Ouada Nebie1,2,3, Kevin Carvalho2,3, Lassina Barro4, Liling Delila1, Emilie Faivre2,3, Ting-Yi Renn5, Ming-Li Chou1,6, Yu-Wen Wu1, Ariunjargal Nyam-Erdene4, Szu-Yi Chou7,8,9, Luc Buée2,3,10, Chaur-Jong Hu7,8,9,11,12, Chih-Wei Peng4,13, David Devos2,10, David Blum2,3,9, Thierry Burnouf1,4,6,13,14,15. 1. Graduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan. 2. University of Lille, Inserm, CHU Lille, U1172 - LilNCog-Lille Neuroscience and Cognition, Lille F-59000, France. 3. Alzheimer and Tauopathies, LabEx DISTALZ, LiCEND, Lille F-59000, France. 4. International PhD Program in Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan. 5. Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan. 6. Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan. 7. NeuroTMULille International Laboratory, Taipei Medical University, Taipei, 11031, Taiwan. 8. PhD Program for Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University and National Health Research Institutes, Taipei, 11031, Taiwan. 9. Graduate Institute of Neural Regenerative Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, 11031, Taiwan. 10. NeuroTMULille International Laboratory, Univ. Lille, Lille, F-59000 France. 11. Dementia Center, Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, 23561, Taiwan. 12. Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan. 13. School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, 11031, Taiwan. 14. International PhD Program in Cell Therapy and Regeneration, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan. 15. Brain and Consciousness Research Centre, Taipei Medical University Shuang Ho Hospital, New Taipei City, 23561, Taiwan.
Abstract
Traumatic brain injury (TBI) leads to major brain anatomopathological damages underlined by neuroinflammation, oxidative stress and progressive neurodegeneration, ultimately leading to motor and cognitive deterioration. The multiple pathological events resulting from TBI can be addressed not by a single therapeutic approach, but rather by a synergistic biotherapy capable of activating a complementary set of signalling pathways and providing synergistic neuroprotective, anti-inflammatory, antioxidative, and neurorestorative activities. Human platelet lysate might fulfil these requirements as it is composed of a plethora of biomolecules readily accessible as a TBI biotherapy. In the present study, we tested the therapeutic potential of human platelet lysate using in vitro and in vivo models of TBI. We first prepared and characterized platelet lysate from clinical-grade human platelet concentrates. Platelets were pelletized, lysed by three freeze-thaw cycles, and centrifuged. The supernatant was purified by 56°C 30 min heat treatment and spun to obtain the heat-treated platelet pellet lysate that was characterized by ELISA and proteomic analyses. Two mouse models were used to investigate platelet lysate neuroprotective potential. The injury was induced by an in-house manual controlled scratching of the animals' cortex or by controlled cortical impact injury. The platelet lysate treatment was performed by topical application of 60 µl in the lesioned area, followed by daily 60 µl intranasal administration from Day 1 to 6 post-injury. Platelet lysate proteomics identified over 1000 proteins including growth factors, neurotrophins, and antioxidants. ELISA detected several neurotrophic and angiogenic factors at ∼1-50 ng/ml levels. We demonstrate, using two mouse models of TBI, that topical application and intranasal platelet lysate consistently improved mouse motor function in the beam and rotarod tests, mitigated cortical neuroinflammation, and oxidative stress in the injury area, as revealed by downregulation of pro-inflammatory genes and the reduction in reactive oxygen species levels. Moreover, platelet lysate treatment reduced the loss of cortical synaptic proteins. Unbiased proteomic analyses revealed that heat-treated platelet pellet lysate reversed several pathways promoted by both controlled cortical impact and cortical brain scratch and related to transport, postsynaptic density, mitochondria or lipid metabolism. The present data strongly support, for the first time, that human platelet lysate is a reliable and effective therapeutic source of neurorestorative factors. Therefore, brain administration of platelet lysate is a therapeutical strategy that deserves serious and urgent consideration for universal brain trauma treatment.
Traumatic brain injury (TBI) leads to major brain anatomopathological damages underlined by neuroinflammation, oxidative stress and progressive neurodegeneration, ultimately leading to motor and cognitive deterioration. The multiple pathological events resulting from TBI can be addressed not by a single therapeutic approach, but rather by a synergistic biotherapy capable of activating a complementary set of signalling pathways and providing synergistic neuroprotective, anti-inflammatory, antioxidative, and neurorestorative activities. Human platelet lysate might fulfil these requirements as it is composed of a plethora of biomolecules readily accessible as a TBI biotherapy. In the present study, we tested the therapeutic potential of human platelet lysate using in vitro and in vivo models of TBI. We first prepared and characterized platelet lysate from clinical-grade human platelet concentrates. Platelets were pelletized, lysed by three freeze-thaw cycles, and centrifuged. The supernatant was purified by 56°C 30 min heat treatment and spun to obtain the heat-treated platelet pellet lysate that was characterized by ELISA and proteomic analyses. Two mouse models were used to investigate platelet lysate neuroprotective potential. The injury was induced by an in-house manual controlled scratching of the animals' cortex or by controlled cortical impact injury. The platelet lysate treatment was performed by topical application of 60 µl in the lesioned area, followed by daily 60 µl intranasal administration from Day 1 to 6 post-injury. Platelet lysate proteomics identified over 1000 proteins including growth factors, neurotrophins, and antioxidants. ELISA detected several neurotrophic and angiogenic factors at ∼1-50 ng/ml levels. We demonstrate, using two mouse models of TBI, that topical application and intranasal platelet lysate consistently improved mouse motor function in the beam and rotarod tests, mitigated cortical neuroinflammation, and oxidative stress in the injury area, as revealed by downregulation of pro-inflammatory genes and the reduction in reactive oxygen species levels. Moreover, platelet lysate treatment reduced the loss of cortical synaptic proteins. Unbiased proteomic analyses revealed that heat-treated platelet pellet lysate reversed several pathways promoted by both controlled cortical impact and cortical brain scratch and related to transport, postsynaptic density, mitochondria or lipid metabolism. The present data strongly support, for the first time, that human platelet lysate is a reliable and effective therapeutic source of neurorestorative factors. Therefore, brain administration of platelet lysate is a therapeutical strategy that deserves serious and urgent consideration for universal brain trauma treatment.
Traumatic brain injury (TBI), resulting from road traffic accidents, sport injuries, falls,
or military casualties, is a major and growing cause of disability and death worldwide,
including low and high income countries, with an incidence of 69 million per year. The physiopathology of TBIs is very
diverse and is based on the severity of the trauma. Immediate mechanical damage, resulting
from direct cortical injury or intracranial pressure gradients, is followed by acute and
secondary cascades of multifaceted pathological events that promote neurodegeneration and
impair neuro-regeneration. Typical pathophysiological hallmarks of TBI encompass synaptic
dysfunction, axonal damage, neuronal cell death, microhaemorrhages with blood leakage into
the brain parenchyma, glial cell accrued activation, neuroinflammation and immune cell
infiltration. Subcortical dysfunctions may also arise together with cortical lesions, lead
to progressive loss of cognitive functions and favour the development of dementia. In
spite of these devastating socioeconomic consequences, there is no available treatment that
provides effective short-term neuroprotective action or long-term neurorestorative therapy;
only palliative approaches, tailor-made to the patient’s situation, are currently
implemented.,We reasoned that the multiple pathological events resulting from a TBI can be addressed not
by a single therapeutic approach, but rather by a biotherapy capable of activating a
complementary set of signalling pathways that provide synergistic neuroprotective,
anti-inflammatory, antioxidative, and neurorestorative activities. Human platelet lysate,
with its rich proteome, might fulfil these requirements. Indeed, human platelet lysate
represents an abundant reserve of bioactive biomolecules comprising neurotrophic and
angiogenic growth factors [e.g. brain-derived neurotrophic factor (BDNF), platelet-derived
growth factor (PDGF), epidermal growth factor (EGF), and vascular endothelial growth factor
(VEGF)], anti-inflammatory cytokines [transforming growth factor-β (TGF-β)], chemokines,
antioxidants [superoxide dismutase (SOD), glutathione peroxidase (GPX), and catalase]., Platelet lysate also contains neurotransmitters (such
as serotonin and histamine) that promote neurogenesis, extracellular vesicles that can serve
as targeted delivery vehicles of these factors, as well as micro (mi)RNAs, to recipient
cells. Recent analyses have suggested that the human platelet lysate
may promote cognitive functions and be of therapeutic value for the treatment of brain
disorders.,In the present study, we evaluated the capacity of a specific preparation of human platelet
lysate, a heat-treated human platelet pellet lysate (HPPL) to modulate and control the
complex pathological events associated with TBI using a well-characterized mild controlled
cortical impact (CCI) injury in mice, to mimic a concussion, as well as a new cortical brain
scratch (CBS) assay, to mimic penetrating injury and brain parenchyma damage. Overall, we
demonstrated, in these two models, the significant benefits afforded by both brain topical
(for localized action in severe cases) and intranasal (for prolonged therapy in both
moderate and severe cases) administration of the HPPL, thereby establishing a new promising
and readily accessible biotherapy in clinical neuroscience for modulating short- and
long-term effects of TBIs.
