Pathological Conditions, Signs and Symptoms Commons^™

Biofluid Biomarkers Aid In Diagnosing And Developing Improved Treatments For People With Alzheimer's Disease, Jonatan A. Lopez

University Honors Theses

Dementia is a disease in which daily life is disrupted by a loss of cognitive function. Late-onset Alzheimer's disease (AD) is the most common dementia that largely begins to affect individuals in their mid 60s or older. AD was selected as the focus of this paper because it is the most common form of dementia, accounting for 50-70% of dementia cases. A typical diagnostic approach used by physicians starts with a simple clinical test, the Mini-Mental State Examination (MMSE), when cognitive decline is suspected in a patient. Then if there is enough evidence to suggest AD, a physician would order …

Rna Sequencing Reveals Inflammatory And Metabolic Changes In The Lung And Brain After Carbon Black And Naphthalene Whole Body Inhalation Exposure In A Rodent Model Of Military Burn Pit Exposures, Allison M. Haaning, Brian J. Sandri, Henry L. Wyneken, William T. Goldsmith, Joshua P. Nixon, Timothy R. Nurkiewicz, Chris H. Wendt, Paul Barach, Janeen H. Trembley, Tammy A. Butterick

College of Population Health Faculty Papers

Military personnel deployed to Iraq and Afghanistan were exposed to emissions from open-air burn pits, where plastics, metals, and medical waste were incinerated. These exposures have been linked to deployment-related respiratory diseases (DRRD) and may also impact neurological health via the lung-brain axis. To investigate molecular mechanisms, adult male rats were exposed to filtered air, naphthalene (a representative volatile organic compound), or a combination of naphthalene and carbon black (surrogate for particulate matter; CBN) via whole-body inhalation (six hours/day, three consecutive days). Lung, brain, and plasma samples were collected 24 h after the final exposure. Pro-inflammatory biomarkers were assessed using …

Plasma Proteomic Biomarkers Of Physical Frailty In Heart Failure: A Propensity Score Matched Discovery-Based Pilot Study, Quin Denfeld, Noelle Pavlovic, Christopher Lee, Jon Jacobs, Mary Roberts Davis, Samantha Powell, Marina Gritsenko, Susan Joseph, Beth Habecker

Division of Cardiology Faculty Papers

BACKGROUND: Physical frailty is highly prevalent in heart failure (HF), but we lack an understanding of the underlying pathophysiology. Proteomic evaluation of plasma samples may elucidate potential mechanisms and biomarkers of physical frailty in HF.

OBJECTIVES: We aimed to identify plasma proteomic biomarkers that are differentially expressed between physically frail and non-physically frail adults with HF.

METHODS: This was a secondary analysis of a subset of data and plasma samples from a study of frailty among patients with New York Heart Association (NYHA) Functional Classification I-IV HF. Physical frailty was measured using the Frailty Phenotype Criteria. Propensity score matching was …

Association Of Inflammatory Biomarkers With New Functional Morbidity At Hospital Discharge In Children Who Survive Severe Sepsis, Mallory Perry-Eaddy, Walter Faig, Martha Curley, Scott Weiss

Department of Pediatrics Faculty Papers

OBJECTIVE: New functional morbidity is common in critically ill children who survive sepsis; yet, the underlying biological mechanisms, particularly the impact of inflammation, remain unknown. We sought to test the hypothesis that increased levels of inflammatory biomarkers during the acute phase of pediatric sepsis are associated with new functional morbidity at hospital discharge.

METHODS: We conducted a post hoc secondary analysis of the MitoPSe clinical study, including N = 119 critically ill children who survived sepsis. Data collected included demographic and clinical variables and 31 inflammatory biomarkers collected at three distinct timepoints (within days 1-2 of PICU admission, days 3-5, …

Development And Validation Of Risk Stratification For Heart Failure After Acute Coronary Syndrome Based On Dynamic S100a8/A9 Levels, Jie Ma, Ke Ma, Jing Chen, Xinying Yang, Fei Gao, Hai Gao, Hui Zhang, Xin-Liang Ma, Jie Du, Ping Li, Yulin Li

Department of Emergency Medicine Faculty Papers

BACKGROUND: The early assessment of heart failure (HF) risk in patients with acute coronary syndrome (ACS) can help reduce mortality. S100A8/A9 is not only rapidly released after myocardial ischemia, but is also involved in reperfusion injury, which is an important predictor of HF after ACS. We attempted to construct a reliable HF risk stratification tool for evaluating patients with ACS after reperfusion therapy based on S100A8/A9 dynamic changes.

