Results
To explore a possible role for HIF1α in the pathogenic progression of pancreatitis, we first ascertained HIF1α expression patterns, using an established cerulein-based mouse model of experimental pancreatitis. Cerulein is an analog of the gastrointestinal hormone cholecystokinin, which stimulates acinar cells to produce and secrete digestive enzymes. Consistent with published observations ( Fukuda et al., 2011 ; Mallen-St Clair et al., 2012 ), mice receiving repetitive administration of cerulein over 3 weeks exhibited severe exocrine pancreatic injury, including extensive acinar cell loss, edema, and leukocyte infiltration within 1–3 days after final cerulein administration ( Figures 1A and 1B ). This cerulein model results in a more chronic pancreatitis-like phenotype diagnosed in humans, and exhibits fibrosis ( Lerch and Gorelick, 2013 ). However, unlike human chronic pancreatitis, due to enhanced capacity for pancreatic regeneration in experimental rodents, injury resolves over time after cerulein withdrawal ( Figure 1B ) ( Halbrook et al., 2017 ; Murtaugh and Keefe, 2015 ). Hypoxic cells, identified by positive immunostaining with Hypoxyprobe and HIF1α antibodies, were barely detectable in the normal pancreas, as expected ( Figure 1B ). In contrast, Hypoxyprobe + cells and HIF1α accumulation were widely observed in damaged pancreata from cerulein-treated mice ( Figure 1B ). Concurrent with gradual tissue recovery, pancreatic Hypoxyprobe and HIF1α staining steadily decreased ( Figure S1 ), and disappeared by 21 days after the final cerulein injection ( Figure 1B ). Significantly, human chronic pancreatitis patient samples were also positive for HIF1α immunostaining (7 of 10 samples) ( Figure 1C ), implicating hypoxia and HIF1α as potential contributors to this disease and its resolution.
To investigate the in vivo functions of HIF1α in pancreatitis, we generated cerulein-mediated pancreatitis in p48-Cre;Hif1α fl/fl and Hif1α fl/fl control mice. We previously reported that p48-Cre;Hif1α fl/fl (henceforth Hif1α KO ) animals exhibit efficient pancreas-specific Hif1α deletion and develop normally with no obvious signs of pancreatic dysfunction ( Lee et al., 2016 ). Based on hematoxylin-eosin staining, HIF1α ablation did not result in major histological differences in comparison with controls 3 days after cerulein treatment was discontinued, which corresponds to the “injury phase” ( Figure 2A ). The initial acinar tissue destruction and stromal response to pancreatic injury were comparable between Hif1α KO and controls, as evidenced by Amylase immunofluorescent staining for acinar cell mass, Picrosirius Red staining for fibrosis, and immunohistochemical and flow cytometric analyses of CD45 + cells for leukocyte infiltration ( Figures 2B–2G ). As expected, control animals demonstrated nearly complete regeneration of pancreatic tissue by day 21 ( Figures 2A–2G ). In direct contrast, Hif1α KO mice failed to complete the regenerative response to cerulein-mediated inflammatory injury, as demonstrated by persistent acinar cell loss, severe interlobular/intralobular spaces, immune infiltrates, and fibrosis ( Figures 2A–2G ). Moreover, a pronounced decrease in proliferating epithelial cells was detected in regenerating Hif1α KO pancreata ( Figures S2A and S2B ). Interestingly, both Hif1α KO and Hif1α fl/fl mice displayed abundant metaplastic lesions ( Figure 2A ) and comparable numbers of Sox9 + progenitor cells ( Figures S2C and S2D ), suggesting that HIF1α expression is not required for acinar-to-ductal metaplasia. An additional 21 day recovery period, i.e., 42 days post-cerulein treatment, eventually prompted substantial regeneration of Hif1α KO pancreata, albeit with incomplete resolution of inflammation ( Figures S2E-S2J ). Together, these data indicate that HIF1α is dispensable for initial pancreatic injury caused by cerulein, but required for efficient pancreatic regeneration and resolution of inflammation and fibrosis.
