Abstract
Introduction: Current studies on the association between serum calcium levels and carotid atherosclerosis have yielded inconsistent results. This study aimed to elucidate this relationship through a comprehensive meta-analysis. Methods: A systematic search of PubMed, Embase, Cochrane Library, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), Weipu (VIP), and Wanfang databases was conducted, supplemented by manual retrieval, from their inception to October 2023. Two independent researchers conducted literature searches, data extraction, and quality assessment. Meta-analysis was performed using Review Manager 5.3 software on studies that met the inclusion criteria. Results: The analysis included 9 cross-sectional studies, encompassing a total sample size of 9,720 participants. The meta-analysis revealed a significant statistical difference in serum calcium levels between the carotid atherosclerosis group and the control group (p = 0.03). The standardized mean difference between the two groups was 0.21 (95% CI: 0.02, 0.41) using the control group as a reference. Conclusions: Our systematic analysis indicates a significant positive correlation between serum calcium levels and carotid atherosclerosis.
Introduction
Carotid artery stenosis, a prevalent cerebrovascular disease, significantly impacts brain blood supply and, in severe cases, can lead to serious cerebrovascular events such as ischemic stroke [1]. It is often a result of carotid atherosclerosis and plaque formation. Various factors influence carotid atherosclerosis and artery stenosis, including non-modifiable risk factors like age, gender, race, and genetics, as well as modifiable factors such as smoking, alcohol consumption, obesity, hypertension, dyslipidemia, diabetes, physical activity, and emotional stress [2‒4]. Literature reviews reveal ongoing research into the relationship between serum calcium levels and carotid atherosclerosis. The findings to date have been mixed; some studies indicate a positive correlation between serum calcium levels and the severity of carotid stenosis [5], while others refute the notion that increased calcium intake or serum levels exacerbate carotid intima-media thickness or carotid atherosclerosis [6]. Therefore, we conducted a meta-analysis and systematic review to clarify the association between serum calcium and carotid atherosclerosis, aiming to contribute new insights for its prevention.
Methods
This study is registered with PROSPERO (registration number: CRD42023482551).
Literature Search
Our search strategy involved a combination of subject terms and free words. We explored PubMed, Embase, Cochrane Library, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), Weipu (VIP), and Wanfang databases for studies published from inception to October 2023 on the relationship between calcium and carotid atherosclerosis The English search strategy included (1) various terms related to carotid stenosis, such as “Carotid Stenosis,” “Carotid Artery Narrowing,” “Internal/Common/External Carotid Artery Stenosis,” and “Carotid Artery Plaque”; (2) keywords pertaining to serum calcium, including “calcium supplements,” “calcium supplementation,” “calcium intake,” and “serum calcium.” The search was a combination of (1) and (2). In the Chinese search strategy, the terms were (1) various forms of “stenosis,” “atherosclerosis,” “plaque,” and “sclerosis;” (2) different iterations of “carotid” including “internal,” “external,” and “common carotid artery;” (3) “serum calcium,” “calcium intake,” “dietary calcium,” and “calcium supplementation.” The search combined (1), (2), and (3).
Study Selection and Date Extraction
Studies included met the following criteria: (1) observational in nature; (2) inclusion of data on participants’ serum calcium levels or calcium supplementation; (3) outcomes related to carotid atherosclerosis, such as carotid intima-media thickening, stenosis, and plaque. Two researchers independently reviewed the literature based on these criteria, extracted relevant data, and cross-checked the findings. Any discrepancies were resolved by a third reviewer. The extracted data encompassed the first author’s name, publication year, country, study design, sample size, gender and age of participants, prevalence of carotid atherosclerosis, diagnostic criteria for stenosis, and primary study results.
Quality Evaluation
Two researchers independently assessed the quality of the selected studies, with any ambiguities resolved by a third researcher. The quality evaluation criteria from the Agency for Healthcare Research and Quality (AHRQ) for observational studies were applied [7]. This assessment included 11 items such as definition of information sources, inclusion and exclusion criteria, patient continuity, blinding, quality assurance assessments, confounding factors, missing data, response rates, and patient completeness. Each item was rated as “yes,” “no,” or “unclear,” with “yes” scoring 1 point and the others 0. Item 5 was reverse-scored. The maximum score was 11, with ≥8 indicating high quality, 6–7 medium quality, and ≤5 low quality [8].
