The human whipworm, , is estimated to infect 289.6 million people globally. Control of human trichuriasis is a particular challenge, as most anthelmintics have a limited single-dose efficacy, with the striking exception of the narrow-spectrum anthelmintic, oxantel. We recently identified a novel ACR-16-like subunit from the pig whipworm, which gave rise to a functional acetylcholine receptor (nAChR) preferentially activated by oxantel. However, there is no ion channel described in the mouse model parasite so far. Here, we have identified the ACR-16-like and ACR-19 subunits from , and performed the functional characterization of the receptors in oocytes using two-electrode voltage-clamp electrophysiology. We found that the ACR-16-like subunit from formed a homomeric receptor gated by acetylcholine whereas the ACR-19 failed to create a functional channel. The subsequent pharmacological analysis of the -ACR-16-like receptor revealed that acetylcholine and oxantel were equally potent. The -ACR-16-like was more responsive to the toxic agonist epibatidine, but insensitive to pyrantel, in contrast to the -ACR-16-like receptor. These findings confirm that the ACR-16-like nAChR from spp. is a preferential drug target for oxantel, and highlights the pharmacological difference between species.
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http://dx.doi.org/10.3390/ph14070698 | DOI Listing |
Cancer Immunol Res
January 2025
Sun Yat-sen University, Guangzhou, China.
Despite the pivotal role of cytotoxic T lymphocytes (CTLs) in anti-tumor immunity, a substantial proportion of CTL-rich hepatocellular carcinoma (HCC) patients experience early relapse or immunotherapy resistance. However, spatial immune variations impacting the heterogeneous clinical outcomes of CTL-rich HCCs remain poorly understood. Here, we compared the single-cell and spatial landscapes of 20 CTL-rich HCCs with distinct prognoses using multiplexed in situ staining and validated the prognostic value of myeloid spatial patterns in a cohort of 386 patients.
View Article and Find Full Text PDFJAMA
January 2025
Division of Pediatric Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania.
Importance: T helper 2 (T2) cells and T helper 17 (T17) cells are CD4+ T cell subtypes involved in asthma. Characterizing asthma endotypes based on these cell types in diverse groups is important for developing effective therapies for youths with asthma.
Objective: To identify asthma endotypes in school-aged youths aged 6 to 20 years by examining the distribution and characteristics of transcriptomic profiles in nasal epithelium.
Inorg Chem
January 2025
Department of Material and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-10691 Stockholm, Sweden.
Zinc oxide (ZnO) is a semiconductor with a wide range of applications, and often the properties are modified by metal-ion doping. The distribution of dopant atoms within the ZnO crystal strongly affects the optical and magnetic properties, making it crucial to comprehend the structure down to the atomic level. Our study reveals the dopant structure and its contents in Eu-doped ZnO nanosponges with up to 20% Eu-O clusters.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Importance: CHEK2 pathogenic and likely pathogenic variants (PVs) are common, and low-risk (LR) variants, p.I157T, p.S428F, and p.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Measurements of cell phylogeny based on natural or induced mutations, known as lineage barcodes, in conjunction with molecular phenotype have become increasingly feasible for a large number of single cells. In this chapter, we delve into Quantitative Fate Mapping (QFM) and its computational pipeline, which enables the interrogation of the dynamics of progenitor cells and their fate restriction during development. The methods described here include inferring cell phylogeny with the Phylotime model, and reconstructing progenitor state hierarchy, commitment time, population size, and commitment bias with the ICE-FASE algorithm.
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