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. 2021 Jan 1;11(1):e273. doi: 10.1002/ctm2.273

Repressed hypoxia inducible factor‐1 in diabetes aggravates pulmonary aspergillus fumigatus infection through modulation of inflammatory responses

Yao Ye 1,2, Yu Chen 3, Jianjun Sun 1, Hanyin Zhang 1, Wenyang Li 1, Wei Wang 1,, Xiaowei Zheng 4,*, Sergiu‐Bogdan Catrina 4,5,6,*
PMCID: PMC7775987  PMID: 33463058

Dear Editor,

Patients with diabetes have increased risk for infection, develop more severe infections, and have higher mortality compared with the general population. 1 Aspergillus fumigatus (A. fumigatus) is the most common opportunistic aerial fungal pathogen that causes fatal invasive pulmonary aspergillosis (IPA) in immunocompromised patients. 2 It has been suggested that diabetes is an independent risk factor for invasive aspergillosis in non‐immunocompromised patients. 3 However, the underlying mechanism for the increased susceptibility of diabetic patients to A. fumigatus infection is still unclear.

The results from this study showed that diabetes was an independent risk factor for long‐term hospital stay of fungal pneumonia, indicating that the fungal pneumonia has a poor prognosis in patients with diabetes (Tables S1 and S2). We further investigated the influence of diabetes on pulmonary A. fumigatus infection using a streptozotocin‐induced mouse model of diabetes. We found a more severe course of the pulmonary A. fumigatus infection in diabetic mouse demonstrated by significantly reduced survival rate and clearance of A. fumigatus (Figures 1A‐1D), in addition to the reported increased fungal burden 24 hours post‐pulmonary A. fumigatus infection. 4

FIGURE 1.

FIGURE 1

Diabetes reduces the survival rate and clearance of A. fumigatus, increases inflammatory responses and inhibits HIF‐1α induction in pulmonary A. fumigatus infection. Diabetic or nondiabetic mice were mock‐infected or received 5 × 108 A. fumigatus conidia (A. f) intratracheally. A, Survival rate of the mice (n = 5, log‐rank test). B, Colony forming unit (CFU) counts per gram of lung tissue on indicated days post A. fumigatus challenge. N.d. denotes A. fumigatus was not detected (n = 5). C, Representative images of immunofluorescent staining of A. fumigatus (green) and DAPI (blue) in lung sections on indicated days post inoculation. Scale bars = 100µm. White arrows indicate positive staining of A. fumigatus conidia and hyphae. D, Quantification of the green fluorescence intensity of A. fumigatus (n = 5). B and D, *< .05 analyzed using unpaired Student's t‐test. E, Quantification of leukocyte infiltration in panel F. F, Representative images of H&E staining of lung tissues harvested on indicated days post A. f inoculation. Scale bars = 100µm. G, Cytokine levels in serum on indicated days before (Day 0) and after A. fumigatus inoculation (n = 4 ‐ 5). E and G, *< .05 compared between nondiabetic and diabetic groups analyzed using two‐way ANOVA followed by Bonferroni post‐hoc test. #, < .05 compared with Day 0 in nondiabetic group using One‐way ANOVA followed by Fisher's LSD test. H, Representative images of HIF‐1α and β‐actin western blots. I, Quantification of HIF‐1α protein expression normalized to β‐actin (n = 5). *< .05 analyzed for each day using RM One‐way ANOVA followed by Holm‐Sidak multiple comparisons test. Data are shown as mean ± SEM

