Medicine and Health Sciences Commons^™

Chronic Stress-Induced Neuroinflammation: Relevance Of Rodent Models To Human Disease., Abigail G White, Elias Elias, Andrea Orozco, Shivon A Robinson, Melissa T Manners

Faculty Scholarship for the College of Science & Mathematics

The brain is the central organ of adaptation to stress because it perceives and determines threats that induce behavioral, physiological, and molecular responses. In humans, chronic stress manifests as an enduring consistent feeling of pressure and being overwhelmed for an extended duration. This can result in a persistent proinflammatory response in the peripheral and central nervous system (CNS), resulting in cellular, physiological, and behavioral effects. Compounding stressors may increase the risk of chronic-stress-induced inflammation, which can yield serious health consequences, including mental health disorders. This review summarizes the current knowledge surrounding the neuroinflammatory response in rodent models of chronic stress-a …

Interest In An Instagram-Delivered Gestational Weight Gain Intervention Among Pregnant Women With Pre-Pregnancy Overweight Or Obesity, Molly E. Waring, Danielle Arigo, Lauren R. Rudin, Sherry L. Pogoto, Tiffany A. Moore Simas, Alexa B. Horkachuck

Faculty Scholarship for the College of Science & Mathematics

Background: Barriers to attending in-person lifestyle interventions are common during pregnancy. The majority of young adults use Instagram, and pregnancy-related content abounds on this social media platform. The aims of this study were to assess interest in an Instagram-delivered gestational weight gain (GWG) intervention, examine characteristics associated with program interest, describe interest in specific program components, and to explore perceived advantages of and concerns about the proposed intervention. Methods: English-speaking pregnant women with pre-pregnancy overweight or obesity in the US who use Instagram completed a cross-sectional online survey (N=229). Participants reported interest in a proposed Instagram-delivered GWG intervention (very/quite a …

Computational Study Of Binding Of Oseltamivir To Neuraminidase Mutants Of Influenza A Virus, Muhammad Arba, Sri Wahyuli, Setyanto Tri Wahyudi, Amir Karton, Chun Wu

Faculty Scholarship for the College of Science & Mathematics

Oseltamivir (OTV), which targets the neuraminidase (NA) of Influenza A virus (IAV), has been reported to develop resistance. Here, we performed a computational study on the binding modes of OTV in the wild-type and popular mutants of IAV NA (E119A, E119D, E119G, H274Y, I117T, I117V, I117V-E119A, K150N, N294S, R292K, V116A, and Y252H). The Arg118, Glu119, Asp151, Arg152, Glu276, Arg292, and Arg371 were identified as crucial interacting residues with the drug. The energy decomposition analysis showed that with few exceptions, the dispersion interaction is the dominant interaction, followed by the charge-transfer and polarization interactions. The affinities for OTV were greatly reduced …

Women’S Comfort With Mobile Applications For Menstrual Cycle Self-Monitoring Following The Overturning Of Roe V. Wade, Gabrielle M. Salvatore, Iris Bercovitz, Danielle Arigo

Faculty Scholarship for the College of Science & Mathematics

Background: The overturning of Roe v. Wade in June 2022 has many implications for American women of reproductive age, as well as for researchers focused on women’s health in the United States (U.S.). Personal reproductive health data, such as information collected by menstrual cycle (MC) tracking applications (apps), can now be bought, sold, or accessed by law enforcement to enforce limits on abortion. American women have grown concerned about data privacy and have even deleted MC tracking apps following the overturning of Roe v. Wade. This concern is problematic as these apps may advance our understanding of women’s MC experiences …

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

Faculty Scholarship for the College of Science & Mathematics

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

Impacts Of Hydrophobic Mismatch On Antimicrobial Peptide Efficacy And Bilayer Permeabilization., Steven Meier, Zachary M Ridgway, Angela L Picciano, Gregory A. Caputo

Faculty Scholarship for the College of Science & Mathematics

Antimicrobial resistance continues to be a major threat to world health, with the continued emergence of resistant bacterial strains. Antimicrobial peptides have emerged as an attractive option for the development of novel antimicrobial compounds in part due to their ubiquity in nature and the general lack of resistance development to this class of molecules. In this work, we analyzed the antimicrobial peptide C18G and several truncated forms for efficacy and the underlying mechanistic effects of the sequence truncation. The peptides were screened for antimicrobial efficacy against several standard laboratory strains, and further analyzed using fluorescence spectroscopy to evaluate binding to …

