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Frontiers of Medicine

ISSN 2095-0217

ISSN 2095-0225(Online)

CN 11-5983/R

Postal Subscription Code 80-967

2018 Impact Factor: 1.847

Front. Med.    2022, Vol. 16 Issue (3) : 378-388    https://doi.org/10.1007/s11684-021-0840-y
RESEARCH ARTICLE
Proteomics study of Mycoplasma pneumoniae pneumonia reveals the Fc fragment of the IgG-binding protein as a serum biomarker and implicates potential therapeutic targets
Jinrong Liu1, Rongfang Shen2, Lin Feng2, Shujun Cheng2, Jun Chen3(), Ting Xiao2(), Shunying Zhao1()
1. Department of Respiratory Medicine, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China
2. State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
3. Beijing Engineering Research Center of Pediatric Surgery, Engineering and Transformation Center, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China
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Abstract

Macrolide and corticosteroid resistance has been reported in patients with Mycoplasma pneumoniae (MP) pneumonia (MPP). MP clearance is difficult to achieve through antibiotic treatment in sensitive patients with severe MPP (SMPP). SMPP in children might progress to airway remodeling and even bronchiolitis/bronchitis obliterans. Therefore, identifying serum biomarkers that indicate MPP progression and exploring new targeted drugs for SMPP treatment require urgency. In this study, serum samples were collected from patients with general MPP (GMPP) and SMPP to conduct proteomics profiling. The Fc fragment of the IgG-binding protein (FCGBP) was identified as the most promising indicator of SMPP. Biological enrichment analysis indicated uncontrolled inflammation in SMPP. ELISA results proved that the FCGBP level in patients with SMPP was substantially higher than that in patients with GMPP. Furthermore, the FCGBP levels showed a decreasing trend in patients with GMPP but the opposite trend in patients with SMPP during disease progression. Connectivity map analyses identified 25 possible targeted drugs for SMPP treatment. Among them, a mechanistic target of rapamycin kinase (mTOR) inhibitor, which is a macrolide compound and a cell proliferation inhibitor, was the most promising candidate for targeting SMPP. To our knowledge, this study was the first proteomics-based characterization of patients with SMPP and GMPP.

Keywords severe Mycoplasma pneumoniae pneumonia      children      proteomics      Fc fragment of the IgG-binding protein      mechanistic target of rapamycin kinase inhibitor     
Corresponding Author(s): Jun Chen,Ting Xiao,Shunying Zhao   
Just Accepted Date: 27 May 2021   Online First Date: 13 July 2021    Issue Date: 18 July 2022
 Cite this article:   
Jinrong Liu,Rongfang Shen,Lin Feng, et al. Proteomics study of Mycoplasma pneumoniae pneumonia reveals the Fc fragment of the IgG-binding protein as a serum biomarker and implicates potential therapeutic targets[J]. Front. Med., 2022, 16(3): 378-388.
 URL:  
https://academic.hep.com.cn/fmd/EN/10.1007/s11684-021-0840-y
https://academic.hep.com.cn/fmd/EN/Y2022/V16/I3/378
Patients Age Gender Duration of fever (day) Duration of cough (day) WBC (×109/L) NEUT (%) CRP(mg/L) D-dimer (mg/L) LDH Radiology Treatment Following clinical symptoms
GMPP
1 9y3m Male 5 5 7.6 63.3 8 0.146 167 Right upper shadow Azithromycin
2 3y11m Female 7 7 5.7 32.3 25.3 0.378 308 Right upper shadow Azithromycin
SMPP
1 9y4m Male 20 20 4.49 78.2 72 7.355 298 Pulmonary consolidation at right upper, hydrothorax Azithromycin, glucocorticoid Necrotizing pneumonia
2 12y2m Female 8 8 10.9 80.9 277 1.058 643 Pulmonary consolidation at large scope Azithromycin, glucocorticoid
Tab.1  Detailed clinical characteristic of children enrolled in proteomics analysis
Overall (n = 85) GMPP (n = 36) SMPP (n = 49) P
Gender, n (%)
Female 34 (40.0) 15 (41.7) 19 (38.8) 0.964
Male 51 (60.0) 21 (58.3) 30 (61.2)
Age (mean (SD)) 7.72 (2.43) 7.97 (2.43) 7.53 (2.43) 0.413
CRP (mean (SD)) 57.48 (47.62) 23.69 (17.54) 82.31 (47.52) <0.001