The inflammatory and immune responses are both critical for the host defense against pulmonary A. fumigatus infection. 5 A proper inflammatory response is fundamental for the clearance of the fungal infection. However, an overactive immune response with abrupt and massive release of cytokines referred to as hypercytokinemia or cytokine storm, can be more toxic than the invading pathogens themselves. 6 In diabetic mice, pulmonary A. fumigatus infection induced overactivated inflammatory responses demonstrated by significantly increased and persistent leukocyte infiltration in the lung (Figures 1E and 1F) and remarkably elevated expression of plasma cytokines (Figure 1G). The abnormal response was most obvious in the early stage of infection. Transcriptome analysis of the lung tissue on the second day post‐infection revealed that the most enriched biological processes activated in diabetes were related with inflammatory and immune responses, such as cytokine‐cytokine receptor interaction, tumor necrosis factor (TNF) signaling pathway, nucleotide binding oligomerization domain‐like (NOD‐like) receptor, and Toll‐like receptor (TLR) signaling pathways (Figures 2J‐2L and 2N). Taken together, these results show that in diabetes there is a rapid overactive inflammatory response following pulmonary A. fumigatus infection which contributes to an increased lethality.

FIGURE 2.

FIGURE 2

HIF‐1α induction attenuates the pulmonary infection and the inflammatory responses after pulmonary A. fumigatus infection in diabetic mice. Diabetic mice were injected with DMOG (300 mg/kg, i.p.) or vehicle every other day for 1 week before and 2 weeks after inoculation of 5 × 108 A. fumigatus conidia i.t. (A. f). A, Representative images of HIF‐1α and β‐actin western blots. B, Quantification of HIF‐1α protein expression normalized to β‐actin (n = 5). *< .05 analyzed for each day using paired Student's t‐test. C, Survival rate of vehicle‐ or DMOG‐treated diabetic mice with pulmonary A. fumigatus infection (log‐rank test). D, Colony forming unit (CFU) counts per gram of lung tissue on indicated days post A. fumigatus challenge. N.d. denotes A. fumigatus were not detected (n = 5). E, Representative images of immunofluorescent staining of A. fumigatus (green) and DAPI (blue) in lung sections on indicated days post‐inoculation. Scale bars = 100 µm. White arrows indicate positive staining of A. fumigatus conidia and hyphae. F, Quantification of the green fluorescence intensity of A. fumigatus (n = 5). D and F, *< .05 analyzed using unpaired Student's t‐test. G, Quantification of leukocyte infiltration (n = 5). *< .05 compared between nondiabetic and diabetic groups analyzed using two‐way ANOVA followed by Bonferroni post‐hoc test. H, Representative images of H&E staining of lungs harvested on indicated days post‐A. f inoculation. Scale bars = 100µm. I, Cytokine levels in serum 2 days after A. fumigatus inoculation (n = 3 ‐ 5). *< .05 analyzed using unpaired Student's t‐test. B‐I, Data are shown as mean ± SEM. J‐O, RNA purified from lung tissues harvested 2 days after A. fumigatus inoculation was used for global transcriptome analysis (n = 3). J, Venn diagram showing the number of deferentially expressed genes (log2 fold change > 2 or < −2, < .01) in different groups, among which 372 genes that were regulated by DMOG were also differentially expressed in diabetes after A. fumigatus infection. K, Heatmap diagram showing the relative expression of the 372 genes that were dysregulated by diabetes and reversed by DMOG treatment. L and N, The top 10 gene ontology biological processes and KEGG pathway in which the 372 genes are involved. P‐values were determined by Fisher's exact test. M, Gene set enrichment analysis (GSEA) showing the enrichment of the genes involved in the inflammatory responses that were affected by diabetes (upper panel) and by DMOG (lower panel). O, venn diagrams showing the leading‐edge subset genes in panel M

Abbreviation: NES, normalized enrichment score.

Hypoxia is characteristically present in the lung of murine models of IPA. 7 Hypoxia inducible factor‐1 (HIF‐1) is the key regulator of the cellular adaptive responses to hypoxia. 8 Emerging evidence has shown that HIF‐1 plays an important role in regulating immunity and inflammation. 7 HIF‐1 signaling is inhibited in diabetes secondary to the hyperglycemia‐induced HIF‐1α destabilization and functional repression. 9 In this study, we found that in nondiabetic mice HIF‐1α expression was not only elevated immediately on day 1 after pulmonary A. fumigatus infection as shown previously, but also persisted until day 14 post‐infection. 4 However, in diabetic mice, the induction of HIF‐1α was blunted at all the time points examined during the course of infection (Figures 1H and 1I) despite the even more hypoxic microenvironment in lung of diabetic mice after A. fumigatus inoculation (Figure S1).

