Clinical Research and Public Health
Abstract
Background: Despite growing preclinical evidence that glucagon-like peptide-1 receptor agonists (GLP-1RAs) could be repurposed to treat alcohol use disorder (AUD), clinical evidence is scarce. Additionally, the potential impact of dipeptidyl peptidase-4 inhibitors (DPP-4Is) on alcohol intake is largely unknown. Methods: We conducted a large cohort study using 2008-2023 electronic health records data from the U.S. Department of Veterans Affairs. Changes in Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) scores were compared between propensity-score-matched GLP-1RA recipients, DPP-4I recipients, and unexposed comparators. We further tested the effects of two DPP-4Is, linagliptin and omarigliptin, on binge-like alcohol drinking in mice and operant oral alcohol self-administration in alcohol-dependent rats, models previously used to show a significant effect of the GLP-1RA semaglutide in reducing alcohol intake. Results: GLP-1RA recipients reported a greater reduction in AUDIT-C scores than unexposed individuals [difference-in-difference: 0.09(0.03,0.14), p=0.0025] and DPP-4I recipients [difference-in-difference: 0.11(0.05,0.17), p=0.0002]. Reductions in drinking were more pronounced among individuals with baseline AUD [GLP-1RA vs. unexposed: 0.51(0.29,0.72), p<0.0001; GLP-1RA vs. DPP-4I: 0.65(0.43,0.88), p<0.0001] and baseline hazardous drinking [GLP-1RA vs. unexposed: 1.38(1.07,1.69), p<0.0001; GLP-1RA vs. DPP-4I: 1.00(0.68,1.33), p<0.0001]. There were no differences between DPP-4I recipients and unexposed individuals. The latter results were confirmed via a reverse translational approach. Specifically, neither linagliptin nor omarigliptin reduced alcohol drinking in mice or rats. The rodent experiments also confirmed target engagement as both DPP-4Is reduced blood glucose levels. Conclusion: Convergent findings across humans, mice, and rats indicate that GLP-1RAs but not DPP-4Is reduce alcohol consumption and may be efficacious in treating AUD.
Authors
Mehdi Farokhnia, John Tazare, Claire L. Pince, Nicolaus Bruns Vi, Joshua C. Gray, Vincent Lo Re III, David A. Fiellin, Henry R. Kranzler, George F. Koob, Amy C. Justice, Leandro F. Vendruscolo, Christopher T. Rentsch, Lorenzo Leggio
Abstract
BACKGROUND. Naïve cells comprise 90% of the CD4+ T-cell population in neonates and exhibit distinct age-specific capacities for proliferation and activation. We hypothesized that HIV-infected naïve CD4+ T-cell populations in children on long-term antiretroviral therapy (ART) would thus be distinct from infected memory cells. METHODS. Peripheral blood naïve and memory CD4+ T cells from 8 children with perinatal HIV on ART initiated at age 1.7-17 months were isolated by FACS. DNA was extracted from sorted cells and HIV proviruses counted, evaluated for intactness, and subjected to integration site analysis. RESULTS. Naïve CD4+ T cells containing HIV proviruses were detected in children with 95% statistical confidence. A median of 4.7% of LTR-containing naïve CD4+ T cells also contained HIV genetic elements consistent with intactness. Full-length proviral sequencing confirmed intactness of one provirus. In the participant with the greatest level of naïve cell infection, ISA revealed infected expanded cell clones in both naïve and memory T cells with no common HIV integration sites detected between subsets. Divergent integration site profiles reflected differential gene expression patterns of naïve and memory T cells. CONCLUSIONS. These results demonstrate that HIV persists in both naïve and memory CD4+ T cells that undergo clonal expansion and harbor intact proviruses, suggesting that infected memory T-cell clones do not frequently arise from naïve cell differentiation in children with perinatal HIV on long-term ART. FUNDING. Center for Cancer Research, NCI and Office of AIDS Research funding to MFK, NCI FLEX funding to JWR. Children’s and Emory JFF pilot to MM.
