Life Sciences Commons^™

Development Of Nanomaterial-Based Electrochemical Detection Devices For Point-Of-Care Testing, Khageephun Permpoka

Chulalongkorn University Theses and Dissertations (Chula ETD)

Electrochemical detection aligns with the REASSURED criteria established by the World Health Organization. Nanomaterials also play a crucial role in enhancing detection performance. Therefore, this research integrates nanomaterials into the development of pointof-care testing (POCT) devices for detecting prostate cancer biomarkers and monitoring wound infection status. Timely diagnosis can significantly reduce the physical burden of illness, ease pressure on healthcare systems, and lessen the broader socioeconomic impact. The first part of the research involves the development of a paper-based analytical device for detecting the enzyme myeloperoxidase (MPO). Glucose oxidase (GOx) was immobilized on paper to produce hydrogen peroxide (H2O2 ), …

The Role Of Ferroptosis In Cholangiocarcinoma, Apiwit Sae-Fung

Chulalongkorn University Theses and Dissertations (Chula ETD)

Cholangiocarcinoma (CCA) is a highly heterogeneous and aggressive malignancy of the bile ducts, characterized by a poor prognosis and high mortality rate. Despite advancements in treatment, effective targeted therapies and reliable prognostic biomarkers remain limited. Ferroptosis, a regulated form of cell death, has emerged as a potential therapeutic target in various cancers. However, its role in CCA remains poorly understood. In this study, we conducted a comprehensive analysis of ferroptosis-related genes (FRGs) to predict the prognosis of CCA and identify potential therapeutic targets. Using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis on a training dataset, followed …

Rheological Study Of Plant-Based High Proteintexture-Modified Supplement For Dysphagia, Varanya Techasukthavorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis contains 5 chapters: an introduction, three study sections, and a conclusion. Chapter 1 highlights the rationale and significance of studying dysphagic drinks through rheology. It introduces new high-protein, plant-based formulations and literature review of hydrocolloid studies for dysphagia management, utilizing both shear and extensional rheology to explore fluid behavior during swallowing. Chapter 2 presents the first study, which developed six high-protein soy-based supplement formulations for dysphagia management with varying caloric densities. Formulations with higher caloric densities than 1.5 kcal/mL showed increased viscosity and visual cohesiveness, making them suitable for extensional flow analysis. Increasing caloric density is an effective …

Application Of Mycelia Inoculum Of Ectomycorrhizal Fungus Astraeus Odoratus For Dry Dipterocarp Forest Restoration And Inoculum Development By Mycelial Entrapment With Calcium Alginate, Yanisa Punsung

Chulalongkorn University Theses and Dissertations (Chula ETD)

Dry Dipterocarp Forests (DDFs) in Thailand face severe degradation, primarily from human-induced fires, which significantly diminishes ectomycorrhizal (ECM) fungal diversity and the productivity of valuable wild mushrooms, such as Astraeus odoratus. However, concrete guidelines for restoring ECM fungal diversity in these degraded areas are currently lacking. This research aimed to develop a sustainable approach to enhance ECM fungal diversity and facilitate the restoration of degraded DDFs by utilizing A. odoratus mycelia. Furthermore, we developed alginate-encapsulated A. odoratus mycelial beads to extend inoculum viability and applicability. The study was conducted at two degraded DDF sites: Ban Kor Thung and Ban Mae …

Machine Learning To Predict Outcome Of Inulin Supplementation In Children And Adolescent Obesity From Gut Microbiome Profile And Clinical Factors, Vitavat Aksornkitti

Chulalongkorn University Theses and Dissertations (Chula ETD)

Obesity is a non-communicable disease that arises from multiple factors, including lifestyle behaviors, dietary habits, and genetics. Despite the growing prevalence of obesity, traditional interventions such as increased physical activity and changes in diet and lifestyle often fail to achieve sustainable, long-term weight loss. Therefore, more effective strategies are needed to address this condition. Recent studies have highlighted the role of gut microbiota in obesity, illustrating that the obesogenic effects are transferable via fecal microbiota transplantation. However, research in this area has been limited, particularly among children in developing countries such as Thailand. Early studies have shown that variations in …