Materials and methods
Study approval and animal experiment design
All animal experiments were performed in compliance with guidelines for the welfare of
animals and with the approval of an animal use protocol from Taipei Medical University
(TMU) (application no. 2017–0410). In total, 177 adult male C57/BL6 mice (aged 8–12 weeks,
weighing 20–30 g) were purchased from the Taiwan National Laboratory Animal Center
(Nangang, Taipei, Taiwan) and housed at the TMU animal facility (Taipei, Taiwan) under a
reversed light-dark cycle. Mice were used in several batches to ensure their optimal
utilization.
Bioactive compound: the HPPL
HPPL was prepared from therapeutic-grade human platelet concentrates with approval by the
Institutional Review Board of TMU (TMU-JIRB no. 201802052). The platelet concentrates were
obtained from healthy regular donors at the Taipei Blood Center using standardized, Taiwan
FDA-licensed procedures. The donations were non-reactive for markers of blood-borne
viruses (HIV, hepatitis B virus, and hepatitis C virus). When reaching the expiry date
(5 days after collection), apheresis platelet concentrates were processed as described
previously, to obtain the HPPL. Briefly,
platelet concentrates were first transferred to sterile centrifugation tubes under a
laminar flow hood to maintain sterility. Platelets were pelletized at
3000g for 30 min at room temperature; then the pellet surface was
carefully washed with PBS to remove residual plasma proteins, and resuspended in 1/10 PBS
of the initial platelet concentrate volume. Platelets were lysed to obtain the HPPL by
three freeze-thaw cycles of −80/37°C, and the mixture was centrifuged at
4500g for 30 min at 22 ± 2°C to recover the supernatant, which was
heated to 56°C for 30 min. The suspension was finally cooled down to 4°C, and spun at
104g for 15 min at 4°C to obtain the HPPL supernatant.
Aliquots were prepared and stored at −80°C until use.
Quantification of growth factors in the HPPL by an ELISA
Concentrations of selected trophic factors including BDNF, EGF, HGF, PDGF-AB, VEGF, and
TGF-β were determined by a sandwich ELISA technique (DuoSet ELISA; R&D Systems) as
described previously following
the manufacturer’s protocol (a detailed description is provided in the Supplementary material).
Cell culture
Neuroblastoma SH-SY5Y cells (ATCC CRL-2266) were used as a neuronal cell model. Cells
were maintained in Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% foetal
bovine serum (FBS, Gibco, Invitrogen), 1% non-essential amino acids (NEAAs, GE Hyclone),
100 U/ml penicillin, and 100 U/ml streptomycin (Gibco, Life Technologies) at 37°C in a
saturated humid atmosphere with 5% CO2. Flasks (T75; Nunc, Thermo Fisher
Scientific) were used for cell seeding, and when they reached 80–90% confluence, cells
were gently washed with PBS before the addition of 4 ml trypsin-EDTA (Thermo Fisher
Scientific). The flask was incubated for 2–3 min in an incubator to allow cells to detach.
Cells were next resuspended in medium, counted, and seeded in T75 flasks or plates.
SH-SY5Y cells were differentiated using 1 µM retinoic acid in complete growth medium (cat
no. 302-79-4; Sigma) for 7 days by changing the medium every 2 days. For details of cells
culture procedures, see the Supplementary material.
In vitro scratch injury
The in vitro scratch assay to mimic trauma was performed using
differentiated SH-SY5Y neuroblastoma cell cultures. Briefly, differentiated cells were subjected to a
mechanical injury by carefully drawing parallel scratches in the cell monolayer, then
treating the culture with 5% (v/v) HPPL. Closure of the wound area and axonal extensions
(n = 3) were assessed at 4 days by acquiring bright-field images using
a fluorescent DMi8 microscope (Leica, Sage Vision). Cells were also stained with
synaptophysin. Neurite lengths were measured using Simple Neurite Tracer software (an
ImageJ plugin). Treated cells were compared to untreated cells.
In vivo cortical brain scratch assay
A standardized in vivo CBS assay (Supplementary Fig. 1) as a
preclinical translation of our in vitro scratch injury model was developed to mimic
penetrating injury and brain parenchyma damage that occur in moderate to severe TBIs.
Animals were first anaesthetized using a combination of Zoletil™ (10 mg/kg) and xylazine
(10 mg/kg). The head of an anaesthetized mouse was next fixed in a stereotaxic frame
(Stoelting) using ear bars, shaved, and cleaned with 10% iodine and 75% ethanol. A midline
incision (∼1 cm long) using scissors was made to expose the skull. The soft tissue was
removed from the surface of the skull and the sagittal suture, the bregma and the lambda
were identified. A 4-mm diameter circle was drawn on the right parietal bone and centred
between lambda and bregma with the sagittal suture tangential to the circle. A drill was
used to cut along the marked circle to expose the brain. Two parallel lines at a depth of
0.6 mm and separated by 2 mm were drawn using an 18-gauge needle fixed to the stereotaxic
frame. The two lines were 4 mm in length (Supplementary Fig. 1). Once the bleeding had stopped, the wound was
sutured with non-absorbable sutures (nylon, 4–0, NC124) and antibiotic ointment was
applied to the wound before the animal was returned to a new clean heated cage for
recovery. Sham-operated (Sham) mice were subjected to a hole drill but without scratching
the brain.
Controlled cortical impact
The well-characterized CCI model was used as a reference to validate the CBS injury and
determine impacts of HPPL treatment. Mice were subjected to a mild traumatic impact with a
CCI device (eCCI-6.3, Custom Design & Fabrication) after Zoletil™-induced anaesthesia.
The animal head was fixed in a stereotaxic frame using ear bars. A midline incision using
scissors was made on the right side to expose the skull as done for the CBS model. The
sagittal suture, the bregma, and the lambda were located. A 4-mm circle in diameter was
drawn over the right hemisphere and on the parietal bone at the midway i.e. centred
between lambda and bregma. A hole was drilled along the marked circle (Supplementary Fig. 1). The injury
was then induced using the CCI device with 3-mm tip size and after setting the following
impact parameters: velocity of the actuator of 3 m/s, a deformation depth of 0.2 mm, and a
dwell time of 250 ms. The injury was initiated by impacting perpendicularly the surface of
the cortex. Then, the skin was closed, and after applying antibiotic ointment to the
suture to prevent bacterial infection, the mouse was moved to a heated cage to recover and
allowed to live 1 or 2 weeks.
Mouse behavioural tests
Behavioural tests were performed between 11:00 and 18:00. The equipment was carefully
wiped with 75% ethanol before and after each experiment to prevent olfactory distraction.
To evaluate the sensory motor function, beam and rotarod tests
(n = 9–14 mice/group) were performed at 3 (DPI3) and
6 days post-injury (DPI6). In addition, locomotor activity and anxiety behaviour were
tested using an open-field test, and the short memory (n = 6 mice per
group) was assessed by a novel object recognition test. The time each animal spent to
cross the beam or on the rod before falling off was recorded as its latency to fall. The average of the three trials
was calculated and recorded as the performance of the animal. For the open-field test, we
evaluated the spontaneous activity of a mouse in an open-field box (60 × 60 cm) that
consisted of a black wooden box under a camera. Moreover, the interaction of each animal
with new and familiar objects was recorded by an automated video tracking system during
10 min. Then, the memory performance of a mouse was calculated and expressed as a
discrimination index (DI) (Supplementary material).
