| Literature DB >> 32967684 |
Susana Monteiro1,2, Andreia G Pinho1,2, Mara Macieira1,2, Cláudia Serre-Miranda1,2, Jorge R Cibrão1,2, Rui Lima1,2, Carina Soares-Cunha1,2, Natália L Vasconcelos1,2, José Lentilhas-Graça1,2, Sara Duarte-Silva1,2, Alice Miranda1,2, Margarida Correia-Neves1,2, António J Salgado1,2, Nuno A Silva3,4.
Abstract
BACKGROUND: Alterations in the immune system are a complication of spinal cord injury (SCI) and have been linked to an excessive sympathetic outflow to lymphoid organs. Still unknown is whether these peripheral immune changes also contribute for the deleterious inflammatory response mounted at the injured spinal cord.Entities:
Keywords: Neutrophils; Spinal cord injury; Spleen; Sympathetic fibers
Mesh:
Year: 2020 PMID: 32967684 PMCID: PMC7513542 DOI: 10.1186/s12974-020-01945-8
Source DB: PubMed Journal: J Neuroinflammation ISSN: 1742-2094 Impact factor: 8.322
Fig. 1Mid-thoracic SCI alters gene expression and protein levels of molecules associated with axonal sprouting. a Experimental setup. b Schematic representation of the impact of a thoracic SCI in the sprouting of postganglionic neurons innervating the spleen. Created with BioRender.com. c–f Expression analysis of repulsive (c) and growth-associated (d–f) genes by qPCR in spleens harvested 1 h, 6 h, 24 h, and 15 days post-injury. Expression analysis was normalized to three housekeeping genes: Gapdh, Hprt, and 18s, and variation to respective time-point sham control is shown. Results were pooled from two independent experiments. N (1 h) = 5; n (6 h) = 5; n (24 h) = 5; n (15 days) = 5. g–i Immunohistochemistry of TH+ positive fibers in the spleen at 1 (g) and 15 dpi (h). Scale 50 μm. i Area occupied by sympathetic fibers (TH+) in the spleen was quantified by positive TH immunostaining relative to respective time-point sham control. N (1 day) = 2; n (15 days) = 2. j, k Western blot analysis of TH (j) and βIII-tubulin (k) in the spleen harvested 1 and 15 days post-injury (dpi). Protein analysis was normalized for the housekeeping protein actin, and variation to respective time-point sham control is shown. Data representative of three independent experiments. N (1 day) = 5; n (15 days) = 6. Statistical tests: c–f one-way ANOVA; post-hoc Tukey’s multiple comparisons test. i, j, and k unpaired t test. Results expressed as mean ± SEM. *p < 0.05; **p < 0.01, and ***p < 0.001
Fig. 2Thoracic SCI promotes an increase in splenic NE levels and alters the expression of NE metabolism-associated genes. a Schematic representation of the impact of a thoracic SCI in the neurotransmitters’ metabolism of postganglionic terminals in the spleen. Created with BioRender.com. b Experimental setup. c–e Catecholamine’s quantification in the spleen 24 hpi by high performance liquid chromatography (HPLC). Quantification data was normalized to spleen weight, and variation relative to respective time-point sham control is shown. Data pooled from two independent experiment. N (1 h) = 6; n (6 h) = 6; n (24 h) = 6. f, g Expression analysis of NE metabolism-associated genes by qPCR in spleens harvested 1, 6, and 24 hpi. Expression analysis was normalized to three housekeeping genes: Gapdh, Hprt, and 18s, and variation relative to respective time-point sham control is shown. N (1 h) = 5; n (6 h) = 5; n (24 h) = 3. Statistical tests: c–g one-way ANOVA; post hoc Tukey’s multiple comparisons test. Results expressed as mean ± SEM. *p < 0.05; **p < 0.01; ***p < 0.001