Bronchial occlusion, n (%)
No 71 (83.5) 36 (100.0) 35 (71.4) 0.001
Yes 14 (16.5) 0 (0.0) 14 (28.6)
Mucus plug, n (%)
No 44 (51.8) 34 (94.4) 10 (20.4) <0.001
Yes 41 (48.2) 2 (5.6) 39 (79.6)
Airway mucous necrosis, n (%)
No 67 (78.8) 36 (100.0) 31 (63.3) <0.001
Yes 18 (21.2) 0 (0.0) 18 (36.7)
Airway deformation, n (%)
No 61 (71.8) 36 (100.0) 25 (51.0) <0.001
Yes 24 (28.2) 0 (0.0) 24 (49.0)
Tab.2  Clinical characteristics of patients enrolled in ELISA
Fig.1  Biological differences between general Mycoplasma pneumoniae pneumonia (GMPP) and severe Mycoplasma pneumoniae pneumonia (SMPP). (A) 2D scatter plot of the proteins identified in patients with GMPP and SMPP. Proteins with log2FC>0.5 were considered to be differentially expressed proteins and are shaded in blue or red. Corresponding gene symbols of proteins with log2FC>1.5 are labeled in the plot. The label-free quantification (LFQ) intensity represents the protein quantification level. (B, C) Gene ontology enrichment analysis results of the dysregulated genes enriched in patients with SMPP (B) and GMPP (C). Top 15 GO terms with the most significant enrichment results for each category (biological process, molecular function, and cellular component). (D) Kyoto Encyclopedia of Genes and Genomes analysis results for the dysregulated genes enriched in patients with SMPP (top) and GMPP (bottom). All enrichment terms that reached significance are shown. (E) Overview of the complement and coagulation cascade pathways. The colored boxes (green, gray, and red) are the identified proteins in these pathways. The color intensity represents the corresponding log2FC level; and increase in color intensity indicates an increase in enrichment in patients with SMPP (red) and GMPP (green).
Fig.2  Fc fragment of the IgG-binding protein (FCGBP) is a promising indicator for the progression to severe Mycoplasma pneumoniae pneumonia (SMPP). The serum concentration of FCGBP identified by ELISA in patients with general Mycoplasma pneumoniae pneumonia (GMPP) and SMPP on the 1st day of admission (A) and 5–7 days after admission (B). Statistical significance level of comparisons and fold change level (SMPP vs. GMPP) are indicated in the text. (C) Pairwise comparison of FCGBP serum concentrations in the GMPP group for treatment-naïve patients on the 1st day of admission and after 5–7 days of admission. (D) Pairwise comparison of FCGBP serum concentrations in the SMPP group for the patients on the 1st day of admission and after 5–7 days of admission. The statistical significance level of pairwise comparisons is indicated in the text.
Fig.3  Potential transcription factors (TFs) that regulate the expression of IgG-binding protein Fc fragment. (A) Predictive value of FCGBP serum levels in the early, late, and all stages. (B) Top 20 TFs with the highest regulatory potential scores. The regulatory potential score estimates the possibility that a factor can regulate a gene. Factor names are placed on the x-axis. Dots on the same vertical line with the same color represent the same factor. Each dot represents ChIP-Seq data.
Fig.4  Promising therapeutic drugs that inhibit progression to severe Mycoplasma pneumoniae pneumonia. (A) A bar graph of candidate perturbations inferred from connectivity map analyses. The top 10 compounds with the most positive and most negative connectivity scores are shown. (B) Connectivity map (CMap) mode-of-action analyses of the 25 selected drugs with connectivity scores<-70. Potential mechanisms and inhibitors are placed in the right and upper panels. The perturbations’ modes of action are indicated by black dots. (C) CMap gene target analyses of the 25 selected drugs. Identified target genes and inhibitors are placed in the right and upper panels. The perturbations’ target genes are indicated by black dots. (D) Protein–protein interaction network of the target genes inferred from CMap gene target analysis. The relationships between these proteins are inferred from STRING.