The Use Of Large Language Models To Accelerate Literature Review Towards Digital Health Equity And Inclusiveness, Taylor B Harrison, Dian Hu, Sunyang Fu, Hongfang Liu

Faculty, Staff and Student Publications

Digital health technologies (DHTs) have revolutionized clinical trials, offering unprecedented opportunities to streamline processes, enhance patient engagement, and improve data quality. Growing technology device and broadband access are contributing to the increasing number of DHT-enabled trials. Ideally, DHTs have the potential to make clinical research more inclusive and diverse. However, while the variety in digital technologies and implementations present a strong display of healthcare innovation, major challenges arise concerning DHT generalizability and translation into real-world medical practice. In this study, we report our efforts in accelerating the literature review process related to the use of DHTs in randomized controlled trials …

Editorial: Ai/Ml In Pharmacovigilance And Pharmacoepidemiology, Wen Zou, Pantelis Natsiavas, Assaf Gottlieb

Faculty, Staff and Student Publications

No abstract provided.

Large Language Models Struggle In Token-Level Clinical Named Entity Recognition, Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu

Faculty, Staff and Student Publications

Large Language Models (LLMs) have revolutionized various sectors, including healthcare where they are employed in diverse applications. Their utility is particularly significant in the context of rare diseases, where data scarcity, complexity, and specificity pose considerable challenges. In the clinical domain, Named Entity Recognition (NER) stands out as an essential task and it plays a crucial role in extracting relevant information from clinical texts. Despite the promise of LLMs, current research mostly concentrates on document-level NER, identifying entities in a more general context across entire documents, without extracting their precise location. Additionally, efforts have been directed towards adapting ChatGPTfor token-level …

Erratum: Toward Standardization, Harmonization, And Integration Of Social Determinants Of Health Data: A Texas Clinical And Translational Science Award Institutions Collaboration - Corrigendum, Catherine K Craven, Linda Highfield, Mujeeb Basit, Elmer V Bernstam, Byeong Yeob Choi, Robert L Ferrer, Jonathan A Gelfond, Sandi L Pruitt, Vaishnavi Kannan, Paula K Shireman, Heidi Spratt, Kayla J Torres Morales, Chen-Pin Wang, Zhan Wang, Meredith N Zozus, Edward C Sankary, Susanne Schmidt

Faculty, Staff and Student Publications

This corrects the article "Toward standardization, harmonization, and integration of social determinants of health data: A Texas Clinical and Translational Science Award institutions collaboration" in volume 8, e17.

Linking Artificial Sweetener Intake With Kidney Function: Insights From Nhanes 2003-2006 And Findings From Mendelian Randomization Research, Zhuoling Ran, Yuxuan Zheng, Lin Yu, Yuxian Zhang, Zhenjiang Zhang, Huijie Li, Xuhan Li, Jing Song, Li Zhang, Ran Zhang, Chang Lu, Yang Gong, Jian Gong

Faculty, Staff and Student Publications

BACKGROUND: The current investigation examines the association between artificial sweetener (AS) consumption and the likelihood of developing chronic kidney disease (CKD), along with its impact on kidney function.

METHODS: We utilized data from the National Health and Nutrition Examination Survey from 2003-2006 to conduct covariance analysis and weighted adjusted logistic regression, aiming to assess the association between artificial sweetener intake and CKD risk, as well as kidney function indicators. Subsequently, we employed Mendelian randomization methods to validate the causal relationship between the intake of artificial sweeteners, CKD risk, and kidney function indicators. Instrumental variable analysis using inverse-variance weighting and Robust …

