Mid-Regional Proadrenomedullin as a New Biomarker of Kidney and Cardiovascular Diseases-Is It the Future?

Unlocking the potential of biomarkers: The promise of adrenomedullin and its precursors in diagnosing and assessing heart failure

BACKGROUND

Several studies have examined the potential of adrenomedullin (ADM), pro-adrenomedullin (Pro-ADM), and mid-regional-pro-ADM (MR-Pro-ADM) as biomarkers for diagnosing and assessing the severity of heart failure (HF), with conflicting results. We aimed to investigate their diagnostic utility and their correlation with HF severity based on the New York Heart Association (NYHA) classification.

METHODS

We searched PubMed, EMBASE, and Scopus using a predefined search string. The quality assessment of included studies was conducted using the Newcastle Ottawa Scale (NOS), and the primary outcome was the mean difference (MD) in serum levels of ADM, Pro-ADM, and MR-Pro-ADM, in addition to the area under the curve (AUC).

RESULTS

A total of 28 articles fulfilled our inclusion criteria and were included in our qualitative and quantitative synthesis, with a total of 15,405 subjects. Significant MD in ADM levels in HF patients vs. controls (6.024 [95 % CI 1.691, 10.356]), NYHA I vs. controls (-1.202 [95 % CI -2.111, -0.292]), NYHA IV vs. controls (-7.536 [95 % CI -12.680, -2.393]), NYHA III vs. NYHA IV (-4.438 [95 % CI -7.612, -1.263]), and NYHA I-II vs NYHA III-IV (-2.351 [95 % CI -4.361, -0.341]) were observed. Moreover, a significant MD was observed in pro-ADM levels in NYHA I-II patients vs. controls (-0.960 [95 % CI -1.479, -0.440]), NYHA III-IV vs. controls (-1.979 [95 % CI -2.958, -1.000]), and NYHA I-II vs. NYHA III-IV (-0.966 [95 % CI -1.407, -0.526]). Furthermore, MR-Pro-ADM levels were significantly different in NYHA I-II vs. NYHA III-IV (-0.428 [95 % CI -0.492, -0.365]). MR-Pro-ADM predicted HF with an AUC of 0.781 (95 % CI 0.755, 0.806).

CONCLUSIONS

Among HF patients, there was a significant increase in ADM levels compared to control subjects, and these levels increased with the progression of NYHA classes. Similarly, both Pro-ADM and MR-Pro-ADM displayed higher concentrations in NYHA class III-IV HF patients compared to those in NYHA class I-II. However, MR-Pro-ADM exhibited lower accuracy in predicting HF compared to established biomarkers.

New cardiovascular biomarkers in patients with advanced cancer - A prospective study comparing MR-proADM, MR-proANP, copeptin, high-sensitivity troponin T and NT-proBNP

AIMS

Traditional cardiovascular (CV) biomarkers (high-sensitivity troponinT [hsTnT] and N-terminal pro-B-type natriuretic peptide [NT-proBNP]) are important to monitor cancer patients' cardiac function and to assess prognosis. Newer CV biomarkers (mid-regional pro-adrenomedullin [MR-proADM], C-terminal pro-arginine vasopressin [copeptin], and mid-regional pro-atrial natriuretic peptide [MR-proANP]) might outperform traditional biomarkers.

METHODS AND RESULTS

Overall, 442 hospitalized cancer patients without significant CV disease or current infection were enrolled (61 ± 15 years, 52% male, advanced cancer stage: 85%) and concentrations of CV biomarkers were analysed. Differences in echocardiographic, clinical, laboratory parameters were assessed. Patients were followed for up to 69 months for all-cause mortality. In univariable analyses, MR-proADM, hsTnT, copeptin, MR-proANP, and NT-proBNP predicted all-cause mortality. In multivariable analyses (adjusted for sex, age, Eastern Cooperative Oncology Group performance status, estimated glomerular filtration rate [eGFR], C-reactive protein, anti-cancer therapy, reason for hospitalization, cancer stage and type), only MR-proADM remained an independent predictor of mortality (MR-proADM per 1 ln: hazard ratio [HR] 2.27, 95% confidence interval [CI] 1.47-3.50], p < 0.001). MR-proADM had the highest area under the curve (AUC) using receiver operating characteristic analysis (AUC [95% CI] 0.74 [0.69-0.79]; hsTnT: AUC 0.69; copeptin: AUC 0.66; MR-proANP: AUC 0.63; NT-proBNP: AUC 0.62). Optimal cut-point for mortality prediction with MR-proADM was 0.94 nmol/L (HR 2.43 [95% CI 1.92-3.06], p < 0.001). Patients with MR-proADM >0.94 nmol/L were older, more often had cancer stage IV, showed reduced performance status, eGFR, haemoglobin, diastolic left ventricular function, and elevated systolic pulmonary artery pressure.