Authors
Mary Grace Katusiime, Victoria Neer, Shuang Guo, Sean C. Patro, Wenjie Wang, Brian Luke, Adam A. Capoferri, Xiaolin Wu, Anna M. Horner, Jason W. Rausch, Ann Chahroudi, Maud Mavigner, Mary F. Kearney
Abstract
BACKGROUND.Pneumocystis jirovecii pneumonia (PCP) is a leading cause of fungal pneumonia, but its diagnosis primarily relies on invasive bronchoalveolar lavage (BAL) specimens that are difficult to obtain. Oropharyngeal swabs and serum could improve the PCP diagnostic workflow, and we hypothesized that CRISPR could enhance assay sensitivity to allow robust P. jirovecii diagnosis using swabs and serum. Herein we describe the development of an ultrasensitive RT-PCR-coupled CRISPR assay with high active-infection specificity in infant swabs and adult BAL and serum. METHODS. Mouse analyses employed an RT-PCR CRISPR assay to analyze P. murina transcripts in wild-type and Rag2–/– mouse lung RNA, BAL, and serum at 2-, 4-, and 6-weeks post-infection. Human studies used an optimized RT-PCR CRISPR assay to detect P. jirovecii transcripts in infant oropharyngeal swab samples, adult serum, and adult BAL specimens from P. jirovecii-infected and P. jirovecii-non-infected patients. RESULTS. The P. murina assays sensitively detected Pneumocystis RNA in the serum of infected mice throughout infection. Oropharyngeal swab CRISPR assay results identified infants infected with P. jirovecii with greater sensitivity (96.3% vs. 66.7%) and specificity (100% vs. 90.6%) than RT-qPCR compared to mtLSU standard marker, and CRISPR results achieved higher sensitivity than RT-qPCR results (93.3% vs. 26.7%) in adult serum specimens. CONCLUSION. Since swabs are routinely collected in pediatric pneumonia patients and serum is easier to obtain than BAL, this assay approach could improve the accuracy and timing of pediatric and adult Pneumocystis diagnosis by achieving specificity for active infection and potentially avoiding the requirement for BAL specimens.
Authors
Brady M. Youngquist, Ayanda Trevor Mnguni, Dora Pungan, Rachel P.J. Lai, Guixiang Dai, Chun Fai Ng, Amy Samson, Yasmean Abdelgaliel, Christopher J. Lyon, Bo Ning, Shahid Husain, Sean Wasserman, Jay K. Kolls, Tony Y. Hu
Abstract
BACKGROUND Rapid diagnosis to facilitate urgent intervention is critical for treatment of acute spinal cord injury (SCI). We hypothesized that a multi-analyte blood biomarker would support point-of-care SCI diagnosis, correlate with injury severity, and predict long-term neurologic outcomes.METHODS Droplet digital PCR (ddPCR) assays were designed to amplify differentially hypomethylated genomic loci in spinal cord tissue. An optimized ddPCR assay was applied to cell-free DNA (cfDNA) from plasma samples collected from prospectively enrolled acute SCI patients. Targeted proteomic profiling was also performed. Spinal cord–derived cfDNA and plasma proteins were tested for their association with SCI and ability to predict conversion in American Spinal Injury Association (ASIA) score at 6 months.RESULTS A bespoke ddPCR assay detected spinal cord–derived cfDNA in plasma of 50 patients with acute SCI (AUC: 0.89, 95% CI 0.83–0.95, P < 0.0001). Levels of cfDNA were highest in patients with the most severe injury, i.e., ASIA A, compared with those with ASIA B (P = 0.04), ASIA C (P = 0.009), and ASIA D injuries (P < 0.001). Dimensionality reduction identified 4 candidate proteins (FABP3, REST, IL-6, NF-H) that were integrated with spinal cord–derived cfDNA to derive the Spinal Cord Injury Index (SCII), which has high sensitivity and specificity for SCI diagnosis (AUC: 0.91, 95% CI 0.82–0.99, P < 0.0001), correlates with injury severity (P < 0.0001), and predicts 6-month neurologic improvement (AUC: 0.77, 95% CI 0.61–0.93, P = 0.006).CONCLUSION The detection of spinal cord–derived cfDNA and plasma protein alterations as part of a multi-analyte blood test can inform SCI diagnosis and prognosis.FUNDING North American Spine Society Young Investigator Award; Morton Cure Paralysis Fund.
