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ORIGINAL RESEARCH article

Front. Med., 24 September 2021
Sec. Pulmonary Medicine
Volume 8 - 2021 | https://doi.org/10.3389/fmed.2021.736485

The Extent of Inflammatory Cell Infiltrate and Fibrosis in Lungs of Telomere- and Surfactant-Related Familial Pulmonary Fibrosis

  • 1Department of Pulmonology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, Netherlands
  • 2Department of Pathology, DNA Pathology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, Netherlands
  • 3Department of Pathology, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, Netherlands
  • 4Department of Pathology, University Medical Center Utrecht, Utrecht, Netherlands
  • 5Center of Translational Immunology, University Medical Center Utrecht, Utrecht, Netherlands
  • 6Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, Netherlands
  • 7Department of Clinical Chemistry, St Antonius ILD Center of Excellence, St Antonius Hospital, Nieuwegein, Netherlands

Familial pulmonary fibrosis (FPF) is a monogenic disease most commonly involving telomere- (TERT) or surfactant- (SFTP) related mutations. These mutations have been shown to alter lymphocytic inflammatory responses, and FPF biopsies with histological lymphocytic infiltrates have been reported. Recently, a model of a surfactant mutation in mice showed that the disease initially started with an inflammatory response followed by fibrogenesis. Since inflammation and fibrogenesis are targeted by different drugs, we investigated whether the degree of these two features co-localize or occur independently in different entities of FPF, and whether they influence survival. We quantified the number of lymphocyte aggregates per surface area, the extent of diffuse lymphocyte cell infiltrate, the number of fibroblast foci per surface area, and the percentage of fibrotic lung surface area in digitally scanned hematoxylin and eosin (H&E) sections of diagnostic surgical biopsies of patients with TERT-related FPF (TERT-PF; n = 17), SFTP-related FPF (SFTP-PF; n = 7), and sporadic idiopathic pulmonary fibrosis (sIPF; n = 10). For comparison, we included biopsies of patients with cellular non-specific interstitial pneumonia (cNSIP; n = 10), an inflammatory interstitial lung disease with high lymphocyte influx and usually responsive to immunosuppressive therapy. The degree of inflammatory cell infiltrate and fibrosis in TERT-PF and SFTP-PF was not significantly different from that in sIPF. In comparison with cNSIP, the extent of lymphocyte infiltrates was significantly lower in sIPF and TERT-PF, but not in SFTP-PF. However, in contrast with cNSIP, in sIPF, TERT-PF, and SFTP-PF, diffuse lymphocyte cell infiltrates were predominantly present and lymphocyte aggregates were only present in fibrotic areas (p < 0.0001). Furthermore, fibroblast foci and percentage of fibrotic lung surface were associated with survival (p = 0.022 and p = 0.018, respectively), while this association was not observed for lymphocyte aggregates or diffuse lymphocytic infiltration. Inflammatory cells in diagnostic lung biopsies of TERT-PF, SFTP-PF, and sIPF were largely confined to fibrotic areas. However, based on inflammation and fibrosis, no differences were found between FPF and sIPF, substantiating the histological similarities between monogenic familial and sporadic disease. Furthermore, the degree of fibrosis, rather than inflammation, correlates with survival, supporting that fibrogenesis is the key feature for therapeutic targeting of FPF.

Introduction

Familial pulmonary fibrosis (FPF) is a devastating interstitial lung disease (ILD) characterized by progressive scarring of lung parenchyma, most commonly manifesting as idiopathic pulmonary fibrosis (IPF) (1).

Current international guidelines state that although FPF develops at an earlier age (2) and the high-resolution computed tomography (HRCT) might differ (3), FPF and sporadic idiopathic pulmonary fibrosis (sIPF) are clinically and histologically indistinguishable (1, 4). However, the studies upon which this statement is based compared sIPF with the familial disease of unknown genetic etiology. Since then, it was discovered that nearly half of the FPF patients harbored disease-causing mutations (5). The mutated genes discovered in FPF can be subdivided into genes involved in telomere maintenance, most commonly in the telomerase reverse transcriptase (TERT) gene, and in genes involved in surfactant protein C, A1, and A2 (SFTPC, SFTPA1, and SFTPA2) (612). While telomere dysfunction is a systemic disease that can cause immunodeficiency (13, 14), for example, common variable immunodeficiency disease (15, 16), genetic variations in surfactant genes were also associated with changes in immune cell activation and severity of infection (17). Moreover, lungs of patients with SFTP mutations have been frequently described to contain lymphocytic infiltrates and were sometimes classified as desquamative interstitial pneumonia, organizing pneumonia, or cellular non-specific interstitial pneumonia (cNSIP) (12, 1820). cNSIP is an inflammatory interstitial lung disease characterized by a high lymphocyte influx in the lungs and a diffuse fibrotic component (21). Furthermore, a genetic surfactant protein C deficiency was reported to be associated with pulmonary infections in childhood and immunosuppressive treatment is often beneficial in these patients (22), as well as in adults with cNSIP (21). Studies in SFTP-knockout mice and alveolar epithelial cell models showed that surfactant protein is important in inflammatory activation and regulation (23, 24). Interestingly, a recent study in a mouse model with heterozygous knockin of the known human SFTPC I73T mutation showed that disease initially started with an inflammatory response [marked by increased numbers of macrophages, neutrophils, eosinophils, and lymphocytes in bronchoalveolar lavage (BAL) fluid] followed by fibrogenesis, suggesting that immunosuppressive treatment in early disease may be beneficial (25). Furthermore, inflammation was shown to be associated with disease progression (2628). Altogether, these findings suggest an important inflammatory component in the monogenic inflammatory disease that may be responsive to immunosuppressive drugs. However, immunosuppressive therapies were described to be harmful in patients with sIPF (29, 30), while anti-fibrotic therapy was proven to beneficially reduce the decline in forced vital capacity (FVC) in sIPF and other progressive fibrotic ILD (3134). Therefore, caution is advised and more knowledge on the subject is urgently needed.