Siglec15, Negatively Correlated With Pd-L1 In Hcc, Could Induce Cd8+ T Cell Apoptosis To Promote Immune Evasion, Zheng Chen, Mincheng Yu, Bo Zhang, Lei Jin, Qiang Yu, Shuang Liu, Binghai Zhou, Jiuliang Yan, Wentao Zhang, Xiaoqiang Li, Yongfeng Xu, Yongsheng Xiao, Jian Zhou, Jia Fan, Mien-Chie Hung, Qinghai Ye, Hui Li, Lei Guo

Faculty, Staff and Student Publications

Functional roles of SIGLEC15 in hepatocellular carcinoma (HCC) were not clear, which was recently found to be an immune inhibitor with similar structure of inhibitory B7 family members. SIGLEC15 expression in HCC was explored in public databases and further examined by PCR analysis. SIGLEC15 and PD-L1 expression patterns were examined in HCC samples through immunohistochemistry. SIGLEC15 expression was knocked-down or over-expressed in HCC cell lines, and CCK8 tests were used to examine cell proliferative ability in vitro. Influences of SIGLEC15 expression on tumor growth were examined in immune deficient and immunocompetent mice respectively. Co-culture system of HCC cell lines and …

Modernizing And Harmonizing Regulatory Data Requirements For Genetically Modified Crops-Perspectives From A Workshop, Nicholas P Storer, Abigail R Simmons, Jordan Sottosanto, Jennifer A Anderson, Ming Hua Huang, Debbie Mahadeo, Carey A Mathesius, Mitscheli Sanches Da Rocha, Shuang Song, Ewa Urbanczyk-Wochniak

Faculty, Staff and Student Publications

Genetically modified (GM) crops that have been engineered to express transgenes have been in commercial use since 1995 and are annually grown on 200 million hectares globally. These crops have provided documented benefits to food security, rural economies, and the environment, with no substantiated case of food, feed, or environmental harm attributable to cultivation or consumption. Despite this extensive history of advantages and safety, the level of regulatory scrutiny has continually increased, placing undue burdens on regulators, developers, and society, while reinforcing consumer distrust of the technology. CropLife International held a workshop at the 16th International Society of Biosafety Research …

Vagus Nerve Stimulation For The Therapy Of Dravet Syndrome: A Systematic Review And Meta-Analysis, Shuang Chen, Man Li, Ming Huang

Faculty, Staff and Student Publications

OBJECTIVE: Dravet syndrome (DS) is a refractory developmental and epileptic encephalopathy characterized by seizures, developmental delay and cognitive impairment with a variety of comorbidities, including autism-like behavior, speech dysfunction, and ataxia. Vagus nerve stimulation (VNS) is one of the common therapies for DS. Here, we aim to perform a meta-analysis and systematic review of the efficacy of VNS in DS patients.

METHODS: We systematically searched four databases (PubMed, Embase, Cochrane and CNKI) to identify potentially eligible studies from their inception to January 2024. These studies provided the effective rate of VNS in treating patients with DS. The proportions of DS …

Sequencing Conversational Turns In Peer Interactions: An Integrated Approach For Evidence-Based Conversational Agent For Just-In-Time Nicotine Cravings Intervention, Tavleen Singh, Michael Truong, Kirk Roberts, Sahiti Myneni

Faculty, Staff and Student Publications

BACKGROUND: Risky health behaviors place an enormous toll on public health systems. While relapse prevention support is integrated with most behavior modification programs, the results are suboptimal. Recent advances in artificial intelligence (AI) applications provide us with unique opportunities to develop just-in-time adaptive behavior change solutions.

METHODS: In this study, we present an innovative framework, grounded in behavioral theory, and enhanced with social media sequencing and communications scenario builder to architect a conversational agent (CA) specialized in the prevention of relapses in the context of tobacco cessation. We modeled peer interaction data (n = 1000) using the taxonomy of behavior …

Linking Cancer Clinical Trials To Their Result Publications, Evan Pan, Kirk Roberts