Authors
Tej D. Azad, Kathleen R. Ran, Joshua D. Materi, Divyaansh Raj, Timour Al-Khindi, Sameer Gabbita, Marvin Li, Elizabeth T. Wang, A. Karim Ahmed, Megan Parker, Anita L. Kalluri, Daniel Lubelski, Christopher M. Jackson, Daniel M. Sciubba, Jon D. Weingart, Ali Bydon, Timothy F. Witham, David W. Nauen, Srinivasan Yegnasubramanian, Nicholas Theodore, Chetan Bettegowda
Abstract
BACKGROUND. Current methods for detecting esophageal cancer (EC) are generally invasive or exhibit limited sensitivity and specificity, especially for the identification of early-stage tumors. METHODS. We identified potential methylated DNA markers (MDM) from multiple genomic regions in a discovery cohort and a diagnostic model was developed and verified in a model-verification cohort of 297 participants. The accuracy of the MDM panel was validated in a multicenter, prospective cohort (n = 1429). The clinical performance of identified MDMs were compared with current tumor-associated protein markers. RESULTS. From 31 significant differentially methylated EC-associated regions identified in the marker discovery, we trained and validated a 3-MDM diagnostic model that could discriminate among EC patients and Non-EC volunteers in a multicenter clinical prospective cohort with a sensitivity of 85.5% and a specificity of 95.3%. This panel showed higher sensitivity in diagnosing early-stage tumors, with sensitivities of 56% for Stage 0 and 77% for Stage I, comparing with the performance of current biochemical markers. In population with high risk for EC, the sensitivity and specificity are 85.68% and 93.61% respectively. CONCLUSION. The assessment of tumor-associated methylation status in blood samples can facilitate non-invasive, and reliable diagnosis of early-stage EC, which warrants further development to expand screening and reduce mortality rates. TRIAL REGISTRATION NUMBER. ChiCTR2400083525.
Authors
Ruixiang Zhang, Yongzhan Nie, Xiaobing Chen, Tao Jiang, Jinhai Wang, Yuhui Peng, Guangpeng Zhou, Yong Li, Lina Zhao, Beibei Chen, Yunfeng Ni, Yan Cheng, Yiwei Xu, Zhenyu Zhu, Xianchun Gao, Zhen Wu, Tianbao Li, Jie Zhao, Cantong Liu, Gang Zhao, Jiakuan Chen, Jing Zhao, Gang Ji, Xiaoliang Han, Jie He, Yin Li
Abstract
BACKGROUND. B7-H3 or CD276 is notably overexpressed in various malignant tumor cells in humans, with extremely high expression rates. The development of a radiotracer that targets B7-H3 may provide a universal tumor-specific imaging agent and allow the noninvasive assessment of the whole-body distribution of B7-H3-expressing lesions. METHODS. We enhanced and optimized the structure of an affibody (ABY) that targets B7-H3 to create the radiolabeled radiotracer [68Ga]Ga-B7H3-BCH, and then, we conducted both foundational experiments and clinical translational studies. RESULTS. [68Ga]Ga-B7H3-BCH exhibited high affinity (Kd = 4.5 nM), and it was taken up in large amounts by B7-H3-transfected cells (A549CD276 and H1975CD276 cells); these phenomena were inhibited by unlabeled precursors. Moreover, PET imaging of multiple xenograft models revealed extensive [68Ga]Ga-B7H3-BCH uptake by tumors. In a clinical study including 20 patients with malignant tumors, the [68Ga]Ga-B7H3-BCH signal aggregated in both primary and metastatic lesions, surpassing 18F-FDG in overall diagnostic efficacy for tumors (85.0% vs 81.7%), including differentiated hepatocellular and metastatic gastric cancers. A strong correlation between B7-H3 expression and [68Ga]Ga-B7H3-BCH uptake in tumors was observed, and B7-H3 expression was detected with 84.38% sensitivity and 100% specificity when an SUVmax of 3.85 was set as the cutoff value. Additionally, B7-H3-specific PET imaging is expected to predict B7H3 expression levels in tumor cells, intratumoral stroma and peritumoral tissues. CONCLUSION. In summary, [68Ga]Ga-B7H3-BCH has potential for the noninvasive identification of B7H3 expression in systemic lesions in patients with malignant tumors. This agent has prospects for improving pretreatment evaluation, predicting therapeutic responses, and monitoring resistance to therapy in patients with malignancies. TRIAL REGISTRATION. ClinicalTrials.gov NCT06454955. FUNDING. This research was financially supported by the Natural Science Foundation of Beijing Municipality (No. 7242266), the National Natural Science Foundation of China (No. 82202201), and the Young Elite Scientists Sponsorship Program by CAST (No. YESS20220230).
