Information is needed on the expression of transporters in lung to inform drug development and therapeutic decisions. Much of the information currently available is from semiquantitative gene expression or immunometric densitometry studies reported in the literature. NanoLC-MS/MS (MRM mode) isotope dilution targeted quantitative proteomics was used here to quantify twelve selected transporters in fresh human lung membrane fraction samples and in the membrane fraction of selected immortalized human lung epithelial cell line samples. Fractionation was undertaken by homogenization in crude membrane lysis buffer followed by differential centrifugation of the homogenate. In lung membranes we found OATPs to be the most highly expressed transporters of those measured, followed by PEPT2 and ABCs (P-gp & BCRP). SLC22A transporters (OCTs 2 & 3 and OCTN1) were also found to be expressed. OATP2A1, also known as the prostaglandin transporter, was the most highly expressed transporter, being low in two subjects who were at least occasional smokers. One subject, a non-smoker, had an OATP2A1 concentration that was 8.4 times higher than the next nearest concentration, which itself was higher than the concentration of any other transporter. OATP2A1 is known, from gene expression and animal functional studies, to be present in lung. These results inform the understanding of xenobiotic disposition in the lung and show the distinct profile of transporters in lung compared to other tissues.
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http://dx.doi.org/10.1016/j.jpba.2018.02.044 | DOI Listing |
Discov Oncol
January 2025
Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, No.1, Youyi Road, Yuzhong District, Chongqing, 400010, China.
Purpose: Nano-drug delivery systems (NDDS) have become a promising alternative and adjunctive strategy for lung cancer (LC) treatment. However, comprehensive bibliometric analyses examining global research efforts on NDDS in LC are scarce. This study aims to fill this gap by identifying key research trends, emerging hotspots, and collaboration networks within the field of NDDS and LC.
View Article and Find Full Text PDFPediatr Surg Int
January 2025
Department of Pediatric Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa, Nagoya, Aichi, 466-8550, Japan.
Purpose: To analyze the frequency and predictive factors of the development of postoperative pectus excavatum and scoliosis in children who underwent surgery for cystic lung disease.
Methods: This study examined patients who underwent surgery for cystic lung disease (open and thoracoscopic) between July 2000 and December 2018 with a > 3-year follow-up period. Lesion size, surgical outcomes, and subsequent musculoskeletal complications were compared between the open surgery and thoracoscopic surgery groups.
Clin Exp Med
January 2025
Pathology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Lung cancer is one of the major causes of cancer morbidity and mortality. Subtyping of non-small cell lung cancer is necessary owing to different treatment options. This study is to evaluate the value of immunohistochemical expression of glypican-1 in the diagnosis of lung squamous cell carcinoma (SCC).
View Article and Find Full Text PDFInflamm Res
January 2025
Department of Otolaryngology, Peking University Third Hospital, Haidian District, No. 49 Huayuan North Road, Beijing, 100191, People's Republic of China.
Background: Dysbiosis of the nasal microbiome is considered to be related to the acute exacerbation of chronic rhinosinusitis (AECRS). The microbiota in the nasal cavity of AECRS patients and its association with disease severity has rarely been studied. This study aimed to characterize nasal dysbiosis in a prospective cohort of patients with AECRS.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples.
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