Endoscopic findings and outcomes of gastric mucosal changes relating to potassium-competitive acid blocker and proton pump inhibitor therapy.

Gastric mucosal changes associated with long-term potassium-competitive acid blocker and proton pump inhibitor (PPI) therapy may raise concern. In contrast to that for PPIs, the evidence concerning the safety of long-term potassium-competitive acid blocker use is scant. Vonoprazan (VPZ) is a representative potassium-competitive acid blocker released in Japan in 2015. In order to shed some comparative light regarding the outcomes of gastric mucosal lesions associated with a long-term acid blockade, we have reviewed six representative gastric mucosal lesions: fundic gland polyps, gastric hyperplastic polyps, multiple white and flat elevated lesions, cobblestone-like gastric mucosal changes, gastric black spots, and stardust gastric mucosal changes. For these mucosal lesions, we have evaluated the association with the type of acid blockade, patient gender, Helicobacter pylori infection status, the degree of gastric atrophy, and serum gastrin levels. There is no concrete evidence to support a significant relationship between VPZ/PPI use and the development of neuroendocrine tumors. Current data also shows that the risk of gastric mucosal changes is similar for long-term VPZ and PPI use. Serum hypergastrinemia is not correlated with the development of some gastric mucosal lesions. Therefore, serum gastrin level is unhelpful for risk estimation and for decision-making relating to the cessation of these drugs in routine clinical practice. Given the confounding potential neoplastic risk relating to H. pylori infection, this should be eradicated before VPZ/PPI therapy is commenced. The evidence to date does not support the cessation of clinically appropriate VPZ/PPI therapy solely because of the presence of these associated gastric mucosal lesions.

Barriers and facilitators to healthcare utilisation by Arab sexual minority women migrants in the USA.

Limited research on sexual minority women migrants demonstrate that they face elevated rates of mental health problems compared to their heterosexual and male counterparts, and less is known about their healthcare seeking behaviours. This study aimed to identify barriers and facilitators to mental and physical healthcare utilisation among first-generation (foreign-born) Arab sexual minority women migrants in the USA and to assess whether Penchansky and Thomas' theory of access can be used to understand their healthcare utilisation behaviours. We conducted 20 semi-structured interviews via Zoom. Employing community-engaged research methods, four advisors, Arab sexual minority women migrants and a mental health service provider, assisted in recruitment and thematic data analysis providing a rich and nuanced understanding of study findings. Five main themes demonstrated the pivotal role of cultural humility from providers and access to medical insurance in shaping healthcare-seeking decisions. Difficulties finding therapists and navigating the referral process and wait times encouraged participants to seek care outside of the USA in their Arab countries of origin. Stigma and social support further influenced participants' decisions to seek mental healthcare. The study findings inform policy and practice to foster the development of inclusive healthcare services grounded in cultural humility and to develop support groups specifically for Arab sexual minority women migrants to the USA.

FlowAtlas: an interactive tool for high-dimensional immunophenotyping analysis bridging FlowJo with computational tools in Julia.

As the dimensionality, throughput and complexity of cytometry data increases, so does the demand for user-friendly, interactive analysis tools that leverage high-performance machine learning frameworks. Here we introduce FlowAtlas: an interactive web application that enables dimensionality reduction of cytometry data without down-sampling and that is compatible with datasets stained with non-identical panels. FlowAtlas bridges the user-friendly environment of FlowJo and computational tools in Julia developed by the scientific machine learning community, eliminating the need for coding and bioinformatics expertise. New population discovery and detection of rare populations in FlowAtlas is intuitive and rapid. We demonstrate the capabilities of FlowAtlas using a human multi-tissue, multi-donor immune cell dataset, highlighting key immunological findings. FlowAtlas is available at https://github.com/gszep/FlowAtlas.jl.git.

Non-Small Cell Lung Cancer Imaging Using a Phospholipase A2 Activatable Fluorophore.