Authors
Lei Xia, Yan Wu, Yanan Ren, Zhen Wang, Nina Zhou, Wenyuan Zhou, Lixin Zhou, Ling Jia, Chengxue He, Xiangxi Meng, Hua Zhu, Zhi Yang
Abstract
Natural resistance to Mycobacterium tuberculosis (Mtb) infection in some people with HIV (PWH) is unexplained. We performed single cell RNA-sequencing of bronchoalveolar lavage cells, unstimulated or ex vivo stimulated with Mtb, for 7 PWH who were TST & IGRA positive (called LTBI) and 6 who were persistently TST & IGRA negative (called resisters). Alveolar macrophages (AM) from resisters displayed a baseline M1 macrophage phenotype while AM from LTBI did not. Resisters displayed alveolar lymphocytosis, with enrichment of all T cell subpopulations including IFNG-expressing cells. In both groups, mycobactericidal granulysin was expressed almost exclusively by a T cell subtype that co-expressed granzyme B, perforin and NK cell receptors. These poly-cytotoxic T lymphocytes (CTL) over-expressed activating NK cell receptors and were increased in resister BAL. Following challenge with Mtb, only Intraepithelial Lymphocytes-like cells from LTBI participants responded with increased transcription of IFNG. AM from resisters responded with a stronger TNF signature at 6h post-infection while at 24h post-infection AM from LTBI displayed a stronger IFN-γ signature. Conversely, at 24h post-infection only AM from resisters displayed a significant upregulation of MICA transcripts which encode an activating ligand for poly-CTL. These results suggest that poly-CTL and AM mediate the resister phenotype in PWH.
Authors
Monica Dallmann-Sauer, Vinicius M. Fava, Stephanus T. Malherbe, Candice E. MacDonald, Marianna Orlova, Elouise E. Kroon, Aurélie Cobat, Stéphanie Boisson-Dupuis, Eileen G. Hoal, Laurent Abel, Marlo Möller, Jean-Laurent Casanova, Gerhard Walzl, Nelita Du Plessis, Erwin Schurr
Abstract
Background: Myotonic dystrophy type 1 (DM1) is a multisystemic, CTG repeat expansion disorder characterized by a slow, progressive decline in skeletal muscle function. A biomarker correlating RNA mis-splicing, the core pathogenic disease mechanism, and muscle performance is crucial for assessing response to disease-modifying interventions. We evaluated the Myotonic Dystrophy Splice Index (SI), a composite RNA splicing biomarker incorporating 22 disease-specific events, as a potential biomarker of DM1 muscle weakness. Methods: Total RNA sequencing of tibialis anterior biopsies from 58 DM1 participants and 33 unaffected/disease controls was used to evaluate RNA splicing events across the disease spectrum. Targeted RNA sequencing was used to derive the SI from biopsies collected at baseline (n = 52) or a 3-month (n = 37) follow-up visit along with clinical measures of muscle performance. Results: The SI demonstrated significant associations with measures of muscle strength and ambulation, including ankle dorsiflexion strength (ADF) and 10-meter run/fast walk (Pearson r = -0.719 and -0.680, respectively). The SI was relatively stable over 3-months (ICC = 0.863). Latent-class analysis identified three DM1 subgroups stratified by baseline SI (SIMild, SIModerate, SISevere); SIModerate individuals had a significant increase in the SI over 3-months. Multiple linear regression modeling revealed that baseline ADF and SI were predictive of strength at 3-months (adjusted R² = 0.830). Conclusion: The SI is a reliable biomarker that captures associations of RNA mis-splicing with physical strength and mobility and has prognostic utility to predict future function, establishing it as a potential biomarker for assessment of therapeutic target engagement. Trial Registration: NCT03981575 Funding: FDA (7R01FD006071), Myotonic Dystrophy Foundation, Wyck Foundation, Muscular Dystrophy Association, Novartis, Dyne, Avidity, PepGen, Takeda, Sanofi Genzyme, Pfizer, Arthex, and Vertex Pharmaceuticals.
