# Neutrophil to lymphocyte ratio (NLR) and YKL-40 as potential markers for discriminating mycoplasma pneumoniae pneumonia from viral pneumonia in children

**Authors:** Yu Wan, Jun Lv, Fei Jiang, Fei Fan

PMC · DOI: 10.1515/med-2025-1335 · Open Medicine · 2026-02-10

## TL;DR

This study identifies YKL-40 and NLR as potential biomarkers to distinguish mycoplasma pneumonia from viral pneumonia in children.

## Contribution

The novel contribution is identifying a combination of YKL-40 and NLR as a strong predictor for differentiating MPP from VP.

## Key findings

- MPP patients had significantly higher serum YKL-40, IL-37, and mRNA levels compared to VP patients and healthy controls.
- MPP patients showed the highest NLR and PLR values among the groups.
- The combination of YKL-40 and NLR was the strongest predictor for MPP versus VP based on ROC analysis.

## Abstract

Our research aimed to explore the potential indicators in discriminating mycoplasma pneumoniae pneumonia (MPP) from viral pneumonia (VP) in children.

TaqMan PCR testing was used to detect respiratory pathogens in all pneumonia patients. The serum levels of IL-37 and YKL-40 were measured by ELISA. While the expression levels of YKL-40 and IL37 mRNA in PBMCs were detected by qRT-PCR. We calculated the neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) values from blood routine test results. This study had been registered in the Chinese Clinical Trials Registry System (MR-32-24-025608).

170 patients were selected, including 85 MPP patients and 85 VP patients. In addition, 85 healthy control children were selected for comparison. The levels of serum YKL-40, IL-37 and their mRNA expressions in MPP patients were significantly higher than in VP patients and healthy control. Similarly, MPP patients had the highest levels of NLR and PLR. According to the ROC curve result, the combination of two indicators (YKL-40 and NLR) was the strongest predictor of MP vs. VP.

These results indicate that YKL-40 and NLR constitute the critical combination of biomarkers useful for differentiating between MPP and VP in children.

## Linked entities

- **Proteins:** CHI3L1 (chitinase 3 like 1), IL37 (interleukin 37), IL37 (interleukin 37)
- **Diseases:** mycoplasma pneumoniae pneumonia (MONDO:0005867), viral pneumonia (MONDO:0006012)

## Full-text entities

- **Genes:** IL1A (interleukin 1 alpha) [NCBI Gene 3552] {aka IL-1 alpha, IL-1A, IL1, IL1-ALPHA, IL1F1}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, IL37 (interleukin 37) [NCBI Gene 27178] {aka FIL1, FIL1(ZETA), FIL1Z, IL-1F7, IL-1H, IL-1H4}, CHI3L1 (chitinase 3 like 1) [NCBI Gene 1116] {aka ASRT7, CGP-39, GP-39, GP39, HC-gp39, HCGP-3P}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, IL18R1 (interleukin 18 receptor 1) [NCBI Gene 8809] {aka CD218a, CDw218a, IL-18R, IL-18R-alpha, IL-18Ralpha, IL-1Rrp}, SIGIRR (single Ig and TIR domain containing) [NCBI Gene 59307] {aka IL-1R8, TIR8}, MPHOSPH6 (M-phase phosphoprotein 6) [NCBI Gene 10200] {aka MPP, MPP-6, MPP6}, IL13 (interleukin 13) [NCBI Gene 3596] {aka IL-13, P600}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}
- **Diseases:** malignant tumors (MESH:D009369), parainfluenza virus infection (MESH:D018184), immune disorders (MESH:D007154), Lung consolidation (MESH:D008171), 2019-nCoV (MESH:D000086382), allergic rhinitis (MESH:D065631), plastic bronchitis (MESH:D001991), infected (MESH:D007239), Chlamydia pneumoniae (MESH:D023521), MP (MESH:D011019), asthma (MESH:D001249), congenital heart disease (MESH:D006330), bronchopulmonary dysplasia (MESH:D001997), cough (MESH:D003371), hyperresponsive diseases (MESH:D012130), NLR (MESH:D015467), cerebral palsy (MESH:D002547), gastrointestinal symptoms (MESH:D012817), inflammation (MESH:D007249), pulmonary infections (MESH:D012141), bronchiectasis (MESH:D001987), viral infection (MESH:D014777), mycoplasma infections (MESH:D009175), immunodeficiency diseases (MESH:D007153), connective tissue disease (MESH:D003240), influenza A (MESH:D007251), blood disorders (MESH:D006402), atopic dermatitis (MESH:D003876), bronchiolitis (MESH:D001988), fever (MESH:D005334), acute respiratory distress syndrome (MESH:D012128), metabolic diseases (MESH:D008659), HIV (MESH:D015658), infectious diseases (MESH:D003141), B. pertussis infections (MESH:D014917), CAP (MESH:D003147), inflammatory bowel disease (MESH:D015212), wheezing (MESH:D012135), autoimmune diseases (MESH:D001327), bacterial infections (MESH:D001424), respiratory (MESH:D012131), Mycobacterium tuberculosis (MESH:D014376), allergies (MESH:D004342), M. pneumoniae pneumonia (MESH:D011014), atopic diseases (MESH:D006969), pulmonary fibrosis (MESH:D011658), COPD (MESH:D029424)
- **Chemicals:** Macrolides (MESH:D018942), tetracycline (MESH:D013752)
- **Species:** Adenoviridae (family) [taxon 10508], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Mycoplasmoides pneumoniae (Filterable agent of primary atypical pneumonia, species) [taxon 2104], Homo sapiens (human, species) [taxon 9606], Chlamydia pneumoniae (species) [taxon 83558], Influenza B virus (no rank) [taxon 11520], Enterovirus (genus) [taxon 12059], Respiratory syncytial virus (no rank) [taxon 12814], Influenza A virus (no rank) [taxon 11320], Bordetella pertussis (species) [taxon 520], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049]

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## Figures

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## References

35 references — full list in the complete paper: https://tomesphere.com/paper/PMC12917580/full.md

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Source: https://tomesphere.com/paper/PMC12917580