Statistical Analysis
Review Manager 5.3 software was utilized for the analysis. The I2 statistic assessed heterogeneity, and a forest plot was generated. A fixed-effect model was applied p > 0.1 and I2 < 50%, indicating good homogeneity. Conversely, p < 0.1 and I2 > 50%, indicating substantial heterogeneity, a random-effects model was used. Publication bias was examined using Egger’s test. Standardized mean difference (SMD), 95% CI, and mean or median of serum calcium levels were analyzed using the control group as a reference. Means not reported were estimated using medians and quartiles.
Results
Literature Search
From an initial tally of 5,555 articles identified through a search of nine databases and manual examination of relevant bibliographies, 9 cross-sectional studies encompassing 9,720 individuals were selected for the final analysis (Fig. 1).
Study Characteristics and Quality Evaluation
The analysis included 9 cross-sectional studies published between 2002 and 2023, comprising 7 articles in English and 2 in Chinese. The specific characteristics of these studies are detailed in Table 1. The quality of the included articles was appraised using AHRQ’s recommended standards for cross-sectional studies, categorizing all as medium or high quality. Specifically, 3 articles received a score of 8, 4 articles scored 7, and 2 articles scored 6. The details of this evaluation are presented in Table 2.
Study, year . | Country . | Source of sample . | Sample size . | Study participants . | Prevalence of stenosis, % . | Calcium assessment . | Diagnostic criteria for stenosis . | Main outcome . | |
---|---|---|---|---|---|---|---|---|---|
male/female, % . | years of age . | ||||||||
Liang [9] (2020) | China | Patients with T2DM admitted to the Department of Endocrinology of the First Affiliated Hospital of Chongqing Medical University | 213 | 65/35 | - | 52 | Serum calcium | Carotid artery ultrasound | Serum calcium levels was positively correlated with carotid IMT in patients with T2DM and is a risk factor for carotid atherosclerosis |
Ishizaka [10] (2002) | Japan | Health screening test takers at Mitsui Memorial Hospital Health Testing Service Center | 5,732 | 66/34 | 57±10 | 23 | Serum calcium | Carotid artery ultrasound | Serum calcium was an independent risk factor for carotid plaque, and it was positively correlated |
Rubin [11] (2007) | America | The Northern Manhattan Study Cohort | 1,194 | 39/61 | 68±9 | 57 | Serum calcium | Carotid artery ultrasound | The serum calcium levels of patients with plaque was higher than that of patients without plaque |
Montalcini [12] (2012) | Italy | Subjects undergoing health screening for cardiovascular risk factors at Mater Domini University Hospital, Catanzaro | 472 | 41/59 | 50±12 | 40 | Serum calcium | Carotid artery ultrasound | Normal serum calcium levels was positively correlated with carotid atherosclerosis in obese/overweight people |
Montalcini [13] (2013) | Italy | Postmenopausal women recruited from women aged 49–65 years | 413 | 0/100 | 56±7 | 52 | Serum calcium | Carotid artery ultrasound | Serum calcium levels within the normal range were positively correlated with carotid atherosclerosis in postmenopausal women |
Ramírez-Morros [14] (2017) | Spain | T2DM patients aged 40–75 years recruited from a hospital in Catalonia | 303 | - | 40∼75 | 59 | Serum calcium | Carotid artery ultrasound | Calcium phosphate products were positively correlated with carotid plaque |
Zhu [15] (2021) | China | Patients with T2DM were admitted to the Department of Endocrinology and Metabolism of the First Affiliated Hospital of Soochow University for the first time | 594 | 56/44 | 54 (47–61) | 39 | Serum calcium | Carotid artery ultrasound | Serum albumin-corrected calcium levels within the normal range were positively correlated with carotid atherosclerotic plaques |
