Medicine and Health Sciences Commons^™

Recommended Best Practices For Construct-Centered Adaptation Of The Harmonized Cognitive Assessment Protocol, Emily M. Briceño, Darina T. Bassil, Pranali Khobragade, Anthony Ngugi, Martine El Bejjani, Eric Ochieng, Silvia Mejia-Arango, Salima Douhou, Kazione Kulisewa

School of Medicine Publications

Objectives: The Harmonized Cognitive Assessment Protocol (HCAP) neuropsychological assessment approach aims to support the collection of harmonizable data on cognitive function for cross-national cognitive aging and dementia research. As the measurement of cognition is sensitive to differences in contextual, cultural, educational, linguistic, social, and other factors that may influence cognitive test performance, HCAP requires adaptation to be appropriate for the contexts in which it is administered. We aim to provide methodological recommendations for the adaptation and implementation of the HCAP and other cognitive data collection tools in novel settings.

Methods: We drew from existing guidelines on cross-cultural psychological test adaptation …

A Narrative Review On The Therapeutic Potential Of Stem Cells In Neurodegenerative Diseases: Advances, Insights, And Challenges, Tirath Patel, Fathimathul Henna, Iman Sharif, Inaya Javed, Fatima Mustafa, Hannan Sharif, Fatima Nasir, Mirat Javaid

School of Medicine Publications

Background: Neurodegenerative diseases (NDs) such as Parkinson's disease (PD), Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD) are set apart by progressive neuronal loss and concomitant functional decline. Traditional therapies are equipped with only symptomatic relief, devoid of neurorestorative properties. Stem-cell-based therapies have the potential to revolutionize neurological care by replenishing lost cells, mitigating inflammation, and fostering a neuroprotective environment.

Objectives: This narrative review aims to appraise the treatment potential of various stem cell types in managing NDs, highlighting their functional pathways, delivery methods, and current experimental validation.

Methods: A comprehensive literature search was carried out based on …

Ubiquitination Of Oncogenic Mutant P53 Via Attenuation Of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth, Mudassier Ahmad, Sahir Sultan Alvi, Haider Ahsan, Carlos Perez, Vivek Kashyap, Neeraj Chauhan, Dae Joon Kim, Nirakar Sahoo, Tamer Oraby, Murali Yallapu, Subhash Chuahan, Bilal Hafeez

School of Medicine Publications

Dysregulated ribosome biogenesis and p53 mutations are known to play oncogenic roles in various cancers, including pancreatic cancer. In this study, we demonstrated the therapeutic potential of BMH-21, a pharmacologic inhibitor of RNA polymerase I, against pancreatic cancer by uncovering a novel molecular mechanism involving RPA194-mediated ubiquitination of mutant p53 without affecting the ubiquitination of wild-type p53. Our key findings are that (i) BMH-21 selectively induces apoptosis and cell growth inhibition of pancreatic cancer cells with no effect on normal human pancreatic ductal epithelial cells; (ii) BMH-21 degrades RPA194; (iii) BMH-21 inhibits recruitment of both RPA194 and RPA135 on rDNA …

Artificial Intelligence In Neurosurgical Decision-Making: Promise And Peril In The United States Practice, Tirath Patel, Hamza Yousuf Ibrahim, Sana Sohrab, Muhammad Taha Altaf, Bhumi Patel, Nikhilesh Anand

School of Medicine Publications

The rapid integration of artificial intelligence (AI) into neurosurgical practices in the United States is transforming how diagnoses are interpreted, how surgical plans are developed, and how guidance is provided during operations as clinical needs continue to grow. Models based on radiomics and the Food and Drug Administration approved tools for tumor segmentation, aneurysm identification, and spinal navigation are showing enhanced accuracy and decreased variability among observers, highlighting AI’s potential for significant change. Nevertheless, there are major concerns about the opacity of black-box models, inaccurate outputs, and the increasing legal uncertainties arising from AI-related errors. Ethical challenges, such as the …

A Narrative Review On The Neurobiology Of Lucid Dreaming: Mechanisms And Therapeutic Potential, Tirath Patel, Ashfaq Ahmed, Kinza Irshad, Rahat Ullah, Anaya Noor, Eiman Anwar, Rai Muhammad Umar Khan, Moazzam Akhtar, Fathimathul Henna, Nikhilesh Anand

School of Medicine Publications

Background: Lucid dreaming (LD), which involves being aware of and controlling one's dreams, is of particular interest in the study of consciousness and has potential therapeutic applications. In this narrative review, we highlight the neurobiological aspects of LD, specifically its mechanisms associated with the activation of prefrontal and parietal areas, increased gamma oscillations, and the influence of cholinergic and dopaminergic signaling, primarily during rapid eye movement (REM) sleep.