Lung cancer, the most common cause of cancer-related death in the United States, requires advanced intraoperative detection methods to improve evaluation of surgical margins. In this study we employed DDAO-arachidonate (DDAO-A), a phospholipase A2 (PLA2) activatable fluorophore, designed for the specific optical identification of lung cancers in real-time during surgery. The in vitro fluorescence activation of DDAO-A by porcine sPLA2 was tested in various liposomal formulations, with 100 nm extruded EggPC showing the best overall characteristics. Extruded EggPC liposomes containing DDAO-A were tested for their stability under various storage conditions, demonstrating excellent stability for up to 4 weeks when stored at -20 °C or below. Cell studies using KLN 205 and LLC1 lung cancer cell lines showed DDAO-A activation was proportional to cell number. DDAO-A showed preferential activation by human recombinant cPLA2, an isoform highly specific to arachidonic acid-containing lipids, when compared to a control probe, DDAO palmitate (DDAO-P). In vivo studies with DBA/2 mice bearing KLN 205 lung tumors recapitulated these results, with preferential activation of DDAO-A relative to DDAO-P following intratumoral injection. Topical application of DDAO-A-containing liposomes to human (n = 10) and canine (n = 3) lung cancers ex vivo demonstrated the preferential activation of DDAO-A in tumor tissue relative to adjacent normal lung tissue, with fluorescent tumor-to-normal ratios (TNR) of up to 5.2:1. The combined results highlight DDAO-A as a promising candidate for clinical applications, showcasing its potential utility in intraoperative and back-table imaging and topical administration during lung cancer surgeries. By addressing the challenge of residual microscopic disease at resection margins and offering stability in liposomal formulations, DDAO-A emerges as a potentially valuable tool for advancing precision lung cancer surgery and improving curative resection rates.

Priming lymphocyte responsiveness and differential T cell signaling in pediatric IBD patients with Cannabis use.

The prevalence of inflammatory bowel disease (IBD) has increased dramatically in recent years, particularly in pediatric populations. Successful remission with current therapies is limited and often transient, leading patients to seek alternative therapies for symptom relief, including the use of medical marijuana (Cannabis sativa). However, chronic cannabis use among IBD patients is associated with increased risk for surgical interventions. Therefore, determining the direct impact of cannabis use on immune modulation in IBD patients is of critical importance. Peripheral blood mononuclear cells of cannabis using and non-using pediatric IBD patients were phenotyped by flow cytometry and functionally assessed for their cytokine production profile. A phospho-kinase array was also performed to better understand changes in immune responses. Results were then compared with serum phytocannabinoid profiles of each patient to identify cannabinoid-correlated changes in immune responses. Results demonstrated elevated levels of a myriad of pro-inflammatory cytokines in users versus non-users. Differences in signaling cascades of activated T cells between users and non-users were also observed. A number of anti-inflammatory cytokines were inversely correlated with serum phytocannabinoids. These results suggest that cannabis exposure, which can desensitize cannabinoid receptors, may prime pro-inflammatory pathways in pediatric IBD patients.

Conformational Alterations of the Cell Surface of Monomeric and Dimeric ß2m-Free HLA-I (Proto-HLA) May Enable Novel Immune Functions in Health and Disease.

