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Wang X, He X, Li Z, Mu T, Pang L, Ma W, Hu X. Insight into dysregulated VEGF-related genes in diabetic retinopathy through bioinformatic analyses. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2025; 398:7199-7217. [PMID: 39725717 DOI: 10.1007/s00210-024-03638-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 11/14/2024] [Indexed: 12/28/2024]
Abstract
Diabetic retinopathy (DR) is a prevalent microvascular complication of diabetes mellitus. VEGF plays a pivotal role in the pathogenesis of DR. To characterize the VEGF-related genes in DR patients, the RNAseq dataset of DR and normal control were downloaded from the GEO database and analyzed using R package limma. The differentially expressed VEGFGs between DR and NC were identified, and their expression levels were verified through qRT-PCR and Western blotting. Enrichment analyses were performed to understand the key functions and involved pathways of DE-VEGFGs. A two-sample MR analysis was carried out to study the causal link between prostate cancer and DR. Next, we built a nomogram model to predict the risk of DR using the expression level of DE-VEGFGs. Additionally, we estimated the immune cell infiltration between clusters and calculated the correlation between DE-VEGFGs expression and immune cell infiltration in DR. The DGIdb database was used to identify potential target drug for DE-VEGFGs. Finally, we constructed a ceRNA regulation network with predictions from miRNA-mRNA interaction databases and miRNA-lncRNA interaction database. We identified six DE-VEGFGs that are involved in the regulation of the VEGF pathway. The two-sample MR analysis revealed a positive correlation between prostate cancer and the risk of DR. The nomogram which uses the DE-VEGFGs expression to predict the DR risk shows good performance based on the calibration curve and AUC value. Monocytes and T cells CD4 memory activated show different expression between DR and NC; meanwhile, these cell types were correlated with DE-VEGFGs. The drug-gene interaction network provides candidates for DR treatment, and the ceRNA regulation network suggests a potential biomarker for DR. Our study identified dysregulated VEGF-related genes in DR and emphasized their significance in the pathogenesis of DR. Additionally, our findings offer insights into their potential clinical predictive value, immune implications, targeting drug candidates, and regulatory network dynamics.
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Affiliation(s)
- Xiaoguang Wang
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China
| | - Xianglian He
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China
| | - Zhen Li
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China
| | - Tao Mu
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China
| | - Lin Pang
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China
| | - Weiguo Ma
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China
| | - Xuejun Hu
- Ningxia Hui Autonomous Region People's Hospital, Ningxia Eye Hospital, No. 301 Zhengyuan North Street, Jinfeng District, Yinchuan City, 750004, Ningxia Hui Autonomous, China.
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Tennant KS, Less EH, Raghanti MA, Amendolagine LA, Lukas KE, Willis MA, Dennis PM. Using an Oral Sugar Test to Biologically Validate the Use of a Commercial Enzyme Immunoassay to Measure Salivary Insulin in Western Lowland Gorillas (Gorilla gorilla gorilla). JOURNAL OF EXPERIMENTAL ZOOLOGY. PART A, ECOLOGICAL AND INTEGRATIVE PHYSIOLOGY 2025; 343:493-501. [PMID: 39868589 DOI: 10.1002/jez.2907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Revised: 01/07/2025] [Accepted: 01/12/2025] [Indexed: 01/28/2025]
Abstract
Noninvasive evaluations of hormones can contribute to the assessment of health and welfare of animals. Variations in insulin levels and sensitivity, for example, have been linked to health concerns in non-human and human primates including insulin resistance, diabetes, and heart disease, the leading cause of death in zoo-housed gorillas. Few published studies have assessed insulin concentrations in western lowland gorillas (Gorilla gorilla gorilla), and all did so using serum. Anesthesia is typically required to collect blood samples from zoo-housed gorillas, limiting sampling frequency and restricting samples to the fasted state. The ability to measure insulin levels in saliva would eliminate these constraints and provide a minimally invasive means for monitoring this hormone. The purpose of this study was to analytically and biologically validate the measurement of insulin in saliva of western lowland gorillas using a commercially available enzyme immunoassay. For validation, an oral sugar test was conducted on five adult gorillas residing at Cleveland Metroparks Zoo. Such assessments are common practice in both human and equine medicine to evaluate the body's insulin response to ingestion of sugars. The test involved measuring salivary insulin at timed intervals before and after gorillas consumed doses of sugar. Salivary insulin levels increased from 15 min post-sugar ingestion and peaked after 90 to 120 min. One female had a high response and peaked at 990.21 mU/L. The other four gorillas had peaks between 49.82 and 167.04 mU/L. The assessment provided a biological validation for the measurement of salivary insulin in western lowland gorillas.
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Affiliation(s)
- Kaylin S Tennant
- Zoological Programs, Cleveland Metroparks Zoo, Cleveland, Ohio, USA
- Biology Department, Case Western Reserve University, Cleveland, Ohio, USA
| | - Elena H Less
- Zoological Programs, Cleveland Metroparks Zoo, Cleveland, Ohio, USA
| | | | | | - Kristen E Lukas
- Zoological Programs, Cleveland Metroparks Zoo, Cleveland, Ohio, USA
- Biology Department, Case Western Reserve University, Cleveland, Ohio, USA
| | - Mark A Willis
- Biology Department, Case Western Reserve University, Cleveland, Ohio, USA
| | - Patricia M Dennis
- Zoological Programs, Cleveland Metroparks Zoo, Cleveland, Ohio, USA
- Biology Department, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Veterinary Preventive Medicine, Ohio State University, Columbus, Ohio, USA
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3
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Chen R, Yang C, Xiao H, Yang A, Chen C, Yang F, Peng B, Geng B, Xia Y. PRKD2 as a novel target for targeting the diabetes-osteoporosis nexus. Sci Rep 2025; 15:4703. [PMID: 39922871 PMCID: PMC11807170 DOI: 10.1038/s41598-025-89235-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Accepted: 02/04/2025] [Indexed: 02/10/2025] Open
Abstract
Diabetes mellitus (DM) and osteoporosis (OP) co-morbidity (DMOP) pose major health challenges owing to their complex pathophysiological interactions. The aim of this study was to identify and validate key genes implicated in the pathogenesis of both conditions. By employing the Mfuzz time-series gene clustering method combined with transcriptome sequencing of patient serum, we systematically delineated gene expression patterns during the transition from a healthy state through DM to DMOP. These findings were further validated using external datasets, and a series of functional enrichment analyses, gene set enrichment analyses, and immune cell infiltration studies were conducted. Our analyses revealed a distinct progression pattern from a normal state through DM to DMOP, characterized by dynamic gene expression changes. Notably, PRKD2 emerged as a significantly downregulated gene in DMOP, highlighting its crucial role in disease pathogenesis. Further analyses revealed the involvement of PRKD2 in key signaling pathways, especially the Wnt and IL-18 pathways, which are critical for bone and glucose metabolism. Validation in cellular and animal models confirmed the role of PRKD2 in apoptosis and bone metabolism, emphasizing its therapeutic potential. In conclusion, our findings establish PRKD2 as a pivotal molecule in DMOP, offering fresh insights into its mechanisms and affirming its value as a therapeutic target.
