Medicine and Health Sciences Commons^™

Non-Coding Rnas In Peritoneal Carcinomatosis: From Bench To Bedside, Julia Bohosova, Nida Sarosh Ashraf, Ondrej Slaby, George A Calin

Faculty, Staff and Student Publications

Peritoneal carcinomatosis represents an advanced stage of tumors within the peritoneal cavity. Once considered an incurable terminal cancer metastasis, contemporary medicine is on the hunt for certain potentially curative options alongside the present day’s palliative disease management. However, for most patients, peritoneal carcinomatosis continues to pose a fatal late-stage prognosis with a grim future outlook. Over the past two decades, non-coding RNAs have garnered significant attention due to their undeniable significance in regulating cellular processes across all levels. Disruption of the intricate regulation led by non-coding RNAs has been demonstrated to have a substantial impact on various human diseases, particularly …

The Icf Syndrome Protein Cdca7 Harbors A Unique Dna Binding Domain That Recognizes A Cpg Dyad In The Context Of A Non-B Dna, Swanand Hardikar, Ren Ren, Zhengzhou Ying, Jujun Zhou, John R Horton, Matthew D Bramble, Bin Liu, Yue Lu, Bigang Liu, Luis Della Coletta, Jianjun Shen, Jiameng Dan, Xing Zhang, Xiaodong Cheng, Taiping Chen

Faculty, Staff and Student Publications

CDCA7, encoding a protein with a carboxyl-terminal cysteine-rich domain (CRD), is mutated in immunodeficiency, centromeric instability, and facial anomalies (ICF) syndrome, a disease related to hypomethylation of juxtacentromeric satellite DNA. How CDCA7 directs DNA methylation to juxtacentromeric regions is unknown. Here, we show that the CDCA7 CRD adopts a unique zinc-binding structure that recognizes a CpG dyad in a non-B DNA formed by two sequence motifs. CDCA7, but not ICF mutants, preferentially binds the non-B DNA with strand-specific CpG hemi-methylation. The unmethylated sequence motif is highly enriched at centromeres of human chromosomes, whereas the methylated motif is distributed throughout …

Metabolite Biomarker Discovery For Lung Cancer Using Machine Learning, Ariski Fajarido, Linda Erlina, Aryo Tedjo, Fadilah Fadilah, Wawaimuli Arozal

Indonesian Journal of Medical Chemistry and Bioinformatics

Lung cancer is the leading cause of cancer death worldwide. About 2.1 million lung cancer patients were diagnosed in 2018, accounting for about 11.6% of all newly diagnosed cancer cases. For lung cancer, blood is the first choice as a source of screening biomarker candidates. Blood biomarkers provide a snapshot of the patient's entire body, including the primary tumor, metastatic disease, immune response, and peritumoral stroma. However, sputum sampling, bronchial lavage or aspiration, exhaled breath (EB), and airway epithelial sampling represent unique samples for lung cancer and other airway cancers as potential sources for alternative biomarkers. Metabolites are products of …

Lung Cell Transplantation For Pulmonary Fibrosis, Irit Milman Krentsis, Yangxi Zheng, Chava Rosen, Sarah Y Shin, Christa Blagdon, Einav Shoshan, Yuan Qi, Jing Wang, Sandeep K Yadav, Esther Bachar Lustig, Elias Shetzen, Burton F Dickey, Harry Karmouty-Quintana, Yair Reisner

Faculty, Staff and Student Publications

Idiopathic pulmonary fibrosis is a major cause of death with few treatment options. Here, we demonstrate the therapeutic efficacy for lung fibrosis of adult lung cell transplantation using a single-cell suspension of the entire lung in two distinct mouse systems: bleomycin treatment and mice lacking telomeric repeat-binding factor 1 expression in alveolar type 2 (AT2) cells (SPC-Cre TRF1fl/fl), spontaneously developing fibrosis. In both models, the progression of fibrosis was associated with reduced levels of host lung progenitors, enabling engraftment of donor progenitors without any additional conditioning, in contrast to our previous studies. Two months after transplantation, engrafted progenitors …

