Risk Of Idiopathic Pulmonary Fibrosis Research Articles

Smoking and idiopathic pulmonary fibrosis: A meta-analysis.

In this study, we aimed to systematically explore the relationship between smoking and idiopathic pulmonary fibrosis (IPF). The PubMed, Web of Science and Embase databases were searched to systematically identify eligible studies. The Newcastle‒Ottawa Quality Assessment Scale (NOS) was used to evaluate the quality of the selected studies. The pooled odds ratio (OR) and survival hazard ratio (HR) were calculated with a random effects model using Stata 16.0 software. Thirty studies were enrolled. All of the included studies were considered to have intermediate or high quality. Nine studies were suitable for meta-analysis of ORs, and twenty-one studies were suitable for meta-analysis of survival HR. The pooled analysis revealed a significant difference in the risk of IPF between the smoking group and the never smoking group (OR 1.71, 95% CI 1.27-2.30, P < 0.001), indicating that smoking is a risk factor for IPF. When analyzing pooled survival HRs, never smoking was compared to former smoking or current smoking. Former smoking was shown to be a poor prognostic factor for IPF (HR 1.43, 95% CI 1.18-1.74, P < 0.001), but current smoking was not a significant factor. Our results indicated that smoking is a risk factor for IPF patients. In this study, we mainly concluded that smoking is a risk factor for IPF and that former smoking is a poor prognostic factor for IPF. To our knowledge, this is the first meta-analysis report focusing on the association between smoking per se and IPF. Through our current study, we hope to further raise awareness of the relationship between smoking and IPF.

Mendelian randomisation highlights type 1 diabetes as a causal determinant of idiopathic pulmonary fibrosis

BackgroundIt is unclear whether type 1 diabetes (T1D) causes idiopathic pulmonary fibrosis (IPF), despite observational research linking the two conditions. Therefore, our study aimed to examine the causal link between T1D and the likelihood of IPF by employing the Mendelian randomization (MR) technique of two-sample Mendelian randomization.MethodsUsing data from two genome-wide association studies (GWAS) with European ancestry, we performed a two-sample MR analysis. These studies involved 18,856 individuals (6,683 cases and 12,173 controls) for T1D and 198,014 individuals (10,028 cases and 196,986 controls) for IPF. We utilized inverse-variance weighted (IVW) analysis as our main approach to determine the association between the risk of IPF and T1D. To evaluate multidirectionality, the MR-Egger regression test was utilized, whereas heterogeneity was assessed using Cochran’s Q test. Additionally, a leave-one-out analysis was performed to assess the reliability of the results.Results38 SNPs linked to T1D were employed as instrumental variables (IVs). Multiple MR methods yielded consistent results, and the MR analysis reveals a significant and positive causal impact of T1D on IPF (MR-IVW, odds ratio [OR] = 1.128, 95% confidence interval [CI] 1.034–1.230; P = 0.006). The limitations of the study include the lack of data from non-European groups and the inability to rule out the possibility of small links. Larger MR experiments are necessary to investigate minute impacts.ConclusionsThe results of this study provide evidence that T1D contributes to the onset and advancement of IPF. This finding may provide important insights into the cause of IPF and possible treatments in the future.

The causal relationship between genetically predicted blood metabolites and idiopathic pulmonary fibrosis: A bidirectional two-sample Mendelian randomization study.

Numerous metabolomic studies have confirmed the pivotal role of metabolic abnormalities in the development of idiopathic pulmonary fibrosis (IPF). Nevertheless, there is a lack of evidence on the causal relationship between circulating metabolites and the risk of IPF. The potential causality between 486 blood metabolites and IPF was determined through a bidirectional two-sample Mendelian randomization (TSMR) analysis. A genome-wide association study (GWAS) involving 7,824 participants was performed to analyze metabolite data, and a GWAS meta-analysis involving 6,257 IPF cases and 947,616 control European subjects was conducted to analyze IPF data. The TSMR analysis was performed primarily with the inverse variance weighted model, supplemented by weighted mode, MR-Egger regression, and weighted median estimators. A battery of sensitivity analyses was performed, including horizontal pleiotropy assessment, heterogeneity test, Steiger test, and leave-one-out analysis. Furthermore, replication analysis and meta-analysis were conducted with another GWAS dataset of IPF containing 4,125 IPF cases and 20,464 control subjects. Mediation analyses were used to identify the mediating role of confounders in the effect of metabolites on IPF. There were four metabolites associated with the elevated risk of IPF, namely glucose (odds ratio [OR] = 2.49, 95% confidence interval [95%CI] = 1.13-5.49, P = 0.024), urea (OR = 6.24, 95% CI = 1.77-22.02, P = 0.004), guanosine (OR = 1.57, 95%CI = 1.07-2.30, P = 0.021), and ADpSGEGDFXAEGGGVR (OR = 1.70, 95%CI = 1.00-2.88, P = 0.0496). Of note, the effect of guanosine on IPF was found to be mediated by gastroesophageal reflux disease. Reverse Mendelian randomization analysis displayed that IPF might slightly elevate guanosine levels in the blood. Conclusively, hyperglycemia may confer a promoting effect on IPF, highlighting that attention should be paid to the relationship between diabetes and IPF, not solely to the diagnosis of diabetes. Additionally, urea, guanosine, and ADpSGEGDFXAEGGGVR also facilitate the development of IPF. This study may provide a reference for analyzing the potential mechanism of IPF and carry implications for the prevention and treatment of IPF.

