| Literature DB >> 36090222 |
Sushmitha Duddu1, Mohan Agrawal2, Rituparna Chakrabarti1, Anuran Ghosh1, Nishant Chakravorty1, Ashutosh Tiwari3, Praphulla Chandra Shukla1.
Abstract
Background: Proinflammatory cytokine cascades play crucial roles in the onset and progression of myocardial ischemia and infarction. Clinically, elevated serum levels of pro-inflammatory cytokine interleukin-6 is a poor prognostic indicator for future cardiac events and cardiac morbidity. Despite several reports, there is no clear evidence of cardiac benefits of inhibiting IL-6 in pre-clinical and clinical settings. Objective: To analyze the available data systematically and perform a meta-analysis to show the evidence of effects of IL-6 inhibition on cardiac remodeling and mortality in ischemic animal models.Entities:
Keywords: C-reactive protein; Ejection fraction; IL-6 receptor; Infarct size; Interleukin -6 inhibition; Ischemic murine model; Mortality; Tocilizumab
Year: 2022 PMID: 36090222 PMCID: PMC9449900 DOI: 10.1016/j.heliyon.2022.e10435
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Figure 1A PRISMA flow diagram of selected studies.
Characteristics of included experimental studies (LAD- Left anterior descending coronary artery; KO- Knockout; AAR- Area at risk, CSA- Cross-sectional area; WT- Wildtype; IV- Intravenous, IP- Intraperitoneally).
| Studies | Animal model | Age (wks) | weight | MI Surgical procedure | Duration of MI | Dosage/Method of administration | Outcome measures |
|---|---|---|---|---|---|---|---|
| Jing et al. 2019 [ | IL-6 KO Mice | 12–16 | - | LAD | 28 days | Survival rate, echocardiographic outcomes, Fibrosis | |
| Fuchs et al.2003 [ | IL-6 KO Mice | 11–14 | 25–30g | LAD | 6 weeks | Survival rate, infarct size, AAR, myocyte CSA, echocardiography measurements | |
| Tang et al.2018 [ | IL-6 KO Mice | - | Neonatal mice | apical resection | 4 weeks | Echocardiographic measurements, fibrosis | |
| Muller et al.2014 [ | WT Mice | 16-18 | - | LAD | 72h and 3 weeks for ventricular function, 24h for infarct size and AAR | Anti-IL6 Ab (250ug/mouse)/IP dosage | Survival rate, infarct size, myocyte CSA, echocardiographic measurement |
| Jong et al.2016 [ | IL-6 KO Mice | 8–10 | - | surgical ischemia in closed-chest | 1h ischemia and 0,1/2, 3 and 24h reperfusion | Infarct size, AAR and Fibrosis | |
| Bonda et al.2014 [ | IL-6 KO Mice | 12-14 | - | LAD | 8 weeks | Echocardiographic measurements | |
| Dawn et al.2004 [ | IL-6 KO Mice | 12–26 | 25–35g | coronary occlusion | 30-min coronary occlusion followed by 24 h of reperfusion | Infarct size and AAR | |
| Hartman et al.2016 [ | WT Mice | 8 | 26–29 g | LAD | 28 Days | Anti-IL-6R Ab∗ (MR16-1 2mg/mouse)/IV dosage | Infarct size, AAR, Fibrosis, hemodynamic measurements |
| Kobara et al.2010 [ | WT Mice | 8–12 | 25–30g | LAD | 7 Days and 28 Days after surgery | Anti-IL-6R Ab# (MR16-1 500ug/body)/IP dosage | Survival rate, infarct size, AAR, Fibrosis, myocyte CSA, echocardiography measurements |
| Kaminski et al.2009 [ | IL-6 KO Mice | 12–16 | 27–29g | LAD | 30 min of regional reversible myocardial ischemia | Infarct size and AAR | |
| Hilfiker-Kleiner et al.2010 [ | gp130 KO mice | 12-16 | - | LAD | 2 weeks | Echocardiographic measurements, Myocyte CSA | |
| George et al.2021 [ | Male Sprague-Dawley rats | 7-8 | 200–250g | LAD for 50min | 50 min of ischemia, followed by reperfusion | Anti–IL-6-Ab (0.1 μg/mg)/IP sgp130Fc (0.5 μg/mg)/IV | Infarct size, AAR, cardiac magnetic resonance imaging |
(∗ indicates MR16-1 dosage (anti-mice IL-6R antibody) of 2mg/mouse intravenously; # represents MR16-1 dosage (rat anti-mouse IL-6R monoclonal antibody) of 500ug/body intraperitoneally).