Therapeutic Antisense Oligonucleotides In Oncology: From Bench To Bedside, Elif Çakan, Olivia D Lara, Anna Szymanowska, Emine Bayraktar, Arturo Chavez-Reyes, Gabriel Lopez-Berestein, Paola Amero, Cristian Rodriguez-Aguayo

Faculty, Staff and Student Publications

Advancements in our comprehension of tumor biology and chemoresistance have spurred the development of treatments that precisely target specific molecules within the body. Despite the expanding landscape of therapeutic options, there persists a demand for innovative approaches to address unmet clinical needs. RNA therapeutics have emerged as a promising frontier in this realm, offering novel avenues for intervention such as RNA interference and the utilization of antisense oligonucleotides (ASOs). ASOs represent a versatile class of therapeutics capable of selectively targeting messenger RNAs (mRNAs) and silencing disease-associated proteins, thereby disrupting pathogenic processes at the molecular level. Recent advancements in chemical modification …

Active Learning Pipeline To Identify Candidate Terms For A Cdss Ontology, Xia Jing, Rohan Goli, Keerthana Komatineni, Shailesh Alluri, Nina Hubig, Hua Min, Yang Gong, Dean F Sittig, Paul Biondich, David Robinson, Christian Nøhr, Arild Faxvaag, Adam Wright, Timothy Law, Lior Rennert, Ronald Gimbel

Faculty, Staff and Student Publications

Ontology is essential for achieving health information and information technology application interoperability in the biomedical fields and beyond. Traditionally, ontology construction is carried out manually by human domain experts (HDE). Here, we explore an active learning approach to automatically identify candidate terms from publications, with manual verification later as a part of a deep learning model training and learning process. We introduce the overall architecture of the active learning pipeline and present some preliminary results. This work is a critical and complementary component in addition to manually building the ontology, especially during the long-term maintenance stage.

Perceptions Of Hiv-Related Comorbidities And Usability Of A Virtual Environment For Cardiovascular Disease Prevention Education In Sexual Minority Men With Hiv: Formative Phases Of A Pilot Randomized Controlled Trial, S Raquel Ramos, Harmony Reynolds, Constance Johnson, Gail Melkus, Trace Kershaw, Julian F Thayer, Allison Vorderstrasse

Faculty, Staff and Student Publications

Background: Sexual minority men with HIV are at an increased risk of cardiovascular disease (CVD) and have been underrepresented in behavioral research and clinical trials.

Objective: This study aims to explore perceptions of HIV-related comorbidities and assess the interest in and usability of a virtual environment for CVD prevention education in Black and Latinx sexual minority men with HIV.

Methods: This is a 3-phase pilot behavioral randomized controlled trial. We report on formative phases 1 and 2 that informed virtual environment content and features using qualitative interviews, usability testing, and beta testing with a total of 25 individuals. In phase …

Sexannodb, A Knowledgebase Of Sex-Specific Regulations From Multi-Omics Data Of Human Cancers, Mengyuan Yang, Yuzhou Feng, Jiajia Liu, Hong Wang, Sijia Wu, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Background

Sexual differences across molecular levels profoundly impact cancer biology and outcomes. Patient gender significantly influences drug responses, with divergent reactions between men and women to the same drugs. Despite databases on sex differences in human tissues, understanding regulations of sex disparities in cancer is limited. These resources lack detailed mechanistic studies on sex-biased molecules.

Methods

In this study, we conducted a comprehensive examination of molecular distinctions and regulatory networks across 27 cancer types, delving into sex-biased effects. Our analyses encompassed sex-biased competitive endogenous RNA networks, regulatory networks involving sex-biased RNA binding protein-exon skipping events, sex-biased transcription factor-gene regulatory networks, …

Challenges And Opportunities Of Artificial Intelligence In Cdss And Patient Safety, Yang Gong, Hua Min, Xia Jing, Ping Yu

Faculty, Staff and Student Publications

Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solutions to reduce errors and adverse events. The integration of artificial intelligence (AI) into health IT has revolutionized clinical settings by enabling real-time insights and personalized recommendations. However, the use of health IT can lead to unintended consequences that are not adequately addressed during training and implementation. These consequences can hinder the maximization of benefits and limit equitable access to healthcare. In this paper, we explore the impact of AI on CDSS and health IT, discuss the challenges in educating clinical informaticians, …