Kang [16] (2014) | Korea | Patients visiting the health promotion center of a university-affiliated hospital | 361 | 51/49 | 52±10 | 20 | Serum calcium | MRA | Corrected serum calcium concentration was positively correlated with the presence and extent of intracranial atherosclerosis |
Yan [17] (2023) | China | Menopausal women who underwent carotid ultrasound in the Eighth People’s Hospital of Xinjiang Uygur Autonomous Region | 438 | 0/100 | - | 57 | Serum calcium | Carotid artery ultrasound | With the increase of serum calcium levels, the risk of carotid plaque decreased nonlinearly |
Study, year . | Country . | Source of sample . | Sample size . | Study participants . | Prevalence of stenosis, % . | Calcium assessment . | Diagnostic criteria for stenosis . | Main outcome . | |
---|---|---|---|---|---|---|---|---|---|
male/female, % . | years of age . | ||||||||
Liang [9] (2020) | China | Patients with T2DM admitted to the Department of Endocrinology of the First Affiliated Hospital of Chongqing Medical University | 213 | 65/35 | - | 52 | Serum calcium | Carotid artery ultrasound | Serum calcium levels was positively correlated with carotid IMT in patients with T2DM and is a risk factor for carotid atherosclerosis |
Ishizaka [10] (2002) | Japan | Health screening test takers at Mitsui Memorial Hospital Health Testing Service Center | 5,732 | 66/34 | 57±10 | 23 | Serum calcium | Carotid artery ultrasound | Serum calcium was an independent risk factor for carotid plaque, and it was positively correlated |
Rubin [11] (2007) | America | The Northern Manhattan Study Cohort | 1,194 | 39/61 | 68±9 | 57 | Serum calcium | Carotid artery ultrasound | The serum calcium levels of patients with plaque was higher than that of patients without plaque |
Montalcini [12] (2012) | Italy | Subjects undergoing health screening for cardiovascular risk factors at Mater Domini University Hospital, Catanzaro | 472 | 41/59 | 50±12 | 40 | Serum calcium | Carotid artery ultrasound | Normal serum calcium levels was positively correlated with carotid atherosclerosis in obese/overweight people |
Montalcini [13] (2013) | Italy | Postmenopausal women recruited from women aged 49–65 years | 413 | 0/100 | 56±7 | 52 | Serum calcium | Carotid artery ultrasound | Serum calcium levels within the normal range were positively correlated with carotid atherosclerosis in postmenopausal women |
Ramírez-Morros [14] (2017) | Spain | T2DM patients aged 40–75 years recruited from a hospital in Catalonia | 303 | - | 40∼75 | 59 | Serum calcium | Carotid artery ultrasound | Calcium phosphate products were positively correlated with carotid plaque |
Zhu [15] (2021) | China | Patients with T2DM were admitted to the Department of Endocrinology and Metabolism of the First Affiliated Hospital of Soochow University for the first time | 594 | 56/44 | 54 (47–61) | 39 | Serum calcium | Carotid artery ultrasound | Serum albumin-corrected calcium levels within the normal range were positively correlated with carotid atherosclerotic plaques |
Kang [16] (2014) | Korea | Patients visiting the health promotion center of a university-affiliated hospital | 361 | 51/49 | 52±10 | 20 | Serum calcium | MRA | Corrected serum calcium concentration was positively correlated with the presence and extent of intracranial atherosclerosis |
Yan [17] (2023) | China | Menopausal women who underwent carotid ultrasound in the Eighth People’s Hospital of Xinjiang Uygur Autonomous Region | 438 | 0/100 | - | 57 | Serum calcium | Carotid artery ultrasound | With the increase of serum calcium levels, the risk of carotid plaque decreased nonlinearly |
IMT, intima-media thickness; T2DM, type 2 diabetes mellitus; MRA, magnetic resonance angiography.
