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Rao P, Keyes MJ, Mi MY, Barber JL, Tahir UA, Deng S, Clish CB, Shen D, Farrell LA, Wilson JG, Gao Y, Yimer WK, Ekunwe L, Hall ME, Muntner PM, Guo X, Taylor KD, Tracy RP, Rich SS, Rotter JI, Xanthakis V, Vasan RS, Bouchard C, Sarzynski MA, Gerszten RE, Robbins JM. Plasma Proteomics of Exercise Blood Pressure and Incident Hypertension. JAMA Cardiol 2024; 9:713-722. [PMID: 38865108 PMCID: PMC11170454 DOI: 10.1001/jamacardio.2024.1397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/10/2024] [Indexed: 06/13/2024]
Abstract
Importance Blood pressure response during acute exercise (exercise blood pressure [EBP]) is associated with the future risk of hypertension and cardiovascular disease (CVD). Biochemical characterization of EBP could inform disease biology and identify novel biomarkers of future hypertension. Objective To identify protein markers associated with EBP and test their association with incident hypertension. Design, Setting, and Participants This study assayed 4977 plasma proteins in 681 healthy participants (from 763 assessed) of the Health, Risk Factors, Exercise Training and Genetics (HERITAGE; data collection from January 1993 to December 1997 and plasma proteomics from January 2019 to January 2020) Family Study at rest who underwent 2 cardiopulmonary exercise tests. Individuals were free of CVD at the time of recruitment. Individuals with resting SBP ≥160 mm Hg or DBP ≥100 mm Hg or taking antihypertensive drug therapy were excluded from the study. The association between resting plasma protein levels to both resting BP and EBP was evaluated. Proteins associated with EBP were analyzed for their association with incident hypertension in the Framingham Heart Study (FHS; n = 1177) and validated in the Jackson Heart Study (JHS; n = 772) and Multi-Ethnic Study of Atherosclerosis (MESA; n = 1367). Proteins associated with incident hypertension were tested for putative causal links in approximately 700 000 individuals using cis-protein quantitative loci mendelian randomization (cis-MR). Data were analyzed from January 2023 to January 2024. Exposures Plasma proteins. Main Outcomes and Measures EBP was defined as the BP response during a fixed workload (50 W) on a cycle ergometer. Hypertension was defined as BP ≥140/90 mm Hg or taking antihypertensive medication. Results Among the 681 participants in the HERITAGE Family Study, the mean (SD) age was 34 (13) years; 366 participants (54%) were female; 238 (35%) were self-reported Black and 443 (65%) were self-reported White. Proteomic profiling of EBP revealed 34 proteins that would not have otherwise been identified through profiling of resting BP alone. Transforming growth factor β receptor 3 (TGFBR3) and prostaglandin D2 synthase (PTGDS) had the strongest association with exercise systolic BP (SBP) and diastolic BP (DBP), respectively (TGFBR3: exercise SBP, β estimate, -3.39; 95% CI, -4.79 to -2.00; P = 2.33 × 10-6; PTGDS: exercise DBP β estimate, -2.50; 95% CI, -3.29 to -1.70; P = 1.18 × 10-9). In fully adjusted models, TGFBR3 was inversely associated with incident hypertension in FHS, JHS, and MESA (hazard ratio [HR]: FHS, 0.86; 95% CI, 0.75-0.97; P = .01; JHS, 0.87; 95% CI, 0.77-0.97; P = .02; MESA, 0.84; 95% CI, 0.71-0.98; P = .03; pooled cohort, 0.86; 95% CI, 0.79-0.92; P = 6 × 10-5). Using cis-MR, genetically predicted levels of TGFBR3 were associated with SBP, hypertension, and CVD events (SBP: β, -0.38; 95% CI, -0.64 to -0.11; P = .006; hypertension: odds ratio [OR], 0.99; 95% CI, 0.98-0.99; P < .001; heart failure with hypertension: OR, 0.86; 95% CI, 0.77-0.97; P = .01; CVD: OR, 0.84; 95% CI, 0.77-0.92; P = 8 × 10-5; cerebrovascular events: OR, 0.77; 95% CI, 0.70-0.85; P = 5 × 10-7). Conclusions and Relevance Plasma proteomic profiling of EBP identified a novel protein, TGFBR3, which may protect against elevated BP and long-term CVD outcomes.