Loss Of Symmetric Cell Division Of Apical Neural Progenitors Drives Dennd5a-Related Developmental And Epileptic Encephalopathy, Emily Banks, Vincent Francis, Sheng-Jia Lin, Fares Kharfallah, Vladimir Fonov, Maxime Lévesque, Chanshuai Han, Gopinath Kulasekaran, Marius Tuznik, Armin Bayati, Reem Al-Khater, Fowzan S Alkuraya, Loukas Argyriou, Meisam Babaei, Melanie Bahlo, Behnoosh Bakhshoodeh, Eileen Barr, Lauren Bartik, Mahmoud Bassiony, Miriam Bertrand, Dominique Braun, Rebecca Buchert, Mauro Budetta, Maxime Cadieux-Dion, Daniel G Calame, Heidi Cope, Donna Cushing, Stephanie Efthymiou, Marwa Abd Elmaksoud, Huda G El Said, Tawfiq Froukh, Harinder K Gill, Joseph G Gleeson, Laura Gogoll, Elaine S-Y Goh, Vykuntaraju K Gowda, Tobias B Haack, Mais O Hashem, Stefan Hauser, Trevor L Hoffman, Jacob S Hogue, Akimoto Hosokawa, Henry Houlden, Kevin Huang, Stephanie Huynh, Ehsan G Karimiani, Silke Kaulfuß, G Christoph Korenke, Amy Kritzer, Hane Lee, James R Lupski, Elysa J Marco, Kirsty Mcwalter, Arakel Minassian, Berge A Minassian, David Murphy, Juanita Neira-Fresneda, Hope Northrup, Denis M Nyaga, Barbara Oehl-Jaschkowitz, Matthew Osmond, Richard Person, Davut Pehlivan, Cassidy Petree, Lynette G Sadleir, Carol Saunders, Ludger Schoels, Vandana Shashi, Rebecca C Spillmann, Varunvenkat M Srinivasan, Paria N Torbati, Tulay Tos, Maha S Zaki, Dihong Zhou, Christiane Zweier, Jean-François Trempe, Thomas M Durcan, Ziv Gan-Or, Massimo Avoli, Cesar Alves, Gaurav K Varshney, Reza Maroofian, David A Rudko, Peter S Mcpherson

Faculty, Staff and Student Publications

Developmental and epileptic encephalopathies (DEEs) feature altered brain development, developmental delay and seizures, with seizures exacerbating developmental delay. Here we identify a cohort with biallelic variants in DENND5A, encoding a membrane trafficking protein, and develop animal models with phenotypes like the human syndrome. We demonstrate that DENND5A interacts with Pals1/MUPP1, components of the Crumbs apical polarity complex required for symmetrical division of neural progenitor cells. Human induced pluripotent stem cells lacking DENND5A fail to undergo symmetric cell division with an inherent propensity to differentiate into neurons. These phenotypes result from misalignment of the mitotic spindle in apical neural progenitors. Cells …

The Dna Repair Pathway As A Therapeutic Target To Synergize With Trastuzumab Deruxtecan In Her2-Targeted Antibody-Drug Conjugate-Resistant Her2-Overexpressing Breast Cancer, Jangsoon Lee, Kumiko Kida, Jiwon Koh, Huey Liu, Ganiraju C Manyam, Young Jin Gi, Dileep R Rampa, Asha S Multani, Jing Wang, Gitanjali Jayachandran, Dae-Won Lee, James M Reuben, Aysegul Sahin, Lei Huo, Debu Tripathy, Seock-Ah Im, Naoto T Ueno

Faculty, Staff and Student Publications

Background: Anti-HER2 therapies, including the HER2 antibody-drug conjugates (ADCs) trastuzumab emtansine (T-DM1) and trastuzumab deruxtecan (T-DXd), have led to improved survival outcomes in patients with HER2-overexpressing (HER2+) metastatic breast cancer. However, intrinsic or acquired resistance to anti-HER2-based therapies remains a clinical challenge in these patients, as there is no standard of care following disease progression. The purpose of this study was to elucidate the mechanisms of resistance to T-DM1 and T-DXd in HER2+ BC patients and preclinical models and identify targets whose inhibition enhances the antitumor activity of T-DXd in HER2-directed ADC-resistant HER2+ breast cancer in vitro and in vivo. …

