Browsing by Subject "Endotype"

Now showing 1 - 5 of 5
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    A set of circulating microRNAs belonging to the 14q32 chromosome locus identifies two subgroups of individuals with recent-onset type 1 diabetes
    (Elsevier, 2024) Sebastiani, Guido; Grieco, Giuseppina Emanuela; Bruttini, Marco; Auddino, Stefano; Mori, Alessia; Toniolli, Mattia; Fignani, Daniela; Licata, Giada; Aiello, Elena; Nigi, Laura; Formichi, Caterina; Fernandez-Tajes, Juan; Pugliese, Alberto; Evans-Molina, Carmella; Overbergh, Lut; Tree, Timothy; Peakman, Mark; Mathieu, Chantal; Dotta, Francesco; INNODIA investigators; Pediatrics, School of Medicine
    Circulating microRNAs (miRNAs) are linked to the onset and progression of type 1 diabetes mellitus (T1DM), thus representing potential disease biomarkers. In this study, we employed a multiplatform sequencing approach to analyze circulating miRNAs in an extended cohort of prospectively evaluated recent-onset T1DM individuals from the INNODIA consortium. Our findings reveal that a set of miRNAs located within T1DM susceptibility chromosomal locus 14q32 distinguishes two subgroups of individuals. To validate our results, we conducted additional analyses on a second cohort of T1DM individuals, confirming the identification of these subgroups, which we have named cluster A and cluster B. Remarkably, cluster B T1DM individuals, who exhibit increased expression of a set of 14q32 miRNAs, show better glycemic control and display a different blood immunomics profile. Our findings suggest that this set of circulating miRNAs can identify two different T1DM subgroups with distinct blood immunomics at baseline and clinical outcomes during follow-up.
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    All Chronic Rhinosinusitis Endotype Clusters Demonstrate Improvement in Patient Reported and Clinical Outcome Measures after Endoscopic Sinus Surgery
    (Wiley, 2024) Chapurin, Nikita; Schlosser, Rodney J.; Gutierrez, Jorge; Mace, Jess C.; Smith, Timothy L.; Bodner, Todd E.; Khan, Sofia; Mulligan, Jennifer K.; Mattos, Jose L.; Alt, Jeremiah A.; Ramakrishnan, Vijay R.; Soler, Zachary M.; Otolaryngology -- Head and Neck Surgery, School of Medicine
    Background: It is unclear whether chronic rhinosinusitis (CRS) endotypes show a differential response to endoscopic sinus surgery (ESS). We explored patient mucous inflammatory cytokine expression and associations with patient-reported and clinically measured post-operative outcome measures. Methods: Patients with CRS were prospectively recruited between 2016 and 2021 into a national multicenter, observational study. Mucus was collected from the olfactory cleft preoperatively and evaluated for 26 biomarkers using cluster analysis. Patient-reported outcome measures included the 22-item Sino-Nasal Outcome Test (SNOT-22) and Questionnaire of Olfactory Dysfunction (QOD). Additional clinical measures of disease severity included threshold, discrimination, and identification (TDI) scores using "Sniffin' Sticks" testing and Lund-Kennedy endoscopic score (LKES). Results: A total of 115 patients were clustered into type 2 inflammatory, non-type 2 inflammatory, noninflammatory, and two indeterminate clusters based on individual protein levels. Overall, the type 2 inflammatory cluster was found to have the highest mean improvement in both SNOT-22 (-28.3 [standard deviation, ±16.2]) and TDI (6.5 [standard deviation, ±7.9]) scores 6 months after ESS. However, on average, all endotype clusters demonstrated improvement in all outcome measures after ESS without statistically significant between-group differences in SNOT-22 (p = 0.738), QOD (p = 0.306), TDI (p = 0.358), or LKES (p = 0.514) measures. Conclusions: All CRS endotype clusters responded favorably to surgery and showed improvements in patient-reported and objective outcome measures. Thus, ESS should be considered a more generalized CRS therapy, and benefits appear to not be limited to specific endotypes.