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Affiliation(s)
- Prashant Rao
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Michelle. J. Keyes
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Michael Y. Mi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Jacob L. Barber
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia
| | - Usman A. Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Shuliang Deng
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Clary B. Clish
- Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge
| | - Dongxiao Shen
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Laurie. A. Farrell
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - James G. Wilson
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Yan Gao
- Department of Data Sciences, University of Mississippi Medical Center, Jackson
| | - Wondwosen K. Yimer
- Department of Data Sciences, University of Mississippi Medical Center, Jackson
| | - Lynette Ekunwe
- Jackson Heart Study Field Center, University of Mississippi Medical Center, Jackson
| | - Michael E. Hall
- Department of Medicine, Division of Cardiology, University of Mississippi Medical Center, Jackson
| | - Paul M. Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor–University of California, Los Angeles Medical Center, Torrance
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor–University of California, Los Angeles Medical Center, Torrance
| | - Russell P. Tracy
- Department of Pathology Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor–University of California, Los Angeles Medical Center, Torrance
| | - Vanessa Xanthakis
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Mark A. Sarzynski
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia
| | - Robert E. Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge
| | - Jeremy M. Robbins
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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Lin JS, Petrera A, Hauck SM, Müller CL, Peters A, Thorand B. Associations of Proteomics With Hypertension and Systolic Blood Pressure: KORA S4/F4/FF4 and KORA Age1/Age2 Cohort Studies. Hypertension 2024; 81:1156-1166. [PMID: 38445514 PMCID: PMC11025610 DOI: 10.1161/hypertensionaha.123.22614] [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: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Hypertension, a complex condition, is primarily defined based on blood pressure readings without involving its pathophysiological mechanisms. We aimed to identify biomarkers through a proteomic approach, thereby enhancing the future definition of hypertension with insights into its molecular mechanisms. METHODS The discovery analysis included 1560 participants, aged 55 to 74 years at baseline, from the KORA (Cooperative Health Research in the Region of Augsburg) S4/F4/FF4 cohort study, with 3332 observations over a median of 13.4 years of follow-up. Generalized estimating equations were used to estimate the associations of 233 plasma proteins with hypertension and systolic blood pressure (SBP). For validation, proteins significantly associated with hypertension or SBP in the discovery analysis were validated in the KORA Age1/Age2 cohort study (1024 participants, 1810 observations). A 2-sample Mendelian randomization analysis was conducted to infer causalities of validated proteins with SBP. RESULTS Discovery analysis identified 49 proteins associated with hypertension and 99 associated with SBP. Validation in the KORA Age1/Age2 study replicated 7 proteins associated with hypertension and 23 associated with SBP. Three proteins, NT-proBNP (N-terminal pro-B-type natriuretic peptide), KIM1 (kidney injury molecule 1), and OPG (osteoprotegerin), consistently showed positive associations with both outcomes. Five proteins demonstrated potential causal associations with SBP in Mendelian randomization analysis, including NT-proBNP and OPG. CONCLUSIONS We identified and validated 7 hypertension-associated and 23 SBP-associated proteins across 2 cohort studies. KIM1, NT-proBNP, and OPG demonstrated robust associations, and OPG was identified for the first time as associated with blood pressure. For NT-proBNP (protective) and OPG, causal associations with SBP were suggested.