Association between statin use and the risk for idiopathic pulmonary fibrosis and its prognosis: a nationwide, population-based study

Given the pleiotropic effects of statins beyond their lipid-lowering effects, there have been attempts to evaluate the role of statin therapy in IPF, but they have shown inconclusive results. Data from the National Health Insurance Service (NHIS) database of South Korea were used to investigate the effects of statin therapy on IPF. The IPF cohort consisted of a total of 10,568 patients who were newly diagnosed with IPF between 2010 and 2017. These patients were then matched in a 1:3 ratio to 31,704 subjects from a control cohort without IPF, with matching based on age and sex. A case–control study was performed to evaluate the association between statin use and the risk for IPF, and the multivariable analysis revealed that statin use was associated with a lower risk for IPF (adjusted OR 0.847, 95% CI 0.800–0.898). Using the IPF cohort, we also evaluated whether statin use at the time of diagnosis was associated with future clinical outcomes. The statin use at the time of IPF diagnosis was associated with improved overall survival (adjusted HR 0.779, 95% CI 0.709–0.856). Further prospective studies are needed to clarify the role of statin therapy in IPF.

Quantitative Analysis of Lung Shape in Idiopathic Pulmonary Fibrosis: Insights Into Disease- and Age-Associated Patterns

Rationale and objectivesFibrotic scarring in idiopathic pulmonary fibrosis (IPF) typically develops first in the posterior-basal lung tissue before advancing to involve more of the lung. The complexity of lung shape in the costo-diaphragmatic region has been proposed as a potential factor in this regional development. Intrinsic and disease-related shape could therefore be important for understanding IPF risk and its staging. We hypothesised that lung and lobe shape in IPF would have important differences from controls. Materials and MethodsA principal component (PC) analysis was used to derive a statistical shape model (SSM) of the lung for a control cohort aged > 50 years (N=39), using segmented lung and fissure surface data from CT imaging. Individual patient shape models derived for baseline (N=18) and follow-up (N=16) CT scans in patients with IPF were projected to the SSM to describe shape as the sum of the SSM average and weighted PC modes. Associations between the first four PC shape modes, lung function, percentage of fibrosis (fibrosis%) and pulmonary vessel-related structures (PVRS%), and other tissue metrics were assessed and compared between the two cohorts. ResultsShape was different between IPF and controls (p<0.05 for all shape modes), with IPF shape forming a distinct shape cluster. Shape had a negative relationship with age in controls (p = 0.013), but a positive relationship with age in IPF (p = 0.026). Some features of shape changed on follow-up. Shape in IPF was associated with fibrosis% (p<0.05) and PVRS% (p<0.05). ConclusionQuantitative comparison of lung and lobe shape in IPF with controls of a similar age reveals shape differences that are strongly associated with age and percent fibrosis. The clustering of IPF cohort shape suggests that it could be an important feature to describe disease.

Diabetes mellitus and idiopathic pulmonary fibrosis: a Mendelian randomization study

