NF-κB activation and cell death after intracerebral hemorrhage in patients
Transcript of NF-κB activation and cell death after intracerebral hemorrhage in patients
ORIGINAL ARTICLE
NF-jB activation and cell death after intracerebral hemorrhagein patients
Zeli Zhang • Yuguang Liu • Qibing Huang •
Yuxing Su • Yuan Zhang • Guanghui Wang •
Feng Li
Received: 2 December 2013 / Accepted: 23 January 2014
� Springer-Verlag Italia 2014
Abstract Nuclear factor-jB (NF-jB) plays an important
role in secondary damage after intracerebral hemorrhage
(ICH). We explored NF-jB activation and the relationship
between NF-jB and cell death in the perihematomal brain
tissue of patients after ICH. According to the interval
between onset of hemorrhage and specimen collection, 53
cases of patients with basal ganglia hemorrhage were
divided into six experimental groups: 0–6, 7–12, 13–24,
25–48, 49–96, and [96 h group. Brain tissues of the
experimental groups and control group were collected. IL-
1b, TNF-a, and NF-jB p65 expressions at the protein level
were detected by immunohistochemistry. Cell death was
detected by terminal deoxynucleotidyl transferase-medi-
ated dUTP-biotin nick end labeling (TUNEL) assay. All of
the detection items of immunohistochemistry and TUNEL
showed significant differences between the experimental
groups and control group. At the protein level, nuclear NF-
jB p65, IL-1b, and TNF-a achieved maximum values at
13–48, 0–24, and 13–48 h, respectively. Maximum cell
death was reached at 13–48 h. NF-jB activation increased
dramatically in perihematomal brain tissue after ICH. NF-
jB activation was closely related with cell death and had
an important function in secondary brain damage after ICH
in patients.
Keywords Intracerebral hemorrhage � NF-jB � IL-1b �TNF-a � Cell death
Introduction
Intracerebral hemorrhage (ICH) is one of the most common
diseases that threaten the health of the elderly [1]. It is the
least treatable form of stroke and is associated with high
mortality rates [2]. To date, no effective method has been
found to treat the neurological deficit caused by ICH [3, 4].
A series of pathophysiological changes in brain tissue
arise after ICH. Previous studies revealed that a large
number of inflammatory cells surround the hematoma in
the rat model of ICH and the inflammatory response is an
important mechanism of secondary brain damage after ICH
[5, 6].
Nuclear factor-jB (NF-jB) has been recognized as a
critical regulator of inflammatory responses since its dis-
covery [7]. In unstimulated cells, inactive NF-jB is
sequestered in the cytoplasm by inhibitory protein IjB.
NF-jB can be activated by a wide array of factors such as
TNF-a, IL-1, oxidative stress, and growth factors [8]. After
activation, the free NF-jB rapidly migrates into the
nucleus, binds to DNA, and promotes the transcription of
genes for the release of proinflammatory substances. So
NF-jB plays a major role in the inflammatory response [9].
Previous studies on ICH animal models indicate that
NF-jB activation increases after ICH and is closely related
to perihematomal cell death [10–14]. However, no sys-
tematic study has been conducted on NF-jB activation in
the perihematomal brain tissue of patients after ICH and on
the relationship between NF-jB activation and cell death.
In this study, we observed 53 ICH patients, studied the
clinical data and perihematomal brain tissue, and analyzed
Z. Zhang � Q. Huang � Y. Su � Y. Zhang � G. Wang
Department of Emergency Surgery, Qilu Hospital of Shandong
University, Jinan 250012, Shandong, People’s Republic of China
Y. Liu (&) � F. Li (&)
Department of Neurosurgery, Qilu Hospital of Shandong
University, Jinan 250012, Shandong, People’s Republic of China
e-mail: [email protected]
F. Li
e-mail: [email protected]
123
Neurol Sci
DOI 10.1007/s10072-014-1657-0
NF-jB activation, TNF-a and IL-1b expressions, and the
relationship between NF-jB activation and cell death.