A characteristic of IPF lungs is the presence of temporal and spatial heterogeneous fibrosis with fibroblast foci (FF). FF are defined as clusters of matrix-depositing myofibroblasts, located at discrete sites of lung injury. They are considered a marker for the level of fibrosis in IPF lungs (35), and may also relate to the activity of the fibrotic process, since the presence of FF has been associated with the prognosis of IPF (26, 27, 36, 37), although not consistently so (38). Furthermore, by definition lymphocytes are predominantly located in dense fibrotic areas of IPF lungs, rather than in non-fibrotic areas, and are considered to be reactive to the fibrosis.

In this study, we quantified the extent and localization of diffuse lymphocyte cell infiltrate and lymphocyte aggregates as well as the number of fibroblast foci and percentage of fibrotic lung surface in diagnostic biopsies of adult patients with monogenic TERT- and SFTP-associated FPF. These data were compared with data from lung biopsies of patients with sIPF and cNSIP. Furthermore, we investigated whether these parameters were related with survival.

Materials and Methods

Patient and Tissue Selection

Diagnostic lung biopsies of 17 FPF patients with a TERT mutation (TERT-PF), 7 FPF patients with an SFTP (4 SFTPC and 3 SFTPA2) mutation (SFTP-PF), 10 patients with sIPF, and 10 patients with cNSIP were included in this study. FPF was determined when two or more first-degree family members also presented with pulmonary fibrosis. Furthermore, in the sIPF group, familial subjects were excluded and patients were screened negative for mutations in TERT, TERC, surfactant protein C (SFTPC), surfactant protein A2 (SFTPA2) exon 6, and TRF1-interacting nuclear factor 2 (TINF2) exon 6. Upper and lower lobe specimens were both included in the comparison analysis. For the survival analysis, upper and lower lobe data were averaged. Specimens were reviewed by an experienced lung pathologist (MFMvO) and diagnoses were in accordance with the ATS/ERS/JRS/ALAT guidelines (1).

Digital Quantification of Inflammatory Cell Infiltrate and Fibrosis in Diagnostic Lung Biopsies

In this study, hematoxylin and eosin (H&E)-stained tissue sections were used (Figure 1). Sections were scanned for digital images at x20 magnification using ultrafast scanner 1.8 (Philips, The Netherlands) and analyzed at x5 magnification using an image management system (IMS) web application (version 3.2, Philips, The Netherlands) on a calibrated Barco display. All parameters were assessed by two independent pathologists (SNK and MFMvO). In the sections, fibroblast foci (FF) were defined as a group of spindle-shaped myofibroblasts in a matrix of collagen, mostly present in the transition zone of fibrotic and non-fibrotic areas (35). Lymphocyte aggregates (LA) were defined as sharp-edged dense groups of at least 50 lymphocytes. The size of these LAs was irrelevant. Both FFs and LAs were counted and adjusted for the total surface area of the tissue specimen. The amount of diffuse inflammatory cell infiltrate of the whole biopsy was scored using a histological grade from 1 to 4, while in a subanalysis of non-fibrotic and fibrotic areas a percentage was estimated. The histological grades refer to a very little amount 1), a little amount 2), a moderate amount 3), and a severe amount 4) of diffuse inflammatory cell infiltrate. The percentage of fibrotic lung surface was also scored.

FIGURE 1
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Figure 1. Representative Hematoxylin and Eosin (H&E)-stained diagnostic biopsies of FPF/IPF and cNSIP lungs. Images of typical (A) FPF/IPF and (C) cNSIP lung biopsies. (B,D) Magnifications of boxed areas in images (A,C), respectively. Fibroblast foci (asterisk) and lymphocyte aggregates (arrow) were digitally quantified in the whole biopsy and the amount of diffuse inflammatory cell infiltrate (blue-purple nuclei) of the whole biopsy was scored using a histological grade from 1 to 4. Horizontal bars represent a size of 200 μm. FPF, Familial pulmonary fibrosis; IPF, idiopathic pulmonary fibrosis; cNSIP, cellular non-specific interstitial pneumonia; NF, non-fibrotic area; F, fibrotic area.

The digital scoring of the inflammatory cell infiltrate and fibrosis was executed by experienced (MFMvO) and resident (SNK) lung pathologists. In order to master the method and to align the scoring between the pathologists, a study set of 14 biopsies was used. The final scoring for this study was performed on the analysis set. Subanalyses of fibrotic vs. non-fibrotic areas were performed on a randomly selected subset containing five samples each of sIPF, TERT, and SFTP.

Statistical Analysis

Statistical significances were computed using non-parametric tests in GraphPad Prism version 8 (GraphPad Software, San Diego, CA, USA). In all patient groups, no significant differences were found between upper and lower lobe specimens, for all parameters. Therefore, we combined the upper and lower lobe data for each patient group. Differences between inflammatory cell infiltrate and fibrosis were determined by Mann–Whitney tests and combined Kruskal–Wallis and Dunn's multiple comparison tests. Spearman's rank coefficient was used to calculate the correlations between the number of fibroblast foci and the percentage of fibrotic lung surface. Survival was computed using Log-rank (Mantel–Cox) testing on the total population of patients with pulmonary fibrosis (TERT-PF, SFTP-PF, and sIPF combined), and the group was then divided at the median.