Objective: To evaluate human data on brain mechanisms and clinical effects, synthesizing the neurobiological foundations and therapeutic possibilities of LD, including remarkably controlled lucid dreams.

Methods: A narrative review of peer-reviewed research …

Cellstaar: Incorporating Single-Cell-Sequencing-Based Functional Data To Boost Power In Rare Variant Association Testing Of Noncoding Regions, Eric Van Buren, Yi Zhang, Xihao Li, Margaret Sunitha Selvaraj, Zilin Li, Nicholette D. Palmer, Donna K. Arnett, John Blangero, Eric Boerwinkle, Joanne E. Curran, Ravi Duggirala

School of Medicine Publications

Understanding how rare genetic variants influence complex traits remains a major challenge, particularly when these variants lie in noncoding regions of the genome. The effects of variants within candidate cis-regulatory elements (cCREs) often depend on the cell type, making interpretation difficult. Here we introduce cellSTAAR, which integrates whole-genome sequencing data with single-cell assay for transposase-accessible chromatin using sequencing data to capture variability in chromatin accessibility across cell types via the construction of cell-type-specific functional annotations and regulatory elements. To reflect the uncertainty in cCRE–gene linking, cellSTAAR uses a comprehensive strategy to link cCREs to their target genes. We applied …

Epidemiology And Outcomes Of Sporotrichosis: A Descriptive Real-World Analysis From A Global Cohort, Samantha Schapiro, Nicholas Pulciano, Julian Galindo-Ramirez, Nicholas Rau, Jose Tuells, Nelson Iván Agudelo Higuita, George R. Thompson Iii, Daniel B. Chastain, Andrés F. Henao-Martínez

School of Medicine Publications

Background: Sporotrichosis is a dimorphic fungal infection of increasing global relevance. Although usually cutaneous or lymphocutaneous, disseminated disease occurs in immunocompromised hosts. Large-scale data on its epidemiology, treatment and outcomes remain limited.

Objectives: To characterise the clinical features, comorbidities, antifungal prescribing patterns and one-year mortality associated with sporotrichosis, with emphasis on patients with HIV and other forms of immunosuppression.

Patients/methods: We performed a retrospective global cohort study using the TriNetX Research Network. Adults (≥ 18 years) diagnosed with sporotrichosis were identified using ICD-9/10 codes (1995-2024). Demographics, comorbidities, laboratory parameters and antifungal prescriptions were analysed. The primary outcome was all-cause mortality …

Artificial Intelligence In Cardiology: An Updated Systematic Review With Ethical Considerations And Challenges In Implementing Artificial Intelligence Models, Dev Patel, Reshmitha Kantamneni, Jabez David John, Tirath Patel, Arnesh Shukla, Ayesha Salma, Nikhilesh Anand

School of Medicine Publications

The integration of artificial intelligence (AI) in cardiovascular medicine presents a transformative opportunity to enhance diagnostic accuracy and improve patient outcomes. This systematic review evaluates the impact of AI on cardiovascular diagnostics with a focus on its ability to surpass traditional methods in accuracy, efficiency, and predictive capabilities. Machine learning and deep learning have demonstrated significant advancements in areas such as echocardiography, electrocardiography, computed tomography angiography, and predictive analytics.

AI algorithms have demonstrated superior performance in identifying subtle patterns and anomalies. Additionally, AI has shown promise in predictive analytics, forecasting disease progression and tailoring treatment plans, thereby improving patient outcomes. …

Overcoming Barriers To Hpv Vaccination In Pakistan: A Critical Need For A Proactive And Culturally-Sensitive Strategy, Syed Ahtisham Halim, Tirath Patel, Syeda Ramish Zehra Kazmi, Momina Khabir, Nikhilesh Anand

