The Utilization of Biomarkers in Stress-Related Diseases
Risna Agustina1,2, Ronny Lesmana3,4, Neily Zakiyah1,4, Siti Nuriyatus Zahrah5,
Ajeng Diantini1*, Helmi6
1Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran,
West Java, Indonesia.
2Department Clinical Pharmacy, Faculty of Pharmacy, Mulawarman University, Samarinda,
East Borneo, Indonesia.
3Physiology Division, Department of Biomedical Sciences, Faculty of Medicine,
Universitas Padjadjaran, West Java, Indonesia.
4Center of Excellence in Higher Education for Pharmaceutical Care Innovation,
Universitas Padjadjaran, West Java, Indonesia.
5Department of Public Health Science, Faculty of Public Health, Airlangga University, East Java, Indonesia.
6Department Pharmacology and Toxicology, Faculty of Pharmacy, Mulawarman University,
Samarinda, East Borneo, Indonesia.
*Corresponding Author E-mail: helmi@farmasi.unmul.ac.id, ajeng.diantini@unpad.ac.id, nuriyatuszahra@gmail.com
ABSTRACT:
Various internal and external factors negatively affect the homeostatic balance of the individual at the whole-body level and cause a state of stress. Stress affects the state of comfort and causes changes in energy consumption mechanisms to combat its effects. Individuals may be immunocompromised, susceptible to pathogens. Stress biomarkers play an important role in the prognosis of stress-related diseases and disorders, and therapy. In addition, different components have been identified as potent mediators of cardiovascular, central nervous system, hepatic, and nephrological disorders, which can also be used to evaluate these conditions precisely, but with strict validation and specificity. Considerable scientific progress has been made in the quantization and application of these biomarkers. This review describes current advances in biomarker identification, their prognostic and therapeutic value. Articles review were carried out using the scooping review method by identifying research publications that match the theme through an online search system. The result of this review is that 31 stress-related biomarkers have an important role in the prognosis of stress-related diseases and disorders, and have been identified as potent mediators of cardiovascular, central nervous system, hepatic, and nephrological disorders. From this review, it can be concluded that chronic stress can cause pathological responses in the body due to disruption of body homeostasis in the long term, resulting in changes in the value of physiological biomarkers of the body. The specific biomarkers that are affected then can be used as diagnostic or prognostic biomarkers.
KEYWORDS: Stress, Biomarker, Prognostic Biomarker, Diagnostic Biomarker.
INTRODUCTION:
Homeostasis is a self-regulatory process in which the system in the body maintains stability while adapting to changing external conditions1. It is important for every organism to maintain more or less constant internal conditions so as to enable it to adapt and survive in dealing with a changing, and sometimes, dangerous external environment1.
Stress occurs when homeostatic conditions are threatened2. Activation of the stress system causes behavioral and physical changes that will increase the individual's ability to adjust homeostasis and increase the chances of survival3.
However, stress is often considered to have undesirable effects by most people. Strategies to combat stress in humans often rely on early detection of stress-induced damage. Various indicators have been identified as strong markers of different biological processes, such as pathogenic or pharmacological responses, which are referred to as biomarkers4,5,6. These include normal physiological biomarkers that are within the normal range in healthy subjects. However, stress markers indicate that a person is not feeling physiologically comfortable and different energy consumption mechanisms operate in their body to maintain homeostasis7,8 involving multiple biomarkers. Therefore, biomarkers are characteristics that can be measured and evaluated objectively as indicators of physiological and pathological processes or pharmacological responses to therapeutic interventions9.
According to the FDA, the ideal biomarker should be specific for a particular disease and should be able to distinguish different physiological conditions, safe and easy to measure, quick so that the determination of the diagnosis becomes faster and able to provide accurate and consistent results in various ethnic groups and gender10.
MATERIALS AND METHODS:
Methodology:
In this literature review, the author used a scoping review approach. The sources of information used to find and identify various studies and meta-analyses published in English and related to the theme of this scoping review. the author used electronic/internet search with three databases used, namely Google scholar, Pubmed and Science direct from 2000 to 2022. Furthermore, the search for articles or journals used keywords and boolean operators (AND, OR NOT or AND NOT) to to make searching easier. The search strategy is defined as ―(stress)) OR (biomarker stress) AND (diagnostic biomarker) OR (stress-Related diseases)) AND (prognostic biomarker)". Publication (from 2000-2022) and Language (English and Indonesian). The inclusion criteria in this scoping review are biomarker stress-related diseases and original research in English published from 2000 to 2022. Therefore, based on the results of the selection, there were 86 publications retrieved from the database. Duplicate articles that did not meet the inclusion criteria were removed, bringing 62 articles. And I screened and assessed titles excluded from each study against the inclusion criteria, leaving 62 full-text articles eligible for scoping review.