Human leukocyte antigens (HLAs) are polymorphic glycoproteins expressed on the cell surface of nucleated cells and consist of two classes, HLA class I and HLA class II. In contrast, in mice, these molecules, known as H-2, are expressed on both nucleated cells and erythrocytes. HLA-I molecules (Face-1) are heterodimers consisting of a polypeptide heavy chain (HC) and a light chain, B2-microglobulin (B2m). The heterodimers bind to antigenic peptides and present them to the T-cell receptors of CD8+ cytotoxic T lymphocytes. The HCs can also independently emerge on the cell surface as B2m-free HC monomers without peptides (Face-2). Early investigators suggested that the occurrence of B2m-free HCs on the cell surface resulted from the dissociation of B2m from Face-1. However, others documented the independent emergence of B2m-free HCs (Face-2) from the endoplasmic reticulum (ER) to the cell surface. The clustering of such HC molecules on either the cell surface or on exosomes resulted in the dimerization of B2m-free HCs to form homodimers (if the same allele, designated as Face-3) or heterodimers (if different alleles, designated as Face-4). Face-2 occurs at low levels on the cell surface of several normal cells but is upregulated on immune cells upon activation by proinflammatory cytokines and other agents such as anti-CD3 antibodies, phytohemagglutinin, and phorbol myristate acetate. Their density on the cell surface remains high as long as the cells remain activated. After activation-induced upregulation, Face-2 molecules undergo homo- and heterodimerization (Face-3 and Face-4). Observations made on the structural patterns of HCs and their dimerization in sharks, fishes, and tetrapod species suggest that the formation of B2m-free HC monomers and dimers is a recapitalization of a phylogenetically conserved event, befitting the term Proto-HLA for the B2m-free HCs. Spontaneous arthritis occurs in HLA-B27+ mice lacking B2m (HLA-B27+ B2m-/-) but not in HLA-B27+ B2m+/+ mice. Anti-HC-specific monoclonal antibodies (mAbs) delay disease development. Some HLA-I polyreactive mAbs (MEM series) used for immunostaining confirm the existence of B2m-free variants in several cancer cells. The conformational alterations that occur in the B2m-free HCs enable them to interact with several inhibitory and activating receptors of cellular components of the innate (natural killer (NK) cells) and adaptive (T and B cells) immune systems. The NK cells express killer immunoglobulin-like receptors (KIRs), whereas leukocytes (T and B lymphocytes, monocytes/macrophages, and dendritic cells) express leukocyte immunoglobulin-like receptors (LILRs). The KIRs and LILRs include activating and inhibitory members within their respective groups. This review focuses on the interaction of KIRs and LILRs with B2m-free HC monomers and dimers in patients with spondylarthritis. Several investigations reveal that the conformational alterations occurring in the alpha-1 and alpha-2 domains of B2m-free HCs may facilitate immunomodulation by their interaction with KIR and LILR receptors. This opens new avenues to immunotherapy of autoimmune diseases and even human cancers that express B2m-free HCs.

Occult residual ovarian tissue at the time of minimally invasive risk reducing surgery in women with BRCA mutations.

OBJECTIVE: To describe extension of ovarian tissue beyond visible and National Comprehensive Cancer Network recommended margins among patients with BRCA mutations undergoing minimally invasive risk-reducing salpingo-oophorectomy. METHODS: A prospective study of patients with BRCA mutations who underwent minimally invasive risk-reducing bilateral salpingo-oophorectomy was conducted. Patient enrollment occurred between October 2021 and 2023. Tissue specimens were analyzed according to the Sectioning and Extensively Examining the Fimbriated End protocol. RESULTS: Twenty women with BRCA mutations were prospectively enrolled. All patients underwent minimally invasive surgery with 70% undergoing concurrent hysterectomy (n = 14). Approximately half of these procedures were performed with robotic assistance (n = 9, 45%). One patient was admitted overnight (5%); the other nineteen were discharged on the day of surgery (95%). One patient experienced a major complication and required readmission (5%). Extension of ovarian tissue beyond the visible ovary was noted on pathologic examination of six specimens (30%). In one patient this was observed on the left (17%), in three on the right (50%), and in two bilateral extension (33%) was noted. The distance ovarian stroma extended microscopically beyond the visible ovary was between 2 and 14 mm, with a median of 5 mm. Among patients with microscopic extension of ovarian tissue, the majority (n = 5, 83%) had a BRCA2 mutation. CONCLUSION: In women with BRCA mutations undergoing risk-reducing minimally invasive surgery, approximately one third had microscopic extension of ovarian stroma beyond the visible ovary. Current guidelines which recommend resection of at least 20 mm of tissue beyond the visible ovary are likely adequate in this population.

Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features.

Two common obstacles limiting the performance of data-driven algorithms in digital histopathology classification tasks are the lack of expert annotations and the narrow diversity of datasets. Multi-instance learning (MIL) can address the former challenge for the analysis of whole slide images (WSI), but performance is often inferior to full supervision. We show that the inclusion of weak annotations can significantly enhance the effectiveness of MIL while keeping the approach scalable. An analysis framework was developed to process periodic acid-Schiff (PAS) and Sirius Red (SR) slides of renal biopsies. The workflow segments tissues into coarse tissue classes. Handcrafted and deep features were extracted from these tissues and combined using a soft attention model to predict several slide-level labels: delayed graft function (DGF), acute tubular injury (ATI), and Remuzzi grade components. A tissue segmentation quality metric was also developed to reduce the adverse impact of poorly segmented instances. The soft attention model was trained using 5-fold cross-validation on a mixed dataset and tested on the QUOD dataset containing n = 373 PAS and n = 195 SR biopsies. The average ROC-AUC over different prediction tasks was found to be 0.598 ± 0.011 , significantly higher than using only ResNet50 ( 0.545 ± 0.012 ), only handcrafted features ( 0.542 ± 0.011 ), and the baseline ( 0.532 ± 0.012 ) of state-of-the-art performance. In conjunction with soft attention, weighting tissues by segmentation quality has led to further improvement ( A U C = 0.618 ± 0.010 ) . Using an intuitive visualisation scheme, we show that our approach may also be used to support clinical decision making as it allows pinpointing individual tissues relevant to the predictions.

Modeling cellular responses to serum and vitamin D in microgravity using a human kidney microphysiological system.

The microgravity environment aboard the International Space Station (ISS) provides a unique stressor that can help understand underlying cellular and molecular drivers of pathological changes observed in astronauts with the ultimate goals of developing strategies to enable long- term spaceflight and better treatment of diseases on Earth. We used this unique environment to evaluate the effects of microgravity on kidney proximal tubule epithelial cell (PTEC) response to serum exposure and vitamin D biotransformation capacity. To test if microgravity alters the pathologic response of the proximal tubule to serum exposure, we treated PTECs cultured in a microphysiological system (PT-MPS) with human serum and measured biomarkers of toxicity and inflammation (KIM-1 and IL-6) and conducted global transcriptomics via RNAseq on cells undergoing flight (microgravity) and respective controls (ground). Given the profound bone loss observed in microgravity and PTECs produce the active form of vitamin D, we treated 3D cultured PTECs with 25(OH)D3 (vitamin D) and monitored vitamin D metabolite formation, conducted global transcriptomics via RNAseq, and evaluated transcript expression of CYP27B1, CYP24A1, or CYP3A5 in PTECs undergoing flight (microgravity) and respective ground controls. We demonstrated that microgravity neither altered PTEC metabolism of vitamin D nor did it induce a unique response of PTECs to human serum, suggesting that these fundamental biochemical pathways in the kidney proximal tubule are not significantly altered by short-term exposure to microgravity. Given the prospect of extended spaceflight, more study is needed to determine if these responses are consistent with extended (>6 months) exposure to microgravity.

Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts.