Results

Patient Inclusion

Baseline characteristics of included patients are presented in Table 1. According to the American College of Medical Genetics and Genomics (ACMG) classification of genetic variants (39), six SFTP variants were labeled as pathogenic and one was labeled as a variant of uncertain significance. Furthermore, we included 17 patients with a TERT mutation consisting of six pathogenic variants, two likely pathogenic variants, and nine variants of uncertain significance.

TABLE 1
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Table 1. Baseline characteristics of study groups.

Inflammatory Cell Infiltrate in Familial and Sporadic Idiopathic Pulmonary Fibrosis

To study the degree of inflammatory cell infiltrate, we quantified the number of lymphocyte aggregates and the extent of diffuse lymphocyte cell infiltrates in TERT-PF, SFTP-PF, sIPF, and cNSIP lungs. On analyzing whole biopsies, no significant differences in lymphocyte and fibrotic parameters were found among TERT-PF, SFTP-PF, and sIPF study groups (Figures 2A,B). Comparison with cNSIP showed that in TERT-PF and sIPF, significantly less diffuse lymphocyte infiltrates were present. There was no correlation between lymphocyte aggregates and diffuse infiltrates. Detailed subanalysis of inflammatory cell infiltrates in fibrotic vs. non-fibrotic areas showed that lymphocyte aggregates were completely associated while diffuse lymphocyte cell infiltrates were strongly associated with fibrotic areas in TERT-PF, SFTP-PF, and sIPF (Mann–Whitney tests between non-fibrotic and fibrotic areas; p < 0.0001, Figures 2C,D). The number and extent of lymphocyte aberrations in cNSIP biopsies were comparable with that observed in the fibrotic areas of the TERT-PF, SFTP-PF, and sIPF study groups (Figures 2C–G).

FIGURE 2
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Figure 2. Quantification of lymphocyte aggregates and diffuse lymphocyte cell infiltrate. Scatter plots of lymphocyte aggregates (arrows in Figures 1B, 2E) and diffuse lymphocyte cell infiltrate in diagnostic biopsies of 17 TERT-PF, 7 SFTP-PF, 10 sIPF, and 10 cNSIP lungs analyzed (A,B) throughout the biopsy and in (C,D) 5 randomly selected biopsies per group to specifically assess non-fibrotic and fibrotic areas. In whole lung specimens, no significant differences were found between TERT-PF and SFTP-PF groups. In cNSIP lungs, the degree of diffuse lymphocyte cell infiltrate was significantly higher than in sIPF (p = 0.0004) and TERT-PF lungs (p = 0.04, Kruskal–Wallis test). The inflammatory cell infiltrate in non-fibrotic vs. fibrotic areas showed that lymphocyte aggregates and the diffuse lymphocyte cell infiltrate were associated with fibrotic areas in TERT-PF, SFTP-PF, and sIPF lungs (Mann–Whitney tests; p < 0.0001). Also the extent of lymphocyte aggregates (p = 0.0005) and the diffuse lymphocyte cell infiltrate (p < 0.0001) in cNSIP lungs was significantly higher than in non-fibrotic areas in PF lungs. No significant differences were found between fibrotic areas in PF and cNSIP lungs. Horizontal bars represent medians. (E–H) Examples of lymphocyte aggregates and diffuse lymphocyte cell infiltrate in Hematoxylin and Eosin (H&E)-stained diagnostic biopsies; (E) fibrotic area in a TERT-PF case with 3 lymphocyte aggregates (arrows) and (F) grade 2 diffuse lymphocyte cell infiltrate; (G) non-fibrotic area in an sIPF case with no lymphocyte aggregates and grade 1 diffuse lymphocyte cell infiltrate; (H) cNSIP case with grade 4 diffuse lymphocyte cell infiltrate. Horizontal bars represent a size of 200 μm. TERT-PF, Patients with lung fibrosis and a TERT mutation; SFTP-PF, Patients with lung fibrosis and a surfactant mutation; sIPF, Sporadic idiopathic pulmonary fibrosis; cNSIP, Cellular non-specific interstitial pneumonia; LA, Lymphocyte aggregates.

Fibrosis in Familial and Sporadic Idiopathic Pulmonary Fibrosis

Next, we investigated the degree of fibrosis by assessing the number of fibroblast foci and the percentage of fibrotic lung surface in all four patient groups. Similar to the inflammatory cell infiltrate, no differences were found based on these fibrotic parameters among TERT-PF, SFTP-PF, and sIPF lungs (Figures 3A,B,D). Fibroblast foci in cNSIP lungs were almost absent and significantly lower than in sIPF lungs (p = 0.001, Figure 3A) and TERT-PF lungs (p = 0.0009, Figure 3A). Also, the percentage of (diffusely orientated) fibrotic lung surface in cNSIP lungs was significantly lower than in sIPF lungs (p = 0.007, Figure 3B) and SFTP-PF lungs (p = 0.039, Figure 3B). Furthermore, we found a significant moderate correlation between the number of fibroblast foci and the percentage of fibrotic surface in the fibrotic lungs (r = 0.465, p = 0.005, Figure 3C).