To gain mechanistic insights into how HIF1α loss compromises pancreatic regeneration, we characterized immunomodulation by HIF1α during inflammatory injury and recovery. Flow cytometric analysis of pancreatic tissue revealed that relative percentages of macrophages, myeloid-derived suppressor cells (MDSC), dendritic cells, T cells, and B cells among all CD45 + immune cells are comparable between Hif1α KO and controls during the injury phase ( Figure S3A ), suggesting that pancreatic HIF1α is largely dispensable for initial immune responses to cerulein-mediated injury. However, at day 7, which corresponds to the “regeneration phase”, the relative proportions of macrophages and B cells were significantly different between Hif1α KO and control pancreata ( Figure 3A ). Hif1α deletion did not change the frequencies of CD4 + and CD8 + T cells ( Figure S3B ), or expression of lineage-specific transcription factors for CD4 + T-cell subsets (e.g., Tbx21 for Th1, Gata3 for Th2, Rorc for Th17, and Foxp3 for Treg) ( Figure S3C ). Whereas the absolute numbers of macrophages were comparable ( Figure S3D ), both the percentage and absolute number of B cells were markedly increased in Hif1α KO pancreata compared with their Hif1α fl/fl counterparts ( Figures 3A and 3B ), implicating selective modulation of B cell recruitment upon HIF1α ablation during the regeneration phase. Of note, Hif1α KO mice also exhibited increased numbers of CD45 + pancreatic leukocytes compared to controls at day 7 ( Figure S3E ), although this difference did not achieve statistical significance ( P = 0.06). Elevated numbers of intrapancreatic B cells in Hif1α KO samples at day 7 were preceded by increased levels of Cxcl13 , a key B-cell chemoattractant, at day 3 ( Figure 3C ). Pancreatic Cxcl13 expression decreased over the course of tissue regeneration ( Figure S3F ), consistent with diminution of hypoxia ( Figure 1B ) and B cell numbers ( Figure S3G ). Importantly, B cells were found within the injured pancreatic parenchyma from both murine ( Figure 3D ) and human pancreatitis (9 of 10 samples) ( Figures 3E and 3F ), supporting a potential role for B cells in the progression of human pancreatitis.
The contribution of B cells to tissue injury and regeneration has been addressed in multiple experimental models ( Ammirante et al., 2013 ; de Visser et al., 2005 ; Jang et al., 2010 ; Novobrantseva et al., 2005 ; Zouggari et al., 2013 ); however, B cell function(s) in the setting of pancreatic injury and repair have remained obscure. As impaired pancreatic regeneration upon Hif1α deletion coincides with a selective accumulation of B cells, we evaluated the effects of B cell depletion on pancreatic regeneration in cerulein-treated mice. Administration of αCD20 monoclonal antibodies (αCD20 mAb) at days 1 and 7 following the final cerulein injection efficiently depleted B cells (>90%) in the pancreas, spleen, and peripheral blood of both Hif1α KO and Hif1α fl/fl mice ( Figures 4A–4D ). When comparing isotype control IgG2a-treated and αCD20 mAb-treated cohorts at a later stage of regeneration (day 14 after the cessation of cerulein administration), it became apparent that B cell depletion significantly accelerated regeneration of both Hif1α KO and Hif1α fl/fl pancreatic tissues, as shown by increased acinar cell area and decreased fibrosis and immune infiltration ( Figures 4E–4H ). Notably, intrapancreatic B cell numbers and the extent of tissue regeneration in Hif1α fl/fl and Hif1α KO animals treated with isotype control antibodies in this phase of recovery (day 14) were similar ( Figures 4B and 4E–4H ). Thus, while hypoxic regulation of B cell trafficking peaks at day 7 and fades, anti-regenerative phenotypes due to excessive B cell accumulation in Hif1α KO pancreata take 21 days to be fully manifested. Importantly, a reduction in total pancreatic immune infiltrates was 2-fold greater than B cell loss upon αCD20 mAb treatment (14x10 5 CD45 + leukocyte