Research Paper Volume 15, Issue 10 pp 4334—4362

Plasma exosome proteomics reveals the pathogenesis mechanism of post-stroke cognitive impairment

Baoyun Qi1, , Lingbo Kong1, , Xinxing Lai3,4, , Linshuang Wang2, , Fei Liu5, , Weiwei Ji6, , Dongfeng Wei2, ,

  • 1 The Eastern Area, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 101121, China
  • 2 Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 3 Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
  • 4 Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing 100013, China
  • 5 Department of Neurology, Hohhot Mongolian Medicine of Traditional Chinese Medicine Hospital, Hohhot 010020, China
  • 6 Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

Received: October 12, 2022       Accepted: May 1, 2023       Published: May 20, 2023      

https://doi.org/10.18632/aging.204738
How to Cite

Copyright: © 2023 Qi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Exploration and utilization of exosome biomarkers and their related functions provide the possibility for the diagnosis and treatment of post-stroke cognitive impairment (PSCI). To identify the new diagnostic and prognostic biomarkers of plasma exosome were uzed label-free quantitative proteomics and biological information analysis in PSCI patients. Behavioral assessments were performed, including the Mini-Mental Status Examination (MMSE), the Montreal Cognitive Assessment (MoCA), the Barthel index, the Morse Fall Seale (MFS) between control group (n = 10) and PSCI group (n = 10). The blood samples were collected to analyse the biomarker and differentially expressed proteins of plasma exosome using label-free quantitative proteomics and biological information. The exosomes marker proteins were determined by Western blot. The exosome morphology was observed by transmission electron microscopy. The scores of MMSE and MoCA were significantly decreased in the PSCI group. The PT% and high-density lipoprotein decreased and the INR ratio increased in PSCI group. The mean size of exosome was approximately 71.6 nm and the concentration was approximately 6.8E+7 particles/mL. Exosome proteomics identified 259 differentially expressed proteins. The mechanisms of cognitive impairment are related to regulate the degradation of ubiquitinated proteins, calcium dependent protein binding, cell adhesive protein binding, formation of fibrin clot, lipid metabolism and ATP-dependent degradation of ubiquitinated proteins in plasma exosome of PSCI patients. Plasma levels of YWHAZ and BAIAP2 were significantly increased while that of IGHD, ABCB6 and HSPD1 were significantly decreased in PSCI patients. These proteins might be target-related proteins and provide global insights into pathogenesis mechanisms of PSCI at plasma exosome proteins level.

Introduction

Ischemic stroke is induced by cerebral artery occlusion, which causes damage to endothelial cells, vascular smooth muscle, glial cells, neurons and related neurovascular units, and ultimately leads to brain tissue death and focal neurological damage [1, 2]. Post-stroke cognitive impairment (PSCI) is a type of vascular cognitive impairment that manifests throughout 6 months following a stroke. Patients suffering from stroke lesions taking place in various regions of the brain that are not traditionally cognition-included may also result in development of PSCI. The plasma exosome biomarkers of PSCI have been emphasized. Plasma exosome biomarkers exploration and utilization and their associated functions allowed PSCI diagnosis and treatment possible.

Exosomes are small membrane vesicles existed in extracellular fluid and contain important genetic materials such as DNA, RNA, protein, lipid and miRNA [3]. Exosomes exist in extracellular fluid and contain important genetic materials such as DNA, RNA, protein, lipid and miRNA [3]. Exosomes can directly or indirectly act on target cells through the release of membrane contents or signal molecules for intercellular information transmission. In different pathological stages of ischemic stroke, exosomes released by different types of nerve cells contain specific signal molecules. Exosome miRNA-122-5p and miR-300-3p were biomarkers for the diagnosis of hyperacute (less than 6 h), subacute (8–14 d) and convalescent (greater than 14 d) ischemic cerebral infarction [4]. Exosomes secreted by circulating EPCs can transfer their inclusion to recipient endothelial cells, which contain miRNA related to PI3K/Akt signaling pathway and miRNA related to angiogenesis, such as miR-126 and miR-296. In the brain, exosomes secreted by cultured glioma cells provide angiogenic proteins, mRNAs and miRNAs to cerebrovascular endothelial cells and induce angiogenesis [5]. Neurons and glial cells interact with exosomes released by them to transfer biomolecules, regulate axonal growth and myelin sheath formation, and participate in brain nerve remodeling. Exosomes derived from multipluripotent mesenchymal stromal cells can effectively promote vascular and nerve regeneration, reduce inflammatory response and improve traumatic brain injury [6, 7]. Proteomics is an indispensable omics science to elucidate the proteome diversity. Faced with the limitations of diagnosis and treatment of PSCI, the task of finding effective methods to diagnose, predict and prevent PSCI has become more important.

In order to find a new prognostic and diagnostic plasma exosome biomarkers utilizing label-free quantitative proteomics and analysis of biological information in individuals with PSCI. In this study, a variety of psychological evaluations, which include the Mini-Mental Status Examination (MMSE), the Montreal Cognitive Assessment (MoCA), the Barthel index and blood biomarker detection were performed. The plasma exosome from control participants and PSCI patients were collected and analyzed by label-free quantitative proteomics. The differentially expressed proteins and its biological information analysis were conducted to establish global prospective on the PSCI pathogenesis mechanisms at proteins level.

Methods

Study design

The Chinese Clinical Trial Registry (ChiCTR) has registered and recorded this clinical trial (registration number: ChiCTR1900023739, registration date: June 10, 2019), and the research protocol was approved by the Ethics Committee of Dongzhimen Hospital, a department of Beijing University of Chinese Medicine (approval number: DZMEC-KY-2019-04). Patients suffering from acute ischemic stroke were registered from Dongzhimen Hospital (eastern area) associated with Beijing University of Chinese Medicine between June 9, 2019 to December, 2019. The present investigation was conducted based on the ethical principles outlined in the Helsinki Declaration of 1975 (and as modified in 2013). This study contains the control group and PSCI group.

Participants

This investigation included 20 participants who signed an informed consent form. There are 10 participants in the PSCI group and control group, respectively. PSCI patients’ inclusion criteria involved the following: (1) Age ≥35 years and ≤70 years; (2) Every patient has either an MRI or CT scan to validate the acute ischemic stroke; (3) Cognitive evaluation was done by MMSE within the first 7 days after the development of acute ischemic stroke. Patients having MMSE score ≤26 were determined as the PSCI group. (4) Cognitive impairment occurred after stroke [8, 9]. The exclusion criteria comprise the subsequent aspects : (1) Symptoms exhibited a range of complex to severe primary disorders of the heart, kidney, liver and hematopoietic system; (2) Consciousness acute disturbance; (3) Dementia and brain, different causes are because of mental or physiological diseases; (4) With severe vision, hearing or even speech impairment conflicts with rehabilitation; and (5) Furthermore the onset of cognitive impairment, there were no additional focal indications of cerebrovascular disease.

Behavioral assessment

The informed consent forms were signed by all participants and a variety of behavioral evaluations were conducted, such as the MMSE, the MoCA, the Barthel index, the Morse Fall Seale (MFS), and The Braden Scale is a scale utilised for the prediction of pressure sore risk, as well as the Padua Prediction Score. The patients received antiplatelet therapy (aspirin, 100 mg, QD) before assessments.

Blood biomarker detection

After a fasting period of 12-h, blood samples were obtained in the morning. Two milliliters of whole blood were drawn from peripheral vein of each participant and kept in a polypropylene tube including EDTA. The Dongzhimen Hospital affiliated with Beijing University of Chinese Medicine was requested to furnish the blood specimens. Following that, the fibrinogen, red blood cell specific volume (HCT), total cholesterol (CHO), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and other different markers were measured using whole blood samples.