FIGURE 3
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Figure 3. Quantification of fibrotic foci and fibrotic lung surface. Scatter plots of (A) the number of fibroblast foci (asterisk in Figure 1B) and (B) the percentage of fibrotic lung surface in diagnostic biopsies of 17 TERT-PF, 7 SFTP-PF, 10 sIPF, and 10 cNSIP lungs. For both parameters, no significant differences were found among TERT-PF, SFTP-PF, and sIPF lungs. The amount of fibroblast foci per mm2 in cNSIP lungs was significantly lower than in sIPF (p = 0.001) and TERT-PF lungs (p = 0.0009), while the percentage of fibrotic lung surface in cNSIP lungs was significantly lower than in sIPF (p = 0.007) and SFTP-PF lungs (p = 0.04). P-values were calculated using Kruskal–Wallis tests. Bars represent medians. (C) Positive Spearman correlation between the number of fibroblast foci and percentage fibrotic lung surface of TERT-PF, SFTP-PF, and sIPF lungs (r = 0.465, p = 0.005). (D) Example of a Hematoxylin and Eosin (H&E)-stained fibrotic area in an SFTP-PF lung containing 5 fibroblast foci (asterisks). Horizontal bar represents a size of 200 μm. TERT-PF, Patients with lung fibrosis and a TERT mutation; SFTP-PF, Patients with lung fibrosis and a surfactant mutation; sIPF, Sporadic idiopathic pulmonary fibrosis; cNSIP, Cellular non-specific interstitial pneumonia; FF, Fibroblast foci.

Elevated Numbers of Fibroblast Foci and a High Percentage of Fibrotic Lung Surface Associated With Low Survival

We investigated whether the number of fibroblast foci, percentage of fibrotic lung surface, number of lymphocyte aggregates, and extent of lymphocyte cell infiltrate were associated with survival. As there were no differences observed among TERT-PF, SFTP-PF, and sIPF groups, we combined the data. Median values of each parameter were used as cut-off. Kaplan–Meier curves showed that both elevated numbers of fibroblast foci (cut-off value: 0.075 FF/mm2, median survival: 85 vs. 20 months; p = 0.022, Figure 4C) and high percentage of fibrosis (cut-off value: 50%, median survival: 82 vs. 17 months; p = 0.018, Figure 4D) were significantly associated with survival. The number of lymphocyte aggregates (cut-off value: 0.062 LA/mm2, p = 0.91, Figure 4A) and the extent of diffuse lymphocyte cell infiltrate (cut-off value: 2.5, p = 0.99, Figure 4B) were not associated with survival.

FIGURE 4
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Figure 4. Survival of the combined TERT-PF, SFTP-PF and sIPF patient cohorts. Kaplan–Meier curves showing the association between survival in months and the degree of (A) lymphocyte aggregates, (B) diffuse lymphocyte cell infiltrate, (C) fibroblast foci, and (D) fibrotic lung surface in 34 patients with pulmonary fibrosis. Median values of each parameter were used as cut-off. For the degree of lymphocyte aggregates and diffuse lymphocyte cell infiltrate, no significant differences were found between survival above (black line) and below median (red line). For the degree of fibroblast foci and fibrotic lung surface, the significant difference in median survival was respectively 65 months (85 vs. 20 months, p = 0.02) and 64.6 months (82 vs. 17.4 months, p = 0.02). Significances were calculated using Log-rank (Mantel–Cox) tests. LA, Lymphocyte aggregates; FF, Fibroblast foci.

Discussion

In this study, we quantified the levels of inflammatory cell infiltrate and fibrosis in FPF with a TERT or SFTP mutation, sIPF, and cNSIP lungs. The degree of inflammatory cell infiltrate and fibrosis were not different among TERT-PF, SFTP-PF, and sIPF lungs. Importantly, inflammatory cell abnormalities were almost exclusively located in the fibrotic areas of the lung, with levels similar to what we observed throughout the biopsies of cNSIP lungs, while non-fibrotic locations were histologically healthy. Furthermore, survival in patients with FPF and sIPF was associated with the number of fibroblast foci and percentage of fibrotic lung surface, but not with inflammatory cell infiltration and aggregation.

Previous reports on SFTP-related FPF lung biopsies frequently described lymphocyte cell infiltrate and used a classification such as desquamative interstitial pneumonia, organizing pneumonia, or cNSIP (12, 1820). Furthermore, it was reported that in mice, induction of SFTP- or TERT-related dysfunctional alveolar epithelial cells was sufficient to cause inflammatory cell infiltrate and fibrosis (25, 40, 41). Since surfactant mutations have been associated with immunological changes (17, 24), we expected the inflammatory status to be higher in SFTP-PF lungs when compared to sIPF lungs. However, we found no differences in the grade of inflammatory cell infiltrate between monogenetic fibrotic lung disease and sIPF, thereby further supporting the histological similarities between pulmonary fibrosis of known and unknown cause.

Interestingly, a comparison of the grade of diffuse lymphocyte cell infiltrate showed no difference between SFTP-PF and cNSIP biopsies. However, while lymphocyte aggregates and diffuse lymphocyte cell infiltrate are present throughout the biopsy of cNSIP lung, they were respectively absent and nearly absent (approximately 10% of the tissue surface) in non-fibrotic areas of SFTP-PF, TERT-PF, and sIPF lungs. Previously it was shown that mice with heterozygous knockin of the known human SFTPC I73T mutation developed early inflammation and no fibrosis, while the development of fibrosis occurred in homozygous mice (25). This study suggested that an early inflammatory phase precedes the development of fibrosis in mice, and disease evolution is influenced by the number of SFTP mutant alleles. In human disease, it is unclear whether inflammation is a cause or consequence of fibrosis. We demonstrated that an inflammatory component was absent in the non-fibrotic areas, suggesting that inflammation does not precede fibrogenesis and may even be reactive to fibrogenesis. Furthermore, in contrast to cNSIP lungs (42, 43), we found no association between lymphocytes and survival in FPF lungs, further supporting that the degree of lymphocyte aberrations in FPF lungs may not contribute significantly to disease pathogenesis (26, 44). In contrast, it has been reported that elevated numbers of lymphocytes are associated with less progressive fibrosis in patients with sIPF (45, 46) and cause resistance to bleomycin in mouse models of pulmonary fibrosis (47).