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Affiliation(s)
- Rongjin Chen
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
- Department of Orthopedics, Tianshui Hand and Foot Surgery Hospital, Tianshui, 741000, China
| | - Chenhui Yang
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
- Department of Orthopedics, Tianshui Hand and Foot Surgery Hospital, Tianshui, 741000, China
| | - Hefang Xiao
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
| | - Ao Yang
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
| | - Changshun Chen
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
| | - Fei Yang
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
| | - Bo Peng
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
| | - Bin Geng
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China
| | - Yayi Xia
- Department of Orthopedics, The Second Hospital of Lanzhou University, Lanzhou, 730030, China.
- Orthopedic Clinical Medical Research Center and Intelligent Orthopedic Industry Technology Center of Gansu Province, Lanzhou, 730030, China.
- The Second Clinical Medical School, Lanzhou University, Lanzhou, 730030, China.
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Yi G, Li Z, Sun Y, Ma X, Wang Z, Chen J, Cai D, Zhang Z, Chen Z, Wu F, Cao M, Fu M. Integration of multi-omics transcriptome-wide analysis for the identification of novel therapeutic drug targets in diabetic retinopathy. J Transl Med 2024; 22:1146. [PMID: 39719581 DOI: 10.1186/s12967-024-05856-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 11/02/2024] [Indexed: 12/26/2024] Open
Abstract
BACKGROUND Diabetic retinopathy (DR) is the most important complication of Type 2 Diabetes (T2D) in eyes. Despite its prevalence, the early detection and management of DR continue to pose considerable challenges. Our research aims to elucidate potent drug targets that could facilitate the identification of DR and propel advancements in its therapeutic strategies. METHODS A broad multi-omics exploration of DR was presented to decipher the drug targets of DR and proliferative diabetic retinopathy (PDR). Transcriptome-Wide Association Studies (TWAS), fine-mapping and conditional analysis were applied to unearth potential tissue-specific gene associations with DR. Summary Data-based Mendelian Randomization (SMR) provided secondary analysis of high confidence genes. Cis-instrument of druggable genes were extracted from the eQTLGen Consortium and PsychENCODE, facilitating drug-target MR supported by colocalization analysis. Phenome-Wide Association Studies (PheWAS) was conducted on the high confidence genes. Metabolomic and immunomic MR-profiling further augmented our research as complement. RESULTS TWAS identified multiple robust genetic loci in both DR and PDR (WFS1, RPS26, and SRPK1) through genetic associations across different tissues. Meanwhile, we have delineated both the commonalities and discrepancies between DR and PDR at the transcriptomic level, represented by DCLRE1B as the hub gene that DR progressed into PDR. SMR revealed 92 key DR-related genes and 55 PDR-related genes. HLA-DQ family genes have a frequent occurrence, while RPS26, WFS1 and SRPK1 were validated as the genetic network's linchpins. Drug-target MR casted ERBB3 and SRPK1 as candidate effector genes for DR and PDR susceptibility. In addition, metabolomics and immunomics analyses also revealed multifaceted pathogenic factors for DR. CONCLUSIONS Our research offers targeted therapeutic insights for early-stage DR and facilitates multi-omic comparisons of it and PDR.
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Affiliation(s)
- Guoguo Yi
- Department of Ophthalmology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
- The Department of Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhengran Li
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
- The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China
| | - Yuxin Sun
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
- The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China
| | - Xinyu Ma
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
| | - Zijin Wang
- The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China
| | - Jinken Chen
- School of Architecture, South China University of Technology, Guangzhou, Guangdong, China
| | - Dong Cai
- School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China
| | - Ziran Zhang
- The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China
| | - Zejun Chen
- The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China
| | - Fanye Wu
- The Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China
| | - Mingzhe Cao
- Department of Ophthalmology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong Province, China
| | - Min Fu
- Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China.
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5
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Rada P, Carceller-López E, Hitos AB, Gómez-Santos B, Fernández-Hernández C, Rey E, Pose-Utrilla J, García-Monzón C, González-Rodríguez Á, Sabio G, García A, Aspichueta P, Iglesias T, Valverde ÁM. Protein kinase D2 modulates hepatic insulin sensitivity in male mice. Mol Metab 2024; 90:102045. [PMID: 39401614 PMCID: PMC11535753 DOI: 10.1016/j.molmet.2024.102045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 09/30/2024] [Accepted: 10/07/2024] [Indexed: 10/21/2024] Open
Abstract
OBJECTIVES Protein kinase D (PKD) family is emerging as relevant regulator of metabolic homeostasis. However, the precise role of PKD2 in modulating hepatic insulin signaling has not been fully elucidated and it is the aim of this study. METHODS PKD inhibition was analyzed for insulin signaling in mouse and human hepatocytes. PKD2 was overexpressed in Huh7 hepatocytes and mouse liver, and insulin responses were evaluated. Mice with hepatocyte-specific PKD2 depletion (PKD2ΔHep) and PKD2fl/fl mice were fed a chow (CHD) or high fat diet (HFD) and glucose homeostasis and lipid metabolism were investigated. RESULTS PKD2 silencing enhanced insulin signaling in hepatocytes, an effect also found in primary hepatocytes from PKD2ΔHep mice. Conversely, a constitutively active PKD2 mutant reduced insulin-stimulated AKT phosphorylation. A more in-depth analysis revealed reduced IRS1 serine phosphorylation under basal conditions and increased IRS1 tyrosine phosphorylation in PKD2ΔHep primary hepatocytes upon insulin stimulation and, importantly PKD co-immunoprecipitates with IRS1. In vivo constitutively active PKD2 overexpression resulted in a moderate impairment of glucose homeostasis and reduced insulin signaling in the liver. On the contrary, HFD-fed PKD2ΔHep male mice displayed improved glucose and pyruvate tolerance, as well as higher peripheral insulin tolerance and enhanced hepatic insulin signaling compared to control PKD2fl/fl mice. Despite of a remodeling of hepatic lipid metabolism in HFD-fed PKD2ΔHep mice, similar steatosis grade was found in both genotypes. CONCLUSIONS Results herein have unveiled an unknown role of PKD2 in the control of insulin signaling in the liver at the level of IRS1 and point PKD2 as a therapeutic target for hepatic insulin resistance.