School of Medicine Publications

Cervical cancer continues to be one of the major causes of cancer-related mortalities among women worldwide, with a considerable share of this burden affecting developing countries like Pakistan. The addition of the HPV vaccine to the national immunization program of Pakistan had been a crucial leap toward the prevention of cervical cancer. Nevertheless, challenges that threaten the success of such a program are conspicuous. The most important ones are discussed in the letter, including the widespread dissemination of misinformation via social media on unfounded grounds, such as infertility resulting from the vaccine; deep-seated cultural taboos relating to sexual health; and …

Red Bumps, Red Flags: A Case Series Of Four Neoplasms Masquerading As Inflamed Cutaneous Cysts, Jared Hensley, Smaran Marupudi, Kelly Maedo, Saba Suleman, Eric Sandrock

School of Medicine Publications

Red, inflamed cutaneous nodules are frequently diagnosed as epidermal inclusion cysts in both primary care and dermatology settings. However, several benign and malignant entities can closely mimic an inflamed cyst, leading to delayed diagnosis and suboptimal management. We present four patients who initially presented with erythematous nodules clinically suspected to be cysts; final histopathologic diagnoses included dermatofibroma, amelanotic melanoma, dermatofibrosarcoma protuberans, and undifferentiated pleomorphic sarcoma. For each case, we describe the clinical presentation, histopathology, and management. The presence of a central punctum and superficial mobility strongly favors an epidermal inclusion cyst. In contrast, the absence of a punctum, rapid growth, …

Beyond The Rash: Cutaneous Peripheral T-Cell Lymphoma As A Diagnostic Pitfall In Primary Care, Jared Hensley, Aura Calderon, Blake Martin, Cristina Kochi, Andres Suarez Parraga

School of Medicine Publications

Cutaneous manifestations of T-cell lymphomas may resemble common dermatologic or infectious conditions, increasing the risk of delayed recognition. We report a 78-year-old woman with known peripheral T-cell lymphoma (PTCL) who presented with a rapidly progressive, diffuse erythematous rash accompanied by cervical lymphadenopathy. Initial evaluation prioritized more common etiologies; however, inpatient medicine broadened the differential diagnosis, prompting early hematology and oncology consultation. Contrast-enhanced CT of the neck demonstrated multiple enlarged, partially necrotic left cervical lymph nodes consistent with disease progression. After multidisciplinary discussions and consideration of prognosis, the patient elected palliative-focused management with oncology follow-up. This case underscores the importance of …

When Textbook Meets Reality: A Rare Case Of Boerhaave’S Syndrome With Mackler’S Triad, Taiwo Ajani, Jose J. Loayza Pintado, Nayiri Derian, Andres Suarez-Parraga, Ernesto Garza

School of Medicine Publications

Boerhaave’s syndrome is a rare and life-threatening form of spontaneous esophageal perforation, typically triggered by forceful vomiting and often misdiagnosed due to nonspecific clinical features. Although Mackler’s triad (vomiting, chest pain, and subcutaneous emphysema) is classically associated with the condition, it is infrequently observed in full. We present the case of a 32-year-old man with a history of ulcerative colitis (UC) who presented to the emergency department with acute chest pain and repeated vomiting following dinner. He reported a sensation of food impaction and sought care 2 hours after symptom onset. Examination revealed subcutaneous emphysema and abdominal tenderness. Imaging with …

Exploring Resource Profiles Among Trauma Exposed Youth: An Identity-Focused, Cultural, And Person-Centered Approach, Ogechi “Cynthia” Onyeka, Jessica Szu-Chi Cheng, Sina Sanei, Shaunna L. Clark, Caitlin M. Pinciotti, Andrew G. Guzick, Eric A. Storch, Sunita M. Stewart, Jessica Sandoval, Cynthia Garza

School of Medicine Publications

Objective: Resilience is a multi-faceted construct comprised of both internal and external resources that support adaptive functioning following trauma exposure. The role of resilience in ameliorating internalizing symptoms may depend on its typology as opposed to its presence alone, suggesting the existence of distinct subpopulations with heterogeneous resource profiles. The current study employs Latent Profile Analysis (LPA) to identify and characterize profiles of resilience-related resources among youth exposed to trauma from an identity-focused, cultural lens.