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Affiliation(s)
- Jie-sheng Lin
- Institute of Epidemiology (J.-s.L., A. Peters, B.T.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany (J.-s.L., B.T.)
| | - Agnese Petrera
- Metabolomics and Proteomics Core (A. Petrera, S.M.H.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefanie M. Hauck
- Metabolomics and Proteomics Core (A. Petrera, S.M.H.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Christian L. Müller
- Institute of Computational Biology (C.L.M.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Statistics (C.L.M.), Ludwig-Maximilians-Universität München, Munich, Germany
- Center for Computational Mathematics, Flatiron Institute, New York, NY (C.L.M.)
| | - Annette Peters
- Institute of Epidemiology (J.-s.L., A. Peters, B.T.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty (A. Peters), Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research, Partner München-Neuherberg, Germany (A. Peters, B.T.)
| | - Barbara Thorand
- Institute of Epidemiology (J.-s.L., A. Peters, B.T.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany (J.-s.L., B.T.)
- German Center for Diabetes Research, Partner München-Neuherberg, Germany (A. Peters, B.T.)
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Parvin S, Arabfard M, Ghazvini A, Ghanei M, Najafi A. Comparative proteomic analysis of mustard lung as a complicated disease using systems biology approach. BMC Pulm Med 2022; 22:437. [PMID: 36419000 PMCID: PMC9686120 DOI: 10.1186/s12890-022-02240-3] [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: 07/25/2022] [Accepted: 11/14/2022] [Indexed: 11/26/2022] Open
Abstract
During Iraq-Iran conflict, chemical weapons, particularly SM gas, were used numerous times, whose aftereffects are still present. This study aimed to compare serum proteome in the chronic ML (n = 10) and HC (n = 10). TMT label-based quantitative proteomics was used to examine serums from two groups. Among total significant proteins, 14 proteins were upregulated (log2 ≥ FC 0.5, p 0.05), and 6 proteins were downregulated (log2 ≤ FC - 0.5, p 0.05). By helping PPI network, and EA, 11 main pathways connected to significantly different protein expression levels were discovered, including inflammatory and cell adhesion signaling pathways. It may be deduced that the wounded organs of exposed individuals experience poor repair cycles of cell degeneration and regeneration because certain repair signals were elevated while other structural and adhesion molecules were downregulated. The systems biology approach can help enhance our basic knowledge of biological processes, and contribute to a deeper understanding of pathophysiological mechanisms, as well as the identification of potential biomarkers of disease.
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Affiliation(s)
- Shahram Parvin
- grid.420169.80000 0000 9562 2611Education Office, Pasteur Institute of Iran, Tehran, Iran
| | - Masoud Arabfard
- grid.411521.20000 0000 9975 294XChemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Ali Ghazvini
- grid.411521.20000 0000 9975 294XChemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Mostafa Ghanei
- grid.411521.20000 0000 9975 294XChemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Ali Najafi
- grid.411521.20000 0000 9975 294XMolecular Biology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
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Tandon R, Reyaz E, Roshanara, Jadhav M, Gandhi M, Dey R, Salotra P, Nakhasi HL, Selvapandiyan A. Identification of protein biomarkers of attenuation and immunogenicity of centrin or p27 gene deleted live vaccine candidates of Leishmania against visceral leishmaniasis. Parasitol Int 2022; 92:102661. [PMID: 36049661 DOI: 10.1016/j.parint.2022.102661] [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: 12/17/2021] [Revised: 07/08/2022] [Accepted: 08/23/2022] [Indexed: 10/15/2022]
Abstract
Currently, no licensed vaccine is available for human visceral leishmaniasis (VL), a fatal disease caused by the protozoan parasite Leishmania donovani. Two of our live attenuated L. donovani vaccine candidates, either deleted for Centrin1 (LdCen1-/-) or p27 gene (Ldp27-/-), that display reduced growth in macrophages were studied to be safe, immunogenic and protective against VL in various animal models. This report involves the identification of differentially expressed proteins, their related pathways and its underlying mechanism in the intracellular stage of these parasites, using Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) methods. Out of 50-60 proteins, found to be differentially expressed in these mutant