Interleukin-mediated deep cytokine storm, an aggressive inflammatory response to SARS-CoV-2 virus infection in COVID-19 patients, is correlated directly with lung injury, multi-organ failure, and poor prognosis of severe COVID-19 patients. Curcumin (CUR), a phenolic antioxidant compound obtained from turmeric (Curcuma longa L.), is well-known for its strong anti-inflammatory activity. However, its in vivo efficacy is constrained due to poor bioavailability. Herein, we report that CUR-encapsulated polysaccharide nanoparticles (CUR-PS-NPs) potently inhibit the release of cytokines, chemokines, and growth factors associated with damage of SARS-CoV-2 spike protein (CoV2-SP)-stimulated liver Huh7.5 and lung A549 epithelial cells. Treatment with CUR-PS-NPs effectively attenuated the interaction of ACE2 and CoV2-SP. The effects of CUR-PS-NPs were linked to reduced NF-κB/MAPK signaling which in turn decreased CoV2-SP-mediated phosphorylation of p38 MAPK, p42/44 MAPK, and p65/NF-κB as well as nuclear p65/NF-κB expression. The findings of the study strongly indicate that organic NPs of CUR can be used to control hyper-inflammatory responses and prevent lung and liver injuries associated with CoV2-SP-mediated cytokine storm.
Interleukin-mediated deep cytokine storm, an aggressive inflammatory response to SARS-CoV-2 virus infection in COVID-19 patients, is correlated directly with lung injury, multi-organ failure, and poor prognosis of severe COVID-19 patients. Curcumin (CUR), a phenolic antioxidant compound obtained from turmeric (Curcuma longa L.), is well-known for its strong anti-inflammatory activity. However, its in vivo efficacy is constrained due to poor bioavailability. Herein, we report that CUR-encapsulated polysaccharide nanoparticles (CUR-PS-NPs) potently inhibit the release of cytokines, chemokines, and growth factors associated with damage of SARS-CoV-2 spike protein (CoV2-SP)-stimulated liver Huh7.5 and lung A549 epithelial cells. Treatment with CUR-PS-NPs effectively attenuated the interaction of ACE2 and CoV2-SP. The effects of CUR-PS-NPs were linked to reduced NF-κB/MAPK signaling which in turn decreased CoV2-SP-mediated phosphorylation of p38 MAPK, p42/44 MAPK, and p65/NF-κB as well as nuclear p65/NF-κB expression. The findings of the study strongly indicate that organic NPs of CUR can be used to control hyper-inflammatory responses and prevent lung and liver injuries associated with CoV2-SP-mediated cytokine storm.
The severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2),
the causal organism of coronavirus disease-19 (COVID-19), emerged
in December, 2019, and became the most calamitous pandemic of the
21st century.[1] The very high rate of mutation
of SARS-CoV-2 continues to pose challenges to the scientific and medical
professionals worldwide to effectively control the disease. SARS-CoV-2
relates to the β-coronavirus genus with around 79.5% sequence
similarity with the SARS-CoV that appeared in southern China in 2002.[2] The mechanisms so far understood for the COVID-19
progress are characterized by a quick viral replication, resulting
in elevated cytolysis of host cells and a hyper-inflammatory state
due to excessive production of pro-inflammatory cytokines known as
a “cytokine storm” inducing multiple organ damage.[3,4] The cytokine storm is a life-threatening systemic inflammatory syndrome
that involves elevated levels of circulating cytokines and immune-cell
hyperactivation leading to secondary organ dysfunction, particularly
renal, hepatic, or pulmonary. Various pathogens, therapies, cancers,
autoimmune conditions, and monogenic disorders have already been reported
to trigger such a syndrome in humans.[3]Angiotensin-converting enzyme 2 (ACE2), a member of dipeptidyl
carboxypeptidase group, is widely expressed in different human organs
including lungs, kidneys, liver, gut, and vascular systems. It is
recognized as a key entry receptor for SARS-CoV-2.[5] The binding of SARS-CoV-2 surface spike protein (CoV2-SP)
to human ACE2 through its receptor binding domain triggers a series
of physiopathological events including the cytokine storm through
activation of nuclear factor κB (NF-κB) and mitogen-activated
protein kinase (MAPK) by IL-6 trans-signaling.[6,7] This
storm induces several pathological complications, particularly acute
respiratory distress syndrome (ARDS), often found in serious COVID-19
patients.[8,9] The cytokine storm caused by SARS-CoV-2
is characterized by enhanced levels of IL-6, tumour necrosis factor
α (TNF-α), and C–C motif chemokine ligand (CCL2).