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Affiliation(s)
- Patricia Rada
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain.
| | - Elena Carceller-López
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Ana B Hitos
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Beatriz Gómez-Santos
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, Spain; BioBizkaia Health Research Institute, Barakaldo, Spain
| | - Constanza Fernández-Hernández
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
| | - Esther Rey
- Liver Research Unit, Santa Cristina University Hospital, Instituto de Investigación Sanitaria Princesa, Madrid, Spain
| | - Julia Pose-Utrilla
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Carmelo García-Monzón
- Liver Research Unit, Santa Cristina University Hospital, Instituto de Investigación Sanitaria Princesa, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
| | - Águeda González-Rodríguez
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain; Liver Research Unit, Santa Cristina University Hospital, Instituto de Investigación Sanitaria Princesa, Madrid, Spain
| | - Guadalupe Sabio
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain
| | - Antonia García
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, Spain
| | - Patricia Aspichueta
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country UPV/EHU, Leioa, Spain; BioBizkaia Health Research Institute, Barakaldo, Spain; Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
| | - Teresa Iglesias
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ángela M Valverde
- Instituto de Investigaciones Biomédicas Sols-Morreale (IIBM), Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain.
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Fleming Martinez AK, Storz P. Protein kinase D1 - A targetable mediator of pancreatic cancer development. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2024; 1871:119646. [PMID: 38061566 PMCID: PMC10872883 DOI: 10.1016/j.bbamcr.2023.119646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 10/17/2023] [Accepted: 11/30/2023] [Indexed: 01/14/2024]
Abstract
Members of the Protein kinase D (PKD) kinase family each play important cell-specific roles in the regulation of normal pancreas functions. In pancreatic diseases PKD1 is the most widely characterized isoform with roles in pancreatitis and in induction of pancreatic cancer and its progression. PKD1 expression and activation increases in pancreatic acinar cells through macrophage secreted factors, Kirsten rat sarcoma viral oncogene homolog (KRAS) signaling, and reactive oxygen species (ROS), driving the formation of precancerous lesions. In precancerous lesions PKD1 regulates cell survival, growth, senescence, and generation of doublecortin like kinase 1 (DCLK1)-positive cancer stem cells (CSCs). Within tumors, regulation by PKD1 includes chemoresistance, apoptosis, proliferation, CSC features, and the Warburg effect. Thus, PKD1 plays a critical role throughout pancreatic disease initiation and progression.
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Affiliation(s)
| | - Peter Storz
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
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Guo CG, Sun R, Wang X, Yuan Y, Xu Y, Li S, Sun X, Wang J, Hu X, Guo T, Chen XW, Xiao RP, Zhang X. Intestinal SURF4 is essential for apolipoprotein transport and lipoprotein secretion. Mol Metab 2024; 79:101847. [PMID: 38042368 PMCID: PMC10755498 DOI: 10.1016/j.molmet.2023.101847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/04/2023] Open
Abstract
OBJECTIVE Lipoprotein assembly and secretion in the small intestine are critical for dietary fat absorption. Surfeit locus protein 4 (SURF4) serves as a cargo receptor, facilitating the cellular transport of multiple proteins and mediating hepatic lipid secretion in vivo. However, its involvement in intestinal lipid secretion is not fully understood. In this study, we investigated the role of SURF4 in intestinal lipid absorption. METHODS We generated intestine-specific Surf4 knockout mice and characterized the phenotypes. Additionally, we investigated the underlying mechanisms of SURF4 in intestinal lipid secretion using proteomics and cellular models. RESULTS We unveiled that SURF4 is indispensable for apolipoprotein transport and lipoprotein secretion. Intestine-specific Surf4 knockout mice exhibited ectopic lipid deposition in the small intestine and hypolipidemia. Deletion of SURF4 impeded the transport of apolipoprotein A1 (ApoA1), proline-rich acidic protein 1 (PRAP1), and apolipoprotein B48 (ApoB48) and hindered the assembly and secretion of chylomicrons and high-density lipoproteins. CONCLUSIONS SURF4 emerges as a pivotal regulator of intestinal lipid absorption via mediating the secretion of ApoA1, PRAP1 and ApoB48.
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Affiliation(s)
- Chun-Guang Guo
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Rui Sun
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, China
| | - Xiao Wang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Ye Yuan
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Yan Xu
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Shihan Li
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Xueting Sun
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Jue Wang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Xinli Hu
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, China
| | - Xiao-Wei Chen
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.
| | - Rui-Ping Xiao
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.
| | - Xiuqin Zhang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China.