BackgroundThe question as to whether or not diabetes mellitus increases the risk of idiopathic pulmonary fibrosis (IPF) remains controversial. This study aimed to investigate the causal association between type 1 diabetes (T1D), type 2 diabetes (T2D), and IPF using Mendelian randomization (MR) analysis.MethodsWe used two-sample univariate and multivariate MR (MVMR) analyses to investigate the causal relationship between T1D or T2D and IPF. We obtained genome-wide association study (GWAS) data for T1D and T2D from the European Bioinformatics Institute, comprising 29,652 T1D samples and 101,101 T1D single nucleotide polymorphisms (SNPs) and 655,666 T2D samples and 5,030,727 T2D SNPs. We also used IPF GWAS data from the FinnGen Biobank comprising 198,014 IPF samples and 16,380,413 IPF SNPs. All cases and controls in these datasets were derived exclusively from European populations. In the univariate MR analysis, we employed inverse variance-weighted (IVW), weighted median (WM), and MR-Egger regression methods. For the MVMR analysis, we used the multivariate IVW method primarily, and supplemented it with multivariate MR-Egger and multivariate MR- least absolute shrinkage and selection operator methods. Heterogeneity tests were conducted using the MR-IVW and MR-Egger regression methods, whereas pleiotropic effects were assessed using the MR-Egger intercept. The results of MR and sensitivity analyses were visualized using forest, scatter, leave-one-out, and funnel plots.ResultsUnivariate MR revealed a significant causal relationship between T1D and IPF (OR = 1.118, 95% CI = 1.021–1.225, P = 0.016); however, no significant causal relationship was found between T2D and IPF (OR = 0.911, 95% CI = 0.796–1.043, P = 0.178). MVMR analysis further confirmed a causal association between T1D and IPF (OR = 1.133, 95% CI = 1.011–1.270, P = 0.032), but no causal relationship between T2D and IPF (OR = 1.009, 95% CI = 0.790–1.288, P = 0.950). Sensitivity analysis results validated the stability and reliability of our findings.ConclusionUnivariate and multivariate analyses demonstrated a causal relationship between T1D and IPF, whereas no evidence was found to support a causal relationship between T2D and IPF. Therefore, in clinical practice, patients with T1D should undergo lung imaging for early detection of IPF.

Retraction Note: Dietary intake and incidence risk of idiopathic pulmonary fibrosis: a Mendelian randomization study

Retraction Note: Dietary intake and incidence risk of idiopathic pulmonary fibrosis: a Mendelian randomization study

Age at menarche and idiopathic pulmonary fibrosis: a two-sample mendelian randomization study

BackgroundSex difference in the incidence rate of idiopathic pulmonary fibrosis (IPF) indicates that estrogen has a certain protective effect on the disease. Nevertheless, there is a dearth of study investigating the association between factors pertaining to endogenous estrogen exposure level, such as age at menarche (AAM) in women, and IPF. Our study intended to employ Mendelian randomization (MR) method to elucidate the causal association between AAM and IPF.MethodsOur study utilized AAM as a measure of endogenous estrogen exposure and investigated its causal effect on the risk of IPF through MR. We employed the inverse variance weighted (IVW) method to assess the causal relationship between AAM and IPF risk, with supplementary analyses conducted using the weighted median estimator (WME) and MR-Egger method. Several sensitivity analyses were performed to assess the dependability of MR estimates.ResultsA total of 9 selected single nucleotide polymorphisms (SNPs) significantly associated with AAM were selected as instrumental variables. The IVW method showed that genetically later AAM was associated with an increased risk of IPF (odds ratio [OR] = 1.0014, 95%confidence interval [CI] = 1.0005–1.0023, p = 0.001). The median weighting method and the MR-Egger method obtained similar estimates, and no heterogeneity or pleiotropy was found, indicating that the results were robust.ConclusionsOur MR study suggested a causal relationship between a later onset of menarche and a heightened susceptibility to IPF.

Psoriasis may increase the risk of idiopathic pulmonary fibrosis: a two-sample Mendelian randomization study

BackgroundAlthough some studies have indicated that Psoriasis could contribute to the risk of idiopathic pulmonary fibrosis (IPF), no study has reported a clear causal association between them. Our aim was to explore the potential relationship between Psoriasis and IPF using Mendelian randomization (MR) design.MethodsTo explore a causal association between Psoriasis and IPF, we used genetic instruments from the largest available genome-wide association study (GWAS) of European ancestry, including psoriasis (5314 cases, 457,619 controls) and IPF (1028 cases, 196,986 controls). Our main analyses were conducted by inverse-variance weighted (IVW) method with random-effects model, with the other complementary four analyses: weighted median method, weighted mode, multivariable MR and MR-Egger approach.ResultsThe results of IVW methods demonstrated that genetically predicted psoriasis was significantly associated with higher odds of IPF, with an odds ratio (OR) of 1.09 (95%CI, 1.01–1.18; P = 0.02). Weighted median method, weighted mode and multivariable MR also demonstrated directionally similar results (P < 0.05), while the MR-Egger regression did not reveal the impact of psoriasis on IPF (OR = 1.09, 95%CI, 0.98–1.21; P = 0.11). In addition, both funnel plots and MR-Egger intercepts indicated no directional pleiotropic effects between psoriasis and IPF.ConclusionsOur study provided potential evidence between genetically predicted psoriasis and IPF, which suggests that understanding the mutual risk factors between psoriasis and IPF can facilitate the clinical management of both diseases.