The role of different lymphocyte subtypes in IPF lungs is currently open to discussion. Previously it has been shown that T-lymphocytes were diffusely present and lymphocyte aggregates were organized in tertiary lymphoid structures, where a core of B-lymphocytes was surrounded by T-lymphocytes (48, 49). Furthermore, even though we showed that the amount of diffuse lymphocyte infiltrate in cNSIP was significantly higher than in IPF, it was previously demonstrated that the amount of different lymphocyte subtypes in IPF lungs did not significantly differ from NSIP lungs (50). However, this does not indicate that subtyping is unimportant. It has been reported that lymphocyte aggregates in IPF consist of active non-proliferating CD40L-positive lymphocytes and mature dendritic cells (49). The presence of these particular cells in IPF lungs might explain the ineffectiveness of anti-inflammatory drugs, because they are less sensitive to these agents (51). Therefore, other drugs targeting the CD40L pathway could potentially be an anti-inflammatory target in IPF. However, although CD40L immunotherapy is used in cancer, future studies should focus on its effectiveness in IPF. Continued efforts to understand the precise role of inflammation and the possible anti-inflammatory treatment in fibrotic lungs remain warranted.

It is important to note that the degree of fibrosis in FPF biopsies was significantly higher than in cNSIP but not sIPF. Combining the PF data we found that the number of fibroblast foci and the percentage of fibrotic lung surface in PF lung were significantly associated with survival. This corresponds to previous findings in sIPF (26, 27, 36, 46) and underlines the critical role of fibrotic remodeling in the outcome of patients with FPF.

Little is known about drug effects in FPF. We recently showed in a review that in patients and cell or mouse models with a surfactant-related mutation, the outcome of drugs was highly variable and most likely mutation-specific (52). Furthermore, immunosuppressive therapies require careful consideration because of the harm caused in patients with sIPF (29, 30), further emphasizing the non-causative role of inflammatory cell infiltrate in these fibrotic lungs. We showed that the absence of lymphocytic abnormalities in non-fibrotic areas of FPF lungs, the similarities with sIPF, and the association between increased fibrosis and decreased survival support fibrogenesis and not inflammation as the primary target for therapy. Since familial disease resembles sIPF, the preferred choices of drugs are antifibrotics pirfenidone and nintedanib (31, 32). However, antifibrotics in SFTP-PF patients have not been studied yet, and a previous small retrospective study including 33 TERT-PF patients treated with pirfenidone demonstrated no beneficial effect post treatment initiation (53). These data emphasize the need for prospective FPF gene or mutation-specific therapies and registration of treatment effects of current antifibrotic drugs. However, a recent retrospective European study on the effect of antifibrotics in 89 IPF patients carrying telomere-related mutations showed that pirfenidone and nintedanib were safe and reduce the decline in FVC (54).

Strengths of this study comprise the detailed analyses of inflammatory cell infiltrate and fibrosis, including the number of lymphocyte aggregates, the extent of diffusely-orientated lymphocytes, number of fibroblast foci, and percentage of fibrotic lung surface in well characterized groups of pulmonary fibrosis. Furthermore, this is the first study to show the association between survival and the degree of fibrosis as well as the number of fibroblast foci in FPF. However, two limitations are worthy to be noted. Lymphocyte aggregates were assessed in diagnostic biopsies. However, we did not routinely differentiate between different types of lymphocytes in these aggregates and we cannot exclude the possibility that we might have accidentally included some monocytes within the infiltrate. Second, while the tissue was sufficiently available for patients with TERT-PF and sIPF, lung biopsies of adult patients with SFTP-PF were extremely rare and only seven lungs were included.

The international guidelines state that generally FPF and sIPF are histologically and clinically indistinguishable (1). However, to date, no study has compared histologic inflammatory and fibrotic features of FPF patients with a specific TERT or SFTP gene mutation and sIPF. This is the first study investigating in detail the degree of inflammatory cell infiltrate and fibrosis in diagnostic biopsies of TERT-PF, SFTP-PF, sIPF, and cNSIP. We found no differences between FPF and sIPF, thereby further supporting the histological similarities between monogenic familial pulmonary fibrosis and sIPF. Furthermore, this study showed that survival among patients with FPF and sIPF depends on the number of fibroblast foci and percentage of fibrotic lung surface, but no clinically relevant correlation with inflammatory cell infiltrate was found. This corresponds with the general failure of trials with anti-inflammatory drugs and the more promising results of therapies targeting fibrosis.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Medical Research Ethics Committees United. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author Contributions

AB, MO, KK, JV, and CM contributed to the conception and design of the study. MO and SK performed the digital quantification of inflammatory and fibrotic markers in H&E-stained diagnostic biopsies. AB carried out the analysis. MO, JG, RG, and CM supervised the study. AB and CM wrote the initial manuscript. All authors drafted and approved the final manuscript.

