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Inverted J-Shaped Association of High-Sensitivity C-Reactive Protein with the Levels of Serum Uric Acid: Cross-Sectional and Longitudinal Analyses

Authors Liu XZ , Tian YJ, Fan J, Liu LY

Received 18 November 2021

Accepted for publication 7 January 2022

Published 16 January 2022 Volume 2022:15 Pages 341—344

DOI https://doi.org/10.2147/JIR.S350057

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Ning Quan



Xing Zhen Liu,1,* Ya Jun Tian,1,* Jie Fan,2 Lian Yong Liu3

1Department of Health Management, Hangzhou Aeronautical Sanatorium for Special Service of China Air Force, Hangzhou, People’s Republic of China; 2Department of Traffic Management Engineering, Zhejiang Police College, Hangzhou, People’s Republic of China; 3Department of Endocrinology, Punan Hospital of Pudong New District, Shanghai, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Jie Fan, Zhejiang Police College, No. 555 Binwen Road, Binjiang District, Hangzhou, People’s Republic of China, Tel +8613567198867, Fax +8657131161558, Email [email protected]
Lian Yong Liu, Department of Endocrinology, Punan Hospital of Pudong New District, No. 279 Linyi Road, Pudong, Shanghai, 200336, People’s Republic of China, Tel +8613564144866, Fax +862158892708, Email [email protected]

Experimental and epidemiological studies have demonstrated that hyperuricemia participates in the development of metabolic and cardiovascular diseases by inducing inflammation.1,2 In turn, however, the changing pattern of serum uric acid (SUA) levels in the inflammatory environment reported in available literatures is still inconsistent. Several studies had reported that high-sensitivity C-reactive protein (hsCRP), a general marker of systemic inflammation, was positively associated with elevated levels of SUA.3 On the contrary, a significant decrease in SUA levels have also been observed during acute gouty and some other inflammatory arthritis.4 Thus, we propose a hypothesis that there may be a non-linear relationship between CRP and SUA.

In order to comprehensively evaluate the association of hsCRP with SUA levels, combined cross-sectional and longitudinal study design was used. The cross-sectional and longitudinal clinical data were extracted from our routine health examination database (2013–2021). The inclusion criteria was that those individuals who had complete anthropometric, biochemical, and hsCRP data. Exclusion criteria included acute phase of infectious diseases, autoimmune disease, and the use of UA-lowering drugs and immunomodulators. The use of these data and study protocols were approved by the ethics committee of Punan Hospital of Pudong New District.

Height, weight, waist circumference (WC), and hip circumference were measured by well-trained nurses. Venous blood samples were drawn in the morning at fasting state. Fasting plasma glucose (FPG), SUA, and lipid parameters were measured by a biochemical autoanalyzer (Hitachi 7100). Plasma hsCRP was measured by means of particle-enhanced immunonephelometry on biochemical autoanalyzer (Hitachi 7100). Body mass index (BMI) was calculated as weight divided by the square of height; hyperuricemia was defined as SUA ≥420μmol/L.

Natural logarithmic transformation of hsCRP was performed to normalize its distribution. Smooth curve fitting was used to visualize the associations of hsCRP with SUA levels. Logistic regression (adjusting for age, gender, smoking, drinking, BMI, WC, FPG, and lipid parameters) and Cox proportional hazards models (adjusting for baseline age, gender, smoking, drinking, BMI, WC, FPG, lipid parameters, and follow-up time) with cubic spline functions were performed to examine the association of hsCRP with hyperuricemia.

A total of 29,926 adults were enrolled in cross-sectional analysis, whose mean age was 46.5 years and 37% were women. Their mean SUA and hsCRP concentrations were 348.8μmol/L and 1.68 mg/L, respectively. Another 7178 adults were included in the longitudinal analyses. Their mean baseline age was 48.0 years and 33.8% were women. The average observational time was 4.1 (1–7) years. Their mean baseline SUA and hsCRP concentrations were 357.9 μmol/L and 1.95 mg/L, respectively.

As shown in Figure 1, the fully adjusted smooth curve fitting presented a non-linear association of hsCRP with SUA and hyperuricemia. It can be seen intuitively that when the Ln (hsCRP) was less than 1.5 (hsCRP<4.5mg/L), both the SUA levels and hyperuricemia risk elevated with the increase of hsCRP. However, when the Ln (hsCRP) was higher than 1.5 (hsCRP<4.5mg/L), the SUA levels and hyperuricemia risk began to show a downward trend as hsCRP raised.

Figure 1 Cross-sectional (A and B) and longitudinal (C and D) association of hsCRP with SUA and hyperuricaemia.

Abbreviations: SUA, serum uric acid; hsCRP, high-sensitivity C-reactive protein.

UA is not only a pro-inflammatory agent, but also an antioxidant, which making up about 50% of the antioxidant capacity present in human biological fluids. Due to the protective effect of UA, theoretically, subclinical chronic low-grade inflammation may cause an adaptively increase of SUA levels. This may explain the rising part of the fitted curve (hsCRP<4.5mg/L).

When hsCRP continued to rise (>4.5mg/L), we found that SUA levels or the risk of hyperuricemia began to drop. This trend of changes in SUA levels can also find good examples in clinical practice. For instance, the levels of serum UA usually decrease during gout flares.4 In the situation of acute systemic inflammatory response induced by elective knee or hip surgery, a decrease in SUA concentrations was observed.5 Conversely, when systemic inflammation was suppressed, an increase in the levels of SUA in patients with systemic autoimmune rheumatic diseases was also observed.6

There are several possible explanations for the decrease in SUA levels in higher inflammatory states. First, the increased excretion of UA in a high-grade inflammation may explain the decrease of SUA levels. Second, the neutralizing effect of UA on free radicals and other oxidative stress factors may consume a part of UA. UA can be non-enzymatically oxidized into allantoin by ROS in spite of the lack of uricase.7 Higher levels of allantoin observed in individuals with active rheumatoid arthritis and gout flares are good proof of the above process.

In short, we confirmed the inverted U- or J-shaped association of hsCRP with SUA levels among “apparently healthy” population, both cross-sectionally and longitudinally. Their non-linear relationship can not only help us better understand some interesting clinical phenomena, but also the etiology of hyperuricemia.

Data Sharing Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics Approval and Consent to Participate

The research protocol was approved by the ethics committee or review committee of the Punan Hospital of Pudong New District.

Consent for Publication

All authors agree to publish this work.

Acknowledgments

We would like to thank the colleagues in the Health Management Center, whose long-term work has accumulated a lot of clinical data for us.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Funding

This study was supported in part by Outstanding Leaders Training Program of Pudong Health Bureau of Shanghai (PWRI2018-02), Special Scientific Research Project on Health Care of People’s Liberation Army (14BJZ31), and General Project of Hangzhou Aeronautical Sanatorium for Special Service of China Air Force (20TLMS004).

Disclosure

The authors report no conflicts of interest.

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