Life Sciences Commons^™

Impact Of Intra- And Interfractional Motion On The Dose Distribution And Urinary Adverse Events For Magnetic Resonance-Guided Prostate Cancer Radiotherapy, Shu Xing, Sarah Burleson, Xiao Tan, Qijie Huang, Nima Hassan-Razein, Chengcheng Gui, Ergys Subashi, Himanshu Nagar, Victoria Brennan, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: To evaluate the impact of intra- and interfractional motion on dose distribution and clinical outcome in prostate magnetic resonance (MR)-guided adaptive radiotherapy.

Methods: Seventy-six patients were treated with five-fraction stereotactic radiotherapy on a 1.5 T MR linear accelerator. Cine MR images were acquired during treatment and exported to a motion monitoring research package, to generate motion traces in the anterior-posterior (AP), superior-inferior (SI) and left-right (LR) directions. Planned dose distributions were shifted according to motion trace to reconstruct intrafraction motion-blurred dose. Intrafraction motion-blurred doses were deformably registered to fraction one motion-blurred dose to obtain interfraction accumulated dose. The impact …

Frontotemporal Network Interactions Causally Support Rapid Concreteness Judgments During Reading, Elliot Murphy, Oscar Woolnough, Cale W Morse, Xavier Scherschligt, Nitin Tandon

Faculty, Staff and Student Publications

Neurobiological models of conceptual processing have been limited in spatiotemporal resolution, and uncertainty remains about the causal role of specific regions in concept representation. We utilized intracranial recordings in human neurosurgical patients with epilepsy (n = 19) during a concreteness judgement paradigm of single word reading. Concrete concepts showed greater high-frequency activation across a frontal and ventrotemporal network, while greater activation for abstract words was found in lateral posterior middle temporal cortex. Intercortical communications, measured by high-frequency partial direct coherence, revealed bidirectional frontal and ventral plus lateral temporal interactions. Words occupying the middle range of the concreteness scale (e.g., "profit") …

Trends And Challenges: A 15-Year Review Of Imaging And Radiation Oncology Core Anthropomorphic Phantom Audits For Proton Therapy, Lian Duan, Hunter S Mehrens, Stephen F Kry, Jessica R L Lowenstein, Nadia Hernandez, Lucas B Acuna Scafati, Paige A Taylor

Faculty, Staff and Student Publications

Purpose: This study aims to analyze the trends in institutional performance on Imaging and Radiation Oncology Core (IROC) proton phantoms and to investigate the impact of treatment parameters on proton therapy delivery accuracy.

Materials and methods: We analyzed 402 IROC anthropomorphic phantom audits performed by 57 institutions worldwide between 2009 and 2024, including brain, head and neck (H&N), spine, prostate, lung, and liver phantoms. Dosimetric assessments included thermoluminescent dosimeters (TLDs) for dose comparison and gamma analysis of radiochromic film. The lung and liver phantoms were irradiated with simulated motion. Univariate analysis was performed to evaluate the relationships between treatment parameters …

Selective Deletion Of Fgfr1 In Agrp Neurons Impairs Energy Homeostasis Under High-Fat Diet In Mice, Daniel Shookster, Shea O'Connell, Patel Darshan, Taylor Landry, Wyatt Bunner, Zhiying Jiang, Qingchun Tong, Hu Huang

Faculty, Staff and Student Publications

Background: The global obesity crisis and the limited success of current treatments underscore the need to identify novel regulatory pathways. While central administration of α-Klotho exerts anti-obesity effects in rodents through AgRP neurons, the intracellular signaling mechanisms that mediate this process remain undefined.

Methods: To define the role of FGFR1 within the α-Klotho signaling pathway in AgRP neurons, we performed a targeted deletion of the receptor in adult mice using an AAV-mediated CRISPR/Cas9 system alongside transgenic models.

Results: Deletion of FGFR1 in AgRP neurons disrupted energy homeostasis, promoting weight gain induced by a high-fat diet. Electrophysiological recordings revealed that FGFR1 …

Quantifying Rate-Limiting Genetic Variation In Breast And Ovarian Tumourigenesis, Kathleen E Houlahan, Mahad Bihie, Yves Greatti, Julián Grandvallet Contreras, Daniel J Fulop, Gonzalo Lopez, Marc Williams, Hsin-Hsiung Huang, Peter Van Loo, Paul C Boutros, Kuan-Lin Huang

Faculty, Staff and Student Publications

Background: The number and type of genetic alterations required to initiate breast and ovarian cancer remain unclear. While germline BRCA1/2 carriers show markedly elevated cancer risk, it is uncertain whether point mutations or copy number alterations constitute the rate-limiting events of tumourigenesis.