CONCLUSION

MR-proADM is an independent predictor of mortality in advanced stage, hospitalized cancer patients without significant CV disease or current infection. The optimal MR-proADM cut-point for mortality prediction was 0.94 nmol/L with hazards for mortality being approximately 2.5 times higher. There was a continuous increase in mortality risk with stepwise increase of MR-proADM concentrations. Elevated concentrations of MR-proADM were also associated with reduced performance status and mildly reduced left ventricular diastolic function as well as higher age and more often cancer stage IV.

Sandwich immunoassay for adrenomedullin precursor and its practical application

Adrenomedullin (ADM) is a multifaceted peptide hormone involved in numerous physiological processes, including vascular stability, vasodilation, angiogenesis, and anti-inflammatory responses. The processing of ADM results in several fragments, including midregional proadrenomedullin (MR-proADM), and glycine-extended ADM (ADM-Gly) and bioactive ADM (bio-ADM). MR-proADM, the stable ADM fragment, and bio-ADM, the active form of ADM with a short half-life, have been shown to be potent biomarkers in a variety of pathologies. ADM-Gly, the direct precursor of bio-ADM, is a predominant form in human plasma, but remains less understood and least investigated. This study presents the development of a specific immunoluminometric assay for the quantification of ADM-Gly and offers a robust one-step approach for large-scale sample screening. Applied to human and rodent plasma, it elucidates the release kinetics and plasma half-life of ADM-Gly. Our findings confirm the predominance of ADM-Gly in healthy individuals and its significant release under pathological conditions. Our immunoluminometric assay enables precise measurement of ADM-Gly, advancing research into ADM-related pathophysiology and supporting its use as a biomarker and therapeutic target in various diseases.

Health-related quality of life and DNA methylation-based aging biomarkers among survivors of childhood cancer

BACKGROUND

Childhood cancer survivors are at high risk for morbidity and mortality and poor patient-reported outcomes, typically health-related quality of life (HRQOL). However, associations between DNA methylation-based aging biomarkers and HRQOL have not been evaluated.

METHODS

DNA methylation was generated with Infinium EPIC BeadChip on blood-derived DNA (median for age at blood draw = 34.5 years, range = 18.5-66.6 years), and HRQOL was assessed with age at survey (mean = 32.3 years, range = 18.4-64.5 years) from 2206 survivors in the St Jude Lifetime Cohort. DNA methylation-based aging biomarkers, including epigenetic age using multiple clocks (eg, GrimAge) and others (eg, DNAmB2M: beta-2-microglobulin; DNAmADM: adrenomedullin), were derived from the DNAm Age Calculator (https://dnamage.genetics.ucla.edu). HRQOL was assessed using the Medical Outcomes Study 36-Item Short-Form Health Survey to capture 8 domains and physical and mental component summaries. General linear models evaluated associations between HRQOL and epigenetic age acceleration (EAA; eg, EAA_GrimAge) or other age-adjusted DNA methylation-based biomarkers (eg, ageadj_DNAmB2M) after adjusting for age at blood draw, sex, cancer treatments, and DNA methylation-based surrogate for smoking pack-years. All P values were 2-sided.

RESULTS

Worse HRQOL was associated with greater EAA_GrimAge (physical component summaries: β = -0.18 years, 95% confidence interval [CI] = -0.251 to -0.11 years; P = 1.85 × 10-5; and 4 individual HRQOL domains), followed by ageadj_DNAmB2M (physical component summaries: β = -0.08 years, 95% CI = -0.124 to -0.037 years; P = .003; and 3 individual HRQOL domains) and ageadj_DNAmADM (physical component summaries: β = -0.082 years, 95% CI = -0.125 to -0.039 years; P = .002; and 2 HRQOL domains). EAA_Hannum (Hannum clock) was not associated with any HRQOL.