Method: Patterns of resources were examined in 1538 youth (Mage = 13.4, 51.9 % female) from a large longitudinal registry of trauma exposed youth in …

Neural Rewiring Of Resilience: The Effects Of Combat Deployment On Functional Network Architecture, Noga Yair, Tom Zalmenson, Omer Azriel, Dana Shamai-Leshem, Yaron Alon, Niv Tik, Lucian Tetse-Laur, Ariel Ben-Yehuda, Daniel Samuel Pine, Anderson M. Winkler, Ido Tavor

School of Medicine Publications

Background: Although combat-deployed soldiers are at high risk for developing trauma-related psychopathology, most will remain resilient for the duration and aftermath of their deployment tour. The neural basis of this type of resilience is largely unknown, and few longitudinal studies exist on neural adaptation to combat in resilient individuals for whom a pre-exposure measurement was collected. Here, we delineate changes in the architecture of functional brain networks from pre- to postcombat in psychopathology-free, resilient participants.

Methods: Tier 1 infantry recruits (n = 50) participated in this longitudinal, functional magnetic resonance imaging study together with a comparison group of university students …

Muc13 Is A Crucial Player In Yap1-Β-Catenin Survival Complex Mediated Cancer Metastasis, Shabnam Malik, Mohammed Sikander, Murali Yallapu, Subhash Chauhan

School of Medicine Publications

No abstract provided.

Ulcers And Eosinophils: A Rare Presentation Of Pdgfra-Rearranged Myeloid Neoplasm Responding To Imatinib, Aura Calderon, Shubhank Goyal, Jose J. Loayza Pintado, Brandon Cantazaro, Everardo Cobos

School of Medicine Publications

Myeloid/lymphoid neoplasms with eosinophilia and tyrosine kinase fusions (M/LN-eo-TK) are uncommon but highly treatable disorders. Among them, FIP1L1::PDGFRA–driven disease is distinguished by marked eosinophilia and multisystem involvement that can rapidly reverse with targeted therapy. We describe a 50-year-old man with uncontrolled diabetes who presented with progressive dyspnea, abdominal discomfort, and painful necrotic scrotal ulcers. Laboratory testing revealed leukocytosis with a striking absolute eosinophil count of 22.1 × 10³/µL, while imaging showed pulmonary infiltrates, small-bowel inflammation, and splenomegaly. Bone marrow examination demonstrated hypercellularity with prominent eosinophilic proliferation. Fluorescence in situ hybridization confirmed a PDGFRA rearrangement with CHIC2 deletion, establishing the diagnosis …

End Point–Based Threshold For The Ambulatory Arterial Stiffness Index, Yi-Bang Cheng, De-Wei An, Dong-Yan Zhang, Yu-Ling Yu, Jesus D. Melgarejo, José Boggia, Dries S. Martens, Tine W. Hansen, Kei Asayama, Gladys E. Maestre

School of Medicine Publications

Background: The ambulatory arterial stiffness index (AASI) is increasingly used in clinical research and practice. This individual-participant meta-analysis aims to consolidate the prognostic accuracy of AASI in the general population and to derive an end point-based AASI risk threshold.

Methods: In 12 558 individuals enrolled in 14 population studies (48.8% women; mean age, 59.3 years), AASI was derived by regressing 24-hour diastolic on systolic blood pressure (mm Hg/mm Hg). Using Cox regression, the risk-carrying AASI threshold was established by examining stepwise increasing AASI levels and by determining the AASI level, yielding a 10-year risk similar to an office systolic pressure …

Multisystem Challenges In Reproductive Medicine: A Case Report Of Bicornuate Uterus, Fibroadenoma, And Postpartum Thyroiditis, Fatima Faisal, Aiman Javed, Faisal Muzaffar, Tirath Patel, Ahmed Ibrahim, Fathimathul Henna, Hafiza Tooba Siddiqui, Bhumi Patel, Nana Sardarova, Nikhilesh Anand

School of Medicine Publications

Rationale: A bicornuate uterus is an uncommon mullerian duct malformation strongly associated with recurrent early pregnancy loss and adverse obstetric outcomes. When combined with endocrine disturbances such as hyperprolactinemia and postpartum thyroid dysfunction, fertility becomes even more challenging. This case highlights how coordinated reproductive-endocrine management can overcome multiple intersecting barriers to conception and successful pregnancy.

Patient concerns: A 24-year-old woman presented with a history of 3 first-trimester miscarriages, difficulty conceiving, and prior breast fibroadenoma excision. Following the birth of her first child, she later developed symptoms of palpitations, weight loss, and anxiety suggestive of thyroid dysfunction.