Faculty, Staff and Student Publications

The results of clinical trials are a valuable source of evidence for researchers, policy makers, and healthcare professionals. However, online trial registries do not always contain links to the publications that report on their results, instead requiring a time-consuming manual search. Here, we explored the application of pre-trained transformer-based language models to automatically identify result-reporting publications of cancer clinical trials by computing dense vectors and performing semantic search. Models were fine-tuned on text data from trial registry fields and article metadata using a contrastive learning approach. The best performing model was PubMedBERT, which achieved a mean average precision of 0.592 …

Community Scientist Program Provides Bi-Directional Communication And Co-Learning Between Researchers And Community Members, Jessica Alvarado, Larkin L Strong, Birnur Buzcu-Guven, Leonetta B Thompson, Erica Cantu, Chelsea C Carrier, Chiamaka D Chukwu, Cassandra L Harris, Luz K Melendez, Crystal L Roberson, Angela M Ross, Sophia C Russell, Pablo Sanchez, Amirali Tahanan, Blair C Zdenek, Belinda M Reininger, Lorna H Mcneill

Faculty, Staff and Student Publications

Community involvement in research is key to translating science into practice, and new approaches to engaging community members in research design and implementation are needed. The Community Scientist Program, established at the MD Anderson Cancer Center in Houston in 2018 and expanded to two other Texas institutions in 2021, provides researchers with rapid feedback from community members on study feasibility and design, cultural appropriateness, participant recruitment, and research implementation. This paper aims to describe the Community Scientist Program and assess Community Scientists' and researchers' satisfaction with the program. We present the analysis of the data collected from 116 Community Scientists …

Effect Of S-Ketamine On Postoperative Nausea And Vomiting In Patients Undergoing Video-Assisted Thoracic Surgery: A Randomized Controlled Trial, Yu Qi, Meiyan Zhou, Wenting Zheng, Yaqi Dong, Weihua Li, Long Wang, Haijun Xu, Miao Zhang, Dunpeng Yang, Liwei Wang, Hai Zhou

Faculty, Staff and Student Publications

PURPOSE: Postoperative nausea and vomiting (PONV) frequently occur in patients after surgery. In this study, the authors investigated whether perioperative S-ketamine infusion could decrease the incidence of PONV in patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy.

PATIENTS AND METHODS: This prospective, randomized, double-blinded, controlled study was conducted a total of 420 patients from September 2021 to May 2023 at Xuzhou Central Hospital in China, who underwent elective VATS lobectomy under general anesthesia with tracheal intubation. The patients were randomly assigned to either the S-ketamine group or the control group. The S-ketamine group received a bolus injection of 0.5 mg/kg S-ketamine …

Descriptor:Benchmarking Secure Neural Network Evaluation Methods For Protein Sequence Classification (Idash24), Arif Harmanci, Luyao Chen, Miran Kim, Xiaoqian Jiang

Faculty, Staff and Student Publications

To uniformly test and benchmark the secure evaluation of transformer-based models, we designed the iDASH24 homomorphic encryption track dataset. The dataset comprises a protein family classification model with a transformer architecture and an example dataset that is used to build and test the secure evaluation strategies. This dataset was used in the challenge period of iDASH24 Genomic Privacy Competition, where the teams designed secure evaluation of the classification model using a homomorphic encryption scheme. Combined with the benchmarking results and companion methods, iDASH24 dataset is a unique resource that can be used to benchmark secure evaluation of neural network models.

A Transformer-Based Deep Learning Approach For Fairly Predicting Post-Liver Transplant Risk Factors, Can Li, Xiaoqian Jiang, Kai Zhang

Faculty, Staff and Student Publications

Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There are two main challenges in liver transplant: finding the best matching patient for a donor and ensuring transplant equity among different subpopulations. The current MELD scoring system evaluates a patient's mortality risk if not receiving an organ within 90 days. However, the donor-patient matching should also consider post-transplant risk factors, such as cardiovascular disease, chronic rejection, etc., which are all common complications after transplant. Accurate prediction of these risk scores remains a significant challenge. In this study, we used predictive models to solve the above challenges. Specifically, …

