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Zha B, Luo Y, Kamili M, Zha X. Non-coding RNAs and gastrointestinal cancers prognosis: an umbrella review of systematic reviews and meta-analyses of observational studies. Front Oncol 2023; 13:1193665. [PMID: 37546412 PMCID: PMC10399243 DOI: 10.3389/fonc.2023.1193665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
Aim Provide an overview and a systematic evaluation of the evidence quality on the association between non-coding RNAs (ncRNAs) and prognosis value for gastrointestinal cancers (GICs). Methods We searched the literature from three electronic databases: Pubmed, Embase, and Web of science, then carefully screened and extracted the primary information and results from the included articles. We use A measurable systematic review and meta-analysis evaluation tool (AMSTAR2) to evaluate the quality of methodology and then use the Grading of Recommendations Assessment 2, Development and Evaluation guideline (GRADE) make sure the reliability of the meta-analysis. Results Overall, 182 meta-analyses from 58 studies were included in this study. Most of these studies are of low or very low quality. Using the scoring tool, we found that only two meta-analyses were rated as high reliability, and 17 meta-analyses were rated as medium reliability. Conclusions Although ncRNA has good prognostic value in some studies, only a tiny amount of evidence is highly credible at present. More research is needed in the future. PROSPERO registration number CRD42022382296.
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Affiliation(s)
- Bowen Zha
- The Sixth Clinical Medical College, Capital Medical University, Beijing, China
| | - Yuxi Luo
- The First Clinical Medical College, Capital Medical University, Beijing, China
| | - Muladili Kamili
- The Sixth Clinical Medical College, Capital Medical University, Beijing, China
| | - Xiaqin Zha
- Department of Blood Purification, University Affiliated Second Hospital, Nanchang, China
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Proteomics Profiling Reveals Regulation of Immune Response to Salmonella enterica Serovar Typhimurium Infection in Mice. Infect Immun 2023; 91:e0049922. [PMID: 36511704 PMCID: PMC9872662 DOI: 10.1128/iai.00499-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Regulation of the immune response to Salmonella enterica serovar Typhimurium (S. Typhimurium) infection is a complex process, influenced by the interaction between genetic and environmental factors. Different inbred strains of mice exhibit distinct levels of resistance to S. Typhimurium infection, ranging from susceptible (e.g., C57BL/6J) to resistant (e.g., DBA/2J) strains. However, the underlying molecular mechanisms contributing to the host response remain elusive. In this study, we present a comprehensive proteomics profiling of spleen tissue from C57BL/6J and DBA/2J strains with different doses of S. Typhimurium infection by tandem mass tag labeling coupled with two-dimensional liquid chromatography-tandem mass spectrometry (TMT-LC/LC-MS/MS). We identified and quantified 3,986 proteins, resulting in 475 differentially expressed proteins (DEPs) between C57BL/6J and DBA/2J strains. Functional enrichment analysis unveiled that the mechanisms of innate immune responses to S. Typhimurium infection could be associated with several signaling pathways, including the interferon (IFN) signaling pathway. We experimentally validated the roles of the IFN signaling pathway in the innate immune response to S. Typhimurium infection using an IFN-γ neutralization assay. We further illustrated the importance of macrophage and proinflammatory cytokines in the mechanisms underlying the resistance to S. Typhimurium using quantitative reverse transcription-PCR (qRT-PCR). Taken together, our results provided new insights into the genetic regulation of the immune response to S. Typhimurium infection in mice and might lead to the discovery of potential protein targets for controlling salmonellosis.
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Yin J, Ma G, Luo S, Luo X, He B, Liang C, Zuo X, Xu X, Chen Q, Xiong S, Tan Z, Fu J, Lv D, Dai Z, Wen X, Zhu D, Ye X, Lin Z, Lin J, Li Y, Chen W, Luo Z, Li K, Wang Y. Glyoxalase 1 Confers Susceptibility to Schizophrenia: From Genetic Variants to Phenotypes of Neural Function. Front Mol Neurosci 2021; 14:739526. [PMID: 34790095 PMCID: PMC8592033 DOI: 10.3389/fnmol.2021.739526] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 09/23/2021] [Indexed: 12/13/2022] Open
Abstract
This research aimed to investigate the role of glyoxalase 1 (Glo-1) polymorphisms in the susceptibility of schizophrenia. Using the real-time polymerase chain reaction (PCR) and spectrophotometric assays technology, significant differences in Glo-1 messenger ribonucleic acid (mRNA) expression (P = 3.98 × 10-5) and enzymatic activity (P = 1.40 × 10-6) were found in peripheral blood of first-onset antipsychotic-naïve patients with schizophrenia and controls. The following receiver operating characteristic (ROC) curves analysis showed that Glo-1 could predict the schizophrenia risk (P = 4.75 × 10-6 in mRNA, P = 1.43 × 10-7 in enzymatic activity, respectively). To identify the genetic source of Glo-1 risk in schizophrenia, Glo-1 polymorphisms (rs1781735, rs1130534, rs4746, and rs9470916) were genotyped with SNaPshot technology in 1,069 patients with schizophrenia and 1,023 healthy individuals. Then, the impact of risk polymorphism on the promoter activity, mRNA expression, and enzymatic activity was analyzed. The results revealed significant differences in the distributions of genotype (P = 0.020, false discovery rate (FDR) correction) and allele (P = 0.020, FDR correction) in rs1781735, in which G > T mutation significantly showed reduction in the promoter activity (P = 0.016), mRNA expression, and enzymatic activity (P = 0.001 and P = 0.015, respectively, GG vs. TT, in peripheral blood of patients with schizophrenia) of Glo-1. The expression quantitative trait locus (eQTL) findings were followed up with the resting-state functional magnetic resonance imaging (fMRI) analysis. The TT genotype of rs1781735, associated with lower RNA expression in the brain (P < 0.05), showed decreased neuronal activation in the left middle frontal gyrus in schizophrenia (P < 0.001). In aggregate, this study for the first time demonstrates how the genetic and biochemical basis of Glo-1 polymorphism culminates in the brain function changes associated with increased schizophrenia risk. Thus, establishing a combination of multiple levels of changes ranging from genetic variants, transcription, protein function, and brain function changes is a better predictor of schizophrenia risk.
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Affiliation(s)
- Jingwen Yin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.,Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao SAR, China.,Department of Psychology, Faculty of Social Sciences, University of Macau, Macao SAR, China
| | - Guoda Ma
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China.,Maternal and Children's Health Research Institute, Shunde Maternal and Children's Hospital, Guangdong Medical University, Foshan, China
| | - Shucun Luo
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xudong Luo
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Bin He
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Chunmei Liang
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China
| | - Xiang Zuo
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China
| | - Xusan Xu
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China
| | - Qing Chen
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Susu Xiong
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhi Tan
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jiawu Fu
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China
| | - Dong Lv
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhun Dai
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xia Wen
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China
| | - Dongjian Zhu
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xiaoqing Ye
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zhixiong Lin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Juda Lin
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - You Li
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China
| | - Wubiao Chen
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Zebin Luo
- Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Keshen Li
- Institute of Neurology, Guangdong Medical University, Zhanjiang, China.,Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, China.,Clinical Neuroscience Institute, Jinan University, Guangzhou, China
| | - Yajun Wang
- Maternal and Children's Health Research Institute, Shunde Maternal and Children's Hospital, Guangdong Medical University, Foshan, China
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