1 OA Prince, TM Krunkosky, ES Sheppard, DC Krause. Modelling persistent Mycoplasma pneumoniae infection of human airway epithelium. Cell Microbiol 2018; 20(3): e12810
https://doi.org/10.1111/cmi.12810 pmid: 29155483
2 J Liu, F Zhao, J Lu, H Xu, H Liu, X Tang, H Yang, J Zhang, S Zhao. High Mycoplasma pneumoniae loads and persistent long-term Mycoplasma pneumoniae DNA in lower airway associated with severity of pediatric Mycoplasma pneumoniae pneumonia. BMC Infect Dis 2019; 19(1): 1045
https://doi.org/10.1186/s12879-019-4667-y pmid: 31823740
3 CM Salvatore, M Fonseca-Aten, K Katz-Gaynor, AM Gomez, RD Hardy. Intranasal interleukin-12 therapy inhibits Mycoplasma pneumoniae clearance and sustains airway obstruction in murine pneumonia. Infect Immun 2008; 76(2): 732–738
https://doi.org/10.1128/IAI.00878-07 pmid: 18039833
4 J Liu, R He, R Wu, B Wang, H Xu, Y Zhang, H Li, S Zhao. Mycoplasma pneumoniae pneumonia associated thrombosis at Beijing Children’s Hospital. BMC Infect Dis 2020; 20(1): 51
https://doi.org/10.1186/s12879-020-4774-9 pmid: 31948402
5 C Zhao, J Liu, H Yang, L Xiang, S Zhao. Mycoplasma pneumoniae-associated bronchiolitis obliterans following acute bronchiolitis. Sci Rep 2017; 7(1): 8478
https://doi.org/10.1038/s41598-017-08861-7 pmid: 28814783
6 JR Liu, J Lu, F Dong, HM Li, H Liu, XL Tang, YL Guo, SY Zhao. Low bacterial co-infection invalidates the early use of non-anti-Mycoplasma pneumoniae antibiotics in pediatric refractory Mycoplasma pneumoniae pneumonia patients. Front Pediatr 2018; 6: 296
https://doi.org/10.3389/fped.2018.00296 pmid: 30416990
7 MA Leong, R Nachajon, E Ruchelli, JL Allen. Bronchitis obliterans due to Mycoplasma pneumonia. Pediatr Pulmonol 1997; 23(5): 375–381
https://doi.org/10.1002/(SICI)1099-0496(199705)23:5<375::AID-PPUL10>3.0.CO;2-2 pmid: 9168512
8 Y Yan, Y Wei, W Jiang, C Hao. The clinical characteristics of corticosteroid-resistant refractory Mycoplasma pneumoniae pneumonia in children. Sci Rep 2016; 6(1): 39929
https://doi.org/10.1038/srep39929 pmid: 28008989
9 G Yu, LG Wang, Y Han, QY He. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS 2012; 16(5): 284–287
https://doi.org/10.1089/omi.2011.0118 pmid: 22455463
10 W Luo, C Brouwer. Pathview: an R/Bioconductor package for pathway-based data integration and visualization. Bioinformatics 2013; 29(14): 1830–1831
https://doi.org/10.1093/bioinformatics/btt285 pmid: 23740750
11 R Zheng, C Wan, S Mei, Q Qin, Q Wu, H Sun, CH Chen, M Brown, X Zhang, CA Meyer, XS Liu. Cistrome Data Browser: expanded datasets and new tools for gene regulatory analysis. Nucleic Acids Res 2019; 47(D1): D729–D735
https://doi.org/10.1093/nar/gky1094 pmid: 30462313
12 A Subramanian, R Narayan, SM Corsello, DD Peck, TE Natoli, X Lu, J Gould, JF Davis, AA Tubelli, JK Asiedu, DL Lahr, JE Hirschman, Z Liu, M Donahue, B Julian, M Khan, D Wadden, IC Smith, D Lam, A Liberzon, C Toder, M Bagul, M Orzechowski, OM Enache, F Piccioni, SA Johnson, NJ Lyons, AH Berger, AF Shamji, AN Brooks, A Vrcic, C Flynn, J Rosains, DY Takeda, R Hu, D Davison, J Lamb, K Ardlie, L Hogstrom, P Greenside, NS Gray, PA Clemons, S Silver, X Wu, WN Zhao, W Read-Button, X Wu, SJ Haggarty, LV Ronco, JS Boehm, SL Schreiber, JG Doench, JA Bittker, DE Root, B Wong, TR Golub. A next generation connectivity map: L1000 platform and the first 1,000,000 profiles. Cell 2017; 171(6): 1437–1452.e1417 PMID: 29195078
https://doi.org/10.1016/j.cell.2017.10.049
13 Z Gu, R Eils, M Schlesner. Complex heatmaps reveal patterns and correlations in multidimensional genomic data. Bioinformatics 2016; 32(18): 2847–2849
