Additional file 6: Fig. S6. Single-cell sequencing analysis of adult mice intestine. a Dotplot for highest specificity gene markers of cell clusters. Dot size represents the percentage of cells expressing the denoted gene, and the color represents average normalized expression level within the denoted cluster. b The expression of GFAP in different cell clusters by analysis of the Uniform Manifold Approximation and Projection (UMAP). c Different cell subpopulation of the GSE156905 dataset derived from the...

Additional file 1: Supplementary Figure 1. MMP-13 levels in the medium of IL-1β-induced C28/I2 cells detected by ELISA.

Samples for virus-like particle quantification were collected from sea foam, sea-surface microlayer (SML) and from 1-m deep water (subsurface water = SSW) from the Swedish Skagerrak at Tjärnö Marine Laboratory in February 2020. Using a small boat, foam and SML were collected using a glass plate sampler, and SSW using a syringe connected to a hose. Moreover, rainwater was collected close to the coast in Duran bottles. Samples were fixed with glutardialdehyde (1% final concentration,...

Additional file 1: Figure S1. The gating strategies for the flow cytometry experiments. Data analysis was performed using FlowJo (Ashland, OR). Scatter and staining with the FITC-anti-CD41 and PE-anti-CD40L antibodies were used to gate platelet population. Cells were first gated by regions within a side scatter area (SSC-A) versus forward scatter area (FSC-A) plot, and then through gating those populations in the SSC-A versus FITC-A plots. Activated platelets were defined as FITC-anti-CD41-A positive and PE-anti-CD40L-A...

Additional file 7: Figure S7. Effect of LPS and CD40L on TRAFs proteins in EGCs. a Representative western blot images of TRAFs proteins expression in EGCs. b–g Western blot analysis of TRAF1 (b), TRAF2 (c), TRAF3 (d), TRAF4 (e), TRAF5 (f) and TRAF6 (g) expression in different groups of EGCs (n = 6). The data are presented as the mean ± SEM, *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

Supplemental material, sj-jpg-3-cep-10.1177_03331024231152169 for Safety and tolerability of monoclonal antibodies targeting the CGRP pathway and gepants in migraine prevention: A systematic review and network meta-analysis by Roberta Messina, Eva-Maria Huessler, Francesca Puledda, Faraidoon Haghdoost, Elena R Lebedeva and Hans-Christoph Diener in Cephalalgia

Supplemental material, sj-jpg-4-cep-10.1177_03331024231152169 for Safety and tolerability of monoclonal antibodies targeting the CGRP pathway and gepants in migraine prevention: A systematic review and network meta-analysis by Roberta Messina, Eva-Maria Huessler, Francesca Puledda, Faraidoon Haghdoost, Elena R Lebedeva and Hans-Christoph Diener in Cephalalgia

Supplemental material, sj-jpg-1-cep-10.1177_03331024231152169 for Safety and tolerability of monoclonal antibodies targeting the CGRP pathway and gepants in migraine prevention: A systematic review and network meta-analysis by Roberta Messina, Eva-Maria Huessler, Francesca Puledda, Faraidoon Haghdoost, Elena R Lebedeva and Hans-Christoph Diener in Cephalalgia

Additional file 4: Figures S3. KEGG pathway enrichment analysis of the 12 differentially expressed proteins.

Additional file 3: Figures S2. GO enrichment analysis of the 12 differentially expressed proteins.

Additional file 5: Fig. S5. Effect of cilostazol treatment on cardiac function after CLP. a Representative M-mode images of the four different groups. b-e Quantitative analysis of LVEF (b), LVFS (c), LVEDD (d), and LVESD (e) in each group (n = 6). These data indicate no significant difference.

Additional file 6: Fig. S6. Single-cell sequencing analysis of adult mice intestine. a Dotplot for highest specificity gene markers of cell clusters. Dot size represents the percentage of cells expressing the denoted gene, and the color represents average normalized expression level within the denoted cluster. b The expression of GFAP in different cell clusters by analysis of the Uniform Manifold Approximation and Projection (UMAP). c Different cell subpopulation of the GSE156905 dataset derived from the...

Supplemental material, sj-jpg-5-cep-10.1177_03331024231152169 for Safety and tolerability of monoclonal antibodies targeting the CGRP pathway and gepants in migraine prevention: A systematic review and network meta-analysis by Roberta Messina, Eva-Maria Huessler, Francesca Puledda, Faraidoon Haghdoost, Elena R Lebedeva and Hans-Christoph Diener in Cephalalgia

Samples for virus-like particle quantification were collected from sea foam, surface microlayer (SML) and from 1-m deep water (SSW) from the Swedish Skagerrak at Tjärnö Marine Laboratory in February 2020. Using a small boat, foam and SML were collected using a glass plate sampler, and SSW using a syringe connected to a hose. Moreover, rainwater was collected close to the coast in Duran bottles. Samples were fixed with glutardialdehyde (1% final concentration, Merck, Sweden), stored...