Materials and methods
Clinical data and grouping
A total of 53 patients hospitalized with basal ganglia
hemorrhage from November 2010 to November 2012 were
selected as the experimental cases. For all 53 cases, the
hematoma volume was 40 to 80 mL, and hematoma
evacuation operation was conducted along the non-func-
tional cortex. The patients in this study included 33 males
(62.26 %) and 20 females (37.74 %) aged 30–70 years,
with an average age of 56.7 years. According to the time
interval between the onset of hemorrhage and specimen
collection, the 53 cases were divided into six experimental
groups (Table 1). A total of eight patients with benign
disease and requiring neuroendoscope operations were
selected as the control group (Ctrl), including two cases of
intraventricular cyst, five cases of obstructive hydroceph-
alus, and one case of intraventricular meningioma. The Ctrl
group included five males and three females aged
30–69 years, with an average age of 54.3 years. Exclusion
criteria were established to eliminate factors that may
affect the study, including bleeding, inflammation, trauma,
surgery, use of drugs that affect the immune system (such
as ibuprofen, hormones, etc.), and the presence of under-
lying diseases within the previous month.
Ethics approval
The study protocol was approved by the ethics committee
of the hospital. All patients’ families received a
comprehensive description of the study and gave a written
informed consent for their relatives’ participation.
Specimen collection
Brain tissue located 1 cm away from the hematoma was
collected from the experimental groups, and tissue at the
junction of the gray and white matter was collected during
surgery from the Ctrl group. 0.5 cm3 of brain tissue was
collected per patient. The brain tissue was quickly fixed
with 10 % formalin and embedded in wax for immuno-
histochemistry and detection of cell death.
Immunohistochemistry
Immunohistochemical analysis was conducted using the
following primary antibodies: anti-NF-jB p65 antibody
(B7162 rabbit polyclonal, ANBO, USA), anti-IL-1b anti-
body (AP8531c rabbit polyclonal, ABGENT, USA), and
anti-TNF-a antibody (ab9579 mouse monoclonal, Abcam,
USA). Firstly, the tissue sections (4 lm thick) were de-
waxed, rehydrated, rinsed with distilled water and PBS,
repaired with EDTA, quenched with 3 % H2O2, exposed to
primary antibodies, and incubated at 4 �C overnight. Sec-
tions were then washed with PBS, incubated in polymer
helper for 25 min at room temperature, washed again, and
incubated with non-biotin rabbit/mice hypersensitivity two-
step secondary antibody (PV-9001/9002, GBI, USA) for
25 min at room temperature. Finally, the sections were
stained with diaminobenzidine–H2O2 solution, washed,
dehydrated in graded ethanol, immersed in xylene, and
covered with a coverslip.
The sections were observed under the light microscope
by five professors of pathology, and the positive cells and
cell types were identified. A total of five no-repeat fields
Table 1 Grouping of all cases and numbers of positive cells in immunohistochemistry and TUNEL detection
Group Time intervala Cases Immunohistochemistry TUNEL
Nucleus NF-jB p65 IL-1b TNF-a
A 0–6 h 8 35.4 ± 11.7� 50.7 ± 10.8b 27.7 ± 6.7� 28.5 ± 11.7�
B 7–12 h 14 54.4 ± 14.1# 48.2 ± 9.9 34.4 ± 9.9# 51.3 ± 13.3�
C 13–24 h 12 71.2 ± 16.7b 45.5 ± 12.7 43.5 ± 10.0 69.2 ± 13.3
D 25–48 h 8 64.4 ± 13.9 39.4 ± 7.5# 46.1 ± 12.9b 72.2 ± 15.0b
E 49–96 h 6 38.3 ± 13.8� 32.0 ± 9.2� 27.0 ± 8.9� 55.3 ± 13.2#
F [96 h 5 23.4 ± 10.0� 22.2 ± 7.1� 18.2 ± 7.3� 36.6 ± 11.8�
Ctrl 8 10.3 ± 3.2� 10.0 ± 3.7� 8.0 ± 3.4� 8.2 ± 3.7�
# P \ 0.05 and � P \ 0.01 indicate significant difference compared with the highest expression groupa The time interval between onset and specimen collectionb The highest expression group
Neurol Sci
123
(4009 high magnification) were randomly selected.
