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Truong AD, Tran HTT, Thi Nguyen H, Thi Chu N, Phan L, Thi Phan H, Thi Pham N, Nguyen VH, Nguyen LH, Pham DK, Ho PH, Vu Dang H. Identification of differentially expressed genes and metabolism signaling pathway in the spleen of broilers supplemented with probiotic Bacillus spp. Vet Immunol Immunopathol 2024; 272:110755. [PMID: 38643554 DOI: 10.1016/j.vetimm.2024.110755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 04/23/2024]
Abstract
Probiotics are essential in the body's nutrients, improving the ratio of meat to meat, immune response, and preventing diseases. In this study, RNA-sequencing (RNA-seq) was used to identify the differentially expressed genes (DEGs), enriched related pathways, and Gene Ontology (GO) terms among blank negative control (NC), supplemented with Bacillus spp. (BS) and commercial probiotic (PC) groups after a 42-day fed supplementation. The results showed that 2005, 1356, and 2189 DEGs were significantly altered in BS vs. NC, PC vs NC, and BS vs PC groups, respectively. On the other hand, 9 DEGs were further validated by qRT-PCR, indicating that the qRT-PCR and RNA-Seq results were more consistent. Therefore, the GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DEGs showed that the DEGs were mainly enriched to metabolism signalling pathways (alpha-linolenic acid metabolism, linoleic acid metabolism, tryptophan metabolism, tyrosine metabolism, ether lipid metabolism, and metabolic pathway, etc) and immune response pathways (cytokine-cytokine receptor interaction, MAPK signalling pathway, and intestinal immune network for IgA production, neuroactive ligand-receptor interaction etc). These results will provide a better understanding of the role of probiotics in chicken development and provide basic information on the genetic development of chickens.
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Affiliation(s)
- Anh Duc Truong
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Ha Thi Thanh Tran
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Huyen Thi Nguyen
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Nhu Thi Chu
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Lanh Phan
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Hoai Thi Phan
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Ngoc Thi Pham
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam
| | - Van Hai Nguyen
- Department of Food Engineering, School of Chemistry and Life Sciences, Hanoi University of Science and Technology (HUST), Hanoi 100000, Viet Nam
| | - Lan Huong Nguyen
- Department of Bioengineering, School of Chemistry and Life Sciences, Hanoi University of Science and Technology, Viet Nam
| | - Dang Kim Pham
- Faculty of Animal Science, Vietnam National University of Agriculture, Hanoi 100000, Viet Nam; Department of Livestock Production, Ministry of Agriculture and Rural Development, 16 Thuy Khue, Tay Ho, Hanoi 100000, Viet Nam
| | - Phu-Ha Ho
- Department of Food Engineering, School of Chemistry and Life Sciences, Hanoi University of Science and Technology (HUST), Hanoi 100000, Viet Nam.
| | - Hoang Vu Dang
- Department of Biochemistry and Immunology, National Institute of Veterinary Research, 86 Truong Chinh, Dong Da, Hanoi 100000, Viet Nam.
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Abdelrahman Z, Maxwell AP, McKnight AJ. Genetic and Epigenetic Associations with Post-Transplant Diabetes Mellitus. Genes (Basel) 2024; 15:503. [PMID: 38674437 PMCID: PMC11050138 DOI: 10.3390/genes15040503] [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: 03/12/2024] [Revised: 04/10/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
Post-transplant diabetes mellitus (PTDM) is a common complication of solid organ transplantation. PTDM prevalence varies due to different diabetes definitions. Consensus guidelines for the diagnosis of PTDM have been published based on random blood glucose levels, glycated hemoglobin (HbA1c), and oral glucose tolerance test (OGTT). The task of diagnosing PTDM continues to pose challenges, given the potential for diabetes to manifest at different time points after transplantation, thus demanding constant clinical vigilance and repeated testing. Interpreting HbA1c levels can be challenging after renal transplantation. Pre-transplant risk factors for PTDM include obesity, sedentary lifestyle, family history of diabetes, ethnicity (e.g., African-Caribbean or South Asian ancestry), and genetic risk factors. Risk factors for PTDM include immunosuppressive drugs, weight gain, hepatitis C, and cytomegalovirus infection. There is also emerging evidence that genetic and epigenetic variation in the organ transplant recipient may influence the risk of developing PTDM. This review outlines many known risk factors for PTDM and details some of the pathways, genetic variants, and epigenetic features associated with PTDM. Improved understanding of established and emerging risk factors may help identify people at risk of developing PTDM and may reduce the risk of developing PTDM or improve the management of this complication of organ transplantation.