CONCLUSIONS

Overall and domain-specific measures of HRQOL are associated with DNA methylation measures of biological aging. Future longitudinal studies should test biological aging as a potential mechanism underlying the association between poor HRQOL and increased risk of clinically assessed adverse health outcomes.

On Whether Ca-125 Is the Answer for Diagnosing Overhydration, Particularly in End-Stage Kidney Disease Patients-A Systematic Review

Overhydration (OH) is a prevalent medical problem that occurs in patients with kidney failure, but a specific marker has still not been found. Patients requiring kidney replacement therapy suffer from a water imbalance, which is correlated with mortality rates in this population. Currently, clinicians employ techniques such as bioimpedance spectroscopy (BIS) and ultrasound (USG) markers of overhydration or markers of heart and kidney function, namely NT-pro-BNP, GFR, or creatinine levels. New serum markers, including but not limited to Ca-125, galectin-3 (Gal-3), adrenomedullin (AMD), and urocortin-2 (UCN-2), are presently under research and have displayed promising results. Ca-125, which is a protein mainly used in ovarian cancer diagnoses, holds great potential to become an OH marker. It is currently being investigated by cardiologists as it corresponds to the volume status in heart failure (HF) and ventricular hypertrophy, which are also associated with OH. The need to ascertain a more precise marker of overhydration is urgent mainly because physical examinations are exceptionally inaccurate. The signs and symptoms of overhydration, such as edema or a gradual increase in body mass, are not always present, notably in patients with chronic kidney disease. Metabolic disruptions and cachexia can give a false picture of the hydration status. This review paper summarizes the existing knowledge on the assessment of a patient's hydration status, focusing specifically on kidney diseases and the role of Ca-125.

Predicting Therapeutic Efficacy of Pharmacological Treatments in Children with Postural Orthostatic Tachycardia Syndrome: A Mini-Review

Postural orthostatic tachycardia syndrome (POTS) is common in children, with an excessive increment in heart rate when moving from the supine to upright position. It has significant negative impacts on the daily life of pediatric patients. The pathogenesis of POTS includes peripheral vascular dysfunction, central hypovolemia, abnormal autonomic function, a high-adrenergic state, impaired skeletal-muscle pump function, the abnormal release of vasoactive factors, and autoimmune abnormalities. Therefore, the empirical use of pharmacological treatments has limited therapeutic efficacy due to the diversity of its mechanisms. A crucial aspect of managing POTS is the selection of appropriate treatment targeting the specific pathogenesis. This review summarizes the commonly used pharmacological interventions, with a focus on their predictive indicators for treatment response. Factors such as heart rate variability, plasma biomarkers, and cardiac-function parameters are discussed as potential predictors of therapeutic efficacy, enabling the implementation of individualized treatment to improve therapeutic effectiveness. This review consolidates the current knowledge on POTS, encompassing its clinical characteristics, epidemiological patterns, underlying pathogenic mechanisms, and predictive indicators for treatment response. Further research is warranted to enhance the understanding of POTS and facilitate the development of more effective therapeutic approaches for this challenging syndrome.

Emerging biomarkers for the detection of cardiovascular diseases

Background

The prevalence of cardiovascular disease (CVD) has been continuously increasing, and this trend is projected to continue. CVD is rapidly becoming a significant public health issue. Every year there is a spike in hospital cases of CVD, a critical health concern in lower- and middle-income countries. Based on identification of novel biomarkers, it would be necessary to study and evaluate the diagnostic requirements or CVD to expedite early detection.

Main body

The literature review was written using a wide range of sources, such as well-known medical journals, electronic databases, manuscripts, texts, and other writings from the university library. After that, we analysed the specific markers of CVD and compiled a systematic review. A growing body of clinical research aims to identify people who are at risk for cardiovascular disease by looking for biomolecules. A small number of biomarkers have been shown to be useful and reliable in medicine. Biomarkers can be used for a variety of clinical applications, such as predicting heart disease risk, diagnosing disease, or predicting outcomes. As a result of the ability for a single molecule to act as a biomarker, its usefulness in medicine is expected to increase significantly.

