Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis

Abstract Background An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and...

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Main Authors: Yolanda Peña-López, Naureen G. Tareen, Bo Zhang, Indu Raman, Carlos A. Arana, Chengsong Zhu, Yang Liu, Pratibha Selvakumar, Nicolai S. C. van Oers, Simrat Morris, Lora V. Hooper, Lawson A. B. Copley, Prithvi Raj
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Pediatric Rheumatology Online Journal
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Online Access:https://doi.org/10.1186/s12969-025-01060-z
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author Yolanda Peña-López
Naureen G. Tareen
Bo Zhang
Indu Raman
Carlos A. Arana
Chengsong Zhu
Yang Liu
Pratibha Selvakumar
Nicolai S. C. van Oers
Simrat Morris
Lora V. Hooper
Lawson A. B. Copley
Prithvi Raj
author_facet Yolanda Peña-López
Naureen G. Tareen
Bo Zhang
Indu Raman
Carlos A. Arana
Chengsong Zhu
Yang Liu
Pratibha Selvakumar
Nicolai S. C. van Oers
Simrat Morris
Lora V. Hooper
Lawson A. B. Copley
Prithvi Raj
author_sort Yolanda Peña-López
collection DOAJ
description Abstract Background An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and care for affected individuals. Methods Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach. The multi-omics combined bacterial 16S rRNA metagenomics, single cell transcriptomics, and proteomics on knee joint fluid specimens. The diagnostic value of the multi-omics was ascertained relative to standard of care culture and PCR-negative results. Results Ten children with suspected primary septic arthritis and two with acute hematogenous osteomyelitis (AHO) diagnoses were assessed. Joint fluid bacterial cultures were positive for 6/12 (50%) patients, consistent with elevated inflammatory markers (IL-4, IL-6, IL-17A, TNF-a, etc.). Metagenomic bacterial sequencing results were 100% concordant with the culture results. Six patients were culture- and PCR-negative. Multiomics analyses of the 6 culture negative patients established that 2/6 culture-negative children had inflammatory arthritis with potential Juvenile idiopathic arthritis (JIA) and 1 had post-Streptococcal Reactive Arthritis. The children without any bacteremia had autoantibodies (IgGs) in the joint-fluid targeting several nuclear antigens (i.e., dsDNA, histones, Jo-1, scl-70, Ro/SS-A, SmDs, CENP-A along with non-nuclear antigens i.e. Albumin, Collagens, Myosin, Laminin, etc. Single cell transcriptomics confirmed an abundance of CD4+ follicular helper T (Tfh), CD8 + T cells and B cells in the autoantibody positive subjects. The combination of 16S DNA sequencing (p = 0.006), cytokine assays (p = 0.009) and autoantibody profiling (p = 0.02) were significantly distinct between those children with and without infections. This improved the diagnostic confidence for 9 of 12 (75%) children, key for treatment decisions. Conclusions The multiomics approach rapidly identified children with bacterial or autoimmune inflammatory conditions, improving diagnostic and treatment strategies for those with presumptive septic arthritis.
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spelling doaj-art-a67a1f02827e4dfbb958a678c169865d2025-01-26T12:19:54ZengBMCPediatric Rheumatology Online Journal1546-00962025-01-0123111210.1186/s12969-025-01060-zJoint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritisYolanda Peña-López0Naureen G. Tareen1Bo Zhang2Indu Raman3Carlos A. Arana4Chengsong Zhu5Yang Liu6Pratibha Selvakumar7Nicolai S. C. van Oers8Simrat Morris9Lora V. Hooper10Lawson A. B. Copley11Prithvi Raj12Department of Immunology, University of Texas Southwestern Medical CenterDepartment of Pediatric Orthopaedic Surgery, Children’s Health System of TexasDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDivision of Rheumatology, Department of Pediatrics, UT Southwestern Medical CenterDepartment of Immunology, University of Texas Southwestern Medical CenterDepartment of Pediatric Orthopaedic Surgery, Children’s Health System of TexasDepartment of Immunology, University of Texas Southwestern Medical CenterAbstract Background An accurate diagnosis of septic versus reactive or autoimmune arthritis remains clinically challenging. A multi-omics strategy comprising metagenomic and proteomic technologies were undertaken for children diagnosed with presumed septic arthritis to advance clinical diagnoses and care for affected individuals. Methods Twelve children with suspected septic arthritis were prospectively enrolled to compare standard of care tests with a rapid multi-omics approach. The multi-omics combined bacterial 16S rRNA metagenomics, single cell transcriptomics, and proteomics on knee joint fluid specimens. The diagnostic value of the multi-omics was ascertained relative to standard of care culture and PCR-negative results. Results Ten children with suspected primary septic arthritis and two with acute hematogenous osteomyelitis (AHO) diagnoses were assessed. Joint fluid bacterial cultures were positive for 6/12 (50%) patients, consistent with elevated inflammatory markers (IL-4, IL-6, IL-17A, TNF-a, etc.). Metagenomic bacterial sequencing results were 100% concordant with the culture results. Six patients were culture- and PCR-negative. Multiomics analyses of the 6 culture negative patients established that 2/6 culture-negative children had inflammatory arthritis with potential Juvenile idiopathic arthritis (JIA) and 1 had post-Streptococcal Reactive Arthritis. The children without any bacteremia had autoantibodies (IgGs) in the joint-fluid targeting several nuclear antigens (i.e., dsDNA, histones, Jo-1, scl-70, Ro/SS-A, SmDs, CENP-A along with non-nuclear antigens i.e. Albumin, Collagens, Myosin, Laminin, etc. Single cell transcriptomics confirmed an abundance of CD4+ follicular helper T (Tfh), CD8 + T cells and B cells in the autoantibody positive subjects. The combination of 16S DNA sequencing (p = 0.006), cytokine assays (p = 0.009) and autoantibody profiling (p = 0.02) were significantly distinct between those children with and without infections. This improved the diagnostic confidence for 9 of 12 (75%) children, key for treatment decisions. Conclusions The multiomics approach rapidly identified children with bacterial or autoimmune inflammatory conditions, improving diagnostic and treatment strategies for those with presumptive septic arthritis.https://doi.org/10.1186/s12969-025-01060-zAutoimmuneCytokine Infection16S rRNA bacterial sequencingMetagenomicsNext-generation sequencing (NGS)Pediatric
spellingShingle Yolanda Peña-López
Naureen G. Tareen
Bo Zhang
Indu Raman
Carlos A. Arana
Chengsong Zhu
Yang Liu
Pratibha Selvakumar
Nicolai S. C. van Oers
Simrat Morris
Lora V. Hooper
Lawson A. B. Copley
Prithvi Raj
Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
Pediatric Rheumatology Online Journal
Autoimmune
Cytokine Infection
16S rRNA bacterial sequencing
Metagenomics
Next-generation sequencing (NGS)
Pediatric
title Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
title_full Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
title_fullStr Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
title_full_unstemmed Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
title_short Joint fluid multi-omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
title_sort joint fluid multi omics improves diagnostic confidence during evaluation of children with presumed septic arthritis
topic Autoimmune
Cytokine Infection
16S rRNA bacterial sequencing
Metagenomics
Next-generation sequencing (NGS)
Pediatric
url https://doi.org/10.1186/s12969-025-01060-z
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