Methods: We developed a statistical framework extending prior incidence-mutation models to estimate the minimal number and type of driver events required for cancer initiation. Somatic mutation and copy-number data from >3000 breast and ovarian cancers in TCGA and METABRIC were compared between germline BRCA1/2 carriers and non-carriers matched on subtypes. Results were validated through analyses of evolutionary timing …

Cd44v9 As A Therapeutic Target For Antibody-Drug Conjugate In Advanced Breast Cancer, Dileep R Reddy, Mckenna E Flynn, Yasuaki Anami, Zhaoxuan Yang, Jayden Aleman, Minji Seo, Kyoji Tsuchikama, Jennifer A Maynard, Naoto T Ueno, Jangsoon Lee

Faculty, Staff and Student Publications

Antibody-drug conjugates (ADCs) have revolutionized breast cancer therapy. HER2 is the only validated biomarker guiding ADC therapy in breast cancer. However, their clinical benefit remains confined to HER2- and TROP2-targeted therapies. Tumor heterogeneity and acquired resistance often limit durable responses, underscoring the need for novel, tumor-specific ADC targets. CD44 variant isoform 9 (CD44v9), a splice variant of the CD44 family, is largely absent in normal tissues but enriched in aggressive breast cancers, where it contributes to stemness, redox regulation, and therapy resistance. In this study, we developed a chimeric monoclonal antibody against CD44v9 (clone SUM24.1, IgG1) and conjugated it to …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Clinicopathologic And Molecular Characteristics Of High-Grade Appendiceal Mucinous Neoplasms, Ashlee N Seldomridge, Michael G White, Christopher Scally, Richard E Royal, Mark Routbort, Jbryan Iorgulescu, Michael J Overman, Sun Mi Lee, Wai Chin Foo, Melissa W Taggart, Yun Song, Paul F Mansfield, Keith F Fournier, John Paul Shen, Beth A Helmink

Faculty, Staff and Student Publications

Background: Although 2016 consensus guidelines defined high-grade appendiceal mucinous neoplasms (HAMNs) as a distinct histologic entity, their clinical course and optimal management remain poorly characterized. Comparative data with low-grade appendiceal mucinous neoplasms (LAMNs) are limited. This study aims to detail the clinical management and outcomes of patients with HAMN and those with LAMN.

Methods: This retrospective cohort study was conducted at a large academic cancer center. An internal database was queried to identify patients with LAMN or HAMN who underwent appendectomy between 2016 and 2024. Kaplan-Meier survival analyses were used to assess the impact of primary tumor type and peritoneal …

Shiny-Magec: A Bayesian R Shiny Application For Meta-Analysis Of Censored Adverse Events, Zihan Zhou, Zizhong Tian, Christine Peterson, Le Bao, Shouhao Zhou

Faculty, Staff and Student Publications

Accurate assessment of adverse event (AE) incidence is critical in clinical research for drug safety. While meta-analysis serves as an essential tool to comprehensively synthesize the evidence across multiple studies, incomplete AE reporting in clinical trials remains a persistent challenge. In particular, AEs occurring below study-specific reporting thresholds are often omitted from publications, leading to left-censored data. Failure to account for these censored AE counts can result in biased AE incidence estimates. We present an R Shiny application that implements a Bayesian meta-analysis model specifically designed to incorporate censored AE data into the estimation process. This interactive tool provides a …

Defining A Quantitative Threshold For Adaptive Re-Planning Using A Percentile-Based Scoring System, Alexandra O Leone, Christine B Peterson, Anna Lee, Adam S Garden, G Brandon Gunn, Lauren L Mayo, Amy C Moreno, Steven J Frank, C David Fuller, Jay P Reddy, Karen Hoffman, Ivan Vazquez, Ming Yang, Joshua S Niedzielski, Laurence E Court, Thomas J Whitaker

Faculty, Staff and Student Publications

Background: Despite the frequent need for adaptive planning in head and neck proton therapy, no quantitative indicators have been identified to determine when a plan should be adapted. Here, we aimed to determine a quantitative threshold for the change in plan quality between the primary treatment plan and verification plans that correlates with the physician's decision to adapt.