parasites, 36 were found to be common in both the parasites. Such proteins mainly belong to the functional categories viz. metabolic enzymes, chaperones and stress proteins, proteins involved in translation, processing and transport and proteins involved in nucleic acid processing. Proteins known to be host protective, like Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), cytochrome c, calreticulin and those responsible for inducing immune response, namely tubulins, DEAD box RNA helicases, HSP70 and tryparedoxin, have been detected to be modulated in these parasites. Such proteins could be predicted as biomarkers, with further scope of study for their role in growth attenuation. SIGNIFICANCE: This study aims at predicting proteomic biomarkers of Leishmania parasite growth attenuation, that have immunomodulatory role in the disease leishmaniasis. Advanced studies could be helpful in establishing the role of these identified proteins in parasitic virulence and to predict the host interaction at molecular level. Also, these proteins could be exploited as attenuation markers during the development of genetically modified live attenuated parasites as vaccine candidates. These could be cross validated in varied species of Leishmania and other tyrpanosomatids for similar response towards identifying them as universal biomarkers of attenuation.
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Affiliation(s)
- Rati Tandon
- JH-Department of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi 110062, India
| | - Enam Reyaz
- JH-Department of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi 110062, India
| | - Roshanara
- JH-Department of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi 110062, India
| | - Manali Jadhav
- Centre for Research in Nanotechnology & Science, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Mayuri Gandhi
- Centre for Research in Nanotechnology & Science, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Ranadhir Dey
- Division of Emerging and Transfusion Transmitted Diseases, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Poonam Salotra
- National Institute of Pathology (ICMR), Safdarjung Hospital Campus, New Delhi 110029, India
| | - Hira L Nakhasi
- Division of Emerging and Transfusion Transmitted Diseases, Center for Biologics Evaluation and Research (CBER), Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Angamuthu Selvapandiyan
- JH-Department of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi 110062, India.
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Lin YT, Fall T, Hammar U, Gustafsson S, Ingelsson E, Ärnlöv J, Lind L, Engström G, Sundström J. Proteomic Analysis of Longitudinal Changes in Blood Pressure. J Clin Med 2019; 8:jcm8101585. [PMID: 31581667 PMCID: PMC6832911 DOI: 10.3390/jcm8101585] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 09/16/2019] [Accepted: 09/30/2019] [Indexed: 01/01/2023] Open
Abstract
Hypertension is the leading risk factor for premature death worldwide. The identification of modifiable causes of hypertension remains an imperative task. We aimed to investigate associations between 79 proteins implicated in cardiovascular disease and longitudinal blood pressure (BP) changes in three Swedish prospective cohorts. In a discovery phase, we investigated associations between baseline circulating protein levels assessed with a proximity extension assay and BP stage progression at follow-up 5 years later among persons without BP-lowering drugs at baseline in two independent community-based cohorts from the Prospective Investigation of the Vasculature in Uppsala Seniors study (PIVUS) and the Uppsala Longitudinal Study of Adult Men (ULSAM). We used an independent cohort, the Malmö Diet and Cancer Study (MDC), for replication. The primary outcome of BP stage progression was defined as per the 2017 AHA/ACC (American Heart Association/ American College of Cardiology) Guideline BP categories. We also investigated associations of protein levels with changes in BP on a continuous scale, and meta-analyzed all three cohorts. Levels of renin were associated with BP stage progression with a 5% false discovery rate (FDR) in the ULSAM (n = 238) and PIVUS (n = 566) cohorts, but we could not replicate this association in the MDC cohort (n = 2659). The association in the discovery cohorts was modest, with an odds ratio for BP stage progression over 5 years of 1.33 (95% confidence interval 1.14 to 1.56) per standard deviation of baseline renin. In conclusion, we could not find any novel robust associations with longitudinal BP increase in a proximity extension assay-based proteomics investigation in three cohorts.