reduction vs 7x10 5 CD19 + B cell depletion, irrespective of HIF1α status) ( Figures 4B and 4H ), indicating that decreased immune cell infiltration is not merely a reflection of B cell depletion. αCD20 mAb treatment led to an increase in the percentage (but not absolute number) of intrapancreatic macrophages ( Figures S4A and S4B ) due to a prominent decrease in the absolute number of total pancreatic immune cells ( Figure 4H ). B cell depletion had no effect on MDSC, dendritic cell, CD4 + T cell, and CD8 + T cell percentages ( Figures S4A and S4C ), or the relative proportions of M1-like (CD86 + MHCII + F4/80 + CD11b + ) and M2-like (CD206 + F4/80 + CD11b + ) macrophages ( Figures S4D and S4E ) in this context. Interestingly, splenic B cell numbers were increased in Hif1α KO mice at day 14 ( Figure 4C ) and returned to baseline at day 21 ( Figure S4F ), implying a systemic immune reaction to pancreatic HIF1α ablation. Collectively, our findings suggest that B cell depletion enhances pancreatic regeneration and that HIF1α deficiency impedes regeneration by promoting intrapancreatic B-cell accumulation.
Discussion
Hypoxia is a common trait of tissue injury, and serves as a pivotal regulator of tissue responses to injury and repair. Previous studies demonstrated that hypoxia and subsequent HIF1α induction accelerate tissue regeneration in the heart and axon ( Cho et al., 2015 ; Nakada et al., 2017 ). We show here that hypoxia and HIF1α accumulation occur during experimental pancreatitis, and that HIF1α is critical for optimal pancreatic regeneration following injury. Our observations support the notion that HIF1α, a key regulator of hypoxic adaptations, promotes the regenerative processes of damaged, inflamed, and hypoxic pancreata to regain tissue integrity and homeostasis. Of note, two recent studies have reported contribution of HIF1α to intrapancreatic coagulation and injury response during experimental acute pancreatitis ( Park et al., 2018 ), and onset of chronic pancreatitis by HIF2α overexpression in mice ( Schofield et al., 2018 ). These results, along with our findings suggest that hypoxia affects multiple biological aspects of pancreatitis, and the two HIFα isoforms play distinct roles in this disease.
Interestingly, we found that delayed tissue regeneration by pancreatic HIF1α deficiency is coupled to aberrant B cell accumulation in the pancreas. B cells have been shown to interfere with reparative processes in certain tissue types, including heart, liver, and kidney ( Jang et al., 2010 ; Novobrantseva et al., 2005 ; Zouggari et al., 2013 ); however, the importance of B cells in pancreatic regeneration has remained obscure. B cell depletion following pancreatitis revealed that B cells inhibit pancreatic regeneration, and that HIF1α regulates regenerative processes by limiting intrapancreatic B cell accumulation. Future studies will define the molecular mechanisms responsible for anti-regenerative properties of B cells in the injured pancreas.
Our recent work showed that HIF1α ablation dramatically accelerates early pancreatic tumorigenesis, accompanied by significantly increased numbers of B lymphocytes within neoplastic lesions ( Lee et al., 2016 ). While this was somewhat surprising, HIF1α can function as a tumor suppressor in other cancers as well ( Kaelin, 2017 ). The finding that HIF1α ablation augments B cell infiltration in the context of pancreatitis thus reinforces a link between HIF1α and B cell trafficking. We observed that the expression of CXCL13 (a B-cell chemoattractant) is elevated upon cerulein-induced pancreatitis, and further increased by HIF1α deficiency. This is also consistent with our previous demonstration of increased CXCL13 downstream of Hif1α deletion during pancreatic oncogenesis ( Lee et al., 2016 ), implicating CXCL13 as a critical chemotactic factor for B cell recruitment to diseased pancreata. The precise mechanism for CXCL13 regulation by HIF1α remains to be determined.
