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Luo X, Niyakan S, Johnstone P, McCorkle S, Park G, López-Marrero V, Yoo S, Dougherty ER, Qian X, Alexander FJ, Jha S, Yoon BJ. Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. FRONTIERS IN BIOINFORMATICS 2024; 4:1280971. [PMID: 38812660 PMCID: PMC11135168 DOI: 10.3389/fbinf.2024.1280971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 04/16/2024] [Indexed: 05/31/2024] Open
Abstract
Radiation exposure poses a significant threat to human health. Emerging research indicates that even low-dose radiation once believed to be safe, may have harmful effects. This perception has spurred a growing interest in investigating the potential risks associated with low-dose radiation exposure across various scenarios. To comprehensively explore the health consequences of low-dose radiation, our study employs a robust statistical framework that examines whether specific groups of genes, belonging to known pathways, exhibit coordinated expression patterns that align with the radiation levels. Notably, our findings reveal the existence of intricate yet consistent signatures that reflect the molecular response to radiation exposure, distinguishing between low-dose and high-dose radiation. Moreover, we leverage a pathway-constrained variational autoencoder to capture the nonlinear interactions within gene expression data. By comparing these two analytical approaches, our study aims to gain valuable insights into the impact of low-dose radiation on gene expression patterns, identify pathways that are differentially affected, and harness the potential of machine learning to uncover hidden activity within biological networks. This comparative analysis contributes to a deeper understanding of the molecular consequences of low-dose radiation exposure.
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Affiliation(s)
- Xihaier Luo
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
| | - Seyednami Niyakan
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States
| | - Patrick Johnstone
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
| | - Sean McCorkle
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
| | - Gilchan Park
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
| | - Vanessa López-Marrero
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
| | - Shinjae Yoo
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
| | - Edward R. Dougherty
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States
| | - Xiaoning Qian
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States
| | | | - Shantenu Jha
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
- Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, NJ, United States
| | - Byung-Jun Yoon
- Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, United States
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, United States
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He LX, Yang L, Liu T, Li YN, Huang TX, Zhang LL, Luo J, Liu CT. Group 3 innate lymphoid cells secret neutrophil chemoattractants and are insensitive to glucocorticoid via aberrant GR phosphorylation. Respir Res 2023; 24:90. [PMID: 36949482 PMCID: PMC10033286 DOI: 10.1186/s12931-023-02395-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 03/13/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND Patients with neutrophil-mediated asthma have poor response to glucocorticoids. The roles and mechanisms of group 3 innate lymphoid cells (ILC3s) in inducing neutrophilic airway inflammation and glucocorticoid resistance in asthma have not been fully clarified. METHODS ILC3s in peripheral blood were measured by flow cytometry in patients with eosinophilic asthma (EA) and non-eosinophilic asthma (NEA). ILC3s were sorted and cultured in vitro for RNA sequencing. Cytokines production and signaling pathways in ILC3s after IL-1β stimulation and dexamethasone treatment were determined by real-time PCR, flow cytometry, ELISA and western blot. RESULTS The percentage and numbers of ILC3s in peripheral blood was higher in patients with NEA compared with EA, and negatively correlated with blood eosinophils. IL-1β stimulation significantly enhanced CXCL8 and CXCL1 production in ILC3s via activation of p65 NF-κB and p38/JNK MAPK signaling pathways. The expression of neutrophil chemoattractants from ILC3s was insensitive to dexamethasone treatment. Dexamethasone significantly increased phosphorylation of glucocorticoid receptor (GR) at Ser226 but only with a weak induction at Ser211 residues in ILC3s. Compared to human bronchial epithelial cell line (16HBE cells), the ratio of p-GR S226 to p-GR S211 (p-GR S226/S211) was significantly higher in ILC3s at baseline and after dexamethasone treatment. In addition, IL-1β could induce Ser226 phosphorylation and had a crosstalk effect to dexamethasone via NF-κB pathway. CONCLUSIONS ILC3s were elevated in patients with NEA, and associated with neutrophil inflammation by release of neutrophil chemoattractants and were glucocorticoid (GC) resistant. This paper provides a novel cellular and molecular mechanisms of neutrophil inflammation and GC-resistance in asthma. Trial registration The study has been prospectively registered in the World Health Organization International Clinical Trials Registry Platform (ChiCTR1900027125).