Additional file 3: Fig. S2. Differential methylation of CpG loci in the SOCS3 promoter in T-LGL samples. Comparison of CpG methylation (beta-value) for CpGs in the SOCS3 promoter between CD8+ memory cells (CD8mem) and T-LGLL samples (LGL). On top, adjusted p val of differential methylation analysis (dmpFDR, top left) and adjusted p value of differential variability analysis (dmVar, top right).

Additional file 5: Fig. S3B. Gene Ontology analysis of genes hyper- (A) and hypomethylated (B) of T-LGL patients. Significant Biological processes (GO database) enriched in genes associated with significantly differentially methylated CpG loci in T-LGL. Enrichment represented as odds ratio. Point size represents the gene count of each pathway. Enrichment p value obtained by overrepresentation analysis [30], represented by point color. B Gene Ontology analysis of hypomethylated genes in T-LGL.

Additional file 1: Fig. S1. The gating strategies for the flow cytometry experiments. Data analysis was performed using FlowJo (Ashland, OR). Scatter and staining with the FITC-anti-CD41 and PE-anti-CD40L antibodies were used to gate platelet population. Cells were first gated by regions within a side scatter area (SSC-A) versus forward scatter area (FSC-A) plot, and then through gating those populations in the SSC-A versus FITC-A plots. Activated platelets were defined as FITC-anti-CD41-A positive and PE-anti-CD40L-A...

Additional file 2: Fig. S2. KEGG enrichment of differential expressed genes in septic patients compared with healthy person. a The volcano plot was constructed using the fold change values and P-adjust. Red dots indicate upregulated genes; blue dots indicate downregulated genes. b The heatmap of the differential gene expression, where different colors represent trends of gene expression in different tissues. c, d The enriched KEGG signaling pathways were selected to demonstrate the primary biological actions...

Additional file 10: Fig. S6. Expression correlation between BCL11B & C14ORF64 (LINC01550). Expression correlation between BCL11B & C14ORF64 (LINC01550) in 426 human datasets with 42563 samples from R2: Genomics analysis and visualization platform (https://hgserver1.amc.nl/cgi-bin/r2/main.cgi).

Additional file 1: Figure S1. The gating strategies for the flow cytometry experiments. Data analysis was performed using FlowJo (Ashland, OR). Scatter and staining with the FITC-anti-CD41 and PE-anti-CD40L antibodies were used to gate platelet population. Cells were first gated by regions within a side scatter area (SSC-A) versus forward scatter area (FSC-A) plot, and then through gating those populations in the SSC-A versus FITC-A plots. Activated platelets were defined as FITC-anti-CD41-A positive and PE-anti-CD40L-A...

Additional file 3: Figure S3. Effects of cilostazol treatment on serum inflammatory factors. The level of serum TNF-α (a) and IL-1β (b) in each group (n = 6). The data are presented as the mean ± SEM, ***P < 0.001, ****P < 0.0001, and ns indicates no significant difference.

Additional file 4: Figure S4. Effects of cilostazol treatment on complete blood counts after CLP. a, b The level of platelets (a), WBC (b), NEUT (c), MONO (d) and LYMPH (e) (n = 5). WBC, white blood cells; NEUT, neutrophil; MONO, monocyte; LYMPH, lymphocyte. The data are presented as the mean ± SEM, *P < 0.05, ***P < 0.001, and ns indicates no significant difference.

Additional file 4: Figure S4. Effects of cilostazol treatment on complete blood counts after CLP. a, b The level of platelets (a), WBC (b), NEUT (c), MONO (d) and LYMPH (e) (n = 5). WBC, white blood cells; NEUT, neutrophil; MONO, monocyte; LYMPH, lymphocyte. The data are presented as the mean ± SEM, *P < 0.05, ***P < 0.001, and ns indicates no significant difference.

Additional file 5: Figure S5. Effect of cilostazol treatment on cardiac function after CLP. a Representative M-mode images of the four different groups. b–e Quantitative analysis of LVEF (b), LVFS (c), LVEDD (d), and LVESD (e) in each group (n = 6). These data indicate no significant difference.

Polycystic ovary syndrome (PCOS) is a common endocrine disorder that poses a great threat to women's health. MiR-1224-5p is downregulated in the follicular fluid of patients with PCOS, but its role remains largely unknown. In this study, mice were treated with dehydroepiandrosterone (DHEA) to establish an in vivo model of PCOS. We found that enhanced activation of NLRP3 inflammasome was accompanied by downregulation of miR-1224-5p in ovarian tissue of PCOS mice. The effect of miR-1224-5p...