Methods: Primary treatment and verification plans were extracted from the clinical treatment planning system for 167 patients who underwent intensity-modulated proton therapy for base of tongue, tonsillar, or oropharyngeal cancers, with and without nodal involvement, between 2016 and 2021. All plans were …

Optimizing Feasibility And Acceptability Of An Online Expressive Writing Intervention For Survivors Of Adolescent And Young Adult Cancer: A Pilot Randomized Trial Of Iterative Modifications And Outcomes, Eunju Choi, Yusi Aveva Xu, Celia Cy Wong-Meli, Michael E Roth, Yisheng Li, Qian Lu

Faculty, Staff and Student Publications

Objective: To evaluate the feasibility of an online expressive writing (EW) intervention for survivors of adolescent and young adult (AYA) cancer and determine whether iterative, theory-driven modifications can enhance response, adherence, and completion rates.

Methods: In this randomized pilot trial, survivors of AYA cancer were recruited through a hospital-based AYA oncology clinic and an online community. Forty participants were randomly assigned to the EW intervention or control group. To improve on lower-than-expected adherence and completion rates in a previous cohort, the protocol was iteratively revised using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS). Modifications included …

Clemastine Ameliorates Cognitive Deficits In An Experimental Rat Model Of Chronic Cerebral Hypoperfusion, Xuemei Zong, Zhihai Huang, Fanfei Kong, Yu Feng, Yulan Zhang, Peibin Zou, Hung Wen Lin, David C Hess, Quanguang Zhang

Faculty, Staff and Student Publications

Chronic cerebral hypoperfusion (CCH) profoundly affects patient well-being and has been proposed as a risk factor for cognitive impairment and dementia. However, due to the limited understanding of the pathophysiology of CCH, there are currently no effective preventive or therapeutic approaches for CCH-associated cognitive impairment. Therefore, identifying new targets for CCH is essential to bridge this knowledge gap. In this study, we sought to determine whether enhanced myelination could prevent cognitive impairment associated with CCH. Experimental CCH was induced via bilateral common carotid artery occlusion (BCCAO) in rats, and clemastine, a well-established pro-myelinating agent, was administered to boost myelin renewal. …

Tuscan: Tumor Segmentation And Classification Analysis In Spatial Transcriptomics, Chenxuan Zang, Charles C Guo, Yaohong Wang, Peng Wei, Ziyi Li

Faculty, Staff and Student Publications

The identification of tumor cells is pivotal for understanding tumor heterogeneity and the tumor microenvironment. Recent advances in spatially resolved transcriptomics (SRT) have revolutionized the way that transcriptomic profiles are characterized and have enabled the simultaneous quantification of transcript locations in intact tissue samples. SRT is a promising alternative method to study gene expression patterns in spatial domains. Nevertheless, the precise detection of tumor regions within intact tissue remains a great challenge. A common strategy for identifying tumor cells is via tumor-specific marker gene expression signatures, which are highly dependent on marker accuracy. Another effective approach is through aneuploid copy …

Beyond Short Microhomologies: Mismatch-Compatible Pol Θ-Mediated Dna Damage Repair, Yuzhen Li, Richard D Wood

Faculty, Staff and Student Publications

DNA polymerase θ (Pol θ)-mediated end-joining (TMEJ), one of several pathways for repairing DNA double-strand breaks, is traditionally thought to initiate via anchoring at short, consecutive, and perfectly matched microhomologies (MHs). Emerging evidence indicates that Pol θ can utilize MHs containing mismatches both in vitro and in vivo. This revised definition of MH provides a mechanistic explanation for a broader spectrum of Pol θ-dependent repair outcomes. Here, we summarize recent findings on the revised definition of MHs utilized by Pol θ, assess the applicability of this concept across species, and compare TMEJ with other (micro)hom(e)ology-mediated repair pathways. We explore how …

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

A Comprehensive Biomechanical Material Characterization Of The Human Breast Fibro-Structural Support System, Aroj Bhattarai, Gregory P Reece, Kristy K Brock, Krishnaswamy Ravi-Chandar