The patients with COVID-19-associated ARDS suffer from more organ
and tissue injuries, and have greater mortality than the ARDS not
related to COVID-19.[8,10] Anti-COVID-19 pharmacological
strategy using anti-inflammatory approaches via modulating
IL-6[11] and IL-8[12] has been quite effective. Therefore, discovery of compounds having
the ability to inhibit cytokine storms, and to understand the mechanisms
of their anti-inflammation activity can help development of effective
anti-COVID-19 drugs.Curcumin (CUR), a key dietary polyphenolic
compound predominantly
present in the rhizome of turmeric plant (Curcuma longa L.), exhibits a range of biological activities and medicinal properties
for the treatment of cancer, atherosclerosis, diabetes, obesity, and
microbial infections.[13,14] CUR provides strong anti-inflammatory
effects against the SARS-CoV-2-induced cytokine storm.[15,16] Several pre-clinical and clinical studies have revealed that CUR
and its analogues (e.g., diarylpentanoids) significantly attenuate
the levels of pro-inflammatory cytokines viz., IL-1, IL-6, IL-8, and
TNF-α.[17]However, the anti-inflammatory
effectiveness of CUR is restricted
because of its poor bioavailability.[16] Numerous
approaches have been used to enhance the bioavailability of CUR including
the use of piperine as an adjuvant agent, liposome-based CUR, and
phospholipid CUR complexes.[18] Organic nanoparticle
(NP)-mediated CUR delivery could be an effective approach to increase
its bioavailability, and also sustained and controlled release.[19−21] Organic NPs may enhance the anti-inflammatory potential of CUR and
also minimize the quantity of CUR required. The large surface area
and small size of NPs provide greater stability and can readily internalize
into the cells without compromising its efficacy and integrity. Several
recent investigations using cell lines and animal models suggest that
inorganic NPs of CUR as a therapeutic agent is more powerful than
bulk CUR .[16,18,22] Since organic NPs are nontoxic, biocompatible, biodegradable, and
non-immunogenic, the organic NPs of CUR have the potential to be used
as a safe and effective drug against COVID-19.Therefore, we
investigated the anti-inflammatory efficacy of CUR-encapsulated
polysaccharide NPs (CUR–PS-NPs) targeting the SARS-CoV-2 spike
protein (CoV2-SP)-induced cytokine storm, and compared it with bulk
CUR (B-CUR) in liver and lung epithelial cells. We deciphered the
mechanism(s) of actions underlying the NF-κB signaling inhibition
and MAPK deactivation by CUR that inhibit CoV2-SP-induced cytokine
storms. We also investigated the role of CUR in reducing CoV2-SP-mediated
phosphorylation of p38 MAPK, p42/44 MAPK, p65/NF-κB, and nuclear
p65/NF-κB expression, and release of cytokines, chemokines,
and growth factors linked with the liver and lung epithelial cell
injury.
Results and Discussion
Preparation and Characterization of CUR–PS-NPs
and In Vitro Release Kinetics of CUR
We
used an emulsion
solvent evaporation process to prepare CUR–PS-NPs (Figure a–c).[23] Scanning electron microscopy (SEM) images showed
the uniform spherical shape of the CUR–PS-NPs with particle
size in the range of 18–27 nm (Figure d). The morphology of these NPs was observed
using transmission electron microscopy (TEM). The average size of
CUR–PS-NPs was 22 ± 4 nm, and the particles distributed
uniformly in PS matrix in spherical shapes (Figure a). The mean hydrodynamic size and zeta potential
of CUR–PS-NPs measured through the dynamic light scattering
(DLS) technique revealed that the mean size was 43 ± 5 nm, and
the particles exibited a low (0.52) polydispersity index (PDI), confirming
the formation of monodispersed CUR-PS-NPs (Figure b). Zeta potential/surface charge of the
CUR–PS-NPs was −18 ± 1.6 mV (Figure b). We determined the entrapment efficiency
of CUR in a PS matrix, which was ∼25 ± 2%. In other words,
1 mg of CUR–PS-NPs encapsulated 250 μg of CUR (Figure b). All these data
confirmed that the size of CUR–PS-NPs was within the nanomaterial
range. The observed bigger size in DLS analysis than that in TEM
was attributed to the hydrodynamic size measurement in the former
and the absolute size measurement in the later.[18]
Figure 1
CUR–PS-NPs fabrication scheme. (a) Mixing of CUR and polysaccharide-rich
fraction isolated from the rhizome of turmeric under stirring conditions
at 250 rpm for 120 min. (b) Addition of polyvinyl alcohol solution
(1%) to the mixture of CUR and PS. (c) Prepared CUR–PS-NPs.
(d) SEM image of CUR–PS-NPs.
Figure 2
Characterization
of CUR–PS-NPs. (a) TEM image of CUR–PS-NPs.
Scale bar: 100 nm. (b) Measurement of size by TEM and DLS, entrapment
efficiency, PDI and zeta-potential of CUR–PS-NPs. (c) Percent
release kinetics of CUR from the CUR–PS-NPs. Results are expressed
as mean ± SEM of three individual experiments.