Item . | Liang [9] (2020) . | Ishizaka [10] (2002) . | Rubin [11] (2007) . | Montalcini [12] (2012) . | Montalcini [13] (2013) . | Ramírez-Morros [14] (2017) . | Zhu [15] (2021) . | Kang [16] (2014) . | Yan [17] (2023) . |
---|---|---|---|---|---|---|---|---|---|
1) Define the source of information (survey, record review) | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
2) List inclusion and exclusion criteria for exposed and unexposed subjects (cases and controls) or refer to previous publications | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
3) Indicate time period used for identifying patients | Yes | Yes | No | Yes | Yes | No | Yes | Yes | Yes |
4) Indicate whether or not subjects were consecutive if not population-based | No | No | No | No | No | No | No | No | No |
5) Indicate if evaluators of subjective components of study were masked to other aspects of the status of the participants | No | No | No | No | No | No | No | No | No |
6) Describe any assessments undertaken for quality assurance purposes (e.g., test/retest of primary outcome measurements) | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
7) Explain any patient exclusions from analysis | No | No | Yes | Yes | Yes | Yes | No | Yes | No |
8) Describe how confounding was assessed and/or controlled | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No |
9) If applicable, explain how missing data were handled in the analysis | No | No | No | No | No | No | No | No | No |
10) Summarize patient response rates and completeness of data collection | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
11) Clarify what follow-up, if any, was expected and the percentage of patients for which incomplete data or follow-up was obtained | No | No | No | No | No | No | No | No | No |
Total points | 6 | 7 | 7 | 8 | 8 | 7 | 7 | 8 | 6 |
Item . | Liang [9] (2020) . | Ishizaka [10] (2002) . | Rubin [11] (2007) . | Montalcini [12] (2012) . | Montalcini [13] (2013) . | Ramírez-Morros [14] (2017) . | Zhu [15] (2021) . | Kang [16] (2014) . | Yan [17] (2023) . |
---|---|---|---|---|---|---|---|---|---|
1) Define the source of information (survey, record review) | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
2) List inclusion and exclusion criteria for exposed and unexposed subjects (cases and controls) or refer to previous publications | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
3) Indicate time period used for identifying patients | Yes | Yes | No | Yes | Yes | No | Yes | Yes | Yes |
4) Indicate whether or not subjects were consecutive if not population-based | No | No | No | No | No | No | No | No | No |
5) Indicate if evaluators of subjective components of study were masked to other aspects of the status of the participants | No | No | No | No | No | No | No | No | No |
6) Describe any assessments undertaken for quality assurance purposes (e.g., test/retest of primary outcome measurements) | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
7) Explain any patient exclusions from analysis | No | No | Yes | Yes | Yes | Yes | No | Yes | No |
8) Describe how confounding was assessed and/or controlled | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No |
9) If applicable, explain how missing data were handled in the analysis | No | No | No | No | No | No | No | No | No |
10) Summarize patient response rates and completeness of data collection | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
11) Clarify what follow-up, if any, was expected and the percentage of patients for which incomplete data or follow-up was obtained | No | No | No | No | No | No | No | No | No |
Total points | 6 | 7 | 7 | 8 | 8 | 7 | 7 | 8 | 6 |
Assessment of Serum Calcium Levels in the Included Studies
The serum calcium levels assessment in the included studies was compiled and is summarized in Table 3. Carotid artery stenosis, atherosclerosis, plaque, and carotid intima-media thickness thickening groups were the case group, and the group with normal calcium levels was the control group. These 9 cross-sectional studies used serum calcium levels as a key evaluation metric. In the subgroup analysis, notable differences in serum calcium levels were observed between the control group and the case group. Specifically, mean or median blood calcium levels were higher in the case group than in the control group, except for Yan et al. [17].