Administration of the HPPL
The HPPL was delivered by sequential topical and intranasal routes to address the acute
phase of the injury and optimize the effect of HPPL activity over time. Approximately
30 min after CBS or CCI, and after adsorption of excess blood, 60 µl of the HPPL was
slowly applied drop by drop into the wounded area before suturing the skin. The HPPL was
delivered intranasally from DPI1 to DPI6., Intranasal delivery was carried out as described previously., Each non-anaesthetized mouse was held carefully
by its ears, immobilized, and then positioned on its back with the head upright. Using a
pipette, 20 µl of the HPPL was administered intranasally as four drops by alternating the
nostrils. A 5-min interval was observed between each administration, for a total of three
times per day. This procedure was repeated for six consecutive days, corresponding to a
total volume of 420 µl per mouse. Sham and TBI-saline mice received the same volume of
saline following the same intracranial and intranasal administration procedures.
Western blot analysis for protein detection
Samples of mouse brains collected in regions of interest (ipsilateral cortex) were lysed
in 200 µl lysis buffer [Tris buffer at pH 7.4 containing 10% sucrose and protease
inhibitors (cat 4693132001, Complete; Roche Diagnostics)] and stored at −80°C until used.
Proteins of each sample (20 µg) were separated on 4%∼12% Criterion XT Bis-Tris
polyacrylamide gels (Bio-Rad) or a 4%∼12% gradient GenScript Bis-Tris precast gel
(GenScript) and transferred to nitrocellulose membranes. The membranes were incubated with
anti-β-actin antibody (1/10 000, A5441, Sigma), anti-neuron-specific enolase (NSE; 1/1000,
NA12-47, BioMol), anti-synaptophysin H-93 (1/1000, sc-9116, Santa Cruz Biotechnology),
anti-Munc-18 (1/1000, M2694, Sigma), anti-SNAP25 (1/1000, Sc-376713, Santa Cruz),
anti-PSD-95 (1/1000, 2507S, Cell Signaling) and anti-heat shock protein 60 (HSP60) loading
control (1/10 000, ab45134, Abcam). For the complete protocol, see the Supplementary material.
Oxidative stress detection
We used the lucigenin-ECL assay to determine nicotinamide adenine dinucleotide phosphate
(NADPH) oxidase-mediated superoxide radical (O2−) production. At
DPI7, animals (n = 4–5 mice per group) were anaesthetized with Zoletil™
50 followed by their decapitation. The cortex of each mouse was quickly dissected and kept
in cold Krebs buffer (2.38 mM KCl, 1.2 mM KH2PO4, 118 mM NaCl, 25 mM
NaHCO3, 11 mM glucose, 1.2 mM MgCl2, 1.2 mM MgSO4, and
2.5 mM CaCl2, in deionized water at pH 7.4) oxygenated (saturated with 95%
O2 and 5% CO2) for 10 min. Fresh tissue was placed in 150 µl of
buffer with 50 µl lucigenin (5 μmol/l). Using a single-tube luminometer, a baseline was
first measured over 60 s. Finally, 50 µl NADPH; (100 µmol/l) was added to the test tube,
and the chemiluminescence was measured over 350 s and expressed in counts per second (cps)
per square centimetre (cps/cm2). At the end of the measurement, all samples
were weighted and used to normalize cps values.
ELISA for synaptic protein assessment
A mouse DLG4/PSD-95 ELISA kit (#E-EL-M1303), Mouse SNAP-25 ELISA Kit (#E-EL-M1106), and
Mouse SYP/Synaptophysin ELISA kit (E-EL-M1105) were used to determine levels of synaptic
markers according to the manufacturer’s protocols (Elabscience). Brain tissue homogenates
(n = 5–7 mice/group) were prepared, and their protein amount was
evaluated using the BCA assay kit. Synaptic protein concentrations are expressed in ng/mg
of total protein.
Gene expression analysis by quantitative PCR
RNA was extracted from collected tissues (n = 7–10 mice/group) using a
RNeasy Lipid Tissue Mini Kit (cat.74804, Qiagen), according to the manufacturer’s
protocol. NanoDrop2000 (ThermoFisher Scientific) was used to quantify the total RNA
concentration. One microgram of total RNA was used to synthesize cDNA using the Applied
Biosystems High-Capacity cDNA reverse-transcription kit (#4368814). Reverse transcription
(RT) was run with the following programme on a StepOneTM Real-Time PCR System
(ThermoFisher Scientific): 10 min at 25°C, 60 min at 37°C, 60 min at 37°C, 5 min at 85°C,
and 5 min at 4°C. The obtained cDNA was stored at −20°C prior to use in the qPCR.
Validated primers were used to perform the qPCR. Reactions were prepared using 5 µl of
Power SYBR Green PCR Master Mix (cat. no. 4367659, ThermoFisher Scientific), 0.1 µl of
forward primer, 0.1 µl of reverse primer, 2 µl of cDNA pre-diluted 20 times, and 2.8 µl of
RNase-free water for each sample. StepOneTM Real-Time PCR System was used with
an amplification profile of 50°C for 12 min and 95°C for 10 min, followed by 40 cycles of
95°C for 15 s, 60°C for 30 s, and 95°C for 15 s, and then 60°C for 1 min as a
step-and-hold melt curve analysis. Various inflammatory markers were screened that target
astrocytic markers, microglial markers, cytokines, and chemokines, and chemokine receptors
using primers described in Supplementary Table 1.
Immunohistochemistry for the histological analysis
Prior to brain sectioning, samples were removed from −80°C and allowed to equilibrate at
−20°C for at least 30 min as the cryostat temperature. Tissues were then embedded in
optimum cutting temperature medium on tissue holders. Coronal sections at 10 µm thick were
cut, mounted on commercial gelatine-coated slides (Platinum PRO, adhesive glass slides),
and stored at −80°C until needed. GFAP (ref Z0334, Dako) and Iba1 (ref 019-197441, Wako)
staining were performed for each sample. Fluorescence images were acquired using
TissueFAXS acquisition; four sections anterior and four sections posterior to the centre
of the lesion were acquired and analysed for each animal. The intensity of immunostaining
(n = 5/group) was analysed using ImageJ (NIH)
software. In addition, some slides were used to carry out a cresyl violet staining to
determine the lesioned volume (Supplementary material).
Proteomics analysis of HPPL and mice cortex
Crude HPPL and mice ipsilateral cortices (n = 8) collected at DPI7,
subjected to protein extraction in Tris-sucrose buffer were treated with acetone precooled
to −20°C, and incubated overnight at −20°C. The ratio between the sample and acetone was
1:4. Following incubation, the mixture was spun at 15 000g for 10 min at
4°C. The supernatant was then discarded, and the protein pellet was washed twice with cold
acetone in water (1:4). The sample was spun at 13 000g for 10 min at 4°C
for each wash. Finally, the supernatant was discarded, and the pellet was air-dried prior
to being resuspended in 6 M urea. A BCA protein assay kit was used to determine the total
protein concentration, and 20 µg of protein was sent to the proteomics core at National
Taiwan University (Taipei, Taiwan) for the proteomics analysis. The list of proteins
generated was next analysed using DAVID Bioinformatics Resources 6.8. A complete
description of data acquisition, and proteins identification is available in the Supplementary material.
Statistical analysis
GraphPad Prism (vers. 8.0, San Diego, CA, USA) was used to perform all analyses, and data
are expressed as the mean ± standard error of the mean (SEM) or standard deviation (SD).
Multiple comparisons with a one-way ANOVA followed by Tukey’s
post hoc test was used to identify significance
between groups. For the in vitro evaluation of the HPPL functional
activity, significance was determined using Student’s t-test. Details
regarding n values, the type of comparison, and the statistical
significance are indicated in the figure legends. For the western blot image analysis,
ImageJ software was used for quantification.
Data availability
The data that support the findings of this study are available from the corresponding
authors on request.
Results
Pathophysiological development of brain lesions in CBS and CCI models of TBI
We first characterized the pathophysiological development of our new CBS model of TBI,
which was designed to mimic the pathophysiological consequences of a penetrating brain
injury, and compared its evolution to the CCI model, using behavioural and
molecular/biochemical/histological approaches (Fig. 1A).
Figure 1
Impact of TBI on motor behaviour. Animals were subjected to sham
treatment (Sham), CCI or CBS, and evaluated through open-field, beam test and rotarod
tests 3 and 6 days post-surgery. (A) Schematic drawing showing the
experimental design. (B) An open-field test was performed to visualize
any differences in the animals’ ambulation. Mice were left to freely explore a box for
10 min. The total distance and time spent in the centre of the field as an indication
of anxiety-related behaviour were analysed. No difference was observed among groups
for the total distance records. However, compared to CBS mice, a significant increase
in the time spent by CCI mice in the centre was observed at both time points.