CUR–PS-NPs fabrication scheme. (a) Mixing of CUR and polysaccharide-rich
fraction isolated from the rhizome of turmeric under stirring conditions
at 250 rpm for 120 min. (b) Addition of polyvinyl alcohol solution
(1%) to the mixture of CUR and PS. (c) Prepared CUR–PS-NPs.
(d) SEM image of CUR–PS-NPs.Characterization
of CUR–PS-NPs. (a) TEM image of CUR–PS-NPs.
Scale bar: 100 nm. (b) Measurement of size by TEM and DLS, entrapment
efficiency, PDI and zeta-potential of CUR–PS-NPs. (c) Percent
release kinetics of CUR from the CUR–PS-NPs. Results are expressed
as mean ± SEM of three individual experiments.The Fourier-Transform Infrared Spectroscopy (FT-IR) analysis
revealed
that OH, C–H, and C=O stretching vibrations of PS fraction
peaked at 3429 ± 4, 2923 ± 3 and 1637 ± 3 cm–1, respectively, which got shifted to 3531 ± 5, 3014 ± 4,
and 1703 ± 3 cm–1, respectively, in case of
CUR–PS-NPs, indicating that electrostatic interactions took
place between CUR and PS of C. longa rhizome.[24] CUR–PS-NPs remained
stable even after 12 months of preparation at room temperature.We assessed the release kinetics of CUR from the CUR–PS-NPs
for 170 h in a water and ethanol solution (1:1 ratio) at 37 ±
1 °C. We observed an exponential release up to 72 h achieving
55% of CUR liberation, and in total ∼63% of the entrapped CUR
was released in 170 h (Figure c). These results confirmed the sustained release of CUR
from the CUR–PS-NPs.
CUR–PS-NPs Inhibit Interaction between
Human ACE2 and
CoV2-SP
To examine if CUR–PS-NPs attenuate the interaction
between human ACE2 and CoV2-SP, we used an ELISA-based assay in which
biotinylated purified human ACE-2 protein binds with the immobilized
CoV2-SP.[25] ACE2, a cellular receptor present
on the outer surface of a range of human cells and tissues, is the
first host cell target of CoV2-SP.[26] Thus,
disrupting the interaction between CoV2-SP and ACE2 can be an effective
strategy to design potential drugs.[27] We
used different doses (0.001, 0.01, 0.1, 0.2, 0.5, and 5.0 μM)
of B-CUR and CUR–PS-NPs for this study. CUR–PS-NPs and
B-CUR exhibited a dose-dependent inhibitory effect on the interactions
between ACE2 and CoV2-SP, while PSNPs did not show any significant
effect. However, CUR-PS-NPs at 5 μM concentration showed a
significantly greater inhibitory effect (69.3%) than B-CUR (21.7%)
(Figure a). This
firmly establishes the strong inhibitory effect of CUR–PS-NPs
on the interactions between ACE2 and CoV2-SP.
Figure 3
Impact of CUR–PS-NPs,
B-CUR and PSNPs on human ACE2-CoV2-SP.
(a) Concentration dependent effects of CUR–PS-NPs, B-CUR and
PSNPs on interaction of ACE2 and CoV2-SP were assessed by ELISA and
the results were presented as % inhibition. (b,c) Impact of 24 h treatment
of different doses of CUR–PS-NPs and B-CUR on ACE2 mRNA expression
in (b) Huh7.5 cells and (c) A549 cells was measured by RT-qPCR analysis.
Results are presented as mean ± SEM of six individual experiments.
“*p < 0.05”, “**p < 0.01” and “***p < 0.001”
for unstimulated vs CoV2-SP-stimulated. “@p < 0.05”, “#p < 0.01”
and “$p < 0.001” for CoV2-SP-stimulated vs CUR–PS-NPs/B-CUR treated.
Impact of CUR–PS-NPs,
B-CUR and PSNPs on human ACE2-CoV2-SP.
(a) Concentration dependent effects of CUR–PS-NPs, B-CUR and
PSNPs on interaction of ACE2 and CoV2-SP were assessed by ELISA and
the results were presented as % inhibition. (b,c) Impact of 24 h treatment
of different doses of CUR–PS-NPs and B-CUR on ACE2 mRNA expression
in (b) Huh7.5 cells and (c) A549 cells was measured by RT-qPCR analysis.
Results are presented as mean ± SEM of six individual experiments.
“*p < 0.05”, “**p < 0.01” and “***p < 0.001”
for unstimulated vs CoV2-SP-stimulated. “@p < 0.05”, “#p < 0.01”
and “$p < 0.001” for CoV2-SP-stimulated vs CUR–PS-NPs/B-CUR treated.Inhibition of the CoV2-SP and ACE2 interaction by CUR–PS-NPs
was further assessed in epithelial cells such as Huh7.5 (liver) and
A549 (lung), exposed to 5 nM of CoV2-SP for 24 h following the method
given by Gasparello et al.(28) We analyzed the expression of ACE2 by RT-PCR. The mRNA expression
of ACE2 was significantly decreased in CoV2-SP-exposed lung epithelial
cells, while the ACE2 level was enhanced significantly in CUR–PS-NPs-treated
Huh7.5 and A549 cells (Figure b,c). This confirms that CoV2-SP induces inhibition of ACE2
expression in lung epithelial cells, and CUR-NS-NPs enhance mRNA
expression of ACE2.[7] These results further
confirm that the CUR–PS-NPs have significantly greater potential
to inhibit the interactions between human ACE2 receptor and CoV2-SP
than B-CUR and PSNPs.
