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Patient-Derived Ipscs Link Elevated Mitochondrial Respiratory Complex I Function To Osteosarcoma In Rothmund-Thomson Syndrome, Brittany E Jewell, An Xu, Dandan Zhu, Mo-Fan Huang, Linchao Lu, Mo Liu, Erica L Underwood, Jun Hyoung Park, Huihui Fan, Julian A Gingold, Ruoji Zhou, Jian Tu, Zijun Huo, Ying Liu, Weidong Jin, Yi-Hung Chen, Yitian Xu, Shu-Hsia Chen, Nino Rainusso, Nathaniel K Berg, Danielle A Bazer, Christopher Vellano, Philip Jones, Holger K Eltzschig, Zhongming Zhao, Benny Abraham Kaipparettu, Ruiying Zhao, Lisa L Wang, Dung-Fang Lee Dec 2021

Patient-Derived Ipscs Link Elevated Mitochondrial Respiratory Complex I Function To Osteosarcoma In Rothmund-Thomson Syndrome, Brittany E Jewell, An Xu, Dandan Zhu, Mo-Fan Huang, Linchao Lu, Mo Liu, Erica L Underwood, Jun Hyoung Park, Huihui Fan, Julian A Gingold, Ruoji Zhou, Jian Tu, Zijun Huo, Ying Liu, Weidong Jin, Yi-Hung Chen, Yitian Xu, Shu-Hsia Chen, Nino Rainusso, Nathaniel K Berg, Danielle A Bazer, Christopher Vellano, Philip Jones, Holger K Eltzschig, Zhongming Zhao, Benny Abraham Kaipparettu, Ruiying Zhao, Lisa L Wang, Dung-Fang Lee

Journal Articles

Rothmund-Thomson syndrome (RTS) is an autosomal recessive genetic disorder characterized by poikiloderma, small stature, skeletal anomalies, sparse brows/lashes, cataracts, and predisposition to cancer. Type 2 RTS patients with biallelic RECQL4 pathogenic variants have multiple skeletal anomalies and a significantly increased incidence of osteosarcoma. Here, we generated RTS patient-derived induced pluripotent stem cells (iPSCs) to dissect the pathological signaling leading to RTS patient-associated osteosarcoma. RTS iPSC-derived osteoblasts showed defective osteogenic differentiation and gain of in vitro tumorigenic ability. Transcriptome analysis of RTS osteoblasts validated decreased bone morphogenesis while revealing aberrantly upregulated mitochondrial respiratory complex I gene expression. RTS osteoblast metabolic assays …


Positron Emission Tomography In The Covid-19 Pandemic Era, Chentao Jin, Xiaoyun Luo, Shufang Qian, Kai Zhang, Yuanxue Gao, Rui Zhou, Peili Cen, Zhoujiao Xu, Hong Zhang, Mei Tian Nov 2021

Positron Emission Tomography In The Covid-19 Pandemic Era, Chentao Jin, Xiaoyun Luo, Shufang Qian, Kai Zhang, Yuanxue Gao, Rui Zhou, Peili Cen, Zhoujiao Xu, Hong Zhang, Mei Tian

Journal Articles

Coronavirus disease 2019 (COVID-19) has become a major public health problem worldwide since its outbreak in 2019. Currently, the spread of COVID-19 is far from over, and various complications have roused increasing awareness of the public, calling for novel techniques to aid at diagnosis and treatment. Based on the principle of molecular imaging, positron emission tomography (PET) is expected to offer pathophysiological alternations of COVID-19 in the molecular/cellular perspectives and facilitate the clinical management of patients. A number of PET-related cases and research have been reported on COVID-19 over the past one year. This article reviews the current studies of …


Flowcharts Improve Periodontal Diagnosis By Dental And Dental Hygiene Students, Karo Parsegian, Srinivas Ayilavarapu, Tulsi Patel, Harold A Henson, Nikola Angelov Oct 2021

Flowcharts Improve Periodontal Diagnosis By Dental And Dental Hygiene Students, Karo Parsegian, Srinivas Ayilavarapu, Tulsi Patel, Harold A Henson, Nikola Angelov

Journal Articles

BACKGROUND: In 2017, the American Academy of Periodontology and the European Federation of Periodontology updated the classification of periodontal and peri-implant diseases and conditions. The goal of the present crossover study was to develop straightforward, illustrative flowcharts and determine their impact on the accuracy and speed of diagnosing periodontal conditions by predoctoral dental students (DS) and dental hygiene students (DHS).