METHODS AND RESULTS: This prospective study included 3 independent cohorts of patients with ACS who received reperfusion therapy. The discovery cohort was divided into 2 subgroups: the longitudinal subgroup (n=264) with serum …

Re: Proteomic Exploration Of Potential Blood Biomarkers In Haemophilic Arthropathy, Quang D La, David F Lo, Don D Shamilov

Rowan-Virtua School of Osteopathic Medicine Departmental Research

We wish to convey our reflections on the scholarly article titled “Proteomic exploration of potential blood biomarkers in haemophilic arthropathy” [1]. This investigation elucidates significant results concerning the plasma proteome of individuals afflicted with hemophilic arthropathy (HA) across a spectrum of severities, accentuating pivotal variations in protein expression correlated with disease severity and emphasizing the intricate nature of HA pathophysiology.

Utilising Discriminant Function Analysis (Dfa) For Classifying Osteoarthritis (Oa) Patients And Volunteers Based On Biomarker Concentration, Laura Jane Coleman, John L Byrne, Stuart Edwards, Rosemary O'Hara

Faculty, Staff and Student Publications

Osteoarthritis (OA) is a degenerative joint disease characterised by the breakdown of cartilage, causing pain, stiffness, and limited movement. Early diagnosis is crucial for effective management but remains challenging due to non-specific early symptoms. This study explores the application of Discriminant Function Analysis (DFA) to classify OA patients and healthy volunteers based on biomarker concentrations of Interleukin-6 (IL-6), Tumour necrosis factor-alpha (TNF-α), and Myeloperoxidase (MPO). DFA was employed to analyse biomarker data from 86 participants (58 patients, 28 volunteers) to evaluate the discriminatory power of these biomarkers in predicting OA. Significant differences were observed in MPO and TNF-α levels between …

Digital Clock Drawing As An Alzheimer's Disease Susceptibility Biomarker: Associations With Genetic Risk Score And Apoe In Older Adults, L I Thompson, M Cummings, S Emrani, David J. Libon, A Ang, C Karjadi, R Au, C Liu

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia in older adults, but most people are not diagnosed until significant neuronal loss has likely occurred along with a decline in cognition. Non-invasive and cost-effective digital biomarkers for AD have the potential to improve early detection.

OBJECTIVE: We examined the validity of DCTclockTM (a digitized clock drawing task) as an AD susceptibility biomarker.

DESIGN: We used two primary independent variables, Apolipoprotein E (APOE) ε4 allele carrier status and polygenic risk score (PRS). We examined APOE and PRS associations with DCTclockTM composite scores as dependent measures.

SETTING: We used existing data …

Pitfalls In Machine Learning-Based Assessment Of Tumor-Infiltrating Lymphocytes In Breast Cancer: A Report Of The International Immuno-Oncology Biomarker Working Group On Breast Cancer, Jeppe Thagaard, Glenn Broeckx, David B Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos, Rajarsi Gupta, Reena Khiroya, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Guray Akturk, Jonas S Almeida, Isabel Alvarado-Cabrero, Mohamed Amgad, Farid Azmoudeh-Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Eva Balslev, Enrique R Bellolio, Vydehi Bheemaraju, Kim Rm Blenman, Luciana Botinelly Mendonça Fujimoto, Najat Bouchmaa, Octavio Burgues, Alexandros Chardas, Maggie Chon U Cheang, Francesco Ciompi, Lee Ad Cooper, An Coosemans, Germán Corredor, Anders B Dahl, Flavio Luis Dantas Portela, Frederik Deman, Sandra Demaria, Johan Doré Hansen, Sarah N Dudgeon, Thomas Ebstrup, Mahmoud Elghazawy, Claudio Fernandez-Martín, Stephen B Fox, William M Gallagher, Jennifer M Giltnane, Sacha Gnjatic, Paula I Gonzalez-Ericsson, Anita Grigoriadis, Niels Halama, Matthew G Hanna, Aparna Harbhajanka, Steven N Hart, Johan Hartman, Søren Hauberg, Stephen Hewitt, Akira I Hida, Hugo M Horlings, Zaheed Husain, Evangelos Hytopoulos, Sheeba Irshad, Emiel Am Janssen, Mohamed Kahila, Tatsuki R Kataoka, Kosuke Kawaguchi, Durga Kharidehal, Andrey I Khramtsov, Umay Kiraz, Pawan Kirtani, Liudmila L Kodach, Konstanty Korski, Anikó Kovács, Anne-Vibeke Laenkholm, Corinna Lang-Schwarz, Denis Larsimont, Jochen K Lennerz, Marvin Lerousseau, Xiaoxian Li, Amy Ly, Anant Madabhushi, Sai K Maley, Vidya Manur Narasimhamurthy, Douglas K Marks, Elizabeth S Mcdonald, Ravi Mehrotra, Stefan Michiels, Fayyaz Ul Amir Afsar Minhas, Shachi Mittal, David A Moore, Shamim Mushtaq, Hussain Nighat, Thomas Papathomas, Frederique Penault-Llorca, Rashindrie D Perera, Christopher J Pinard, Juan Carlos Pinto-Cardenas, Giancarlo Pruneri, Lajos Pusztai, Arman Rahman, Nasir Mahmood Rajpoot, Bernardo Leon Rapoport, Tilman T Rau, Jorge S Reis-Filho, Joana M Ribeiro, David Rimm, Anne Roslind, Anne Vincent-Salomon, Manuel Salto-Tellez, Joel Saltz, Shahin Sayed, Ely Scott, Kalliopi P Siziopikou, Christos Sotiriou, Albrecht Stenzinger, Maher A Sughayer, Daniel Sur, Susan Fineberg, Fraser Symmans, Sunao Tanaka, Timothy Taxter, Sabine Tejpar, Jonas Teuwen, E Aubrey Thompson, Trine Tramm, William T Tran, Jeroen Van Der Laak, Paul J Van Diest, Gregory E Verghese, Giuseppe Viale, Michael Vieth, Noorul Wahab, Thomas Walter, Yannick Waumans, Hannah Y Wen, Wentao Yang, Yinyin Yuan, Reena Md Zin, Sylvia Adams, John Bartlett, Sibylle Loibl, Carsten Denkert, Peter Savas, Sherene Loi, Roberto Salgado, Elisabeth Specht Stovgaard