Funding

This research was enabled by ZonMW-TopZorg St Antonius Science Corner grant (grant number 842002003; www.zonmw.nl; JG, CM, JV, and AB) and St Antonius Research fund (CM).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

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References

1. Raghu G, Remy-Jardin M, Myers JL, Richeldi L, Ryerson CJ, Lederer DJ, et al. Diagnosis of idiopathic pulmonary fibrosis an official ATS/ERS/JRS/ALAT clinical practice guideline. Am J Respir Crit Care Med. (2018) 198:e44–e68. doi: 10.1164/rccm.201807-1255ST

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Hodgson U, Laitinen T, Tukiainen P. Nationwide prevalence of sporadic and familial idiopathic pulmonary fibrosis: evidence of founder effect among multiplex families in Finland. Thorax. (2002) 57:338–42. doi: 10.1136/thorax.57.4.338

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Lee HY, Seo JB, Steele MP, Schwarz MI, Brown KK, Loyd JE, et al. High-resolution CT scan findings in familial interstitial pneumonia do not conform to those of idiopathic interstitial pneumonia. Chest. (2012) 142:1577–83. doi: 10.1378/chest.11-2812

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Marshall RP, Puddicombe A, Cookson WOC, Laurent GJ. Adult familial cryptogenic fibrosing alveolitis in the United Kingdom. Thorax. (2000) 55:143–6. doi: 10.1136/thorax.55.2.143

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Kropski JA, Young LR, Cogan JD, Mitchell DB, Lancaster LH, Worrell JA, et al. Genetic evaluation and testing of patients and families with idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. (2017) 195:1423–8. doi: 10.1164/rccm.201609-1820PP

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Armanios MY, Chen JJ-L, Cogan JD, Alder JK, Ingersoll RG, Markin C, et al. Telomerase mutations in families with idiopathic pulmonary fibrosis. N Engl J Med. (2007) 356:1317–26. doi: 10.1056/NEJMoa066157

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Tsakiri KD, Cronkhite JT, Kuan PJ, Xing C, Raghu G, Weissler JC, et al. Adult-onset pulmonary fibrosis caused by mutations in telomerase. Proc Natl Acad Sci USA. (2007) 104:7552–7. doi: 10.1073/pnas.0701009104

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Stuart BD, Choi J, Zaidi S, Xing C, Holohan B, Chen R, et al. Exome sequencing links mutations in PARN and RTEL1 with familial pulmonary fibrosis and telomere shortening. Nat Genet. (2015) 47:512–7. doi: 10.1038/ng.3278

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Hoffman TW, van der Vis JJ, van Oosterhout MFM, van Es HW, van Kessel DA, Grutters JC, et al. TINF2 Gene Mutation in a Patient with Pulmonary Fibrosis. Case Rep Pulmonol. (2016) 2016:1–6. doi: 10.1155/2016/1310862

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Nogee LM, Dunbar AE, Wert SE, Askin F, Hamvas A, Whitsett JA. A mutation in the surfactant protein c gene associated with familial interstitial lung disease. N Engl J Med. (2001) 344:573–9. doi: 10.1056/NEJM200102223440805

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Wang Y, Kuan PJ, Xing C, Cronkhite JT, Torres F, Rosenblatt RL, Garcia CK, et al. Genetic defects in surfactant protein A2 are associated with pulmonary fibrosis and lung cancer. Am J Hum Genet. (2009) 84:52–59. doi: 10.1016/j.ajhg.2008.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Van Moorsel CHM, Ten Klooster L, Van Oosterhout MFM, De Jong PA, Adams H, Van Es HW, et al. SFTPA2 mutations in familial and sporadic idiopathic interstitial pneumonia. Am J Respir Crit Care Med. (2015) 192:1249–52. doi: 10.1164/rccm.201504-0675LE

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Wagner CL, Hanumanthu VS, Conover Talbot C, Abraham RS, Hamm D, Gable DL, et al. Short telomere syndromes cause a primary T cell immunodeficiency. J Clin Invest. (2018) 128:5222–34. doi: 10.1172/JCI120216

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Najarro K, Nguyen H, Chen G, Xu M, Alcorta S, Yao X, et al. Telomere length as an indicator of the robustness of B- and T-cell response to influenza in older adults. J Infect Dis. (2015) 212:1261–9. doi: 10.1093/infdis/jiv202

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Allenspach EJ, Bellodi C, Jeong D, Kopmar N, Nakamura T, Ochs HD, et al. Common variable immunodeficiency as the initial presentation of dyskeratosis congenita. J Allergy Clin Immunol. (2013) 132:223–6. doi: 10.1016/j.jaci.2012.11.052

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Visentini M, Cagliuso M, Conti V, Carbonari M, Mancaniello D, Cibati M, et al. Telomere-dependent replicative senescence of B and T cells from patients with type 1a common variable immunodeficiency. Eur J Immunol. (2011) 41:854–62. doi: 10.1002/eji.201040862

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Herrera-Ramos E, López-Rodríguez M, Ruíz-Hernández JJ, Horcajada JP, Borderías L, Lerma E, et al. Surfactant protein A genetic variants associate with severe respiratory insufficiency in pandemic influenza A virus infection. Crit Care. (2014) 18:R127. doi: 10.1186/cc13934

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Thomas AQ, Lane K, Phillips J, Prince M, Markin C, Speer M, et al. Heterozygosity for a surfactant protein C gene mutation associated with usual interstitial pneumonitis and cellular nonspecific interstitial pneumonitis in one kindred. Am J Respir Crit Care Med. (2002) 165:1322–8. doi: 10.1164/rccm.200112-123OC

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Chibbar R, Shih F, Baga M, Torlakovic E, Ramlall K, Skomro R, et al. Nonspecific interstitial pneumonia and usual interstitial pneumonia with mutation in surfactant protein C in familial pulmonary fibrosis. Mod Pathol. (2004) 17:973–80. doi: 10.1038/modpathol.3800149

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Doubková M, Stano Kozubík K, Radová L, Pešová M, Trizuljak J, Pál K, et al. A novel germline mutation of the SFTPA1 gene in familial interstitial pneumonia. Hum Genome Var. (2019) 6:12. doi: 10.1038/s41439-019-0044-z

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Nayfeh AS, Chippa V, Moore DR. Nonspecific Interstitial Pneumonitis. Treasure Island, FL: StatPearls (2020).