Nucleus NF-jB p65-positive cells and IL-1b and TNF-a-
positive cells were calculated, and the numbers of positive
cells in the five fields were recorded.
Terminal deoxynucleotidyl transferase-mediated
dUTP-biotin nick end labeling (TUNEL) assay
DNA fragment was detected with the TUNEL assay. Tis-
sue sections were deparaffinized and hydrated, and then
TUNEL assay was performed according to the instructions
provided by the manufacturer (In Situ Cell Death Detection
Kit, POD, Roche, Germany). After being incubated in the
TUNEL reaction mixture and rinsed with PBS, samples
were analyzed in a drop of PBS under a fluorescence
microscope (Olympus BX51, Olympus, Japan) by using an
excitation wavelength from 450 to 500 nm and detection
wavelength from 515 to 565 nm (green). After being
incubated in the DAB substrate solution, rinsed, and
mounted under glass cover slip, the slide was analyzed
under light microscope. Five no-repeat fields (4009 high
magnification) were randomly selected, and the numbers of
positive cells in the five fields were counted and recorded.
Statistical analysis
SPSS 13.0 statistical analysis software and Excel 2003
were used in the statistical analysis and charting. The
variables were shown as mean ± standard deviation. Stu-
dent’s t test and one-way ANOVA were used to evaluate
the results, and Pearson’s correlation coefficient to evaluate
the linear relationship between two variables. Statistical
significance was set at P \ 0.05.
Results
Immunohistochemistry detection of nucleus NF-jB
p65-positive cells, IL-1b, and TNF-a-positive cells
Immunohistochemical detection of the experimental groups
showed that NF-jB p65 was expressed in the nucleus of
Fig. 1 The microscopic images and column chart of NF-jB p65, IL-
1b, and TNF-a expression detected with immunohistochemistry.
Microscopic images (9400) of the experimental groups showed that
NF-jB p65 was expressed in nucleus of neurons and glial cells, while
IL-1b and TNF-a were expressed in the cytoplasm of neurons and
glial cells. The column chart showed the statistical results of the
nucleus NF-jB p65-positive cells, IL-1b-positive cells, and TNF-a-
positive cells in the experimental groups and the control group. Note
that the numbers of nucleus NF-jB p65-positive cells, IL-1b-positive
cells, and TNF-a-positive cells in each experimental group were all
significantly different from the control group, and the expression peak
hours were 13–48, 0–24 and 13–48 h separately. 1 ? indicates
positive-expression neurons, and 2 ? indicates positive-expression
glial cells. *P \ 0.001 indicates very significant difference compared
with the control group; #P \ 0.05 and �P \ 0.01 indicate significant
difference compared with the highest expression group (group C for
nucleus NF-jB p65-positive cells, group A for IL-1b-positive cells,
and group D for TNF-a-positive cells)
Neurol Sci
123
neurons and glial cells (Fig. 1), thus suggesting that NF-jB
was activated and migrated into the nucleus. Significant
differences were observed between each experimental group
and the Ctrl group (P \ 0.001). Nucleus NF-jB p65-positive
cells gradually increased over time after ICH and reached the
highest level in the 13–24 h group, compared with which the
25–48 h group did not show a significant difference
(P [ 0.05) and all the other experimental groups showed
significant differences (P \ 0.05). Thus, the expression peak
hours were 13–48 h (Fig. 1; Table 1).
Both IL-1b and TNF-a were expressed in the cytoplasm
of neurons and glial cells (Fig. 1), and significant differ-
ences were observed between each experimental group and
the Ctrl group (P \ 0.001). The number of IL-1b-positive
cells reached the highest level in the 0–6 h group, compared
with which the 7–12 and 13–24 h groups did not show
significant differences (P [ 0.05) and all the other experi-
mental groups showed significant differences (P \ 0.05).