Figure 2Risk of bias summary graph reporting average of study qualities of the included studies. The Y-axis of the graph indicates the risk of bias and the X-axis shows study percentages.
Risk of Bias summary table (✓ = yes, ✗ = No, UC = unclear).
| Study | Selection bias | Performance bias | Detection bias | Total Score (Max 9) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Randomization | Baseline characteristics | Allocation concealment | Random housing | Blinding | Random outcome assessment | Attrition bias | Reporting bias | Compliance with animal welfare regulation | ||
| Jing et al.2019 [ | ✓ | ✓ | ✓ | UC | ✗ | UC | UC | UC | ✓ | 4 |
| Fuchs et al.2003 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✗ | UC | ✓ | 2 |
| Tang et al.2018 [ | ✗ | UC | UC | UC | ✗ | UC | ✓ | UC | ✓ | 2 |
| Muller et al.2014 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✗ | UC | ✓ | 2 |
| Jong et al.2016 [ | UC | ✓ | UC | UC | ✗ | UC | UC | UC | ✓ | 3 |
| Bonda et al.2014 [ | UC | ✓ | UC | UC | ✗ | UC | ✓ | UC | ✓ | 3 |
| Dawn et al. 2004 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✓ | UC | ✓ | 3 |
| Hartman et al.2016 [ | ✗ | ✓ | UC | UC | ✓ | ✓ | ✓ | UC | ✓ | 4 |
| Kobara et al.2010 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✓ | UC | ✓ | 3 |
| Kaminski et al.2009 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✓ | UC | ✓ | 3 |
| Hilfiker-Kleiner et al.2010 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✓ | UC | ✓ | 3 |
| George et al.2021 [ | ✗ | ✓ | UC | UC | ✗ | UC | ✗ | UC | ✓ | 2 |
Figure 3Quality of included randomized controlled trials. “+”, “-”, “?”, indicates low risk, high risk and unclear risk of bias.
Characteristics of included clinical trials (TCZ- Tocilizumab; STEMI- ST-segment elevation myocardial infarction; NSTEMI- Non ST-segment elevation myocardial infarction; M:F- Male: Female Ratio, hs-CRP- high sensitivity C-reactive protein, TnT- Cardiac Troponin-T).
| Trial | Source | Gender (M:F) | Age, y mean (SD) or median (range) | Patients | Population | Drug dose | Duration | Outcome measures | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Placebo | TCZ | Placebo | TCZ | |||||||
| NCT01491074 | Kleveland et al. 2016 [ | 19:1 | 10:1 | 60.1 ± 9.9 | 59.8 ± 7.7 | NSTEMI | 117 | 280mg of TCZ/intravenously | 6 months | hs-CRP, hs-TnT, IL-6 levels, Serious adverse effects, Neutrophil count, cardiac function and Heart failure |
| NCT02419937 | Carroll et al. 2017 [ | 14:2 | 10:2 | 67.7 ± 9.5 | 70.7 ± 10 | STEMI and NSTEMI | 28 | 162mg of TCZ/subcutaneously | 30 days | Major adverse cardiac events, CRP levels |
| NCT01491074 | Ueland et al. 2018 [ | 19:1 | 10:1 | 60.1 ± 9.9 | 59.8 ± 7.7 | NSTEMI | 117 | 280mg of TCZ/intravenously | 6 months | Seum Lp(a) measurements |
| NCT01491074 | Orrem et al. 2018 [ | 19:1 | 10:1 | 60.1 ± 9.9 | 59.8 ± 7.7 | NSTEMI | 117 | 280mg of TCZ/intravenously | 6 months | Expression of anaphylatoxin receptor, PBMC count |
| NCT01491074 | Kleveland et al. 2018 [ | 19:1 | 10:1 | 60.1 ± 9.9 | 59.8 ± 7.7 | NSTEMI | 117 | 280mg of TCZ/intravenously | 6 months | Plasma levels of interferon gamma-inducible protein (IP-10) and macrophage inflammatory protein-1β |
| NCT01491074 | Holte et al. 2016 [ | 0 female | 32:1 | 59.3 ± 9.5 | 57.8 ± 6.1 | NSTEMI | 42 | 280mg of TCZ/intravenously | 6 months | Coronary flow reserve measurements |
| NCT03004703 | Broch et al.2021 [ | 4:1 | 62 ± 10 | 60 ± 9 | STEMI | 200 | 280mg of TCZ/intravenously | 6 months | Myocardial salvage index measured by cardiac MRI (CMR), include final infarct size measured by CMR and hs-CRP, hs-TnT levels. | |
Figure 4Quantitative analysis of studies estimating the effects of IL-6 inhibition on CRP and Tnt levels and adverse effects: Forest plot of studies measuring (A.) CRP levels and (B.) Forest plot of studies assessing Tnt levels using random-effect model (SMD, 95% CI) (C.) Adverse events in patients with MI using random-effect model (logs Risk ratio, 95% CI). The plot shows individual and pooled SMD along with the relative weight of each study.
