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Open Access

Peer-reviewed

Research Article

The effects of exercise training on circulating adhesion molecules in adults: A systematic review and meta-analysis

  • Mousa Khalafi ,

    Contributed equally to this work with: Mousa Khalafi, Michael E. Symonds, Mohammad Hossein Sakhaei, Faeghe Ghasemi

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – review & editing

    Affiliation Department of Physical Education and Sport Sciences, Faculty of Humanities, University of Kashan, Kashan, Iran

    ⨯
  • Michael E. Symonds ,

    Contributed equally to this work with: Mousa Khalafi, Michael E. Symonds, Mohammad Hossein Sakhaei, Faeghe Ghasemi

    Roles Conceptualization, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    michael.symonds@nottingham.ac.uk (MES); sakhaei_phe@yahoo.com (MHS)

    Affiliation Centre for Perinatal Research, Academic Unit of Population and Lifespan Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom

    ⨯
  • Mohammad Hossein Sakhaei ,

    Contributed equally to this work with: Mousa Khalafi, Michael E. Symonds, Mohammad Hossein Sakhaei, Faeghe Ghasemi

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

    michael.symonds@nottingham.ac.uk (MES); sakhaei_phe@yahoo.com (MHS)

    Affiliation Department of Exercise Physiology, Faculty of Sport Sciences, University of Guilan, Guilan, Iran

    ⨯
  • Faeghe Ghasemi

    Contributed equally to this work with: Mousa Khalafi, Michael E. Symonds, Mohammad Hossein Sakhaei, Faeghe Ghasemi

    Roles Conceptualization, Data curation, Investigation, Methodology, Validation

    Affiliation Department of Exercise Physiology, Faculty of Sport Sciences, University of Guilan, Guilan, Iran

    ⨯

Abstract

Introduction

The current meta-analysis investigated the effects of exercise training on circulating adhesion molecules i.e. soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular cell adhesion molecule-1 (sVCAM-1) in adults.

Method

PubMed, Web of Science, Scopus and Embase were searched to identify original articles, published in English languages journal from inception up to 31 August 2023 that compared the effects of exercise training with non-exercising control on sICAM-1 and sVCAM-1 in adults. Standardized mean differences (SMDs) and 95% CIs were calculated using random-effect models.

Results

Twenty-three studies including 31 intervention arms and involving 1437 subjects were included in the meta-analysis. Exercise training effectively reduced sICAM-1 [SMD: -0.33 (95% CI -0.56 to -0.11), p = 0.004; I2 = 56.38%, p = 0.001; 23 intervention arms]. Subgroup analyses showed that sICAM-1 decreased in adults with age <60 years (p = 0.01) and BMI ≥ 27 kg/m2 (p = 0.002) and those with metabolic disorders (p = 0.004) and cardiovascular diseases (p = 0.005). In addition, aerobic (p = 0.02) and resistance training (p = 0.007) are effective in reducing sICAM-1. However, exercise training did not indicate a superior effect on sVCAM-1 [SMD: -0.12 (95% CI -0.29 to 0.05), p = 0.17; I2 = 36.29%, p = 0.04; 23 intervention arms].

Conclusion

Our results show that exercise training reduces sICAM-1, but not for sVCAM-1, where both aerobic and resistance training is effective in reducing sICAM-1 in adults with metabolic disorders and cardiovascular diseases.

Trial registration

The current meta-analysis was registered at www.crd.york.ac.uk/prospero with ID registration number: CRD42023410474.

Citation: Khalafi M, Symonds ME, Sakhaei MH, Ghasemi F (2023) The effects of exercise training on circulating adhesion molecules in adults: A systematic review and meta-analysis. PLoS ONE 18(10): e0292734. https://doi.org/10.1371/journal.pone.0292734

Editor: Ricardo Ney Oliveira Cobucci, UFRN: Universidade Federal do Rio Grande do Norte, BRAZIL

Received: July 27, 2023; Accepted: September 27, 2023; Published: October 13, 2023