Diagnoses: Pelvic ultrasonography identified …

Accuracy Of The Phenotypic 1g Test To Detect Mycobacterium Tuberculosis And Drug Resistance From Sputa In The Us-Mexico Border, Mia Aguirre, Doris Ayala, Juan Ignacio Garcia, Yoscelina Estrella Martinez-Lopez, Amberlee Hicks, Nadine M. Chacon, Ashley Gay-Cobb, Alyssa Schami, Selena Zavala-Perez, Blanca I. Restrepo

School of Medicine Publications

Background: With >10 million new tuberculosis (TB) cases/year, a limitation to TB control is the lack of simple and accurate tests for TB diagnosis and drug-susceptibility testing (DST) in endemic regions. We evaluated the accuracy of the first-generation, low-complexity phenotypic TB test (1G test), designed for simultaneous Mtb detection and resistance to isoniazid, rifampicin and moxifloxacin, suitable for resource-limited settings.

Methods: A cross-sectional study was conducted using sputa from 426 possible pulmonary TB subjects from two small Mexican cities bordering Texas. The 1G test was compared against phenotypic TB detection tests in the region [acid fast bacilli smear microscopy and …

Repurposing Of Fda-Approved Drugs Identifies Glipizide As A Potent Hmg-Coa Reductase Inhibitor: A High-Throughput Virtual Screening And Molecular Dynamics Approach For Targeting Hypercholesterolemia, Parvej Ahmad, Eswara N. Hanuma Kumar Ghali, Sahir S. Alvi

School of Medicine Publications

Purpose:

Atherosclerotic cardiovascular disease (ASCVD) is one of the leading causes of mortality worldwide. Several inhibitors of 3-hydroxy-3-methylglutaryl-CoA reductase (HMG-R), the key hepatic cholesterogenic enzyme, are prescribed to treat hypercholesterolemia and ASCVD. Statins, the established HMG-R inhibitors, exhibit promising cholesterol-lowering effects; however, their long-term use has prompted significant concerns, necessitating the search for additional therapeutic candidates with strong HMG-R inhibitory activity. Therefore, this study aims to find potential HMG-R inhibitor/s that may help reduce excess cholesterol levels via targeting HMG-R activity.

Methods: In this study, 1285 FDA-approved small molecules were assessed for their HMG-R inhibitory potential using …

Increased Risk Of Alzheimer Disease–Associated Mortality In Nonobese Vs Obese Metabolic Dysfunction–Associated Steatotic Liver Disease: A 30-Year National Cohort Study, Sarpong Boateng, Guy Loic Nguefang, Mexan Mapouka, Ridwan Lawal, Solomon Gyabaah, Bright Nwatamole, Amita Kasar, Selom Adatsi, Basile Njei

School of Medicine Publications

Background and aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly recognized for its extrahepatic consequences, including emerging links to neurodegenerative disorders such as Alzheimer disease (AD). Whether AD mortality risk differs across MASLD phenotypes, remains unclear.

Methods: We analyzed adults from the Third National Health and Nutrition Examination Survey (1988-1994) with mortality follow-up through 2019 via the National Death Index. Participants were followed for AD mortality. Cumulative incidence was estimated using Kaplan-Meier methods. Cox proportional hazards models evaluated MASLD phenotypes and AD mortality, adjusting for age, sex, race/ethnicity, poverty-income ratio, body mass index, and smoking status.

Results: Among 7125 …

Coffin–Lowry Syndrome: A Systematic Review Of Rps6ka3 Confirmed Cases And Implications For Diagnosis And Counseling, Sabyasachi Maity, Miranda Montion, Danielle Boothe, Mona Attarpour, Ivy Mageto, Simran Agarwal, Rujul Patel, Chloe Lark, Bharathi Gadad, Nikhilesh Anand

School of Medicine Publications

Background: Coffin–Lowry syndrome (CLS) is a rare X-linked disorder caused by pathogenic variants in RPS6KA3, presenting with intellectual disability, distinctive facial and skeletal features, and variable systemic involvement. Advances in genomic technologies have expanded the mutation spectrum, yet genotype phenotype correlations remain incompletely understood.