Faculty, Staff and Student Publications

The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. …

The Neutralization Of The Eosinophil Peroxidase Antibody Accelerates Eosinophilic Mucin Decomposition, Panagiotis Doukas, Jan Paul Frese, Thorsten Eierhoff, Gabriel Hellfritsch, Ben Raude, Michael J Jacobs, Andreas Greiner, Alexander Oberhuber, Alexander Gombert

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is a common complication after complex aortic procedures and it is associated with relevant mortality and morbidity. Biomarkers for early and specific AKI detection are lacking. The aim of this work is to investigate the reliability of the NephroCheck bedside system for diagnosing stage 3 AKI following open aortic surgery. In this prospective, multicenter, observational study,- https://clinicaltrials.gov/ct2/show/NCT04087161 -we included 45 patients undergoing open thoracoabdominal aortic repair. AKI risk (AKIRisk-Index) was calculated from urine samples at 5 timepoints: baseline, immediately postoperatively and at 12, 24, 48, and 72 h post-surgery. AKIs were classified according to the KDIGO …

Correlation Between Gut Biomarkers And Depression, Jianle Gao

Rowan-Virtua Research Day

The correlation between the gut-microbiota- brain axis and mental state in the context of mental disorders such as Major Depressive Disorder (MDD), Schizophrenia, etc. has been well studied. Production of inflammatory and non-inflammatory metabolites by the gut- microbiota directly and indirectly affects the brain and mood. Therefore, colonization by maladaptive, pro-inflammatory bacteria may cause mood dysregulation and depressive features. Metabolites from these bacteria can be quantitatively analyzed for use as biomarkers of Major Depressive Disorder. Biomarkers studied include: serotonin, dopamine, butyrate, acetate, and propionate.

Preoperative Inflammatory Markers As Prognostic Predictors After Hepatocellular Carcinoma Resection: Data From A Western Referral Center, João Paulo Maciel Silva, Fabricio Ferreira Coelho, Alex Jones Flores Cassenote, Vagner Birk Jeismann, Gilton Marques Fonseca, Jaime Arthur Pirola Kruger, José Donizeti De Meira Júnior, Sérgio Carlos Nahas, Paulo Herman

Faculty, Staff and Student Publications

BACKGROUND: Recent studies from eastern centers have demonstrate an association between inflammatory response and long-term outcomes after hepatocellular carcinoma (HCC) resection. However, the prognostic impact of inflammatory markers in western patients, with distinct tumor and epidemiologic features, is still unknown.

AIM: To evaluate the prognostic impact of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), as well as their impact according to tumor size (< 5 cm, 5-10 cm, > 10 cm) in patients undergoing HCC resection with curative intent.

METHODS: Optimal cut-off values for NLR, PLR, and MLR were determined by plotting the receiver operator curves. Overall survival (OS) and disease-free …

Word-List Intrusion Errors Predict Progression To Mild Cognitive Impairment, Kelsey R Thomas, Joel Eppig, Emily C Edmonds, Diane M Jacobs, David J Libon, Rhoda Au, David P Salmon, Mark W Bondi, Alzheimer’S Disease Neuroimaging Initiative

Rowan-Virtua School of Osteopathic Medicine Departmental Research

OBJECTIVE: Preclinical Alzheimer's disease (AD) defined by a positive AD biomarker in the presence of normal cognition is presumed to precede mild cognitive impairment (MCI). Subtle cognitive deficits and cognitive inefficiencies in preclinical AD may be detected through process and error scores on neuropsychological tests in those at risk for progression to MCI.

METHOD: Cognitively normal participants (n = 525) from the Alzheimer's Disease Neuroimaging Initiative were followed for up to 5 years and classified as either stable normal (n = 305) or progressed to MCI (n = 220). Cox regressions were used to determine whether baseline process scores on …