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Affiliation(s)
- Li Xiu He
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, Guizhou, China
| | - Ling Yang
- Clinical Trial Center, National Medical Products Administration Key Laboratory for Clinical Research and Evaluation of Innovative Drugs, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting Liu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Yi Na Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ting Xuan Huang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lan Lan Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jian Luo
- Respiratory Medicine Unit and National Institute for Health and Care Research (NIHR) Oxford Biomedical Research Centre, Nuffield Department of Medicine, Experimental Medicine, University of Oxford, Oxford, OX3 9DU, UK.
| | - Chun Tao Liu
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Li A, He H, Chen Y, Liao F, Tang J, Li L, Fan Y, Li L, Xiong L. Effects of donkey milk on UVB-induced skin barrier damage and melanin pigmentation: A network pharmacology and experimental validation study. Front Nutr 2023; 10:1121498. [PMID: 36969816 PMCID: PMC10033878 DOI: 10.3389/fnut.2023.1121498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 02/10/2023] [Indexed: 03/11/2023] Open
Abstract
IntroductionDairy products have long been regarded as a controversial nutrient for the skin. However, a clear demonstration of donkey milk (DM) on skincare is required.MethodsIn this study, spectrum and chemical component analyses were applied to DM. Then, the effects of DM on UVB-induced skin barrier damage and melanin pigmentation were first evaluated in vitro and in vivo. Cell survival, animal models, and expression of filaggrin (FLG) were determined to confirm the effect of DM on UVB-induced skin barrier damage. Melanogenesis and tyrosinase (TYR) activity were assessed after UVB irradiation to clarify the effect of DM on whitening activities. Further, a network pharmacology method was applied to study the interaction between DM ingredients and UVB-induced skin injury. Meanwhile, an analysis of the melanogenesis molecular target network was developed and validated to predict the melanogenesis regulators in DM.ResultsDM was rich in cholesterols, fatty acids, vitamins and amino acids. The results of evaluation of whitening activities in vitro and in vivo indicated that DM had a potent inhibitory effect on melanin synthesis. The results of effects of DM on UVB‑induced skin barrier damage indicated that DM inhibited UVB-induced injury and restored skin barrier function via up-regulation expression of FLG (filaggrin). The pharmacological network of DM showed that DM regulated steroid biosynthesis and fatty acid metabolism in keratinocytes and 64 melanin targets which the main contributing role of DM might target melanogenesis, cell adhesion molecules (CAMs), and Tumor necrosis factor (TNF) pathway.DiscussionThese results highlight the potential use of DM as a promising agent for whitening and anti-photoaging applications.
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Affiliation(s)
- Anqi Li
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hailun He
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanjing Chen
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Feng Liao
- National Engineering Research Center for Gelatin-based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Shandong, China
| | - Jie Tang
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
| | - Li Li
- Laboratory of Pathology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yumei Fan
- National Engineering Research Center for Gelatin-based Traditional Chinese Medicine, Dong-E-E-Jiao Co. Ltd., Shandong, China
| | - Li Li
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- *Correspondence: Li Li,
| | - Lidan Xiong
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
- Lidan Xiong,
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Bai C, Zheng Y, Watkins CB, Fu A, Ma L, Gao H, Yuan S, Zheng S, Gao L, Wang Q, Meng D, Zuo J. Revealing the Specific Regulations of Brassinolide on Tomato Fruit Chilling Injury by Integrated Multi-Omics. Front Nutr 2021; 8:769715. [PMID: 34926549 PMCID: PMC8681340 DOI: 10.3389/fnut.2021.769715] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/04/2021] [Indexed: 12/28/2022] Open
Abstract
Tomato fruit is susceptible to chilling injury (CI) when stored at low temperatures, limiting its storage potential, and resulting in economic loss if inappropriate temperatures are used. Brassinolide (BR) is a plant growth regulator that is known to decrease the susceptibility of fruit to CI. In this study, transcriptome, metabolome, and proteome analysis revealed the regulation mechanism of BR treatment in alleviating tomato fruit CI. The results showed that the differentially expressed metabolites mainly included amino acids, organic acids, carbohydrates, and lipids. Differentially expressed genes (DEGs) were involved in plant cold stress response (HSFA3, SHSP, and TPR), fruit redox process (POD, PAL, and LOX), related to the fruit texture (CESA, β-Gal, and PAE), plant hormone signal transduction (ACS3, ARF, and ERF,), transcription factors (TCP, bHLH, GATA). Moreover, differentially expressed proteins were associated with fruit texture (CESA, PE, PL, and CHI), plant oxidation processes (LOX, GPX, CAT, and POD), plant cold stress response (HSF, HSP20, HSP70, and HSP90B), plant hormone signal transduction (BSK1 and JAR1) and transcription factors (WRKY and MYB). Our study showed that BR alleviates CI symptoms of tomato fruit by regulating LOX in the α-linolenic acid metabolism pathway, enhancing jasmonic acid-CoA (JA-CoA) synthesis, inhibiting cell wall and membrane lipid damage. The results provided a theoretical basis for further study on the CI mechanism of tomato fruit.
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Affiliation(s)
- Chunmei Bai
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin, China
| | - Yanyan Zheng
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Christopher B. Watkins
- School of Integrative Plant Science, Horticulture Section, College of Agriculture and Life Science, Cornell University, Ithaca, NY, United States
| | - Anzhen Fu
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Lili Ma
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - HongWu Gao
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin, China
| | - Shuzhi Yuan
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Shufang Zheng
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Lipu Gao
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Qing Wang
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Demei Meng
- State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science & Technology, Tianjin, China
| | - Jinhua Zuo
- Key Laboratory of Vegetable Post-harvest Processing, Ministry of Agriculture, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Beijing Vegetable Research Center, Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
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