Fig. 3Lower doses of NE increase neutrophil population among splenocytes. a Schematic representation of in vitro assay and flow cytometry assessment. b Flow cytometry plots demonstrating monocytes/macrophages (SSClowLy6G−) and neutrophil (SSChighLy6G+)populations. c, d Frequency and concentration of neutrophils after NE stimulation. e, f Frequency and concentrations of monocytes/macrophages after NE stimulation. N (0 M) = 4; n (1 × 10−9) = 5; n (1 × 10−6) = 5; n (1 × 10−3) = 5. Data representative of three independent experiments. Statistical tests: b–f one-way ANOVA; post hoc Tukey’s multiple comparisons test. Results expressed as mean ± SEM. n.s. non-statistically significant; *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001
Fig. 4Less neutrophils in the spleen of denervated (Dxn) animals 24 hpi. a Schematic representation of the sympathetic signaling interruption by splenic denervation. Created with BioRender.com. b Experimental setup. c Flow cytometry plots demonstrating monocytes (CD11b+Ly6G-Ly6C+) and neutrophil (CD11b+Ly6G+Ly6C+) populations present in the spleen 24 hpi in SCI vs Dxn + SCI animals. d–f Frequency of myeloid (CD11b+) cells, monocytes (CD11b+Ly6G-Ly6C+), and neutrophils (CD11b+Ly6G+Ly6C+) present at the spleen 24 hpi in SCI and Dxn + SCI animals. f Concentration of neutrophils in the spleen 24 hpi in SCI vs Dxn + SCI animals. N (SCI) = 4; n (Dxn + SCI) = 6. Statistical tests: d–g unpaired t test. Results expressed as mean ± SEM. **p < 0.01
Fig. 5Splenic denervation led to less neutrophils present at the spinal cord 24 hpi. a Schematic representation of the sympathetic signaling interruption by splenic denervation. Created with BioRender.com. b Experimental setup. c Flow cytometry plots demonstrating gates defining CD45high cells, monocytes (CD45highCD11b+Ly6G-Ly6C+), and neutrophil (CD45highCD11b+Ly6G+Ly6C+) populations present at the spinal cord 24 hpi in SCI vs Dxn + SCI animals. d Frequency of monocytes present at the spinal cord 24 hpi in SCI vs Dxn + SCI animals. e Frequency and concentration of neutrophils at the spinal cord 24 hpi in SCI vs Dxn + SCI animals. N (SCI) = 4; n (Dxn + SCI) = 6. Statistical tests: d, e unpaired t test. Results expressed as mean ± SEM. ***p < 0.001
| Gene | Forward | Reverse |
|---|---|---|
| 5-GTA ACC CGT TGA ACC CCA TT-3 | 5-CCA TCC AAT CGG TAG TAG CG -3 | |
| 5-GCG CCC ATG AAA GAA GTA AA-3 | 5-TTC GAT GAC GTG CTC AAA AG-3 | |
| 5-GGG CCC ACT TGA AGG GTG GA-3 | 5-TGG ACT GTG GTC ATG AGC CCT T-3 | |
| 5-ATA ACT CCC CGT CCT CCA AGG C-3 | 5-ACA GCG TCT TTC TCC TCC TCA GC-3 | |
| 5-GCT GGT GAA AAG GAC CTC T-3 | 5-CAC AGG ACT AGA ACA CCT GC-3 | |
| 5-ATG AGG TAT CTG CCC TGT GG-3 | 5-CTC TCA GGT GGA AGC TCT GG-3 | |
| 5-GTG AAG GAA CGC AAC GGA GT-3 | 5-CAG GAA GGC ACC ACC ACC AT-3 | |
| 5-GAG GGG AGC GCA TCG AGT T-3 | 5-GGT TCT GCC TGT ACG CCG AT-3 | |
| 5-TCC ACG GCC AGG AAC TTG TC-3 | 5-GCC ATC TTC TGC ATC CAC TCG-3 |
| Marker | Fluo. | Company | Target | |
|---|---|---|---|---|
| 7-AAD | PerCpCy5.5 | Biolegend | Dead cells | 1/80 |
| CD11b | PE | Biolegend | Myeloid cells | 1/200 |
| CD11c | BV 605 | Biolegend | Mostly dendritic cells | 1/100 |
| NK 1.1 | BV 510 | Biolegend | Natural killer | 1/200 |
| CD19 | FITC | Biolegend | B lymphocytes | 1/200 |
| CD3 | APC | Biolegend | T lymphocytes | 1/100 |
| CD45 | PeCy7 | Biolegend | Leukocytes | 1/200 |
| Ly6C | BV711 | Biolegend | Monocytes * | 1/100 |
| Ly6G | BV650 | Biolegend | Granulocytes | 1/100 |
| Purified anti CD16/32 | None | Biolegend | Fc Block | 1/25 |
| TH | None | Millipore | Sympathetic fibers | 1/500 |