Figure 1. Literature review flowchart
RESULT AND DISCUSSION:
Stress System:
The entire central nervous system (CNS) is directly or indirectly involved in maintaining and reorganizing the body's overall homeostasis. Certain areas of the brain have important roles and different functions in regulating the stress response2. Thus, the central components of the stress system are located in the hypothalamus and brainstem and include parvocellular corticotropin-releasing hormone (CRH) and arginine-vasopressin (AVP) neurons from the paraventricular nucleus (PVN) of the hypothalamus, and CRH neurons from the paragigantocellular and parabranchial nuclei of the hypothalamus. The medulla, as well as the locus coeruleus (LC) and other groups of catecholaminergic, norepinephrine (NE) synthesizing cells in the medulla and pons (central sympathetic nervous system)1-2,11. Peripheral paralysis of the hypothalamic-pituitary-adrenal (HPA) axis, together with the sympathetic / adrenomedullary efferent system, are peripheral components of this interconnected system11.
Biomarker Type:
According to their application, biomarkers can be classified into diagnostic, prognostic, and therapeutic biomarkers12. Diagnostic biomarkers are biomarkers that help in the diagnosis or determination of disease, prognostic biomarkers help in forecasting or possibly predict disease outcomes and therapeutic biomarkers help in monitoring the progress of disease treatment12. Another classification divides biomarkers into prognostic biomarkers, which help in knowing or predicting disease and can tell the likely outcome of disease in untreated individuals, and predictive biomarkers are used to identify patients who can respond positively to the given treatment12.
Regardless of the classification, biomarkers have relevance to any stress mechanism, disease, organ or system involved. Therefore, descriptions of individual biomarkers can be useful in elucidating their diagnostic, pathophysiological, and clinical significance12.
Utilization of Biomarkers in Clinical Disease:
Stress related diseases explain the role of stress in the emergence of disease in individuals when a person experiences chronic stress. Stress will cause biochemical and functional changes in the body and, if this continues, it can cause disease. Stress can trigger suppression of the immune system by increasing the production of catecholamines and the number of suppressor T cells11. A study conducted by Liu et al showed that stress can increase the allergic inflammatory response. Chronic stress can also change the concentration of acid in the stomach so that it can trigger peptic ulcers or colitis16. From this, it is known that stress can increase or decrease the level of biomarkers in the body which affects the incidence of disease in individuals. Various important molecular markers have been identified in relation to stress-related diseases, but for their recommendation as a unique biomarker for each condition depends on the clinical relevance as well as the cost-effectiveness, sensitivity and specificity of the diagnostic tool. Table 1 provides a summary of the various biomolecules that take on diagnostic/prognostic value along with their association with various diseases.