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    Clinical and molecular implications of RGS2 promoter genetic variation in severe asthma
    (Elsevier, 2022) Cardet, Juan Carlos; Kim, Donghwa; Bleecker, Eugene R.; Casale, Thomas B.; Israel, Elliot; Mauger, David; Meyers, Deborah A.; Ampleford, Elizabeth; Hawkins, Gregory A.; Tu, Yaping; Liggett, Stephen B.; Ortega, Victor E.; SARP-3 investigators; Pediatrics, School of Medicine
    Background: Regulator of G protein signaling (RGS) 2 terminates bronchoconstrictive Gαq signaling; murine RGS2 knockout demonstrate airway hyperresponsiveness. While RGS2 promoter variants rs2746071 and rs2746072 associate with a clinical mild asthma phenotype, their impact on human airway smooth muscle (HASM) contractility and asthma severity outcomes is unknown. Objective: We sought to determine whether reductions in RGS2 expression seen with these 2 RGS2 promoter variants augment HASM contractility and associate with an asthma severity phenotype. Methods: We transfected HASM with a range of RGS2-specific small interfering RNA (siRNA) concentrations and determined RGS2 protein expression by Western blot analysis and intracellular calcium flux induced by histamine (a Gαq-coupled H1 receptor bronchoconstrictive agonist). We conducted regression-based genotype association analyses of RGS2 variants from 611 patients from the National Heart, Lung, and Blood Institute Severe Asthma Research Program 3. Results: RGS2-specific siRNA caused dose-dependent increases in histamine-stimulated bronchoconstrictive intracellular calcium signaling (2-way ANOVA, P < .0001) with a concomitant decrease in RGS2 protein expression. RGS2-specific siRNA did not affect Gαq-independent ionomycin-induced intracellular calcium signaling (P = .42). The minor allele frequency of rs2746071 and rs2746072 was 0.46 and 0.28 among African American/non-Hispanic Black patients and was 0.28 and 0.27 among non-Hispanic White patients, among whom these single nucleotide polymorphisms were in stronger linkage disequilibrium (r2 = 0.97). Among non-Hispanic White patients, risk allele homozygotes for rs2746072 and rs2746071 each had nearly 2-fold greater asthma exacerbation rates relative to alternative genotypes with wild-type alleles (Padditive = 2.86 × 10-5/Precessive = 5.22 × 10-6 and Padditive = 3.46 × 10-6/Precessive = 6.74 × 10-7, respectively) at baseline, which was confirmed by prospective longitudinal exacerbation data. Conclusion: RGS2 promoter variation associates with a molecular and clinical phenotype characterized by enhanced bronchoconstrictive stimulation in vitro and higher asthma exacerbations rates in non-Hispanic White patients.
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    Derivation, validation, and transcriptomic assessment of pediatric septic shock phenotypes identified through latent profile analyses: Results from a prospective multi-center observational cohort
    (Research Square, 2023-12-06) Atreya, Mihir R.; Huang, Min; Moore, Andrew R.; Zheng, Hong; Hasin-Brumshtein, Yehudit; Fitzgerald, Julie C.; Weiss, Scott L.; Cvijanovich, Natalie Z.; Bigham, Michael T.; Jain, Parag N.; Schwarz, Adam J.; Lutfi, Riad; Nowak, Jeffrey; Thomas, Neal J.; Quasney, Michael; Dahmer, Mary K.; Baines, Torrey; Haileselassie, Bereketeab; Lautz, Andrew J.; Stanski, Natalja L.; Standage, Stephen W.; Kaplan, Jennifer M.; Zingarelli, Basilia; Sweeney, Timothy E.; Khatri, Purvesh; Sanchez-Pinto, L. Nelson; Kamaleswaran, Rishikesan; Pediatrics, School of Medicine
    Background: Sepsis poses a grave threat, especially among children, but treatments are limited due to clinical and biological heterogeneity among patients. Thus, there is an urgent need for precise subclassification of patients to guide therapeutic interventions. Methods: We used clinical, laboratory, and biomarker data from a prospective multi-center pediatric septic shock cohort to derive phenotypes using latent profile analyses. Thereafter, we trained a support vector machine model to assign phenotypes in a hold-out validation set. We tested interactions between phenotypes and common sepsis therapies on clinical outcomes and conducted transcriptomic analyses to better understand the phenotype-specific biology. Finally, we compared whether newly identified phenotypes overlapped with established gene-expression endotypes and tested the utility of an integrated subclassification scheme. Findings: Among 1,071 patients included, we identified two phenotypes which we named 'inflamed' (19.5%) and an 'uninflamed' phenotype (80.5%). The 'inflamed' phenotype had an over 4-fold risk of 28-day mortality relative to those 'uninflamed'. Transcriptomic analysis revealed overexpression of genes implicated in the innate immune response and suggested an overabundance of developing neutrophils, pro-T/NK cells, and NK cells among those 'inflamed'. There was no significant overlap between endotypes and phenotypes. However, an integrated subclassification scheme demonstrated varying survival probabilities when comparing endophenotypes. Interpretation: Our research underscores the reproducibility of latent profile analyses to identify clinical and biologically informative pediatric septic shock phenotypes with high prognostic relevance. Pending validation, an integrated subclassification scheme, reflective of the different facets of the host response, holds promise to inform targeted intervention among those critically ill.