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Affiliation(s)
- Yi-Ting Lin
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, 807 Kaohsiung City, Taiwan.
| | - Tove Fall
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Ulf Hammar
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Stefan Gustafsson
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Erik Ingelsson
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA.
- Stanford Diabetes Research Center, Stanford University, Stanford, CA 94305, USA.
| | - Johan Ärnlöv
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, 14152 Huddinge, Sweden.
- School of Health and Social Studies, Dalarna University, 79131 Falun, Sweden.
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Gunnar Engström
- Department of Clinical Sciences, Cardiovascular Epidemiology, Lund University, 21428 Malmö, Sweden.
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
- The George Institute for Global Health, University of New South Wales, Sydney 2042, Australia.
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Yao B, Liu J, Xu D, Pan D, Zhang M, Zhao D, Leng X. Dissection of the molecular targets and signaling pathways of Guzhi Zengsheng Zhitongwan based on the analysis of serum proteomics. Chin Med 2019; 14:29. [PMID: 31485261 PMCID: PMC6712859 DOI: 10.1186/s13020-019-0252-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 08/19/2019] [Indexed: 12/30/2022] Open
Abstract
Background Guzhi Zengsheng Zhitongwan (GZZSZTW) is an effective formula of traditional Chinese herbal medicine and has been widely applied in the treatment of joint diseases for many years. The aim of this study was to dissect the molecular targets and signaling pathways of Guzhi Zengsheng Zhitongwan based on the analysis of serum proteomics. Methods The Chinese herbs of GZZSZTW were immersed in 5 l distilled water and boiled with reflux extraction method. The extract was filtered, concentrated and freeze-dried. The chemical profile of GZZSZTW extract was determined by high-performance lipid chromatography (HPLC). The 7-week old Sprague-Dawley (SD) rats in GZZSZTW groups were received oral administration at doses of 0.8, 1.05, and 1.3 g/kg per day and the rats in blank group were fed with drinking water. Serum samples were collected from the jugular veins. Primary chondrocyte viability was evaluated by CCK-8 assay. A full spectrum of the molecular targets and signaling pathways of GZZSZTW were investigated by isobaric tags for relative and absolute quantitation (iTRAQ) analysis and a systematic bioinformatics analysis accompanied with parallel reaction monitoring (PRM) and siRNA validation. Results GZZSZTW regulated a series of functional proteins and signaling pathways responsible for cartilage development, growth and repair. Functional classification analysis indicated that these proteins were mainly involved in the process of cell surface dynamics. Pathway analysis mapped these proteins into several signalling pathways involved in chondrogenesis, chondrocyte proliferation and differentiation, and cartilage repair, including hippo signaling pathway, cGMP-PKG signaling pathway, cell cycle and calcium signaling pathway. Protein–protein interaction analysis and siRNA knockdown assay identified an interaction network consisting of TGFB1, RHO GTPases, ILK, FLNA, LYN, DHX15, PKM, RAB15, RAB1B and GIPC1. Conclusions Our results suggest that the effects of GZZSZTW on treating joint diseases might be achieved through the TGFB1/RHO interaction network coupled with other proteins and signaling pathways responsible for cartilage development, growth and repair. Therefore, the present study has greatly expanded our knowledge and provided scientific support for the underlying therapeutic mechanisms of GZZSZTW on treating joint diseases. It also provided possible alternative strategies for the prevention and treatment for joint diseases by using traditional Chinese herbal formulas.
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Affiliation(s)
- Baojin Yao
- 1Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
| | - Jia Liu
- 2College of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
| | - Duoduo Xu
- 1Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
| | - Daian Pan
- 1Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
| | - Mei Zhang
- 3Innovation Practice Center, Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
| | - Daqing Zhao
- 1Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
| | - Xiangyang Leng
- 4The Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, 130117 Jilin China
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