Effects of CUR–PS-NPs on Cell Viability
and Internalization
of CUR
In order to assess if the cell viability is a factor
for the observed inhibitory effect of CUR–PS-NPs on the interaction
between human ACE2 and CoV2-SP in epithelial cells, we evaluated the
effects of CUR–PS-NPs and B-CUR (0.1, 0.2, 0.5, 5, and 10 μM)
on cell viability by the Alamar blue assay. After 24 h of exposure
to CUR–PS-NPs and B-CUR, we found no significant effect on
the cell viability of both liver Huh7.5 and lung A549 epithelial cells
up to 5 μM concentration. However, at 10 μM dose, the
viability of cells got reduced significantly (Figure a,b). We further confirmed if 5 μM
concentration produces non-lethal effects of CUR–PS-NPs and
B-CUR by FACS analysis and fluorescence microscopy using Annexin
V-FITC-PI in both Huh7.5 and A549 cells. At 5 μM concentration,
CUR–PS-NPs and B-CUR did not reduce cell viability in both
the cells (Figure c–e; Figure S2a,b). Thus, we selected
5 μM concentrations of CUR–PS-NPs and B-CUR for all subsequent
cell-based experiments. We prepared the stock (50 μM) of the
CUR–PS-NPs and B-CUR in water and ethanol solution (1:1 ratio),
and further diluted (1:10 ratio) it for all subsequent experiments.
Figure 4
Impact
of CUR–PS-NPs and B-CUR on cell viability and apoptosis.
Cells were exposed to the indicated concentrations of CUR–PS-NPs
and B-CUR for 24 h and determined the cell viability using Alamar
blue technique in (a) Huh7.5 cells and (b) A549 cells. (c) Detection
of cell viability and apoptosis in treated or untreated Huh7.5 cells
and A549 cells by flow cytometry using FITC Annexin V and PI staining.
Treated or untreated (d) Huh7.5 cells and (e) A549 cells were also
analyzed by fluorescence microscope for the detection of cell viability
and apoptosis. Results are expressed as mean ± SEM of three individual
experiments. “*p < 0.05” for untreated vs CUR–PS-NPs/B-CUR-treated.
Impact
of CUR–PS-NPs and B-CUR on cell viability and apoptosis.
Cells were exposed to the indicated concentrations of CUR–PS-NPs
and B-CUR for 24 h and determined the cell viability using Alamar
blue technique in (a) Huh7.5 cells and (b) A549 cells. (c) Detection
of cell viability and apoptosis in treated or untreated Huh7.5 cells
and A549 cells by flow cytometry using FITC Annexin V and PI staining.
Treated or untreated (d) Huh7.5 cells and (e) A549 cells were also
analyzed by fluorescence microscope for the detection of cell viability
and apoptosis. Results are expressed as mean ± SEM of three individual
experiments. “*p < 0.05” for untreated vs CUR–PS-NPs/B-CUR-treated.To test if the delivery of CUR into lung A549 epithelial cells
is enhanced using PSNPs, internalization of CUR from CUR-PS-NPs was
examined by fluorescence microscopy (FM) as curcumin inherently yields
green fluorescence under FM. Greater internalization of CUR was noticed
in A549 cells, when exposed to 5 μM of CUR–PS-NPs for
2 h in comparison to B-CUR (Figure S3).
This confirms the superior bioavailability of nano-CUR than B-CUR
.
CUR–PS-NPs Inhibit CoV2-SP-Mediated Activation of MAPK/NF-κB
Axis
Patra et al. reported that CoV2-SP
exposure triggers the activation of MAPK and NF-κB signaling
in epithelial cells viz., Huh7.5 and A549 cells7. This
was concluded based on the higher expression of phosphorylated p38
MAPK (Thr180/Tyr182) and p42/44 MAPK (Thr202/Tyr204) proteins.[7] The elevated MAPK controls p65/NF-κB activation
for the production of cytokines.[29] Phosphorylation
of NF-κB (Ser276) and IκBα degradation have been
reported to trigger transcriptional activation of nuclear p65/NF-κB.[30,31] In our study, we obtained the increased level of phosphorylated
NF-κB (Ser276) and reduced IκBα level in Huh7.5
and A549 cells at 5 nM concentration of CoV2-SP (Figure S2). CUR–PS-NPs at the dose of 5 μM led
to greater reduction in CoV2-SP-induced phospho-p38 MAPK (Thr180/Tyr182),
phospho-p42/44 MAPK (Thr202/Tyr204), phosphorylation of p65/NF-κB,
and nuclear p65/NF-κB expression in both the epithelial cells
compared to B-CUR at similar dose (Figure S4a,b). No significant effect of PSNPs on the levels of these proteins
was observed (data not shown). Several investigations have concluded
that CoV2-SP is a leading factor in the increased cytokines–inflammatory
reaction linked with COVID-19 through activation of MAPK/NF-κB
signaling. Some clinical studies with COVID-19 patients have indicated
that administration of MAPK/NF-κB blocker medicines results
in less chance of hospitalization and admission to the intensive care
unit.[32,33] The findings of our study clearly indicate
that the CUR–PS-NPs can be used as potential inhibitors of
CoV2-SP-induced activation of a MAPK/NF-κB pathway.
