Evidence map›Paper›PMID 42857117›Full record

ArticleFrontiers in microbiology2026

Neutrophil CD64 index for diagnosing and tracking treatment response across the mycobacterial infection spectrum: a retrospective two-cohort study.

Yuxi Chen, Xu Ma, Lei Wang, Yankun Li, Kun Tong, Jinghui Yang, Fangyou Yu, Xiaocui Wu

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Article in Frontiers in microbiology, 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yuxi ChenDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Xu MaDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Lei WangDepartment of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Yankun LiDepartment of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Kun TongDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Jinghui YangDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Fangyou YuDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaocui WuDepartment of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The neutrophil CD64 (nCD64) index has emerged as a promising biomarker for infection detection, but its evaluation within the mycobacterial infection spectrum remains limited. Here, we evaluated the diagnostic and treatment response performance of the nCD64 index in the active tuberculosis (ATB)-including pulmonary tuberculosis (PTB) and extrapulmonary tuberculosis (ePTB), and non-tuberculous mycobacterial (NTM) disease, and determined whether it adds value beyond standard inflammatory indicators. Methods: We measured the nCD64 index in a cross-sectional cohort comprising 248 participants across five groups: ATB, latent tuberculosis infection (LTBI), NTM, bacterial pulmonary infection (PI) and healthy donors (HD). Patients with ATB and NTM had not received anti-mycobacterial treatment at the time of enrollment. Diagnostic performance was assessed by receiver operating characteristic (ROC) curve analysis, and incremental value beyond white blood cell (WBC) count and C-reactive protein (CRP) was evaluated by comparing an area under the curve (AUC) with and without nCD64 index. In a separate longitudinal cohort of 244 participants, nCD64 index was measured at baseline and months 1-3 of anti-mycobacterial therapy, and longitudinal trajectories were compared between treatment-naive and retreatment patients using a linear mixed-effects (LME) model. Results: nCD64 index was markedly elevated in ATB compared to all other groups (all Conclusion: The nCD64 index discriminates ATB from LTBI and NTM, adds diagnostic value beyond routine inflammatory markers, and tracks serial changes during treatment in both ATB and NTM. Treatment-naive patients showed more pronounced decline trajectories, supporting particular utility of the nCD64 index for tracking initial treatment response. It warrants further evaluation as a complementary biomarker in the clinical management of mycobacterial infections.

Indexed as

biomarkerdifferential diagnosismycobacterial infectionneutrophil CD64non-tuberculous mycobacteria (NTM)tuberculosis

Identifiers

PMID42857117
PMCPMC13649758

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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.