Copyright: © 2023 Khalafi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: The author(s) received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Cardiovascular diseases (CVDs) are recognized as the most common cause of mortality internationally [1] with atherosclerosis is one of the severe CVD dysfunction [2]. Atherosclerosis is considered to be a common progressive disease characterized by chronic inflammation and endothelial dysfunction [3]. Circulating inflammatory markers such as interleukin-6 (IL-6) and C-reactive protein (CRP) are closely related with endothelial dysfunction and atherosclerosis [4, 5]. Elevated inflammatory responses can activate the expression of cell adhesion molecules including soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular cell adhesion molecule-1 (sVCAM-1) [6, 7]. Adhesion molecules are expressed on leukocytes and endothelium [8] with increased activation of these biomarkers reflecting endothelial activation or damage [7]. Elevated concentrations of sVCAM-1 and sICAM-1 are associated with enhancement of the action of chemokines, which promotes heart disease and arteriosclerosis. In addition, there is evidence that other risk factors, such as obesity and metabolic disorders, are associated with elevated serum adhesion molecules [9, 10]. Arteriosclerosis adhesion molecules are considered a significant risk factor for later cardiometabolic diseases, therefore therapeutic and preventive strategies should have a high priority for identifying subjects with cardiovascular and metabolic risk factors.

Exercise training is an effective non-pharmacological intervention for the prevention and treatment of metabolic and cardiovascular diseases. It can impact on vascular function, visceral fat mass, lipid profiles, inflammatory markers, and glycemia [11–13]. Studies on reducing arteriosclerosis adhesion molecules through exercise training were examined in a 2020 meta-analysis that included patients with coronary artery disease [14]. In addition, a 2014 meta-analysis that included randomized and non-randomized trials, indicated the aerobic exercise decreased the concentration of adhesion molecules [2]. However, the influence of exercise type (resistance, aerobic, and combined), health status (free of diseases vs. with cardiovascular diseases or vs. metabolic disorders) and body mass index (BMI) has not been investigated. Therefore, the current systematic review and meta-analysis investigated the effect of exercise training on sVCAM-1 and sICAM-1 compared with controls. In addition, we undertook subgroup analyses to investigate whether the health status (metabolic disorders, cardiovascular diseases, and free of cardiometabolic diseases), age, BMI, and type of exercise training (aerobic, resistance, or combined) further influenced sVCAM-1 and sICAM-1.

Methods

Trial registration

The current meta-analysis was registered (PROSPERO ID registration number: CRD42023410474), and was conducted according to the PRISMA guidelines and the Cochrane Handbook of Systematic Reviews of Interventions.

Search strategy

An electronic search was conducted in PubMed, Scopus, Web of Science and Embase databases to identify original articles, published until 31 August 2023 using following key words ("exercise" OR "physical activity" OR "exercise training" OR "aerobic training" OR "resistance training" OR "interval training" OR "High-intensity interval training" OR "concurrent training" OR "combined training"))) AND ("inter cellular adhesion molecule*" OR "intercellular adhesion molecule*" OR "ICAM" OR "cell adhesion molecule" OR "CAM" OR "ICAM-1" OR "VCAM-1"). The search was limited to human studies, the English language, and original articles. In addition, the references list of selected studies and Google Scholar were manually searched to ensure that all relevant studies were included in the meta-analysis. In choosing these keywords related to exercise interventions, and adhesion molecules, previous literature was investigated. For linking terms "AND", "OR" operators were used to link synonyms. The search and screening steps were performed by two independent (M Kh and F Gh) researchers. The search strategy is summarized in S1 Table.

Eligibility criteria and study selection

The criteria for inclusion and exclusion were based on the PIOCS approach which is summarized in Table 1. Our main outcomes were sVCAM-1 and sICAM-1, with independent variables being any type of exercise training including aerobic, resistance, interval and combined training. Additionally, only English language original articles were included with non-original studies, unpublished studies and conference abstracts excluded. All retrieved studies from all databases were exported to Endnote (version 20.2.1) in order to manage and conduct the systematic study selection process. After removing duplicated studies, first step screenings were performed based on abstract, title and keywords against inclusion and exclusion criteria. Subsequently, in the second screening, full-texts were read for all remaining studies to determine their eligibility. All screenings were performed and completed by two independents reviewer (M H S and F G) and any disagreements were resolved by discussion with other reviewers.