To test the functional relevance of HIF‐1α repression for pulmonary A. fumigatus infection in diabetes, we investigated the effect of dimethyloxalylglycine (DMOG), a prolyl hydroxylase inhibitor known to induce HIF‐1α stabilization even in the presence of hyperglycemia. 10 DMOG was given i.p. every other day starting from 1 week before A. fumigatus inoculation until day 14 post‐A. fumigatus inoculation. Indeed, pharmacological induction of HIF‐1α by DMOG (Figures 2A and 2B) was followed by significant improvement of pulmonary A. fumigatus infection (Figures 2C‐2F) and attenuated inflammatory responses (Figures 2G2I) in diabetic mice despite the same blood glucose levels (Figure S2), confirming a crucial role of HIF‐1 in host defense against A. fumigatus infection in diabetes. However, the application of DMOG after A. fumigatus inoculation lost the protective effect (Figure S3). Protective effect of alleviating pulmonary A. fumigatus infection in diabetes was also observed using specific PHD inhibitor FG‐4592 (Figure S4). Transcriptome analysis revealed that the HIF‐1 induction by DMOG reversed the dysregulated signaling pathways controlling inflammatory responses in diabetes, including cytokine‐cytokine receptor interaction, TNF signaling, NOD‐like receptor, and TLR signaling pathways (Figures 2K, 2M, and 2O; Figure S5). Thus, our results suggest that in diabetes a restoration of HIF‐1 function is not only essential for an effective immune response to control and clear A. fumigatus, but also crucial to dampen the overactive inflammatory responses which have fatal consequences.

In conclusion, our results have shown that the repression of HIF‐1 activation by diabetes during pulmonary A. fumigatus infection is persistent and contributes to an overactive inflammatory response with fatal consequences. Early and long‐term induction of HIF‐1 dampens the inflammation responses and protects diabetic mice against pulmonary A. fumigatus infection, indicating a promising future therapeutic strategy.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

ETHICS APPROVAL

All animal experiments were carried out in accordance with the National Institute of Health guide for the care and use of Laboratory animals, and experimental protocols were approved by the Institutional Animal Care and Use Committee of China Medical University. The clinical study was approved by the Ethical Review Board of the First Hospital of China Medical University.

AUTHOR CONTRIBUTIONS

Study conception and design: Ye, Chen, Sun, Zhang, Li, Wang, Zheng, and Catrina. Laboratory experiments: Ye, Sun, Zhang, and Li. Analysis and interpretation of data: Ye, Wang, Zheng, and Catrina. Drafting of the manuscript: Ye, Wang, Zheng, and Catrina. Revision of the manuscript and final approval: Ye, Chen, Sun, Zhang, Li, Wang, Zheng, and Catrina

Supporting information

Supporting Information

ACKNOWLEDGMENTS

This research was supported by the National Key R&D Program of China (grant number: 2017YFC1309702) the National Natural Science Foundation of China (grant number: 81670085) and grants from Swedish Research Council, Stockholm County Research Council, Stockholm Regional Research Foundation, Bert von Kantzows Foundation, Swedish Society of Medicine, Konung Gustaf V:s och Drottning Victorias Frimurarestifelse, Karolinska Institute's Research Foundations, and Strategic Research Programme in Diabetes.

DATA AVAILABILITY STATEMENT

Data presented in this manuscript are available upon request from the authors.

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Supplementary Materials

Supporting Information

Data Availability Statement

Data presented in this manuscript are available upon request from the authors.


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