Anatomy Commons^™

Antiangiogenic Therapy Combined With Immune Checkpoint Blockade In Urothelial Cancer: Systematic Review And Meta-Analysis, Mohammad Jad Moussa, Iuliia Kovalenko, Emanuele Crupi, Ekaterina Proskuriakova, Yimin Geng, Giuseppe Fallara, Raed Benkhadra, Daniele Raggi, Matthew T. Campbell, Pavlos Msaouel, Omar Alhalabi

Department of Medicine Faculty Publications

Background: Antiangiogenic therapy had been tested in urothelial cancer (UC) without reaching the clinic.

Objective: We provide a systematic review and meta-analysis of trials to assess efficacy of immune checkpoint inhibitors (ICI) combined with antiangiogenic agents in UC.

Methods: Following PRISMA guidelines, we searched for trials with at least one arm of patients with UC treated with ICI plus antiangiogenics. Data were analyzed with the "meta" package from R using a one-staged frequentist meta-analysis.

Results: After screening 13,708 titles and abstracts, 9 studies were selected for analysis with 14 identified cohorts comprising 621 patients: 448 were ICI-naïve (ICI-N) and 173 …

An Objective Assessment Of Neuromotor Control Using A Smartphone App After Repeated Subconcussive Blast Exposure, Charlend K. Howard, Masahiro Yamada, Marcia Dovel, Rie Leverett, Alexander Hill, Kenneth A. Manlapaz, David O. Keyser, Rene S. Hernandez, Sheilah S. Rowe, Walter S. Carr, Michael S. Roy, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Subconcussive blast exposure has been shown to alter neurological functioning. However, the extent to which neurological dysfunction persists after blast exposure is unknown. This longitudinal study examined the potential short- and long-term effects of repeated subconcussive blast exposure on neuromotor performance from heavy weapons training in military personnel. A total of 214 participants were assessed; 137 were exposed to repeated subconcussive blasts and 77 were not exposed to blasts (controls). Participants completed a short stepping-in-place task while an Android smartphone app placed on their thigh recorded movement kinematics. We showed acute suppression of neuromotor variability 6 h after subconcussive blast …

Identification And Characterization Of Two Novel Kcnh2 Mutations Contributing To Long Qt Syndrome, Anthony Owusu-Mensah, Jacqueline Treat, Joyce Bernardi, Ryan Pfeiffer, Robert Goodrow, Bright Tsevi, Victoria Lam, Michel Audette, Jonathan M. Cordeiro, Makarand Deo

Electrical & Computer Engineering Faculty Publications

We identified two different inherited mutations in KCNH2 gene, or human ether-a-go-go related gene (hERG), which are linked to Long QT Syndrome. The first mutation was in a 1-day-old infant, whereas the second was in a 14-year-old girl. The two KCNH2 mutations were transiently transfected into either human embryonic kidney (HEK) cells or human induced pluripotent stem-cell derived cardiomyocytes. We performed associated multiscale computer simulations to elucidate the arrhythmogenic potentials of the KCNH2 mutations. Genetic screening of the first and second index patients revealed a heterozygous missense mutation in KCNH2, resulting in an amino acid change (P632L) in the …

Wavelet-Based Harmonization Of Local And Global Model Shifts In Federated Learning For Histopathological Images, W. Farzana, A. Temtam, K. M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Federated Learning (FL) is a promising machine learning approach for development of data-driven global model using collaborative local models across multiple local institutions. However, the heterogeneity of medical imaging data is one of the challenges within FL. This heterogeneity is caused by the variation in imaging scanner protocols across institutions, which may result in weight shift among local models leading to deterioration in predictive accuracy of global model. The prevailing approaches involve applying different FL averaging techniques to enhance the performance of the global model, ignoring the distinct imaging features of the local domain. In this work, we address both …

Post-Mortem Investigation Of Deaths Due To Pneumonia In Children Aged 1–59 Months In Sub-Saharan Africa And South Asia From 2016 To 2022: An Observational Study., Sana Mahtab, Dianna Blau, Zachary Madewell, Ikechukwu Ogbuanu, Julius Ojulong, Sandra Lako, Hailemariam Legesse, Joseph Bangura, Quique Bassat, Gunturu Revathi

Pathology, East Africa

Background; The Child Health and Mortality Prevention Surveillance (CHAMPS) Network programme undertakes post-mortem minimally invasive tissue sampling (MITS), together with collection of ante-mortem clinical information, to investigate causes of childhood deaths across multiple countries. We aimed to evaluate the overall contribution of pneumonia in the causal pathway to death and the causative pathogens of fatal pneumonia in children aged 1–59 months enrolled in the CHAMPS Network.