Transcriptome Profiling Of Pediatric Extracranial Solid Tumors And Lymphomas Enables Rapid Low-Cost Diagnostic Classification, Kofi B Opoku, Teresa Santiago, Priya Kumar, Sophia M Roush, Yuri Fedoriw, Tamiwe Tomoka, Vasiliki Leventaki, Larissa V Furtado, Nickhill Bhakta, Thomas B Alexander, Jeremy R Wang

Faculty, Staff and Student Publications

Approximately 80% of pediatric tumors occur in low- and middle-income countries (LMIC), where diagnostic tools essential for treatment decisions are often unavailable or incomplete. Development of cost-effective molecular diagnostics will help bridge the cancer diagnostic gap and ultimately improve pediatric cancer outcomes in LMIC settings. We investigated the feasibility of using nanopore whole transcriptome sequencing on formalin-fixed paraffin embedded (FFPE)-derived RNA and a composite machine learning model for pediatric solid tumor diagnosis. Transcriptome cDNA sequencing was performed on a heterogenous set of 221 FFPE and 32 fresh frozen pediatric solid tumor and lymphoma specimens on Oxford Nanopore Technologies' sequencing platforms. …

Analysis Of Serum Exosome Metabolites Identifies Potential Biomarkers For Human Hepatocellular Carcinoma, Tingting Zhao, Yan Liang, Xiaolan Zhen, Hong Wang, Li Song, Didi Xing, Hui Li

Faculty, Staff and Student Publications

Currently, the clinical cure rate for primary liver cancer remains low. Effective screening and early diagnosis of hepatocellular carcinoma (HCC) remain clinical challenges. Exosomes are intimately associated with tumor development and their contents have the potential to serve as highly sensitive tumor-specific markers. A comprehensive untargeted metabolomics study was conducted using exosome samples extracted from the serum of 48 subjects (36 HCC patients and 12 healthy controls) via a commercial kit. An ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) strategy was used to identify the metabolic compounds. A total of 18 differential metabolites were identified using the non-targeted metabolomics approach of UPLC-QTOF-MS/MS. …

Clinical And Genomic-Based Decision Support System To Define The Optimal Timing Of Allogeneic Hematopoietic Stem-Cell Transplantation In Patients With Myelodysplastic Syndromes, Cristina Astrid Tentori, Caterina Gregorio, Marie Robin, Nico Gagelmann, Carmelo Gurnari, Somedeb Ball, Juan Carlos Caballero Berrocal, Luca Lanino, Saverio D'Amico, Marta Spreafico, Giulia Maggioni, Erica Travaglino, Elisabetta Sauta, Manja Meggendorfer, Lin-Pierre Zhao, Alessia Campagna, Victor Savevski, Armando Santoro, Najla Al Ali, David Sallman, Francesc Sole, Guillermo Garcia-Manero, Ulrich Germing, Nicolaus Kroger, Shahram Kordasti, Valeria Santini, Guillermo Sanz, Wolfgang Kern, Uwe Platzbecker, Maria Diez-Campelo, Jaroslaw P Maciejewski, Lionel Ades, Pierre Fenaux, Torsten Haferlach, Amer M Zeidan, Gastone Castellani, Rami Komrokji, Francesca Ieva, Matteo Giovanni Della Porta, Genomed4all And Synthema Consortiums

Faculty, Staff and Student Publications

Purpose: Allogeneic hematopoietic stem-cell transplantation (HSCT) is the only potentially curative treatment for patients with myelodysplastic syndromes (MDS). Several issues must be considered when evaluating the benefits and risks of HSCT for patients with MDS, with the timing of transplantation being a crucial question. Here, we aimed to develop and validate a decision support system to define the optimal timing of HSCT for patients with MDS on the basis of clinical and genomic information as provided by the Molecular International Prognostic Scoring System (IPSS-M).