Authors
Marina Provenzano, Kobe Ikegami, Kameron Bates, Alison Gaynor, Julia M. Hartman, Aileen S. Jones, Amanda Butler, Kiera N. Berggren, Jeanne Dekdebrun, Man Hung, Dana M. Lapato, Michael Kiefer, Charles A. Thornton, Nicholas E. Johnson, Melissa A. Hale
Abstract
BACKGROUND. Previous epidemiologic studies of autoimmune diseases in the United States (US) have included a limited number of diseases or used meta-analyses that rely on different data collection methods and analyses for each disease. METHODS. To estimate the prevalence of autoimmune diseases in the US, we used electronic health record data from six large medical systems in the US. We developed a software program using common methodology to compute the estimated prevalence of autoimmune diseases alone and in aggregate that can be readily used by other investigators to replicate or modify the analysis over time. RESULTS. Our findings indicate that over 15 million people, or 4.6% of the US population, have been diagnosed with at least one autoimmune disease from January 1, 2011, to June 1, 2022, and 34% of those are diagnosed with more than one autoimmune disease. As expected, females (63% of those with autoimmune disease) were almost twice as likely as males to be diagnosed with an autoimmune disease. We identified the top 20 autoimmune diseases based on prevalence and according to sex and age. CONCLUSION. Thus, we provide, for the first time, a large-scale prevalence estimate of autoimmune disease in the US by sex and age. FUNDING. Autoimmune Registry Inc., the National Heart Lung and Blood Institute, the National Center for Advancing Translational Sciences, the Intramural Research Program of the National Institute of Environmental Health Sciences.
Authors
Aaron H. Abend, Ingrid He, Neil Bahroos, Stratos Christianakis, Ashley B. Crew, Leanna M. Wise, Gloria P. Lipori, Xing He, Shawn N. Murphy, Christopher D. Herrick, Jagannadha Avasarala, Mark G. Weiner, Jacob S. Zelko, Erica Matute-Arcos, Mark Abajian, Philip R.O. Payne, Albert M. Lai, Heath A. Davis, Asher A. Hoberg, Chris E. Ortman, Amit D. Gode, Bradley W. Taylor, Kristen I. Osinski, Damian N. Di Florio, Noel R. Rose, Frederick W. Miller, George C. Tsokos, DeLisa Fairweather
Abstract
BACKGROUND. Partial protective immunity to schistosomiasis develops over time, following repeated praziquantel treatment. Moreover, animals develop protective immunity after repeated immunisation with irradiated cercariae. Here, we evaluated development of natural immunity through consecutive exposure-treatment cycles with Schistosoma mansoni (Sm) in healthy, Schistosoma-naïve participants using single-sex controlled human Sm infection. METHODS. Twenty-four participants were randomised double-blind (1:1) to either the reinfection group, which received three exposures (week 0,9,18) to 20 male cercariae or the infection control group, which received two mock exposures with water (week 0,9) prior to cercariae exposure (week 18). Participants were treated with praziquantel (or placebo) at week 8, 17 and 30. Attack rates after the final exposure (week 19-30) using serum circulating anodic antigen (CAA) positivity were compared between groups. Adverse events were collected for safety. RESULTS. Twenty-three participants completed follow-up. No protective efficacy was seen, given 82% (9/11) attack rate after the final exposure in the reinfection group and 92% (11/12) in the infection control group (protective efficacy 11%; 95% CI -24% to 35%; p =0.5). Related adverse events were higher after the first infection (45%), compared to the second (27%) and third infection (28%). Severe acute schistosomiasis was observed after the first infections only (2/12 in reinfection group and 2/12 in infection control group). CONCLUSION. Repeated Schistosoma exposure and treatment cycles resulted in apparent clinical tolerance, with fewer symptoms reported with subsequent infections, but did not result in protection against reinfection. TRIAL REGISTRATION. ClinicalTrials.gov NCT05085470. FUNDING. ERC Starting grant (no. 101075876).
Authors
Jan Pieter R. Koopman, Emma L. Houlder, Jacqueline J. Janse, Olivia A.C. Lamers, Geert V.T. Roozen, Jeroen C. Sijtsma, Miriam Casacuberta-Partal, Stan T. Hilt, M.Y. Eileen C. van der Stoep, Inge M. van Amerongen-Westra, Eric A.T. Brienen, Linda J. Wammes, Lisette van Lieshout, Govert J. van Dam, Paul L.A.M. Corstjens, Angela van Diepen, Maria Yazdanbakhsh, Cornelis H. Hokke, Meta Roestenberg
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