The isolation and determination of plasma exosomes characteristics

The isolation procedure of exosomes

The isolation of plasma exosomes using TiO2 with a slight modification [10]. Remove the plasma sample from storage and place it on ice. Centrifuge the plasma sample at 2000 × g at room temperature for 20 min to extract cells and debris. Transfer 100 μL plasma to a new tube and processed using 0.2 mm pore size syringe filters (PALL Life Sciences, USA) for extracting apoptotic bodies and the large microvesicles. Following that, 5 mg of TiO2 microspheres were combined with the plasma sample (GL Science Inc, Japan) and mixed the sample thoroughly by vortexing at 4°C for a period of 5 min. The mixture underwent centrifugation at a force of 20,000 × g for 3 min at a temperature of 4°C, subsequently, the supernatant was extracted. The exosomes on the TiO2 microspheres were hydrated with PBS three times to eliminate unspecific contaminants. After washing with PBS, exosomes were lysed and digested directly with trypsin (Promega, Madison, WI) from the surface of microspheres at 37°C in 50 mM ammonium bicarbonate for 16 h. A new tube was used to transfer the supernatant and the TiO2 microspheres were hydrated twice with 100 μL of 0.1% formic acid after centrifugation at 12,000 g at 25°C for 5 min. The washing fraction was extracted and pooled with the supernatant. NanoDrop (Thermo Fisher, USA) was utilized to measure the concentration of peptide at an absorbance of 280 nm.

Western blot analysis of exosomes marker proteins

Detect the quality of plasma protein in 0.5 mL fraction sample. The fraction of vesicles with the least plasma protein content was selected for subsequent analysis. The concentration of protein samples was measured utilizing the BCA method. 12% SDS-PAGE was used for separating 10 μg of the protein, then the protein transferred to a 0.45 μm PVDF membrane, and inhibited utilizing a blocking solution including 5% bovine serum albumin for a period of 1 h at room temperature. Exosomal marker protein antibodies were add and incubate at a temperature of 4°C overnight, containing anti-CD63 rabbit polyclonal antibody (1:600) (Cat No. 25682-1-AP, Proteintech Group, Chicago, IL, USA), anti-TSG101 rabbit polyclonal antibody (1:2000) (Cat No. 28283-1-AP, Proteintech Group, USA), anti-CD81 mouse polyclonal antibody (1:3500) (Cat No. 66866-1-Ig, Proteintech Group, USA), anti-CD9 mouse polyclonal antibody (1:3000) (Cat No. 20597-1-AP, Proteintech Group, USA) and HRP-conjugated secondary antibodies (1:6000) (Cat No. SA00001-2; Proteintech Group, USA). The western blotting was examined utilizing an eECL Western blot kit (Cat No. CW0049 M, CWBIO, Jiangsu, China). After being eluted with 1 × TBST buffer, secondary antibody was supplemented and incubated at room temperature for a period of 90 min. After 3 hydrations by TBST, the color was generated utilizing SuperSignal West Femto Substrate Trial Kit (34094, Pierce, Rockford, IL, USA).

Transmission electron microscopy (TEM)

The exosome morphology was observed utilizing TEM. Exosome sample drops have the ability to adsorb for 5 min on formvar-coated EM grids, and were stained negatively utilizing 2% (w/v) phosphotungstic acid for 1 min. At 80 kV of acceleration voltage, transmission electron microscope (H-7650; Hitachi, Ltd., Tokyo, Japan) was utilized to perform TEM analysis.

Nanoparticle tracking analyzer (NTA) and Dynamic light scattering (DLS) analysis

The particle size and concentration analysis of model exosomes were performed on ZetaView Nanoparticle Tracker (Particle Metrix, Meerbusch, Germany). Calibrate the instrument with polystyrene particles with approximately 100 nm of a particle size, Dilute the model exosomes to approximately 1 × 108 particles/mL, and put them into the instrument for analysis. Each group of samples is automatically scanned 11 times to remove abnormal data. The data was recorded and analyzed by ZetaView 8.03.04.01 software.

Label-free quantitative proteomics

MALDI-TOF-MS/MS and database searching were utilized for the identification of proteins. An online liquid chromatography-tandem mass spectrometry (LC-MS/MS) setup including an EasynanoLC system and a Q-Exactive mass spectrometer (Thermo Scientific, Germany) installed with a nanoelectrospray ion source was utilized for all LC-MS/MS investigations.

(1) Mobile phase A included 0.1% FA, 2% acetonitrile dissolved within water, and mobile phase B included 0.1% FA, 98% acetonitrile in water. The flow rate has been measured to be 300 nL/min.

(2) At 2 kV, the source was operated. In order to perform a full MS survey scan, AGC target was 3e6, scan range was from m/z 300 to 1400 and the result of resolution was 70,000. The 50 highest intense peaks with charge state 2 and above were chosen in order to sequence and fragmented in the ion trap by HCD with normalized collision energy of 27%. Exclude isotope item was enabled and dynamic exclusion time was adjusted as 18 s.

(3) MaxQuant software was utilized to search the Raw MS files against UniProt database. (Version 1.5.2.8). The fixed modification was C (carbamidomethyl) and the variable modification was M (oxidation) and protein N-term (acetyl). The tolerance for the first search peptide was 20 ppm and the tolerance for the main search peptide was 6 ppm. The MS/MS tolerance result was 0.02Da. The PSM and protein false discovery level result was 1%. The employed among the runs and minimum score required for modified peptides was 40.

Biological information analysis

Protein-protein interaction (PPI) networks analysis

To gain a deeper comprehension from the perspective of the biological context of differentially expressed proteins, the protein interaction analysis was conducted by utilizing the free web-based search tool STRING10.5. The STRING database is a fundamental data resource within the ELIXIR’s core, containing both identified and anticipated protein interactions. These data will be collected and integrated by the STRING database, with consolidating identified and anticipated protein-protein correlation data for the organism’s large number [11]. STRING was needed to incorporate additional predicted functional partners for the purpose of improving the PPI networks formation. The protein IDs list that was differentially expressed was entered into the STRING database (https://string-db.org) to determine identified and anticipated protein functional correlation networks.

GO analysis

For exhibiting the differentially expressed proteins presence, to categorize the proteins in accordance with their biological process, protein classification, cellular composition, and pathway, GO enrichment analysis was conducted. In order to find out how these experimentally discovered proteins are distributed, GO enrichment annotation tools were used to examine each protein with higher speed and to comprehend the relationship between protein and biological function in its entirety. GO function enrichment analysis of protein describes this distribution comparison with the overall protein distribution, confirming which biological processes or molecular functions were significantly enriched with experimentally identified proteins, many regulatory, metabolic, and signal transduction pathways are resistant within the organism, and these pathways frequently form various pathways. Pathway analysis permits the identification of the highest significant biochemical-metabolic and signal transduction pathways in which the proteins were contained.

ELISA quantification analysis

To detect the levels of IGHD, ABCB6, HSPD1, YWHAZ and BAIAP2, enzyme-linked immunosorbent assay (ELISA) kits were utilized to determine the plasma. According to the manufacturer guidelines, plasma samples were thawed and submitted to ELISA quantitative analysis using human IgD ELISA kit (Abcam, ab157708, Cambridge, UK), human ATP Binding Cassette Subfamily B Member 6, Mitochondrial (ABCB6) ELISA Kit (Abbexa, abx385541, Cambridge, UK), human Heat Shock Protein 60, HSP-60 ELISA Kit (CSB-E08560h, Cusabio, China), human 14-3-3 protein zeta/delta (YWHAZ) ELISA kit (CSB-EL026293HU, Cusabio, China), human Brain-Specific Angiogenesis Inhibitor 1-Associated Protein 2 (BAIAP2) ELISA Kit (Abbexa, abx386001, Cambridge, UK). ELISA microplates were read using MK3 microplate reader (Thermo, Helsinki, Finland).

