High lymphocyte signature genes expression in parathyroid endocrine cells and its downregulation linked to tumorigenesis

• Published in: EBioMedicine Vol. 102; p. 105053
• Main Authors: Geng, Chong, Liu, Junjun, Guo, Bingzhou, Liu, Kailin, Gong, Pengfei, Wang, Bao, Wan, Qiang, Sun, Liang, Zhao, Jiajun, Song, Yongfeng
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.04.2024; Elsevier
• Subjects: Parathyroid; Parathyroid adenoma; Single-cell transcriptome; T-cell signature; Tumorigenesis; Single-cell transcriptome; Parathyroid adenoma; Tumorigenesis; Parathyroid; T-cell signature
• ISSN: 2352-3964; 2352-3964
• DOI: 10.1016/j.ebiom.2024.105053

To date, because of the difficulty in obtaining normal parathyroid gland samples in human or in animal models, our understanding of this last-discovered organ remains limited. In the present study, we performed a single-cell transcriptome analysis of six normal parathyroid and eight parathyroid adenoma samples using 10 × Genomics platform. We have provided a detailed expression atlas of parathyroid endocrine cells. Interestingly, we found an exceptional high expression levels of CD4 and CD226 in parathyroid endocrine cells, which were even higher than those in lymphocytes. This unusual expression of lymphocyte markers in parathyroid endocrine cells was associated with the depletion of CD4 T cells in normal parathyroid glands. Moreover, CD4 and CD226 expression in endocrine cells was significantly decreased in parathyroid adenomas, which was associated with a significant increase in Treg counts. Finally, along the developmental trajectory, we discovered the loss of POMC, ART5, and CES1 expression as the earliest signature of parathyroid hyperplasia. We propose that the loss of CD4 and CD226 expression in parathyroid endocrine cells, coupled with an elevated number of Treg cells, could be linked to the pathogenesis of parathyroid adenoma. Our data also offer valuable information for understanding the noncanonical function of CD4 molecule. This work was supported by the National Key R&D Program of China (2022YFA0806100), National Natural Science Foundation of China (82130025, 82270922, 31970636, 32211530422), Shandong Provincial Natural Science Foundation of China (ZR2020ZD14), Innovation Team of Jinan (2021GXRC048) and the Outstanding University Driven by Talents Program and Academic Promotion Program of Shandong First Medical University (2019LJ007).