CUR–PS-NPs
Block CoV2-SP-Induced IL-6 and IL-8 Production
IL-6 and IL-8
are two important pro-inflammatory cytokines which
are linked to the development of chronic inflammatory diseases.[34] The synthesis of these cytokines is controlled via MAPK/NF-κB activation that plays a major role
in inducing a cytokine storm in COVID-19 patients.[28,35] To establish the role of CUR–PS-NPs in blocking CoV2-SP-induced
IL-6 and IL-8 production, we first determined the levels of IL-6 and
IL-8 in the culture supernatant of Huh7.5 and A549 cells exposed to
5 nM of CoV2-SP for 24 h by ELISA.[28] An
increase in the extracellular IL-6 and IL-8 release was observed in
CoV2-SP-stimulated cells compared to unstimulated cells (Figure a,b). The stimulated
cells were also used to isolate RNA for RT-PCR analysis. The elevated
levels of IL-6 and IL-8 were detected in CoV2-SP-stimulated cells
which was not the case with unstimulated cells (Figure c,d). When CUR–PS-NPs were applied
to CoV2-SP-stimulated cells, a significant inhibitory effect on IL-6
and IL-8 levels was detected. Although B-CUR treatment also caused
reduction in IL-6 and IL-8 levels it was far less than that of CUR–PS-NPs
(Figure e–h).
This confirms that the inhibition of cytokines production was greater
in CUR–PS-NPs-treated Huh7.5 and A549 cells than those treated
with B-CUR. The PSNPs treatment alone had no significant inhibitory
effects on IL-6 and IL-8 release in CoV2-SP-stimulated Huh7.5 and
A549 cells. This suggests that the inhibition of IL-6 and IL-8 levels
was due to CUR only, not the PSNPs per se. These data indicate that
organic NPs of CUR effectively inhibit cytokine production induced
by CoV2-SP in epithelial cells.
Figure 5
Effect of CUR–PS-NPs, B-CUR and
PSNPs on CoV2-SP-induced
IL-6 and IL-8 mediated storm in epithelial cells. Measurement of
IL-6 and IL-8 protein release after 24 h exposure of 5 nM CoV2-SP
to (a) Huh7.5 cells and (b) A549 cells. Quantification of IL-6 and
IL-8 mRNA expression after 24 h exposure of 5 nM CoV2-SP to (c) liver
epithelial Huh7.5 cells and (d) lung A549 epithelial cells. Cells
were exposed to 5 nM CoV2-SP for 24 in the presence or absence of
CUR–PS-NPs, B-CUR and PSNPs (5 μM). Measurement of IL-6
and IL-8 protein release by ELISA in (e) Huh7.5 cells and (f) A549
cells. Quantification of IL-6 and IL-8 mRNA by RT-qPCR in (g) Huh7.5
cells and (h) A549 cells. Results are presented as mean ± SEM
of six individual experiments. (1) Unstimulated cells; (2) CoV2-SP-stimulated
cells; (3) CoV2-SP-stimulated plus CUR–PS-NPs (5 μM);
(4) CoV2-SP-stimulated plus B-CUR (5 μM); (5) CoV2-SP-stimulated
plus PSNPs (5 μM). “#p < 0.05”
and “$p < 0.01” for unstimulated vs CoV2-SP-stimulated. “*p <
0.05”, “**p < 0.01” and “***p < 0.001” for CoV2-SP-stimulated vs CUR–PS-NPs/B-CUR.