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Affiliation(s)
- Zeinab Abdelrahman
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK; (Z.A.); (A.P.M.)
| | - Alexander Peter Maxwell
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK; (Z.A.); (A.P.M.)
- Regional Nephrology Unit, Belfast City Hospital, Belfast BT9 7AB, UK
| | - Amy Jayne McKnight
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK; (Z.A.); (A.P.M.)
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Xu S, Jiang Z, Hu N. Association between Genetic Polymorphisms and Risk of Kidney Posttransplant Diabetes Mellitus: A Systematic Review and Meta-Analysis. Int J Clin Pract 2022; 2022:7140024. [PMID: 35685576 PMCID: PMC9159121 DOI: 10.1155/2022/7140024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/27/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES The purpose of this study was to clarify the role of genetic factors on posttransplant diabetes mellitus (PTDM) risk. METHODS Relevant publications were systematically retrieved from PubMed, EMBASE, and the Cochrane Library up to December 2020. Data from eligible case-control and cohort studies were extracted for qualitative and quantitative analyses. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the association between gene polymorphisms and PTDM in the quantitative meta-analysis. RESULTS A total of 43 eligible articles were identified, and 16 studies on 9 DNA variants from 8 genes were included in the meta-analysis. TCF7L2 rs7903146 was significantly associated with PTDM risk in 5 genetic models (OR (95% CI): allelic: 1.59 (1.17-2.16), P=0.003; dominant recessive: 1.62 (1.14, 2.31), P=0.007; recessive: 1.87 (1.18, 2.94), P=0.007; homozygote: 2.21 (1.23, 3.94), P=0.008; and heterozygote 1.50 (1.08, 2.10), P=0.017). KCNQ1 rs2237892 was significantly correlated with PTDM risk in 3 genetic models (allelic: 0.68 (0.58, 0.81), P < 0.001; dominant: 0.6 (049, 0.74), P < 0.001; and heterozygote: 0.61 (0.48, 0.76), P < 0.001). KCNJ11 rs5219 was significantly linked with PTDM in the recessive genetic model (1.59 (1.01, 2.50), P=0.047). No significant correlations of PTDM with TCF7L2 rs12255372, SLC30A8 rs13266634, PPARγ rs1801282, CDKN2A/B rs10811661, HHEX rs1111875, and IGF2BP2 rs4402960 polymorphisms were found. CONCLUSIONS The gene polymorphisms of TCF7L2 rs7903146, KCNQ1 rs2237892, and KCNJ11 rs5219 may predispose kidney transplant recipients to PTDM. Large sample size studies on diverse ethnic populations were warranted to confirm our findings.
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Affiliation(s)
- Shan Xu
- Department of Pharmacy, Changzhou No. 2 People's Hospital, The Affiliated Hospital of Nanjing Medical University, Changzhou, China
| | - Zhenwei Jiang
- Department of Pharmacy, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China
| | - Nan Hu
- Department of Pharmacy, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, China
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Yu S, Meng S, Xiang M, Ma H. Phosphoenolpyruvate carboxykinase in cell metabolism: Roles and mechanisms beyond gluconeogenesis. Mol Metab 2021; 53:101257. [PMID: 34020084 PMCID: PMC8190478 DOI: 10.1016/j.molmet.2021.101257] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Phosphoenolpyruvate carboxykinase (PCK) has been almost exclusively recognized as a critical enzyme in gluconeogenesis, especially in the liver and kidney. Accumulating evidence has shown that the enhanced activity of PCK leads to increased glucose output and exacerbation of diabetes, whereas the defects of PCK result in lethal hypoglycemia. Genetic mutations or polymorphisms are reported to be related to the onset and progression of diabetes in humans. SCOPE OF REVIEW Recent studies revealed that the PCK pathway is more complex than just gluconeogenesis, depending on the health or disease condition. Dysregulation of PCK may contribute to the development of obesity, cardiac hypertrophy, stroke, and cancer. Moreover, a regulatory network with multiple layers, from epigenetic regulation, transcription regulation, to posttranscription regulation, precisely tunes the expression of PCK. Deciphering the molecular basis that regulates PCK may pave the way for developing practical strategies to treat metabolic dysfunction. MAJOR CONCLUSIONS In this review, we summarize the metabolic and non-metabolic roles of the PCK enzyme in cells, especially beyond gluconeogenesis. We highlight the distinct functions of PCK isoforms (PCK1 and PCK2), depict a detailed network regulating PCK's expression, and discuss its clinical relevance. We also discuss the therapeutic potential targeting PCK and the future direction that is highly in need to better understand PCK-mediated signaling under diverse conditions.