Thus, the expression peak hours were 0–24 h. TNF-a-
positive cells gradually increased over time after ICH and
reached the highest level in the 25–48 h group, compared
with which the 13–24 h group did not show a significant
difference (P [ 0.05) and all the other experimental groups
showed significant differences (P \ 0.05), suggesting that
the expression peak hours were 13–48 h (Fig. 1; Table 1).
Time-dependent changes of cell death
Cell death was detected by the TUNEL assay. The sections
were observed under a fluorescence microscope (Olympus
BX51) and under an ordinary light microscope after DAB
color development. A large number of TUNEL-positive
cells were observed for the experimental group (Fig. 2a, b).
Significant differences were observed between the experi-
mental groups and Ctrl group (P \ 0.001). The number of
TUNEL-positive cells gradually increased over time after
ICH and reached the highest level in the 25–48 h group,
compared with which the 13–24 h group did not show a
significant difference (P [ 0.05) and all the other experi-
mental groups showed significant differences (P \ 0.05),
suggesting that the peak hours of cell death were 13–48 h
(Fig. 2c; Table 1).
Relationship between cell death and NF-jB activation
The activation peak hours of NF-jB and the expression
peak hours of IL-1b and TNF-a at the protein level were
13–48, 0–24, and 13–48 h respectively. The peak hours of
cell death were 13–48 h, thus suggesting a consistent var-
iation between cell death and NF-jB activation (Fig. 3).
Pearson’s correlation analysis revealed a strong linear
correlation between cell death and NF-jB activation
(P \ 0.0001) (Fig. 4).
Discussion
The pathophysiological changes of the perihematomal
brain tissue are complex after ICH and mainly include
Fig. 2 The microscopic images and column chart of cell death
detected with TUNEL assay. Images of the experimental groups
observed under fluorescence microscope (a 9400) and under ordinary
microscope after DAB color development (b 9400) all showed
TUNEL-positive neurons 1 and glial cells 2. c Column chart of
TUNEL-positive cells in the experimental groups and the control
group. Note that the numbers of TUNEL-positive cells in each
experimental group were all significantly different from the control
group, and the peak hours of cell death were 13–48 h. *P \ 0.001
indicates very significant difference compared with the control group;#P \ 0.05 and �P \ 0.01 indicate significant difference compared
with group D
Fig. 3 Dynamic trends of IL-1b, TNF-a, nucleus NF-jB p65-
positive cells, and TUNEL-positive cells. The results suggested that
the peak hours of the four were 13–48, 13–48, 0–24, and 13–48 h,
respectively. Solid symbols represent the peak hours of expression
Neurol Sci
123
primary and secondary damages. Primary damage is caused
by local brain tissue damage and compression on the sur-
rounding brain tissue, microvasculature, and distant struc-
tures. Reduction of primary damage after ICH is possible
by preventing rebleeding, dehydration, and hematoma
evacuation [15]. Secondary damage after ICH is mainly
caused by the reaction of the perihematomal brain tissue to
the products of hematoma, thus resulting in inflammation,
ischemia, and edema [3, 16, 17]. Secondary damage is
closely related to the outcome of ICH, so finding methods
to reduce the secondary damage around the hematoma is a
popular topic in recent research.
Ubiquitous transcription factor NF-jB is a critical reg-
ulator of inflammatory responses [7]. It has neuropatho-
logical and neuroprotective effects [18]. In ICH rat model
studies [9, 10, 19, 20], NF-jB activation can be detected
from 15 min to 2 h after ICH. Thereafter, activation will
gradually increase, reach its peak at 48 h, and then
decrease. The expression peak times of IL-1b and TNF-awere 3 and 48 h after ICH, respectively.
Previous studies were mostly limited to animal model
experiments. In this study, NF-jB activation and IL-1b and
TNF-a expressions after ICH were detected systematically.
The results showed that the nucleus NF-jB p65-positive
cells in each experimental group were all significantly
different from the Ctrl group, thus indicating that NF-jB
was activated, migrated into the nucleus, and was ready to
promote gene transcription for its downstream cytokines.