Patients and methods: We studied a retrospective population of 7,118 patients, stratified into training and validation …

Impacts Of Interleukin-10 Promoter Genotypes On Prostate Cancer, Yu-Ting Chin, Chung-Lin Tsai, Hung-Huan Ma, Da-Chuan Cheng, Chia-Wen Tsai, Yun-Chi Wang, Hou-Yu Shih, Shu-Yu Chang, Jian Gu, Wen-Shin Chang, Da-Tian Bau

Faculty, Staff and Student Publications

Prostate cancer (PCa) is a multifactorial disease influenced by genetic, environmental, and immunological factors. Genetic polymorphisms in the interleukin-10 (IL-10) gene have been implicated in PCa susceptibility, development, and progression. This study aims to assess the contributions of three IL-10 promoter single nucleotide polymorphisms (SNPs), A-1082G (rs1800896), T-819C (rs3021097), and A-592C (rs1800872), to the risk of PCa in Taiwan. The three IL-10 genotypes were determined using PCR-RFLP methodology and were evaluated for their contributions to PCa risk among 218 PCa patients and 436 non-PCa controls. None of the three IL-10 SNPs were significantly associated with the risks of …

Association Of Social Determinants, Lifestyle, And Metabolic Factors With Mortality In Chinese Adults: A Nationwide 10-Year Prospective Cohort Study, Jieli Lu, Mian Li, Jiang He, Yu Xu, Ruizhi Zheng, Jie Zheng, Guijun Qin, Yingfen Qin, Yuhong Chen, Xulei Tang, Zhen Ye, Min Xu, Tiange Wang, Lixin Shi, Qing Su, Xuefeng Yu, Li Yan, Zhiyun Zhao, Qin Wan, Gang Chen, Zhengnan Gao, Guixia Wang, Feixia Shen, Xuejiang Gu, Zuojie Luo, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Hong Qiao, Yinfei Zhang, Tianshu Zeng, Chunyan Hu, Qiuyu Cao, Xiaojing Jia, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Hongyan Qi, Xueyan Wu, Di Zhang, Meng Dai, Donghui Li, Shenghan Lai, Lulu Chen, Jiajun Zhao, Yiming Mu, Weiguo Hu, Guang Ning, Ruying Hu, Yufang Bi, Weiqing Wang, 4c Study Group

Faculty, Staff and Student Publications

Nationwide estimates of the impact of common modifiable risk factors on mortality remain crucial. We aim to assess the influence of social determinants, lifestyle, and metabolic factors on mortality in 174,004 adults aged ≥40 years from the China Cardiometabolic Disease and Cancer Cohort (4C) Study. We reveal that 17 modifiable factors are independently associated with mortality, accounting for 64.8% of all-cause mortality, 77.4% of cardiovascular mortality, and 44.8% of cancer mortality. Low education emerges as the leading factor for both all-cause and cancer mortality, while hypertension is predominant for cardiovascular mortality. Moreover, low gross domestic product per capita and high …

Effect Of The Implementation Of A Multiple-Behavior Self-Monitoring Intervention On Dietary Intake In Type 2 Diabetes: Secondary Data Analysis, Jisook Ko, Jing Wang, Ngozi Mbue, Susan Schembre, Stanley Cron

Faculty, Staff and Student Publications

Background: An electronic diary embedded in a mobile device to monitor lifestyle can be as effective as traditional methods. However, the efficacy of self-monitoring multiple behaviors for dietary intake has not been well studied in people with diabetes.

Objective: This study aimed to compare the effect of using technology-assisted self-monitoring versus paper diaries on changes in dietary intake.

Methods: This is a secondary analysis of data collected from 39 people with type 2 diabetes as part of a 3-month pilot clinical trial. Changes in energy intake and the contribution of total fat intake and total carbohydrate intake to total calories …

Cutaneous Squamous Cell Carcinoma Of The Head And Neck: Pathological Features And What They Mean For Prognosis And Treatment, Uma Ramesh, Elizabeth Chiang, Haleigh Stafford, Jane Buell, Frank Materia, Moran Amit, Dan Yaniv