(C) The beam and rotarod tests were performed to investigate motor
coordination and balance. CCI and CBS induced significant impairment of the motor
function at DPI3 as revealed by the time spent to cross a narrow beam and the latency
to fall used as an indicator of motor coordination, respectively. At DPI6, only the
beam test detected a significant deficit in CBS mice compared to Sham mice. Data are
presented as the mean ± SEM (n = 9–19).
*P < 0.05, ***P < 0.001 for CBS versus Sham;
$P < 0.05, $$P < 0.01
for CCI versus Sham; P < 0.05,
P < 0.01 for CCI versus CBS, using a
one-way ANOVA followed by Tukey’s post hoc test.
Impact of TBI on motor behaviour. Animals were subjected to sham
treatment (Sham), CCI or CBS, and evaluated through open-field, beam test and rotarod
tests 3 and 6 days post-surgery. (A) Schematic drawing showing the
experimental design. (B) An open-field test was performed to visualize
any differences in the animals’ ambulation. Mice were left to freely explore a box for
10 min. The total distance and time spent in the centre of the field as an indication
of anxiety-related behaviour were analysed. No difference was observed among groups
for the total distance records. However, compared to CBS mice, a significant increase
in the time spent by CCI mice in the centre was observed at both time points.
(C) The beam and rotarod tests were performed to investigate motor
coordination and balance. CCI and CBS induced significant impairment of the motor
function at DPI3 as revealed by the time spent to cross a narrow beam and the latency
to fall used as an indicator of motor coordination, respectively. At DPI6, only the
beam test detected a significant deficit in CBS mice compared to Sham mice. Data are
presented as the mean ± SEM (n = 9–19).
*P < 0.05, ***P < 0.001 for CBS versus Sham;
$P < 0.05, $$P < 0.01
for CCI versus Sham; P < 0.05,
P < 0.01 for CCI versus CBS, using a
one-way ANOVA followed by Tukey’s post hoc test.
CBS and CCI produce behavioural deficits in motor-dependent tasks
We evaluated general motor activity using an open-field task, at post-injury DPI3 and
DPI6. There was no significant difference in the total distance travelled by mice over
10 min between the three groups (Fig. 1B).
Compared to CBS, CCI mice spent a significantly longer time (P < 0.05)
in the centre of the field at DPI3 and DPI6, presumably indicating a change in anxiety
behaviour. To understand the impact of CBS and CCI on motor coordination, we performed
both beam and rotarod tests. The beam test revealed a significant increase
(P < 0.005) in the time spent by CBS animals crossing the elevated
beam compared to the Sham animals, at both time points (Fig. 1C, left). A significant difference between the CCI and
Sham groups was essentially observed at DPI3. Further, CBS mice spent significantly less
time (P < 0.005)—and a trend for CCI animals—on the rotarod at DPI3
compared to Sham animals (Fig. 1B, right),
suggestive of impaired motor coordination.
CBS and CCI promote cortical neuroinflammation
To understand the physiological events underlying CBS versus CCI injuries,
neuroinflammatory gene expressions were quantified in the cortex by RT-qPCR at DPI7 (Fig. 2A). Compared to the Sham group, relative
mRNA expressions of tumour necrosis factor-α (Tnfa), interleukin-1b
(Il1b) and chemokines (Ccl3, Ccl4 and
Ccl5) in the ipsilateral cortex were found to be significantly enhanced
(P < 0.05, P < 0.01) in CBS mice. Further, the
scratch injury caused upregulation of microglial markers, such as toll-like receptors
(Tlr2 and Tlr4), the cluster of differentiation 68
(Cd68) lysosomal protein, complement component 1q
(C1q), and triggering receptor expressed on myeloid cells 2
(Trem2), as well as of astroglial markers such as glial fibrillary
acidic protein (Gfap) and vimentin (Vim)
(P < 0.01, P < 0.001; Fig. 2A). In the CCI group, Il1b,
Ccl4, Cd68 and Gfap were
significantly upregulated with similar trends for all other markers compared to
Sham-treated mice. When comparing the CBS to the CCI group, we found overall significantly
higher expressions of Tlr2 and Tlr4 receptors, CD68,
Trem2, C1q and vimentin in the CBS group, suggesting a
more severe injury in the former model (Fig. 2A). Corroborating gene expression analysis, immunohistochemical analyses
of both GFAP and Iba-1 indicated cortical glial activation in both TBI models (Fig. 2B).
Figure 2
Impact of TBI on cortical neuroinflammation. (A) Cytokine,
chemokine and glial marker mRNA levels were evaluated in the ipsilateral cortex 7 days
post-injury (DPI7). All genes tested were expressed as a percentage of sham-treated
mice (n = 10/group). (B)
Immunohistochemical evaluation of GFAP and Iba-1 in the cortex of CCI and CBS animals
(n = 5/group). Scale bar = 50 μm. RT-qPCR and
immunohistochemical data supported the development of neuroinflammation in both TBI
models. Data are reported as mean ± SEM.
*P < 0.05,
**P < 0.01, ***P < 0.001
for CBS versus Sham; $P < 0.05,
$$P < 0.01 for CCI versus Sham,
##P < 0.05,
###P < 0.001 CCI versus CBS by a
one-way ANOVA using Tukey’s post hoc test.
Impact of TBI on cortical neuroinflammation. (A) Cytokine,
chemokine and glial marker mRNA levels were evaluated in the ipsilateral cortex 7 days
post-injury (DPI7). All genes tested were expressed as a percentage of sham-treated
mice (n = 10/group). (B)
Immunohistochemical evaluation of GFAP and Iba-1 in the cortex of CCI and CBS animals
(n = 5/group). Scale bar = 50 μm. RT-qPCR and
immunohistochemical data supported the development of neuroinflammation in both TBI
models. Data are reported as mean ± SEM.
*P < 0.05,
**P < 0.01, ***P < 0.001
for CBS versus Sham; $P < 0.05,
$$P < 0.01 for CCI versus Sham,
##P < 0.05,
###P < 0.001 CCI versus CBS by a
one-way ANOVA using Tukey’s post hoc test.
Impact of CBS and CCI on cortical synaptic marker level
Next, we investigated whether the CBS and CCI injuries affected expressions of pre- and
postsynaptic markers in the cortex at DPI7, using western blot analysis and dedicated
ELISA. Overall, both TBI procedures led to major impairments in synaptic protein levels
(Fig. 3A and B) attested by the significant
decreases of synaptosome-associated protein 25 (SNAP25), synaptophysin presynaptic marker
(SYP), postsynaptic density (PSD)-95 protein and mammalian uncoordinated (Munc)-18. These
biochemical experiments supported similar effects between CBS and CCI models. However, as
implied by the mRNA study, histological analysis of the lesion volume using cresyl violet
staining highlighted that CBS procedure resulted in a larger cortical lesion than CCI
(Fig. 3C).
Figure 3
Impact of TBI on cortical synaptic markers. (A) Western blot
analysis of ipsilateral cortex at DPI7. (B) Densitometric analysis of
protein expression (top). ELISA determination
(bottom). Data support the significant loss of synaptic proteins
7 days post-injury. (C) Cresyl violet staining has been used to evaluate
the lesion volume in TBI animals. Data are expressed as the mean ± SEM by a one-way
ANOVA with Tukey’s post hoc test;
n = 4–7 mice per group.
*P < 0.05, **P < 0.01, for CBS versus Sham;
$P < 0.05, $$P < 0.01,
$$$P < 0.001 for CCI versus Sham. Scale = 250 µm.
Impact of TBI on cortical synaptic markers. (A) Western blot
analysis of ipsilateral cortex at DPI7. (B) Densitometric analysis of
protein expression (top). ELISA determination
(bottom). Data support the significant loss of synaptic proteins
7 days post-injury. (C) Cresyl violet staining has been used to evaluate
the lesion volume in TBI animals. Data are expressed as the mean ± SEM by a one-way
ANOVA with Tukey’s post hoc test;
n = 4–7 mice per group.
*P < 0.05, **P < 0.01, for CBS versus Sham;
$P < 0.05, $$P < 0.01,
$$$P < 0.001 for CCI versus Sham. Scale = 250 µm.