Methods: We conducted a systematic review of published cases (n = 72) following PRISMA guidelines. Demographic, phenotypic, and genotypic data were extracted, standardized, and summarized using descriptive statistics. Associations between mutation type and key clinical features were assessed with Chi-square or Fisher’s exact tests. Diagnostic approaches and global distribution were also analyzed.

Results: The cohort …

Beyond Hemostasis: A Narrative Review On The Multifaceted Therapeutic Potential Of Ankaferd Blood Stopper, Salima E. Tibi, Muhammad Hashir Nazir, Saleha Nazir, Bhumi Daishik Patel, Gayatri Misra, Tirath Patel, Fatima Nasir, Muhammad Farhan, Nana Sardarova, Nikhilesh Anand

School of Medicine Publications

Background: Effective hemorrhage control is essential in managing trauma and surgical patients, with uncontrolled bleeding being a leading cause of mortality. Ankaferd Blood Stopper (ABS), a hemostatic agent historically used in Anatolia, has gained recognition for its ability to modulate red blood cell-fibrinogen interactions to form a stable protein network for rapid bleeding cessation.

Objective: This review explores the multifaceted applications of ABS, evaluating its efficacy, safety, and potential therapeutic roles across various medical fields, including hemostasis, wound healing, antimicrobial activity, and antineoplastic effects.

Methods: A comprehensive synthesis of clinical trials, case reports, and experimental studies was conducted to assess …

Identifying The Best Cutoff Value Of The Fecal Occult Blood Immunochemical Test In The Detection Of Advanced And Neoplastic Colorectal Lesions [Identificación Del Mejor Punto De Corte De La Prueba Inmunoquímica De Sangre Oculta En Heces En La Detección De Lesiones Colorrectales Avanzadas Y Neoplásicas], Patricia Gaggero, Eduardo Fenocchi, Cecilia Silva, Juan C. Lopez-Alvarenga, Natalia Lambert, Fabian Batista, Sergio Sobrino-Cossio, Jonathan R. White, Adolfo Parra-Blanco

School of Medicine Publications

Objective: Screening is an effective tool for detecting colorectal lesions in asymptomatic subjects. There is a positive correlation between fecal immunochemical test (FIT) values and the size of tumors. Despite the efficacy of screening, the detection of colorectal cancer (CRC) remains low. The primary objective was to evaluate the best FIT cutoff value for detecting advanced adenomas and CRC among individuals at average risk in a country with a high incidence and morbidity from CRC.

Methods: This observational and prospective study analyzed consecutive cases in 1461 asymptomatic subjects with a positive FIT (≥ 100 ng hemoglobin [Hb]/ mL) referred for …

The Rna-Binding Protein Hur Modulates The Expression Of The Disease-Linked Ccl2 Rs1024611g-Rs13900t Haplotype, Feroz Akhtar, Joselin Hernandez-Ruiz, Ya-Guang Liu, Roy G. Resendez, Denis Feliers, Liza D. Morales, Alvaro Diaz-Badillo, Donna M. Lehman, Rector Arya, Juan Carlos Lopez-Alvarenga, John Blangero, Ravi Duggirala, Srinivas Mummidi

School of Medicine Publications

CC-chemokine ligand 2 (CCL2) is involved in the pathogenesis of several diseases associated with monocyte/macrophage recruitment, such as HIV-associated neurocognitive disorder (HAND), tuberculosis, and atherosclerosis. The rs1024611 (alleles: A>G; G is the risk allele) polymorphism in the CCL2 cis-regulatory region is associated with increased CCL2 expression in vitro and ex vivo, leukocyte mobilization in vivo, and deleterious disease outcomes. However, the molecular basis for the rs1024611-associated differential CCL2 expression remains poorly characterized. It is conceivable that genetic variant(s) in linkage disequilibrium (LD) with rs1024611 could mediate such effects. Previously, we used rs13900 (alleles: C>T) in the CCL2 …

Associations Of Blood Pressure Level And Variability With Cortical Thickness: A Cross-Sectional Analysis From The Maracaibo Aging Study, Romeo De Leon, Shana Garza, Silvia Mejia-Arango, Kristina Vatcheva, Sokratis Charisis, Claudia L. Satizabal, Luis J. Mena, Joseph H. Lee, Joseph D. Terwilliger, Eron Manusov

School of Medicine Publications

Background: Although high blood pressure (BP) level and variability are associated with Alzheimer's Disease (AD), their relationship with cortical thickness in brain regions that are associated with AD is unclear. Furthermore, the role of 24-hour BP has not been examined. We investigated the associations of office and ambulatory BP measures with cortical thickness in brain regions implicated in AD.

