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Ran Z, Yang J, Liu L, Wu S, An Y, Hou W, Cheng T, Zhang Y, Zhang Y, Huang Y, Zhang Q, Wan J, Li X, Xing B, Ye Y, Xu P, Chen Z, Zhao J, Li R. Chronic PM 2.5 exposure disrupts intestinal barrier integrity via microbial dysbiosis-triggered TLR2/5-MyD88-NLRP3 inflammasome activation. ENVIRONMENTAL RESEARCH 2024; 258:119415. [PMID: 38906446 DOI: 10.1016/j.envres.2024.119415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/31/2024] [Accepted: 06/11/2024] [Indexed: 06/23/2024]
Abstract
BACKGROUND PM2.5, a known public health risk, is increasingly linked to intestinal disorders, however, the mechanisms of its impact are not fully understood. PURPOSE This study aimed to explore the impact of chronic PM2.5 exposure on intestinal barrier integrity and to uncover the underlying molecular mechanisms. METHODS C57BL/6 J mice were exposed to either concentrated ambient PM2.5 (CPM) or filtered air (FA) for six months to simulate urban pollution conditions. We evaluated intestinal barrier damage, microbial shifts, and metabolic changes through histopathology, metagenomics, and metabolomics. Analysis of the TLR signaling pathway was also conducted. RESULTS The mean concentration of PM2.5 in the CPM exposure chamber was consistently measured at 70.9 ± 26.8 μg/m³ throughout the study period. Our findings show that chronic CPM exposure significantly compromises intestinal barrier integrity, as indicated by reduced expression of the key tight junction proteins Occludin and Tjp1/Zo-1. Metagenomic sequencing revealed significant shifts in the microbial landscape, identifying 35 differentially abundant species. Notably, there was an increase in pro-inflammatory nongastric Helicobacter species and a decrease in beneficial bacteria, such as Lactobacillus intestinalis, Lactobacillus sp. ASF360, and Eubacterium rectale. Metabolomic analysis further identified 26 significantly altered metabolites commonly associated with intestinal diseases. A strong correlation between altered bacterial species and metabolites was also observed. For example, 4 Helicobacter species all showed positive correlations with 13 metabolites, including Lactate, Bile acids, Pyruvate and Glutamate. Additionally, increased expression levels of TLR2, TLR5, Myd88, and NLRP3 proteins were noted, and their expression patterns showed a strong correlation, suggesting a possible involvement of the TLR2/5-MyD88-NLRP3 signaling pathway. CONCLUSIONS Chronic CPM exposure induces intestinal barrier dysfunction, microbial dysbiosis, metabolic imbalance, and activation of the TLR2/5-MyD88-NLRP3 inflammasome. These findings highlight the urgent need for intervention strategies to mitigate the detrimental effects of air pollution on intestinal health and identify potential therapeutic targets.
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Affiliation(s)
- Zihan Ran
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Department of Pathology, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Road, Shanghai 201318, China
| | - Jingcheng Yang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Science, Fudan University, 2005 Songhu Road, Shanghai 200438, China; Greater Bay Area Institute of Precision Medicine, 115 Jiaoxi Road, Guangzhou 511458, China
| | - Liang Liu
- Clinical Research Unit, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shaobo Wu
- Department of Laboratory Medicine, Tinglin Hospital of Jinshan District, No. 80 Siping North Road, Shanghai 201505, China
| | - YanPeng An
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Science, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Wanwan Hou
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Science, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Tianyuan Cheng
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Youyi Zhang
- School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - Yiqing Zhang
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yechao Huang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Science, Fudan University, 2005 Songhu Road, Shanghai 200438, China
| | - Qianyue Zhang
- The Core Laboratory in Medical Center of Clinical Research, Department of Molecular Diagnostic & Endocrinology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai 200011, China
| | - Jiaping Wan
- The Core Laboratory in Medical Center of Clinical Research, Department of Molecular Diagnostic & Endocrinology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai 200011, China
| | - Xuemei Li
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Department of Pathology, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Road, Shanghai 201318, China
| | - Baoling Xing
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Department of Pathology, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Road, Shanghai 201318, China
| | - Yuchen Ye
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Department of Pathology, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Road, Shanghai 201318, China
| | - Penghao Xu
- School of Biological Sciences, Georgia Insitute of Technology, Atlanta, GA, USA
| | - Zhenghu Chen
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Department of Pathology, Shanghai University of Medicine and Health Sciences, 279 Zhouzhu Road, Shanghai 201318, China.
| | - Jinzhuo Zhao
- School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Rui Li
- The Core Laboratory in Medical Center of Clinical Research, Department of Molecular Diagnostic & Endocrinology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai 200011, China.