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Table 1. Inclusion and exclusion criteria based on PIOCS.

https://doi.org/10.1371/journal.pone.0292734.t001

Data extraction and synthesis

Two authors (F Gh and M H S) independently extracted data, and included (1) characteristics of the participants, including sample size, age, BMI, and sex; (2) exercise intervention characteristics, including duration, type, and intensity; (3) outcome variables including circulating ICAM-1 and/or VCAM-1; (4) pre- and post-intervention means, and SDs or mean changes (post values minus pre values) and their SDs. When required, mean and SDs were calculated from medians, ranges, SEs, and/or IQRs. In addition, when required, the Getdata Graph Digitizer software was used to extract means and SDs or mean changes from figures. For studies that included two or more arms of exercise intervention, all were included. Nevertheless, as per the Cochrane guidelines, the number of subjects in the control group was divided.

Quality assessment and sensitivity analyses

Risk of bias was assessed using the Cochrane risk of bias assessment tool within randomized control trials by one reviewer (F Gh) and verified by another (M H S). This tool consists of 7 items: sequence generation, allocation concealment, blinding of participants personnel, blinding of outcomes assessment, incomplete outcomes data, selective outcome reporting and other bias (S2 Table). In addition, to evaluate of the overall quality of the evidence, the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) was used (S3 Table) [15]. GRADE analysis assesses inconsistency, indirectness, impression, risks of bias and other factor at the, in as similar manner to previous reviews [16]. Based on GRADE criteria, the estimated effect of outcomes was very low, low, moderate and high quality [15]. Sensitivity analyses were performed by removing each study individually to determine whether the results were dependent on a single study or not.

Statistical analyses

To investigate the effects of exercise interventions on sVCAM-1 and sICAM-1, standardized mean differences (SMD) and 95% Cis were calculated using random-effects models. The mean change or pre- and post-intervention scores, and their sample sizes and SDs were used to determine SMD and 95% CIs for each analysis. Since the sVCAM-1 and sICAM-1 values were reported using different units, it was necessary to use SMD. Random-effects models were used because heterogeneity was expected, given methodological and clinical variability, and may have affected the results [17]. Sub-group analyses were performed based on mean BMI (BMI <27 kg/m2 vs. BMI ≥ 27 kg/m2), health status (metabolic disorders, cardiovascular diseases, and free of cardiometabolic diseases), mean age (age <60 years vs. age ≥ 60 years), and training type (aerobic, resistance, and combined training). Heterogeneity was assessed using the I2 statistic, which interprets I2 according to the Cochrane guidelines as follows: 25%, 50%, and 75% indicate low, moderate, and high heterogeneity, respectively. Additionally, publication bias was assessed using visual interpretation of funnel plots with Egger’s tests. Significance for effect size and heterogeneity was considered at p<0.05, and for Egger’s tests at p<0.1.

Results

Search results

Our initial search strategy revealed 1239 records from PubMed, 1696 records from Scopus, 892 records from Web of Science and 1024 records from Embase. After removing duplicates and screening titles and abstracts, 78 articles were identified for full-paper analysis based on inclusion/exclusion criteria. Finally, 55 studies were excluded, and 23 studies involving 31 intervention arms met all eligibility criteria. They were included in the meta-analysis, of which four studies assessed sICAM-1 [18–21], seven studies assessed sVCAM-1 [22–28], and 12 studies assessed sICAM-1and sVCAM-1 [3, 8, 7, 29–37] (Fig 1).

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Fig 1. Flow diagram of systematic literature search.