Methods; In this observational study we analysed deaths occurring between Dec 16, 2016, and Dec 31, 2022, in the CHAMPS Network across six countries in sub-Saharan Africa (Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and …

Enhancing Associative Learning In Rats With A Computationally Designed Training Protocol, Xu O Zhang, Yili Zhang, Claire E Cho, Douglas S Engelke, Paul Smolen, John H Byrne, Fabricio H Do-Monte

Faculty, Staff and Student Publications

Background

Learning requires the activation of protein kinases with distinct temporal dynamics. In Aplysia, nonassociative learning can be enhanced by a computationally designed learning protocol with intertrial intervals (ITIs) that maximize the interaction between fast-activated PKA (protein kinase A) and slow-activated ERK (extracellular signal-regulated kinase). Whether a similar strategy can enhance associative learning in mammals is unknown.

Methods

We simulated 1000 training protocols with varying ITIs to predict an optimal protocol based on empirical data for PKA and ERK dynamics in rat hippocampus. Adult male rats received the optimal protocol or control protocols in auditory fear conditioning and fear …

Synaptic Vesicle Dynamics In Mouse Rod Bipolar Cells, Sara S Patterson, Rebecca J Girresch, Marcus A Mazzaferri, Andrea S Bordt, Wendy L Piñon-Teal, Brett D Jesse, Dinukie-Chantal W Perera, Melanie A Schlepphorst, James A Kuchenbecker, Alice Z Chuang, Jay Neitz, David W Marshak, Judith Mosinger Ogilvie

Faculty, Staff and Student Publications

Considerable progress has been made in studying the receptive fields of the most common primate retinal ganglion cell (RGC) types, such as parasol RGCs. Much less is known about the rarer primate RGC types and the circuitry that gives rise to noncanonical receptive field structures. The goal of this study was to analyze synaptic inputs to smooth monostratified RGCs to determine the origins of their complex spatial receptive fields, which contain isolated regions of high sensitivity called "hotspots." Interestingly, smooth monostratified RGCs co-stratify with the well-studied parasol RGCs and are thus constrained to receiving input from bipolar and amacrine cells …

Structures Of Channelrhodopsin Paralogs In Peptidiscs Explain Their Contrasting K+ And Na+ Selectivities, Shu Kikuta, Shin Nagayama, Sanae Hasegawa-Ishii

Faculty, Staff and Student Publications

The olfactory epithelium (OE) is directly exposed to environmental agents entering the nasal cavity, leaving OSNs prone to injury and degeneration. The causes of olfactory dysfunction are diverse and include head trauma, neurodegenerative diseases, and aging, but the main causes are chronic rhinosinusitis (CRS) and viral infections. In CRS and viral infections, reduced airflow due to local inflammation, inflammatory cytokine production, release of degranulated proteins from eosinophils, and cell injury lead to decreased olfactory function. It is well known that injury-induced loss of mature OSNs in the adult OE causes massive regeneration of new OSNs within a few months through …

Anesthetized Animal Experiments For Neuroscience Research, Shin Nagayama, Sanae Hasegawa-Ishii, Shu Kikuta

Faculty, Staff and Student Publications

Brain research has progressed with anesthetized animal experiments for a long time. Recent progress in research techniques allows us to measure neuronal activity in awake animals combined with behavioral tasks. The trends became more prominent in the last decade. This new research style triggers the paradigm shift in the research of brain science, and new insights into brain function have been revealed. It is reasonable to consider that awake animal experiments are more ideal for understanding naturalistic brain function than anesthetized ones. However, the anesthetized animal experiment still has advantages in some experiments. To take advantage of the anesthetized animal …