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Nakamura T, Ohyama C, Sakamoto M, Toma T, Tateishi H, Matsuo M, Chirifu M, Ikemizu S, Morioka H, Fujita M, Inoue JI, Yamagata Y. TIFAB regulates the TIFA-TRAF6 signaling pathway involved in innate immunity by forming a heterodimer complex with TIFA. Proc Natl Acad Sci U S A 2024; 121:e2318794121. [PMID: 38442163 PMCID: PMC10945758 DOI: 10.1073/pnas.2318794121] [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: 10/28/2023] [Accepted: 02/07/2024] [Indexed: 03/07/2024] Open
Abstract
Nuclear factor κB (NF-κB) is activated by various inflammatory and infectious molecules and is involved in immune responses. It has been elucidated that ADP-β-D-manno-heptose (ADP-Hep), a metabolite in gram-negative bacteria, activates NF-κB through alpha-kinase 1 (ALPK1)-TIFA-TRAF6 signaling. ADP-Hep stimulates the kinase activity of ALPK1 for TIFA phosphorylation. Complex formation between phosphorylation-dependent TIFA oligomer and TRAF6 promotes the polyubiquitination of TRAF6 for NF-κB activation. TIFAB, a TIFA homolog lacking a phosphorylation site and a TRAF6 binding motif, is a negative regulator of TIFA-TRAF6 signaling and is implicated in myeloid diseases. TIFAB is indicated to regulate TIFA-TRAF6 signaling through interactions with TIFA and TRAF6; however, little is known about its biological function. We demonstrated that TIFAB forms a complex not with the TIFA dimer, an intrinsic form of TIFA involved in NF-κB activation, but with monomeric TIFA. The structural analysis of the TIFA/TIFAB complex and the biochemical and cell-based analyses showed that TIFAB forms a stable heterodimer with TIFA, inhibits TIFA dimer formation, and suppresses TIFA-TRAF6 signaling. The resultant TIFA/TIFAB complex is a "pseudo-TIFA dimer" lacking the phosphorylation site and TRAF6 binding motif in TIFAB and cannot form the orderly structure as proposed for the phosphorylated TIFA oligomer involved in NF-κB activation. This study elucidated the molecular and structural basis for the regulation of TIFA-TRAF6 signaling by TIFAB.
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Affiliation(s)
- Teruya Nakamura
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Chiaki Ohyama
- School of Pharmacy, Kumamoto University, Kumamoto862-0973, Japan
| | - Madoka Sakamoto
- School of Pharmacy, Kumamoto University, Kumamoto862-0973, Japan
| | - Tsugumasa Toma
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Hiroshi Tateishi
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Mihoko Matsuo
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Mami Chirifu
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Shinji Ikemizu
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Hiroshi Morioka
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Mikako Fujita
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
| | - Jun-ichiro Inoue
- The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA), 4-6-1 Shirokanedai, Minato-ku, Tokyo108-0071, Japan
| | - Yuriko Yamagata
- Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto862-0973, Japan
- Shokei University and Shokei University Junior College, Kumamoto862-8678, Japan
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Li L, Wang J, Zhong X, Jiang Y, Pei G, Yang X, Zhang K, Shen S, Jin X, Sun G, Su C, Chen S, Yin H. ADP-Hep-Induced Liquid Phase Condensation of TIFA-TRAF6 Activates ALPK1/TIFA-Dependent Innate Immune Responses. RESEARCH (WASHINGTON, D.C.) 2024; 7:0315. [PMID: 38357697 PMCID: PMC10865109 DOI: 10.34133/research.0315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 01/19/2024] [Indexed: 02/16/2024]
Abstract
The ALPK1 (alpha-kinase 1)-TIFA (TRAF-interacting protein with fork head-associated domain)-TRAF6 signaling pathway plays a pivotal role in regulating inflammatory processes, with TIFA and TRAF6 serving as key molecules in this cascade. Despite its significance, the functional mechanism of TIFA-TRAF6 remains incompletely understood. In this study, we unveil that TIFA undergoes liquid-liquid phase separation (LLPS) induced by ALPK1 in response to adenosine diphosphate (ADP)-β-D-manno-heptose (ADP-Hep) recognition. The phase separation of TIFA is primarily driven by ALPK1, the pT9-FHA domain, and the intrinsically disordered region segment. Simultaneously, TRAF6 exhibits phase separation during ADP-Hep-induced inflammation, a phenomenon observed consistently across various inflammatory signal pathways. Moreover, TRAF6 is recruited within the TIFA condensates, facilitating lysine (K) 63-linked polyubiquitin chain synthesis. The subsequent recruitment, enrichment, and activation of downstream effectors within these condensates contribute to robust inflammatory signal transduction. Utilizing a novel chemical probe (compound 22), our analysis demonstrates that the activation of the ALPK1-TIFA-TRAF6 signaling pathway in response to small molecules necessitates the phase separation of TIFA. In summary, our findings reveal TIFA as a sensor for upstream signals, initiating the LLPS of itself and downstream proteins. This process results in the formation of membraneless condensates within the ALPK1-TIFA-TRAF6 pathway, suggesting potential applications in therapeutic biotechnology development.