Statistical analysis

Each value was reported as the mean ± standard deviation (SD). Statistical analysis was conducted by SPSS20.0. The Demographic data and MMSE, MoCA, blood marker were analyzed with independent-samples t-test between control group and PSCI group. The Chi-square statistical test was utilized to investigate potential differences in gender variation between two distinct groups. P-values < 0.05 were reported as statistically significant.

Results

Demographics, behavioral assessment and detection of blood biomarker results

There were no variations in age (P = 0.182), gender (P = 0.653) or education (P = 0.072) among the PSCI and the control groups. The MMSE and MoCA scores were significantly reduced throughout the PSCI groups (P < 0.01) (Table 1). According to the control group, the PT% and high-density lipoprotein reduced (P < 0.05) and the INR ratio reduced (P < 0.05) in the PSCI group (Table 2).

Table 1. Demographic information and behavioral scale assessment.

Control group (n = 10)PSCI group (n = 10)P-value
Age (y)55.80 ± 6.9260.30 ± 9.170.231
Gender (M/F)6/45/50.653
Education (y)10.30 ± 2.168.30 ± 2.500.072
MMSE29.80 ± 0.4220.30 ± 3.83<0.01
MoCA29.40 ± 0.7015.70 ± 5.03<0.01
Barthel70.00 ± 15.28
Morse Fall Seale46.50 ± 10.81
Braden Scale20.50 ± 2.32
Padua Prediction Score2.70 ± 2.06
Abbreviations: MMSE: Mini-Mental Status Examination; MoCA: Montreal Cognitive Assessment; Barthel: The Barthel index and data are presented as mean ± SD or number of patients.

Table 2. The blood marker detection results.

Control group (n = 10)PSCI group (n = 10)P-value
Blood coagulation function
PT%102.13 ± 9.6791.90 ± 7.580.027*
INR ratio1.00 ± 0.051.06 ± 0.060.045*
Activated partial thromboplastin time30.14 ± 3.9931.33 ± 5.190.619
Fibrinogen content2.61 ± 0.262.80 ± 0.620.470
Thrombin time15.37 ± 1.1614.86 ± 1.330.424
D-dimer62.43 ± 27.65118.6 ± 73.420.075
Blood biochemistry
Serum creatinine61.40 ± 14.8960.60 ± 21.260.923
Glucose6.54 ± 2.358.87 ± 3.680.109
Albumin39.07 ± 4.5738.44 ± 4.520.760
Calcium2.29 ± 0.092.34 ± 0.130.368
Total bilirubin13.69 ± 3.5519.93 ± 8.570.047*
Direct bilirubin3.23 ± 1.104.54 ± 2.470.143
Indirect bilirubin10.46 ± 3.3215.39 ± 6.430.045*
Alanine aminotransferase17.30 ± 6.4524.90 ± 13.160.118
Aspartate aminotransferase19.40 ± 4.2734.40 ± 35.080.196
Lactate dehydrogenase152.67 ± 29.82210.90 ± 47.470.006**
Hydroxybutyric acid dehydrogenase114.33 ± 22.87154.50 ± 40.210.017*
γ-glutamyltransferase17.70 ± 6.6329.50 ± 18.850.078
Alkaline phosphatase60.89 ± 8.6269.70 ± 20.310.245
Adenylate dehydrogenase10.00 ± 2.8710.70 ± 5.440.735
Serum lipid
Total cholesterol4.38 ± 0.564.18 ± 1.460.691
Apolipoprotein A11.17 ± 0.111.10 ± 0.170.401
Apolipoprotein B0.83 ± 0.230.74 ± 0.260.501
High-density lipoprotein0.98 ± 0.150.84 ± 0.130.045*
Low density lipoprotein2.62 ± 0.552.42 ± 1.250.662
Lipoprotein (a)182.00 ± 115.42267.78 ± 176.090.285
Homocysteine13.63 ± 3.7515.78 ± 7.620.512
Values are mean ± SD. *P < 0.05, **P < 0.01.

Isolation and characterization results of plasma exosomes

The content detection results of plasma protein in 0.5 mL fraction sample were shown in Figure 1A. The content of plasma protein in fractions 6–10 is relatively lower, and the purity of exosomes is relatively high. Therefore, the 5 vesicle fractions 6–10 were selected for subsequent analysis. Western blot analysis was utilized to detect the exosomal protein markers in all the plasma exosome samples. The exosomal markers of protein expression levels (TSG101, CD9, CD63, and CD81) were shown in Figure 1B. The exosome morphology and size were visualized by TEM (Figure 1C). TEM observation revealed highly homogenous exosome combination with a regular round morphology having a diameter range of 30–200 nm. A representative laser scattering microscopy image of isolated exosomes is shown in Figure 1D. NTA was exploited to measure the size distribution of particles and view the isolated vesicle samples (Figure 1E, 1F). The samples fluorescent detection examined in the scatter mode. The size is calculated by the diffusion behavior. The study determined that the mean size of the particles was 71.6 nm, while the concentration was estimated to be around 6.8E+7 particles/mL.

Various characterizations of plasma exosomes. (A) The content of plasma proteins in 0.5 mL fraction sample. (B) Western blot analysis of the typical exosomal proteins, TSG 101, CD9, CD63 and CD81. (C) Transmission electron microscopy (TEM) image indicating exosome morphology. (D) A representative laser scattering microscopy image of isolated exosomes. (E) The Nanoparticle tracking analysis (NTA) result of the particle size distribution for isolated exosomes. (F) The size distribution of volume consistent with the size range of exosomes.

Figure 1. Various characterizations of plasma exosomes. (A) The content of plasma proteins in 0.5 mL fraction sample. (B) Western blot analysis of the typical exosomal proteins, TSG 101, CD9, CD63 and CD81. (C) Transmission electron microscopy (TEM) image indicating exosome morphology. (D) A representative laser scattering microscopy image of isolated exosomes. (E) The Nanoparticle tracking analysis (NTA) result of the particle size distribution for isolated exosomes. (F) The size distribution of volume consistent with the size range of exosomes.

Differentially expressed exosome proteins determination among the control and PSCI groups

In total, 259 differentially expressed exosome proteins have been measured and determined between the control group and PSCI group by Label-free quantitative proteomics, of which 131 proteins demonstrated up-regulated expression and 128 proteins showed down-regulated expression. The differentially expressed proteins with PSCI/control ratios that are high or less than 1.2-fold change having a set P-value < 0.05 were shown to be significantly changed. The differentially expressed proteins volcano plot was presented in Figure 2. The heat map of the whole differential expressed proteins were presented in Figure 3. The identification results of main 30 up-regulated proteins were presented in Table 3 and the other 101 up-regulated proteins were shown in Supplementary Table 1. The identification results of main 30 down-regulated proteins were shown in Table 4 and the other 98 down-regulated proteins were shown in Supplementary Table 2. The results of these proteins are summarized in detail. According to Table 5, the biological process category of 30 up-regulated proteins and molecular function were conducted according to biological function. The biological process category of 27 down-regulated proteins and molecular function were shown in Table 6.

The volcano plot of differentially expressed proteins. The red points represented up-regulated proteins and green points represented down-regulated proteins between the PSCI and control groups.

Figure 2. The volcano plot of differentially expressed proteins. The red points represented up-regulated proteins and green points represented down-regulated proteins between the PSCI and control groups.