Faculty, Staff and Student Publications

Simple Summary

Cutaneous squamous cell carcinoma (cSCC) of the head and neck, although treatable, can be highly aggressive. Certain pathological features of cSCC can drastically impact prognosis. Therefore, the presence of a few such features is considered in both staging and treating cSCC. In this review, we summarize the current literature regarding pathological prognostic indicators of cSCC, including depth of invasion, surgical margins, perineural invasion, lymphovascular invasion, extranodal extension, tumor grade, tumor subtype, premalignant lesions, and molecular markers. Furthermore, we characterize the impact of each indicator on clinical outcomes of head and neck cSCC, their role in dictating adjuvant therapy …

Trim44 Enhances Autophagy Via Sqstm1 Oligomerization In Response To Oxidative Stress, Yuqin Wang, Lin Lyu, Trung Vu, Nami Mccarty

Faculty, Staff and Student Publications

The deubiquitinase tripartite motif containing 44 (TRIM44) plays a critical role in linking the proteotoxic stress response with autophagic degradation, which is significant in the context of cancer and neurological diseases. Although TRIM44 is recognized as a prognostic marker in various cancers, the complex molecular mechanisms through which it facilitates autophagic degradation, particularly under oxidative stress conditions, have not been fully explored. In this study, we demonstrate that TRIM44 significantly enhances autophagy in response to oxidative stress, reducing cytotoxicity in cancer cells treated with arsenic trioxide. Our research emphasizes the critical role of the posttranslational modification of sequestosome-1 (SQSTM1) and …

Injectable, Reversibly Thermoresponsive Captopril-Laden Hydrogel For The Local Treatment Of Sensory Loss In Diabetic Neuropathy, Amit Chandra Das, James M Nichols, Caitlin V Crelli, Lu Liu, Riddhi Vichare, Hoang Vu Pham, Caitlyn M Gaffney, Fisher R Cherry, Peter M Grace, Andrew J Shepherd, Jelena M Janjic

Faculty, Staff and Student Publications

A major and irreversible complication of diabetes is diabetic peripheral neuropathy (DPN), which can lead to significant disability and decreased quality of life. Prior work demonstrates the peptide hormone Angiotensin II (Ang II) is released locally in neuropathy and drives inflammation and impaired endoneurial blood flow. Therefore, we proposed that by utilizing a local thermoresponsive hydrogel injection, we could deliver inhibitors of angiotensin-converting enzyme (ACE) to suppress Ang II production and reduce nerve dysfunction in DPN through local drug release. The ACE inhibitor captopril was encapsulated into a micelle, which was then embedded into a reversibly thermoresponsive pluronics-based hydrogel matrix. …

Monitoring Response To Neoadjuvant Chemotherapy In Triple Negative Breast Cancer Using Circulating Tumor Dna, Jennifer H Chen, Sridevi Addanki, Dhruvajyoti Roy, Roland Bassett, Ekaterina Kalashnikova, Erik Spickard, Henry M Kuerer, Salyna Meas, Vanessa N Sarli, Anil Korkut, Jason B White, Gaiane M Rauch, Debu Tripathy, Banu K Arun, Carlos H Barcenas, Clinton Yam, Himanshu Sethi, Angel A Rodriguez, Minetta C Liu, Stacy L Moulder, Anthony Lucci

Faculty, Staff and Student Publications

BACKGROUND: Triple negative breast cancer (TNBC) is an aggressive subtype with poor prognosis. We aimed to determine whether circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) could predict response and long-term outcomes to neoadjuvant chemotherapy (NAC).

METHODS: Patients with TNBC were enrolled between 2017-2021 at The University of Texas MD Anderson Cancer Center (Houston, TX). Serial plasma samples were collected at four timepoints: pre-NAC (baseline), 12-weeks after NAC (mid-NAC), after NAC/prior to surgery (post-NAC), and one-year after surgery. ctDNA was quantified using a tumor-informed ctDNA assay (Signatera

RESULTS: In total, 37 patients were enrolled. The mean age was 50 …

In Vitro Antibacterial, Antibiofilm Activities, And Phytochemical Properties Of Posidonia Oceanica (L) Delile: An Endemic Mediterranean Seagrass, Ertugrul Ozbil, Mehmet Ilktac, Sultan Ogmen, Ovgu Isbilen, Jesus M Duran Ramirez, Jana Gomez, Jennifer N Walker, Ender Volkan