Study, year . | Total serum calcium levels, mmol/L . | Control group, mmol/L . | Case group, mmol/L . | p value . |
---|---|---|---|---|
Liang [9] (2020) | - | 2.25±0.14 | 2.39±0.18 | 0.022 |
Ishizaka [10] (2002) | 2.27±0.07 | 2.27±0.07 | 2.28±0.08 | <0.001 |
Rubin [11] (2007) | 2.20±0.09 | 2.19±0.09 | 2.21±0.09 | <0.002 |
Montalcini [12] (2012) | 2.35±0.10 | 2.33±0.10 | 2.35±0.08 | 0.029 |
Montalcini [13] (2013) | 2.37±0.11 | 2.35±0.11 | 2.38±0.11 | 0.001 |
Ramírez-Morros [14] (2017) | - | 2.31 [2.25–2.34] | 2.32 [2.27–2.37] | 0.312 |
Zhu [15] (2021) | - | 2.22 [2.17–2.27] | 2.26 [2.20–2.34] | <0.001 |
Kang [16] (2014) | 2.24±0.08 | 2.24±0.09 | 2.26±0.07 | 0.034 |
Yan [17] (2023) | - | 2.45 [2.33–2.55] | 2.31 [2.21–2.39] | <0.001 |
Study, year . | Total serum calcium levels, mmol/L . | Control group, mmol/L . | Case group, mmol/L . | p value . |
---|---|---|---|---|
Liang [9] (2020) | - | 2.25±0.14 | 2.39±0.18 | 0.022 |
Ishizaka [10] (2002) | 2.27±0.07 | 2.27±0.07 | 2.28±0.08 | <0.001 |
Rubin [11] (2007) | 2.20±0.09 | 2.19±0.09 | 2.21±0.09 | <0.002 |
Montalcini [12] (2012) | 2.35±0.10 | 2.33±0.10 | 2.35±0.08 | 0.029 |
Montalcini [13] (2013) | 2.37±0.11 | 2.35±0.11 | 2.38±0.11 | 0.001 |
Ramírez-Morros [14] (2017) | - | 2.31 [2.25–2.34] | 2.32 [2.27–2.37] | 0.312 |
Zhu [15] (2021) | - | 2.22 [2.17–2.27] | 2.26 [2.20–2.34] | <0.001 |
Kang [16] (2014) | 2.24±0.08 | 2.24±0.09 | 2.26±0.07 | 0.034 |
Yan [17] (2023) | - | 2.45 [2.33–2.55] | 2.31 [2.21–2.39] | <0.001 |
Heterogeneity Test and Subgroup Analysis
Significant heterogeneity was observed among the 9 articles included in this study (I2 = 93%, p < 0.001), necessitating the use of a random-effects model. There was a large difference in serum calcium levels between the control group and the case group (p = 0.03), and overall the case group had higher serum calcium levels than the control group (Fig. 2a).
Subgroup analysis was conducted based on study region (Asia and Occident) and publication year (2002–2012, 2013–2023). The results were as follows: (1) study region subgroup – Asia [9, 10, 15‒17]: I2 = 96%, p = 0.37, SMD = 0.19 (95% CI: −0.23 to 0.61); Occident [11‒14, 16]: I2 = 0%, p < 0.01, SMD = 0.24 (95% CI: 0.16–0.32), with no significant difference between the groups (p = 0.82) (Fig. 2b). (2) Publication year subgroup – 2002–2012 [10‒12]: I2 = 0%, p < 0.01, SMD = 0.16 (95% CI: 0.11–0.21); 2013–2023 [9, 13‒17]: I2 = 95%, p = 0.29, SMD = 0.23 (95% CI: −0.19 to 0.65), with no significant difference between the periods (p = 0.76). (Fig. 2c).
Publication Bias Test
With fewer than 10 articles included, the power to assess funnel plot symmetry was insufficient. Therefore, Egger’s test was conducted using R4.3.2 software, yielding a result of p = 0.744 > 0.05, indicating no potential significant bias.
Sensitivity Analysis
Upon sequentially excluding individual studies, the I2 varied between 83% and 93%, and the Hedges effect size varied from 0.15 to 0.33, aligning closely with the combined Hedges effect size of 0.21. These findings affirm the reliability of the meta-analysis results.
Discussion
We found higher serum calcium levels in patients with carotid atherosclerosis than in controls, a meta-analysis of 9,720 participants (specifically obese/overweight individuals, postmenopausal women, and type 2 diabetes patients) from nine cross-sectional studies. This suggests a positive correlation between elevated serum calcium levels and carotid atherosclerosis, identifying high serum calcium as a potential risk factor, although one study showed a nonlinear negative correlation between serum calcium levels and the risk of carotid plaque. The association of serum calcium with carotid atherosclerosis is controversial.
The relationship between serum calcium and carotid atherosclerosis remains contentious. Variability in study populations, designs, methods, and evaluation approaches of research indicators contribute to these conflicting results. For instance, Montalcini et al. [13] studied 413 postmenopausal women aged 49–65, using carotid ultrasound and serum calcium measurements. They established a positive correlation between serum calcium levels, carotid atherosclerosis, and general risk factors such as age and systolic blood pressure through logistic regression analysis. Some studies have noted either a negative correlation or no correlation between serum calcium levels and carotid atherosclerosis. For example, a cross-sectional survey [17] observed a nonlinear decrease in carotid plaque risk with increasing serum calcium levels among postmenopausal women. Despite these varying findings, the consensus of our study leans toward a possible positive association between serum calcium levels and carotid atherosclerosis.