Hierarchical clustering of plasma exosome proteomes. The heat map represented the Z scores of all proteins quantified in Label-free quantitative proteomics.

Figure 3. Hierarchical clustering of plasma exosome proteomes. The heat map represented the Z scores of all proteins quantified in Label-free quantitative proteomics.

Table 3. The identification results of main 30 up-regulated proteins between the PSCI group and control group.

No.Accession No.Protein nameSymbolExp. Mr (KDa)Protein scoreFold change (PSCI/Control)P-value
1P6310414-3-3 protein zeta/deltaYWHAZ27.75177.812.13<0.001
2P3194714-3-3 protein sigmaSFN27.778.193.04<0.01
3Q9UQB8Brain-specific angiogenesis inhibitor 1-associated protein 2BAIAP260.8743.474.95<0.01
4P78417Glutathione S-transferase omega-1GSTO125.9027.573.00<0.01
5P61421V-type proton ATPase subunit d 1ATP6V0D140.338.422.91<0.01
6P34932Heat shock 70 kDa protein 4HSPA494.337.377.05<0.01
7P40197Platelet glycoprotein VGP560.9649.415.19<0.01
8P37235Hippocalcin-like protein 1HPCAL122.315.465.82
9Q9Y6B6GTP-binding protein SAR1bSAR1B22.415.082.28<0.01
10P54920Alpha-soluble NSF attachment proteinNAPA17.2633.2334.53<0.01
11P13746Class I histocompatibility antigen, A-11 alpha chainHLA-A15.4440.9433.79<0.05
12P51575P2X purinoceptor 1P2RX113.3344.9815.11<0.01
13O76074cGMP-specific 3,5-cyclic phosphodiesterasePDE5A17.6099.9811.74<0.01
14Q13642Four and a half LIM domains protein 1FHL116.0036.268.72<0.01
15Q9BQE5Apolipoprotein L2APOL22.967637.0925.85<0.01
16P08648Integrin alpha-5ITGA510.36114.545.73<0.01
17O94804Serine/threonine-protein kinase 10STK1011.78112.133.86<0.01
18P11169Solute carrier family 2, facilitated glucose transporter member 3SLC2A376.4153.923.65<0.01
19Q15762CD226 antigenCD22623.7538.613.45<0.01
20Q93084Sarcoplasmic/endoplasmic reticulum calcium ATPase 3ATP2A317.16113.983.04<0.01
21O00194Ras-related protein Rab-27BRAB27B21.1924.612.69<0.01
22Q9NP79Vacuolar protein sorting- associated protein VTA1 homologVTA128.8933.882.63<0.01
23P14770Platelet glycoprotein IXGP971.3719.052.61<0.01
24Q9UN37Vacuolar protein sorting- associated protein 4AVPS4A11.5648.8972.37<0.001
25Q08830Fibrinogen-like protein 1FGL12.925336.3799.61<0.001
26P02763Alpha-1-acid glycoprotein 1ORM113.4923.512.12<0.01
27P02749Beta-2-glycoprotein 1APOH233.6738.302.11<0.01
28P55058Phospholipid transfer proteinPLTP20.0854.742.10<0.01
29P30273High affinity immunoglobulin epsilon receptor subunit gammaFCER1G10.829.672.04<0.01
30P01624Ig kappa chain V-III region POMIGKV3-1517.6111.922.03<0.01
In the title line, Exp. Mr represented the experimental molecular weight of the proteins.

Table 4. The identification results of main 30 down-regulated proteins between the PSCI group and control group.

No.Accession No.Target proteinSymbolExp. Mr (KDa)Protein scoreFold change (PSCI/Control)P-value
1P06276CholinesteraseBCHE12.4168.420.41<0.05
2P01880Ig delta chain C regionIGHD42.2517.460.02<0.01
3P04438Ig heavy chain V-II region SESS16.324.150.18<0.01
4P01771Ig heavy chain V-III region HIL13.4439.480.27<0.01
5P01778Ig heavy chain V-III region ZAP12.346.030.10<0.01
6P07357Complement component C8 alpha chainC8A65.1622.610.14<0.01
7P20618Proteasome subunit beta type-1PSMB126.4912.650.11<0.01
8Q9P289Serine/threonine-protein kinase 26STK2646.532.660.13<0.01
9Q99536Synaptic vesicle membrane protein VAT-1 homologVAT18.190941.920.48<0.01
10P03952Plasma kallikreinKLKB171.377.300.20<0.01
11P53396ATP-citrate synthaseACLY120.8421.570.41<0.01
12Q9NP58ATP-binding cassette sub-family B member 6, mitochondrialABCB693.884.740.24<0.01
13P62330ADP-ribosylation factor 6ARF620.0811.400.26<0.05
14P1080960 kDa heat shock protein, mitochondrialHSPD161.0588.420.47<0.01
15O15162Phospholipid scramblase 1PLSCR135.0510.230.11<0.01
16Q99828Calcium and integrin-binding protein 1CIB121.708.130.11<0.01
17Q5D862Filaggrin-2FLG2248.0781.400.12<0.01
18Q8WXI7Mucin-16MUC162284.308.380.13<0.01
19P56199Integrin alpha-1CFHR1130.854.110.14<0.01
20P25311Zinc-alpha-2-glycoproteinAZGP134.268.180.15<0.01
21P02545Prelamin-A/CLMNA74.1426.390.01<0.01
22P30486Class I histocompatibility antigen, B-48 alpha chainHLA-B40.3629.550.03<0.01
23Q9NP59Solute carrier family 40-member 1SLC40A162.549.510.10<0.01
24P13164Interferon-induced transmembrane protein 1IFITM113.966.850.10<0.01
25O14818Proteasome subunit alpha type-7PSMA727.8917.470.17<0.01
26P22234Multifunctional protein ADE2PAICS47.0810.280.17<0.01
27P30153Serine/threonine-protein phosphatase 2A 65 kDa regulatory subunit A alpha isoformPPP2R1A65.3110.920.18<0.01
28Q9HCM2Plexin-A4PLXNA4212.455.190.18<0.05
29Q8NG06E3 ubiquitin-protein ligase TRIM58TRIM5854.7729.550.18<0.05
30Q9BS26Endoplasmic reticulum resident protein 44ERP4446.973.450.19<0.01
In the title line, Exp. Mr represented the experimental molecular weight of the proteins.

Table 5. The molecular function and biological process category of main 30 up-regulated expressed proteins in PSCI.

