to measure the lumbar spine (L2-L4) and proximal femur BMD (left side; total hip, femoral neck). The BPAQ scores (past, pBPAQ; current, cBPAQ; total, tBPAQ) were used to …

Health Capabilities And Diabetes Self-Management: The Impact Of Economic, Social, And Cultural Resources, Robert Weaver, Manon Lemonde, Naghmeh Payman, William M. Goodman

Faculty Scholarship for the College of Science & Mathematics

While the “social determinants of health” view compels us to explore how social structures shape health outcomes, it often ignores the role individual agency plays. In contrast, approaches that focus on individual choice and personal responsibility for health often overlook the influence of social structures. Amartya Sen's “capabilities” framework and its derivative the “health capabilities” (HC) approach attempts to accommodate both points of view, acknowledging that individuals function under social conditions over which they have little control, while also acting as agents in their own health and well-being. This paper explores how economic, social, and cultural resources shape the health …