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Introduction: This study aimed to identify new clinical phenotypes of microscopic polyangiitis (MPA) using a principal components analysis (PCA)-based cluster analysis.
Methods: A total of 189 patients with MPA between May 2005 and December 2021 were enrolled from a multicenter cohort in Japan (REVEAL cohort). Categorical PCA and cluster analysis were performed based on clinical, laboratory, and radiological findings. Clinical characteristics and outcomes, including all-cause mortality, respiratory-related mortality, end-stage renal disease (ESRD), and relapse were compared between each cluster.
Results: Eleven clinical variables were transformed into four components using categorical PCA and synthetic variables were created. Additionally, a cluster analysis was performed using these variables to classify patients with MPA into subgroups. Four distinct clinical subgroups were identified: Cluster 1 included the renal involvements and diffuse alveolar hemorrhage (DAH)-dominant group (N=33). Cluster 2 comprised the elderly onset systemic inflammation group (N=75). Cluster 3 included patients in the younger-onset limited-organ disease group (N=45). Cluster 4 was comprised of an ILD-predominant group without kidney involvement (N=36). 61 patients died during follow-up, with 32 dying of respiratory-related causes. Additionally, 19 patients developed ESRD and 70 relapsed. Cluster 1 showed the worst ESRD-free survival and relapse rates, whereas Cluster 2 showed the worst overall survival and respiratory-related death-free survival rates among the four groups.
Conclusions: Our study identified four unique subgroups with different MPA outcomes. Individualized treatments for each subgroup may be required to improve the prognosis of MPA.
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http://dx.doi.org/10.3389/fimmu.2024.1450153 | DOI Listing |
J Econ Entomol
September 2025
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
The ability of parasitoid wasps to precisely locate hosts in complex environments is a key factor in suppressing pest populations. Chemical communication plays an essential role in mediating insect behaviors such as locating food sources, hosts, and mates. Odorant receptors (ORs) are the key connection between external odors and olfactory nerves.
View Article and Find Full Text PDFJCO Glob Oncol
May 2025
Department of Obstetrics and Gynaecology, Stanford University School of Medicine, Stanford, CA.
Purpose: Expanding high-risk human papillomavirus (HPV) vaccine coverage in resource-constrained settings is critical to bridging the cervical cancer gap and achieving the global action plan for elimination. Mobile health (mHealth) technology via short message services (SMS) has the potential to improve HPV vaccination uptake. The mHealth-HPVac study evaluated the effectiveness of mHealth interventions in increasing HPV vaccine uptake among mothers of unvaccinated girls aged 9-14 years in Lagos, Nigeria.
View Article and Find Full Text PDFMicrob Genom
September 2025
National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Taiwan, ROC.
remains a leading respiratory pathogen for children and the elderly. In Taiwan, a national PCV13 catch-up vaccination programme for children began in March 2013. This study investigates the population structure and antimicrobial profiles of pneumococcal isolates in Taiwan from 2006 to 2022.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, The University of Texas at Dallas, TX United States.
Motivation: The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profiling while preserving spatial and morphological context. Understanding gene functions and interactions in different spatial domains is crucial, as it can enhance our comprehension of biological mechanisms, such as cancer-immune interactions and cell differentiation in various regions. It is necessary to cluster tissue regions into distinct spatial domains and identify discriminating genes that elucidate the clustering result, referred to as spatial domain-specific discriminating genes (DGs).
View Article and Find Full Text PDFBrief Bioinform
August 2025
School of Computer Science, Xi'an Polytechnic University, 710048, Xi'an, China.
Cancer, with its inherent heterogeneity, is commonly categorized into distinct subtypes based on unique traits, cellular origins, and molecular markers specific to each type. However, current studies primarily rely on complete multi-omics datasets for predicting cancer subtypes, often overlooking predictive performance in cases where some omics data may be missing and neglecting implicit relationships across multiple layers of omics data integration. This paper introduces Multi-Layer Matrix Factorization (MLMF), a novel approach for cancer subtyping that employs multi-omics data clustering.
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