No.Target proteinMolecular functionBiological process
114-3-3 protein zeta/deltaCadherin binding; ion channel binding; protein domain specific binding; protein kinase bindingEstablishment of Golgi localization; protein insertion into mitochondrial membrane involved in apoptotic signaling pathway; synaptic target recognition
214-3-3 protein sigmaCadherin and phosphoprotein binding; protein kinase C inhibitor activityIntrinsic apoptotic signaling pathway; regulation of protein insertion into mitochondrial membrane involved in apoptotic signaling pathway; release of cytochrome c from mitochondria
3Brain-specific angiogenesis inhibitor 1-associated protein 2Cadherin binding involved in cell-cell adhesion; identical protein binding; proline-rich region binding; scaffold protein binding; transcription cofactor bindingAxonogenesis; cellular response to L-glutamate; modification of synaptic structure, modulating synaptic transmission; regulation of synaptic plasticity; vascular endothelial growth factor receptor signaling pathway
4Glutathione S-transferase omega-1Glutathione dehydrogenase (ascorbate) activity; glutathione transferase activity; methylarsonate reductase activity; oxidoreductase activityL-ascorbic acid metabolic process; cellular response to arsenic-containing substance; glutathione derivative biosynthetic process; interleukin-12 mediated signaling pathway
5V-type proton ATPase subunit d 1Proton-exporting ATPase activity, phosphorylative mechanism proton-transporting ATPase activityIRE1-mediated unfolded protein response; cellular iron ion homeostasis; cellular response to increased oxygen levels; phagosome acidification; proton transmembrane transport
6Heat shock 70 kDa protein 4ATP bindingChaperone-mediated protein complex assembly; protein insertion into mitochondrial outer membrane; response to unfolded protein
7Platelet glycoprotein VMediates vWF-dependent platelet adhesion to blood vesselsBlood coagulation, intrinsic pathway; cell adhesion; platelet activation
8Hippocalcin-like protein 1Calcium ion binding
9GTP-binding protein SAR1bGTP binding; GTPase activity; metal ion bindingAntigen processing and presentation of exogenous peptide antigen via MHC class I and II; endoplasmic reticulum to Golgi vesicle-mediated transport; intracellular protein transport;
10Alpha-soluble NSF attachment proteinProtein containing complex binding; soluble NSF attachment protein activity; syntaxin bindingEndoplasmic reticulum to Golgi vesicle mediated transport; synaptic vesicle priming; synaptic transmission, glutamatergic
11P2X purinoceptor 1ATP binding; ATP-gated ion channel activity; extracellularly ATP-gated cation channel activity; purinergic nucleotide receptor activity; zinc ion bindingApoptotic process; calcium ion transport; neuronal action potential; Regulation of presynaptic cytosolic calcium ion concentration; synaptic transmission
12cGMP-specific 3,5-cyclic phosphodiesterase3′,5′-cyclic-GMP phosphodiesterase activity; cGMP binding; metal ion bindingcGMP catabolic process; MAP kinase activity; regulation of nitric oxide mediated signal transduction
13Four and a half LIM domains protein 1Ion channel binding; metal ion bindingCell differentiation; potassium ion transport; membrane depolarization; regulation of potassium ion transmembrane transporter activity
14Apolipoprotein L2High density lipoprotein particle binding; lipid binding; signaling receptor bindingCholesterol metabolic process; lipid metabolic process; lipid transport; lipoprotein metabolic process
15Tetraspanin-32Cytoskeleton organizationCell-cell signaling; defense response to protozoan; integrin mediated signaling pathway; platelet aggregation;
16Integrin alpha-5Epidermal growth factor receptor binding; metal ion binding; platelet derived growth factor receptor binding; vascular endothelial growth factor receptor 2 bindingAngiogenesis; cell adhesion; cell substrate junction assembly; endodermal cell differentiation; cell migration; peptidyl tyrosine phosphorylation;
17Serine/threonine-protein kinase 10ATP binding; identical protein binding; protein homodimerization activity; protein serine/threonine kinase activityActivation of protein kinase activity; lymphocyte aggregation and migration; neutrophil degranulation; protein autophosphorylation;
18Solute carrier family 2, facilitated glucose transporter member 3Glucose binding; glucose transmembrane transporter activityL-ascorbic acid metabolic process; carbohydrate metabolic process; glucose transmembrane transport; neutrophil degranulation
19CD226 antigenCell adhesion molecule binding; integrin binding; protein kinase bindingCell recognition; cytokine production; T cell receptor signaling pathway; immunoglobulin mediated immune response; interferon-gamma production
20Sarcoplasmic/endoplasmic reticulum calcium ATPase 3ATP binding; calcium transmembrane transporter activity; metal ion binding; proton exporting ATPase activityCalcium ion transmembrane transport; calcium ion transport; cellular calcium ion homeostasis; ion transmembrane transport
21Ras-related protein Rab-27BGDP binding; GTP binding; GTPase activity; myosin V binding; protein domain specific bindingRab protein signal transduction; anterograde axonal protein transport; intracellular protein transport; multivesicular body sorting pathway; synaptic vesicle endocytosis
22Vacuolar protein sorting-associated protein VTA1 homologProtein C-terminus bindingESCRT III complex disassembly; endosomal transport; macroautophagy; multivesicular body assembly; multivesicular body sorting pathway
23Platelet glycoprotein IXPlatelet activation apparently involves disruption of the macromolecular complex of GP-Ib with the platelet glycoprotein IXBlood coagulation, intrinsic pathway; cell adhesion; platelet activation
24Vacuolar protein sorting-associated protein 4AATP binding; ATPase activity; protein C-terminus binding; protein domain specific binding; protein containing complex bindingUbiquitin-dependent protein catabolic process via the multivesicular body sorting pathway; exosomal secretion; multivesicular body assembly
25Fibrinogen-like protein 1Inhibiting inflammatory immune responses and metabolic functionAdaptive immune response
26Alpha-1-acid glycoprotein 1Functions as transport protein in the blood streamInflammatory response; neutrophil degranulation; platelet degranulation; interleukin-1 beta secretion
27Beta-2-glycoprotein 1Heparin binding; lipid binding; lipoprotein lipase activator activity; phospholipid bindingAngiogenesis; plasminogen activation; platelet degranulation; blood coagulation; regulation of fibrinolysis; triglyceride metabolic process
28Phospholipid transfer proteinCeramide binding and transfer activity; lipid transporter activity; phosphatidic acid binding and transfer activity;Ceramide transport; high-density lipoprotein particle remodeling; lipid metabolic process; phospholipid transport; cholesterol efflux; vitamin E biosynthetic process
29High affinity immunoglobulin epsilon receptor subunit gammaIgE binding, IgE receptor activity, IgG binding, protein homodimerization activityImmunoglobulin mediated immune response, innate immune response, neutrophil chemotaxis, T cell differentiation
30Ig kappa chain V-III region POMAntigen bindingFc-gamma receptor signaling pathway involved in phagocytosis; complement activation, classical pathway; immune response; leukocyte migration;

Table 6. The molecular function and biological process category of main 27 down-regulated proteins in PSCI.