HPPL biotherapy for TBI
After characterizing the two TBI models and in particular, our in-house developed CBS
model, we focused on determining the potential benefit of HPPL based therapy. In a first
attempt, we characterized HPPL protein content before testing its potential benefits
in vitro and then using both CCI and CBS in vivo
models.
Growth factor content and global proteomic analysis of HPPL
The preparation process of HPPL from the platelet concentrates is summarized in Fig. 4A. We first evaluated the concentrations of
selected trophic factors including BDNF, PDGF, EGF, HGF, VEGF and TGF-β (Fig. 4B) that were found to be similar to those
described in our previous studies.,,22–24 We extended this characterization
by a global proteomic evaluation. Mass spectrometric analyses detected 1210 proteins in
HPPL (Supplementary Table 2).
The presence of growth factors, cytokines and antioxidants was also confirmed (Supplementary Table 3) as well as
other proteins previously found to exert neuroprotective activity (Supplementary Table 4). We also
performed an enrichment analysis of gene ontology (GO) using DAVID Bioinformatics to
delineate potential cellular processes associated with HPPL content (Fig. 4C). Among others, HPPL content was associated with Wnt
signalling pathway, myelin sheath, cell adhesion, complement activation and response to
reactive oxygen species (ROS)/oxidative stress.
Figure 4
Characterization of HPPL. (A) HPPL preparation procedure.
(B) ELISA dosage of several trophic factors in the HPPL: hepatocyte
growth factor (HGF), vascular epithelial growth factor (VEGF), epidermal growth factor
(EGF), brain-derived neurotrophic factor (BDNF), transforming growth factor -β
(TGF-β), and platelet-derived growth factor subunit-AB (PDGF-AB). The HPPL consisted
of a pool of three batches (n = 3). Values are
expressed as the mean ± SEM. (C) Proteomic analysis of the HPPL using
LC-MS/MS. The panel represents GO analysis with relevant biological processes
represented by the identified proteins. As expected, the HPPL contained detectable
amounts of growth factors and a plethora of bioactive molecules (1210 proteins were
identified in this specific preparation).
Characterization of HPPL. (A) HPPL preparation procedure.
(B) ELISA dosage of several trophic factors in the HPPL: hepatocyte
growth factor (HGF), vascular epithelial growth factor (VEGF), epidermal growth factor
(EGF), brain-derived neurotrophic factor (BDNF), transforming growth factor -β
(TGF-β), and platelet-derived growth factor subunit-AB (PDGF-AB). The HPPL consisted
of a pool of three batches (n = 3). Values are
expressed as the mean ± SEM. (C) Proteomic analysis of the HPPL using
LC-MS/MS. The panel represents GO analysis with relevant biological processes
represented by the identified proteins. As expected, the HPPL contained detectable
amounts of growth factors and a plethora of bioactive molecules (1210 proteins were
identified in this specific preparation).
Efficacy of HPPL in an in vitro wound closure test
We first established the functional activity and lack of cellular toxicity of HPPL using
an in vitro mechanical trauma model of TBI. Human neuroblastoma SH-SY5Y
cells were first differentiated into neuronal-like cells using retinoic acid. A monolayer
of differentiated cells was then scratched, followed by HPPL treatment. The growth of
surviving cells in the wounded area was quantified by measuring the total neurite length
on Day 9, 4 days post-lesion (Supplementary Fig. 2A). There was no detectable sign of toxicity due to HPPL
treatment following HPPL stimulation, as we also demonstrated previously., As shown qualitatively in Supplementary Fig. 2B, neurites in
the scratched area were significantly longer in the HPPL treated condition compared to
untreated cells. We used synaptophysin immunofluorescence to delineate and quantify
neurite length in the wounded area. As shown in Supplementary Fig. 2C and D, HPPL significantly enhanced the scratch
healing by stimulating the extension of cells neurites into the scratched area. By
measuring the length of these neurites in the lesioned area, we illustrated the healing
potential of HPPL.
HPPL improves motor and cognitive functions in TBI mouse models
Animals were lesioned using the CCI and CBS procedures. HPPL was delivered at the end of
the surgical procedure directly on the cortex and then daily through intranasal
administration until DPI6 (Fig. 5A). The beam
and rotarod tests at DPI3 confirmed significantly impaired motor coordination in CCI and
CBS-injured saline mice compared to Sham mice (Fig. 5B and C). In the CCI group, HPPL-treated animals spent a significantly
longer time (P < 0.05) on the rod at DPI3, compared to saline-treated
mice (Fig. 5C). Moreover, in CBS mice, HPPL
administration significantly decreased the time spent to cross the beam test at DPI3
(P < 0.001) and DPI6 (P < 0.01; Fig. 5B) and enhanced latency to fall increased
compared to saline-treated animals (P < 0.05; Fig. 5C). In addition, a longer-term investigation (DPI14) of
the effects of HPPL on short-term memory deficits using the novel object recognition test
evidenced a significant memory alteration of the discrimination index between
saline-treated mice and Sham animals in both TBI models (P < 0.001;
Fig. 5D). HPPL delivery successfully
increased the discrimination index in the CBS group (P < 0.05). The
same trend was seen in HPPL-treated CCI animals, even though statistical significance
difference was not achieved (Fig. 5D). Thus,
besides motor improvement, HPPL also improved longer term memory alterations in TBI
models.
Figure 5
HPPL improves motor and cognitive functions in TBI mouse models. Mice
were subjected to either a CCI injury, CBS injury, or sham surgery (Sham). HPPL
(60 µl) or vehicle alone were applied to the injured area, once the bleeding had
stopped. A 60-µl intranasal administration was then carried out daily for 6 days.
(A) Experimental timeline. (B) The beam test was performed
at DPI3 and DPI6 to investigate motor coordination and balance. (C) The
rotarod test performed at DPI3 and DPI6. Data are presented as the mean ± SEM
(n = 9–14 per group). Significance was determined
by ANOVA followed by Tukey’s post hoc analysis. CCI model:
$P < 0.05 or
$$P < 0.01 for CCI versus Sham;
@P < 0.05 for CCI-saline versus CCI- HPPL. CBS model:
**P < 0.01 CBS compared to Sham;
#P < 0.05 or
##P < 0.01, ###P < 0.001
for CBS-saline versus CBS- HPPL. (D) Six mice per group were also tested
for novel object recognition at DPI14. The discrimination index estimated the ability
of an animal to distinguish a novel object from a familiar one. Data are presented as
the mean ± SEM and an ANOVA followed Tukey’s post hoc analysis.
$$$P < 0.001 for CCI-vehicle versus Sham. ***
P < 0.001 for CBS versus Sham,
#P < 0.05, CBS- HPPL versus CBS-saline.
HPPL improves motor and cognitive functions in TBI mouse models. Mice
were subjected to either a CCI injury, CBS injury, or sham surgery (Sham). HPPL
(60 µl) or vehicle alone were applied to the injured area, once the bleeding had
stopped. A 60-µl intranasal administration was then carried out daily for 6 days.
(A) Experimental timeline. (B) The beam test was performed
at DPI3 and DPI6 to investigate motor coordination and balance. (C) The
rotarod test performed at DPI3 and DPI6. Data are presented as the mean ± SEM
(n = 9–14 per group). Significance was determined
by ANOVA followed by Tukey’s post hoc analysis. CCI model:
$P < 0.05 or
$$P < 0.01 for CCI versus Sham;
@P < 0.05 for CCI-saline versus CCI- HPPL. CBS model:
**P < 0.01 CBS compared to Sham;
#P < 0.05 or
##P < 0.01, ###P < 0.001
for CBS-saline versus CBS- HPPL. (D) Six mice per group were also tested
for novel object recognition at DPI14. The discrimination index estimated the ability
of an animal to distinguish a novel object from a familiar one. Data are presented as
the mean ± SEM and an ANOVA followed Tukey’s post hoc analysis.
$$$P < 0.001 for CCI-vehicle versus Sham. ***
P < 0.001 for CBS versus Sham,
#P < 0.05, CBS- HPPL versus CBS-saline.