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8
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Chen W, Cui W, Wu J, Zheng W, Sun X, Zhang J, Shang H, Yuan Y, Li X, Wang J, Hu X, Chen L, Zeng F, Xiao RP, Zhang X. Blocking IL-6 signaling improves glucose tolerance via SLC39A5-mediated suppression of glucagon secretion. Metabolism 2023:155641. [PMID: 37380017 DOI: 10.1016/j.metabol.2023.155641] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND AND AIMS Hyperinsulinemia, hyperglucagonemia, and low-grade inflammation are frequently presented in obesity and type 2 diabetes (T2D). The pathogenic regulation between hyperinsulinemia/insulin resistance (IR) and low-grade inflammation is well documented in the development of diabetes. However, the cross-talk of hyperglucagonemia with low-grade inflammation during diabetes progression is poorly understood. In this study, we investigated the regulatory role of proinflammatory cytokine interleukin-6 (IL-6) on glucagon secretion. METHODS The correlations between inflammatory cytokines and glucagon or insulin were analyzed in rhesus monkeys and humans. IL-6 signaling was blocked by IL-6 receptor-neutralizing antibody tocilizumab in obese or T2D rhesus monkeys, glucose tolerance was evaluated by intravenous glucose tolerance test (IVGTT). Glucagon and insulin secretion were measured in isolated islets from wild-type mouse, primary pancreatic α-cells and non-α-cells sorted from GluCre-ROSA26EYFP (GYY) mice, in which the enhanced yellow fluorescent protein (EYFP) was expressed under the proglucagon promoter, by fluorescence-activated cell sorting (FACS). Particularly, glucagon secretion in α-TC1 cells treated with IL-6 was measured, and RNA sequencing was used to screen the mediator underlying IL-6-induced glucagon secretion. SLC39A5 was knocking-down or overexpressed in α-TC1 cells to determine its impact in glucagon secretion and cytosolic zinc density. Dual luciferase and chromatin Immunoprecipitation were applied to analyze the signal transducer and activator of transcription 3 (STAT3) in the regulation of SLC39A5 transcription. RESULTS Plasma IL-6 correlate positively with plasma glucagon levels, but not insulin, in rhesus monkeys and humans. Tocilizumab treatment reduced plasma glucagon, blood glucose and HbA1c in spontaneously obese or T2D rhesus monkeys. Tocilizumab treatment also decreased glucagon levels during IVGTT, and improved glucose tolerance. Moreover, IL-6 significantly increased glucagon secretion in isolated islets, primary pancreatic α-cells and α-TC1 cells. Mechanistically, we found that IL-6-activated STAT3 downregulated the zinc transporter SLC39A5, which in turn reduced cytosolic zinc concentration and ATP-sensitive potassium channel activity and augmented glucagon secretion. CONCLUSIONS This study demonstrates that IL-6 increases glucagon secretion via the downregulation of zinc transporter SLC39A5. This result revealed the molecular mechanism underlying the pathogenesis of hyperglucagonemia and a previously unidentified function of IL-6 in the pathophysiology of T2D, providing a potential new therapeutic strategy of targeting IL-6/glucagon to preventing or treating T2D.
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Affiliation(s)
- Wenli Chen
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Weiyi Cui
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Jianhong Wu
- Department of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, China
| | - Wen Zheng
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Xueting Sun
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Jie Zhang
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Haibao Shang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Ye Yuan
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Xue Li
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China
| | - Jue Wang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Xinli Hu
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China
| | - Liangyi Chen
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China; National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China; State Key Laboratory of Biomembrane and Membrane Biotechnology, Peking-Tsinghua Center for Life Sciences, Beijing 100871, China
| | - Fanxin Zeng
- Department of Clinical Research Center, Dazhou Central Hospital, Dazhou 635000, China.
| | - Rui-Ping Xiao
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China; State Key Laboratory of Biomembrane and Membrane Biotechnology, Peking-Tsinghua Center for Life Sciences, Beijing 100871, China.
| | - Xiuqin Zhang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China; National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
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9
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McAllan L, Baranasic D, Villicaña S, Brown S, Zhang W, Lehne B, Adamo M, Jenkinson A, Elkalaawy M, Mohammadi B, Hashemi M, Fernandes N, Lambie N, Williams R, Christiansen C, Yang Y, Zudina L, Lagou V, Tan S, Castillo-Fernandez J, King JWD, Soong R, Elliott P, Scott J, Prokopenko I, Cebola I, Loh M, Lenhard B, Batterham RL, Bell JT, Chambers JC, Kooner JS, Scott WR. Integrative genomic analyses in adipocytes implicate DNA methylation in human obesity and diabetes. Nat Commun 2023; 14:2784. [PMID: 37188674 PMCID: PMC10185556 DOI: 10.1038/s41467-023-38439-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 05/03/2023] [Indexed: 05/17/2023] Open
Abstract
DNA methylation variations are prevalent in human obesity but evidence of a causative role in disease pathogenesis is limited. Here, we combine epigenome-wide association and integrative genomics to investigate the impact of adipocyte DNA methylation variations in human obesity. We discover extensive DNA methylation changes that are robustly associated with obesity (N = 190 samples, 691 loci in subcutaneous and 173 loci in visceral adipocytes, P < 1 × 10-7). We connect obesity-associated methylation variations to transcriptomic changes at >500 target genes, and identify putative methylation-transcription factor interactions. Through Mendelian Randomisation, we infer causal effects of methylation on obesity and obesity-induced metabolic disturbances at 59 independent loci. Targeted methylation sequencing, CRISPR-activation and gene silencing in adipocytes, further identifies regional methylation variations, underlying regulatory elements and novel cellular metabolic effects. Our results indicate DNA methylation is an important determinant of human obesity and its metabolic complications, and reveal mechanisms through which altered methylation may impact adipocyte functions.
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Affiliation(s)
- Liam McAllan
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
- MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Damir Baranasic
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
- MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Sergio Villicaña
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Scarlett Brown
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
- MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Marco Adamo
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London, NW1 2PG, UK
| | - Andrew Jenkinson
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London, NW1 2PG, UK
| | - Mohamed Elkalaawy
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London, NW1 2PG, UK
| | - Borzoueh Mohammadi
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London, NW1 2PG, UK
| | - Majid Hashemi
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London, NW1 2PG, UK
| | - Nadia Fernandes
- Imperial BRC Genomics Facility, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Nathalie Lambie
- Imperial BRC Genomics Facility, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Richard Williams
- Imperial BRC Genomics Facility, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
| | - Colette Christiansen
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- School of Mathematics and Statistics, Faculty of Science, Technology, Engineering and Mathematics, The Open University, Milton Keynes, UK
| | - Youwen Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- School of Cardiovascular and Metabolic Medicine and Sciences, James Black Centre, King's College London British Heart Foundation Centre of Excellence, 125 Coldharbour Lane, London, SE5 9NU, UK
| | - Liudmila Zudina
- Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
| | - Vasiliki Lagou
- Department of Microbiology and Immunology, Laboratory of Adaptive Immunity, KU Leuven, Leuven, Belgium
- VIB-KU Leuven Center for Brain and Disease Research, Leuven, Belgium
| | - Sili Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | | | - James W D King
- MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Richie Soong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Department of Pathology, National University Hospital, Singapore, Singapore
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- National Institute for Health Research Biomedical Research Centre, Imperial College London, London, UK
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
- Imperial College Healthcare NHS Trust, London, W12 0HS, UK
| | - Inga Prokopenko
- Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- People-Centred Artificial Intelligence Institute, University of Surrey, Guildford, UK
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre Russian Academy of Sciences, Ufa, Russian Federation
| | - Inês Cebola
- Section of Genetics and Genomics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Marie Loh
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, Immunos, Level 5, Singapore, 138648, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Boris Lenhard
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK
- MRC London Institute of Medical Sciences, London, W12 0NN, UK
| | - Rachel L Batterham
- UCLH Bariatric Centre for Weight Loss, Weight Management and Metabolic and Endocrine Surgery, University College London Hospitals, Ground Floor West Wing, 250 Euston Road, London, NW1 2PG, UK
- Centre for Obesity Research, Rayne Institute, Department of Medicine, University College, London, WC1E 6JJ, UK
- National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, W1T 7DN, UK
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - John C Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, London, W12 0HS, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, Middlesex, UB1 3HW, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK
- Imperial College Healthcare NHS Trust, London, W12 0HS, UK
| | - William R Scott
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, W12 0NN, UK.