https://doi.org/10.1093/bioinformatics/btw313 pmid: 27207943
14 M Lluch-Senar, L Cozzuto, J Cano, J Delgado, V Llórens-Rico, S Pereyre, C Bebear, L Serrano. Comparative “-omics” in Mycoplasma pneumoniae clinical isolates reveals key virulence factors. PLoS One 2015; 10(9): e0137354
https://doi.org/10.1371/journal.pone.0137354 pmid: 26335586
15 M Gao, K Wang, M Yang, F Meng, R Lu, H Zhuang, G Cheng, X Wang. Transcriptome analysis of bronchoalveolar lavage fluid from children with Mycoplasma pneumoniae pneumonia reveals natural killer and T cell-proliferation responses. Front Immunol 2018; 9: 1403
https://doi.org/10.3389/fimmu.2018.01403 pmid: 29967623
16 J Li, L Sun, F Xu, H Qi, C Shen, W Jiao, J Xiao, Q Li, B Xu, A Shen. Screening and identification of APOC1 as a novel potential biomarker for differentiate of Mycoplasma pneumoniae in children. Front Microbiol 2016; 7: 1961
https://doi.org/10.3389/fmicb.2016.01961 pmid: 28018301
17 JL Yu, QF Song, ZW Xie, WH Jiang, JH Chen, HF Fan, YP Xie, G Lu. iTRAQ-based quantitative proteomics study in patients with refractory Mycoplasma pneumoniae pneumonia. Jpn J Infect Dis 2017; 70(5): 571–578
https://doi.org/10.7883/yoken.JJID.2016.355 pmid: 28003598
18 E Abraham. Coagulation abnormalities in acute lung injury and sepsis. Am J Respir Cell Mol Biol 2000; 22(4): 401–404
https://doi.org/10.1165/ajrcmb.22.4.f184 pmid: 10745020
19 B Engelmann, S Massberg. Thrombosis as an intravascular effector of innate immunity. Nat Rev Immunol 2013; 13(1): 34–45
https://doi.org/10.1038/nri3345 pmid: 23222502
20 KA Fox, DE Kirwan, AM Whittington, N Krishnan, BD Robertson, RH Gilman, JW López, S Singh, JC Porter, JS Friedland. Platelets regulate pulmonary inflammation and tissue destruction in tuberculosis. Am J Respir Crit Care Med 2018; 198(2): 245–255
https://doi.org/10.1164/rccm.201710-2102OC pmid: 29420060
21 EA Middleton, AS Weyrich, GA Zimmerman. Platelets in pulmonary immune responses and inflammatory lung diseases. Physiol Rev 2016; 96(4): 1211–1259
https://doi.org/10.1152/physrev.00038.2015 pmid: 27489307
22 SC Pitchford, Y Riffo-Vasquez, A Sousa, S Momi, P Gresele, D Spina, CP Page. Platelets are necessary for airway wall remodeling in a murine model of chronic allergic inflammation. Blood 2004; 103(2): 639–647
https://doi.org/10.1182/blood-2003-05-1707 pmid: 14504080
23 ME Johansson, KA Thomsson, GC Hansson. Proteomic analyses of the two mucus layers of the colon barrier reveal that their main component, the Muc2 mucin, is strongly bound to the Fcgbp protein. J Proteome Res 2009; 8(7): 3549–3557
https://doi.org/10.1021/pr9002504 pmid: 19432394
24 C Zhou, H Chen, L Han, F Xue, A Wang, YJ Liang. Screening of genes related to lung cancer caused by smoking with RNA-Seq. Eur Rev Med Pharmacol Sci 2014; 18(1): 117–125
pmid: 24452952
25 K Kobayashi, M Yagasaki, N Harada, K Chichibu, T Hibi, T Yoshida, WR Brown, M Morikawa. Detection of Fcγ binding protein antigen in human sera and its relation with autoimmune diseases. Immunol Lett 2001; 79(3): 229–235
https://doi.org/10.1016/S0165-2478(01)00288-7 pmid: 11600203
26 JL Schwartz. Fcgbp_a potential viral trap in RV144. Open AIDS J 2014; 8(1): 21–24
https://doi.org/10.2174/1874613601408010021 pmid: 25246998
27 Y Wang, Y Liu, H Liu, Q Zhang, H Song, J Tang, J Fu, X Wang. FcGBP was upregulated by HPV infection and correlated to longer survival time of HNSCC patients. Oncotarget 2017; 8(49): 86503–86514
https://doi.org/10.18632/oncotarget.21220 pmid: 29156811
28 C Li, R Wang, B Su, Y Luo, J Terhune, B Beck, E Peatman. Evasion of mucosal defenses during Aeromonas hydrophila infection of channel catfish (Ictalurus punctatus) skin. Dev Comp Immunol 2013; 39(4): 447–455