The activation peak hours of NF-jB were 13–48 h after
ICH. The expression peak hours of IL-1b and TNF-a at the
protein level were 0–24 and 13–48 h, respectively. All the
results were consistent with the results obtained in exper-
iments on ICH animal models.
Cell death is considered the direct cause of neurological
dysfunction and deterioration after ICH. In ICH rat models,
TUNEL-positive cells were observed in the perihematomal
brain tissue 8 h after ICH and a large number of TUNEL-
positive cells were observed 16 h later [11]. In studies on
patients with ICH, TUNEL-positive cells were found in the
perihematomal brain tissue 1, 2, and 5 days after ICH, and
mainly visible at the region 1.5 cm or farther from the edge
of the hematoma [21].
In this present study, the variation of cell death after
ICH in patients was detected with TUNEL assay. Signifi-
cant differences were found between the experimental
groups and the Ctrl group. TUNEL-positive cells were
found in the perihematomal brain tissue 6 h after ICH. The
TUNEL-positive gradually increased and achieved maxi-
mum values at 13–48 h. Thereafter, the TUNEL-positive
cells gradually decreased in number, but were still visible
96 h after ICH. A consistent variation was observed
between cell death and NF-jB activation. Pearson’s cor-
relation analysis also revealed a linear correlation between
cell death and NF-jB activation, thus indicating the close
relationship between them. Hickenbottom [11] found that
some cells were only positive for NF-jB activation, but
nearly all TUNEL-positive cells were also positive for
activated NF-jB. Previous studies also indicated the rela-
tionship between cell death and the expression of the
downstream cytokines of NF-jB, such as IL-1b and TNF-
a. In the NF-jB activated cells, downstream cytokine IL-
1b can result in brain edema and cell death [22–24] and
TNF-a can destroy the blood–brain barrier, increase brain
edema, and induce cell death [25].
The close relationship between NF-jB activation and
cell death after ICH was obvious. However, it is still
questionable whether NF-jB activation promotes cell
death or NF-jB is a compensatory mechanism to promote
cell survival. Some previous studies proved that NF-jB
activation promoted cell death [8, 12], whereas other
studies suggested that NF-jB activation inhibited cell
death [13, 14]. Clemens [26] indicated that sustained NF-
jB activation could induce nerve cell death, whereas
transient activation might be neuroprotective. To clarify
these issues further, studies are currently being conducted
in our research center.
Acknowledgments This study was supported by the National Nat-
ural Science Foundation of China (81301127) and the Natural Science
Foundation of Shandong Province, P.R. China (ZR2011HQ001).
References
1. Woo D, Broderick JP (2002) Spontaneous intracerebral hemor-
rhage: epidemiology and clinical presentation. Neurosurg Clin N
Am 13:265–279
2. Ciccone A, Pozzi M, Motto C, Tiraboschi P, Sterzi R (2008)
Epidemiological, clinical, and therapeutic aspects of primary
intracerebral hemorrhage. Neurol Sci 29(Suppl 2):S256–S257
Fig. 4 Correlation between TUNEL-positive cells and nucleus NF-
jB p65-positive cells. The scatter plot and the result of Pearson’s
correlation coefficient analysis suggested a positive linear relationship
between the two variables
Neurol Sci
123
3. Hwang BY, Appelboom G, Ayer A et al (2011) Advances in
neuroprotective strategies: potential therapies for intracerebral
hemorrhage. Cerebrovasc Dis 31(3):211–222
4. Sterzi R, Vidale S (2004) Treatment of intracerebral hemorrhage:
the clinical evidences. Neurol Sci 25(Suppl 1):S12