- MRC London Institute of Medical Sciences, London, W12 0NN, UK.
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK.
- Imperial College Healthcare NHS Trust, London, W12 0HS, UK.
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10
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Potential role for protein kinase D inhibitors in prostate cancer. J Mol Med (Berl) 2023; 101:341-349. [PMID: 36843036 DOI: 10.1007/s00109-023-02298-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 02/01/2023] [Accepted: 02/10/2023] [Indexed: 02/28/2023]
Abstract
Protein kinase D (PrKD), a novel serine-threonine kinase, belongs to a family of calcium calmodulin kinases that consists of three isoforms: PrKD1, PrKD2, and PrKD3. The PrKD isoforms play a major role in pathologic processes such as cardiac hypertrophy and cancer progression. The charter member of the family, PrKD1, is the most extensively studied isoform. PrKD play a dual role as both a proto-oncogene and a tumor suppressor depending on the cellular context. The duplicity of PrKD can be highlighted in advanced prostate cancer (PCa) where expression of PrKD1 is suppressed whereas the expressions of PrKD2 and PrKD3 are upregulated to aid in cancer progression. As understanding of the PrKD signaling pathways has been better elucidated, interest has been garnered in the development of PrKD inhibitors. The broad-spectrum kinase inhibitor staurosporine acts as a potent PrKD inhibitor and is the most well-known; however, several other novel and more specific PrKD inhibitors have been developed over the last two decades. While there is tremendous potential for PrKD inhibitors to be used in a clinical setting, none has progressed beyond preclinical trials due to a variety of challenges. In this review, we focus on PrKD signaling in PCa and the potential role of PrKD inhibitors therein, and explore the possible clinical outcomes based on known function and expression of PrKD isoforms at different stages of PCa.
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11
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Jiao Y, Williams A, Wei N. Quercetin ameliorated insulin resistance via regulating METTL3-mediated N6-methyladenosine modification of PRKD2 mRNA in skeletal muscle and C2C12 myocyte cell line. Nutr Metab Cardiovasc Dis 2022; 32:2655-2668. [PMID: 36058761 DOI: 10.1016/j.numecd.2022.06.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/22/2022] [Accepted: 06/24/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND AIMS N6-Methyladenosine (m6A) modification is involved in many pathological processes, including insulin resistance (IR). Quercetin (Que), a bioactive compound with strong antioxidant activity, has potential therapeutic effects on IR-related metabolic diseases. The aim of this study is to investigate the roles of m6A and Que in hyperinsulinemia. METHODS AND RESULTS Male C57Bl/6 mice received a high-fat diet (HFD) for 8 weeks to establish an IR model. Que treatment reduced the body weight, blood glucose, plasma triglycerides (TG) and serum insulin, ameliorated IR, and decreased oxidative stress in HFD-fed mice. Cellular IR model was established in C2C12 cells by palmitic acid (PA) stimulation, and a noncytotoxic dose of Que was found to promote glucose uptake and inhibit oxidative stress. Moreover, methyltransferase-like 3 (METTL3) and serine-threonine kinase protein kinase D2 (PRKD2) was downregulated in skeletal muscle of HFD-fed mouse and in PA-induced C2C12 cells. The online bioinformatic tool SRAMP revealed that there were multiple m6A modification sites in the PRKD2 mRNA sequence. Downregulation of METTL3 enhanced PRKD2 expression by reducing m6A level and promoting mRNA stability in PRKD2 mRNA transcript. Que decreased m6A, METTL3, and phosphorylated insulin receptor substrate 1 (p-IRS1) levels, increased the protein expression of PRKD2, glucose transporter type 4 (GLUT4) and p-AKT, promoted glucose uptake, and reduced oxidative stress in PA-induced C2C12 cells. Moreover, METTL3 overexpression or PRKD2 silence reversed the inhibitory effects of Que on the levels of MDA and p-IRS1 and the promotive effects on glucose uptake, superoxide dismutase (SOD), GSH and GLUT4 and p-AKT levels. CONCLUSION Que promoted glucose uptake, repressed oxidative stress and improved IR through METTL3-mediated m6A of PRKD2 mRNA.
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Affiliation(s)
- Yang Jiao
- Department of Endocrinology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710068, Shaanxi Province, China
| | - Albert Williams
- LKS Faculty of Medicine, The University of Hongkong, Hongkong 999077, China
| | - Ning Wei
- College of Animal Science and Technology, Northwest A & F University, Yangling 712100, Shaanxi Province, China.