Methods: We performed a cross sectional analysis of 304 participants without dementia from a population-based study with office and 24-hour BP and magnetic resonance imaging (MRI) data. We considered cortical thickness values derived from 10 regions throughout the frontal, parietal, and …

Reduced Threat-Related Neural Efficiency: A Possible Biomarker For Pediatric Anxiety Disorders, Julia O. Linke, Reut Naim, Simona P. Haller, Parmis Khosravi, Beck Scheinberg, Meghan E. Byrne, Anita Harrewijn, Ellen Leibenluft, Melissa A. Brotman, Anderson M. Winkler, Daniel Samuel Pine

School of Medicine Publications

Objective: Pediatric anxiety disorders are common and predict adult psychopathology, yet current treatments, such as cognitive-behavioral therapy (CBT), produce lasting remission in less than 50% of affected youths. To support the search for improved, mechanistically grounded interventions, this study evaluated neural efficiency, defined as similarity in functional connectivity between a threat task and rest, as a potential biomarker. The study evaluated neural efficiency in relation to anxiety diagnosis and treatment response.

Methods: The authors compared 103 youths with an anxiety disorder diagnosis (mean age, 12.5 years [SD=2.91], 62% female) to 103 youths with no psychiatric diagnosis (mean age, 13.4 years …

Spinning-Induced Exertional Rhabdomyolysis Without Acute Kidney Injury, Yolanda V. Gutierrez, Ronald Shaju, Alyssa L. Sepulveda, Joaquin Rivera, Aamir Ahmad

School of Medicine Publications

Rhabdomyolysis is a condition with a myriad of causes, including both traumatic and non-traumatic. Traumatic conditions are observed in crush injuries, compartment syndrome, and fractures, while non-traumatic rhabdomyolysis is commonly seen due to exertional heat stroke, extreme physical exercise, and dehydration. This case report explores two cases of extreme non-traumatic rhabdomyolysis caused by indoor cycling, also known as spinning. A common complication of severe rhabdomyolysis is acute kidney injury (AKI), which increases the risk of renal failure. Rapid interventions such as aggressive intravenous fluids are necessary to prevent kidney function loss. In this case report, two sisters, on two separate …

Breaking The Resistance: A Narrative Review Of The Evolution From Traditional Drugs To Precision Therapies In Epilepsy, Tirath Patel, Fathimathul Henna, Ashfaq Ahmed, Ayesha Ahmad, Noor Ul Huda, Syed Aaraiz Ul Hassan, Aiman Muhammad, Amna Javed, Maryem Filal, Nikhilesh Anand

School of Medicine Publications

Background: Epilepsy is a chronic neurological disorder characterized by recurrent seizures, affecting approximately 50 million individuals globally. While conventional antiseizure medications (ASMs) control seizures in 70-80% of patients, about 30% experience drug resistance or intolerable side effects, necessitating alternative approaches.

Objective: To critically compare the efficacy, safety, and accessibility of conventional and emerging therapies for epilepsy, particularly in the context of treatment-resistant cases and global disparities in care.

Methods: This narrative review synthesized evidence from 120 peer-reviewed articles published between 2015 and 2025. Literature was retrieved from PubMed, Embase, Cochrane Library, and Scopus using predefined search terms related to epilepsy …

Early Detection In Oral Cancer: Are We Prepared For Artificial Intelligence-Driven Precision Medicine?, Nikil Kumar, Sinnha Kumari, Sadia Sultana, Muhammad Saad Khan, Tirath Patel, Nikhilesh Anand

School of Medicine Publications

Oral cancer, particularly oral squamous cell carcinoma, remains a serious health concern, with a poor prognosis and a late diagnosis. Leukoplakia, erythroplakia, lichen planus, and submucous fibrosis are examples of oral potentially malignant disorders that must be detected early but are not always so by traditional, laborious, and subjective diagnostic techniques. In oral cancer, artificial intelligence (AI) and precision medicine are becoming game-changing technologies that enhance individualized care, treatment planning, and diagnostic precision. Complex imaging and histopathology data may be analyzed using machine learning and deep learning algorithms, particularly convolutional neural networks, which can identify patterns that are invisible to …