Genetic Underpinnings of Pulmonary Fibrosis: An Overview.

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive disorder, in which genetic and environmental factors are involved in disease onset. Although, by definition, the disease is considered idiopathic in nature, evidence-based studies have indicated familial cases of pulmonary fibrosis, in which genetic factors contribute to IPF pathogenesis. Both common as well as rare genetic variants are associated with sporadic as well as familial forms of IPF. Although clinical inferences of the genetic association have still not been explored properly, observation-based studies have found a genotypic influence on disease development and outcome. Based on genetic studies, individuals with a risk of IPF can be easily identified and can be classified more precisely. Identification of genetic variants also helps to develop more effective therapeutic approaches. Further comprehensive research is needed to get a blueprint of IPF pathogenesis. The rapidly evolving field of genetic engineering and molecular biology, along with the bioinformatics approach, will possibly explore a new horizon very soon to achieve this goal.

A microdroplet SERS-RCA biosensor with enhanced specificity and reproducibility for profiling dual miRNAs in idiopathic pulmonary fibrosis diagnosis and monitoring

Accurate detection of low-abundance, highly homologous miRNAs is crucial for the precise diagnosis and monitoring of idiopathic pulmonary fibrosis (IPF). In this study, a fully integrated microdroplet analysis platform based on rolling circle amplification (RCA) technology and surface-enhanced Raman spectroscopy (SERS) has been developed to precisely detect miRNA-21 and miRNA-155 in the serum of IPF patients. By utilizing the RCA strategy, the constructed sensor is able to realize single nucleotide variation detection with prominent specificity. The integration of microfluidics provides satisfactory directions to the reproducibility issue in SERS, thereby improving detecting sensitivity. With this sophisticated biosensing platform, low detection limits of 0.398 fM and 0.215 fM have been achieved for miRNA-21 and miRNA-155, respectively. Moreover, the combined determination of these two miRNAs demonstrates a more substantial diagnostic potential, with an AUC value of 0.884, higher than their evaluations. When used in conjunction with high-resolution chest computed tomography, this innovative SERS-RCA microfluidic biosensor can serve as an auxiliary diagnostic tool for IPF risk assessment, particularly for real-time monitoring of miRNA levels in patients undergoing chemotherapy. This sensing technique holds promise to extend into versatile platforms for diverse miRNA detection in the rapid and accurate diagnosis of various diseases beyond IPF.

Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study.

Previous observational studies have investigated the association between endocrine and metabolic factors and idiopathic pulmonary fibrosis (IPF), yet have produced inconsistent results. Therefore, it is imperative to employ the Mendelian randomization (MR) analysis method to conduct a more comprehensive investigation into the impact of endocrine and metabolic factors on IPF. The instrumental variables (IVs) for 53 endocrine and metabolic factors were sourced from publicly accessible genome-wide association study (GWAS) databases, with GWAS summary statistics pertaining to IPF employed as the dependent variables. Causal inference analysis encompassed the utilization of three methods: inverse-variance weighted (IVW), weighted median (WM), and MR-Egger. Sensitivity analysis incorporated the implementation of MR-PRESSO and leave-one-out techniques to identify potential pleiotropy and outliers. The presence of horizontal pleiotropy and heterogeneity was evaluated through the MR-Egger intercept and Cochran's Q statistic, respectively. The IVW method results reveal correlations between 11 traits and IPF. After correcting for multiple comparisons, seven traits remain statistically significant. These factors include: "Weight" (OR= 1.44; 95% CI: 1.16, 1.78; P=8.71×10-4), "Body mass index (BMI)" (OR= 1.35; 95% CI: 1.13, 1.62; P=1×10-3), "Whole body fat mass" (OR= 1.40; 95% CI: 1.14, 1.74; P=1.72×10-3), "Waist circumference (WC)" (OR= 1.54; 95% CI: 1.16, 2.05; P=3.08×10-3), "Trunk fat mass (TFM)" (OR=1.35; 95% CI: 1.10,1.65; P=3.45×10-3), "Body fat percentage (BFP)" (OR= 1.55; 95% CI: 1.15,2.08; P=3.86×10-3), "Apoliprotein B (ApoB)" (OR= 0.78; 95% CI: 0.65,0.93; P=5.47×10-3). Additionally, the sensitivity analysis results confirmed the reliability of the MR results. The present study identified causal relationships between seven traits and IPF. Specifically, ApoB exhibited a negative impact on IPF, while the remaining six factors demonstrated a positive impact. These findings offer novel insights into the underlying etiopathological mechanisms associated with IPF.