Effect of CUR–PS-NPs, B-CUR and
PSNPs on CoV2-SP-induced
IL-6 and IL-8 mediated storm in epithelial cells. Measurement of
IL-6 and IL-8 protein release after 24 h exposure of 5 nM CoV2-SP
to (a) Huh7.5 cells and (b) A549 cells. Quantification of IL-6 and
IL-8 mRNA expression after 24 h exposure of 5 nM CoV2-SP to (c) liver
epithelial Huh7.5 cells and (d) lung A549 epithelial cells. Cells
were exposed to 5 nM CoV2-SP for 24 in the presence or absence of
CUR–PS-NPs, B-CUR and PSNPs (5 μM). Measurement of IL-6
and IL-8 protein release by ELISA in (e) Huh7.5 cells and (f) A549
cells. Quantification of IL-6 and IL-8 mRNA by RT-qPCR in (g) Huh7.5
cells and (h) A549 cells. Results are presented as mean ± SEM
of six individual experiments. (1) Unstimulated cells; (2) CoV2-SP-stimulated
cells; (3) CoV2-SP-stimulated plus CUR–PS-NPs (5 μM);
(4) CoV2-SP-stimulated plus B-CUR (5 μM); (5) CoV2-SP-stimulated
plus PSNPs (5 μM). “#p < 0.05”
and “$p < 0.01” for unstimulated vs CoV2-SP-stimulated. “*p <
0.05”, “**p < 0.01” and “***p < 0.001” for CoV2-SP-stimulated vs CUR–PS-NPs/B-CUR.
CUR–PS-NPs Regulate CoV2-SP-Induced Expression of Cytokines,
Chemokines, and Growth Factors
Emerging evidences suggest
that an excessive production of circulatory biomarkers of inflammation
including cytokines (IL-1, IL-6, and IL-12), chemokines (CXCL8, MCP-1,
and IP-10), and growth factors (CCL3 and VEGF) is responsible for
the occurrence of ARDS in COVID-19 patients.[36] IP-10 (CXCL10) is also used as a key prognostic marker for SARS
disease development.[37] Although the levels
of circulatory VEGF remain high in SARS-CoV-2 infected patients, no
difference has been observed between severe and mild patients.[38] We used ProcartaPlex analysis to examine the
effects of CUR–PS-NPs, B-CUR, and PSNPs (μM) on the expression
of inflammatory biomarkers (Table S3).
Biomarkers having more than 1 pg/mL concentration in the culture medium
of CoV2-SP-induced cells were considered for further assessment. After
incubation of 24 h, CoV2-SP-induced Huh7.5 cells showed an elevated
secretion of nine proteins viz., IFNγ, IL-1β, IL-6, IL-8,
CCL2 (MCP-1), CCL3 (MIP-1α), CCL4 (MIP-1β), CCL5 (RANTES),
and TNFα, while 14 proteins viz., CSF-3 (G-CSF), GM-CSF, IFNγ,
IL-1β, IL-12p70, IL-6, IL-8, IP-10 (CXCL10), CCL2, CCL3, CCL5,
TNFα, VEGF-A, and FGF-2 got elevated secretion in A549 cells
(Figure a). In addition
to IL-6 and IL-8, we found greater inhibition in respect of these
proteins in CUR–PS-NPs-treated Huh7.5 cells (Figure b–j) and A549 cells
(Figure k–x)
as compared to B-CUR and PSNPs-treated cells, with an exception of
CCL10, CCL5 and VEGF-A in A549 cells. Treatment of CUR–PS-NPs,
B-CUR and PSNPs had no effect on unstimulated Huh7.5 cells (Figure S5a–i) and A549 cells (Figure S6a–n). These results confirm that
organic NPs of CUR have a high potential to reduce COVID-19-induced
cytokine storm-related inflammation and organ injuries, particularly
the lungs and liver.
Figure 6
Impact of CUR–PS-NPs, B-CUR and PSNPs on the release
of
cytokines, chemokines and growth factors by CoV2-SP-stimulated epithelial
cells. (a) Profile of 37 cytokines, chemokines and growth factors
in 24 h stimulation of Huh7.5 cells and A549 cells with 5 nM of CoV2-SP.
Released protein levels exceeding the content of 1 pg/mL in the culture
medium are presented in the graph. The results are expressed as fold
change (CoV2-SP-stimulated cells vs untreated control
cells). (b–j). Impacts of CUR–PS-NPs, B-CUR and PSNPs
on the inflammation-related cytokines, chemokines and growth factors
induced by CoV2-SP in Huh7.5 cells. (k–x) Impacts of CUR–PS-NPs,
B-CUR and PSNPs on the inflammation-related cytokines, chemokines
and growth induced by CoV2-SP in A549 cells. (1) Untreated and unstimulated
cells; (2) CoV2-SP-stimulated cells; (3) CoV2-SP-stimulated plus CUR–PS-NPs
(5 μM); (4) CoV2-SP-stimulated plus B-CUR (5 μM); (5)
CoV2-SP-stimulated plus PSNPs (5 μM). Results are presented
as mean ± SEM of six individual experiments. “*p < 0.05”, “**p < 0.01”
and “***p < 0.001” for unstimulated vs CoV2-SP-stimulated. “@p <
0.05”, “#p < 0.01” and “$p < 0.001” for CoV2-SP-stimulated vs CUR–PS-NPs/B-CUR.
Impact of CUR–PS-NPs, B-CUR and PSNPs on the release
of
cytokines, chemokines and growth factors by CoV2-SP-stimulated epithelial
cells. (a) Profile of 37 cytokines, chemokines and growth factors
in 24 h stimulation of Huh7.5 cells and A549 cells with 5 nM of CoV2-SP.
