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ArticleFrontiers in immunology2026

Pyroptosis endotypes and nonlinear biomarker-mortality relationships in older adults with community-acquired pneumonia: the amplifying role of malnutrition.

Jingxian Liao, Chenghu Ning, Yinglan Zhu, Chen Gong, Chunhui Xie, Lei Miao

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

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6 authors.

Jingxian Liao *Department of Geriatrics, The Second People's Hospital of Lianyungang Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Chenghu Ning *Department of Radiology, The Second People's Hospital of Lianyungang, Lianyungang, China.
Yinglan ZhuNanjing Hospital of Traditional Chinese Medicine, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Chen GongDepartment of Geriatrics, The Second People's Hospital of Lianyungang Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Chunhui XieDepartment of Geriatrics, The Second People's Hospital of Lianyungang Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Lei MiaoDepartment of Critical Care Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite their disproportionately high mortality from community-acquired pneumonia (CAP), older adults remain understudied regarding inflammasome-mediated cell death pathways. We sought to determine whether distinct pyroptosis activation patterns exist in this population and how nutritional status modifies their prognostic impact. Methods: This retrospective cohort study enrolled 282 patients aged ≥75 years hospitalized for CAP. We quantified circulating pyroptosis effectors (gasdermin D [GSDMD], NLRP3, caspase-1) and assessed nutritional status using the Mini Nutritional Assessment-Short Form (MNA-SF). K-means clustering identified biological endotypes; generalized additive models (GAMs) characterized nonlinear biomarker-mortality relationships. The primary endpoint was 28-day all-cause mortality. Results: Three pyroptosis endotypes emerged with markedly divergent outcomes: hyper-pyroptotic (n=73; mortality 57.5%), intermediate-pyroptotic (n=128; mortality 10.2%), and hypo-pyroptotic (n=81; mortality 1.2%). The hyper-pyroptotic endotype was characterized by severe malnutrition (48.2% with MNA-SF ≤7) and elevated cytokines (median IL-6: 98.4 pg/mL). GAM analysis revealed threshold-dependent, nonlinear relationships-mortality risk escalated sharply when GSDMD exceeded 3.5 ng/mL but showed attenuation at extreme values. Notably, two-dimensional analyses demonstrated supra-additive risk in patients with concurrent nutritional compromise and pyroptosis activation. An integrated prognostic model achieved AUC 0.898 (95% CI: 0.847-0.943), significantly outperforming the Pneumonia Severity Index alone (AUC 0.793; P<0.001), with superior net benefit across clinically relevant decision thresholds (10-30%). Conclusion: Geriatric CAP comprises biologically distinct pyroptosis endotypes. Malnutrition was associated with a stronger relationship between pyroptosis markers and short-term mortality, consistent with effect modification. These findings support integrating nutritional assessment with pyroptosis biomarker profiling for risk stratification and generate hypotheses for prospective mechanistic and interventional studies.

Indexed as

Community-Acquired PneumoniaMalnutritionPyroptosisAgedAged, 80 and overBiomarkersCommunity-Acquired InfectionsFemaleHumansInflammasomesMaleNutritional StatusPrognosisRetrospective StudiesBiomarkersInflammasomescommunity-acquired pneumoniagasdermin Dinflammasome activationNLRP3 inflammasomenutritional immunologypyroptosis

Identifiers

PMID42058214
PMCPMC13120912

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.