Google Scholar

22. Kazzi B, Lederer D, Arteaga-Solis E, Saqi A, Chung WK. Recurrent diffuse lung disease due to surfactant protein C deficiency. Respir Med Case Reports. (2018) 25:91–95. doi: 10.1016/j.rmcr.2018.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Jin H, Ciechanowicz AK, Kaplan AR, Wang L, Zhang PX, Lu YC, et al. Surfactant protein C dampens inflammation by decreasing JAK/STAT activation during lung repair. Am J Physiol Lung Cell Mol Physiol. (2018) 314:L882–92. doi: 10.1152/ajplung.00418.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Zarbock R, Woischnik M, Sparr C, Thurm T, Kern S, Kaltenborn E, et al. The surfactant protein C mutation A116D alters cellular processing, stress tolerance, surfactant lipid composition, and immune cell activation. BMC Pulm Med. (2012) 12:15. doi: 10.1186/1471-2466-12-15

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Nureki SI, Tomer Y, Venosa A, Katzen J, Russo SJ, Jamil S, et al. Expression of mutant Sftpc in murine alveolar epithelia drives spontaneous lung fibrosis. J Clin Invest. (2018) 128:4008–24. doi: 10.1172/JCI99287

PubMed Abstract | CrossRef Full Text | Google Scholar

26. King TE, Schwarz MI, Brown K, Tooze JA, Colby TV, Waldron JA, et al. Idiopathic pulmonary fibrosis: Relationship between histopathologic features and mortality. Am J Respir Crit Care Med. (2001) 164:1025–32. doi: 10.1164/ajrccm.164.6.2001056

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Nicholson AG, Fulford LG, Colby TV, Du Bois RM, Hansell DM, Wells AU. The relationship between individual histologic features and disease progression in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med. (2002) 166:173–7. doi: 10.1164/rccm.2109039

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Balestro E, Calabrese F, Turato G, Lunardi F, Bazzan E, Marulli G, et al. Immune inflammation and disease progression in idiopathic pulmonary fibrosis. PLoS ONE. (2016) 11:e0154516. doi: 10.1371/journal.pone.0154516

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wiertz IA, Wuyts WA, van Moorsel CHM, Vorselaars ADM, van Es HW, van Oosterhout MFM, et al. Unfavourable outcome of glucocorticoid treatment in suspected idiopathic pulmonary fibrosis. Respirology. (2018) 23:311–7. doi: 10.1111/resp.13230

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Raghu G, Anstrom K, King TE J, Lasky J, Martinez F. Prednisone, Azathioprine, and N -acetylcysteine for pulmonary fibrosis - the idiopathic pulmonary fibrosis clinical research network. N Engl J Med. (2012) 366:1968–77. doi: 10.1056/NEJMoa1113354

PubMed Abstract | CrossRef Full Text | Google Scholar

31. King TE, Bradford WZ, Castro-Bernardini S, Fagan EA, Glaspole I, Glassberg MK, et al. A Phase 3 trial of pirfenidone in patients with idiopathic pulmonary fibrosis. N Engl J Med. (2014) 370:2083–92. doi: 10.1056/NEJMoa1402582

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Richeldi L, du Bois RM, Raghu G, Azuma A, Brown KK, Costabel U, et al. Efficacy and safety of nintedanib in idiopathic pulmonary fibrosis. N Engl J Med. (2014) 370:2071–82. doi: 10.1056/NEJMoa1402584

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Flaherty KR, Wells AU, Cottin V, Devaraj A, Walsh SLF, Inoue Y, et al. Nintedanib in progressive fibrosing interstitial lung diseases. N Engl J Med. (2019) 381:1718–27. doi: 10.1056/NEJMoa1908681

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Maher TM, Corte TJ, Fischer A, Kreuter M, Lederer DJ, Molina-Molina M, et al. Pirfenidone in patients with unclassifiable progressive fibrosing interstitial lung disease: a double-blind, randomised, placebo-controlled, phase 2 trial. Lancet Respir Med. (2020) 8:147–57. doi: 10.1016/S2213-2600(19)30341-8

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Jones MG, Fabre A, Schneider P, Cinetto F, Sgalla G, Mavrogordato M, et al. Three-dimensional characterization of fibroblast foci in idiopathic pulmonary fibrosis. JCI Insight. (2016) 1:e86375. doi: 10.1172/jci.insight.86375

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Lee SH, Shim HS, Cho SH, Kim SY, Lee SK, Son JY, et al. Prognostic factors for idiopathic pulmonary fibrosis: clinical, physiologic, pathologic, and molecular aspects. Sarcoidosis Vasc Diffus Lung Dis. (2011) 28:102–112.

PubMed Abstract | Google Scholar

37. Harada T, Watanabe K, Nabeshima K, Hamasaki M, Iwasaki H. Prognostic significance of fibroblastic foci in usual interstitial pneumonia and non-specific interstitial pneumonia. Respirology. (2013) 18:278–83. doi: 10.1111/j.1440-1843.2012.02272.x

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Hanak V, Ryu JH, de Carvalho E, Limper AH, Hartman TE, Decker PA, et al. Profusion of fibroblast foci in patients with idiopathic pulmonary fibrosis does not predict outcome. Respir Med. (2008) 102:852–6. doi: 10.1016/j.rmed.2008.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. (2015) 17:405–24. doi: 10.1038/gim.2015.30

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Povedano JM, Martinez P, Flores JM, Mulero F, Blasco MA. Mice with pulmonary fibrosis driven by telomere dysfunction. Cell Rep. (2015) 12:286–99. doi: 10.1016/j.celrep.2015.06.028