Genetic liability of gut microbiota for idiopathic pulmonary fibrosis and lung function: a two-sample Mendelian randomization study.

The microbiota-gut-lung axis has elucidated a potential association between gut microbiota and idiopathic pulmonary fibrosis (IPF). However, there is a paucity of population-level studies with providing robust evidence for establishing causality. This two-sample Mendelian randomization (MR) analysis aimed to investigate the causal relationship between the gut microbiota and IPF as well as lung function. Adhering to Mendel's principle of inheritance, this MR analysis utilized summary-level data from respective genome-wide association studies (GWAS) involving 211 gut microbial taxa, IPF, and lung function indicators such as FEV1, FVC, and FEV1/FVC. A bidirectional two-sample MR design was employed, utilizing multiple MR analysis methods, including inverse variance-weighted (IVW), weighted median, MR-Egger, and weighted mode. Multivariable MR (MVMR) was used to uncover mediating factors connecting the exposure and outcome. Additionally, comprehensive sensitivity analyses were conducted to ensure the robustness of the results. The MR results confirmed four taxa were found causally associated with the risk of IPF. Order Bifidobacteriales (OR=0.773, 95% CI: 0.610-0.979, p=0.033), Family Bifidobacteriaceae (OR=0.773, 95% CI: 0.610-0.979, p=0.033), and Genus RuminococcaceaeUCG009 (OR=0.793, 95% CI: 0.652-0.965, p=0.020) exerted protective effects on IPF, while Genus Coprococcus2 (OR=1.349, 95% CI: 1.021-1.783, p=0.035) promote the development of IPF. Several taxa were causally associated with lung function, with those in Class Deltaproteobacteria, Order Desulfovibrionales, Family Desulfovibrionaceae, Class Verrucomicrobiae, Order Verrucomicrobiales and Family Verrucomicrobiaceae being the most prominent beneficial microbiota, while those in Family Lachnospiraceae, Genus Oscillospira, and Genus Parasutterella were associated with impaired lung function. As for the reverse analysis, MR results confirmed the effects of FEV1 and FVC on the increased abundance of six taxa (Phylum Actinobacteria, Class Actinobacteria, Order Bifidobacteriales, Family Bifidobacteriaceae, Genus Bifidobacterium, and Genus Ruminiclostridium9) with a boosted level of evidence. MVMR suggested monounsaturated fatty acids, total fatty acids, saturated fatty acids, and ratio of omega-6 fatty acids to total fatty acids as potential mediating factors in the genetic association between gut microbiota and IPF. The current study suggested the casual effects of the specific gut microbes on the risk of IPF and lung function. In turn, lung function also exerted a positive role in some gut microbes. A reasonable dietary intake of lipid substances has a certain protective effect against the occurrence and progression of IPF. This study provides novel insights into the potential role of gut microbiota in IPF and indicates a possible gut microbiota-mediated mechanism for the prevention of IPF.

Gastroesophageal reflux disease and idiopathic pulmonary fibrosis risk: A mendelian randomization study

Background: Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with unknown etiology and treatment options for it were limited. Whether Gastroesophageal reflux disease (GERD) could affect the occurrence of IPF remains unclear. Methods: Using available data from FINNGEN and IEU OpenGWAS, we performed Two-sample mendelian randomization (MR) to explore the causal relationship between GERD and IPF. Results: Using 65 GERD-related SNPs, we found the association between GERD and the risk of IPF was not statistically significant with IVW approach (OR = 1.20, 95% CI = 0.84-1.70, p = .32), MR-Egger regression (OR = 1.65, 95% CI = 0.19-14.43, p = .65) and weighted median approaches (OR = 1.44, 95% CI = 0.94-2.23, p = .09). However, heterogeneity was observed with MR-Egger ( p = .001) and IVW ( p = .001) analysis. Similar results were obtained with MR-PRESSO (global heterogeneity test p value &lt;.01). After removing one outlier (rs9636202), with weighted median method, we found GERD increased the risk of IPF (OR 1.55, 95% CI: 1.01-2.36, p = .045) while not with the IVW (OR: 1.27, 95% CI: 0.91-1.78, p = .16) and MR-Egger method (OR: 2.01, 95% CI: 0.26-15.8, p = .51). Hence, we set a stricter instrument p value threshold to a level of &lt;1 × 10−8, there was no statistical significance with MR estimates. Additionally, there was no directional pleiotropy observed (intercept = −0.01; SE = 0.036. p = .772). To validate causal effect of GERD on IPF, we identified three SNPs (rs79348626, rs12759463 and rs4269485) from another GWAS data that were significantly associated with GERD independently. The analysis showed no evidence of causality between GERD and IPF using the IVW method (OR = 0.91, 95% CI = 0.42-1.97, p = .814), MR-Egger regression (OR = 0.43, 95% CI = 0.06-3.07, p = .553) and weighted median approaches (OR = 0.90, 95% CI = 0.36-2.27, p = 0 0.819). Conclusions: Our analysis using MR does not support GERD could significantly increase the incidence of IPF, which suggests that treating GERD cannot reduce the risk of developing IPF.