Figure 5Quantitative analysis of studies evaluating the effects of IL-6 inhibition on the mortality rate: Forest Plot of studies investigating mortality rate using random-effect model (logs Risk ratio, 95% CI). The plot shows pooled and individual risk ratio of each study.
Figure 6Quantitative analysis of studies estimating the effects of IL-6 inhibition on infarct size and area at risk: Forest plot of studies measuring (A.) infarct size and (B.) Forest plot of studies assessing the area at risk using random-effect model (SMD, 95% CI). The plot shows individual and pooled SMD along with the relative weight of each study.
The effect size of secondary outcomes included in the review.
| Outcome/Subgroup | No. of studies | No. of animals | Effect Estimate | p value | Heterogeneity, I2 (p value) |
|---|---|---|---|---|---|
| Fibrosis | 4 | 97 | -0.17 [-1.47, 1.14] | 0.80 | 87.81% (p < 0.00) |
| Cardiomyocyte CSA (mm) | 4 | 93 | -1.10 [-2.24, 0.03] | 0.06 | 81.80% (p < 0.00) |
| Heart rate | 4 | 113 | -0.69 [-1.42,0.03] | 0.06 | 70.56% (p = 0.001) |
| IL-6 levels | 6 | 149 | 5.66 [3.25, -8.06] | 0.001 | 93.46% (p = 0.00) |
| dP/dT max (mmHg/sec) | 3 | 35 | -0.61 [-1.76, 0.53] | 0.29 | 66.99% (p = 0.05) |
| dP/dt min (mmHg/sec) | 3 | 35 | 0.84 [0.19, 1.50] | 0.01 | 2.24% (p = 0.36) |
Figure 7Quantitative analysis of studies determining the overall effect of IL-6 inhibition on cardiac function (A.) Forest plots of studies estimating ejection fraction and (B.) Forest plot of studies estimating fraction shortening using random-effect model (SMD, 95% CI). The plot shows combined and individual SMD along with the relative weight of each study.
Figure 8Quantitative analysis of studies determining the overall effect of IL-6 inhibition on left ventricular diastolic and systolic diameter: Forest plot of studies measuring (A) LVEDD in millimeter (LV-end diastolic Diameter) and relative volume units (LV- diastolic volume) and (B) LVESD in millimeter (LV-end diastolic Diameter) and relative volume units (LV- diastolic volume) using the random-effect model and relative weight of respective studies.
Figure 9Quantitative analysis of studies estimating the effect of IL-6 inhibition on neutrophil cell count: Forest of plot studies measuring neutrophil cells in control and ischemic murine model using study random effect model (SMD, 95% CI). The diamond in the plot indicates the overall SMD change and heterogeneity values.
Figure 10Publication bias assessment: Funnel plot of included studies (A.) Egger's regression of infarct size and (B.) Egger's regression of Ejection fraction.
Figure 11Meta-regression of included studies: Meta-regression of infarct area to duration of ischemia (hrs.) post-surgery.
Meta-regression analysis of infarct size to duration of ischemia.
| Meta estimate | coefficient | Std. Error | z | p> ǀzǀ | 95% CI |
|---|---|---|---|---|---|
| Duration of ischemia (hrs) | 0.0027103 | 0.0014291 | 1.90 | 0.058 | 0.005, 0.4091 |