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    Identification and transcriptomic assessment of latent profile pediatric septic shock phenotypes
    (Springer Nature, 2024-07-17) Atreya, Mihir R.; Huang, Min; Moore, Andrew R.; Zheng, Hong; Hasin-Brumshtein, Yehudit; Fitzgerald, Julie C.; Weiss, Scott L.; Cvijanovich, Natalie Z.; Bigham, Michael T.; Jain, Parag N.; Schwarz, Adam J.; Lutfi, Riad; Nowak, Jeffrey; Thomas, Neal J.; Quasney, Michael; Dahmer, Mary K.; Baines, Torrey; Haileselassie, Bereketeab; Lautz, Andrew J.; Stanski, Natalja L.; Standage, Stephen W.; Kaplan, Jennifer M.; Zingarelli, Basilia; Sahay, Rashmi; Zhang, Bin; Sweeney, Timothy E.; Khatri, Purvesh; Sanchez-Pinto, L. Nelson; Kamaleswaran, Rishikesan; Pediatrics, School of Medicine
    Background: Sepsis poses a grave threat, especially among children, but treatments are limited owing to heterogeneity among patients. We sought to test the clinical and biological relevance of pediatric septic shock subclasses identified using reproducible approaches. Methods: We performed latent profile analyses using clinical, laboratory, and biomarker data from a prospective multi-center pediatric septic shock observational cohort to derive phenotypes and trained a support vector machine model to assign phenotypes in an internal validation set. We established the clinical relevance of phenotypes and tested for their interaction with common sepsis treatments on patient outcomes. We conducted transcriptomic analyses to delineate phenotype-specific biology and inferred underlying cell subpopulations. Finally, we compared whether latent profile phenotypes overlapped with established gene-expression endotypes and compared survival among patients based on an integrated subclassification scheme. Results: Among 1071 pediatric septic shock patients requiring vasoactive support on day 1 included, we identified two phenotypes which we designated as Phenotype 1 (19.5%) and Phenotype 2 (80.5%). Membership in Phenotype 1 was associated with ~ fourfold adjusted odds of complicated course relative to Phenotype 2. Patients belonging to Phenotype 1 were characterized by relatively higher Angiopoietin-2/Tie-2 ratio, Angiopoietin-2, soluble thrombomodulin (sTM), interleukin 8 (IL-8), and intercellular adhesion molecule 1 (ICAM-1) and lower Tie-2 and Angiopoietin-1 concentrations compared to Phenotype 2. We did not identify significant interactions between phenotypes, common treatments, and clinical outcomes. Transcriptomic analysis revealed overexpression of genes implicated in the innate immune response and driven primarily by developing neutrophils among patients designated as Phenotype 1. There was no statistically significant overlap between established gene-expression endotypes, reflective of the host adaptive response, and the newly derived phenotypes, reflective of the host innate response including microvascular endothelial dysfunction. However, an integrated subclassification scheme demonstrated varying survival probabilities when comparing patient endophenotypes. Conclusions: Our research underscores the reproducibility of latent profile analyses to identify pediatric septic shock phenotypes with high prognostic relevance. Pending validation, an integrated subclassification scheme, reflective of the different facets of the host response, holds promise to inform targeted intervention among those critically ill.