Failure to resolve acute inflammation following tissue injury triggers chronic inflammation that contributes to tumor development and progression ( Shalapour and Karin, 2015 ). Given the pro-tumorigenic impact of B cells on pancreatic cancer ( Gunderson et al., 2016 ; Lee et al., 2016 ; Pylayeva-Gupta et al., 2016 ), as well as our observation that B cell depletion increases exocrine tissue regeneration with substantially reduced overall immune infiltration and fibrosis, B cells are likely a crucial immune component for establishing chronic inflammatory states, which in turn promote tumorigenesis.
In conclusion, our study unveils HIF1α as an important pro-regenerative factor in the pancreas. We also show that B cells suppress pancreatic regeneration, and their trafficking and/or function are modulated by hypoxia and HIF1α in the setting of pancreatitis. Importantly, targeting B cells via αCD20 monoclonal antibodies or Bruton tyrosine kinase (BTK) inhibitors represents potential therapeutic avenues to treat pancreatitis patients. As FDA-approved B cell-targeting agents already exist ( Kipps et al., 2017 ), their potential for the treatment of pancreatitis could be rapidly evaluated. Notably, the BTK inhibitor ibrutinib improved survival rates in mouse models of pancreatic cancer ( Gunderson et al., 2016 ; Masso-Valles et al., 2015 ), and B cell-targeted approaches could thus have beneficial actions on both pancreatitis and pancreatic cancer.
Experimental
All animal protocols were reviewed and approved by the Institutional Animal Care and Use Committee of the University of Pennsylvania. The Hif1α fl/fl and p48-Cre strains have been previously described ( Kawaguchi et al., 2002 ; Ryan et al., 2000 ), and wild-type mice were purchased from Jackson Laboratory. All experimental mice were on the C57BL/6 genetic background, and a mix of male and female. Pancreatitis was induced in 6–8 week old mice by 7 hourly intraperitoneal injections of 50 ng/g body weight cerulein (Sigma-Aldrich) per day, 3 days a week, for 3 weeks. Where indicated, mice received intraperitoneal injections with isotype control mouse IgG2a (C1.18.4, #BE0085, BioXcell) or mouse IgG2a anti-mouse CD20 mAb (5D2, a kind gift from Genentech) at 10 mg/kg at day 1 and day 7 after the final cerulein injection. Pancreata were harvested at the indicated time points.
Pancreata were fixed in 4% paraformaldehyde/PBS (4°C, overnight) and processed for paraffin-embedding. For histological analysis, deparaffinized sections (5 μm) were stained with Harris hematoxylin and eosin or Picric acid-Sirius red (all from Sigma-Aldrich) followed by alcohol dehydration series and mounting.
For immunohistochemistry, slides were quenched in 0.6% hydrogen peroxide/methanol for 15 min, and boiled for 20 min in 10 mM sodium citrate (pH 6.0) for antigen retrieval. Sections were blocked with 5% serum/1% BSA/0.5% Tween-20 for 1 hour. Slides were incubated with primary antibodies diluted in blocking buffer overnight at 4 ° C. Following the primary antibody, slides were incubated with biotinylated secondary antibodies followed by ABC solution and developed with 3,3’-diaminobenzidine (all from Vector Laboratories). Slides were counterstained with hematoxylin, dehydrated, and mounted with Permount (Fisher), and then examined on a Leica DM5000B microscope. The following antibodies were used: rat anti-B220 (RA3–6B2, #557390, 1:400, BD Biosciences), rat anti-CD45 (30-F11, #550539, 1:200, BD Biosciences), and rabbit anti-HIF1α (#ab2185, 1:5000, Abcam).