Released protein levels exceeding the content of 1 pg/mL in the culture
medium are presented in the graph. The results are expressed as fold
change (CoV2-SP-stimulated cells vs untreated control
cells). (b–j). Impacts of CUR–PS-NPs, B-CUR and PSNPs
on the inflammation-related cytokines, chemokines and growth factors
induced by CoV2-SP in Huh7.5 cells. (k–x) Impacts of CUR–PS-NPs,
B-CUR and PSNPs on the inflammation-related cytokines, chemokines
and growth induced by CoV2-SP in A549 cells. (1) Untreated and unstimulated
cells; (2) CoV2-SP-stimulated cells; (3) CoV2-SP-stimulated plus CUR–PS-NPs
(5 μM); (4) CoV2-SP-stimulated plus B-CUR (5 μM); (5)
CoV2-SP-stimulated plus PSNPs (5 μM). Results are presented
as mean ± SEM of six individual experiments. “*p < 0.05”, “**p < 0.01”
and “***p < 0.001” for unstimulated vs CoV2-SP-stimulated. “@p <
0.05”, “#p < 0.01” and “$p < 0.001” for CoV2-SP-stimulated vs CUR–PS-NPs/B-CUR.
Conclusions
We prepared the organic NPs of CUR using polysaccharide-rich
fraction
of turmeric rhizome in this study, which inhibited the cytokine storm
induced by human CoV2-SP in liver Huh7.5 and lung A549 epithelial
cells. Treatment of CoV2-SP-stimulated epithelial cells with CUR–PS-NPs
potently inhibited the release of cytokines, chemokines, and growth
factors that cause epithelial cell damage through deactivation of
NF-κB/MAPK signaling pathway. However, further in vivo studies are required to confirm the potential of CUR-PS-NPsas inhibitors
of cytokine storm induced by CoV2-SP in liver and lung epithelial
cells.
Experimental Procedures
Materials
We bought CUR with more than 97% purity from
Sigma-Aldrich, St. Louis, MO, the USA. We obtained purified SARS-CoV-2
spike recombinant glycoprotein and biotinylated recombinant human
ACE2 from Abcam (Cambridge, UK). All other analytical grade reagents
were used as received without additional purification.
Isolation and
Characterization of PS-Rich Fraction
We grinded the dried
rhizomes of C. longa (250 g) which
are collected from Shillong, Meghalaya to make a coarse
size powder and soaked it in 500 mL of water for 60 min. After refluxing
for 120 min, the mixture was centrifuged at 8000 rpm for 30 min. We
fractionated the supernatant with ethyl acetate and n-butanol. The remaining water layer was mixed properly with ethanol
in the ratio of 1:1 and centrifuged to obtain a precipitated material.[39] The yield of fraction was 0.74%. The composition
of fraction was also determined by gas chromatography–mass
spectrometry (GC–MS) equipped with a TR 50-MS capillary column
(30 m × 0.32 mm) and flame ionization detector (Thermo Scientific
DSQ II GC–MS system) in a temperature gradient of 100–280
°C at 10 °C/min. The fraction comprised d-glucose
(49%), l-rhamnose (14%), d-galacturonic acid (27%), l-arabinose (4%), and d-galactose (6%) (Table S1). The fraction was hydrolyzed at 100
°C for using 2 M of sulphuric acid, followed by acetylation as
reported by Huang and colleagues.[40]
Preparation
and Characterization of CUR–PS-NPs
We used an emulsion
solvent evaporation technique to prepare CUR–PS-NPs
with minor changes.[23] For this, we dissolved
CUR (50 mg) in acetone (1.25 mL) and 250 mg of the fraction in dichloromethane
(4 mL) and mixed it together under stirring conditions at 250 rpm
for 120 min. We added polyvinyl alcohol solution (1%) to the mixture
and stirred for 8 h for removal of organic solvents. Afterward, centrifugation
at 9500 rpm for 45 min under 4 °C was carried out. We re-suspended
pallets in water and centrifuged, and the process was repeated thrice.
Eventually, to achieve a solid dry powder, NPs were freeze-dried using
a lyophilizer (Labconco, USA) and stored at 4 °C under anhydrous
conditions for until use.We recorded optical extinction spectra
of CUR–PS-NPs by a UV–Vis spectrophotometer (Evolution
201, Thermo, USA) with the help of cuvettes (2 × 2 mm). We determined
the hydrodynamic size and zeta potential and PDI of CUR–PS-NPs
by performing DLS analysis using a Zetasizer system (MAL1010294 Malvern,
UK). We calculated the size and PDI from three individual analyses
through intensity distribution. We also examined the morphology and
size distribution of CUR–PS-NPs at 80 kV using carbon-coated
copper grids by a TEM (JEM-2100, JEOL).