HPPL mitigates cortical neuroinflammation in TBI mouse models
The ability of HPPL administration to impact neuroinflammation triggered by the CBS and
CCI procedures was tested by examining differential gene expressions, compared to saline
treatment. As expected, and according to data in Fig. 2, the markers studied were found to be upregulated in the cortex of
TBI-saline animals compared to Sham animals at DPI7 (Fig. 6A and B). In CCI animals, following HPPL administration, we observed a
significant (P < 0.05–0.001) downregulation of Il1b
and chemokines (Ccl3, Ccl4, Ccl5) as
well as of Tlr4, Cd68, Trem2,
Vim, and Gfap glial markers compared to the
saline-treated group (Fig. 6A). In the CBS
model, HPPL administration led to decreased expression of Tnfa,
Ccl4, Tlr4, Cd68,
Trem2 and Gfap (P < 0.05–0.001)
compared to saline-treated animals (Fig. 6).
Expression of Il1b, Ccl3, Ccl4,
Ccl5, Tlr2, C1qa, and
Vimwere also decreased but without reaching significance. In addition,
GFAP and Iba-1 immunofluorescence showed decreases in their levels following HPPL
administration in both TBI groups (P < 0.05–0.001; Supplementary Fig. 3A and B),
suggestive of reduced neuroinflammatory processes, in line with mRNA studies (Fig. 6).
Figure 6
HPPL mitigates cortical neuroinflammation in TBI mouse models. Mice were
injured by CBS or CCI, then treated immediately after the injury with either 60 µl
topical HPPL or vehicle, followed by a daily intranasal administration until DPI6.
One-week post-injury, mice were sacrificed, the ipsilateral cortex was dissected, and
cytokine, chemokine, and glial marker mRNA levels quantified by RT-qPCR.
Transcriptional analysis of inflammatory markers
(n = 7–8 mice per group) in the CCI model
(A) and the CBS model of TBI (B). As expected, most of the
markers’ studies were upregulated in saline-treated mice compared to sham-treated
mice. HPPL administration significantly downregulated several of the inflammatory
markers raised by CCI or CBS. Data are reported as the mean ± SEM;
$$P < 0.01,
$$$P < 0.001 for CCI-vehicle versus
Sham; @P < 0.05,
@@P < 0.01, @@@P < 0.01
for CCI+ saline versus CCI+HPPL; *P < 0.05,
**P < 0.01, ***P < 0.001 for CBS versus
Sham, #P < 0.05,
##P < 0.01, ##P < 0.001
CBS+ saline versus CBS + HPPL, by a one-way ANOVA followed by Tukey’s post
hoc test.
HPPL mitigates cortical neuroinflammation in TBI mouse models. Mice were
injured by CBS or CCI, then treated immediately after the injury with either 60 µl
topical HPPL or vehicle, followed by a daily intranasal administration until DPI6.
One-week post-injury, mice were sacrificed, the ipsilateral cortex was dissected, and
cytokine, chemokine, and glial marker mRNA levels quantified by RT-qPCR.
Transcriptional analysis of inflammatory markers
(n = 7–8 mice per group) in the CCI model
(A) and the CBS model of TBI (B). As expected, most of the
markers’ studies were upregulated in saline-treated mice compared to sham-treated
mice. HPPL administration significantly downregulated several of the inflammatory
markers raised by CCI or CBS. Data are reported as the mean ± SEM;
$$P < 0.01,
$$$P < 0.001 for CCI-vehicle versus
Sham; @P < 0.05,
@@P < 0.01, @@@P < 0.01
for CCI+ saline versus CCI+HPPL; *P < 0.05,
**P < 0.01, ***P < 0.001 for CBS versus
Sham, #P < 0.05,
##P < 0.01, ##P < 0.001
CBS+ saline versus CBS + HPPL, by a one-way ANOVA followed by Tukey’s post
hoc test.
HPPL mitigates synaptic impairments in the cortex of TBI mice
As expected, animals from CCI and CBS-saline groups exhibited a significant
(P < 0.05–0.001) loss of pre- (SNAP25, Munc-18, SYP) or postsynaptic
(PSD-95) proteins compared to Sham animals (Fig. 7A–D). Higher expressions of synaptophysin (ELISA) and PSD-95 (western blot
analysis) and Munc-18 were observed in the cortex of CCI+HPPL-treated animals compared to
saline-treated mice. In the CBS model, levels of SNAP-25, synaptophysin (ELISA) and
Munc-18 levels were significantly higher (P < 0.01) in the
HPPL-treated group compared to the saline group. Overall, these data indicated that, in
both the CCI and CBS models, HPPL treatment mitigated the loss of cortical synaptic
proteins.
Figure 7
HPPL mitigates synaptic impairments in the cortex of TBI mice. Western
blot analysis of synaptic proteins at DPI7 in the CCI (A) and CBS
(C) models. Densitometric analysis showing the differential expression
of the tested proteins (B and D, top).
ELISA analysis of three synaptic proteins (B and D,
bottom). The results confirmed loss of synaptic proteins following
TBI and demonstrated the protection by HPPL. Data are expressed as mean ± SEM.
$P < 0.05, $$P < 0.01,
$$$P < 0.001 for CCI versus Sham,
@P < 0.05, @@P < 0.01
for CCI versus CCI+HPPL. *P < 0.05, **P < 0.01
for CBS versus Sham; #P < 0.05,
##P < 0.01 for CBS versus CBS+ HPPL by a one-way
ANOVA followed by Tukey’s post hoc test.
HPPL mitigates synaptic impairments in the cortex of TBI mice. Western
blot analysis of synaptic proteins at DPI7 in the CCI (A) and CBS
(C) models. Densitometric analysis showing the differential expression
of the tested proteins (B and D, top).
ELISA analysis of three synaptic proteins (B and D,
bottom). The results confirmed loss of synaptic proteins following
TBI and demonstrated the protection by HPPL. Data are expressed as mean ± SEM.
$P < 0.05, $$P < 0.01,
$$$P < 0.001 for CCI versus Sham,
@P < 0.05, @@P < 0.01
for CCI versus CCI+HPPL. *P < 0.05, **P < 0.01
for CBS versus Sham; #P < 0.05,
##P < 0.01 for CBS versus CBS+ HPPL by a one-way
ANOVA followed by Tukey’s post hoc test.
HPPL induces a reduction in reactive oxygen species levels and enhances antioxidant
defence in the cortex of TBI mice
Oxidative stress worsens neuronal damage after a TBI. We therefore investigated whether
HPPL treatment potentially attenuated oxidative stress by focusing on the mRNA expression
of enzymes involved in the antioxidant response. RT-qPCR evaluations (Supplementary Fig. 4A and B)
indicated a significant (P < 0.05–0.001) increase in the expression of
Gpx1, Ho-1 (Hmox1) and Nqo1 in
HPPL-treated CCI animals compared to saline-treated animals. In the CBS group, HPPL
treatment led to a significant increase of Ho-1, Sod1,
Gpx1, Sod2, and Nqo1 followed the
same trend without reaching statistical significance. Additionally, using a
lucigenin-enhanced chemiluminescence assay, we determined NADPH oxidase-mediated
superoxide radical (O2−) production. A significant 3-fold increase
(P < 0.001) of NADPH oxidase-dependent superoxide ion production was
found in the ipsilateral cortex of CBS mice compared to Sham mice, that returned to basal
level in HPPL-treated animals (P < 0.01; Supplementary Fig. 4B).
Proteomic cortical changes induced by HPPL in TBI models
We finally performed a proteomics analysis to determine the global impact of HPPL on TBI
pathophysiology using a non-driven hypothesis analysis. Samples derived from the cortices
of DPI7 Sham, CCI and CBS mice treated with either saline or HPPL were analysed. First, we
compared the cortical proteins impaired by both TBI procedures compared to Sham animals.
The changes in protein levels were considered significant with fold change > 2
(upregulated) or < 0.5 (downregulated). As shown in Fig. 8A, TBI procedures induced change in a large number of
cortical proteins: 634 for CCI and 817 for CBS. Notably, most of the changes were due to
protein upregulations: 503 of 634 changes (79.3%) in CCI animals and 761/817 (93.1%) in
CBS animals. Three hundred and forty-three of those were found upregulated in both the CCI
and CBS groups (Fig. 8A). Functional
annotation identified that these 343 common upregulated proteins found in both TBI models
belong to pathways related, for instance, to exosomes, focal adhesion, mitochondria,
cytoskeleton and lipid metabolism (Supplementary Fig. 5A). Interestingly, according to our abovementioned data,
several markers, such as CD44, vimentin and GFAP, were found to be highly upregulated,
suggestive of astrogliosis as well as microglial C1q protein, involved in synaptic loss.
The list of the common upregulated proteins is provided in Supplementary Table 5.