5. Xi G, Keep RF, Hoff JT (2006) Mechanisms of brain injury after
intracerebral haemorrhage. Lancet Neurol 5:53–63
6. Gong C, Hoff JT, Keep RF (2000) Acute inflammatory reaction
following experimental intracerebral hemorrhage in rat. Brain
Res 871:57–65
7. Barnes PJ, Karin M (1997) Nuclear factor-kappaB: a pivotal
transcription factor in chronic inflammatory diseases. N Engl J
Med 336:1066–1071
8. Ridder DA, Schwaninger M (2009) NF-jB signaling in cerebral
ischemia. Neuroscience 158:995–1006
9. Fang H, Wang PF, Zhou Y et al (2013) Toll-like receptor 4
signaling in intracerebral hemorrhage-induced inflammation and
injury. J Neuroinflammation 10:27
10. Zhang X, Li H, Hu S et al (2006) Brain edema after intracerebral
hemorrhage in rats: the role of inflammation. Neurol India
54(4):402–407
11. Hickenbottom SL, Grotta JC, Strong R et al (1999) Nuclear
factor-jB and cell death after experimental intracerebral hemor-
rhage in rats. Stroke 30:2472–2478
12. Hu YY, Huang M, Dong XQ et al (2011) Ginkgolide B reduces
neuronal cell apoptosis in the hemorrhagic rat brain: possible
involvement of Toll-like receptor 4/nuclear factor-kappa B
pathway. J Ethnopharmacol 137:1462–1468
13. Li WL, Yu SP, Chen D et al (2013) The regulatory role of NF-jB
in autophagy-like cell death after focal cerebral ischemia in mice.
Neuroscience 244:16–30
14. Song YS, Lee YS, Narasimhan P et al (2007) Reduced oxidative
stress promotes NF-jB-mediated neuroprotective gene expres-
sion after transient focal cerebral ischemia: lymphocytotrophic
cytokines and antiapoptotic factors. J Cereb Blood Flow Metab
27:764–775
15. Y.Nievas MC, Toktamis S, Haas E et al (2005) Benefits of
adapting minimal invasive techniques to selected patients with
spontaneous supratentorial intracerebral hematomas. Neurol Res
27(7):755–761
16. Yang GY, Betz AL, Chenevert TL et al (1994) Experimental
intracerebral hemorrhage: relationship between brain edema,
blood flow, and blood brain barrier permeability in rats. J Neu-
rosurg 81:93–101
17. Wagner KR, Xi G, Hua Y et al (1996) Lobar intracerebral
hemorrhage model in pigs: rapid edema development in perihe-
matomal white matter. Stroke 27:490–497
18. Wagner KR (2007) Modeling intracerebral hemorrhage: gluta-
mate nuclear factor-jB signaling and cytokines. Stroke
38:753–758
19. Zhao X, Zhang Y, Strong R et al (2007) Distinct patterns of
intracerebral hemorrhage-induced alterations in NF-jB subunit,
iNOS, and COX-2 expression. J Neurochem 101:652–663
20. Aronowski J, Hall CE (2005) New horizons for primary intra-
cerebral hemorrhage treatment: experience from preclinical
studies. Neurol Res 27:268–279
21. Qureshi AI, Suri MF, Ostrow PT et al (2003) Apoptosis as a form
of cell death in intracerebral hemorrhage. Neurosurgery
52(5):1041–1048
22. Holmin S, Mathiesen T (2000) Intracerebral administration of
interleukin-1beta and induction of inflammation, apoptosis and
vasogenic edema. J Neurosurg 92:108–120
23. Rothwell Nancy (2003) Interleukin-1 and neuronal injury:
mechanisms, modification, and therapeutic potential. Brain
Behav Immun 17:152–157
24. Denes A, Pinteau XE, Rothwell NJ et al (2011) Interleukin-1 and
stroke: biomarker, harbinger of damage, and therapeutic target.
Cerebrovasc Dis 32(6):517–527
25. Liu T, Clark RK, McDonnell PC et al (1994) Tumor necrosis
factor-a expression in ischemic neurons. Stroke 25(7):1481–1488
26. Clemens JA, Stephenson DT, Yin T et al (1998) Drug-induced
neuroprotection from global ischemia is associated with preven-
tion of persistent but not transient activation of nuclear factor-jB
in rats. Stroke 29:677–682
Neurol Sci
123