BACKGROUND: SARS-CoV-2-infected patients may develop new conditions in the period after the acute infection. These conditions, the post-acute sequelae of SARS-CoV-2 infection (PASC, or Long COVID), involve a diverse set of organ systems. Limited studies have investigated the predictability of Long COVID development and its associated risk factors. METHODS: In this retrospective cohort study, we used electronic healthcare records from two large-scale PCORnet clinical research networks, INSIGHT (~1.4 million patients from New York) and OneFlorida+ (~0.7 million patients from Florida), to identify factors associated with having Long COVID, and to develop machine learning-based models for predicting Long COVID development. Both SARS-CoV-2-infected and non-infected adults were analysed during the period of March 2020 to November 2021. Factors associated with Long COVID risk were identified by removing background associations and correcting for multiple tests. RESULTS: We observed complex association patterns between baseline factors and a variety of Long COVID conditions, and we highlight that severe acute SARS-CoV-2 infection, being underweight, and having baseline comorbidities (e.g., cancer and cirrhosis) are likely associated with increased risk of developing Long COVID. Several Long COVID conditions, e.g., dementia, malnutrition, chronic obstructive pulmonary disease, heart failure, PASC diagnosis U099, and acute kidney failure are well predicted (C-index > 0.8). Moderately predictable conditions include atelectasis, pulmonary embolism, diabetes, pulmonary fibrosis, and thromboembolic disease (C-index 0.7-0.8). Less predictable conditions include fatigue, anxiety, sleep disorders, and depression (C-index around 0.6). CONCLUSIONS: This observational study suggests that association patterns between investigated factors and Long COVID are complex, and the predictability of different Long COVID conditions varies. However, machine learning-based predictive models can help in identifying patients who are at risk of developing a variety of Long COVID conditions.

Most people who develop COVID-19 make a full recovery, but some go on to develop post-acute sequelae of SARS-CoV-2 infection, commonly known as Long COVID. Up to now, we did not know why some people are affected by Long COVID whilst others are not. We conducted a study to identify risk factors for Long COVID and developed a mathematical modeling approach to predict those at risk. We find that Long COVID is associated with some factors such as experiencing severe acute COVID-19, being underweight, and having conditions including cancer or cirrhosis. Due to the wide variety of symptoms defined as Long COVID, it may be challenging to come up with a set of risk factors that can predict the whole spectrum of Long COVID. However, our approach could be used to predict a variety of Long COVID conditions.

Community Pharmacist-Centered training program improves confidence in delivering epilepsy care.

RATIONALE: Incorporating pharmacists into interdisciplinary healthcare teams can improve patient outcomes across disease states; however, there is little evidence describing pharmacists' contributions to epilepsy care. Previous research from our group revealed that community pharmacists are well positioned to serve as patient advocates, monitor medications, and provide education for people living with epilepsy. However, pharmacists would like to receive additional training in epilepsy management. Advanced training in neurology is not a practical approach for community pharmacists who engage daily with patients having a variety of conditions and medications. OBJECTIVE: To develop and evaluate a flexible, community pharmacist-centered training program to improve both confidence and competence in delivering epilepsy care. METHODS: The training program consisted of five 1-hour, self-paced online modules and two 90-minute synchronous virtual sessions. Topics included the classification of the epilepsies, comorbid conditions, antiseizure medicine (ASM) therapy, special populations (pregnancy, people of childbearing potential, older adults), seizure emergencies, and sudden unexpected death in epilepsy (SUDEP), as well as social determinants of health. The training program was delivered over 6 weeks to pharmacists located at two community pharmacies in Washington State. Learning was assessed using a pre- and post-training questionnaire containing questions that evaluated knowledge and confidence in the training material. RESULTS: The training program did not significantly change pharmacists' mastery of the material. However, the pharmacists' confidence in delivering the material significantly improved in 14 of the 16 areas that were evaluated. Pharmacists' mastery and confidence were strongest in areas around ASM management, SUDEP and seizure emergencies, people of child-bearing potential and older adults with epilepsy, and comorbidities, whereas social health disparities in epilepsy care remained an area that required further training. CONCLUSION: Our findings support the idea that community pharmacists are well positioned with the knowledge to play an important role in epilepsy care. However, dedicated training tailored to community pharmacists' needs may improve their confidence in providing such care.

Transgenerational hormesis in healthy aging and antiaging medicine from bench to clinics: Role of food components.