Faculty, Staff and Student Publications

Breast surgery for aesthetic purposes, such as breast augmentation or breast reduction, and breast reconstruction after cancer treatment require an accurate structural (anatomical) and mechanical (functional) understanding of the breast components, including the fascial-ligamentous support system of the breast, to achieve optimal results. This paper aims to provide a comprehensive description of the mechanical behavior of the ligamentous and fascial connective tissues of the human female breast. Fasciae and ligaments obtained from 17 patients between 35 and 85 years of age who were undergoing mastectomy and three female cadavers were tested. Uniaxial tensile tests were conducted, and three constitutive models …

Fgl2-Knockout Tumor Cells Serve As A Vaccine Inducing Long-Duration Brain-Resident Memory T Cells That Reject Subsequent Intracranial Tumor Cell Challenges, Sheng Zhang, Yining Jin, Zhiliang Jia, Xueqing Xia, Yang Li, Qi Wang, Jing Wang, Jian Wang, Joya Chandra, Gregory K Friedman, Shulin Li

Faculty, Staff and Student Publications

The failure to prevent brain tumors, including both recurrent primary and metastatic brain tumors, is the primary cause of patients' mortality. We developed a novel whole tumor-cell vaccine to rapidly induce long-duration brain-resident memory T (TRM) cells that prevent brain tumor progression. Ten Fgl2-KO primary and metastatic tumor cell lines, generated via CRISPR/Cas9, were used to vaccinate mice and for intracranial challenges with the WT tumor cells. Not only did vaccinated mice reject these tumor cell challenges, but also more than half of these mice became long-duration survivors. Transplanting brain immune cells from vaccinated mice into naïve mice enabled this …

Alpha 7 Nicotinic Acetylcholine Receptor Contributes To Long-Term Cognitive Recovery Following Ischemic Stroke, Dustin T Nguyen, Kate Mendoza, Cassandra Hall, Chunfeng Tan, Anjali Chauhan

Faculty, Staff and Student Publications

Stroke is associated with autonomic dysfunction and reduced acetylcholine (ACh), a neurotransmitter critical for cognition. ACh signals in part through the alpha-7 nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel involved in synaptic plasticity, learning, and memory. Impaired α7nAChR signaling has been linked to heightened neuroinflammation and poor acute stroke recovery. Here, we investigated whether α7nAChR contributes to post-stroke cognitive recovery in young male mice. Wild-type (WT) and α7nAChR knockout (α7n0KO) mice underwent 60-min middle cerebral artery occlusion (MCAO). In a pharmacology cohort, the α7nAChR agonist GTS-21 was administered immediately after reperfusion and then daily for 20 days. Cognitive performance …

Analysis Of Patients With Monocytic And Monocytic-Like Acute Myeloid Leukemia, Including Aml-M4 And Aml-M5, Treated With Venetoclax Plus Azacitidine, Marina Konopleva, Courtney D Dinardo, Yan Sun, Paul Jung, Sanam Loghavi, Jalaja Potluri, Monique Dail, Brenda Chyla, Daniel A Pollyea

Faculty, Staff and Student Publications

No abstract provided.

Intraoperative Ultrasound Imaging Features Guiding Surgical Strategy In Spinal Cord Ependymoma Resection, Esteban Ramirez-Ferrer, Ian E Mccutcheon, Gil Kimchi, Behrang Amini, Romulo Andrade Almeida, Francisco Call-Orellana, Juan Pablo Zuluaga-Garcia, Robert Y North, Christopher A Alvarez-Breckenridge, Jeffrey S Weinberg, Laurence D Rhines, Claudio E Tatsui

Faculty, Staff and Student Publications

Background and objectives: Preoperative imaging provides surgeons with an initial estimate of tumor infiltration and the likelihood of achieving an en-bloc resection in spinal cord ependymomas, yet the definitive decision is made intraoperatively. This study characterizes the intraoperative ultrasound (iUS) features that guide real-time surgical strategy and are associated with successful en-bloc removal.