https://doi.org/10.1371/journal.pone.0292734.g001

Participant characteristics

A total of 1437 adults were included, with the range of sample sizes being 26 [26] to 140 [8]. The mean age of participants varied from 24 [22] to 70 years [23], and the mean BMI of participants was 22 [26] to 34 kg/m2 [22]. Four studies included only males [20, 25, 29, 37], and six only females [19, 22, 26, 30, 32, 33], whereas 13 included females and males [3, 8, 7, 18, 21, 23, 24, 27, 28, 31, 34–36, 38]. In the meta-analysis, participants had a wide range of health and chronic diseases, including myocardial infarction, type 2 diabetes, percutaneous coronary intervention, syndrome X, coronary artery disease, chronic heart failure, colon cancer survivors, obesity, hypertension, and peripheral artery disease with intermittent claudication (Table 2). In addition, in subgroup analyses, type 2 diabetes, syndrome X, hypertension, and obesity were included together as metabolic disorders [3, 8, 20, 22, 25, 30, 32,], and myocardial infarction, peripheral artery disease with intermittent claudication, coronary artery disease, and chronic heart failure were included as CVD [7, 18, 24, 27, 28, 31, 35, 37]. If participants had no chronic disorders, they were included as free of CVD [19, 21, 23, 26, 29, 33]. Also, one study included both participants with type 2 diabetes and coronary artery disease [34], and another study included participants with colon cancer [36], which were not included in the subgroup analysis.

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Table 2. Summary of demographic characteristics of participants and interventions included in study.

https://doi.org/10.1371/journal.pone.0292734.t002

Intervention characteristics

The intervention characteristics are presented in Table 2, and studies were included that, compared the effects of exercise training compared with a control group. Intervention duration ranged from two weeks [18] to twelve months [32, 34], whereas the frequency of exercise sessions ranged from two [37] to twelve sessions [18] per week. For exercise training interventions, aerobic training [3, 7, 18, 21, 24, 25, 27, 29, 31, 33, 35–37], resistance training [23, 30, 32], and combined training [8, 22, 26, 34] were the most common. Moreover, in other studies, aerobic, resistance, and combined training [19], aerobic, and resistance training [20, 28] were used as separate exercise arms.

Meta-analysis

sICAM-1.

Based on 23 intervention arms from 16 studies, exercise training decreases sICAM-1 [SMD: -0.33 (95% CI -0.56 to -0.11), p = 0.004] (Fig 2). There was significant heterogeneity amongst studies (I2 = 56.38%, p = 0.001). Both visual interpretation of funnel plots and Egger’s test results (p = 0.001) suggested publication bias. The trim and fill method identified seven missing studies from the right side of the plots [SMD: -0.11 (95% CI -0.35 to 0.11)]. Subgroup analyses showed that sICAM-1 decreased in adults <60 years (SMD: -0.36, p = 0.01), and participants with BMI ≥ 27 kg/m2 (SMD: -0.68, p = 0.002), and aerobic training (SMD: -0.31, p = 0.02), and resistance training (SMD: -0.80, p = 0.007). For health status, sICAM-1 decreased in participants with metabolic disorders (SMD: -0.59, p = 0.004), and cardiovascular diseases (SMD: -0.39, p = 0.005).

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Fig 2. Forest plot of the effects of exercise training versus control on sICAM-1.

Data are reported as SMD (95% confidence limits). SMD: standardized mean difference.

https://doi.org/10.1371/journal.pone.0292734.g002

sVCAM-1.

Based on 23 intervention arms from 19 studies, exercise training showed no significant decrease in sVCAM-1 [SMD: -0.12 (95% CI -0.29 to 0.05), p = 0.17] when compared with controls (Fig 3). There was significant heterogeneity amongst included studies (I2 = 36.29%, p = 0.04). Both visual interpretation of funnel plots and Egger’s test results (p = 0.005) suggested publication bias. The trim and fill method identified eight missing studies from the right side of the plots [SMD: 0.09 (95% CI -0.09 to 0.29)].

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Fig 3. Forest plot of the effects of resistance training versus control on sVCAM-1.

Data are reported as SMD (95% confidence limits). SMD: standardized mean difference.

https://doi.org/10.1371/journal.pone.0292734.g003

Quality assessment and sensitivity of analyses.

The methodological quality of individual studies is provided in S2 Table. In addition, based on GRADE criteria, the effect estimates for sICAM-1 and sVCAM-1 were categorized as high and low quality, respectively (S3 Table). Sensitivity analysis showed that omitting individual studies did not change the direction or significance of the results.

Discussion

Our meta-analysis suggests that exercise training reduces sICAM-1, but not for sVCAM-1, and sICAM-1 was lowered following resistance and aerobic training. In addition, sICAM-1 decreased in individuals with both metabolic disorders and cardiovascular diseases, individuals with obesity, as well as in middle-aged adults.