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Naikawadi RP, Disayabutr S, Mallavia B, Donne ML, Green G, La JL, et al. Telomere dysfunction in alveolar epithelial cells causes lung remodeling and fibrosis. JCI Insight. (2016) 1:e86704. doi: 10.1172/jci.insight.86704

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Qin L, Wang WZ, Liu HR, Xiao Y, Qin MW, Zheng WJ, et al. Prognosis of nonspecific interstitial pneumonia correlates with perivascular CD4+ T lymphocyte infiltration of the lung. BMC Pulm Med. (2015) 15:127. doi: 10.1186/s12890-015-0122-z

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Kinder BW, Collard HR, Koth L, Daikh DI, Wolters PJ, Elicker B, et al. Idiopathic nonspecific interstitial pneumonia: Lung manifestation of undifferentiated connective tissue disease? Am J Respir Crit Care Med. (2007) 176:691–7. doi: 10.1164/rccm.200702-220OC

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Katzenstein ALA, Myers JL. Idiopathic pulmonary fibrosis: clinical relevance of pathologic classification. Am J Respir Crit Care Med. (1998) 157:1301–15. doi: 10.1164/ajrccm.157.4.9707039

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Fireman E, Vardinon N, Burke M, Spizer S, Levin S, Endler A, et al. Predictive value of response to treatment of T-lymphocyte subpopulations in idiopathic pulmonary fibrosis. Eur Respir J. (1998) 11:706–11.

PubMed Abstract | Google Scholar

46. Mäkelä K, Mäyränpää MI, Sihvo HK, Bergman P, Sutinen E, Ollila H, et al. Artificial intelligence identifies inflammation and confirms fibroblast foci as prognostic tissue biomarkers in idiopathic pulmonary fibrosis. Hum Pathol. (2021) 107:58–68. doi: 10.1016/j.humpath.2020.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Xu J, Mora AL, LaVoy J, Brigham KL, Rojas M. Increased bleomycin-induced lung injury in mice deficient in the transcription factor T-bet. Am J Physiol - Lung Cell Mol Physiol. (2006) 291:L658–67. doi: 10.1152/ajplung.00006.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Todd NW, Scheraga RG, Galvin JR, Iacono AT, James Britt E, Luzina IG, et al. Lymphocyte aggregates persist and accumulate in the lungs of patients with idiopathic pulmonary fibrosis. J Inflamm Res. (2013) 6:63–70. doi: 10.2147/JIR.S40673

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Marchal-Sommé J, Uzunhan Y, Marchand-Adam S, Valeyre D, Soumelis V, Crestani B, et al. Cutting edge: nonproliferating mature immune cells form a novel type of organized lymphoid structure in idiopathic pulmonary fibrosis. J Immunol. (2006) 176:5735–9. doi: 10.4049/jimmunol.176.10.5735

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Parra ER, Kairalla RA, Ribeiro De Carvalho CR, Eher E, Capelozzi VL. Inflammatory cell phenotyping of the pulmonary interstitium in idiopathic interstitial pneumonia. Respiration. (2007) doi: 10.1159/000097133

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Matyszak MK, Citterio S, Rescigno M, Ricciardi-Castagnoli P. Differential effects of corticosteroids during different stages of dendritic cell maturation. Eur J Immunol. (2000) 30:1233–42. doi: 10.1002/(SICI)1521-414130:4<1233::AID–IMMU1233>3.0.CO;2-F

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Klay D, Hoffman TW, Harmsze AM, Grutters JC, van Moorsel CHM. Systematic review of drug effects in humans and models with surfactant-processing disease. Eur Respir Rev. (2018) 27:170135. doi: 10.1183/16000617.0135-2017

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Justet A, Thabut G, Manali E, Molina MM, Kannengiesser C, Cadranel J, et al. Safety and efficacy of pirfenidone in patients carrying telomerase complex mutation. Eur Respir J. (2018) 51:1701875. doi: 10.1183/13993003.01875-2017

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Justet A, Klay D, Porcher R, Cottin V, Ahmad K, Molina MM, et al. Safety and efficacy of pirfenidone and nintedanib in patients with idiopathic pulmonary fibrosis and carrying a telomere-related gene mutation. Eur Respir J. (2021) 57:2003198. doi: 10.1183/13993003.03198-2020

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: inflammation, fibrosis, fibroblast foci, telomere mutations, surfactant mutations, idiopathic pulmonary fibrosis, familial pulmonary fibrosis (FPF)

Citation: van Batenburg AA, van Oosterhout MFM, Knoppert SN, Kazemier KM, van der Vis JJ, Grutters JC, Goldschmeding R and van Moorsel CHM (2021) The Extent of Inflammatory Cell Infiltrate and Fibrosis in Lungs of Telomere- and Surfactant-Related Familial Pulmonary Fibrosis. Front. Med. 8:736485. doi: 10.3389/fmed.2021.736485

Received: 05 July 2021; Accepted: 27 August 2021;
Published: 24 September 2021.

Edited by:

Ramcés Falfán-Valencia, Instituto Nacional de Enfermedades Respiratorias-México (INER), Mexico

Reviewed by:

Helen Parfrey, Royal Papworth Hospital NHS Foundation Trust, United Kingdom
Giulio Rossi, Azienda Unità Sanitaria Locale (AUSL) della Romagna, Italy
Arnaud Mailleux, Institut National de la Santé et de la Recherche Médicale (INSERM), France

Copyright © 2021 van Batenburg, van Oosterhout, Knoppert, Kazemier, van der Vis, Grutters, Goldschmeding and van Moorsel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Coline H. M. van Moorsel, c.van.moorsel@antoniusziekenhuis.nl

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