Figure 8
Quantitative proteomics highlights differentially regulated proteins following
CBS and CCI injury models as well as the impact of the HPPL
treatment. To investigate the effect of HPPL on the overall expression of
proteins in lesioned cortical tissues, a proteomics analysis was performed with
cortical tissues from treated, untreated, and sham-operated (Sham) mice
(n = 8). The tissue was collected at 7 days
post-injury. (A) The number of dysregulated proteins (red = number of
upregulated proteins, green = downregulated) following the TBI procedures. Venn
diagram of differentially expressed proteins in CCI versus Sham and CBS versus Sham
indicates that the majority of the differentially expressed proteins are upregulated
in the two models of TBI, and 343 proteins among them are in common. (B)
Venn diagram of differentially expressed proteins in CCI-HPPL versus CCI and CBS-HPPL
versus CBS. The results indicate that HPPL biotherapy successfully reversed the
expression of 337 proteins in CCI mice, and 1635 in CBS. Among the proteins
downregulated by HPPL, 232 were common to CCI and CBS. (C) Venn diagram
showing proteins upregulated in both CBS versus Sham and CCI versus Sham, and
downregulated in both CCI-HPPL versus CCI, and CBS-HPPL versus CBS. There were 41
proteins in common between the four conditions. (D) Protein–Protein
Interaction (PPI) network analysis performed using STRING database highlighting
proteins initially upregulated following CCI and CBS injury and downregulated by HPPL
treatment. Two functional networks were found with this analysis: fatty acid
biosynthesis process and translation.
Quantitative proteomics highlights differentially regulated proteins following
CBS and CCI injury models as well as the impact of the HPPL
treatment. To investigate the effect of HPPL on the overall expression of
proteins in lesioned cortical tissues, a proteomics analysis was performed with
cortical tissues from treated, untreated, and sham-operated (Sham) mice
(n = 8). The tissue was collected at 7 days
post-injury. (A) The number of dysregulated proteins (red = number of
upregulated proteins, green = downregulated) following the TBI procedures. Venn
diagram of differentially expressed proteins in CCI versus Sham and CBS versus Sham
indicates that the majority of the differentially expressed proteins are upregulated
in the two models of TBI, and 343 proteins among them are in common. (B)
Venn diagram of differentially expressed proteins in CCI-HPPL versus CCI and CBS-HPPL
versus CBS. The results indicate that HPPL biotherapy successfully reversed the
expression of 337 proteins in CCI mice, and 1635 in CBS. Among the proteins
downregulated by HPPL, 232 were common to CCI and CBS. (C) Venn diagram
showing proteins upregulated in both CBS versus Sham and CCI versus Sham, and
downregulated in both CCI-HPPL versus CCI, and CBS-HPPL versus CBS. There were 41
proteins in common between the four conditions. (D) Protein–Protein
Interaction (PPI) network analysis performed using STRING database highlighting
proteins initially upregulated following CCI and CBS injury and downregulated by HPPL
treatment. Two functional networks were found with this analysis: fatty acid
biosynthesis process and translation.Importantly, when we compared the cortical proteins modulated by the HPPL treatment in
both TBI models, we observed that most of the changes observed were due to protein
downregulation. Indeed, as shown in Fig. 8B,
HPPL induced change in 446 proteins in the CCI model, 337 (75.5%) being downregulated; in
the CBS model, HPPL induced change in 1708 proteins, 1635 (95.7%) being downregulated. Two
hundred and thirty-two were found to be downregulated by HPPL in both the CCI and CBS
models (Fig. 8B). Functional annotation
identified that several of the pathways downregulated by HPPL were common to pathways
found to be upregulated by TBI (Supplementary Fig. 5B, red bars). In other words, HPPL reversed several pathways
promoted by both CCI and CBS and related to transport, postsynaptic density, mitochondria
or lipid metabolism. Moreover, we sought for a particular signature upregulated in both
TBI models, which was reversed and therefore downregulated by the HPPL treatment. As shown
in Fig. 8C, we found a group of 41 proteins
fulfilling this criterion that we analysed using STRING (functional protein association
networks tool, https://string-db.org). As shown in Fig. 8D, some of these 41 proteins belong to
functional networks associated with translation and fatty acid biosynthesisFinally, considering the links between both TBI models and neuroinflammatory processes,
we also compared our proteomics data to two recent uncovered (transcriptomic) signatures
of disease-associated microglia (DAMs) and astrocytes (DAAs). Among the 471 upregulated DAM markers, signing pathological
phenotype of microglia, 25 and 38 were found to be upregulated in the cortex of CCI and
CBS animals, respectively (Supplementary Fig. 6A). Among these, two and 23 were downregulated,
respectively, in HPPL-treated animals. Importantly, most of these downregulated 23
proteins belonged to the STRING network related to ribosomes (Supplementary Fig. 6B), in
accordance with the network uncovered in Fig. 8D. Moreover, among the 239 upregulated DAA markers, 44 and 38 were
upregulated in the cortex of CCI and Scratch animals, respectively (Supplementary Fig. 6A). Among them,
two and 15 markers were downregulated in HPPL-treated animals, respectively. HPPL
therefore mitigated DAM and DAA changes triggered by brain damage, particularly in the CBS
model. These data further highlight the overall ability of HPPL to reduce the
neuroinflammatory load, notably in the most severe conditions. Overall, our proteomic data
highlight that HPPL is prone to reverse several pathological cortical pathways induced by
two TBI procedures that may favour synaptic degeneration, neuroinflammation and ultimately
behavioural impairments.
Discussion
TBIs have a complex multifaceted progressive pathology, potentially leading to chronic
long-term cognitive defects,
for which treatments are still lacking. Excessive neuroinflammation, development of
oxidative stress, and neuroendocrine dysfunctions are among key contributors to neuronal
deaths and disabilities associated with TBI. Promoting neuro-regeneration and restoration of
neurological functions in an injured brain remains extremely challenging. In the search for effective
treatments, several recent lines of evidence suggest that platelet proteome may emerge as a
potent novel biotherapy for treating neurological disorders, based on its abundant contents of pleiotropic neurotrophic and
angiogenic factors, among other active biomolecules. Herein, for the first time, we examined the efficacy of the HPPL
applied topically and subsequently delivered intranasally to exert neuroprotective and
neurorestorative actions following a TBI in mice. With this goal in mind, we used two
in vivo models of TBI based on different triggers and outcomes, in order
to capture potential benefits of the HPPL in a context of unpredictable pathophysiological
events associated with this very diverse and complex pathology. The well established CCI
model was used to mimic a mild TBI resulting from a concussion, whereas we developed and characterized a novel
in vivo scratch injury assay of the cortex (CBS) to capture the
pathophysiological cascade of events associated with a penetrating trauma. Indeed, one
single experimental model is unable to fully mimic the TBI pathophysiology, and several
experimental models are therefore needed to address the underlying complex disease
mechanisms. Using the same approach as that used in the in vitro scratch
assay, we developed a simple and affordable in vivo scratch injury model
for drug screening and to address the multifaceted nature of TBIs. The CBS model was
performed by exposing the dura mater and precisely scratching the exposed brain with two
controlled parallel injuries for optimal standardization. The CBS injury triggered important
pathophysiological cortical changes including glial activation, oxidative stress, and
synaptic impairments ultimately translated into motor deficits but also long-term memory
impairment (Fig. 6D). The overall detrimental
pathophysiological and behavioural effects of CBS compared to Sham animals were obvious,
and, more pronounced than those resulting from mild injury induced by the controlled
pneumatic CCI impactor, as attested by the larger cortical lesion or proteomic changes. As
targeted, both the CBS and CCI models provided well-identified quantitative biochemical and
motor function readouts to characterize the functional capacity of HPPL treatment to
modulate the TBI pathology.The HPPL used in this study was prepared from clinical grade platelet concentrates and
characterized by ELISA and an LC/MS proteomics analysis. These analyses showed the presence
of classical neurotrophins and neuroprotective cytokines including BDNF, EGF, HGF, VEGF,
PDGF, a neuron and glial growth regulator (glia maturation factor beta), less known neuroprotective factors
(TIMP-1, Neurabin-2 etc.), antioxidative agents (catalase, glutathione S-transferases, SOD,
guanase), and
anti-inflammatory molecules TGF-β, fibroblast growth factor (FGF), insulin-like growth
factor (IGF), etc. This is in line with previous characterization of the HPPL by ELISA that
established its high contents of neurotrophic, angiogenic, and anti-inflammatory growth
factors such as PDGF, BDNF, β-FGF, VEGF, and TGF-β1.,,, Here, we also provide a more extensive characterization of HPPL
using proteomics. As revealed by the GO term analysis, bioactive proteins in the HPPL are
involved in several biological processes including vascular regeneration, wound healing,
metabolic processes, immune response, vesicle-mediated transport, protein transport, etc.