The Impact of Occupational Exposures on the Risk of Idiopathic Pulmonary Fibrosis: A Systematic Review and Meta-Analysis.

Rationale: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic pulmonary disorder of unknown etiology that is characterized by a usual interstitial pneumonia pattern. Previous meta-analyses have reported associations between occupational exposures and IPF, but higher-quality studies have been published in recent years, doubling the number of studied patients. Objectives: To provide a contemporary and comprehensive assessment of the relationship between occupational exposures and IPF. Methods: We searched PubMed, Embase, and Web of Science through July 2023 to identify all publications on occupational exposure and IPF. We conducted a meta-analysis of the occupational burden, odds ratio (OR), and population attributable fraction (PAF) of exposures. Five exposure categories were analyzed: vapors, gas, dust, and fumes (VGDF); metal dust; wood dust; silica dust; and agricultural dust. A comprehensive bias assessment was performed. The study protocol was registered in the International Prospective Register of Systematic Reviews (identifier CRD42021267808). Results: Our search identified 23,942 publications. Sixteen publications contained relative risks needed to calculate pooled ORs and PAFs, and 12 additional publications reported an occupational burden within a case series. The proportion of cases with occupational exposures to VGDF was 44% (95% confidence interval [CI], 36-53%), with a range of 8-17% within more specific exposure categories. The pooled OR was increased for VGDF at 1.8 (95% CI, 1.3-2.4), with a pooled PAF of 21% (95% CI, 15-28%). ORs and PAFs, respectively, were found to be 1.6 and 7% for metal dust, 1.6 and 3% for wood dust, 1.8 and 14% for agricultural dust, and 1.8 and 4% for silica dust. The pooled ORs and PAFs within specific exposure categories ranged from 1.6 to 1.8 and from 4% to 14%, respectively. We identified some publication bias, but it was not sufficient to diminish the association between occupational exposures and IPF based on sensitivity analysis and bias assessment. Conclusions: Our findings indicate that 21% of IPF cases (or approximately one in five) could be prevented by removal of occupational exposure (alongside a pooled OR of 1.8). Additionally, 44% of patients with IPF report occupational exposure to VGDF. This meta-analysis suggests that a considerable number of cases of IPF are attributable to inhaled occupational exposures and warrant increased consideration in the clinical care of patients and future prevention efforts.

Associations of combined phenotypic ageing and genetic risk with incidence of chronic respiratory diseases in the UK Biobank: a prospective cohort study.

Accelerated biological ageing has been associated with an increased risk of several chronic respiratory diseases. However, the associations between phenotypic age, a new biological age indicator based on clinical chemistry biomarkers, and common chronic respiratory diseases have not been evaluated. We analysed data from 308 592 participants at baseline in the UK Biobank. The phenotypic age was calculated from chronological age and nine clinical chemistry biomarkers, including albumin, alkaline phosphatase, creatinine, glucose, C-reactive protein, lymphocyte percent, mean cell volume, red cell distribution width and white blood cell count. Furthermore, phenotypic age acceleration (PhenoAgeAccel) was calculated by regressing phenotypic age on chronological age. The associations of PhenoAgeAccel with incident common chronic respiratory diseases and cross-sectional lung function were investigated. Moreover, we constructed polygenic risk scores and evaluated whether PhenoAgeAccel modified the effect of genetic susceptibility on chronic respiratory diseases and lung function. The results showed significant associations of PhenoAgeAccel with increased risk of idiopathic pulmonary fibrosis (IPF) (hazard ratio (HR) 1.52, 95% CI 1.45-1.59), COPD (HR 1.54, 95% CI 1.51-1.57) and asthma (HR 1.18, 95% CI 1.15-1.20) per 5-year increase and decreased lung function. There was an additive interaction between PhenoAgeAccel and the genetic risk for IPF and COPD. Participants with high genetic risk and who were biologically older had the highest risk of incident IPF (HR 5.24, 95% CI 3.91-7.02), COPD (HR 2.99, 95% CI 2.66-3.36) and asthma (HR 2.07, 95% CI 1.86-2.31). Mediation analysis indicated that PhenoAgeAccel could mediate 10∼20% of the associations between smoking and chronic respiratory diseases, while ∼10% of the associations between particulate matter with aerodynamic diameter <2.5 µm and the disorders were mediated by PhenoAgeAccel. PhenoAgeAccel was significantly associated with incident risk of common chronic respiratory diseases and decreased lung function and could serve as a novel clinical biomarker.

