| Literature DB >> 23248627 |
Abstract
Pentraxin 3 (PTX3) is a soluble pattern recognition receptor which is classified as a long-pentraxin in the pentraxin family. It is known to play an important role in innate immunity, inflammatory regulation, and female fertility. PTX3 is synthesized by specific cells, primarily in response to inflammatory signals. Among these various cells, neutrophils have a unique PTX3 production system. Neutrophils store PTX3 in neutrophil-specific granules and then the stored PTX3 is released and localizes in neutrophil extracellular traps (NETs). Although certain NET components have been identified, such as histones and anti-microbial proteins, the detailed mechanisms by which NETs localize, as well as capture and kill microbes, have not been fully elucidated. PTX3 is a candidate diagnostic marker of infection and vascular damage. In severe infectious diseases such as sepsis, the circulating PTX3 concentration increases greatly (up to 100 ng/mL, i.e., up to 100-fold of the normal level). Even though it is clearly implied that PTX3 plays a protective role in sepsis and certain other disorders, the detailed mechanisms by which it does so remain unclear. A proteomic study of PTX3 ligands in septic patients revealed that PTX3 forms a complex with certain NET component proteins. This suggests a role for PTX3 in which it facilitates the efficiency of anti-microbial protein pathogen clearance by interacting with both pathogens and anti-microbial proteins. We discuss the possible relationships between PTX3 and NET component proteins in the host protection afforded by the innate immune response. The PTX3 complex has the potential to be a highly useful diagnostic marker of sepsis and other inflammatory diseases.Entities:
Keywords: PTX3; anti-microbial protein; diagnosis; host-protection; pentraxin; protein complex
Year: 2012 PMID: 23248627 PMCID: PMC3521240 DOI: 10.3389/fimmu.2012.00378
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Circulating PTX3 levels measurements in clinical trials.
| Physiological level | 2.00 (1.95, 2.04) | Yamasaki et al., | |
| Infectious diseases | Systemic inflammatory response syndrome (SIRS) | SIRS: 28.0 ± 5.6 Control: 1.04 ± 0.09 | Muller et al., |
| Pulmonary tuberculosis (TB) | TB: 3.21 | Azzurri et al., | |
| Control: 0.98 | |||
| Sepsis | Sepsis: 26 (1, 202) | Hill et al., | |
| Control: 6 (1, 12) | |||
| Febrile in the intensive/medium care unit (ICU/MC) or ward | In ICU/MC: 44.4 (13.6, 105.9) | De Kruif et al., | |
| In ward: 14.2 (7.01, 25.1) | |||
| Control: 2.30 (1.66, 3.67) | |||
| Bacteremia | Non-survivor: 44.8 (10.7, 69.4) | Huttunen et al., | |
| Survivor: 6.4 (3.4, 13.5) | |||
| Cardiovascular diseases | Unstable angina pectoris (UAP) | UAP: 6.09 (4.34–7.85) | Inoue et al., |
| Control: 2.30 (2.03–2.55) | |||
| Chronic heart failure (CHF) | CHF: 3.06 (2.38, 4.23) | Kotooka et al., | |
| Control: 1.91 (1.35, 2.60) | |||
| Cardiac event: 6.0 (4.3, 9.3) | Ishino et al., | ||
| Event-free: 3.2 (2.0, 5.5) | |||
| Heart failure (HF) | Cardiac event: 6.22 (5.59) | Suzuki et al., | |
| Event-free: 2.99 (2.95) | |||
| HF: 3.28 (1.51, 2.90) | Matsubara et al., | ||