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Affiliation(s)
- Shuo Yu
- Anesthesiology Department, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China
| | - Simin Meng
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China
| | - Meixiang Xiang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
| | - Hong Ma
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
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Guo X, Zhang W, Li M, Gao P, Hei W, He Z, Wu Y, Liu J, Cai C, Li B, Cao G. Transcriptome profile of skeletal muscle at different developmental stages in Large White and Mashen pigs. CANADIAN JOURNAL OF ANIMAL SCIENCE 2019. [DOI: 10.1139/cjas-2019-0002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
From the perspectives of promoting individual growth and development, increasing pork yield, and improving feed utilization, it is desirable to screen candidate genes underlying pig muscle growth and regulation. In this study, we investigated transcriptome differences at 1, 90, and 180 d of age in Large White and Mashen pigs, characterized differentially expressed genes (DEGs), and screened candidate genes affecting skeletal muscle growth and development. RNA-seq was applied to analyze the transcriptome of the longissimus dorsi (LD) in the two breeds. In LD samples from the two breeds at three growth stages, 7215, 6332, 237, 3935, 3404, and 846 DEGs were obtained for L01 vs. L90, L01 vs. L180, L90 vs. L180, MS01 vs. MS90, MS01 vs. MS180, and MS90 vs. MS180, respectively. Significant tendencies in DEG expression could be grouped into eight profiles. Based on the functional analysis of DEGs, 16 candidate genes related to skeletal muscle growth and development were identified, including PCK2, GNAS, ADCY2, PRKAB1, PRKAB2, PRKAG1, PRKAG2, PHKA1, PHKA2, PHKG1, PHKG2, ITPR3, IGF1R, FGFR4, FGF1, and FGF18. The results of this study thus provide a theoretical basis for the mechanisms and candidate genes underlying skeletal muscle development in pigs.
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Affiliation(s)
- Xiaohong Guo
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Wanfeng Zhang
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Meng Li
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Pengfei Gao
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Wei Hei
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Zhiqiang He
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Yiqi Wu
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Juan Liu
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Chunbo Cai
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Bugao Li
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
| | - Guoqing Cao
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
- College of Animal Science and Veterinary Medicine, Shanxi Agricultural University, Taigu 030801, People’s Republic of China
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Li Z, Liu X, Zhu Y, Du Y, Liu X, Lv L, Zhang X, Liu Y, Zhang P, Zhou Y. Mitochondrial Phosphoenolpyruvate Carboxykinase Regulates Osteogenic Differentiation by Modulating AMPK/ULK1-Dependent Autophagy. Stem Cells 2019; 37:1542-1555. [PMID: 31574189 PMCID: PMC6916635 DOI: 10.1002/stem.3091] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 09/01/2019] [Indexed: 02/06/2023]
Abstract
Mitochondrial phosphoenolpyruvate carboxykinase (PCK2) is a rate‐limiting enzyme that plays critical roles in multiple physiological processes. The decompensation of PCK2 leads to various energy metabolic disorders. However, little is known regarding the effects of PCK2 on osteogenesis by human mesenchymal stem cells (hMSCs). Here, we report a novel function of PCK2 as a positive regulator of MSCs osteogenic differentiation. In addition to its well‐known role in anabolism, we demonstrate that PCK2 regulates autophagy. PCK2 deficiency significantly suppressed autophagy, leading to the impairment of osteogenic capacity of MSCs. On the other hand, autophagy was promoted by PCK2 overexpression; this was accompanied by increased osteogenic differentiation of MSCs. Moreover, PCK2 regulated osteogenic differentiation of MSCs via AMP‐activated protein kinase (AMPK)/unc‐51 like autophagy activating kinase 1(ULK1)‐dependent autophagy. Collectively, our present study unveiled a novel role for PCK2 in integrating autophagy and bone formation, providing a potential target for stem cell‐based bone tissue engineering that may lead to improved therapies for metabolic bone diseases. stem cells2019;37:1542–1555
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Affiliation(s)
- Zheng Li
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Xuenan Liu
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Yuan Zhu
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Yangge Du
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Xuejiao Liu
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Longwei Lv
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Xiao Zhang
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Yunsong Liu
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Ping Zhang
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
| | - Yongsheng Zhou
- Department of Prosthodontics, School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China.,National Engineering Lab for Digital and Material Technology of Stomatology, National Clinical Research Center for Oral Diseases, Peking University School and Hospital of Stomatology, Peking University, Beijing, People's Republic of China
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