Mendelian randomization reveals no correlations between herpesvirus infection and idiopathic pulmonary fibrosis.

Previous studies have found that the persistence of herpesvirus significantly increases the risk of idiopathic pulmonary fibrosis (IPF), but it is unclear whether this effect is causal. We conducted a two-sample Mendelian randomization (MR) study to evaluate the causal relationship between three herpesvirus infections and IPF. We used genome-wide association studies (GWAS) data from three independent datasets, including FinnGen cohort, Milieu Intérieur cohort, and 23andMe cohort, to screen for instrumental variables (IVs) of herpesvirus infection or herpesvirus-related immunoglobulin G (IgG) levels. Outcome dataset came from the largest meta-analysis of IPF susceptibility currently available. In the FinnGen cohort, genetically predicted Epstein-Barr virus (EBV) (OR = 1.105, 95%CI: 0.897-1.149, p = 0.815), cytomegalovirus (CMV) (OR = 1.073, 95%CI: 0.926-1.244, p = 0.302) and herpes simplex (HSV) infection (OR = 0.906, 95%CI: 0.753-1.097, p = 0.298) were not associated with the risk of IPF. In the Milieu Intérieur cohort, we found no correlations between herpesvirus-related IgG EBV nuclear antigen-1 (EBNA1) (OR = 0.968, 95%CI: 0.782-1.198, p = 0.764), EBV viral capsid antigen (VCA) (OR = 1.061, 95CI%: 0.811-1.387, p = 0.665), CMV (OR = 1.108, 95CI%: 0.944-1.314, p = 0.240), HSV-1 (OR = 1.154, 95%CI: 0.684-1.945, p = 0.592) and HSV-2 (OR = 0.915, 95%CI: 0.793-1.056, p = 0.225) and IPF risk. Moreover, in the 23andMe cohort, no evidence of associations between mononucleosis (OR = 1.042, 95%CI: 0.709-1.532, p = 0.832) and cold scores (OR = 0.906, 95%CI: 0.603-1.362, p = 0.635) and IPF were found. Sensitivity analysis confirmed the robustness of our results. This study provides preliminary evidence that EBV, CMV, and HSV herpesviruses, and herpesviruses-related IgG levels, are not causally linked to IPF. Further MR analysis will be necessary when stronger instrument variables and GWAS with larger sample sizes become available.