| Non-HF: 2. 18 (1.51, 2.90) | |||
| Coronary artery disease (CAD) | CAD with inflammatory rheumatic disease (IRD): 1.96 ± 0.98 | Hollan et al., | |
| Control: 1.21 ± 0.59 | |||
| Aortic valve stenosis (AS) | AS: 3.5 ± 1.9 | Naito et al., | |
| Control: 2.1 ± 0.8 | |||
| Acute coronary syndrome (ACS) | ACS: 1.73 ± 0.82 | Ustundag et al., | |
| Control: 0.50 ± 0.39 | |||
| ACS: 0.36 (0.225, 1.39) | Kume et al., | ||
| Control: 0.015 (0, 0.06) | |||
| Hypertension | Anti-hypertensive mediation | Parlak et al., | |
| Pre-treatment: 35.25 ± 5.45 | |||
| Post-treatment: 0.14 ± 0.19 | |||
| Acute ischemic strokes | Non-survivor: 18.0 (8.2, 26.1) | Ryu et al., | |
| Survivor: 6.4 (3.4, 11.8) | |||
| Giant cell arteritis (GCA) | GCA: 23.31 ± 4.06 | Baldini et al., | |
| Control: 3.97 ± 0.28 | |||
| Kidney diseases | Hemodialysis (HD) | HD: 3.03 ± 1.81 | Malaponte et al., |
| Uremic patients: 2.34 ± 1.19 | |||
| Control 1.03 ±0.4 | |||
| HD: 1.87 (1.34, 2.50) | Xu et al., | ||
| Control: 1.11 (0.86, 1.51) | |||
| Renal transplant patients: 5.78 (1.09–20.36) | Argani et al., | ||
| HD group: 1.65 (0.24–7.89) | |||
| Chronic kidney disease (CKD) | Stage 5 CKD: 5.7 (0.9, 64.3) | Tong et al., | |
| Stage 3 to 4 CKD: 2.2 (0.4, 16.0) | |||
| Control: 1.8 (0.1, 9.1) | |||
| Stage 5 CKD: 5.3 (1.0, 58.0) | Suliman et al., | ||
| Control: 1.8 (0.1, 9.2) | |||
| CKD: 7.7 (1.8, 32.9) | Yilmaz et al., | ||
| Control: 1.3 (0.1, 2.7) | |||
| CKD: 3.80 ± 2.35 | Nishi et al., | ||
| Control: 2.15 ± 0.93 | |||
| CKD with periodontitis: 6.3380 ± 2.74875 | Pradeep et al., | ||
| CKD: 5.4100 ± 2.65296 | |||
| Healthy: 1.8350 ± 0.75977 | |||
| Female reproductive system diseases | Preeclampsia (PE) | PE: 13.8 (3.9, 32.3) | Cetin et al., |
| Control: 2.2 (1.2, 3.8) | |||
| PE: 22.64 (18.56, 26.34) | Hamad et al., | ||
| Control: 13.17 (8.55, 16.54) | |||
| Pelvic inflammatory disease (PID) | PID: 9.3 ± 1.01 | Chang et al., | |
| Control: 2.27 ± 0.12 | |||
| Polycystic ovary syndrome (PCOS) | PCOS: 1.0 ± 3.6 | Aydogdu et al., | |
| Control: 0.8 ± 0.8 | |||
| Others | Severe Psoriasis (sP) | sP: 2.84 ± 0.94 | Bevelacqua et al., |
| Control: 1.22 ± 0.47 | |||
| Ulcerative colitis (UC) and crohn's disease (CD) | Active UC: 8.22 ± 5.48 | Kato et al., | |
| Active CD: 5.80 ± 3.59 | |||
| Control: 1.76 ± 1.02 | |||
| Obesity | Obesity: 0.99 ± 0.09 | Miyaki et al., | |
| Control: 0.63 ± 0.05 | |||
| Central obesity in abdominal obesity patients | Central obesity: 3.00 ± 2.61 | Shim et al., | |
| Control: 1.33 ± 0.81 | |||
| Severe traumatic brain injury (TBI) | non-survivors 9.95 (6.42) | Gullo Jda et al., | |
| Survivors 5.46 (4.87) | |||
| Obstructive sleep apnea (OSA) | Moderate-to severe OSA: 2.36 (1.79, 2.98) | Kasai et al., | |
| Control: 1.53 (1.14, 2.04) | |||
| Schizophrenia (SZ) | SZ with the metabolic syndrome: 388.2 (504.1) | Beumer et al., | |
| SZ: 430.4 (523.0) | |||
| Control: 213.6 (524.0) |
PTX3 concentrations are shown in ng/mL, unless indicated.
Geometrical mean (confidence interval).
Mean ± SD.
Geometrical mean.
Median (interquartile range).
Mean (95% confidence interval).
Median (25th percentile, 75th percentile).
Mean ± SEM.
Median (Minimum-Maximum).