Development Of Antibacterial Neural Stimulation Electrodes Via Hierarchical Surface Restructuring And Atomic Layer Deposition., Henna Khosla, Wesley Seche, Daniel Ammerman, Sahar Elyahoodayan, Gregory A. Caputo, Jeffrey Hettinger, Shahram Amini, Gang Feng

Faculty Scholarship for the College of Science & Mathematics

Miniaturization and electrochemical performance enhancement of electrodes and microelectrode arrays in emerging long-term implantable neural stimulation devices improves specificity, functionality, and performance of these devices. However, surgical site and post-implantation infections are amongst the most devastating complications after surgical procedures and implantations. Additionally, with the increased use of antibiotics, the threat of antibiotic resistance is significant and is increasingly being recognized as a global problem. Therefore, the need for alternative strategies to eliminate post-implantation infections and reduce antibiotic use has led to the development of medical devices with antibacterial properties. In this work, we report on the development of electrochemically …

"You Get What You Need When You Need It": A Mixed Methods Examination Of The Feasibility And Acceptability Of A Tailored Digital Tool To Promote Physical Activity Among Women In Midlife., Danielle Arigo, Jonathan Mathias Lassiter, Kiri Baga, Daija A Jackson, Andrea Lobo, Timothy C Guetterman

Faculty Scholarship for the College of Science & Mathematics

During midlife (ages 40-60), women experience myriad changes that elevate their risk for cardiovascular disease (CVD), including decreased physical activity (PA). Women cite lack of social support for PA and lack of active peers who can serve as role models as key barriers. Digital tools such as web applications can provide exposure to these social inputs; they are also accessible in daily life and require modest time investment. However, as few tools have been designed to meet the unique needs of women in midlife with CVD risk, our research team previously built a web application that is tailored for this …

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

Faculty Scholarship for the College of Science & Mathematics

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

Probing The Activation Mechanisms Of Agonist Dpi-287 To Delta-Opioid Receptor And Novel Agonists Using Ensemble-Based Virtual Screening With Molecular Dynamics Simulations., Emily Dean, Annemarie Dominique, Americus Palillero, Annie Tran, Nicholas Paradis, Chun Wu

Faculty Scholarship for the College of Science & Mathematics

Pain drugs targeting mu-opioid receptors face major addiction problems that have caused an epidemic. The delta-opioid receptor (DOR) has shown to not cause addictive effects when bound to an agonist. While the active conformation of the DOR in complex with agonist DPI-287 has been recently solved, there are still no FDA-approved agonists targeting it, providing the opportunity for structure-based virtual screening. In this study, the conformational plasticity of the DOR was probed using molecular dynamics (MD) simulations, identifying two representative conformations from clustering analysis. The two MD conformations as well as the crystal conformation of DOR were used to screen …

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

Faculty Scholarship for the College of Science & Mathematics

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

Developing A Game (Inner Dragon) Within A Leading Smartphone App For Smoking Cessation: Design And Feasibility Evaluation Study., Justin S White, Marie K Salem, Séverine Toussaert, J Lee Westmaas, Bethany Raiff, David Crane, Edward Warrender, Courtney Lyles, Lorien Abroms, Johannes Thrul

Faculty Scholarship for the College of Science & Mathematics

BACKGROUND: Several stand-alone smartphone apps have used serious games to provide an engaging approach to quitting smoking. So far, the uptake of these games has been modest, and the evidence base for their efficacy in promoting smoking cessation is still evolving. The feasibility of integrating a game into a popular smoking cessation app is unclear.

OBJECTIVE: The aim of this paper was to describe the design and iterative development of the Inner Dragon game within Smoke Free, a smartphone app with proven efficacy, and the results of a single-arm feasibility trial as part of a broad program that seeks to …

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

Faculty Scholarship for the College of Science & Mathematics

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

Debunking Old Evolution Theories, Proposing New One (Near Neutral Balanced Selection Theory/Nnbst) Using Sars Cov 2 Genomic Data, Chun Wu