Immune Signature in Telomere-Biology Disorders

Excessive telomere shortening caused by pathogenic germline variants in telomere-biology genes may result in bone marrow failure, hematopoietic malignancy and extramedullary complications, such as idiopathic pulmonary fibrosis (IPF), liver cirrhosis, and solid tumors. Patients with short telomeres also may develop immunodeficiency with low counts of T-cell receptor excision circles (TRECs), kappa-deleting excision circles (KRECs), and CD4 + T cells. The aim of the present study was to comprehensively determine the immune system changes in human patients with telomeropathies by deep-phenotyping peripheral blood mononuclear cells (PBMCs) and quantifying cytokine serum levels. We applied a 39-marker panel of metal-labeled antibodies and employed mass cytometry (CyTOF) to assess the subsets of lymphocytes, monocytes, and dendritic cells (DC) in 20 patients and 10 healthy individuals. High-dimensional analysis was conducted using automated clustering ( Flow-SOM) to identify subpopulations and cell states, whereas t-SNE was employed as a visualization tool. A total of 32 serum cytokines, chemokines and growth factors were quantified by a bead-based immunoassay (Luminex™). First, we confirmed previous findings of low CD4/CD8 ratio (0.73±0.56 vs. 1.3±0.69 in controls, p=0.05), and reduced absolute naïve (CD45RA +CCR7 +) CD4 + and CD8 + cell counts ( p&amp;lt;0.01), with effector memory cell accumulation in patients with telomere diseases, and the current study further showed a reduction in naïve B (CD19 +IgD +CD27 -) and in recent thymic emigrants (RTE), characterized by CD31 +CD45RA + ( p&amp;lt;0.01), indicating a consistent aged B and T cell profile. T H1, T H17 and T H17.1 CD4 + lymphocytes were reduced ( p&amp;lt;0.05), whereas the T H2/T H1 ratio was increased (1.6±0.83 vs. 0.82±0.39 in controls; p=0.013), demonstrating a dysregulated T helper cell diversity. T regs, on the other hand, did not appear to be affected. Plasmacytoid DCs (CD3 -CD141 +CD123 +CD1c -), which are known inducers of T helper differentiation, were reduced in patients ( p=0.014). A double negative T cell (DNT) population, characterized as CD3 +CD4 -CD8 -Vd2 -Tbet +Granzyme B +, was significantly increased ( p=0.0002). Activated effector memory and TEMRA CD4 + cells, also expressing exhaustion markers PD-1 and TIGIT (CD4 +CD45RA +/-CCR7 -CD38 +HLADR +Ki67 +PD-1 +TIGIT low) and proliferating switched memory B cells (CD3 -CD19 +IgD -CD27 +Ki67 +) were higher ( p=0.046 and p=0.041, respectively) suggesting the occurrence of an environment prone to immune activation, also supported by the prevalence of CD14 +CD16 +CXCR3 +CCR4 + classical monocytes ( p=0.0042). Additionally, mucosal-associated invariant T (MAIT) cells (CD3 +CD161 highVɑ7.2 +) were markedly reduced in patients ( p&amp;lt;0.0001), possibly due to their recruitment to other tissues as a response to inflammation. Conversely, immature NK cells (CD3 -CD19 -CD56 brightCD16 -) were more frequent in patients as compared to controls ( p=0.026), and individuals with the shortest telomere lengths had an even higher frequency of these cells. In addition to the previously described CD4 + immunodeficiency, the predominance of immature NK cells may potentially impact the immunosurveillance of malignant transformations. When an unsupervised clustering algorithm using cell subpopulations as variables was applied, patients and controls were correctly identified in 100% of cases. Telomere length positively correlated with some cytokine levels in serum. This was observed for angiopoietin-1, IL-1 superfamily, IL-3, IL-4, IL-7, IL-23, IL-27, M-CSF, MCP-1, MIP-3a and PDGF-BB. Taken together, our results reveal a distinct immunophenotype in telomeropathies, which comprises deficient or skewed maturation of certain subsets, an aged phenotype of B and T cells, aberrant lymphocyte activation and very low levels of circulating MAIT cells, which might be indicators of ongoing inflammatory processes, tied with dysregulated cytokine levels. This immune perturbance may contribute to the clinical onset of telomeropathies and increase the risk of infections, cirrhosis, IPF and cancer development.

The causal relationship between physical activity, sedentary time and idiopathic pulmonary fibrosis risk: a Mendelian randomization study

BackgroundSeveral observational studies have found that physical inactivity and sedentary time are associated with idiopathic pulmonary fibrosis (IPF) risk. However, the causality between them still requires further investigation. Therefore, our study aimed to investigate the causal effect of physical activity (PA) and sedentary time on the risk of IPF via two-sample Mendelian randomization (MR) analysis.MethodsMultiple genome-wide association study (GWAS) data involving individuals of European ancestry were analyzed. The datasets encompassed published UK Biobank data (91,105–377,234 participants) and IPF data (2018 cases and 373,064 controls) from FinnGen Biobank. The inverse variance weighting (IVW) method was the primary approach for our analysis. Sensitivity analyses were implemented with Cochran’s Q test, MR-Egger regression, MR-PRESSO global test, and leave-one-out analysis.ResultsGenetically predicted self-reported PA was associated with lower IPF risk [OR = 0.27; 95% CI 0.09–0.82; P = 0.02]. No causal effects of accelerometry-based PA or sedentary time on the risk of IPF were observed.ConclusionsOur findings supported a protective relationship between self-reported PA and the risk for IPF. The results suggested that enhancing PA may be an effective preventive strategy for IPF.

Environmental Causes of Idiopathic Pulmonary Fibrosis.

Idiopathic pulmonary fibrosis (IPF), the most common and severe of the idiopathic interstitial pneumonias, is a chronic and relentlessly progressive disease, which occurs mostly in middle-aged and elderly males. Although IPF is by definition "idiopathic", multiple factors have been reported to increase disease risk, aging being the most prominent one. Several occupational and environmental exposures, including metal dust, wood dust and air pollution, as well as various lifestyle variables, including smoking and diet, have also been associated with an increased risk of IPF, probably through interaction with genetic factors. Many of the predisposing factors appear to act also as trigger for acute exacerbations of the disease, which herald a poor prognosis. The more recent literature on inhalation injuries has focused on the first responders in the World Trade Center attacks and military exposure. In this review, we present an overview of the environmental and occupational causes of IPF and its pathogenesis. While our list is not comprehensive, we have selected specific exposures to highlight based on their overall disease burden.