METHODS: Two flowcharts (a decision-tree flowchart and one based on the periodontal disease/condition entity) were developed using updated diagnostic determinants proposed by the 2017 classification. A total of 26 second-, third-, and fourth-year DS (DS2, DS3, and DS4, respectively) and …


Virulence And Biofilm Formation In Candida Albicans Are Inhibited By Short Peptide Subunits Of Entv, Shane Cristy Aug 2021

Virulence And Biofilm Formation In Candida Albicans Are Inhibited By Short Peptide Subunits Of Entv, Shane Cristy

Dissertations & Theses (Open Access)

Candida albicans, the most clinically significant fungal pathogen, commonly causes topical mucosal infections such as oral cavity and urogenital tract infections. It also less frequently causes severe invasive and bloodstream infections. Invasive infections are most prevalent amongst patients with compromised innate immune responses, such as those receiving chemotherapy or recovering from surgery. C. albicans can also form biofilms on implanted medical devices. Fungal infections are difficult to treat due to the paucity of therapeutic options, and this problem is compounded by the resistance properties of biofilm infections.

Candida albicans exists as a member of the commensal flora of the …


Research Hotspots And Trends Of Microrna In Periodontology And Dental Implantology: A Bibliometric Analysis, Kang Gao, Yiping Dou, Menghao Lv, Yihui Zhu, Sitong Hu, Pan Ma Jul 2021

Research Hotspots And Trends Of Microrna In Periodontology And Dental Implantology: A Bibliometric Analysis, Kang Gao, Yiping Dou, Menghao Lv, Yihui Zhu, Sitong Hu, Pan Ma

Journal Articles

BACKGROUND: Periodontal disease is a leading cause of tooth loss, and microRNA (miRNA) has been shown to regulate various biological processes. This study aimed to quantitatively analyze the literature related to miRNA in periodontology and dental implantology and summarize the research hotspots and trends in this field.

METHODS: Literature records from 1985 to 2020 were obtained from the Web of Science Core Collection database. After manual selection, the data was used for cooperative network analysis, keyword co-occurrence analysis, and reference co-citation analysis and visualized by CiteSpace.

RESULTS: A total of 287 papers were analyzed between 2007 and 2020, and more …


An Assessment Of Outpatient Clinic Room Ventilation Systems And Possible Relationship To Disease Transmission, Kristin G King, George L Delclos, Eric L Brown, Susan Tortolero Emery, Jose Miguel Yamal, Robert J Emery Jun 2021

An Assessment Of Outpatient Clinic Room Ventilation Systems And Possible Relationship To Disease Transmission, Kristin G King, George L Delclos, Eric L Brown, Susan Tortolero Emery, Jose Miguel Yamal, Robert J Emery

Journal Articles

BACKGROUND: With healthcare shifting to the outpatient setting, this study examined whether outpatient clinics operating in business occupancy settings were conducting procedures in rooms with ventilation rates above, at, or below thresholds defined in the American National Standards Institute/American Society of Heating, Refrigerating and Air-Conditioning Engineers/American Society for Health Care Engineering Standard 170 for Ventilation in Health Care Facilities and whether lower ventilation rates and building characteristics increase the risk of disease transmission.

METHODS: Ventilation rates were measured in 105 outpatient clinic rooms categorized by services rendered. Building characteristics were evaluated as determinants of ventilation rates, and risk of disease …


Med-Bert: Pretrained Contextualized Embeddings On Large-Scale Structured Electronic Health Records For Disease Prediction., Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi May 2021

Med-Bert: Pretrained Contextualized Embeddings On Large-Scale Structured Electronic Health Records For Disease Prediction., Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

Journal Articles

Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption of DL-based models in scenarios with limited training data. Recently, bidirectional encoder representations from transformers (BERT) and related models have achieved tremendous successes in the natural language processing domain. The pretraining of BERT on a very large training corpus generates contextualized embeddings that can boost the performance of models trained on smaller datasets. Inspired by BERT, we propose Med-BERT, which adapts the BERT framework originally developed …