This complex proteome can therefore exert unique potent synergistic functional activities
contributing to neuroprotection and neurorestoration, consistent with previous reports. In addition, the HPPL
chemical composition has recently been published and we have found that it contains over 1011
extracellular vesicles/ml (unpublished results). Extracellular vesicles derived from
platelets may exert important functional activities and may contribute to diffusion of neurotrophic factors and repair
of damaged cells in the brain., We are conducting further studies to determine the possible
contribution of extracellular vesicles to the functional activity of HPPL. In addition, the
efficacy of HPPL may also reside in the presence of various neurotransmitters, including
GABA, serotonin, glutamate, or dopamine, which are known to be stored in platelets, as
reviewed recently, and, like
serotonin, to decrease oxidative stress.The functionality of HPPL was first evaluated in an in vitro TBI model
using differentiated neuronal cells. HPPL treatment efficiently stimulated neurite outgrowth
as revealed by the extension of cells into the wounded area compared to untreated cells.
These data confirm our previous studies using non-differentiated neuronal cells, where HPPL
treatment led to morphological changes reflective of their differentiation as well as
enhanced expression of the β3-tubulin marker of differentiated neurons. Altogether these in vitro data
provided evidence of the capacity of HPPL to trigger neuronal differentiation and repair
TBI-like injuries, with reorganization of neuronal branching and building of new synapses,
which promote functional recovery. These data encouraged us to evaluate the HPPL in TBI animal models.
In both in vivo TBI models evaluated herein, sequential treatment with
60 µl of topical HPPL deposited in the injured cortex area, first, followed by six daily
pulses of 60 µl intranasal delivery provided potent functional effects reflected by the
significant downregulation of multiple markers of glial response and neuroinflammation in
the cortex. Neuroprotective and neurorestorative capacity of such HPPL treatments were
suggested by changes in the levels of pre- and postsynaptic markers. Furthermore, an
antioxidative effect of HPPL was found in the ipsilateral cortex as illustrated by
stimulation of the transcription of the antioxidant enzymes HO-1, NQO-1, and GPx, which are
also known as detoxification agents. This finding also provides a link to the nuclear factor-erythroid
2-related factor 2 (Nrf2), which promotes the transcriptional activation of HO-1, GST,
NADPH, NQO-1 and SOD. Therefore,
the antioxidative effect of HPPL may likely be due to a direct supply of bioactive molecules
leading to upregulation of antioxidant enzymes or through activation of the Nrf2 pathway,
which is known to be involved in antioxidant actions., These interesting results suggest that the HPPL can prevent
secondary damage in the early-stage post-injury by protecting cells from lipid
peroxides.Our proteomic studies highlight the diversity of pathways associated with the HPPL
restorative potential, fitting perfectly with the concept of a multitargeting biotherapy
providing synergistic neuroprotective, anti-inflammatory, antioxidative, and
neurorestorative activities. We performed two proteomic studies: the analysis of HPPL itself
as well as the analysis of cortical changes promoted by the HPPL in the TBI context. On the
one hand, the GO term annotation arising from the HPPL analysis supported the HPPL
proteome’s involvement in several biological and molecular functions including Wnt
signalling pathway, myelin sheath, T-receptor signalling pathways, response to reactive
oxygen species, etc. For instance, the Wnt pathway is associated with the regulation of
critical biological processes including neurogenesis, synaptogenesis, neuronal plasticity,
synaptic plasticity, angiogenesis, vascular stabilization, and inflammation., This pathway was also reported to be involved in
neuroprotection and neurorestoration following TBI, and therefore could
explain the ability of HPPL to support differentiation of neuronal cells and exert
neuroprotective activity. On the
other hand, the analysis of cortical proteome changes afforded by HPPL in both TBI models
clearly revealed its ability to downregulate many proteins/pathways linked to inflammation,
synapses or mitochondria, which are initially upregulated post-injury, and confirmed, at a
larger scale, our targeted gene expression analyses and biochemical studies. The common
proteins downregulated by HPPL in both CCI and CBS belong to a functional network related to
fatty acid biosynthesis (Fig. 8D). These fatty
acids are known for their ability to induce significant failures in various pathways related
to energy metabolism. Their
levels are usually elevated following TBI., Therefore, our finding suggests that HPPL might contribute to reduce
lipotoxicity and, therefore, to limit energy failure and mitochondrial dysfunction. The
diversity of the pathways associated with the neuroprotective activity of the platelet
lysate was also illustrated by the ability of HPPL to modulate neuroinflammation processes
by explicitly targeting the DAM and DAA (disease-associated micro glia and astrocytes)
signatures. Interestingly, we observed that 12 of the 23 DAM genes downregulated by HPPL in
the CBS model belonged to a network associated to ribosome annotation (Supplementary Fig. 6B). This is in
agreement with the observation that some of the 41 proteins upregulated in both TBI models
and downregulated by HPPL in the two models belong to a network associated with translation
(Fig. 8D). While the functional significance
of this observation remains to be elucidated, recent works have highlighted that
inappropriate microglial translation strongly perturbates neural networks and behaviour in
mice. All these positive
effects of HPPL converged to functional improvements attested by behavioural tests. The
latter revealed that HPPL treatment led to a significant improvement not only of motor
functions, notably coordination, but also corrected memory impairment.Functional improvements provided by the platelet proteome correlate with the physiological
repair mechanisms of the injury microenvironment seen, for instance, in the use of a single
trophic factor leading to behavioural recovery subsequent to a TBI. Our data corroborate findings that an intracranial
injection of a human platelet lysate stimulated neurogenesis and angiogenesis in a rat model
of ischaemic stroke and could also enhance motor functions. Such beneficial effects could reflect prosurvival
and anti-apoptotic actions exerted on endogenous neural progenitor cells. The human platelet proteome, which
is rich in a range of neurotrophic factors, may also potentially promote neurogenesis by
differentiation of the neurogenic niche, thereby stimulating neurogenesis in the dentate
gyrus of the hippocampus. The
human platelet proteome in cellular models of amyotrophic lateral sclerosis and Parkinson’s
disease protected against apoptosis and ferroptosis cell death through Akt and
mitogen-activated protein kinase (MEK) signalling,,, enhanced expressions of tyrosine hydroxylase (TH) and
neuron-specific enolase (NSE) in LUHMES cells, was strongly neuroprotective of primary neurons exposed to
elastin, and decreased
microglial inflammation after lipopolysaccharide stimulation and induction of neuronal cell
differentiation. The
observation that HPPL administration resulted in biochemical and behavioural improvements in
two distinct animal models suggests a broad therapeutic utility for both mild and
intermediate TBIs. We propose that one treatment modality could include a single topical
cranial administration, in cases of penetrating injury characterized by a breach of the
skull and dura as in our CBS model, followed by intranasal administration. Alternatively,
intracerebroventricular delivery (for prolonged therapy in severe cases) may be one
alternative option to be evaluated in preclinical TBI models.In conclusion, the HPPL exerted strong modulatory control of detrimental excessive
inflammation and oxidative effects associated with a TBI, protected against neuronal damage,
and improved motor neuron behaviour in two animal models. As such, the human platelet
proteome may emerge as a pragmatic biotherapeutic approach to treat brain trauma, stroke,
and other neurological disorders, as recently suggested.,, Such clinical applications in neurology are supported by the fact
that platelet concentrates for transfusion, which are used as raw materials for preparing
the platelet lysate, are an already licensed essential medicine for adults and children,
with known quality and safety profiles and available at a global level.Click here for additional data file.
Authors: Angel García; Sripadi Prabhakar; Chris J Brock; Andrew C Pearce; Raymond A Dwek; Steve P Watson; Holger F Hebestreit; Nicole Zitzmann Journal: Proteomics Date: 2004-03 Impact factor: 3.984
Authors: Justin M Smith; Precious Lunga; David Story; Neil Harris; Janel Le Belle; Michael F James; John D Pickard; James W Fawcett Journal: Brain Date: 2007-02-09 Impact factor: 13.501