No.Target proteinMolecular functionBiological process
1CholinesteraseAcetylcholinesterase activity; amyloid-beta binding; choline binding; cholinesterase activity; enzyme bindingCholine metabolic process; cocaine metabolic process; neuroblast differentiation; response to alkaloid and folic acid; response to glucocorticoid
2Ig delta chain C regionAntigen binding; immunoglobulin receptor bindingB cell receptor signaling pathway; complement activation, classical pathway; innate immune response; positive regulation of interleukin-1 secretion
3Complement component C8 alpha chainComplement binding; protein-containing complex bindingComplement activation, alternative or classical pathway; immune response; regulation of complement activation
4Proteasome subunit beta type-1Endopeptidase activity; threonine type endopeptidase activityProteasomal ubiquitin dependent protein catabolic process; Wnt signaling pathway; post translational protein modification; protein polyubiquitination;
5Serine/threonine-protein kinase 26ATP binding; magnesium ion binding; protein homodimerization activity; protein kinase activity; protein serine/threonine kinase activityActivation of protein kinase activity; neuron projection morphogenesis; protein phosphorylation; signal transduction by protein phosphorylation
6Angiopoietin-like protein 8Hormone activitycEll maturation; cellular lipid metabolic process; lipid metabolic process; lipoprotein lipase activity;
7Plasma kallikreinSerine-type endopeptidase activityFactor XII activation; blood coagulation, intrinsic pathway; extracellular matrix disassembly; fibrinolysis; plasminogen activation
8ATP-citrate synthaseATP binding; ATP citrate synthase activity; cofactor binding; metal ion bindingAcetyl-CoA and cholesterol biosynthetic process; citrate metabolic process; coenzyme A metabolic process
9ATP-binding cassette sub-family B member 6, mitochondrialATP binding; ATPase activity; ATPase-coupled heme transmembrane transporter activity; heme bindingCellular iron ion homeostasis; heme transport; transmembrane transport
10ADP-ribosylation factor 6GTP binding; GTPase activity; protein N-terminus binding; thioesterase bindingIntracellular protein transport; maintenance of postsynaptic density structure; protein localization to endosome; synaptic vesicle endocytosis
1160 kDa heat shock protein, mitochondrialATP binding; ATPase activity; apolipoprotein binding; chaperone bindingChaperone-mediated protein complex assembly; B cell activation and cytokine production; protein import into mitochondrial intermembrane space
12Phospholipid scramblase 1CD4 receptor binding; DNA binding transcription activator activity, calcium ion binding; phospholipid scramblase activityApoptotic process; phosphatidylserine biosynthetic process; plasma membrane phospholipid scrambling
13Calcium and integrin-binding protein 1Ras GTPase binding; calcium ion binding; calcium dependent protein kinase inhibitor activity; protein C-terminus binding; protein kinase bindingAngiogenesis; apoptotic process; cell adhesion; cellular response to DNA damage stimulus and growth factor stimulus; cytoplasmic microtubule organization
14Filaggrin-2Calcium ion binding; structural constituent of epidermis; transition metal ion bindingCell adhesion; epidermis morphogenesis; neutrophil degranulation
15Mucin-16Thought to provide a protective, lubricating barrier against particles and infectious agents at mucosal surfacesO-glycan processing; cell adhesion; stimulatory C-type lectin receptor signaling pathway
16Integrin alpha-1Collagen binding; collagen binding involved in cell-matrix adhesion; metal ion binding; protein phosphatase binding; signaling receptor bindingActivation of MAPK activity; neuron projection morphogenesis; neutrophil chemotaxis; neuron apoptotic process; phosphoprotein phosphatase activity; vasodilation
17Zinc-alpha-2-glycoproteinProtein transmembrane transporter activity; ribonuclease activityCell adhesion; detection of chemical stimulus involved in sensory perception of bitter taste; retina homeostasis; transmembrane transport
18Prelamin-A/CIdentical protein binding; structural molecule activityProtein localization to nucleus and protein stability; cellular response to hypoxia; nuclear envelope organization; telomere maintenance
19class I histocompatibility antigen, B-48 alpha chainPeptide antigen bindingAntigen processing and presentation of exogenous peptide antigen via MHC class I, TAP-dependent; antigen processing and presentation of exogenous peptide antigen
20Solute carrier family 40-member 1Iron ion transmembrane transporter activity; peptide hormone bindingCellular iron ion homeostasis; iron ion export across plasma membrane; iron ion transmembrane transport; lymphocyte homeostasis; spleen trabecula formation
21Interferon-induced transmembrane protein 1Inhibits the entry of viruses to the host cell cytoplasm, permitting endocytosis, but preventing subsequent viral fusionCell surface receptor signaling pathway; response to interferon alpha or beta; type I interferon signaling pathway
22Proteasome subunit alpha type-7Endopeptidase activity; identical protein binding; threonine-type endopeptidase activityUbiquitin dependent protein catabolic process; post translational protein modification; protein deubiquitination; protein polyubiquitination
23Multifunctional protein ADE2Cadherin binding; phosphoribosylaminoimidazole carboxylase synthase activityPurine nucleobase biosynthetic process; purine ribonucleoside monophosphate biosynthetic process
24Serine/threonine-protein phosphatase 2A 65 kDa regulatory subunit A alpha isoformProtein antigen binding; protein heterodimerization activity; protein phosphatase regulator activity; protein serine/threonine phosphatase activityRNA splicing; ceramide metabolic process; peptidyl serine dephosphorylation; protein dephosphorylation
25Plexin-A4Semaphorin receptor activityChemorepulsion of branchiomotor axon; regulation of axonogenesis, axon extension and GTPase activity; semaphorin-plexin signaling pathway involved in axon guidance
26E3 ubiquitin-protein ligase TRIM58Dynein heavy chain binding; dynein intermediate chain binding; ubiquitin protein ligase activity; zinc ion bindingProtein autoubiquitination; protein polyubiquitination; regulation of nuclear migration along microtubule; ubiquitin dependent protein catabolic process
27Endoplasmic reticulum resident protein 44Protein disulfide isomerase activityCell redox homeostasis; glycoprotein metabolic process; response to endoplasmic reticulum stress and unfolded protein

GO analysis outcomes of the differentially expressed proteins

A GO analysis was employed to categorize the protein classification, molecular function, cellular composition, biological process, and mechanism.

GO analysis outcomes of the up-regulated proteins

Protein classification results indicated that 7.0%, 5.5%, 4.7%, 4.7%, 5.5%, 3.9% and 4.7% of these 128 up-regulated proteins were cytoskeletal protein, membrane traffic protein, metabolite interconversion enzyme, protein modifying enzyme, protein-binding activity modulator, scaffold/adaptor protein, and transporter, respectively (Figure 4A). Molecular function classification results indicated that 26.6%, 17.2%, 4.7% of these 128 up-regulated proteins were binding, catalytic activity, and transporter activity, respectively (Figure 4B). In biological process classification, the majority of the proteins were identified to be contributed in biological regulation (28.1%), organization of cellular component or biogenesis (18.0%), cellular process (39.8%), localization (18.8%), metabolic process (15.6%), response to stimulus (21.9%), and signaling (16.4%), respectively (Figure 4C). Based on the categorization of pathways, most of these proteins were associated with blood coagulation (4.8%), CCKR signaling map (3.1%), EGF receptor signaling pathway (3.1%), endothelin signaling pathway (3.9%), FGF signaling pathway (3.1%), inflammation induced by chemokine and cytokine signaling pathway (7.0%), integrin signaling pathway (6.3%), PI3 kinase pathway (2.3%) (Figure 5). The blood coagulation pathway included proteinase-activated receptor 4, platelet glycoprotein V, integrin alpha-IIb, platelet glycoprotein Ib alpha chain, platelet glycoprotein Ib beta chain, and platelet glycoprotein IX. The endothelin signaling pathway included endothelin-converting enzyme 1, cAMP-dependent protein kinase catalytic subunit beta, protein kinase C beta type, mitogen-activated protein kinase 1, and guanine nucleotide-binding protein subunit alpha-14.

The GO analysis results of up-regulated proteins in the PSCI group. (A) The protein classification of up-regulated proteins. (B) The molecular function of up-regulated proteins. (C) The biological process of up-regulated proteins.

Figure 4. The GO analysis results of up-regulated proteins in the PSCI group. (A) The protein classification of up-regulated proteins. (B) The molecular function of up-regulated proteins. (C) The biological process of up-regulated proteins.

The pathway of up-regulated proteins in the PSCI group.

Figure 5. The pathway of up-regulated proteins in the PSCI group.