Assessment of Interaction
between Human ACE2 and CoV2-SP
We assessed the interactions
between human ACE2 and CoV2-SP using
an ELISA kit (Biosystems, USA), according the manufacturer’s
instructions. Briefly, we coated each well of the microtiter plate
(Genaxy Scientific, India) with CoV2-SP (25 ng) for 12 h, followed
by careful three washings with phosphate-buffered saline (PBS) (pH
7.2). We added different concentrations of CUR–PS-NPs and B-CUR
(5–25 μg/mL) to each well, followed by addition of biotinylated
recombinant human ACE2 (62.5 ng), incubated at 37 °C for 30 min,
and maintained a total volume of 100 μL ineach well. The sample
without inhibitor was considered as a negative control. For the detection
of interactions between CoV2-SP and ACE2, we added streptavidin-HRP
(horse-radish peroxidase) and peroxidise substrate (3.3′,5,5′-tetramethylbenzidine).
We recorded the absorbance at 450 nm using a Synergy/HTX microplate
reader (BioTek, Germany).
Cell Culture
We procured lung epithelial
A549 cells
and liver epithelial Huh7.5 cells from American Type Culture Collection
(ATCC)-recognized cell repository at National Centre for Cell Sciences,
Pune, India. We cultured cells in a humidified atmosphere at 37 °C
with 5% CO2 in Dulbecco’s modified Eagle’s
medium (DMEM) (Gibco, Thermo Fisher Scientific) supplemented with
heat-inactivated fetal bovine serum (10%) (MP Biomedicals), penicillin
(100 U/mL), and streptomycin (100 mg/mL) (MP Biomedicals).
Analysis
of Cell Viability
We evaluated cell viability
by the Alamar blue assay, and FACS analysis and fluorescence microscopy
using Annexin V-FITC and PI that measured cell apoptosis in treated
or untreated epithelial cells.[41] After
treatment of 24 h, 25 μL of the Alamar blue dye (Thermo Fisher
Scientific) was added to each well, and cells were incubated for 2
h in CO2 incubator at 37 °C. We measured the absorbance
at 570 and 600 nm using a Synergy/HTX microplate reader (BioTek, Germany).
For FACS analysis, trypsinized cells were washed twice with 1×
PBS. After addition of 100 μL binding buffer (BF) containing
5 μL of Annexin V-FITC and PI, we incubated cells in the dark
for 15 min. We added 400 μL of BF to the cells and analyzed
using Attune NxT flow cytometry with Attune NxT version 2.6 software
(Thermo Fisher Scientific) and fluorescence microscope (Leica DCF
700 T, Germany).
Stimulation of Epithelial Cells with CoV2-SP
We prepared
a stock solution of 7.2 μM CoV2-SP in urea (9%), Tris-HCl (0.32%;
pH 7.2) and 50% glycerol, and diluted in DMEM medium (200 μL)
to attain the final doses applied to treat epithelial cells as recently
reported by Gasparello et al.(28) We seeded cells (5 × 105 cells/mL) and
incubated until 50% of confluence. Afterward, cells were exposed with
CoV2-SP (5 nM). To achieve maximum spike protein interaction with
the receptor, we incubated these cells for 30 min at 4 °C as
reported by Wang and colleagues.[42] Then,
the final volume of 500 μL was made up by adding DMEM medium.
We further incubated cells at 37 °C for 24 h. We treated cells
with DMSO (Sigma-Aldrich, USA) for the consideration as unstimulated
cells and used these cells as reference controls.
RNA Extraction
and RT-qPCR Reactions
Trypsinized cells
were washed thrice with 1× PBS. We isolated total RNA from obtained
cell pallets using an RNeasy mini kit (Qiagen, USA) according to the
manufacturer’s protocol. We washed the isolated RNA with cold
ethanol (75%) oncde, and after drying RNA pallets were re-dissolved
in nuclease-free water.We prepared cDNA using a Verso complementary
DNA (cDNA) synthesis kit (Applied Biosystem, Thermo Fischer Scientific)
according to manufacturer’s instructions. We amplified 2 μL
of cDNA in the presence of a SYBR green PCR master mix (Thermo Fisher,
USA) and 800 nM primer for 40 cycles according to manufacturer’s
instructions using a real-time PCR system (7900HT; Applied Biosystems,
USA). We calculated relative expression of each gene using the comparative
cycle threshold ΔΔC method. We used β-actin as an internal reference control
to normalize the gene expression. No template cDNA as a negative control
was also used in each experiment to study specificity and to exclude
contamination. We carried out RT-qPCR experiments in triplicate for
both target and normalize genes. The gene-specific primers were designed
using Primer 3 version 0.4.0 and used for the amplification of target
genes (Table S2).
Statistical Analysis
The results are presented as mean
± standard error of the mean (SEM). GraphPad Prism 8 was used
to analyze the data. Comparison among treatments was evaluated using
analysis of variances (ANOVA). Differences were defined with */@p < 0.05, **/#p < 0.01 and ***/$p < 0.001.