For immunofluorescence, slides were boiled for 20 min in 10 mM sodium citrate (pH 6.0) for antigen retrieval and blocked with 5% serum/0.3% Triton X-100 for 1 hour. Sections were incubated with primary antibodies diluted in 1% BSA/0.3% Triton X-100 overnight at 4°C, and were then incubated with Alexa Fluor-labeled secondary antibodies (Invitrogen) diluted in 1% BSA/0.3% Triton X-100 for 1 hour. Slides were counterstained with Hoechst 33342 (Invitrogen), and mounted in Prolong Gold antifade reagent (Invitrogen). Fluorescence images were acquired using an Olympus IX81 microscope. The following antibodies were used: rabbit anti-Amylase (#A1978, 1:200, Sigma-Aldrich), mouse anti-E-cadherin (#610181, 1:200, BD Biosciences), rabbit anti-Ki67 (#ab15580, 1:1000, Abcam), and rabbit anti-Sox9 (#AB5535, 1:4000, Millipore).
For quantification of acinar cell mass and fibrosis, Amylase and Picrosirius Red positive areas were measured respectively via morphometric analysis using ImageJ.
Mice received injection intraperitoneally with 60 mg/kg of Hypoxyprobe (pimonidazole hydrochloride, Hypoxyprobe, Inc) and sacrificed 1.5–2 hours later. To detect the formation of pimonidazole adducts, pancreatic tissue sections (paraffin-embedded) were immunostained with Hypoxyprobe-1-MAb1 (Hypoxyprobe-1 Plus kit, Hypoxyprobe, Inc) following the manufacturer’s instructions.
Human pancreatic tissue sections (3 normal and 10 chronic pancreatitis samples) were obtained from the Cooperative Human Tissue Network (CHTN) and handled at the University of Pennsylvania with the approval of its institutional review board committees. All tissues were collected with the donor being informed and given consent, and anonymized prior to being provided to the investigators. Immunohistochemical analysis was performed as described above. The following antibodies were used: mouse anti-human CD20 (FB1, #555677, 1:1000, BD Biosciences) and mouse anti-human HIF1α (HA111, #NB100–296, 1:250, Novus).
Single cell suspensions from mouse pancreas, spleen, and blood were prepared as previously described ( Lee et al., 2016 ). Cells were stained in PBS/0.5% FBS/2 mM EDTA with the following fluorochrome-conjugated antibodies: V450-conjugated anti-CD3 (500A2, #560801, 1:100), APC-Cy7-conjugated anti-CD11b (M1/70, #561039, 1:50), V450-conjugated anti-CD11c (HL3, #560521, 1:100), APC-conjugated anti-CD19 (1D3, #550992, 1:200), PE-Cy7-conjugated anti-CD45 (30-F11, #552848, 1:100), V500-conjugated anti-CD45 (30-F11, #561487, 1:100), V450-conjugated anti-Gr1 (RB6–8C5, #560454, 1:200) (from BD Biosciences); APC-conjugated anti-CD86 (GL1, #17–0862, 1:100), PE-conjugated anti-F4/80 (BM8, #12–4801, 1:100) (from eBioscience); FITC-conjugated anti-CD206 (MR5D3, #MCA2235FT, 1:50) (from AbD Serotec); PE-Cy7-conjugated anti-MHCII (M5/114.15.2, #107629, 1:100) (from BioLegend). The viability marker 7-aminoactinomycin D (7-AAD) was purchased from BD Biosciences. Flow cytometry was performed on a FACSCanto flow cytometer (BD Biosciences), and data was analyzed using FlowJo software.
Total RNA was isolated from pancreatic tissues using the RNeasy mini kit (Qiagen). cDNA was synthesized using a High Capacity RNA-to-cDNA Master Mix (Applied Biosystems). PCR reactions were performed using TaqMan Universal PCR regents mixed with indicated cDNAs and TaqMan primers in a ViiA7 Real-Time PCR system (Applied Biosystems). Expression levels were normalized by 18S rRNA .