GO analysis outcomes of the down-regulated proteins

Protein classification results indicated that 5.9%, 5.9%, 8.5%, 3.4%, 10.2% and 4.2% of these 118 down-regulated proteins were cytoskeletal protein, extracellular matrix protein, metabolite interconversion enzyme, nucleic acid binding protein, protein modifying enzyme, and protein-binding activity modulator, respectively (Figure 6A). Molecular function classification results indicated that 28.2%, 24.8%, 5.1%, 2.6% and 5.1% of these down-regulated proteins were binding, catalytic activity, molecular function regulator, molecular transducer activity and transporter activity, respectively (Figure 6B). Throughout the biological process classification, the majority of the proteins were identified to be contributed in biological regulation (20.3%), cellular composition organization or biogenesis (18.6%), cellular process (39.0%), immune system process (6.8%), localization (13.6%), metabolic process (21.2%), multicellular organismal process (9.3%), response to stimulus (16.1%) and signaling (9.3%) (Figure 6C). Based on the categorization of pathways, most of these proteins were connected to gonadotropin-releasing hormone receptor pathway (1.7%) and ubiquitin proteasome pathway (1.7%) (Figure 7). The chemokine and cytokine signaling pathway which induced the inflammation included rho-related GTP-binding protein, platelet factor 4 variant, C5a anaphylatoxin chemotactic receptor 1, and C-X-C chemokine receptor type 2. The integrin signaling pathway included collagen alpha-1(I) chain, collagen alpha-2(I) chain, integrin alpha-1, and ADP-ribosylation factor 6.

The GO analysis results of down-regulated proteins in the PSCI group. (A) The protein classification of down-regulated proteins. (B) The molecular function of down-regulated proteins. (C) The biological process of down-regulated proteins.

Figure 6. The GO analysis results of down-regulated proteins in the PSCI group. (A) The protein classification of down-regulated proteins. (B) The molecular function of down-regulated proteins. (C) The biological process of down-regulated proteins.

The pathway of down-regulated proteins in the PSCI group.

Figure 7. The pathway of down-regulated proteins in the PSCI group.

PPI networks analysis results

PPI networks analysis results of the up-regulated proteins

Utilizing STRING analysis, a controlled PPI network with high-quality was constructed. 127 up-regulated proteins were suitable for PPI network analysis (focus molecule) and PPI networks with high-quality were built according to the STRING database. A complete PPI regulation network with 127 up-regulated proteins were presented in Figure 8. The network clustering results showed that the PPI network consists of six specified function clusters that comprise proteins with similar functions and are expressed by various colors (Figure 9). These six visualized interaction function clusters (sub-networks) were related to degradation of ubiquitinated proteins and folding of proteins (lime green), calcium-dependent protein binding and ESCRT III complex disassembly (yellow), cytoskeleton reorganization and platelet aggregation (green), phospholipid scrambling of phosphatidylserine in platelets and ATP mediates synaptic transmission (purple), lipid binding, signal transduction (red), and blood coagulation, intrinsic pathway (blue), respectively. The PPI network which included the anticipated functional intermediate partners are presented in Table 7.

The PPI regulation network of up-regulated proteins in the PSCI group.

Figure 8. The PPI regulation network of up-regulated proteins in the PSCI group.

The PPI network means clustering of up-regulated proteins in the PSCI group. The PPI network is clustered to a specified number of clusters.

Figure 9. The PPI network means clustering of up-regulated proteins in the PSCI group. The PPI network is clustered to a specified number of clusters.

Table 7. The symbols and full names of the predicted functional intermediate partners in the PPI network of up-regulated expressed proteins shown in Figure 8.

No.Accession No.SymbolFull nameMolecular functionNumber of amino acids
1P25787PSMA2Proteasome subunit alpha type-2Component of the 20S core proteasome complex involved in the proteolytic degradation of most intracellular proteins.234
2P25789PSMA4proteasome subunit alpha type-4Participates in the ATP-dependent degradation of ubiquitinated proteins and plays a key role in the maintenance of protein homeostasis by removing misfolded or damaged proteins.261
3P16144ITGB4Integrin beta-4Binds to NRG1 (via EGF domain) and this binding is essential for NRG1-ERBB signaling1822
4P43686PRS6B26S proteasome regulatory subunit 6BA multiprotein complex involved in the ATP-dependent degradation of ubiquitinated proteins.418
5P51665PSMD726S proteasome non-ATPase regulatory subunit 7Plays a key role in the maintenance of protein homeostasis by removing misfolded or damaged proteins.324
6O75832PSMD1026S proteasome non-ATPase regulatory subunit 10Acts as a chaperone during the assembly of the 26S proteasome, specifically of the PA700/19S regulatory complex226
7Q9NZZ3CHMP5Charged multivesicular body protein 5Peripherally associated component of the endosomal sorting required for transport complex III which is involved in multivesicular bodies formation and sorting.219
8Q14242SELPLGP-selectin glycoprotein ligand 1A SLe(x)-type proteoglycan, which through high affinity, calcium-dependent interactions, mediates rapid rolling of leukocytes over vascular surfaces in inflammation.428

PPI networks analysis results of the down-regulated proteins

118 down-regulated proteins were suitable for PPI network analysis (focus molecule) and a controlled PPI networks with high-quality were constructed according to the STRING database. A complete regulation of PPI network by down-regulated proteins were presented in Figure 10. The network clustering result showed that the PPI network consists of six specified function clusters that comprise proteins with similar functions and are expressed by various colors (Figure 11). These six visualized interaction function clusters (sub-networks) were related to protein localization to juxtaparanode region of axon (yellow), cell adhesive protein binding, Fibrin Clot formation (green), mRNA splicing and RNA recognition (red), complement activation, lipid metabolism (purple), protein trafficking and cytoskeleton remodeling (lime green), and ATP-dependent degradation of ubiquitinated proteins (blue), respectively. The anticipated functional intermediate partners in the PPI network are presented in Table 8.

The PPI regulation network of down-regulated proteins in the PSCI group.

Figure 10. The PPI regulation network of down-regulated proteins in the PSCI group.

The PPI network means clustering of down-regulated proteins in the PSCI group. The PPI network is clustered to a specified number of clusters.

Figure 11. The PPI network means clustering of down-regulated proteins in the PSCI group. The PPI network is clustered to a specified number of clusters.

Table 8. The symbols and full names of the predicted functional intermediate partners in the PPI network of down-regulated expressed proteins shown in Figure 10.

No.Accession No.SymbolFull nameMolecular functionNumber of amino acids
1P22087FBLrRNA 2′-O-methyltransferase fibrillarinS-adenosyl-L-methionine-dependent methyltransferase that has the ability to methylate both RNAs and protein, catalyzing the site-specific 2′-hydroxyl methylation of ribose moieties in pre-ribosomal RNA.321
2P14866HNRNPLHeterogeneous nuclear ribonucleoprotein LSplicing factor binding to exonic or intronic sites and acting as either an activator or repressor of exon inclusion, Exhibiting a binding preference for CA-rich elements.589
3P36954POLR2IDNA-directed RNA polymerase II subunit RPB9DNA-dependent RNA polymerase catalyzes the transcription of DNA into RNA using the four ribonucleoside triphosphates as substrates.125
4P62714PPP2CBSerine/threonine-protein phosphatase 2A catalytic subunit beta isoformPP2A can modulate the activity of phosphorylase B kinase casein kinase 2, mitogen-stimulated S6 kinase, and MAP-2 kinase.309
5P25788PSMA3Proteasome subunit alpha type-3Plays numerous essential roles within the cell by associating with different regulatory particles.255
6P48556PSMD826S proteasome non-ATPase regulatory subunit 8Component of the 26S proteasome and participates in apoptosis or DNA damage repair.350
7P62877RBX1E3 ubiquitin-protein ligase RBX1E3 ubiquitin ligase component of multiple cullin-RING- based E3 ubiquitin-protein ligase (CRLs) complexes which mediate the ubiquitination and subsequent proteasomal degradation of target proteins.108

ELISA quantitative determination results of plasma proteins

Compared with control group, human 14-3-3 protein zeta/delta (YWHAZ) and human brain-specific angiogenesis suppressor 1 correlated protein 2 (BAIAP2) levels of plasma were significantly increased (P < 0.01) while that of human IgD (IGHD), human ATP binding cassette subfamily B member 6, mitochondrial (ABCB6) and human heat shock protein 60 (HSPD1) were significantly decreased in patients with and without PSCI (P < 0.01) (Figure 12).