Role Of A Pdlim5:Palmd Complex In Directing Dendrite Morphology, Yogesh Srivastava, Maxsam Donta, Lydia L Mireles, Adriana Paulucci-Holthauzen, M Neal Waxham, Pierre D Mccrea

Faculty, Staff and Student Publications

Neuronal connectivity is regulated during normal brain development with the arrangement of spines and synapses being dependent on the morphology of dendrites. Further, in multiple neurodevelopmental and aging disorders, disruptions of dendrite formation or shaping is associated with atypical neuronal connectivity. We showed previously that Pdlim5 binds delta-catenin and promotes dendrite branching. We report here that Pdlim5 interacts with PalmD, a protein previously suggested by others to interact with the cytoskeleton (e.g.,

Anticancer Effects Of Wild Baicalin On Hepatocellular Carcinoma: Downregulation Of Akr1b10 And Pi3k/Akt Signaling Pathways, Longjun Sun, Wenjuan Chen, Peixi Zhao, Bin Zhao, Guangyan Lei, Le Han, Yili Zhang

Faculty, Staff and Student Publications

ntroduction

Hepatocellular carcinoma (HCC) is a common and deadly malignancy. Traditional Chinese medicine, such as the compound Astragalus (wild Baicalin), has shown promise in improving outcomes for HCC patients. This study aimed to investigate the effects of wild Baicalin on the human hepatoma cell line HepG2 and elucidate the underlying mechanisms, particularly the role of the AKR1B10 and PI3K/AKT signaling pathways.

Methods

HepG2 cells were treated with varying concentrations of wild Baicalin. Cell proliferation, apoptosis, migration, invasion, and cell cycle were evaluated using CCK-8, flow cytometry, scratch, Transwell, and clonogenic assays, respectively. Transcriptome sequencing was performed to analyze gene expression …

Exploring Angiotensin Ii And Oxidative Stress In Radiation-Induced Cataract Formation: Potential For Therapeutic Intervention, Vidya P. Kumar, Yali Kong, Riana Dolland, Sandra R. Brown, Kan Wang, Damian Dolland, David Mu, Milton L. Brown

Department of Biomedical and Translational Sciences Faculty Publications

Radiation-induced cataracts (RICs) represent a significant public health challenge, particularly impacting individuals exposed to ionizing radiation (IR) through medical treatments, occupational settings, and environmental factors. Effective therapeutic strategies require a deep understanding of the mechanisms underlying RIC formation (RICF). This study investigates the roles of angiotensin II (Ang II) and oxidative stress in RIC development, with a focus on their combined effects on lens transparency and cellular function. Key mechanisms include the generation of reactive oxygen species (ROS) and oxidative damage to lens proteins and lipids, as well as the impact of Ang II on inflammatory responses and cellular apoptosis. …

Enhancing Heart Disease Prediction With Reinforcement Learning And Data Augmentation, Gayathri R., Sangeetha S. K. B., Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar Mb, Saurav Mallik, Hong Qin

Computer Science Faculty Publications

The study presents a novel method to improve the prediction accuracy of cardiac disease by combining data augmentation techniques with reinforcement learning. The complex nature of cardiac data frequently presents challenges for traditional machine learning models, which results in subpar performance. In response, our fusion methodology improves predictive capabilities by augmenting data and utilizing reinforcement learning's skill at sequential decision-making. Our method predicts cardiac disease with an astounding 94 % accuracy rate, which is an outstanding result. This significant improvement outperforms existing techniques and shows a deeper comprehension of intricate data relationships. The amalgamation of reinforcement learning and data augmentation …

Sccad: Cluster Decomposition-Based Anomaly Detection For Rare Cell Identification In Single-Cell Expression Data, Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong-Dong Li, Jianxin Wang

Computer Science Faculty Publications

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. However, these rare cell types may be overlooked during the clustering phase, posing challenges for their accurate identification. In this paper, we propose a Cluster decomposition-based Anomaly Detection method (scCAD), which iteratively decomposes clusters based on the most differential signals in each cluster to effectively separate …