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12
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Li J, Zhang J, Xu M, Yang Z, Yue S, Zhou W, Gui C, Zhang H, Li S, Wang PG, Yang S. Advances in glycopeptide enrichment methods for the analysis of protein glycosylation over the past decade. J Sep Sci 2022; 45:3169-3186. [PMID: 35816156 DOI: 10.1002/jssc.202200292] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 06/16/2022] [Accepted: 07/01/2022] [Indexed: 11/12/2022]
Abstract
Advances in bioanalytical technology have accelerated the analysis of complex protein glycosylation, which is beneficial to understanding glycosylation in drug discovery and disease diagnosis. Due to its biological uniqueness in the course of disease occurrence and development, disease-specific glycosylation requires quantitative characterization of protein glycosylation. We provide a comprehensive review of recent advances in glycosylation analysis, including workflows for glycoprotein digestion, glycopeptide separation and enrichment, and mass-spectrometry sequencing. We specifically focus on different strategies for glycopeptide enrichment through physical interaction, chemical oxidation, or metabolic labeling of intact glycopeptides. The recent advances and challenges of O-glycosylation analysis are presented, and the development of improved enrichment methods combining different proteases to analyze O-glycosylation is also proposed. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jiajia Li
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Jie Zhang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Mingming Xu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Zeren Yang
- AstraZeneca, Medimmune Ct, Frederick, MD, 21703, USA
| | - Shuang Yue
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Wanlong Zhou
- U.S. Food and Drug Administration, Forensic Chemistry Center, Cincinnati, OH, 45237, USA
| | - Chunshan Gui
- Department of Pharmaceutical Analysis, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Haiyang Zhang
- Department of Pharmaceutical Analysis, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
| | - Shuwei Li
- Nanjing Apollomics Biotech, Inc., Nanjing, Jiangsu, 210033, China
| | - Perry G Wang
- U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, 20740, USA
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.,Department of Pharmaceutical Analysis, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China
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13
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Xing J, Chen C. Hyperinsulinemia: beneficial or harmful or both on glucose homeostasis. Am J Physiol Endocrinol Metab 2022; 323:E2-E7. [PMID: 35635329 DOI: 10.1152/ajpendo.00441.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Insulin, a principal anabolic hormone produced by pancreatic β-cells, has a primary function of storage of nutrients following excessive energy intake. Pre- or early type 2 diabetes stages present hyperinsulinemia (β-cell dysfunction) and insulin resistance. Initiation of hyperinsulinemia is triggered by a loss of first-phase glucose-stimulated insulin secretion with altered membrane ion channel distribution. More factors, including insulin resistance and excessive proliferation of β-cells, deteriorate the hyperinsulinemia, whereas the hyperinsulinemia contributes to further development of insulin resistance and type 2 diabetes; to develop eventually late-stage diabetes with absolute insulin deficiency. In this mini-review, the major focus was put on the causes and pathophysiology of hyperinsulinemia, and the metabolic consequences and current treatment of hyperinsulinemia were discussed. The data used in this narrative review were collected mainly from relevant discoveries in the past 3 years.
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Affiliation(s)
- JingJing Xing
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Chen Chen
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
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14
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Roberts BS, Yang CQ, Neher SB. Characterization of lipoprotein lipase storage vesicles in 3T3-L1 adipocytes. J Cell Sci 2022; 135:jcs258734. [PMID: 34382637 PMCID: PMC8403984 DOI: 10.1242/jcs.258734] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/10/2021] [Indexed: 12/12/2022] Open
Abstract
Lipoprotein lipase (LPL) is a secreted triglyceride lipase involved in the clearance of very-low-density lipoproteins and chylomicrons from circulation. LPL is expressed primarily in adipose and muscle tissues and transported to the capillary lumen. LPL secretion is regulated by insulin in adipose tissue; however, few studies have examined the regulatory and trafficking steps involved in secretion. Here, we describe the intracellular localization and insulin-dependent trafficking of LPL in 3T3-L1 adipocytes. We compared LPL trafficking to the better characterized trafficking pathways taken by leptin and GLUT4 (also known as SLC2A4). We show that the LPL trafficking pathway shares some characteristics of these other pathways, but that LPL subcellular localization and trafficking are distinct from those of GLUT4 and leptin. LPL secretion occurs slowly in response to insulin and rapidly in response to the Ca2+ ionophore ionomycin. This regulated trafficking is dependent on Golgi protein kinase D and the ADP-ribosylation factor GTPase ARF1. Together, these data give support to a new trafficking pathway for soluble cargo that is active in adipocytes.
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Affiliation(s)
| | | | - Saskia B. Neher
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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15
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Aravani D, Kassi E, Chatzigeorgiou A, Vakrou S. Cardiometabolic Syndrome: An Update on Available Mouse Models. Thromb Haemost 2021; 121:703-715. [PMID: 33280078 DOI: 10.1055/s-0040-1721388] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Cardiometabolic syndrome (CMS), a disease entity characterized by abdominal obesity, insulin resistance (IR), hypertension, and hyperlipidemia, is a global epidemic with approximately 25% prevalence in adults globally. CMS is associated with increased risk for cardiovascular disease (CVD) and development of diabetes. Due to its multifactorial etiology, the development of several animal models to simulate CMS has contributed significantly to the elucidation of the disease pathophysiology and the design of therapies. In this review we aimed to present the most common mouse models used in the research of CMS. We found that CMS can be induced either by genetic manipulation, leading to dyslipidemia, lipodystrophy, obesity and IR, or obesity and hypertension, or by administration of specific diets and drugs. In the last decade, the ob/ob and db/db mice were the most common obesity and IR models, whereas Ldlr-/- and Apoe-/- were widely used to induce hyperlipidemia. These mice have been used either as a single transgenic or combined with a different background with or without diet treatment. High-fat diet with modifications is the preferred protocol, generally leading to increased body weight, hyperlipidemia, and IR. A plethora of genetically engineered mouse models, diets, drugs, or synthetic compounds that are available have advanced the understanding of CMS. However, each researcher should carefully select the most appropriate model and validate its consistency. It is important to consider the differences between strains of the same animal species, different animals, and most importantly differences to human when translating results.
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Affiliation(s)
- Dimitra Aravani
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Eva Kassi
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Antonios Chatzigeorgiou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Institute for Clinical Chemistry and Laboratory Medicine, University Hospital and Faculty of Medicine Carl Gustav Carus of TU Dresden, Dresden, Germany
| | - Styliani Vakrou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Department of Cardiology, "Laiko" General Hospital, Athens, Greece
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16
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Trujillo‐Viera J, El‐Merahbi R, Schmidt V, Karwen T, Loza‐Valdes A, Strohmeyer A, Reuter S, Noh M, Wit M, Hawro I, Mocek S, Fey C, Mayer AE, Löffler MC, Wilhelmi I, Metzger M, Ishikawa E, Yamasaki S, Rau M, Geier A, Hankir M, Seyfried F, Klingenspor M, Sumara G. Protein Kinase D2 drives chylomicron-mediated lipid transport in the intestine and promotes obesity. EMBO Mol Med 2021; 13:e13548. [PMID: 33949105 PMCID: PMC8103097 DOI: 10.15252/emmm.202013548] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 03/16/2021] [Accepted: 03/17/2021] [Indexed: 12/12/2022] Open
Abstract
Lipids are the most energy-dense components of the diet, and their overconsumption promotes obesity and diabetes. Dietary fat content has been linked to the lipid processing activity by the intestine and its overall capacity to absorb triglycerides (TG). However, the signaling cascades driving intestinal lipid absorption in response to elevated dietary fat are largely unknown. Here, we describe an unexpected role of the protein kinase D2 (PKD2) in lipid homeostasis. We demonstrate that PKD2 activity promotes chylomicron-mediated TG transfer in enterocytes. PKD2 increases chylomicron size to enhance the TG secretion on the basolateral side of the mouse and human enterocytes, which is associated with decreased abundance of APOA4. PKD2 activation in intestine also correlates positively with circulating TG in obese human patients. Importantly, deletion, inactivation, or inhibition of PKD2 ameliorates high-fat diet-induced obesity and diabetes and improves gut microbiota profile in mice. Taken together, our findings suggest that PKD2 represents a key signaling node promoting dietary fat absorption and may serve as an attractive target for the treatment of obesity.