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Affiliation(s)
- Liping Li
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
- Department of Cancer Research, Institute of Medicinal Biotechnology,
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Jia Wang
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
- State Key Laboratory of Membrane Biology, Institute of Molecular Medicine, College of Future Technology,
Peking University, Beijing, China
| | - Xincheng Zhong
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Yaoyao Jiang
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Gaofeng Pei
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
- School of Life Sciences,
Tsinghua University, Beijing, 100084, China
| | - Xikang Yang
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Kaixiang Zhang
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Siqi Shen
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Xue Jin
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Gaoge Sun
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Chaofei Su
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
| | - Shuzhen Chen
- Department of Cancer Research, Institute of Medicinal Biotechnology,
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
| | - Hang Yin
- State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Institute for Precision Medicine, Tsinghua-Peking Center for Life Sciences, Key Laboratory of Bioorganic Phosphorous chemistry and Chemical Biology (Ministry of Education), Tsinghua University, Beijing 100084, China
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Zhang S, Wang Q, Ye J, Fan Q, Lin X, Gou Z, Azzam MM, Wang Y, Jiang S. Transcriptome and proteome profile of jejunum in chickens challenged with Salmonella Typhimurium revealed the effects of dietary bilberry anthocyanin on immune function. Front Microbiol 2023; 14:1266977. [PMID: 38053560 PMCID: PMC10694457 DOI: 10.3389/fmicb.2023.1266977] [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: 07/26/2023] [Accepted: 10/13/2023] [Indexed: 12/07/2023] Open
Abstract
Introduction The present study investigated the effects of bilberry anthocyanin (BA) on immune function when alleviating Salmonella Typhimurium (S. Typhimurium) infection in chickens. Methods A total of 180 newly hatched yellow-feathered male chicks were assigned to three groups (CON, SI, and SI + BA). Birds in CON and SI were fed a basal diet, and those in SI + BA were supplemented with 100 mg/kg BA for 18 days. Birds in SI and SI + BA received 0.5 ml suspension of S. Typhimurium (2 × 109 CFU/ml) by oral gavage at 14 and 16 days of age, and those in CON received equal volumes of sterile PBS. Results At day 18, (1) dietary BA alleviated weight loss of chickens caused by S. Typhimurium infection (P < 0.01). (2) Supplementation with BA reduced the relative weight of the bursa of Fabricius (P < 0.01) and jejunal villus height (P < 0.05) and increased the number of goblet cells (P < 0.01) and the expression of MUC2 (P < 0.05) in jejunal mucosa, compared with birds in SI. (3) Supplementation with BA decreased (P < 0.05) the concentration of immunoglobulins and cytokines in plasma (IgA, IL-1β, IL-8, and IFN-β) and jejunal mucosa (IgG, IgM, sIgA, IL-1β, IL-6, IL-8, TNF-α, IFN-β, and IFN-γ) of S. Typhimurium-infected chickens. (4) BA regulated a variety of biological processes, especially the defense response to bacteria and humoral immune response, and suppressed cytokine-cytokine receptor interaction and intestinal immune network for IgA production pathways by downregulating 6 immune-related proteins. Conclusion In summary, the impaired growth performance and disruption of jejunal morphology caused by S. Typhimurium were alleviated by dietary BA by affecting the expression of immune-related genes and proteins, and signaling pathways are related to immune response associated with immune cytokine receptors and production in jejunum.