The importance of exercise training on sICAM-1 is emphasized by its role in cancer, immune syndromes, CVD, and chronic inflammation [39, 40]. Systematic review studies have suggested that exercise training is effective for reducing sICAM-1 [2] and is practical for nonsignificant reducing sICAM-1 in individuals with coronary artery disease [14]. However, some included studies used exercise program alongside a comprehensive cardiac rehabilitation intervention, which limits imputing these results to an absolute effect of exercise [14]. In addition, in a 2018 systematic review, has not been positive effect of exercise interventions on sICAM-1 reduction in heart failure patients [41]. The potential mechanisms underlying the decrease in sICAM-1 may be explained by greater nitric oxide bioavailability, and improving endothelial function [42, 43].

However, the type of exercise may play an important role in decreasing sICAM-1. When investigating subgroup analyses, we found that aerobic and resistance interventions, relative to combined intervention, are effective for reducing sICAM-1. Aerobic interventions lead to an increase in blood flow and shear stress, followed by enhanced nitric oxide bioavailability [12, 44]. A combination of aerobic, and resistance training can improve body composition and lipid profile, which may enable reduced adhesion molecules and improved endothelial function [45–49]. More importantly, inflammatory stimuli are the main stimulus for adhesion molecules on vascular endothelium and circulating leukocytes [50]. Exercise may enhance the number of vascular endothelial progenitor cells [51, 52], thus improving the regeneration of endothelial cells after vascular injury and reduce chronic inflammation [53]. Accordingly, aerobic training can reduce sICAM-1 through the improvement of inflammatory factors, that may explain why our subgroup analysis by health status, (metabolic disorders, with and without CVD), showed that disease was accompanied with reduced sICAM-1.

In addition, we showed the effectiveness of exercise training on reducing sICAM-1 in subjects with high BMI which may be related to higher levels of adhesion molecules [53–56]. In this regard, Ribeiro suggested that a positive effect of exercise is more apparent when the baseline levels of inflammatory markers and cytokines are higher [31]. Thus, it is likely that sICAM-1 reduction rate in response to exercise interventions is directly related to the basal levels of these molecules. Although, our results align with the aforementioned hypothesis, additional studies are needed.

The current meta-analysis failed to find a significant reduction in sVCAM-1 which is disagree with the previous systematic reviews [2, 57]. However, our results agree with several systematic reviews that exercise training failed to provide strong evidence for reducing sVCAM-1 in patients with heart failure [41] coronary artery disease [14]. It seems that exercise intensity paly important role in reducing sVCAM-1. High-intensity training is related to a larger reduction of sVCAM-1, as compared with moderate training intensity [10]. However, only two of our studies [24, 33] used a high-intensity exercise intervention, and most studies used moderate-intensity exercise. Further studies are still needed to clear the effect of exercise intensity on reducing sVCAM-1.

The study had several imitations that should be considered when interpreting our results. There was significant heterogeneities amongst studies that based on our subgroup analyses are probably due to health status and ages of participants and type of exercise intervention. Although, other components, such as duration and intensity of exercise and sample size may also contribute. We observed a significant publication bias for several of the analyses that were corrected for, using the trim-and-fill correction method. In addition, the quality of included studies was demonstrated with high risk of bias and sVCAM-1 classified as low quality rating identified through GRADE analysis due to it being an indirect outcome with a high risks of bias.

Conclusion

Despite the lack of effect on sVCAM-1, exercise training appears to be an effective intervention for reducing sICAM-1 in adults. However, health status, age and BMI of participants may be important moderators where such an adaptation could be enhanced in those who are obese and middle-aged, as well as suffering from metabolic disorders and cardiovascular diseases.

Supporting information

S1 Checklist. PRISMA 2020 checklist.

https://doi.org/10.1371/journal.pone.0292734.s001

(DOCX)

S1 Table. Search strategy.

https://doi.org/10.1371/journal.pone.0292734.s002

(DOCX)

S2 Table. Risk of bias assessment.

https://doi.org/10.1371/journal.pone.0292734.s003

(DOCX)

S3 Table. GRADE analysis of the overall quality of the evidence.

https://doi.org/10.1371/journal.pone.0292734.s004

(DOCX)

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