Faculty Scholarship for the College of Science & Mathematics

The COVID 19 pandemic has caused 672 million infections and 6 million deaths understanding the molecular evolution of this virus is critical to ending this pandemic • The SARS CoV 2 genome exhibits a time independent, constant genomic substitution rate ( despite increasing vaccinations and infected human cases (Figure 1 A) • Out of the three main evolutionary theories S electionist Theory/ST, Kimura’s Neutral Theory/KNT, Ohta’s Nearly Neutral Theory/ONNT), the SARS CoV 2 GSR seemingly follows KNT but this does not explain the critical intervention by vaccines and therapeutic drugs on the evolution of this virus I n this study …

Past, Present, And A Glance Into The Future Of Multiple Myeloma Treatment., Weam Othman Elbezanti, Kishore B Challagundla, Subash C. Jonnalagadda, Tulin Budak-Alpdogan, Manoj K Pandey

Faculty Scholarship for the College of Science & Mathematics

Multiple myeloma (MM) is a challenging hematological cancer which typically grows in bone marrow. MM accounts for 10% of hematological malignancies and 1.8% of cancers. The recent treatment strategies have significantly improved progression-free survival for MM patients in the last decade; however, a relapse for most MM patients is inevitable. In this review we discuss current treatment, important pathways for proliferation, survival, immune suppression, and resistance that could be targeted for future treatments.

Selection Of And Response To Physical Activity-Based Social Comparisons In A Digital Environment: Series Of Daily Assessment Studies., Danielle Arigo, Robert C Gray, Diane H Dallal, Jennifer Villareale, Jichen Zhu

Faculty Scholarship for the College of Science & Mathematics

BACKGROUND: Innovative approaches are needed to understand barriers to and facilitators of physical activity among insufficiently active adults. Although social comparison processes (ie, self-evaluations relative to others) are often used to motivate physical activity in digital environments, user preferences and responses to comparison information are poorly understood.

OBJECTIVE: We used an iterative approach to better understand users' selection of comparison targets, how they interacted with their selected targets, and how they responded to these targets.

METHODS: Across 3 studies, different samples of insufficiently active college students used the Fitbit system (Fitbit LLC) to track their steps per day as well …

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

Faculty Scholarship for the College of Science & Mathematics

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

Discovering New Potential Inhibitors To Sars-Cov-2 Rna Dependent Rna Polymerase (Rdrp) Using High Throughput Virtual Screening And Molecular Dynamics Simulations., Dylan Brunt, Phillip M Lakernick, Chun Wu

Faculty Scholarship for the College of Science & Mathematics

RNA dependent RNA polymerase (RdRp), is an essential in the RNA replication within the life cycle of the severely acute respiratory coronavirus-2 (SARS-CoV-2), causing the deadly respiratory induced sickness COVID-19. Remdesivir is a prodrug that has seen some success in inhibiting this enzyme, however there is still the pressing need for effective alternatives. In this study, we present the discovery of four non-nucleoside small molecules that bind favorably to SARS-CoV-2 RdRp over the active form of the popular drug remdesivir (RTP) and adenosine triphosphate (ATP) by utilizing high-throughput virtual screening (HTVS) against the vast ZINC compound database coupled with extensive …

Clinical Decision Support For Intervention Reduction In Neonatal Patients: A Usability Assessment, Patrice Dolhonde Tremoulet

Faculty Scholarship for the College of Science & Mathematics

Objective This study investigated how effectively simplified cognitive walkthroughs, performed independently by four nonclinical researchers, can be used to assess the usability of clinical decision support software. It also helped illuminate the types of usability issues in clinical decision support software tools that cognitive walkthroughs can identify. Method A human factors professor and three research assistants each conducted an independent cognitive walkthrough of a web-based demonstration version of T3, a physiologic monitoring system featuring a new clinical decision support software tool called MAnagement Application (MAP). They accessed the demo on personal computers in their homes and used it to walk …

Antiviral Drug Development: Targeted Design And Broad Spectrum Approach, Claude Krummenacher

Faculty Scholarship for the College of Science & Mathematics

No abstract provided.