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Affiliation(s)
- Sheng Zhang
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Qin Wang
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Jinling Ye
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Qiuli Fan
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Xiajing Lin
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Zhongyong Gou
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Mahmoud M. Azzam
- Department of Animal Production College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Yibing Wang
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
| | - Shouqun Jiang
- State Key Laboratory of Livestock and Poultry Breeding, Key Laboratory of Animal Nutrition and Feed Science in South China, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong, China
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Dite GS, Murphy NM, Allman R. Development and validation of a clinical and genetic model for predicting risk of severe COVID-19. Epidemiol Infect 2021; 149:e162. [PMID: 34210368 PMCID: PMC8292840 DOI: 10.1017/s095026882100145x] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/14/2021] [Accepted: 06/28/2021] [Indexed: 11/07/2022] Open
Abstract
Clinical and genetic risk factors for severe coronavirus disease 2019 (COVID-19) are often considered independently and without knowledge of the magnitudes of their effects on risk. Using severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) positive participants from the UK Biobank, we developed and validated a clinical and genetic model to predict risk of severe COVID-19. We used multivariable logistic regression on a 70% training dataset and used the remaining 30% for validation. We also validated a previously published prototype model. In the validation dataset, our new model was associated with severe COVID-19 (odds ratio per quintile of risk = 1.77, 95% confidence interval (CI) 1.64-1.90) and had acceptable discrimination (area under the receiver operating characteristic curve = 0.732, 95% CI 0.708-0.756). We assessed calibration using logistic regression of the log odds of the risk score, and the new model showed no evidence of over- or under-estimation of risk (α = -0.08; 95% CI -0.21-0.05) and no evidence or over-or under-dispersion of risk (β = 0.90, 95% CI 0.80-1.00). Accurate prediction of individual risk is possible and will be important in regions where vaccines are not widely available or where people refuse or are disqualified from vaccination, especially given uncertainty about the extent of infection transmission among vaccinated people and the emergence of SARS-CoV-2 variants of concern.
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Sokolova O, Naumann M. Manifold role of ubiquitin in Helicobacter pylori infection and gastric cancer. Cell Mol Life Sci 2021; 78:4765-4783. [PMID: 33825941 PMCID: PMC8195768 DOI: 10.1007/s00018-021-03816-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/22/2021] [Accepted: 03/18/2021] [Indexed: 02/07/2023]
Abstract
Infection with H. pylori induces a strong host cellular response represented by induction of a set of molecular signaling pathways, expression of proinflammatory cytokines and changes in proliferation. Chronic infection and inflammation accompanied by secretory dysfunction can result in the development of gastric metaplasia and gastric cancer. Currently, it has been determined that the regulation of many cellular processes involves ubiquitinylation of molecular effectors. The binding of ubiquitin allows the substrate to undergo a change in function, to interact within multimolecular signaling complexes and/or to be degraded. Dysregulation of the ubiquitinylation machinery contributes to several pathologies, including cancer. It is not understood in detail how H. pylori impacts the ubiquitinylation of host substrate proteins. The aim of this review is to summarize the existing literature in this field, with an emphasis on the role of E3 ubiquitin ligases in host cell homeodynamics, gastric pathophysiology and gastric cancer.
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Affiliation(s)
- Olga Sokolova
- Medical Faculty, Otto Von Guericke University, Institute of Experimental Internal Medicine, 39120 Magdeburg, Germany
| | - Michael Naumann
- Medical Faculty, Otto Von Guericke University, Institute of Experimental Internal Medicine, 39120 Magdeburg, Germany
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Niederkorn M, Agarwal P, Starczynowski DT. TIFA and TIFAB: FHA-domain proteins involved in inflammation, hematopoiesis, and disease. Exp Hematol 2020; 90:18-29. [PMID: 32910997 DOI: 10.1016/j.exphem.2020.08.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/19/2022]
Abstract
Forkhead-associated (FHA) domain-containing proteins are widely expressed across eubacteria and in eukaryotes. FHA domains contain phosphopeptide recognition motifs, which operate in a variety of phosphorylation-dependent and -independent biological processes, including the DNA damage response, signal transduction, and regulation of the cell cycle. More recently, two FHA domain-containing proteins were discovered in mammalian cells as tumor necrosis factor receptor-associated factor (TRAF)-interacting proteins: TIFA and TIFAB. TIFA and TIFAB are important modifiers of the innate immune signaling through their regulation of TRAF proteins. Recent studies have also revealed distinct roles for TIFA and TIFAB in the context of immune cell function, chronic inflammation, hematopoiesis, and hematologic disorders. Collectively, these studies indicate the important role of TIFA- and TIFAB-dependent signaling in hematopoietic cells and their dysregulation in several human diseases. In this review, we summarize the molecular mechanisms and biological role of these FHA-domain homologues, placing them into the context of human disease.
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Affiliation(s)
- Madeline Niederkorn
- Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Cancer Biology, University of Cincinnati, Cincinnati, OH
| | - Puneet Agarwal
- Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Daniel T Starczynowski
- Division of Experimental Hematology and Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Cancer Biology, University of Cincinnati, Cincinnati, OH; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
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