Table 2.
Overview of principal studies on emerging novel exercise-related CVD biomarkers.
| Biomarker category | Study population and intervention | Key finding | Clinical implications | Limitations | Ref. |
|---|---|---|---|---|---|
| H-FABP | 47 patients (26 with >70% stenosis, 21 normal coronary anatomy), EST | From baseline to three hours after EST, H-FABP dropped (CAD: -2.79 ng/mL; control: -0.84 ng/mL). reduction linked to proteinuria brought on by exercise rather than heart injury. | Proteinuria is a confounding factor; a reduction in H-FABP during EST should not be mistaken for the lack of CAD. | Small sample (n=47); single center; no comparison with troponin; unexpected finding requires replication. | (Arı et al., 2011) |
| H-FABP, sST2 | 98 participants, 8 months of regular physical activity | After prolonged exercise, sST2 increased by 793 pg/mL (p=0.045), indicating adaptive vascular stress, whereas H-FABP decreased by 0.57 ng/mL (p<0.01), indicating better perfusion. | Frequent exercise improves indicators of subclinical ischemia; an increase in sST2 may indicate adaptive vascular remodeling. | No control group; single time point post-training; lack of imaging correlation; moderate sample size. | (Sponder et al., 2019) |
| cMyBP-C | 158 participants (75 men, 83 women), exercise stress echocardiography + 1–1.5 year follow-up | Before stress, HR 8.1 for significant occurrences (p=0.041) is the MyBP-C threshold (96% sensitivity). AUC 0.91, HR 13.8 (p=0.000472) for important events (death, MI, stroke, and PE). EF was normal for the majority of crucial occurrences (6/7). | Even in individuals with normal EF, cMyBP-C is a very sensitive screening biomarker for severe CVD. | Small sample (n=158); short follow-up (1–1.5y); no external validation; no CMR comparison. | (Tong et al., 2017) |
| cMyBP-C | 205 symptomatic HFrEF patients (SMARTEX post hoc analysis), 12 weeks HIIT or MCT vs. control | There was no discernible difference between the groups’ cMyBP-C alterations (Δ IG: -0.5 vs. CG: -0.7). There was a correlation between log cMyBP-C and log hs-cTnI (R = 0.52, 95% CI 0.37-0.66, P<0.001). | In HFrEF, cMyBP-C may indicate subclinical myocardial damage during ET. | Post hoc analysis; IG merged; no healthy control group; correlation moderate. | (Riveland et al., 2025) |
| miRNAs | 20 CAD patients (10 male, 10 female), maximal cycle ergospirometry | After exercise, 33 miRNAs were altered, with 16 exhibiting sex differences. The responses to nine miRNAs (let-7e-5p, miR-1, miR-19b-1-5p, etc.) varied statistically by sex. | Personalized risk classification in CAD may be made possible by sex-specific miRNA responses to exercise. | Very small sample (n=20); single exercise session; no validation cohort; no long-term outcomes. | (Mayr et al., 2021) |
| miRNAs | 20 sedentary individuals (HERITAGE Family Study), 20 weeks endurance training | Nine of the 14 c-miRNAs were downregulated, and five were upregulated. Target genes that are connected to more than 345 biological processes. | Widespread alterations in c-miRNA patterns associated with metabolic and cardiovascular pathways are produced by regular exercise. | Small sample (n=20); no control group; no correlation with clinical outcomes; descriptive only. | (Barber et al., 2019) |
| c-miRNAs | Healthy active runners, 10km, half-marathon, and marathon races | Exercise duration led to a dose-dependent increase in all cardiac biomarkers. After ten kilometers, five c-miRNAs were dysregulated, and after a marathon, nineteen. “Pseudo-disease” signatures were brought on by exercise. | Clinicians must identify exercise-induced pseudo-disease patterns, even if c-miRNAs may enhance the diagnostic utility of hs-cTnT/NT-proBNP. | Healthy subjects only; no pathological controls; single time point post-exercise; no follow-up. | (de Gonzalo-Calvo et al., 2018) |
| miR-15a-5p | ApoE-/- mice (high-fat diet) + moderate treadmill training, 12 weeks | In atherosclerotic aortas, exercise dramatically decreased miR-15a-5p. Through 3’-UTR targeting, miR-15a-5p inhibited Sema3A. Plaques were destabilized by VSMC-specific overexpression. Human carotid plaques are positively associated with plaque vulnerability. | A possible therapeutic target for plaque stabilization by AE is miR-15a-5p. | Animal model; little human validation (plaque samples only); no human exercise intervention. | (Hu et al., 2026) |
| Exosomal miRNAs | Review of exercise-induced EXO studies (HIIT, endurance training) | HIIT targets CTGF and lessens cardiac fibrosis by increasing circulating exosomal miR-133a (2-3×). Exosomal miRNAs control vascular flexibility, cardiac healing, and endothelial function. | Exosomal miRNAs are both promising precision diagnostic tools and mediators of EIC. | Review article; lack of clinical validation; inconsistent methods; absence of standardized tests. | (Yu et al., 2026) |
| Exosomal EVs + AI | Review of EV biomarker studies (AMI, HF) | AUCs of 0.80–0.92 are achieved for EV biomarker classification using AI ensemble techniques (Random Forest, gradient boosting). The majority of research lacks external validation and has small cohorts (n<50). | Although promising, AI-integrated EV analysis is still in the proof-of-concept stage; multicenter validation linked with MISEV is necessary for clinical adoption. | Exploratory studies only; small sample sizes, no comparisons with recognized biomarkers, and no standardized procedures. | (Dinc and Ardic, 2026) |
| LncRNA MALAT1 | Rat model of CHF (left anterior descending ligation), 8 weeks AE post-surgery | Exercise enhanced autophagy and decreased ROS, inflammatory cytokines, MMPs, and apoptosis. Exercise benefits were eliminated by MALAT1 overexpression. MALAT1 suppresses PI3K/Akt and downregulates miR-150-5p. | A possible therapeutic target, MALAT1, is a crucial modulator of EIC in CHF. | Animal model only; no human validation; only one lncRNA was examined; mechanistic rather than translational. | (Hu et al., 2021) |
| LncRNAs and CircRNAs | Review of ncRNAs in cardiac hypertrophy and CHF | Autophagy, apoptosis, and hypertrophy are regulated by Bvht, Mhrt, Chast, Chaer, Carmen, Fendrr, Apf, MALAT1, Chrf, Hrcr, Cdr1as, and circ-Amotl1. Important research gap: function in physiological hypertrophy or EIC. | Although ncRNAs offer therapeutic potential for CHF, little is known about how they contribute to exercise-mediated protection. | Review article; mostly preclinical; no evidence on human exercise; descriptive rather than mechanistic for EIC. | (Ma and Liao, 2019) |