Methods: A retrospective review of iUS images obtained during resection of spinal cord ependymomas was performed. The presence of a peritumoral halo representing the transition zone between the tumor and the spinal cord, the dorsal sagittal area of the spinal cord overlying the tumoral poles, the presence …

Pharmacokinetic Modeling Strategies For Dynamic Hyperpolarized Urea Imaging, Keith A Michel, Collin J Harlan, Christopher M Walker, Matthew E Merritt, Yunyun Chen, Stephen Y Lai, James A Bankson

Faculty, Staff and Student Publications

Purpose: To evaluate pharmacokinetic modeling methods for quantification of tissue perfusion/permeability with hyperpolarized 13C urea.

Methods: Three models for quantitative analysis of dynamic HP urea imaging data were proposed and evaluated in numerical simulations and a thyroid cancer mouse model. A multicompartment model resembling the extended Tofts model for DCE-MRI (Model I) and two simplified models were used. The simplified models each eliminate a volume parameter representing vascular (Model II) or impermeable cellular space (Model III). Signal curves were generated from Model I, and models were fit to these synthetic data to quantify the effects of acquisition settings, bias in …

Determinants Of Agroecological Practices Adoption In Mango-Based Farming Systems: Evidence From Southern Ethiopia, Fasikaw Belay Mihretu, Melkamu Alemayehu, Mengistie Mossie, Yayeh Bitew, Tadele Tefera

All Peer-Reviewed Publications

Agroecological practices are a promising strategy for improving the productivity of mango-based farming systems sustainably. However, their adoptions among farmers in Ethiopia remain low and inconsistent. Despite their potential benefits, little is known about the extent of adoption, the interdependent nature of these practices, and the determinants associated with the farmers' decisions to adopt multiple agroecological practices. Hence, this investigation explores the determinants associated with the adoption of agroecological practices in mango-based farming systems in southern Ethiopia. The study employed a mixed-methods design using 395 randomly selected households. The multivariate probit and Poisson regression models were used for data analysis. …

Spatial Variability Of Nitrates And Nitrogen Mineralization Kinetics And Their Effects In Long-Term Tillage Systems, Bibash Rokaya

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Nitrogen (N) and water management are essential for water quality protection and crop production. However, soil N and water are spatiotemporally variable. Soil water spatial dependencies are described in the literature with known associations with preferential flows among other factors. In contrast, a knowledge gap exists on the spatial dependence of soil N mineralization kinetics. We hypothesize that soil N mineralization kinetics and soil water have distinct and cross-correlated spatial characteristics among soil management practices and climatic regions. For the field study, we measured soil-N mineralization kinetics, volumetric water content (VWC), and a suite of soil properties along ~70 m …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Profiling The Genomic Landscape And Evolutionary History Of Polyploid Giant Cancer Cells In Undifferentiated Pleomorphic Sarcomas, Amy L Bowes, Sara Waise, Tom Lesluyes, Thomas Butters, Christie English, Haixi Yan, Annelien Verfaillie, Christopher Davies, Jianan Chen, Emma Nye, Richard Stone, Jiten Manji, Adrienne M Flanagan, Jonas Demeulemeester, Maxime Tarabichi, Nischalan Pillay, Peter Van Loo

Faculty, Staff and Student Publications

Polyploid giant cancer cells (PGCCs), characterised by multinucleation and atypical nuclear morphology, are a common feature of undifferentiated pleomorphic sarcomas. While PGCCs may be a critical substrate for cancer evolution, their formation pathways and genomic consequences remain underexplored. In this study, we characterise PGCCs in ten pleomorphic sarcomas and use topographic single-cell DNA sequencing (scDNA-seq) to investigate their genomic landscape. We selected PGCCs based on their nuclear morphology, including mononucleated or multinucleated bizarre, misshapen nuclei, and analysed them at single-cell resolution. Histopathological analysis showed that PGCCs were often randomly distributed throughout the tumour and did not appear in clusters, suggesting …

Profiling The Genomic Landscape And Evolutionary History Of Polyploid Giant Cancer Cells In Undifferentiated Pleomorphic Sarcomas, Amy L Bowes, Sara Waise, Tom Lesluyes, Thomas Butters, Christie English, Haixi Yan, Annelien Verfaillie, Christopher Davies, Jianan Chen, Emma Nye, Richard Stone, Jiten Manji, Adrienne M Flanagan, Jonas Demeulemeester, Maxime Tarabichi, Nischalan Pillay, Peter Van Loo