Faculty, Staff and Student Publications

In the antibiotic resistance era, utilizing understudied sources for novel antimicrobials or antivirulence agents can provide new advances against antimicrobial resistant pathogens. In this study, we aimed to investigate antibacterial and antibiofilm activities of Posidonia oceanica (L.) Delile against Enterococcus faecalis ATCC 29212, Staphylococcus aureus ATCC 25923, Escherichia coli ATCC 25922 and Klebsiella pneumoniae ATCC 700603 and several S. aureus clinical isolates obtained from medical devices, including patient urinary catheters and breast implant infections, with varying antibiotic recalcitrance profiles. The ethanolic and methanolic extracts from P. oceanica rhizome exhibited significant antibacterial activity against E. faecalis and S. aureus, as well …

Hematopoietic Growth Factors Regulate The Entry Of Monocytes Into The Adult Brain Via Chemokine Receptor Ccr5, Xuefang Sophie Ren, Junchi He, Songruo Li, Heng Hu, Michele Kyle, Shinichi Kohsaka, Li-Ru Zhao

Faculty, Staff and Student Publications

Monocytes are circulating macrophage precursors generated from bone marrow hematopoietic stem cells. In adults, monocytes continuously replenish cerebral border-associated macrophages under physiological conditions. Monocytes also rapidly infiltrate the brain in pathological settings. The mechanisms of recruiting monocyte-derived macrophages into the brain under pathological conditions have been extensively studied. However, it remains unclear how monocytes enter the brain to renew border-associated macrophages under physiological conditions. Using both in vitro and in vivo approaches, this study reveals that a combination of two hematopoietic growth factors, stem cell factor (SCF) and granulocyte colony-stimulating factor (G-CSF), complementarily and synergistically enhances the adhesion of monocytes …

Affinity Purification Mass Spectrometry Characterisation Of The Interactome Of Receptor Tyrosine Kinase Proline-Rich Motifs In Cancer, Christopher M Jones, Arndt Rohwedder, Kin Man Suen, Safoura Zahed Mohajerani, Antonio N Calabrese, Sabine Knipp, Mark T Bedford, John E Ladbury

Faculty, Staff and Student Publications

Receptor tyrosine kinase (RTK) overexpression is linked to the development and progression of multiple cancers. RTKs are classically considered to initiate cytoplasmic signalling pathways via ligand-induced tyrosine phosphorylation, however recent evidence points to a second tier of signalling contingent on interactions mediated by the proline-rich motif (PRM) regions of non-activated RTKs. The presence of PRMs on the C-termini of >40 % of all RTKs and the abundance of PRM-binding proteins encoded by the human genome suggests that there is likely to be a large number of previously unexplored interactions which add to the RTK intracellular interactome. Here, we explore the …

Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, And Artificial Intelligence To Interrogate The Metabolic Evolution Of Glioblastoma, Kang Lin Hsieh, Qing Chen, Travis C Salzillo, Jian Zhang, Xiaoqian Jiang, Pratip K Bhattacharya, Shyan Shams

Faculty, Staff and Student Publications

Glioblastoma (GBM) is a malignant Grade VI cancer type with a median survival duration of only 8-16 months. Earlier detection of GBM could enable more effective treatment. Hyperpolarized magnetic resonance spectroscopy (HPMRS) could detect GBM earlier than conventional anatomical MRI in glioblastoma murine models. We further investigated whether artificial intelligence (A.I.) could detect GBM earlier than HPMRS. We developed a deep learning model that combines multiple modalities of cancer data to predict tumor progression, assess treatment effects, and to reconstruct in vivo metabolomic information from ex vivo data. Our model can detect GBM progression two weeks earlier than conventional MRIs …

Hybridizing Mechanistic Modeling And Deep Learning For Personalized Survival Prediction After Immune Checkpoint Inhibitor Immunotherapy, Joseph D Butner, Prashant Dogra, Caroline Chung, Eugene J Koay, James W Welsh, David S Hong, Vittorio Cristini, Zhihui Wang