Data were analyzed using GraphPad Prism 7 software. Statistical tests with normally distributed variables included 2-tailed Student’s t test and 2-way ANOVA. D’Agostino and Pearson test and/or Shapiro–Wilk test was used to test the normality of sample distribution. When variables were not normally distributed, we performed non-parametric Mann-Whitney test. Bonferroni correction was applied for multiple comparisons. P value < 0.05 was considered statistically significant.
Introduction
Tissue injury often results in inflammation and subsequent regenerative responses to restore tissue integrity and homeostasis. However, persistent inflammation and tissue remodeling can also lead to chronic inflammatory diseases, leading to increased likelihood of tumor initiation. Pancreatitis, or inflammation of the pancreas, is one of the most prevalent gastrointestinal conditions resulting in hospitalization ( Forsmark et al., 2016 ). Recurrent acute pancreatitis can develop into chronic pancreatitis, marked by progressive tissue destruction and persistent inflammation and fibrosis ( Braganza et al., 2011 ). Chronic pancreatitis is highly linked with an increased risk of pancreatic cancer in humans ( Lowenfels et al., 1993 ), and mice with experimentally induced pancreatitis exhibit accelerated tumorigenesis ( Guerra et al., 2007 ).
Inflammatory diseases are often characterized by tissue hypoxia, or oxygen (O 2 ) deprivation, caused by vascular damage, edema, and intense metabolic activity of both regenerating tissue and infiltrating immune cells ( Eltzschig and Carmeliet, 2011 ). Transcriptional adaptation to hypoxic stress is largely coordinated by hypoxia-inducible factors (HIFs) ( Nakazawa et al., 2016 ). Specifically, hypoxic stress inhibits normal proteasomal degradation of HIFα subunits (HIF1α and HIF2α), resulting in HIFα protein accumulation. Once stabilized, HIF1α activates the transcription of numerous genes mediating metabolic adaptations, angiogenesis, cell survival, metastasis, and inflammation ( Lee and Simon, 2015 ; Schito and Semenza, 2016 ). HIF1α protein is detected in multiple inflammatory disorders, such as inflammatory bowel disease and acute lung injury, and has profound effects on disease pathogenesis and outcomes ( Palazon et al., 2014 ). HIF1α is also highly expressed in human chronic pancreatitis ( Crnogorac-Jurcevic et al., 2005 ). Moreover, pancreas-specific Hif1α deletion promotes Kras G12D -driven pancreatic tumorigenesis with dramatic stromal expansion ( Lee et al., 2016 ). However, the impact of HIF1α on pancreatitis has remained largely unknown.
Here, using cerulein-induced experimental pancreatitis and pancreas-specific HIF1α-deficient mice, we show that HIF1α ablation in pancreatic epithelium impairs tissue regeneration following inflammatory injury, accompanied by excessive intrapancreatic accumulation of B lymphocytes. Our study reveals that B cells are a negative regulator of tissue regeneration and a critical mediator of hypoxic influences on pancreatitis.
Supplementary Material
Cerulein was administered to WT mice as described in Figure 1A .
Hematoxylin and eosin (H&E) or immunohistochemical staining for Hypoxyprobe or HIF1α in pancreata harvested at the indicated time points. Insets show higher magnified view of the same field. Arrowheads point to representative positive staining. Scale bars for H&E, 300 μm. Scale bars for Hypoxyprobe and HIF1α, 50 μm.
Cerulein was administered to Hif1α fl/fl and Hif1 a KO mice as described in Figure 1A .
(A and B) Double immunofluorescence staining for Ki67 and E-cadherin in pancreata harvested at day 7 after final cerulein injection and corresponding quantification. ( n ≥ 7 mice per group, n =4 FOV per animal). Scale bars, 100 μm.
(C and D) Double immunofluorescence staining for Sox9 and E-cadherin in pancreata harvested at day 3 after final cerulein injection and corresponding quantification. ( n ≥ 7 mice per group, n =4 FOV per animal). Scale bars, 100 μm.