Faculty, Staff and Student Publications

Polyploid giant cancer cells (PGCCs), characterised by multinucleation and atypical nuclear morphology, are a common feature of undifferentiated pleomorphic sarcomas. While PGCCs may be a critical substrate for cancer evolution, their formation pathways and genomic consequences remain underexplored. In this study, we characterise PGCCs in ten pleomorphic sarcomas and use topographic single-cell DNA sequencing (scDNA-seq) to investigate their genomic landscape. We selected PGCCs based on their nuclear morphology, including mononucleated or multinucleated bizarre, misshapen nuclei, and analysed them at single-cell resolution. Histopathological analysis showed that PGCCs were often randomly distributed throughout the tumour and did not appear in clusters, suggesting …

Prenatal Stress Induces Changes In Behavior, Hpa Axis, Inflammation, And Oxidative Stress In Adult Rats Offspring, Jorge M Aguiar-Geraldo, Jefté Peper-Nascimento, José Henrique Cararo, Taise Possamai-Della, Alexandra I Zugno, Anilkumar Pillai, João Quevedo, Samira S Valvassori

Faculty, Staff and Student Publications

Prenatal stress is related to the development of psychiatric disorders involving inflammation, oxidative stress, and hypothalamic-pituitary-adrenal (HPA) axis. Therefore, the aim of the present study was to evaluate the effects of prenatal stress on behavior, inflammation, oxidative stress, and the HPA-axis in the dams and their offspring treated with lithium. Thirteen pregnant Wistar rats were exposed to a prenatal chronic unpredictable stress protocol from the 14th day of gestation until birth. At the 60th postnatal day (PND), a treatment protocol was carried out in the offspring with lithium (intraperitoneally - 47.5 mg/kg) or saline for seven days (twice a day). …

Physiological And Neurological Impact Of Biophilic Design In Architectural Design Studios: A Case Study Of King Salman International University, Islam Ashraf Mohamed, Alaa El-Eishy, Marwa A. Soliman

Mansoura Engineering Journal

Biophilic design integrates nature into architecture to enrich sensory and cognitive experiences, enhance psychological well-being, and improve performance. This study explores its physiological and neural effects in design studios at King Salman International University through an experimental methodology combining theoretical review and lab-based investigation. Tools included electrocardiography (ECG) for heart rate variability (HRV), eye-tracking for visual attention, and the Self-Assessment Manikin (SAM) for emotional evaluation. Nine participants viewed five digital architectural scenes with varying biophilic integration. Direct nature connections elicited greater visual attention, pleasure, and perceived control, indicating higher engagement and relaxation.  A scene lacking biophilic elements led to reduced …

Optimized Deep Learning Framework With H2o For Lung Cancer Prediction, Walaa Hassan Ibrahim, Mohamed S. Saraya, Sally M. Elghamrawy, Ali I. Eldesouky

Mansoura Engineering Journal

The automatic diagnosis of lung cancer using chest X-ray (CXR) images has significantly advanced with progress in computing, machine learning, and deep learning. However, detecting lesions and nodules remains challenging due to CXR limitations. Early lung cancer detection is critical for successful treatment, but current AI algorithms often rely on large annotated datasets, which are not always available. To address this, a novel multi-classification deep learning framework is proposed that combines CXR and CT images. This approach leverages the detailed feature detection capabilities of CT scans alongside the complementary views from CXRs, improving early-stage lung cancer detection and classification precision. …

Soil Structure And Organic Carbon Dynamics From Agroforestry And Conventional Coffee Systems In A Clayey Oxisol, Helen C.S. Amorium, Franciane D. Cogo, Rodrigo L. Cunha, Carols A. Silva, Amanda Ashworth, Yuri L. Zinn

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Agroforestry systems can enhance C retention in soils, nutrient cycling, and biodiversity, helping offset soil and water degradation commonly associated with monocultures. However, impacts of agroforestry on soil organic carbon and water retention are variable and remain largely understudied for tropical soils and coffee (Coffea arabica L.) systems. This study assessed soil organic C (SOC), soil structure, and particulate organic matter C (POM-C) in a gibbsitic Oxisol under conventional coffee (CC), coffee + macadamia [Macadamia integrifolia Maiden & Betche (CM)] agroforestry, no-till (NT) soybean [Glycine max (L.) Merr.]-corn (Zea mays L.), and a secondary forest succession (SF) as a control. …