Faculty, Staff and Student Publications

We present a study where predictive mechanistic modeling is combined with deep learning methods to predict individual patient survival probabilities under immune checkpoint inhibitor (ICI) immunotherapy. This hybrid approach enables prediction based on both measures that are calculable from mechanistic models of key mechanisms underlying ICI therapy that may not be directly measurable in the clinic and easily measurable quantities or patient characteristics that are not always readily incorporated into predictive mechanistic models. A deep learning time-to-event predictive model trained on a hybrid mechanistic + clinical data set from 93 patients achieved higher per-patient predictive accuracy based on event-time concordance, …

Regulatory Complexity Of Cellular Differentiation In Candida Albicans Revealed Through Systematic Screening Of Protein Kinase Mutants, Michael C Lorenz

Faculty, Staff and Student Publications

A recent study in mBio reports the construction and preliminary screening of a library containing mutants of 99 of the 119 predicted protein kinases in Candida albicans (the majority of the remaining 20 are probably essential) (J. Kramara, M.-J. Kim, T. L. Ollinger, L. C. Ristow, et al., mBio e01249-24, 2024, https://doi.org/10.1128/mbio.01249-24). Using a quantitative competition assay in 10 conditions that represent nutritional, osmotic, cell wall, and pH stresses that are considered to model various aspects of the host environment allowed them to phenotypically cluster kinases, which highlight both the integration and specialization of signaling pathways, suggesting novel functions …

Role Of The Antiparallel Double-Stranded Filament Form Of Ftsa In Activating The Escherichia Coli Divisome, Abbigale Perkins, Mwidy Sava Mounange-Badimi, William Margolin

Faculty, Staff and Student Publications

The actin-like FtsA protein is essential for function of the cell division machinery, or divisome, in many bacteria including Escherichia coli. Previous in vitro studies demonstrated that purified wild-type FtsA assembles into closed mini-rings on lipid membranes, but oligomeric variants of FtsA such as FtsAR286W and FtsAG50E can bypass certain divisome defects and form arc and double-stranded (DS) oligomeric states, respectively, which may reflect conversion of an inactive to an active form of FtsA. However, it remains unproven which oligomeric forms of FtsA are responsible for assembling and activating the divisome. Here, we used an in vivo crosslinking assay …

Persistence Of Daptomycin-Resistant And Vancomycin-Resistant Enterococci In Hospitalized Patients With Underlying Malignancies: A 7-Year Follow-Up Study, Lynn El Haddad, Georgios Angelidakis, Yuting Zhai, Layale Yaghi, Cesar A Arias, Samuel A Shelburne, Kwangcheol Casey Jeong, Roy F Chemaly

Faculty, Staff and Student Publications

Vancomycin-resistant enterococci (VRE) commonly colonize the gut of individuals with hematologic malignancies or undergoing hematopoietic cell transplant (HCT) and may cause bacteremia. In 2012, we identified VRE isolates from patients and patients' rooms and showed transmission networks of highly genetically related daptomycin-resistant (DR)-VRE strains. This is a follow-up study performing whole-genome sequencing (WGS) and phylogenetic analyses on 82 clinical VRE strains isolated from stools and blood cultures of patients with leukemia and HCT between 2015 and 2019. Here, we observed transmission of highly genetically related strains between rooms on the same or on different floors, including a DR-VRE strain identified …

A Comparative Analysis Of The Immunoglobulin Repertoire In Leukemia Cells And B Cells In Chinese Acute Myeloid Leukemia By High-Throughput Sequencing, Huige Yan, Lina Wu, Pingzhang Wang, Miaoran Xia, Zhan Shi, Xinmei Huang, Sha Yin, Qian Jiang, C Cameron Yin, Xiangyu Zhao, Xiaoyan Qiu

Faculty, Staff and Student Publications

It is common knowledge that immunoglobulin (Ig) is produced by B lymphocytes and mainly functions as an antibody. However, it has been shown recently that myeloblasts from acute myeloid leukemia (AML) could also express Ig and that AML-Ig played a role in leukemogenesis and AML progression. The difference between Ig from myeloblasts and B cells has not been explored. Studying the characteristics of the Ig repertoire in myeloblasts and B cells will be helpful to understand the function and significance of AML-Ig. We performed 5' RACE-related PCR coupled with PacBio sequencing to analyze the Ig repertoire in myeloblasts and B …