| Literature DB >> 30480838 |
Lauke L Boeijen1, Gertine W van Oord1, Jun Hou1, Marieke van der Heide-Mulder1, Anuj Gaggar2, Li Li2, Simon P Fletcher2, Robert J de Knegt1, André Boonstra1.
Abstract
In this study, we describe a method to reliably characterize intrahepatic leukocyte populations using flow cytometry and next-generation RNA sequencing on fresh human liver biopsies. Over the last decades, immune responses of viral hepatitis patients, and of other liver diseases, have been incompletely characterized. Most studies include peripheral blood samples only, foregoing the possibility to investigate the site of inflammation directly. Here, we show that with an optimized protocol that combines cell sorting and RNA sequencing, we can perform a side by side comparison of both intrahepatic and peripheral immune cells. Using core liver biopsies from chronic hepatitis B virus patients, we show that the expression levels of IFN-stimulated genes and leukocyte-specific genes are markedly different in the liver compartment as compared to the peripheral blood. These observations emphasize the need to sample the liver directly. The variation of gene expression profiles in these chronic hepatitis B patients was considerable, despite the uniform treatment with nucleotide analogs and absence of liver inflammation in these patients. Finally, we show that this method can provide a detailed characterization of previously undetected liver-specific effects of novel candidate therapeutic compounds. ©2018 Society for Leukocyte Biology.Entities:
Keywords: Cells: Natural Killer; Cells: T Lymphocytes; Process: Gene Regulation; Process: Host-Pathogen Interactions; Process: Lymphoid Cell Mediated Immunity; Techniques: Multiparameter FACS; Tissue/System: Digestive; Tissue/System: Lymphoid
Mesh:
Substances:
Year: 2018 PMID: 30480838 PMCID: PMC6924273 DOI: 10.1002/JLB.6AB0718-278R
Source DB: PubMed Journal: J Leukoc Biol ISSN: 0741-5400 Impact factor: 4.962
Figure 1Description of the gating strategy and quality control steps for isolated mRNA derived from liver immune cell populations. (A) FACS plots showing the gating strategies for liver T cells (CD45+CD3+CD56‐ lymphocytes), and NK cells (CD45+CD3‐CD56+ lymphocytes) of 6 chronic HBV patients treated with nucleotide analogs. The panel on the right‐hand side shows the T cell and NK cell frequencies of total intrahepatic CD45+ cells. (B) The gating strategy for peripheral blood T cells and NK cells, including the T cell and NK cell frequencies of the total blood CD45+ population (right panel). (C) The absolute number of intrahepatic T and NK cells sorted by flow cytometry. (D) The total amount of RNA obtained from the sorted cells. (E) The RNA integrity number (RIN value) of the RNA samples. (F) The total number of unique genes identified in T cells and NK cells from the 5 liver biopsies passing quality control, in comparison to blood‐derived T and NK cells
Figure 2Relative expression of ISG and cell type specific genes in liver and blood of virally suppressed patients with chronic hepatitis B. (A) The relative baseline expression level of ISG (upper panel) and NK cell genes (lower panel) in liver and peripheral blood NK cells of 5 nucleotide analog‐treated chronic HBV patients. The colors represent a range of fold difference from −2.5 (blue) to 2.5 (red). (B) The relative baseline expression of ISG in T cells of 5 nucleotide analog‐treated chronic HBV patients is shown in the upper panel and of T cell genes in the lower panel. (C) The modulation of ISG expression after 7 weeks of treatment with GS‐9620 (Vesatolimod), evaluated longitudinally in T cells isolated from liver biopsies in 1 virally suppressed chronic HBV patient (patient 2, treated with 4 mg Vesatolimod weekly). Vesatolimod (GS‐9620) is a TLR7 agonist under investigation for treatment of chronic HBV. The 15 genes whose expressions are most specific to the liver at baseline (before Vesatolimod treatment) are shown, as identified by calculating the liver/blood ratio of expression levels in both compartments. The FC before and after treatment in liver (grey bars) and blood (white bars) is shown for each individual gene, revealing liver‐specific treatment effects
FC; fold change
The top liver‐enriched genes in T cells and NK cells derived from blood and liver during virally suppressed HBV
| T cells | NK cells | ||||||
|---|---|---|---|---|---|---|---|
| Rank | Gene |
| Ratio blood/liver | Rank | Gene |
| Ratio blood/liver |
| 1 |
| 0.0006 | 0.02869 | 1 |
| 0.00001 | 0.01512 |
| 2 |
| 0.00001 | 0.04143 | 2 | SPRY2 | 0.00006 | 0.02319 |
| 3 |
| 0.0007 | 0.0593 | 3 | EXPH5 | 0.01919 | 0.08083 |
| 4 |
| 0.00002 | 0.05955 | 4 | CCL3L3 | 0.00219 | 0.08839 |
| 5 | SLC4A10 | 0.00801 | 0.05977 | 5 | LDB2 | 0.00011 | 0.09216 |
| 6 |
| 0.00024 | 0.07045 | 6 | SLC4A10 | 0.00615 | 0.09528 |
| 7 | B3GALT2 | 0.00211 | 0.07435 | 7 | DET1 | 0.02772 | 0.10272 |
| 8 |
| 0.00008 | 0.0766 | 8 | IGIP | 0.00241 | 0.10989 |
| 9 | MS4A1 | 0.00014 | 0.09095 | 9 | MBOAT1 | 0.00188 | 0.12441 |
| 10 | CMTM1 | 0.00208 | 0.10766 | 10 |
| 0.00479 | 0.13107 |
Relative activation of signaling pathways in T cells and NK cells from blood and liver
| Pathway name | Genes in pathway (total) | Blood CD3 FC | Liver CD3 FC | Blood NK FC | Liver NK FC |
|---|---|---|---|---|---|
| Glycolysis / gluconeogenesis | 68 (100%) |
|
| −2.7 (64%) | −2.2 (51%) |
| Cell cycle | 124 (100%) | 0.0 (84%) |
| −1.3 (89%) |
|
| Lysosome | 123 (100%) | −4.2 (89%) | −4.0 (82%) |
|
|
| NK cell‐mediated cytotoxicity | 133 (100%) | −11.7 (71%) | −3.7 (70%) |
|
|
| Oxidative phosphorylation | 133 (100%) |
| −5.0 (67%) |
| −4.3 (62%) |
| Hepatitis B | 144 (100%) | −0.2 (77%) |
|
| −1.4 (67%) |
| Th1 and Th2 cell differentiation | 92 (100%) | −5.9 (86%) |
|
| −1.0 (72%) |
| Mismatch repair | 23 (100%) |
| −0.5 (88%) |
| −1.6 (83%) |
The percentage of overlap with the original list of genes in that pathway to estimate the degree of representation of each pathway in every sample.
FC; fold change.