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Affiliation(s)
- Jonathan Trujillo‐Viera
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Rabih El‐Merahbi
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Vanessa Schmidt
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Till Karwen
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Angel Loza‐Valdes
- Nencki Institute of Experimental BiologyPolish Academy of SciencesWarszawaPoland
| | - Akim Strohmeyer
- Chair for Molecular Nutritional MedicineTechnical University of MunichTUM School of Life Sciences WeihenstephanFreisingGermany
- EKFZ ‐ Else Kröner‐Fresenius‐Center for Nutritional MedicineTechnical University of MunichMunichGermany
- ZIEL ‐ Institute for Food & HealthTechnical University of MunichFreisingGermany
| | - Saskia Reuter
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Minhee Noh
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Magdalena Wit
- Nencki Institute of Experimental BiologyPolish Academy of SciencesWarszawaPoland
| | - Izabela Hawro
- Nencki Institute of Experimental BiologyPolish Academy of SciencesWarszawaPoland
| | - Sabine Mocek
- Chair for Molecular Nutritional MedicineTechnical University of MunichTUM School of Life Sciences WeihenstephanFreisingGermany
- EKFZ ‐ Else Kröner‐Fresenius‐Center for Nutritional MedicineTechnical University of MunichMunichGermany
- ZIEL ‐ Institute for Food & HealthTechnical University of MunichFreisingGermany
| | - Christina Fey
- Fraunhofer Institute for Silicate Research (ISC)Translational Center Regenerative Therapies (TLC‐RT)WürzburgGermany
| | - Alexander E Mayer
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Mona C Löffler
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
| | - Ilka Wilhelmi
- Department of Experimental DiabetologyGerman Institute of Human Nutrition Potsdam‐RehbrueckeNuthetalGermany
- German Center for Diabetes Research (DZD)München‐NeuherbergGermany
| | - Marco Metzger
- Fraunhofer Institute for Silicate Research (ISC)Translational Center Regenerative Therapies (TLC‐RT)WürzburgGermany
| | - Eri Ishikawa
- Molecular ImmunologyResearch Institute for Microbial Diseases (RIMD)Osaka UniversitySuitaJapan
- Molecular ImmunologyImmunology Frontier Research Center (IFReC)Osaka UniversitySuitaJapan
| | - Sho Yamasaki
- Molecular ImmunologyResearch Institute for Microbial Diseases (RIMD)Osaka UniversitySuitaJapan
- Molecular ImmunologyImmunology Frontier Research Center (IFReC)Osaka UniversitySuitaJapan
| | - Monika Rau
- Division of HepatologyUniversity Hospital WürzburgWürzburgGermany
| | - Andreas Geier
- Division of HepatologyUniversity Hospital WürzburgWürzburgGermany
| | - Mohammed Hankir
- Department of General, Visceral, Transplant, Vascular and Pediatric SurgeryUniversity Hospital WürzburgWürzburgGermany
| | - Florian Seyfried
- Department of General, Visceral, Transplant, Vascular and Pediatric SurgeryUniversity Hospital WürzburgWürzburgGermany
| | - Martin Klingenspor
- Chair for Molecular Nutritional MedicineTechnical University of MunichTUM School of Life Sciences WeihenstephanFreisingGermany
- EKFZ ‐ Else Kröner‐Fresenius‐Center for Nutritional MedicineTechnical University of MunichMunichGermany
- ZIEL ‐ Institute for Food & HealthTechnical University of MunichFreisingGermany
| | - Grzegorz Sumara
- Rudolf‐Virchow‐ZentrumCenter for Integrative and Translational BioimagingUniversity of WürzburgWürzburgGermany
- Nencki Institute of Experimental BiologyPolish Academy of SciencesWarszawaPoland
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17
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Zhang X, Connelly J, Chao Y, Wang QJ. Multifaceted Functions of Protein Kinase D in Pathological Processes and Human Diseases. Biomolecules 2021; 11:biom11030483. [PMID: 33807058 PMCID: PMC8005150 DOI: 10.3390/biom11030483] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/13/2021] [Accepted: 03/15/2021] [Indexed: 02/06/2023] Open
Abstract
Protein kinase D (PKD) is a family of serine/threonine protein kinases operating in the signaling network of the second messenger diacylglycerol. The three family members, PKD1, PKD2, and PKD3, are activated by a variety of extracellular stimuli and transduce cell signals affecting many aspects of basic cell functions including secretion, migration, proliferation, survival, angiogenesis, and immune response. Dysregulation of PKD in expression and activity has been detected in many human diseases. Further loss- or gain-of-function studies at cellular levels and in animal models provide strong support for crucial roles of PKD in many pathological conditions, including cancer, metabolic disorders, cardiac diseases, central nervous system disorders, inflammatory diseases, and immune dysregulation. Complexity in enzymatic regulation and function is evident as PKD isoforms may act differently in different biological systems and disease models, and understanding the molecular mechanisms underlying these differences and their biological significance in vivo is essential for the development of safer and more effective PKD-targeted therapies. In this review, to provide a global understanding of PKD function, we present an overview of the PKD family in several major human diseases with more focus on cancer-associated biological processes.