Mechanisms of the Effect of Serum Calcium on Carotid Atherosclerosis
The results from a cross-sectional survey [17] reveal a nonlinear decrease in carotid plaque risk corresponding to elevated serum calcium levels, suggesting complexities in the influence of serum calcium on carotid plaque. Atherosclerosis develops through calcium mineral absorption and deposition, with increased calcium ion concentration in arterial wall cells being a contributing factor [18, 19]. Prior research identifies high serum calcium as an independent risk factor for arterial vascular calcification severity [20]. Calcium supplementation significantly raises serum calcium levels, potentially accelerating vascular calcification [21, 22] and favoring plaque formation [11, 23]. Additionally, serum calcium concentration correlates with increased carotid plaque thickness in the general population [11], and arterial calcification score is a predictor of atherosclerosis [24].
Causal Relationship between Serum Calcium and Carotid Atherosclerosis
Our study only found differences in serum calcium levels between the carotid atherosclerosis group and the control group and did not conclude a causal relationship between serum calcium levels and the development of carotid atherosclerosis. Studies have shown that elevated serum calcium can increase or decrease the risk of carotid atherosclerosis [5, 6, 25], but whether the severity of carotid atherosclerosis will increase or decrease the serum calcium level is still unknown. In addition, the dose-response relationship between serum calcium level and the incidence and severity of carotid atherosclerosis has not been investigated. Therefore, further investigation into the mechanisms, causality, and dose-response relationship between serum calcium levels and carotid atherosclerosis is necessary, necessitating more prospective studies with larger, multicenter, and diverse populations.
Our study has certain limitations. First, it solely comprises cross-sectional studies, lacking diversity in research methodologies to robustly support the results. The small number of included studies also diminishes the reliability of the outcomes, rendering the verification of the relationship between serum calcium levels and carotid atherosclerosis less convincing. Second, the majority of the included literature focuses on menopausal women or patients with type 2 diabetes mellitus, thus lacking representation of the broader population. Furthermore, the findings might be confounded by factors such as age, sex, and health status, potentially obscuring the actual relationship between serum calcium levels and carotid atherosclerosis. Third, most of the literature included in our study focused on menopausal women or patients with type 2 diabetes mellitus, which lacked representation of the overall population. In addition, the findings may be confounded by other factors, such as age, sex, health status, and so may not fully reflect the true relationship between serum calcium levels and carotid atherosclerosis.
Despite the limitations, our study holds significant research value and implications. By synthesizing data from multiple studies, we observed that serum calcium levels in individuals with carotid atherosclerosis were higher compared to those without stenosis, and the incidence of carotid atherosclerosis was elevated in populations with higher serum calcium levels. These observations suggest a possible positive correlation between serum calcium levels and carotid atherosclerosis. Such findings provide a novel perspective and direction for future research and also offer a reference for clinical practice and the primary prevention of carotid atherosclerosis.
Acknowledgments
We thank the institutions and individuals who have supported our work. The views expressed in this publication are those of the author(s) and not necessarily those of their institution.
Statement of Ethics
Ethical approval and consent were not required as this study was based on publicly available data.
Conflict of Interest Statement
All authors have no potential conflicts of interest to disclose.
Funding Sources
This study was supported by the Natural Science Foundation of Shandong Province (Grant No. ZR2020MH140), Shandong Province Medical Health Science and Technology Development Plan Project (Grant No. 202012050480), and Shandong First Medical University (Shandong Academy of Medical Sciences) Youth Science Foundation Cultivation Grant Program (Grant No. 202201-029).
Author Contributions
Huan Li: conceptualization and writing – original draft; Ruicai Xu: data curation and methodology; Yizhi Liu: formal analysis; Yanli Dong: validation; Dongyue He: investigation; Xiaohui Liu: funding acquisition and writing – review and editing; Qinjian Sun: methodology and writing – review and editing; and Xuena Liu: funding acquisition and writing – review and editing.
Additional Information
Huan Li and Ruicai Xu contributed equally to this work.
Data Availability Statement
All data generated or analyzed during this study are included in this article. Further inquiries can be directed to the corresponding author.