human serum il 12p40 levels Search Results


human serum il 12p40 levels  (Boster Bio)
90
Boster Bio human serum il 12p40 levels
Human Serum Il 12p40 Levels, supplied by Boster Bio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
human serum il 12p40 levels - by Bioz Stars, 2026-05
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serum cytokines  (R&D Systems)
96
R&D Systems serum cytokines
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Serum Cytokines, supplied by R&D Systems, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/serum cytokines/product/R&D Systems
Average 96 stars, based on 1 article reviews
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serum-free medium rpmi-c  (BioWhittaker Molecular Applications)
90
BioWhittaker Molecular Applications serum-free medium rpmi-c
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Serum Free Medium Rpmi C, supplied by BioWhittaker Molecular Applications, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/serum-free medium rpmi-c/product/BioWhittaker Molecular Applications
Average 90 stars, based on 1 article reviews
serum-free medium rpmi-c - by Bioz Stars, 2026-05
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rpmi-c  (BioWhittaker Molecular Applications)
90
BioWhittaker Molecular Applications rpmi-c
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Rpmi C, supplied by BioWhittaker Molecular Applications, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/rpmi-c/product/BioWhittaker Molecular Applications
Average 90 stars, based on 1 article reviews
rpmi-c - by Bioz Stars, 2026-05
90/100 stars
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bespoke commercially available kit  (Merck KGaA)
90
Merck KGaA bespoke commercially available kit
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Bespoke Commercially Available Kit, supplied by Merck KGaA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bespoke commercially available kit/product/Merck KGaA
Average 90 stars, based on 1 article reviews
bespoke commercially available kit - by Bioz Stars, 2026-05
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human il-12 p70  (Becton Dickinson)
90
Becton Dickinson human il-12 p70
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Human Il 12 P70, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human il-12 p70/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
human il-12 p70 - by Bioz Stars, 2026-05
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non-human primate cytokine, prcytomag-40k  (Merck KGaA)
90
Merck KGaA non-human primate cytokine, prcytomag-40k
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Non Human Primate Cytokine, Prcytomag 40k, supplied by Merck KGaA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/non-human primate cytokine, prcytomag-40k/product/Merck KGaA
Average 90 stars, based on 1 article reviews
non-human primate cytokine, prcytomag-40k - by Bioz Stars, 2026-05
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crp hs elisa  (DRG Instruments GmbH)
90
DRG Instruments GmbH crp hs elisa
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Crp Hs Elisa, supplied by DRG Instruments GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/crp hs elisa/product/DRG Instruments GmbH
Average 90 stars, based on 1 article reviews
crp hs elisa - by Bioz Stars, 2026-05
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human cytokine/chemokine magnetic bead panels hcytomag  (Merck KGaA)
90
Merck KGaA human cytokine/chemokine magnetic bead panels hcytomag
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Human Cytokine/Chemokine Magnetic Bead Panels Hcytomag, supplied by Merck KGaA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human cytokine/chemokine magnetic bead panels hcytomag/product/Merck KGaA
Average 90 stars, based on 1 article reviews
human cytokine/chemokine magnetic bead panels hcytomag - by Bioz Stars, 2026-05
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v-plex kit (chemokine panel 1, k15050d)  (Meso Scale Diagnostics LLC)
90
Meso Scale Diagnostics LLC v-plex kit (chemokine panel 1, k15050d)
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
V Plex Kit (Chemokine Panel 1, K15050d), supplied by Meso Scale Diagnostics LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/v-plex kit (chemokine panel 1, k15050d)/product/Meso Scale Diagnostics LLC
Average 90 stars, based on 1 article reviews
v-plex kit (chemokine panel 1, k15050d) - by Bioz Stars, 2026-05
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bespoke commercially available human multiplex cytokine kit  (Merck KGaA)
90
Merck KGaA bespoke commercially available human multiplex cytokine kit
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Bespoke Commercially Available Human Multiplex Cytokine Kit, supplied by Merck KGaA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bespoke commercially available human multiplex cytokine kit/product/Merck KGaA
Average 90 stars, based on 1 article reviews
bespoke commercially available human multiplex cytokine kit - by Bioz Stars, 2026-05
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prostaglandin e 2  (Cayman Chemical)
90
Cayman Chemical prostaglandin e 2
Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and <t>cytokines.</t> Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.
Prostaglandin E 2, supplied by Cayman Chemical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/prostaglandin e 2/product/Cayman Chemical
Average 90 stars, based on 1 article reviews
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Image Search Results


Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and cytokines. Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.

Journal: Frontiers in Immunology

Article Title: Disturbance of Gut Bacteria and Metabolites Are Associated with Disease Severity and Predict Outcome of NMDAR Encephalitis: A Prospective Case–Control Study

doi: 10.3389/fimmu.2021.791780

Figure Lengend Snippet: Workflow integrating anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis gut microbiome, fecal and serum metabolomes, and cytokines. Fifty-eight patients with a definite diagnosis of NMDAR encephalitis were divided into different severity groups: severe ( n = 22) and moderate ( n = 36); there were 49 healthy controls. We next constructed a co-abundance network with 294 operational taxonomic units (OTUs) and clustered them into 19 co-abundance groups (CAGs). Subsequently, we identified the important CAGs that were strikingly prevalent in patients with more severe status. We then identified the serum and fecal metabolome and cytokine features between NMDAR encephalitis patients and healthy controls. Serum and fecal metabolites were summarized as co-abundance metabolic modules. Next, we identified the relationships between the markedly altered gut microbiome composition, host metabolic profiles, and the major dysregulated cytokines. Finally, fecal and serum samples from 30 patients after 6 months of follow-up were collected to investigate longitudinal deviations in dysbiosis and establish associations between disease outcome markers and dysbiosis.