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Item Generation In The Development Of A Questionnaire For Predicting Multidrug Therapy Compliance In Leprosy, Yulia Siskawati, Sali Rahadi Asih, Aria Kekalih, Sri Linuwih Menaldi, Herqutanto Herqutanto, Kusmarinah Bramono

Journal of General - Procedural Dermatology and Venereology Indonesia

Background: Lengthy therapeutic regimens in leprosy are prone to defaults, contributing to more antibiotic-resistant Mycobacterium. Intervening patients’ medical habits midway would be more complicated than understanding their perception of undergoing such regimens in advance. We study the factors considered relevant to leprosy patients’ compliance to construct a novel self-reporting questionnaire that can predict the patients’ adherence before initiating multidrug therapy.

Methods: According to the Delphi methods, we conducted three rounds of interviews with twenty-three respondents from various backgrounds, including dermatologists, government officials, healthcare workers, and patients with leprosy, to infer the associated factors of the included items. Each …

Massive Upper Gi Bleeding From Duodenal Invasion Of Hepatocellular Carcinoma Successfully Treated With Embolization And Hemospray®, Patrick Twohig, Erin Walsh, Amy Calderon

Graduate Medical Education Research Journal

Direct invasion of hepatocellular carcinoma (HCC) into the duodenum is a unique and life-threatening complication of HCC that has been rarely reported. A 60-year-old male with known HCC and cirrhosis presented with melena. Computed tomography of the abdomen and pelvis showed a 7cm hepatic mass abutting the duodenum. Esophagogastroduodenoscopy demonstrated a large, actively oozing mass in the duodenum treated with Hemospray® followed by transarterial embolization (TAE). Active upper gastrointestinal bleeding due to duodenal invasion of HCC can be successfully treated with Hemospray® Endoscopic Hemostat and TAE.

Prostatic Utricle Presenting As A Midline Scrotal Mass, Kaitlyn E. Schultis, Bryant Van Leeuwen, John Makari

Graduate Medical Education Research Journal

The prostatic utricle is a remnant of the Müllerian duct located within the verumontanum. An enlarged, clinically significant prostatic utricle has classically been associated with hypospadias. Prostatic utricles often present with persistent lower urinary tract symptoms, recurrent infections, and urinary incontinence. We present a prostatic utricle that presented as a scrotal mass concerning for rhabdomyosarcoma in a male with normal external genitalia.

The Effects Of Sex Hormones On The Size Of Intestinal Lipoproteins, Andromeda M. Nauli, Ann Phan, Patrick Tso, Surya M. Nauli

Pharmacy Faculty Articles and Research

Larger intestinal lipoproteins are more likely to be retained longer in the intestinal wall, allowing more time for their fat to be hydrolyzed and subsequently taken up by the abdominal viscera. Since men generally accumulate more abdominal visceral fat than women, we sought to determine if males produce larger intestinal lipoproteins compared to females. Using the conscious lymph fistula mouse model, we discovered that the male mice indeed produced larger intestinal lipoproteins than the female mice when they were intraduodenally infused with lipid emulsion. We then employed our differentiated Caco-2 cell model with semipermeable membrane system to determine the effects …

Parasympathetic Activity And Bronchial Hyperresponsiveness In Athletes, Audrey Badza

The Downtown Review: An Interdisciplinary Journal Written and Peer-Reviewed by Mandel Honors College Students at Cleveland State University

Bronchial hyperresponsiveness (BHR) is a term used to describe the bronchial constriction response to environmental stimuli. BHR is increasingly common in endurance athletes due to increased exposure to some stimuli. The purpose of this review is to evaluate Stang et al.'s (2016) article, "Parasympathetic Activity and Bronchial Hyperresponsiveness in Athletes" and discuss the significance of their results. The results concluded that BHR is related to the parasympathetic activity of the heart rather than the pupils. The study concluded that there is an association between BHR and parasympathetic activity of the heart, methacholine is associated with BHR and cardiac vagal activity, …