Transdisciplinary Perspectives For Health Systems Science, Jiang Bian, Nan Liu, Shauna M Overgaard, Rema Padman, Peter A D Steel, Victoria Tiase, Clifford Alan Whitcomb, Jiajie Zhang, Yiye Zhang

Faculty, Staff and Student Publications

Health systems science uses systems thinking as part of a transdisciplinary approach that transcends traditional disciplinary boundaries. It integrates and synthesizes knowledge from multiple disciplines to address real-world problems in healthcare with pragmatic solutions. This editorial defines health systems from the perspectives of systems thinking, science, and engineering, discusses their current challenges and opportunities, and envisions how health systems science as a field can advance the continuous learning and improvement of health systems.

Identifying Genomic Data Sources From Biomedical Literature, Xu Zuo, Ashley Gilliam, Yan Hu, Kalpana Raja, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

Genomic research is becoming increasingly data-intensive, yet the proper reference of data remains a persistent challenge. Despite various efforts to establish and standardize data citation practices, scientists frequently fall short of accurately referencing data in their papers. This deficiency complicates the attribution of contributions to data providers and impedes the reproducibility of findings in genomic research. This study addresses this gap by introducing a gold standard corpus designed to identify mentions of genomic data sources and associated attributes, thereby offering insights into data source availability and accessibility. Within this corpus, we categorize entities into six classes, encompassing three primary entities …

Dissecting The Shared Genetic Architecture Between Alzheimer’S Disease And Frailty: A Cross-Trait Meta-Analyses Of Genome-Wide Association Studies, Nitesh Enduru, Brisa S Fernandes, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Frailty is the most common medical condition affecting the aging population, and its prevalence increases in the population aged 65 or more. Frailty is commonly diagnosed using the frailty index (FI) or frailty phenotype (FP) assessments. Observational studies have indicated the association of frailty with Alzheimer's disease (AD). However, the shared genetic and biological mechanism of these comorbidity has not been studied.

Methods: To assess the genetic relationship between AD and frailty, we examined it at single nucleotide polymorphism (SNP), gene, and pathway levels.

Results: Overall, 16 genome-wide significant loci (15 unique loci) (p meta-analysis < 5 × 10-8) and 22 genes (21 unique genes) were identified between AD and frailty using cross-trait meta-analysis. The 8 shared loci implicated 11 genes: CLRN1-AS1, CRHR1 …

Contrastive Learning With Transformer For Adverse Endpoint Prediction In Patients On Dapt Post-Coronary Stent Implantation, Fang Li, Zenan Sun, Ahmed Abdelhameed, Tiehang Duan, Laila Rasmy, Xinyue Hu, Jianping He, Yifang Dang, Jingna Feng, Jianfu Li, Yichen Wang, Tianchen Lyu, Naomi Braun, Si Pham, Michael Gharacholou, Delisa Fairweather, Degui Zhi, Jiang Bian, Cui Tao

Faculty, Staff and Student Publications

Background: Effective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events. Traditional prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predictive accuracy within predetermined timeframes. This study introduces a new contrastive learning-based approach to enhance prediction efficacy over multiple time intervals.

Methods: We utilized retrospective, real-world data from the OneFlorida + Clinical Research Consortium. Our study focused on two primary endpoints: ischemic and bleeding events, with prediction windows of 1, 2, 3, 6, and 12 months post-DES implantation. Our approach first …

ความสัมพันธ์ของผลผลิตการประมงจับในอ่าวไทยกับความแปรปรวนของสภาพภูมิอากาศ, วิธวินท์ พลลาภานันท์

Chulalongkorn University Theses and Dissertations (Chula ETD)