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18
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Bosi E, Marselli L, De Luca C, Suleiman M, Tesi M, Ibberson M, Eizirik DL, Cnop M, Marchetti P. Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes. NAR Genom Bioinform 2020; 2:lqaa097. [PMID: 33575641 PMCID: PMC7679065 DOI: 10.1093/nargab/lqaa097] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/26/2020] [Accepted: 10/30/2020] [Indexed: 02/06/2023] Open
Abstract
Pancreatic islet β-cell failure is key to the onset and progression of type 2 diabetes (T2D). The advent of single-cell RNA sequencing (scRNA-seq) has opened the possibility to determine transcriptional signatures specifically relevant for T2D at the β-cell level. Yet, applications of this technique have been underwhelming, as three independent studies failed to show shared differentially expressed genes in T2D β-cells. We performed an integrative analysis of the available datasets from these studies to overcome confounding sources of variability and better highlight common T2D β-cell transcriptomic signatures. After removing low-quality transcriptomes, we retained 3046 single cells expressing 27 931 genes. Cells were integrated to attenuate dataset-specific biases, and clustered into cell type groups. In T2D β-cells (n = 801), we found 210 upregulated and 16 downregulated genes, identifying key pathways for T2D pathogenesis, including defective insulin secretion, SREBP signaling and oxidative stress. We also compared these results with previous data of human T2D β-cells from laser capture microdissection and diabetic rat islets, revealing shared β-cell genes. Overall, the present study encourages the pursuit of single β-cell RNA-seq analysis, preventing presently identified sources of variability, to identify transcriptomic changes associated with human T2D and underscores specific traits of dysfunctional β-cells across different models and techniques.
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Affiliation(s)
- Emanuele Bosi
- Department of Experimental and Clinical Medicine, Pancreatic Islets Laboratory, University of Pisa, Pisa, I-56124, Italy
| | - Lorella Marselli
- Department of Experimental and Clinical Medicine, Pancreatic Islets Laboratory, University of Pisa, Pisa, I-56124, Italy
| | - Carmela De Luca
- Department of Experimental and Clinical Medicine, Pancreatic Islets Laboratory, University of Pisa, Pisa, I-56124, Italy
| | - Mara Suleiman
- Department of Experimental and Clinical Medicine, Pancreatic Islets Laboratory, University of Pisa, Pisa, I-56124, Italy
| | - Marta Tesi
- Department of Experimental and Clinical Medicine, Pancreatic Islets Laboratory, University of Pisa, Pisa, I-56124, Italy
| | - Mark Ibberson
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, University of Lausanne, Quartier Sorge, CH-1015 Lausanne, Switzerland
| | - Decio L Eizirik
- ULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels, B-1070, Belgium
| | - Miriam Cnop
- ULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels, B-1070, Belgium
| | - Piero Marchetti
- Department of Experimental and Clinical Medicine, Pancreatic Islets Laboratory, University of Pisa, Pisa, I-56124, Italy
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19
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Kolczynska K, Loza-Valdes A, Hawro I, Sumara G. Diacylglycerol-evoked activation of PKC and PKD isoforms in regulation of glucose and lipid metabolism: a review. Lipids Health Dis 2020; 19:113. [PMID: 32466765 PMCID: PMC7257441 DOI: 10.1186/s12944-020-01286-8] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 05/14/2020] [Indexed: 12/15/2022] Open
Abstract
Protein kinase C (PKC) and Protein kinase D (PKD) isoforms can sense diacylglycerol (DAG) generated in the different cellular compartments in various physiological processes. DAG accumulates in multiple organs of the obese subjects, which leads to the disruption of metabolic homeostasis and the development of diabetes as well as associated diseases. Multiple studies proved that aberrant activation of PKCs and PKDs contributes to the development of metabolic diseases. DAG-sensing PKC and PKD isoforms play a crucial role in the regulation of metabolic homeostasis and therefore might serve as targets for the treatment of metabolic disorders such as obesity and diabetes.
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Affiliation(s)
- Katarzyna Kolczynska
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093, Warszawa, Poland
| | - Angel Loza-Valdes
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093, Warszawa, Poland
| | - Izabela Hawro
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093, Warszawa, Poland
| | - Grzegorz Sumara
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur Street, 02-093, Warszawa, Poland.
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20
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Xue M, Zhang S, Xie J, Zhang X, Liu F, Huang Y, Liu L, Liu S, Guo F, Yang Y, Yu W, Qiu H. Differential expression of genes associated with T lymphocytes function in septic patients with hypoxemia challenge. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:810. [PMID: 32042826 DOI: 10.21037/atm.2019.12.63] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background This study aimed to assess gene expression alterations related to T lymphocytes function and explore their potential association with hypoxemia among septic patients. Methods This is a retrospective cohort clinical study with laboratory investigations. We studied patients enrolled in sepsis biological specimen bank from Department of Critical Care Medicine, Zhongda Hospital, fulfilling consensus criteria for sepsis without any documented immune comorbidity admitted in ICU within 48 h after onset with whole blood samples drawn within 24 h of admission. Whole genome expression by microarray assay (Human LncRNA Microarray V4.0) was compared in hypoxemia cohort versus without. Differentially expressed (DE) genes with >1 log2[fold change (FC)] and false discovery rate (FDR) <0.20 that enriched in T cell related biological process entered the adjusted analysis to identify the candidate genes. The correlation analysis within candidate genes or with clinical parameters were performed. We assessed candidate expression ex vivo in co-culture system with RAW246.7 cells and validated genes identified in prior studies of sepsis-ARDS/hypoxemia within our present study. Results Septic patients (n=9) with hypoxemic phenotype held higher illness severity, serum lactate and creatine, and incidence of lymphopenia compared with non-hypoxemic group (n=6). Several gene signatures related to apoptosis, inhibitory receptors, T cell immunoreceptor, transcriptions factors, toll-like receptors and cytokine and effector molecules were upregulated in hypoxemic group. Candidate genes were identified after adjustment for age, sex and presence of lymphopenia with significantly negative correlations with partial pressure of O2 in an arterial blood (PaO2) and fraction of inspiration O2 (FiO2) ratio, among which NLRP3, SOS1, ELF1 and STAT3 held an increasing expression in ex vivo validation while the others, PSMA5, CLEC4D, CD300A, PRKD2 and PSMA2 showed the opposite alteration from those in vivo. Conclusions Higher illness severity and incidence of lymphopenia was observed following hypoxemia in sepsis and T cell-related gene signatures were associated with hypoxemia during sepsis.
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Affiliation(s)
- Ming Xue
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.,Department of Pathophysiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Shi Zhang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Jianfeng Xie
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiwen Zhang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Feng Liu
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yingzi Huang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Ling Liu
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Songqiao Liu
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Fengmei Guo
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yi Yang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Weiping Yu
- Department of Pathophysiology, School of Medicine, Southeast University, Nanjing 210009, China
| | - Haibo Qiu
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
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