Article Snippet: The concentrations of serum cytokines (CCL4, IFN-α, IFN-γ, IL-1β, IL-7, IFN-β, IL-1ra, IL-10, IL-4, IL-6, IL-8, IL-12 p40, IL-18, IL-17, and TNF-α) were analyzed employing xMAPtechnology (LXSAHM-20, R&D Systems Inc., Minneapolis, MN, USA; HGAMMAG-301K-03, Merck Millipore, Burlington, MA, USA).

Techniques: Biomarker Discovery, Construct

Correlation between dysregulated cytokines and differential genera in anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis. (A–I) Analysis of 12 immune cytokines in patients with NMDAR encephalitis and in healthy controls (HCs). Participants’ sera were run on Luminex. Differences are determined by a t -test. (J) Correlation analyses of cytokines and differentially enriched genera between any two groups. Abundance rates of differentially enriched species (top 30) in HCs and NMDAR encephalitis were evaluated for association with differential immune factors using Spearman’s correlation analysis. Correlations are shown by color gradients from green (negatively correlated) to purple (positively correlated). Correlation coefficients and p -values (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001) are shown.

Journal: Frontiers in Immunology

Article Title: Disturbance of Gut Bacteria and Metabolites Are Associated with Disease Severity and Predict Outcome of NMDAR Encephalitis: A Prospective Case–Control Study

doi: 10.3389/fimmu.2021.791780

Figure Lengend Snippet: Correlation between dysregulated cytokines and differential genera in anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis. (A–I) Analysis of 12 immune cytokines in patients with NMDAR encephalitis and in healthy controls (HCs). Participants’ sera were run on Luminex. Differences are determined by a t -test. (J) Correlation analyses of cytokines and differentially enriched genera between any two groups. Abundance rates of differentially enriched species (top 30) in HCs and NMDAR encephalitis were evaluated for association with differential immune factors using Spearman’s correlation analysis. Correlations are shown by color gradients from green (negatively correlated) to purple (positively correlated). Correlation coefficients and p -values (* p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001) are shown.

Article Snippet: The concentrations of serum cytokines (CCL4, IFN-α, IFN-γ, IL-1β, IL-7, IFN-β, IL-1ra, IL-10, IL-4, IL-6, IL-8, IL-12 p40, IL-18, IL-17, and TNF-α) were analyzed employing xMAPtechnology (LXSAHM-20, R&D Systems Inc., Minneapolis, MN, USA; HGAMMAG-301K-03, Merck Millipore, Burlington, MA, USA).

Techniques: Luminex

Interrelationships between the gut microbiota composition, host metabolic profiles, and cytokine phenotypes. Correlation network between the gut microbiota of significant co-abundance groups (CAGs), fecal (A) and serum (B) metabolites, and cytokines. Red lines denote positive correlations (FDR < 0.05), while blue lines denote negative correlations (FDR < 0.05). In the gut microbiota column, green stratum denotes CAGs highly enriched in the control group. Stratum in brown denotes microbiota increased in the more severe group. In the metabolomics column, orange and red strata denote anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis-negative metabotypes, while blue and green strata denote NMDAR encephalitis-positive metabotypes.

Journal: Frontiers in Immunology

Article Title: Disturbance of Gut Bacteria and Metabolites Are Associated with Disease Severity and Predict Outcome of NMDAR Encephalitis: A Prospective Case–Control Study

doi: 10.3389/fimmu.2021.791780

Figure Lengend Snippet: Interrelationships between the gut microbiota composition, host metabolic profiles, and cytokine phenotypes. Correlation network between the gut microbiota of significant co-abundance groups (CAGs), fecal (A) and serum (B) metabolites, and cytokines. Red lines denote positive correlations (FDR < 0.05), while blue lines denote negative correlations (FDR < 0.05). In the gut microbiota column, green stratum denotes CAGs highly enriched in the control group. Stratum in brown denotes microbiota increased in the more severe group. In the metabolomics column, orange and red strata denote anti- N -methyl- d -aspartate receptor (NMDAR) encephalitis-negative metabotypes, while blue and green strata denote NMDAR encephalitis-positive metabotypes.

Article Snippet: The concentrations of serum cytokines (CCL4, IFN-α, IFN-γ, IL-1β, IL-7, IFN-β, IL-1ra, IL-10, IL-4, IL-6, IL-8, IL-12 p40, IL-18, IL-17, and TNF-α) were analyzed employing xMAPtechnology (LXSAHM-20, R&D Systems Inc., Minneapolis, MN, USA; HGAMMAG-301K-03, Merck Millipore, Burlington, MA, USA).

Techniques: Control