Plasma levels of human 14-3-3 protein zeta/delta (YWHAZ), human Brain-Specific Angiogenesis Inhibitor 1-Associated Protein 2 (BAIAP2), human IgD (IGHD), human ATP Binding Cassette Subfamily B Member 6, Mitochondrial (ABCB6), and human Heat Shock Protein 60 HSPD1 in patients with and without post stroke cognitive impairment.

Figure 12. Plasma levels of human 14-3-3 protein zeta/delta (YWHAZ), human Brain-Specific Angiogenesis Inhibitor 1-Associated Protein 2 (BAIAP2), human IgD (IGHD), human ATP Binding Cassette Subfamily B Member 6, Mitochondrial (ABCB6), and human Heat Shock Protein 60 HSPD1 in patients with and without post stroke cognitive impairment.

Discussion

General comments

To further explore the molecular mechanism of cognitive impairment, label-free quantitative proteomics were employed to analyse the differential expressed proteins of plasma exosome in PSCI patients. Proteomics identified 259 differentially expressed proteins, containing 131 upregulated proteins and 128 downregulated proteins. These upregulated proteins are connected to ubiquitinated proteins degradation, calcium dependent protein binding, reorganization of cytoskeleton and platelet aggregation and blood coagulation. These downregulated proteins are related to protein localization to juxtaparanode region of axon, cell adhesive protein binding, fibrin clot formation, complement activation, lipid metabolism and ATP-dependent degradation of ubiquitinated proteins. The mechanisms of cognitive impairment of PSCI are related to blood flow regulation, energy metabolism, protein folding and degradation, cell apoptosis, synaptic plasticity. These were discussed in detail below.

Blood flow regulation associated proteins

Plasma kallikrein, a multifunctional serine protease associated with activation of contact coagulation [12]. Plasma kallikrein mechanisms of action can be utilized to support pro-thrombotic or anti-thrombotic characteristics. The kallikrein-kinin system suppresses thrombin-induced platelet activation, indicating an anti-thrombotic function [13]. Plasma kallikrein decreased collagen-induced platelet activation via binding collagen [14]. Whereas, the effect of pro-thrombotic is suggested by the plasma kallikrein critical role in contact activation by conversion of FXII to FXIIa. Additionally, plasma kallikrein converts prorenin to renin, which then converts angiotensinogen to angiotensin I [15]. Plasma kallikrein had been implicated in contributing to both hematoma expansion and thrombosis in stroke [16]. The outcomes of this investigation revealed that the plasma kallikrein expression was downregulated proteins. Plasma kallikrein may influence the occurrence and development of acute stroke through the activation and transformation pathway of FXII.

Platelet glycoprotein V (gpV), is a membrane constituent which containing an 82 kDa relative molecule mass, correlates with the leucine-rich proteins family. It is only expressed in platelets and megakaryocytes, and is non-covalently correlated with the gpIb-IX complex to develop a receptor for von Willebrand factor and thrombin [17, 18]. Hence, the GPIb-V-IX complex serve as the vWF receptor and modulates adhesion of vWF-dependent platelet to blood vessels. Platelet adhesion to damaged vascular surfaces in the arterial circulation is a crucial initiating event in hemostasis [19]. Platelet glycoprotein V may utilize as a platelet activation in vivo marker in thrombotic conditions. The expression of platelet-glycoprotein V in patients suffering from acute stroke is elevated, which is consistent with the study of Amin HM et al. [20]. Therefore, platelet glycoprotein V may play a protective role in the brain through blood coagulation. Fibrinogen like protein 1 (FGL1) is a released protein having mitogenic effect on primary hepatocytes. FGL1 includes an N-terminal signal recognition peptide, a potential N-terminal coil-coil domain, a C-terminal fibrinogen related domain (FReD) and multiple cysteines presumably utilized for inter and intra molecular disulfide bonds [21]. FGL1 may perform a potential function in these processes such as proliferation, angiogenesis, apoptosis and extracellular matrix modulation like structurally comparable proteins (angiopoietins, tenascins, fibrinogen) [22, 23]. Furthermore, the presence of FGL1 in the serum of rats after cytokine stimulation indicates that it could function as a significant biomarker for systemic inflammation [24]. Therefore, FGL1 may mediate the inflammatory response directly or indirectly in acute stroke. Our result of the increased expression of this protein just confirms this hypothesis.

Energy metabolism

ATP-binding cassette sub-family B member 6 (ABCB6), a member of adenosine triphosphate–binding cassette (ABC) transporter the family. It binds with heme and porphyrins and have a function in their ATP-dependent uptake into the mitochondria and plays a crucial role in the synthesis of heme [25]. Some researches have found that ABCB6 expression is protective against various results elevating oxidative stress, including exposure of arsenite [26, 27]. The outcomes of this investigation revealed that the expression level of ABCB6 reduced in patients suffering from acute stroke. The ABCB6 expression and function of closely related to the oxidation mechanism of mitochondria [25]. Therefore, ABCB6 may serve a protective function in the brain via antioxidant mechanisms.

Synaptic plasticity

Brain-specific angiogenesis inhibitor 1-associated protein 2 (BAIAP2), adapter protein that connects membrane-bound small G-proteins to cytoplasmic effector proteins. Subsequent researches have conclusively proven BAIAP2 serves as an essential regulator of membrane and actin dynamics at subcellular structures rich in actin, such as filopodia and lamellipodia [2830]. Actin skeleton and its dynamics play an important role in the excitatory synaptic transmission and plasticity regulation [31, 32]. The results of this investigation revealed that the expression level of BAIAP2 increased in individuals with acute stroke. In the brain, BAIAP2 may perform a neuroprotective function by improving synaptic function.

Conclusion

In conclusion, the present study found 259 differentially expressed proteins such as 131 upregulated proteins and 128 downregulated proteins using label-free quantitative proteomics approach in plasma exosome of PSCI patients. The findings suggested that the mechanism of cognitive impairment may be related to blood flow regulation, energy metabolism, protein folding and degradation, cell apoptosis, synaptic plasticity, stress response and protein phosphorylation in PSCI patients. Therefore, these proteins may be target-related proteins and shed light on pathogenesis mechanisms on a global scale of cognitive impairment at plasma exosome proteins level in PSCI patients. The disorders of plasma exosome proteomics may be explained the cognitive impairment in PSCI patients. Further association studies need to be clarified.

Supplementary Materials

Supplementary Tables

Author Contributions

Qi BY and Wei DF designed the research; Qi BY, Wei DF, Kong LB, Lai XX, Wang LS, Fei Liu F and Ji WW performed research and analyzed data; Qi BY and Wei DF wrote the manuscript; Qi BY, Ji WW and Wei DF revised the manuscript. The final manuscript was reviewed and approved by all authors.

Conflicts of Interest

The authors declare no conflicts of interest related to this study.

Ethical Statement and Consent

The study was approved by the Ethics Committee of Dongzhimen Hospital affiliated with Beijing University of Chinese Medicine (approval number: DZMEC-KY-2019-04). The written consent of all participants or their legal guardians has been obtained.

Funding

This work was supported by Scientific and Technological Innovation project of China Academy of Chinese Medical Sciences (grant number: CI2021A01306); the National Natural Science Foundation of China (grant number: 82174210, 81603488); Young Teacher Project of Beijing University of Chinese Medicine (grant number: 2019-BUCMXJKY021); Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences (grant number: CI2021B003); and the China Academy of Chinese Medical Sciences (grant number: ZZ11-111).

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