Responses to certain disorders in PTX3-knockout and PTX3-transgenic mice.
| Lung injury | Murine hepatitis virus strain 1 (MHV-1) infection | Causing greater severity of acute lung injury (ALI) | Han et al., |
| Ventilator-induced lung injury (VILI) | Faster development of VILI | Real et al., | |
| LPS instillation | Causing greater severity of ALI | Han et al., | |
| Vascular damage | Coronary artery ligation and reperfusion | Worsen heart damage | Salio et al., |
| Atherogenic diet feed | Increased atherosclerotic lesion area in PTX3 and ApoE-double KO mice | Norata et al., | |
| Ischemia and reperfusion of the superior mesenteric artery | Prevent tissue injury and mortality | Souza et al., | |
| Increased tissue injury and mortality | Souza et al., | ||
| Infection | LPS-induced endotoxemia | Increased survival ratio | Dias et al., |
| CLP-induced sepsis | Increased survival ratio | Dias et al., | |
| Pulmonary infection by | Decreased survival ratio | Garlanda et al., | |
| Pulmonary infection by | Faster lethality by a high inoculum administration | Soares et al., | |
| Delayed lethality by a mid-to-low inoculum administration | Soares et al., | ||
| Murine cytomegalovirus (MCMV) infection | More susceptible to MCMV infection | Bozza et al., | |
| Influenza virus infection | More susceptible to influenza virus infection | Reading et al., | |
| Others | Fas-deficient (lpr) C57BL/6 (B6) mice with mild lupus-like autoimmunity | Aggravate autoimmune lung disease in PTX3-KO B6Lpr mice | Lech et al., |
| Kidney ischemia reperfusion injury | Less kidney injury and inflammation | Chen et al., | |
| Subcutaneous injection of Matrigel containing FGF2 and/or TSG-6 | Abolishing of vascularization inhibition in PTX-KO mice | Leali et al., | |
| Rolling interaction of PMNs in the mesenteric venules | Increased rolling interaction frequency | Deban et al., | |
| Sexual system | Subfertile | Varani et al., | |
| Kainate-induced seizures | More widespread seizure-related neuronal damage in the forebrain of PTX3-KO mice | Ravizza et al., |
PTX3-knockout mouse study.
PTX3-transgenic mouse study.
List of the NET component proteins and proteins belonging to the PTX3 complex.
| Granules | Neutrophil elastase | ELANE | |
| Lactotransferrin | LTF | ||
| Azurocidin | AZU1 | Yes | |
| Cathepsin G | CTSG | ||
| Myeloperoxidase | MPO | Yes | |
| Proteinase 3 | PRTN3 | ||
| Lysozyme C | LYZ | ||
| Neutrophil defensin 1 and 3 | DEFA1 and 3 | Yes (DEFA1) | |
| Pentraxin 3 | PTX3 | Target protein | |
| Bactericidal permeability-increasing protein | BPI | ||
| Cathelicidin anti-microbial peptide | CAMP | ||
| Nucleus | Histone H1 | H1F0 | |
| Histone H2A | H2A | Yes | |
| Histone H2B | H2B | ||
| Histone H2B-like | H2B | ||
| Histone H3 | H3 | Yes | |
| Histone H4 | H4 | Yes | |
| Myeloid cell nuclear differentiation antigen | MNDA | ||
| Cytoplasm | S100 calcium-binding protein A8 | S100A8 | |
| S100 calcium binding protein A9 | S100A9 | ||
| S100 calcium-binding protein A12 | S100A12 | ||
| Cytoskeleton | Actin (beta and/or gamma 1) | ACTB, ACTG1 | Yes |
| Myosin-9 | MYH9 | Yes | |
| Alpha-actinin (1 and/or -4) | ACTN1, ACTN4 | ||
| Plastin-2 | LCP1 | ||
| Cytokeratin-10 | KRT10 | Yes | |
| Peroxisomal | Catalase | CAT | |
| Glycolytic enzymes | Alpha-enolase | ENO1 | Yes |
| Transketolase | TKT | Yes | |
Figure 1Schematic relationship and role of PTX3 and NET component proteins in pathogen recognition and clearance. NET component proteins which were identified as PTX3 complex (Daigo et al., 2012) are associated PTX3 in NETs. Among these, the confirmed direct interaction of AZU1 and MPO to PTX3, and formerly reported histone-PTX3 interaction (Garlanda et al., 2005) are designated by two-way arrows. These bindings facilitate pathogen clearance efficiency of AZU1 and MPO. The pathogen recognition and anti-pathogenic action are designated by open arrow and closed arrow in box, respectively. Two-way arrows with dashed lines designate other potential interactions to PTX3. The indirect association to DNA via histone or basic proteins such as DEFA1, AZU1, and MPO, which DNA associations are designated by dashed lines, maintains PTX3 localization in NETs. PTX3, pentraxin 3; DEFA1, neutrophil defensin 1; MYH9, Myosn-9; KRT10, Cytokeratin-10; AZU1, azurocidin 1; MPO: myeloperoxidase.