Neurodegenerative diseases have multifactorial pathogenesis, mainly involving neuroinflammatory processes. Finding drugs able to treat these diseases, expecially because for most of these diseases there are no effective drugs, and the current drugs cause undesired side effects, represent a crucial point. Most in vivo and in vitro studies have been concentrated on various aspects related to neurons (e.g. neuroprotection), however, there has not been focus on the prevention of early stages involving glial cell activation and neuroinflammation. Recently, it has been demonstrated that nutritional phytochemicals including polyphenols, the main active constituents of the Mediterranean diet, maintain redox balance and neuroprotection through the activation of hormetic vitagene pathway. Recent lipidomics data from our laboratory indicate mushrooms as strong nutritional neuronutrients with strongly activity against neuroinflammation in Meniere' diseaseas, a model of cochleovestibular neural degeneration, as well as in animal model of traumatic brain injury, or rotenone induced parkinson's disease. Moreover, Hidrox®, an aqueous extract of olive containing hydroxytyrosol, and Boswellia, acting as Nrf2 activators, promote resilience by enhancing the redox potential, and thus, regulate through hormetic mechanisms, cellular stress response mechanisms., Thus, modulation of cellular stress pathways, in particular vitagenes system, may be an innovative approach for therapeutic intervention in neurodegenerative disorders.

The potential climate benefits of seaweed farming in temperate waters.

Seaweed farming is widely promoted as an approach to mitigating climate change despite limited data on carbon removal pathways and uncertainty around benefits and risks at operational scales. We explored the feasibility of climate change mitigation from seaweed farming by constructing five scenarios spanning a range of industry development in coastal British Columbia, Canada, a temperate region identified as highly suitable for seaweed farming. Depending on growth rates and the fate of farmed seaweed, our scenarios sequestered or avoided between 0.20 and 8.2 Tg CO2e year-1, equivalent to 0.3% and 13% of annual greenhouse gas emissions in BC, respectively. Realisation of climate benefits required seaweed-based products to replace existing, more emissions-intensive products, as marine sequestration was relatively inefficient. Such products were also key to reducing the monetary cost of climate benefits, with product values exceeding production costs in only one of the scenarios we examined. However, model estimates have large uncertainties dominated by seaweed production and emissions avoided, making these key priorities for future research. Our results show that seaweed farming could make an economically feasible contribute to Canada's climate goals if markets for value-added seaweed based products are developed. Moreover, our model demonstrates the possibility for farmers, regulators, and researchers to accurately quantify the climate benefits of seaweed farming in their regional contexts.

Expanding chemistry through in vitro and in vivo biocatalysis.

Living systems contain a vast network of metabolic reactions, providing a wealth of enzymes and cells as potential biocatalysts for chemical processes. The properties of protein and cell biocatalysts-high selectivity, the ability to control reaction sequence and operation in environmentally benign conditions-offer approaches to produce molecules at high efficiency while lowering the cost and environmental impact of industrial chemistry. Furthermore, biocatalysis offers the opportunity to generate chemical structures and functions that may be inaccessible to chemical synthesis. Here we consider developments in enzymes, biosynthetic pathways and cellular engineering that enable their use in catalysis for new chemistry and beyond.

From transthyretin cardiac amyloidosis diagnosis to tafamidis treatment: Association of drop-off with patient sociodemographic characteristics.