(E–J) Characterization of pancreata harvested at day 42 after final cerulein injection.
(E) H&E staining of pancreata. Insets show higher magnified view of the same field. Scale bars, 300 μm.
(F and G) Immunofluorescence staining for Amylase in pancreata (F) and corresponding quantification (G) ( n ≥ 7 mice per group, n = 3 FOV per animal). Scale bars, 100 μm.
(H and I) Picrosirius Red staining of pancreata (H) and corresponding quantification (I) ( n ≥ 7 mice per group, n = 3 FOV per animal). Scale bars, 100 μm.
(J) Absolute numbers of CD45 + immune cells in the pancreas as analyzed by flow cytometry ( n ≥ 7 mice per group). Symbols represent individual mice with a horizontal bar at the mean.
The data in (B, D, G, and I) are shown as the mean ± s.e.m. FOV, fields of view. * P < 0.05; Student’s t test (B, D, G, I, and J).
Cerulein was administered to Hif1α fl/fl and Hif1 a KO mice as described in Figure 1A .
(A) Flow cytometry analysis of immune infiltrates from pancreata harvested at day 3 after final cerulein injection. Percentage of MΦ, MDSC, DC, T, and B cells among live CD45 + immune cells ( n ≥ 6 mice per group).
(B) Flow cytometry analysis of immune infiltrates from pancreata harvested at day 7 after final cerulein injection. Percentage of CD4 + and CD8 + T cells among live CD45 + immune cells ( n ≥ 6 mice per group).
(C) Quantitative RT-PCR analysis of mRNA encoding CD4 and the indicated lineage-specific transcription factors ( Tbx21 for Th1, Gata3 for Th2, Rorc for Th17, and Foxp3 for Treg) in pancreata harvested at day 7 after final cerulein injection ( n ≥ 7 mice per group).
(D and E) Absolute numbers of MΦ (D) and CD45 + immune cells (E) in pancreata harvested at day 7 after final cerulein injection as analyzed by flow cytometry ( n ≥ 6 mice per group).
(F) Quantitative RT-PCR analysis of Cxcl13 in pancreata harvested at the indicated time points ( n ≥ 7 mice per group).
(G) Absolute numbers of CD19 + B cells in pancreata harvested at day 21 after final cerulein injection as analyzed by flow cytometry ( n ≥ 5 mice per group).
Symbols in (A, B, D, E, and G) represent individual mice with a horizontal bar at the mean. The data in (C and F) are shown as the mean ± s.e.m. NS, not significant. Student’s t test (A, D, E, and G), Mann Whitney test (B and C), Mann Whitney test with Bonferroni post-test (F).
Hif1α fl/fl and Hif1 a KO mice treated with cerulein and αCD20 mAb as described in Figure 4A .
(A–E) Flow cytometry analysis of immune infiltrates from pancreata harvested at day 14 after final cerulein injection. Legend on (A) also applies to (B–E).
(A) Percentage of MΦ, MDSC, DC, T, and B cells among live CD45 + immune cells ( n ≥ 6 mice per group).
(B) Absolute numbers of MΦ ( n ≥ 6 mice per group).
(C) Percentage of CD4 + and CD8 + T cells among live CD45 + immune cells ( n ≥ 6 mice per group).
(D and E) Percentage of CD86 + MHCII + CD11b + F4/80 + M1-like MΦ (D) and CD206 + CD11b + F4/80 + M2-like MΦ (E) among total CD11b + F4/80 + MΦ ( n ≥ 6 mice per group).
(F) Absolute numbers of CD19 + B cells in spleens harvested at day 21 after final cerulein injection as analyzed by flow cytometry ( n ≥ 5 mice per group).
Symbols represent individual mice with a horizontal bar at the mean. * P < 0.05, ** P < 0.01; Mann Whitney test with Bonferroni post-test (A, C, and E) two-way ANOVA with Bonferroni post-test (B and D), Student’s t test (F).
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