Table 1: Molecular biomarkers for diagnosis/prognosis in stress-related diseases
|
Molecular Biomarkers |
Molecule Category |
Molecule Function |
Association with Disease |
Markers for Diagnosis/Prognosis |
Detection module |
Ref |
|
Glutamate |
Mitochondrial phosphate-dependent glutaminase converts glutamine to glutamate and ammonia |
Important for protein synthesis, muscle formation, regulation of acid-base balance in the kidneys, ureagenesis in the liver, hepatic and renal gluconeogenesis, oxidative fuel for gut and immune system cells, precursors for the synthesis of neurotransmitters, nucleotides, nucleic acids and glutathione production |
Central obesity and associated metabolic changes |
Diagnostic markers for central obesity and altered metabolism
|
Targeted metabolomics using the IDQ Absolute p180 kit |
13 |
|
Chromogranin-A (CgA) |
Present in the secretory granules of most endocrine and neuroendocrine cells |
Precursor molecules for biologically active peptides |
Neuroendocrine tumors |
Diagnostic and prognostic markers for survival |
Solid phase, two-site immuno-radiometric assay, CGA-RIA kit |
14,15 |
|
Urinary 8-hydroxy-2-deoxyguanosine (8-OH-dG) |
Oxidized DNA nucleosides |
Excreted in urine after DNA repair |
Cancer, atherosclerosis, diabetes, diabetic nephropathy and retinopathy |
Diagnostic and prognostic markers |
Alkaline comet assay |
16,17 |
|
Liver-type fatty acid-binding protein (L-FABP) |
Expressed in the proximal tubule of the human kidney, participates in fatty acid metabolism |
Reduces cellular oxidative stress through binding to fatty acid oxidation products, and limits the toxic effects of oxidative intermediates |
Acute kidney injury |
Effective diagnostic marker in estimating the severity of kidney injury/oxidative stress biomarker |
Sandwich enzyme-linked immunosorbent assay (ELISA) kit |
18,19 |
|
Renal Wilms' tumor-1 (WT-1) |
WT-1 is expressed on podocytes in healthy adult kidneys |
Maintain normal podocyte function |
Focal segmental glomerulosclerosis, steroid sensitive nephrotic syndrome, acute kidney injury |
Prognostic markers for podocyte injury |
Differential centrifugation followed by lysis and immunoblotting |
20,21 |
|
N-acetyl-beta-D-glucosaminidase |
Lysosomal enzymes that are abundant in the cells of the proximal renal tubule |
Indications of renal tubular function, patients with tubular and interstitial renal impairment, increased urine total NAG activity |
Chronic heart failure, acute kidney injury |
Prognostic markers for death and rehospitalization of patients with heart failure and renal impairment |
Fluorimetric assay based on fluorescent substrate 4-methylumbelliferyl-N-acetyl-β-D-glucosamine or spectrophotometric method based on highly soluble and stable 4-nitrophenyl-N-acetyl-β-D-glucosamine as substrate |
22-24 |
|
D-serine |
Formed by serine racemase enzyme-mediated conference of L-serin |
Anti-depressants |
Schizophrenia, Alzheimer's disease |
Prognostic markers for antidepressant response to ketamine |
High performance liquid chromatography/ |
25,26 |
|
Osteocalcin |
Only secreted by osteoblasts |
Pro-osteoblastic, responsible for bone mineralization and calcium ion homeostasis |
Chronic rheumatic disease, bone metastases |
Prognostic markers for bone metastases |
ELISA |
27-29 |
|
Cathepsin-D |
Lysosomal aspartate protease |
Protein degradation and cell death and regulation of trypsinogen activation |
Cystic fibrosis, pancreatitis through inflammatory cells |
Prognostic markers for poor prognosis in glioma patients |
Real-time -reverse transcription-PCR analysis |
30-31 |
|
Urease, ammonia/urea (napas) |
Neutralizes stomach acid by producing ammonia from urea which spreads from the blood |
Hydrolysis of urea to form ammonia and carbon dioxide |
Gastritis, gastric ulcer, and gastric cancer |
Diagnostic markers for the presence of H. pylori |
apid urease test, urea breath test |
32-33 |
|
Calcitonin gene-related peptide (CGRP), daa substance P (SP) |
Pronociceptive role |
Involved in the development of pain and hyperalgesia |
Colonic hypersensitivity |
Diagnostic markers of neurogenic inflammation |
Capillary Isoelectric Focusing (CIEF) immunoassay |
34-36 |
|
Brain-derived neurotropic factor (BDNF) |
Neurotropins have a role in the survival and development of neurons |
Involved in hyperalgesia mechanism |
Associated with pain in chronic pancreatitis |
Diagnostic markers of chronic pancreatitis |
Immunohistochemistry |
37 |
|
Galectin-3 |
β-galactoside binding lectin |
Activates various profibrotic factors, promotes fibroblast proliferation and transformation, and mediates collagen production |