https://doi.org/10.1016/j.dci.2012.11.009 pmid: 23219904
29 T Houben, S Harder, H Schlüter, H Kalbacher, W Hoffmann. Different forms of TFF3 in the human saliva: heterodimerization with IgG Fc binding protein (FCGBP). Int J Mol Sci 2019; 20(20): 5000
https://doi.org/10.3390/ijms20205000 pmid: 31658587
30 EP Reeves, T Ali, P Leonard, S Hearty, R O'Kennedy, FE May, BR Westley, C Josenhans, M Rust, S Suerbaum, A Smith, B Drumm, M Clyne. Helicobacter pylori lipopolysaccharide interacts with TFF1 in a pH-dependent manner. Gastroenterology 2008; 135(6): 2043–2054.e1–2
https://doi.org/DOI: 10.1053/j.gastro.2008.08.049
31 B Dolan, J Naughton, N Tegtmeyer, FE May, M Clyne. The interaction of Helicobacter pylori with the adherent mucus gel layer secreted by polarized HT29-MTX-E12 cells. PLoS One 2012; 7(10): e47300
https://doi.org/10.1371/journal.pone.0047300 pmid: 23056622
32 L Xiong, Y Wen, X Miao, Z Yang. NT5E and FcGBP as key regulators of TGF-1-induced epithelial-mesenchymal transition (EMT) are associated with tumor progression and survival of patients with gallbladder cancer. Cell Tissue Res 2014; 355(2): 365–374
https://doi.org/10.1007/s00441-013-1752-1 pmid: 24310606
33 G Morrison, R Scognamiglio, A Trumpp, A Smith. Convergence of cMyc and β-catenin on Tcf7l1 enables endoderm specification. EMBO J 2016; 35(3): 356–368
https://doi.org/10.15252/embj.201592116 pmid: 26675138
34 Z Chen, Z Ji, SF Ngiow, S Manne, Z Cai, AC Huang, J Johnson, RP Staupe, B Bengsch, C Xu, S Yu, M Kurachi, RS Herati, LA Vella, AE Baxter, JE Wu, O Khan, JC Beltra, JR Giles, E Stelekati, LM McLane, CW Lau, X Yang, SL Berger, G Vahedi, H Ji, EJ Wherry. TCF-1-centered transcriptional network drives an effector versus exhausted CD8 T cell-fate decision. Immunity 2019; 51(5): 840–855.e845 PMID: 31606264
https://doi.org/DOI: 10.1016/j.immuni.2019.09.013
35 RB Kennedy, IG Ovsyannikova, VS Pankratz, IH Haralambieva, RA Vierkant, RM Jacobson, GA Poland. Genome-wide genetic associations with IFNg response to smallpox vaccine. Hum Genet 2012; 131(9): 1433–1451
https://doi.org/10.1007/s00439-012-1179-x pmid: 22661280
36 Y Zhao, G Ma, X Yang. HDAC5 promotes Mycoplasma pneumoniae-induced inflammation in macrophages through NF-kB activation. Life Sci 2019; 221: 13–19
https://doi.org/10.1016/j.lfs.2019.02.004 pmid: 30738045
37 IS Choi, JH Byeon, Y Yoo, KC Lee, JT Choung. Increased serum interleukin-5 and vascular endothelial growth factor in children with acute mycoplasma pneumonia and wheeze. Pediatr Pulmonol 2009; 44(5): 423–428
https://doi.org/10.1002/ppul.20961 pmid: 19360850
38 SH Wang, LH Li, DM Zou, XM Zheng, J Deng. Roles of the mammalian target of rapamycin (mTOR) signaling pathway in the repair of hyperoxia-induced acute lung injury. Adv Clin Exp Med 2020; 29(1): 13–23
https://doi.org/10.17219/acem/76170 pmid: 31782272
39 NN Liu, PR Flanagan, J Zeng, NM Jani, ME Cardenas, GP Moran, JR Köhler. Phosphate is the third nutrient monitored by TOR in Candida albicans and provides a target for fungal-specific indirect TOR inhibition. Proc Natl Acad Sci USA 2017; 114(24): 6346–6351
https://doi.org/10.1073/pnas.1617799114 pmid: 28566496
40 M Bevacqua, F Baldo, S Pastore, E Valencic, A Tommasini, A Maestro, M Rabusin, A Arbo, E Barbi. Off-label use of sirolimus and everolimus in a pediatric center: a case series and review of the literature. Paediatr Drugs 2019; 21(3): 185–193
https://doi.org/10.1007/s40272-019-00337-7 pmid: 31124053
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