การบริหารจัดการทรัพยากรประมงในประเทศไทยยังคงเผชิญกับความท้าทาย แม้จะมีมาตรการกำกับดูแลที่เข้มงวด ทว่าผลผลิตทางการประมงยังคงแสดงความแปรปรวนสูงในแต่ละปี ซึ่งสะท้อนถึงอิทธิพลของปัจจัยแวดล้อมที่ซับซ้อนเหนือกว่าการควบคุมโดยมนุษย์ ปรากฏการณ์สมุทรศาสตร์ขนาดใหญ่ เช่น Pacific Decadal Oscillation (PDO), Indian Ocean Dipole (IOD), เอลนีโญ และลานีญา มีบทบาทสำคัญในการกำหนดโครงสร้างของระบบนิเวศทางทะเล อย่างไรก็ตาม นอกจากปัจจัยทางธรรมชาติแล้ว กิจกรรมของมนุษย์ถือเป็นองค์ประกอบที่อาจส่งผลกระทบต่อประชากรสัตว์น้ำในระยะยาว เช่นกัน งานวิจัยนี้มุ่งเน้นการวิเคราะห์ความแปรปรวนของผลผลิตประมงโดยใช้ ค่าปริมาณการจับสัตว์น้ำต่อหน่วยการลงแรงประมง (CPUE) และปริมาณการจับขึ้นท่า (Landing Catch) ในการศึกษาความสัมพันธ์ระหว่างปรากฎการณ์การเปลี่ยนแปลงทางภูมิอากาศและความชุกชุมของประชากรปลา โดยใช้ Non-Metric Multi-Dimensional Scaling (NMDS) ผลการศึกษาพบว่า PDO มีความสัมพันธ์เชิงสถิติที่มีนัยสำคัญ (P = 0.004) กับปริมาณการจับปลาผิวน้ำในอ่าวไทยตอนบน นอกจากนี้ การวิเคราะห์ความสัมพันธ์เชิงสหสัมพันธ์ระหว่างดัชนี Oceanic Niño Index (ONI) และผลผลิตปลาทูเผยให้เห็นแนวโน้มเชิงลบที่มีนัยสำคัญ ขณะที่ค่าเฉลี่ยและค่ามัธยฐานของ Demersal CPUE ในอ่าวไทยตอนบนมีแนวโน้มเพิ่มขึ้นในช่วงของวงจร PDO ที่มีอุณหภูมิต่ำและในช่วงลานีญา (P < 0.001) ข้อค้นพบเหล่านี้ตอกย้ำถึงความสำคัญของปัจจัยสิ่งแวดล้อมที่ส่งผลต่อผลผลิตประมง และชี้ถึงความจำเป็นในการบูรณาการข้อมูลสมุทรศาสตร์และภูมิอากาศในการวางแผนบริหารจัดการ เพื่อประเมินแนวโน้มผลผลิตได้แม่นยำและกำหนดนโยบายที่ยืดหยุ่นต่อการเปลี่ยนแปลงของสิ่งแวดล้อมทะเล โดยงานวิจัยนี้ช่วยเพิ่มองค์ความรู้เกี่ยวกับผลกระทบของการเปลี่ยนแปลงภูมิอากาศต่อการประมงในประเทศไทย สนับสนุนการวางแผนใช้ประโยชน์ทรัพยากรอย่างยั่งยืนและการออกแบบมาตรการปรับตัวในระยะยาว

Antioxidant And Anticancer Activity Prediction Of Diphenylamine Derivatives Using Qsar-Ml And Qm Approaches, Ayokanmi Joseph Aremu

Chulalongkorn University Theses and Dissertations (Chula ETD)

Diphenylamine (DPA) derivatives are multifunctional compounds with potential applications as antioxidants in polymer materials and as antitumor agents targeting microtubule dynamics. This study employed an integrated computational approach combining machine learning-based Quantitative Structure–Activity Relationship (QSAR) modeling, quantum chemical calculations, molecular docking, and molecular dynamics (MD) simulations to guide the rational design and activity prediction of novel DPA derivatives. Molecular descriptors were generated and selected using advanced feature selection techniques, including permutation importance and Genetic Function Approximation (GFA). Gradient Boosting Regressor (GBR) models demonstrated excellent predictive performance for both antioxidant activity (R² = 0.983, RMSE = 0.642) and cytotoxicity against HT29 …