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: Compared to estimated population prevalence rates, relatively few patients at risk are diagnosed with and treated for transthyretin cardiac amyloidosis (ATTR-CA). Where along the clinical pathway patient drop-off occurs, as well as the association of drop-off with patient sociodemographic characteristics, remains unknown. METHODS: Using data from a healthcare system-wide cardiovascular imaging repository and specialty pharmacy, we characterized the clinical pathway from diagnosis with pyrophosphate scintigraphy (PYP) to tafamidis prescription, initiation, and adherence. Standardized differences (d values of ≥0.20, indicating at least a small effect size) were used to compare sociodemographics (age, sex, race, Area Deprivation Index) among patients with PYP-identified ATTR-CA by tafamidis prescription status and among patients prescribed tafamidis by initiation status. Tafamidis adherence was measured with the proportion of days covered (PDC). RESULTS: Of 97 patients with ATTR-CA, 58.8% were prescribed tafamidis, with 80.7% of those initiating therapy. Patients with ATTR-CA prescribed tafamidis were younger than those not prescribed tafamidis (d = -0.30). Utilization of a specialty pharmacy resulted in enrichment of treatment in subgroups traditionally undertreated in cardiovascular medicine, with higher rates of tafamidis initiation among women (100% initiation), patients of Black/African American race (d = 0.40), and those living in more economically disadvantaged areas (d ≥ 0.30). Adherence was high (PDC of >80%) in 88.4% of those initiating tafamidis. CONCLUSION: These findings highlight the tremendous opportunity for more robust ATTR-CA clinical programs, identifying potential patient subgroups that should be targeted to reduce disparities. For patients diagnosed with ATTR-CA, utilization of a specialty pharmacy process appears to ensure equitable provision of tafamidis therapy.

Neurocognitive Concepts of Arthroscopic Surgical Training.

¼ Arthroscopy is used to treat a broad variety of orthopaedic conditions.¼ The technical aspects of arthroscopic surgery are distinct from traditional open surgery and require different approaches to education and training.¼ There are neurocognitive concepts related to learning, memory, and performance that are recognized and understood in many fields and relevant but not commonly and specifically considered in orthopaedic surgery.¼ The purpose of this review was to introduce and discuss neurocognitive principles and concepts of visuospatial motor skill acquisition and proficiency to provide a background to support the development of arthroscopy educational curricula and training.

Cannabinoid Content and Label Accuracy of Various Hemp-Derived Haircare, Cosmetic, and Edible Products Available at Retail Stores and Online in the United States.

Aim: To evaluate the label accuracy and content of various hemp-derived cannabidiol (CBD) products (cannabinoid products with ≤0.3% Δ9-tetrahydrocannabinol [THC]), as well as evaluate advertised claims on product labels. Methods: Hemp haircare, cosmetics, and food/drink products that were advertised to contain CBD were purchased from retail stores in the Baltimore, Maryland area (purchased in July 2020) and online (purchased in August 2020). Cannabinoid concentrations were measured using gas chromatography-mass spectrometry. Percent deviations between labeled and actual CBD concentrations were determined. Label information such as references to the Food and Drug Administration (FDA), external testing claims, and other claims (i.e., cosmetic or beauty, therapeutic, health halo effect, or "other") were quantified. Results: Ninety-seven products were purchased (35 in-store, 62 online). Of the 71 products with a specific total CBD amount on the label, 35 (49%) were underlabeled (>10% more CBD than advertised), 27 (38%) were overlabeled (>10% less CBD than advertised), and 9 (12.7%) were accurately labeled (within ±10% of labeled CBD). The median (range) percentage deviations were -53% (-100%-76%) for haircare products, +18% (-100%-1076%) for cosmetics, and -1% (-100%-4468%) for food/drinks. CBD label accuracy did not differ significantly between products with external testing claims versus those without (t40 = 0.23, p = 0.82). Overall, 24% of the 97 (total) products made a cosmetic or beauty claim (e.g., "skin looks more youthful"), 40% made a therapeutic claim (e.g., "pain relief"), and 86% made a health halo effect claim (e.g., "paraben-free," "dye-free," etc.). Most products (63%) did not include a disclaimer that claims had not been evaluated by the FDA. Conclusions: Most of the products included in this sample were inaccurately labeled for CBD content, including those claiming to have been tested by third party laboratories. A notable finding was that 10 products did not contain any CBD. Many products made therapeutic claims or used marketing tactics to seemingly convey they were safe/healthy, but only about one-third included disclaimers that these statements had not been evaluated by the FDA. These findings highlight the need for proper regulatory oversight of cannabinoid-containing products to ensure quality assurance and deter misleading or unfounded health claims in product marketing.