Fibrotic disease, heart disorders, asthma, atherosclerosis, atopic dermatitis |
Prognostic markers in patients with heart failure |
ELISA, BGM Gal-3 assay; RCHITECT Gal-3 assay |
38,39 |
|
Mucin |
A proline, threonine and serine rich protein containing a tandem repeat motif |
Physical barrier that limits epithelial damage and attenuates activation of innate and adaptive immune responses |
Deficiency causes colitis and superficial erosions consistent with ulcerative colitis |
Diagnostic and prognostic markers of gastrointestinal disease, cancer |
Solid-phase sandwich ELISA |
40-43 |
|
Neutrophil gelatinase associated lipocalin and cystatin C |
Expression is induced in liver, spleen and immune cells in response to ischemic damage or other renal impairment; cysteine protease inhibitor expressed by nucleated cells |
|
Indications of kidney damage |
Diagnostic markers for tubular damage |
ELISA |
44 |
|
Lactoferrin |
ransferrin group of iron-binding glycoprotein |
Components of the innate immune system, binds to iron with high affinity thereby controlling inflammation |
Obesity, type 2 diabetes, and cardiovascular disease |
Non-specific diagnostic markers of inflammation |
Immunoassay |
45 |
|
Tumor M2-pyruvate kinase (Tumor M2-PK)/M2-pyruvate kinase |
Tissue-specific isoenzymes are replaced by M2-PK |
In tumor cells there is a shift from the tetrameric form to the almost inactive dimeric form |
Increased in some human cancers, diabetes mellitus, coronary heart disease, chronic kidney failure |
Prognostic markers for pancreatic cancer, GIT disease |
ELISA |
46,47 |
|
Catestatin (CST) |
Peptide derived from the neuroendocrine protein chromogranin A |
Autocrine inhibitor of catecholamine secretion, regulates hypertension |
Cardiovascular disorders |
Diagnostic markers of psychological stress associated with increased mortality in cardiac patients
|
ELISA |
48 |
|
Fecal secretogranin |
A protein found in the secretory cells of the enteric, endocrine, and immune systems |
Describe the activity of the enteric, endocrine, and immune systems |
Ulcerative colitis, irritable bowel syndrome |
Prognostic markers |
Commercial radioimmunoassay |
49-50 |
|
Cystatin-C |
Cysteine protease inhibitor group |
Produced mainly through nucleated cells |
Chronic kidney disease |
Diagnostic markers for glomerular filtration |
Particle-enhanced turbidmetric immunoassay |
51,52 |
|
Urinary activin A |
Belongs to the TGF-beta superfamily which correlates with the degree of tubular damage |
Stimulated by inflammatory mediators |
Ischemic kidney |
Diagnostic markers of acute kidney injury |
ELISA |
53 |
|
Cardiac troponin (cTn) |
Cardiac-specific protein that is part of the troponin complex of the contractile apparatus |
Released in the blood followed by acute myocardial infarction (AMI) and other types of acute myocardial injury |
Heart injury |
Diagnostic markers for IMA |
Troponin I assay |
54 |
|
Visfatin |
Endocrine, autocrine and paracrine peptides |
Participates in the promotion of increased cell proliferation, biosynthesis of nicotinamide mono- and dinucleotides, and hypoglycemic effects |
Endometrial cancer, diabetes |
Diagnostic markers |
Multiplex fluorescent bead-based immunoassays |
55-57 |
|
Interleukin-6 |
Pleiotropic, pro-inflammatory cytokine |
Plays an important role in inflammation, immunity, reproduction, metabolism, hematopoiesis, neurodevelopment, bone remodeling and angiogenesis |
Albuminuria, retinopathy, and cardiovascular disease |
Diagnostic and prognostic markers |
SignaturePLUS Protein Array Imaging and Analysis System |
58-59 |
|
Fibrinogen |
Glycoproteins that are enzymatically converted to fibrin and subsequently form fibrin-based blood clots |
Inflammatory markers |
Chronic kidney disease |
Prognostic markers |
Immunonephelometry |
58 |
|
C-reactive protein (CRP) |
Acute phase reactants of the pentraxin family |
During pathogen-independent inflammation, CRP binds to DNA and histones and scavenges nuclear material released from damaged circulating cells to activate innate immune cells |
Solid tumor |
Prognostic markers |
Turbidmetric immunoassay |
60-61 |
|
Natriuretic peptide |
Polypeptide hormone secreted by cardiac muscle cells |
Lowers blood pressure, diuretics, sympathetic outflow, and vascular smooth muscle and endothelial cell proliferation |
Acute (decompensated) and chronic heart failure, kidney disease, hyperthyroidism, lung disease |
Diagnostic and prognostic markers |
Single-epitope sandwich assay |
62-64 |
|
Carbohydrate antigen 125 (CA 125) |