Med-Bert: Pretrained Contextualized Embeddings On Large-Scale Structured Electronic Health Records For Disease Prediction., Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi May 2021

Med-Bert: Pretrained Contextualized Embeddings On Large-Scale Structured Electronic Health Records For Disease Prediction., Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

Journal Articles

Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption of DL-based models in scenarios with limited training data. Recently, bidirectional encoder representations from transformers (BERT) and related models have achieved tremendous successes in the natural language processing domain. The pretraining of BERT on a very large training corpus generates contextualized embeddings that can boost the performance of models trained on smaller datasets. Inspired by BERT, we propose Med-BERT, which adapts the BERT framework originally developed …


Opportunities And Challenges In Developing A Cryptosporidium Controlled Human Infection Model For Testing Antiparasitic Agents, Rajiv S Jumani, Johanne Blais, Hanns-Christian Tillmann, Florencia Segal, Dean Wetty, Christian Ostermeier, Natko Nuber, Jay Lakshman, Natasha Aziz, Richa Chandra, Wilbur H Chen, Cynthia L Chappell, Thierry T Diagana, Ujjini H Manjunatha May 2021

Opportunities And Challenges In Developing A Cryptosporidium Controlled Human Infection Model For Testing Antiparasitic Agents, Rajiv S Jumani, Johanne Blais, Hanns-Christian Tillmann, Florencia Segal, Dean Wetty, Christian Ostermeier, Natko Nuber, Jay Lakshman, Natasha Aziz, Richa Chandra, Wilbur H Chen, Cynthia L Chappell, Thierry T Diagana, Ujjini H Manjunatha

Journal Articles

Cryptosporidiosis is a leading cause of moderate-to-severe diarrhea in low- and middle-income countries, responsible for high mortality in children younger than two years of age, and it is also strongly associated with childhood malnutrition and growth stunting. There is no vaccine for cryptosporidiosis and existing therapeutic options are suboptimal to prevent morbidity and mortality in young children. Recently, novel therapeutic agents have been discovered through high-throughput phenotypic and target-based screening strategies, repurposing malaria hits, etc., and these agents have a promising preclinical in vitro and in vivo anti-


Genetic Pathway Analysis Of Abnormal Facial Development In Nonsyndromic Cleft Lip And Palate, Lorena Maili May 2021

Genetic Pathway Analysis Of Abnormal Facial Development In Nonsyndromic Cleft Lip And Palate, Lorena Maili

Dissertations & Theses (Open Access)

Nonsyndromic cleft lip with or without cleft palate (NSCLP) is the most common craniofacial birth defect resulting from incomplete fusion of the facial prominences during development, which leaves a gap in the lip, primary palate and/or the secondary palate. NSCLP affects 135,000 NSCLP newborns worldwide each year based on a birth prevalence of 1 per 700 live births. While surgical treatments have dramatically improved, many long-term health issues persist, imposing significant medical, psychosocial and economic burdens. Familial aggregation and segregation analyses suggest genetic contributions underlie NSCLP, but despite decades of study, only a small portion of the NSCLP genetic liability …


Oral Versus Gastrointestinal Mucosal Immune Niches In Homeostasis And Allostasis, Lina J Suárez, Silie Arboleda, Nikola Angelov, Roger M Arce Jan 2021

Oral Versus Gastrointestinal Mucosal Immune Niches In Homeostasis And Allostasis, Lina J Suárez, Silie Arboleda, Nikola Angelov, Roger M Arce

Journal Articles

Different body systems (epidermis, respiratory tract, cornea, oral cavity, and gastrointestinal tract) are in continuous direct contact with innocuous and/or potentially harmful external agents, exhibiting dynamic and highly selective interaction throughout the epithelia, which function as both a physical and chemical protective barrier. Resident immune cells in the epithelia are constantly challenged and must distinguish among antigens that must be either tolerated or those to which a response must be mounted for. When such a decision begins to take place in lymphoid foci and/or mucosa-associated lymphoid tissues, the epithelia network of immune surveillance actively dominates both oral and gastrointestinal compartments, …