Characterization Of Gut Microbiome And Metabolome In Helicobacter Pylori Patients In An Underprivileged Community In The United States, Brian White, John D Sterrett, Zoya Grigoryan, Lauren Lally, Jared D Heinze, Hyder Alikhan, Christopher A Lowry, Lark Perez, Joshua Desipio, Sangita Phadtare

Faculty Scholarship for the College of Science & Mathematics

Background: Helicobacter pylori (H. pylori), a bacterium that infects approximately half of the world's population, is associated with various gastrointestinal diseases, including peptic ulcers, non-ulcer dyspepsia, gastric adenocarcinoma, and gastric lymphoma. As the burden of antibiotic resistance increases, the need for new adjunct therapies designed to facilitate H. pylori eradication and reduce negative distal outcomes associated with infection has become more pressing. Characterization of the interactions between H. pylori, the fecal microbiome, and fecal fatty acid metabolism, as well as the mechanisms underlying these interactions, may offer new therapeutic approaches. Aim: To characterize the gut microbiome and metabolome in H. …

Acceptability And Effectiveness Of A Novel Cycling Training On The Parkinsonian Motor And Psychiatric Symptoms In Individuals With Schizophrenia: A Pilot Study., Mehmet Uygur, Thomas J. Dinzeo

Faculty Scholarship for the College of Science & Mathematics

BACKGROUND: Recent evidence suggests that high-speed, low-resistance stationary cycling training (termed as speedwork) alleviates motor symptoms in people with Parkinson's disease. Similar motor symptoms commonly exist in people with schizophrenia (Sz); however, they were neglected in the previous literature.

OBJECTIVES: Our objective was to evaluate if speedwork could also be used as a strategy to improve parkinsonian motor symptoms in Sz. We aimed 1) to evaluate the adherence and acceptability of speedwork in Sz, 2) to assess test-retest reliability of the motor assessments that are novel to Sz research, 3) to evaluate the effectiveness of speedwork in improving parkinsonian motor, …

Assessment Of Sport Nutrition Knowledge, Dietary Practices, And Sources Of Nutrition Information In Ncaa Division Iii Collegiate Athletes., Dylan J. Klein, Kaitlyn M Eck, Alan J Walker, Joseph K Pellegrino, Daniel J Freidenreich

Faculty Scholarship for the College of Science & Mathematics

Nutrition knowledge is a critical component of meeting sport nutrition guidelines. The present study aimed to evaluate the sport nutrition knowledge of National Collegiate Athletic Association (NCAA) Division III (DIII) athletes using a validated questionnaire, and to assess the dietary practices and sources of nutrition information in this population. A total of 331 student-athletes (

Mcl-1 Inhibition: Managing Malignancy In Multiple Myeloma., Omar Al-Odat, Max Von Suskil, Robert Chitren, Weam Elbezanti, Sandeep Srivastava, Tulin Budak-Alpddogan, Subash C. Jonnalagadda, Bharat Aggarwal, Manoj Pandey

Faculty Scholarship for the College of Science & Mathematics

Multiple myeloma (MM) is a plasma cells neoplasm. The overexpression of Bcl-2 family proteins, particularly myeloid cell leukemia 1 (Mcl-1), plays a critical role in the pathogenesis of MM. The overexpression of Mcl-1 is associated with drug resistance and overall poor prognosis of MM. Thus, inhibition of the Mcl-1 protein considered as a therapeutic strategy to kill the myeloma cells. Over the last decade, the development of selective Mcl-1 inhibitors has seen remarkable advancement. This review presents the critical role of Mcl-1 in the progression of MM, the most prominent BH3 mimetic and semi-BH3 mimetic that selectively inhibit Mcl-1, and …

Usability Of Electronic Health Record-Generated Discharge Summaries: Heuristic Evaluation., Patrice Dolhonde Tremoulet, Priyanka D Shah, Alisha A Acosta, Christian W Grant, Jon T Kurtz, Peter Mounas, Michael Kirchhoff, Elizabeth Wade

Faculty Scholarship for the College of Science & Mathematics

BACKGROUND: Obtaining accurate clinical information about recent acute care visits is extremely important for outpatient providers. However, documents used to communicate this information are often difficult to use. This puts patients at risk of adverse events. Elderly patients who are seen by more providers and have more care transitions are especially vulnerable.