Glycoprotein product of MUC16 gene |
Produced as a consequence of mechanical stress, such as fluid overload/serous effusion and/or inflammation |
Ovarian cancer, heart failure |
Diagnostic and prognostic markers |
Quantitative ELISA kit |
65-66 |
|
Endothelin-1 |
Potent vasoconstrictor peptide |
Secreted from endothelial cells |
Systemic sclerosis, cardiac or spontaneous respiratory disease |
Diagnostic and prognostic markers |
Radioimmunoassay (RIA) |
67-68 |
|
Angiogenin |
Member of the specific vertebrate secreted ribonuclease A superfamily |
Induces the formation of blood vessels |
Colorectal cancer, acute myeloid leukemia, multiple myeloma, myelodysplastic syndrome cardiovascular disease |
Diagnostic and prognostic markers |
ELISA |
69 |
|
β2-Microglobulin |
A 100-amino acid protein encoded by a gene present on human chromosome 15 |
The tertiary structure is similar to the immunoglobulin constant domain and is associated with human leukocyte antigen I (HLA-I) on the surface of all nucleated cells. Interaction is essential for antigen presentation |
Acute kidney injury, familial hypercatabolic hypoproteinemia, solid organ malignancies, lymphoproliferative disorders, such as myeloma and chronic lymphoblastic leukemia, and many autoimmune diseases, tubulointerstitial nephritis and uveitis (TINU) syndrome |
Diagnostic markers |
BN ProSpec Nephelometer |
70-71 |
When a person is under stress, the first thing that occurs is the hypothalamus will release corticotropin-releasing hormone (CRH) which then will stimulate the pituitary gland to secrete Adrenocorticotropic hormone (ACTH) then stimulate the adrenal gland to release glucocorticoids, then the stressor will activate the hypothalamus, which then will controls the sympathetic nervous system, and stimulates the spinal nerves and then goes to the adrenal cortex system. The sympathetic nervous system will then signal to the adrenal medulla to release epinephrine and norepinephrine into the bloodstream. In addition, the hypothalamus will secrete ACTH which will stimulate the adrenal cortex to stimulate a group of hormones including cortisol, so that cortisol levels will increase. Through this mechanism, it can be seen that stress increases or decreases catecholamine levels in the body, which is a biomarker to see the severity of a disease. One study of stress biomarkers showed that oxidative biomarkers could be a promising approach for controlling the enantioselective toxicity of chiral pesticides72. Di-tyrosine bound to plasma proteins is used as a biomarker of oxidative stress in end-stage renal disease patients on routine hemodialysis73. Strong associations were also demonstrated by oxidative stress and antioxidant biomarkers in circulatory, cellular, and urinary anatomic compartments in Guatemalan children from the western highlands74. The study concluded that excessive oxidation was associated with increased urinary biomarkers of oxidative stress F2-Iso and 8-OHdG and urinary excretion of oxidative biomarkers and was directly related to antioxidant enzyme activity and inversely related to vitamin concentration75-80. Studies on the relationship between lipid peroxidation biomarkers provide promising results to assist clinicians in early disease diagnosis, initiation of effective treatment and reliable disease monitoring81-90. It implies that using biomarkers to identify stress levels in individuals can allow us to find out the severity of the disease and help decide the course of action to take and to monitor and evaluate the outcome.
CONCLUSION:
Stress biomarkers have enormous potential in therapeutic approaches to patients in monitoring prognosis and the accuracy of therapy. Current quantitation based largely on immunological assessment, chromatography, and mass spectrophotometry has yielded fairly reliable results. However, some variability and low reproducibility are significant obstacles in its implementation. Further studies are needed so that biomarker identification can be carried out optimally and specifically for each disorder, both physiological and pathological.
CONFLICT OF INTEREST:
The authors have no conflicts of interest regarding this investigation.
ACKNOWLEDGMENTS:
The authors would like to express their gratitude to the Faculty of Pharmacy, Universitas Padjajaran for the financial support during the preparation of this manuscript.
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Received on 05.01.2023 Modified on 10.04.2023
Accepted on 09.06.2023 © RJPT All right reserved
Research J. Pharm. and Tech 2024; 17(2):471-478.
DOI: 10.52711/0974-360X.2024.00074