Conclusions

Based on assessing the current trends in the application of CVD markers, we discussed and described the requirements for the application of CVD biomarkers in coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other cardiovascular illnesses. Furthermore, the current review focuses on biomarkers for CVD and the procedures that should be considered to establish the comprehensive nature of the expression of biomarkers for cardiovascular illness.

Left Ventricular Remodeling after Myocardial Infarction: From Physiopathology to Treatment

Myocardial infarction (MI) is the leading cause of death and morbidity worldwide, with an incidence relatively high in developed countries and rapidly growing in developing countries. The most common cause of MI is the rupture of an atherosclerotic plaque with subsequent thrombotic occlusion in the coronary circulation. This causes cardiomyocyte death and myocardial necrosis, with subsequent inflammation and fibrosis. Current therapies aim to restore coronary flow by thrombus dissolution with pharmaceutical treatment and/or intravascular stent implantation and to counteract neurohormonal activation. Despite these therapies, the injury caused by myocardial ischemia leads to left ventricular remodeling; this process involves changes in cardiac geometry, dimension and function and eventually progression to heart failure (HF). This review describes the pathophysiological mechanism that leads to cardiac remodeling and the therapeutic strategies with a role in slowing the progression of remodeling and improving cardiac structure and function.

Novel Biomarkers of Renal Dysfunction and Congestion in Heart Failure

Heart failure is a major public health problem and, despite the constantly emerging, new, effective treatments, it remains a leading cause of morbidity and mortality. Reliable tools for early diagnosis and risk stratification are crucial in the management of HF. This explains a growing interest in the development of new biomarkers related to various pathophysiological mechanisms of HF. In the course of this review, we focused on the markers of congestion and renal dysfunction in terms of their interference with cardiovascular homeostasis. Congestion is a hallmark feature of heart failure, contributing to symptoms, morbidity, and hospitalizations of patients with HF and has, therefore, become a therapeutic target in AHF. On the other hand, impaired renal function by altering the volume status contributes to the development and progression of HF and serves as a marker of an adverse clinical outcome. Early detection of congestion and an adequate assessment of renal status are essential for the prompt administration of patient-tailored therapy. This review provides an insight into recent advances in the field of HF biomarkers that could be potentially implemented in diagnosis and risk stratification of patients with HF.

Novel predictive role for mid-regional proadrenomedullin in moderate to severe aortic stenosis

OBJECTIVE

We investigated the prognostic significance of selected known and novel circulating biomarkers in aortic stenosis (AS).

METHODS

N-terminal pro-BNP (NT-proBNP), high-sensitivity troponin-T (hsTnT), growth differentiation factor-15 (GDF-15), suppression of tumorigenicity-2 (ST2), mid-regional proadrenomedullin (MR-proADM) and mid-regional proatrial natriuretic peptide (MR-proANP) were measured in patients with moderate to severe AS, New York Heart Association (NYHA) class I-II and left ventricular ejection fraction ≥50%, recruited consecutively across five centres from 2011 to 2018. Their ability to predict both primary (all-cause mortality, heart failure hospitalisation or progression to NYHA class III-IV) and secondary (additionally incorporating syncope and acute coronary syndrome) outcomes was determined by competing risk analyses.

RESULTS

Among 173 patients with AS (age 69±11 years, 55% male, peak transaortic velocity (Vmax) 4.0±0.8 m/s), the primary and secondary outcomes occurred in 59 (34%) and 66 (38%), respectively. With aortic valve replacement as a competing risk, the primary outcome was determined consistently by the comorbidity index and each selected biomarker except ST2 (p<0.05), independent of NYHA class, Vmax, LV-global longitudinal strain and serum creatinine. MR-proADM had the highest discriminative value for both primary (subdistribution HR (SHR) 11.3, 95% CI 3.9 to 32.7) and secondary outcomes (SHR 12.6, 95% CI 4.7 to 33.5). Prognostic assessment of dual-biomarker combinations identified MR-proADM plus either hsTnT or NT-proBNP as the best predictive model for both clinical outcomes. Paired biomarker models were not superior to those including MR-proADM as the sole circulating biomarker.

CONCLUSION

MR-proADM most powerfully portended worse prognosis and should be further assessed as possibly the biomarker of choice for risk stratification in AS.