Divergent associations of inflammatory markers with bone turnover markers in elderly patients with osteoporotic fractures

The association between inflammatory markers (IMs) and bone turnover markers (BTMs) in osteoporotic fracture patients has not been comprehensively studied. Therefore, this study examined the correlation between the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), or Monocyte-to-lymphocyte ratio (MLR) and BTMs in osteoporosis (OP) fracture patients. This retrospective cross-sectional study analyzed 740 OP fracture patients admitted to the hospital from January 2017 to July 2022. MLR, NLR, and PLR were calculated based on each patient's complete blood count. The relationship between IMs and BTMs was assessed using three models by adjusting variables. Furthermore, the potential curve relationship between IMs and BTMs was also determined via the threshold effect analysis and curve fittings. In addition, stratified analysis was performed on each adjusted variable to confirm the stability of the results. After adjusting the variables, the results showed that NLR was negatively correlated with procollagen type 1 N-terminal propeptide (P1NP) (β = -1.1788, 95% CI: -1.7230 to -0.6345, P-value < 0.0001) and β-C-terminal telopeptide of type I collagen (β-CTX) (β = -0.0104, 95% CI: -0.0145 to -0.0062, P-value < 0.0001), Furthermore, MLR was negatively correlated with P1NP (β = -17.4523, 95% CI: -27.7335 to -7.1710, P-value = 0.0009) and β-CTX (β = -0.1327, 95% CI: -0.2211 to -0.0443, P-value = 0.0034). However, PLR indicated a positive correlation with P1NP (β = 0.0326, 95% CI: 0.0007 to 0.0645, P-value = 0.0458) and β-CTX (β = 0.0003, 95% CI: 0.0001 to 0.0006, P-value = 0.0204). The threshold effect analysis and curve fittings revealed the presence of a turning point between NLR, MLR, and P1NP, β-CTX. In addition, the stratified analysis validated the result's stability. In conclusion, this study indicates a negative correlation between NLR and MLR with P1NP, while PLR shows a positive correlation with P1NP. Additionally, NLR and MLR exhibit a negative correlation with β-CTX, whereas PLR demonstrates a positive correlation with β-CTX. Further research is required to assess the intricate mechanisms linking IM with bone metabolism.

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Publication Details

Journal
Scientific Reports
Published
2024-10-22
DOI
https://doi.org/10.1038/s41598-024-75704-7
Citations
11
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
5.26

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article

Divergent associations of inflammatory markers with bone turnover markers in elderly patients with osteoporotic fractures

Ya-qin Gong, Chong Li, Min-zhe Xu, Ke Lü et al.
11 citations
Scientific Reports
Bone health and osteoporosis research
5.26
article

Divergent associations of inflammatory markers with bone turnover markers in elderly patients with osteoporotic fractures

Ya-qin Gong, Chong Li, Min-zhe Xu, Ke Lü, Jian Xu, Y. Guo, Shao-Han Guo
article en
11 citations

Abstract

The association between inflammatory markers (IMs) and bone turnover markers (BTMs) in osteoporotic fracture patients has not been comprehensively studied. Therefore, this study examined the correlation between the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), or Monocyte-to-lymphocyte ratio (MLR) and BTMs in osteoporosis (OP) fracture patients. This retrospective cross-sectional study analyzed 740 OP fracture patients admitted to the hospital from January 2017 to July 2022. MLR, NLR, and PLR were calculated based on each patient's complete blood count. The relationship between IMs and BTMs was assessed using three models by adjusting variables. Furthermore, the potential curve relationship between IMs and BTMs was also determined via the threshold effect analysis and curve fittings. In addition, stratified analysis was performed on each adjusted variable to confirm the stability of the results. After adjusting the variables, the results showed that NLR was negatively correlated with procollagen type 1 N-terminal propeptide (P1NP) (β = -1.1788, 95% CI: -1.7230 to -0.6345, P-value < 0.0001) and β-C-terminal telopeptide of type I collagen (β-CTX) (β = -0.0104, 95% CI: -0.0145 to -0.0062, P-value < 0.0001), Furthermore, MLR was negatively correlated with P1NP (β = -17.4523, 95% CI: -27.7335 to -7.1710, P-value = 0.0009) and β-CTX (β = -0.1327, 95% CI: -0.2211 to -0.0443, P-value = 0.0034). However, PLR indicated a positive correlation with P1NP (β = 0.0326, 95% CI: 0.0007 to 0.0645, P-value = 0.0458) and β-CTX (β = 0.0003, 95% CI: 0.0001 to 0.0006, P-value = 0.0204). The threshold effect analysis and curve fittings revealed the presence of a turning point between NLR, MLR, and P1NP, β-CTX. In addition, the stratified analysis validated the result's stability. In conclusion, this study indicates a negative correlation between NLR and MLR with P1NP, while PLR shows a positive correlation with P1NP. Additionally, NLR and MLR exhibit a negative correlation with β-CTX, whereas PLR demonstrates a positive correlation with β-CTX. Further research is required to assess the intricate mechanisms linking IM with bone metabolism.

Scientific ReportsVol. 14(1)
Jiangsu University (CN), First People's Hospital of Kunshan (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province
Zero hunger
Openalex Percentile: Top 3%
Bone health and osteoporosis research
5.26
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