OBJECTIVE: This study aimed to (1) identify the information about elderly patients' recent acute care visits needed to coordinate their care, (2) use this information to assess discharge summaries, and (3) provide recommendations to help improve the quality of electronic health record (EHR)-generated discharge summaries, thereby increasing patient …

Role Of Antizyme Inhibitor Proteins In Cancers And Beyond, Venella Tulluri, Venkatesh V. Nemmara

Faculty Scholarship for the College of Science & Mathematics

Polyamines are multivalent organic cations essential for many cellular functions, including cell growth, differentiation, and proliferation. However, elevated polyamine levels are associated with a slew of pathological conditions, including multiple cancers. Intracellular polyamine levels are primarily controlled by the autoregulatory circuit comprising two different protein types, Antizymes (OAZ) and Antizyme Inhibitors (AZIN), which regulate the activity of the polyamine biosynthetic enzyme ornithine decarboxylase (ODC). While OAZ functions to decrease the intracellular polyamine levels by inhibiting ODC activity and exerting a negative control of polyamine uptake, AZIN operates to increase intracellular polyamine levels by binding and sequestering OAZ to relieve ODC …

Synergistic Interactions Of Ionic Liquids And Antimicrobials Improve Drug Efficacy., Daniel D Yang, Nicholas J Paterna, Alexandria S Senetra, Kaitlyn R Casey, Phillip D Trieu, Gregory A. Caputo, Timothy Vaden, Benjamin Carone

Faculty Scholarship for the College of Science & Mathematics

Combinations of ionic liquids (ILs) with antimicrobial compounds have been shown to produce synergistic activities in model liposomes. In this study, imidazolium chloride-based ILs with alkyl tail length variations are combined with commercially available, small-molecule antimicrobials to examine the potential for combinatorial and synergistic antimicrobial effects on P. aeruginosa, E. coli, S. aureus, and S. cerevisiae. The effects of these treatments in a human cell culture model indicate the cytotoxic limits of ILs paired with antimicrobials. The analysis of these ILs demonstrates that the length of the alkyl chain on the IL molecule is proportional to both antimicrobial activity and …

The Measurement Of Strength In Children: Is The Peak Value Truly Maximal?, H. Ozake, T. Abe, Scott J. Dankel, J. P. Loenneke, T. Natsume, P. Deng, H. Naito

Faculty Scholarship for the College of Science & Mathematics

It is unclear whether the measurement of maximum muscle strength in younger children can be performed accurately due to factors such as motivation and maturity (i.e., the ability to receive instruction). If there is a large change in a ratio between muscular strength and size from the youngest to the oldest, then this might provide some indication that the youngest may not have been able to voluntarily activate their muscles for reasons mentioned previously. The purpose of this study was to observe the ratio between handgrip strength (HGS) and forearm muscle thickness (MT) across differing ages in younger children. A …

Synthesis, In Vitro, And In Vivo Evaluation Of Novel N-Phenylindazolyl Diarylureas As Potential Anti-Cancer Agents., Lucas N Solano, Grady L Nelson, Conor T Ronayne, Shirisha Jonnalagadda, Sravan K Jonnalagadda, Kaija Kottke, Robert Chitren, Joseph L Johnson, Manoj K Pandey, Subash C. Jonnalagadda, Venkatram R Mereddy

Faculty Scholarship for the College of Science & Mathematics

Novel N-phenylindazole based diarylureas have been designed, synthesized and evaluated as potential anticancer agents. In vitro cell viability studies of these derivatives illustrate good potency with IC50 values in the range of 0.4–50 μM in several cancer cell lines including murine metastatic breast cancer 4T1, murine glioblastoma GL261, human triple negative breast cancer MDA-MB-231, human pancreatic cancer MIAPaCa-2, and human colorectal cancer cell line WiDr. The ester group in the lead compound 8i was modified to incorporate amino-amides to increase solubility and stability while retaining biological activity. Further in vitro studies reveal that lead candidates inhibit tube length in HUVEC …

Nucleic Acid Delivery With Α-Tocopherol-Polyethyleneimine-Polyethylene Glycol Nanocarrier System., A K M Nawshad Hossian, Seetharama D Jois, Subash C. Jonnalagadda, George Mattheolabakis

Faculty Scholarship for the College of Science & Mathematics

Purpose: Nucleic acid-based therapies are a promising therapeutic tool. The major obstacle in their clinical translation is their efficient delivery to the desired tissue. We developed a novel nanosized delivery system composed of conjugates of α-tocopherol, polyethyleneimine, and polyethylene glycol (TPP) to deliver nucleic acids.

Methods: We synthesized a panel of TPP molecules using different molecular weights of PEG and PEI and analyzed with various analytical approaches. The optimized version of TPP (TPP

Results: Through a panel of synthesized molecules, TPP

Conclusion: These results indicate that we successfully synthesized the TPP