Designing Sars-Cov-2 Main Protease Inhibitors Using Machine Learning In Computer-Aided Drug Design, Borwornlak Toopradab

Chulalongkorn University Theses and Dissertations (Chula ETD)

In response to the global impact of the COVID-19 pandemic, many research groups have addressed the urgent need to develop effective interventions against the virus by focusing on the SARS-CoV-2 main protease (Mpro). The Mpro is a conserved viral enzyme essential for antiviral drug development. This study employed an integrated computational strategy combining ligand-binding pathway exploration and machine learning-based QSAR modeling to design potent SARS-CoV-2 Mpro inhibitors based on organoselenium (ebselen) and thioester scaffolds. Parallel Cascade Selection Molecular Dynamics-based Ligand Binding-Path Sampling (LB-PaCS-MD) simulations were utilized to elucidate plausible ligand binding pathways and conformations within the Mpro catalytic site. Ebselen …

Akt Targeting Of Resveratrol Derivatives In Non-Small Cell Lung Cancer, Bhurichaya Innets

Chulalongkorn University Theses and Dissertations (Chula ETD)

The Akt signaling pathway plays a crucial role in the survival and proliferation of cancer cells and has emerged as an attractive target for anticancer drug development. This study aimed to modify and enhance the efficacy of resveratrol in non-small cell lung cancer (NSCLC). Five resveratrol derivatives (RD) were evaluated for their anticancer activity and their ability to target the Akt/mTOR pathway in NSCLC cell lines, specifically A549 and H23. Structure-activity relationship (SAR) analysis revealed that two derivatives, RD2 and RD3, had very similar chemical structures but exhibited different levels of cytotoxicity. RD2 demonstrated significant anti-proliferative effects and induced apoptosis …

Investigation Of Soil Fungal Communities In Agricultural Areas From Northeast Thailand, Chayaporn Lakmuang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Soil fungal communities are important for ecosystem processes and plant health, but their composition in agricultural areas is poorly understood, especially in Thailand nowadays. Furthermore, according to the WHO fungus Pathogen Priority List (WHO FPPL), several fungus species pose significant harm to human health, with some demonstrating high death rates. The aims of this study are to assess the diversity of soil fungi in northeast Thailand and identify potential pathogen reservoirs in response to environmental factors. Samples were collected from rice, cassava, rubber tree, and sugarcane fields across 18 provinces with 8 zones of geological features. We used next-generation sequencing …

Determination Of Nutrients Digestibility In Commercial Dry Dog Food Containing Various Protein Sources, Phuong Anh Ta

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study evaluated the nutritional adequacy and digestibility of commercial dry dog foods formulated with different protein sources (animal versus plant) and market tiers (premium versus economy). Eight commercial dog foods were analyzed for nutrient composition and amino acid profiles using proximate analysis and high-performance liquid chromatography (HPLC). Of these, four representative products were selected to assess digestibility through in vivo total fecal collection in Beagle dogs and in vitro digestion assays. All products exceeded 18% crude protein (the minimum crude protein requirement by AAFCO). However, deficiencies were examined in essential amino acids, particularly leucine, isoleucine, methionine, lysine, tryptophan, valine …

Enhanced Resilience To Prolonged Marine Heatwaves In Seagrass Posidonia Sinuosa Populations From Warmer Regions, Marlene Wesselmann, Nicole Said, Chanelle Webster, Simone Strydom, Kathryn Mcmahon

Reports accepted as research outputs

Executive Summary: Climate change is driving the intensification of marine heatwaves (MHWs), which pose a significant threat to seagrass ecosystems globally. Understanding the response of seagrass species to these extreme thermal events is crucial for predicting their resilience and informing conservation strategies. In this study, we evaluated the impacts of prolonged MHW conditions (30 °C) on the photophysiology, metabolism, and growth of three populations of Posidonia sinuosa from Western Australia (Shoalwater, Garden Island, and Jurien Bay). We aimed to determine whether populations with higher thermal optima exhibit higher levels of resilience to MHWs compared to populations with lower thermal optima.