A Review on the Synthetic and Less Expensive Biomarkers to Monitor the Clinical Course of Cancer Autoimmune Diseases and Cardiovascular Disorders Download PDF

Journal Name : SunText Review of BioTechnology

DOI : 10.51737/2766-5097.2020.014

Article Type : Review Article

Authors : Lissoni P, Rovelli F, Pelizzoni F, Zanandrea G, Galli C, Merli N, Messina G, Codogni R, Lissoni A, Tassoni S and Di Fede G

Keywords : Autoimmunity; Biomarkers; Cancer; Cardiovascular diseases; Cytokines; Lymphocyte-to-monocyte ratio

Abstract

The evolution of the medical Sciences corresponded to the discovery of new classes of molecules, firstly the vitamins, then the hormones, then again the neurotransmitters, and finally the cytokines, and each discovery of new molecules allowed the possibility to definitively cure some human diseases. Unfortunately, the last discovery that of cytokines, has still substantially excluded from the common clinical practice. Therefore, it becomes essential to clinically introduce the new science of cytokines, that we could call as cytokinology, before from either a diagnostic, or a prognostic point of view, and after from a therapeutic one. This statement is justified by the fact that the cytokines produced by the activated immune cells do not regulate the only immune system, but all biological functions, being the main responsible for host biological response. The most synthetic and less expensive biomarker could be the same lymphocyte-to-monocyte (LMR), since the evidence of a progressive decline in LMR has been proven to predict a negative prognosis in both metastatic cancer and cardiovascular disorders, as well as to be related to the exacerbation phase of the autoimmune diseases. The occurrence of high blood levels of TNF-alpha, IL-6 and IL-17A has a negative prognostic significance in both advanced cancer and autoimmunity. On the contrary, the evidence of high concentrations of TGF-beta and IL-10 is associated with a negative prognosis in metastatic cancer and with a disease control in the autoimmune disorders.


Introduction

Despite its great complexity, the immune functionless is the end-results of the interactions occurring between lymphocyte and monocyte-macrophage functions, with the dendritic cells as the link between old innate and new acquired immunity. Moreover, within the lymphocyte system, the immune regulation is mainly determined by three major subsets of T lymphocytes, consisting of TH1 lymphocytes (CD4+CD25-CD17-), regulatory T lymphocytes (T reg) (CD4+CD25+), and TH17 lymphocytes (CD4+CD17+) [1-3]. All lymphocyte subpopulations may release several proteins, the so-called cytokines, but from a clinical point of view it is important to remember the main factors involved in the regulation of the whole immune system, which are represented by IL-2 for TH1 cells, IL-17A for TH17 cells, and IL-10 and TGF-beta for T reg cells. On the other side, the differentiation of the monocyte-macrophage system into different sub-sets is more controversial [4-8]. However, it has been shown that monocyte count may reflect the functional status of the macrophage system [9]. Therefore, because of the great number of potential immune biomarkers and their different economic cost, it is fundamental to distinguish the most important ones from a clinical point of view to monitor the clinical course of the various systemic diseases from those useful for the only experimental researches. At this proposal and by taking into consideration that the immune status is depending on the lymphocyte-macrophage relationships the most simple and less expensive biomarker from a clinical point of view may be considered the lymphocyte-to-monocyte ratio (LMR) which has appeared to play a prognostic significance in all severe human systemic diseases, including cancer autoimmune diseases and cardiovascular disorders [10-13]. Finally, as far as systemic disease-related symptomatology is concerned, IL-1 beta would be the main responsible for fever TNF-alpha for cachexia and anorexia IL-6 for sepsis-related hypotension and multi-organ failure and IL-31 for pruritus. Unfortunately, most Clinicians do not seem to be interested in the investigation of the physiopathology of cytokines [14-17].


The Clinical Significance of Th1/T Reg, Th17/T Reg, Th1/Th17

Since the pathogenesis of human systemic diseases may be reinterpreted as depending at least in part on an altered relation among the different T lymphocyte subsets, it becomes clinically important to quantify T cell subpopulations. In fact, the alterations in cytokine secretions occurring in the different systemic diseases would be the simple consequence of those involving the various T cell subsets. The progressive decline in TH1 cell count in association with an increase in T reg cell number and activity is the main advanced cancer-related immune alteration which would be due to macrophage-mediated chronic inflammatory status. Then, the progressive decline in TH1/T reg cell ratio occurring during cancer progression depends either on a diminished TH1 cell count, or an increased T reg cell number. Moreover, it has been shown that the decline in TH1/ T reg cell ratio positively correlates with a decline in LMR values. Then, LMR values could represent an adequate and less expensive biomarker to monitor the evolution of advanced cancer patents. As fare as the autoimmune diseases are concerned, until few years ago the increased activity of TH1 cells was considered the main event responsible for the onset of autoimmune processes. In contrast, it has been demonstrated that the autoimmune diseases are namely characterized by an increase in TH17 cell activity in association with a decline in T reg cell count since the main action of TH17 cells is the inhibition of T reg cell generation and function. Then, the evidence of an abnormally high values of TH17/T reg cell ratio, which is due to both TH17 cell increase and T reg cell decline, may be considered as the main biomarker with negative prognostic significance to monitor the clinical course of the autoimmune diseases. LMR values have also appeared to have a prognostic significance in the autoimmune pathologies, since it has been shown to be normal or a little increased during the remission phase of disease and abnormally low during the exacerbation phase in any case not due to a diminished lymphocyte production as well as in the metastatic neoplasms but probably to lymphocyte exit from the blood to infiltrate organ tissues. In addition, at least some autoimmune diseases may be also characterized by a decline in TH1/TH17 cell ratio, sine the increase in TH17 cell count would be superior to TH1 enhancement. The occurrence of a diminished TH1/TH17 could also characterized the advanced neoplastic pathologies, because of cancer-related decline in TH1 count, as well as a probable increase in TH17 cell number, even though the TH17 profile in cancer patients has been less investigated up to now [18,19]. In any case, according to the data available up to now, cancer progression would be characterized not only by an increased T reg cell function, but also by an enhanced TH17 cell activation. Moreover, IL-17, despite its potential favourable effect due to an inhibition of T reg cell system, may directly stimulate cancer cell proliferation, and IL-17-expression by cancer cells would enhance their malignant aggressiveness. Finally, a marked increase in TH17/T reg cell ratio has been shown to predict a risk of acute respiratory distress syndrome (ARDS) in patients with lung injury, or viral infections, including coronavirus infection.


Main Alterations of Cytokine Secretions in Human Systemic Diseases

In non-metastatic cancer patients, the immune profile is substantially within the normal range. On the contrary, the metastatic disease is characterized by an increase in IL-6, TNF-alpha and TGF-beta blood concentrations in association with a progressive decline in LMR values and in TH1/T reg cell ratio [20]. On the contrary, IL-17 secretion in cancer needs to be furtherly investigated and understood. The common immune profile of the autoimmune disorders is depending on the phase of disease, since the remission phase tends to present LMR values within the normal range in association with normal blood levels of the main inflammatory cytokines. On the other hand, the exacerbation phase of disease is characterized by abnormally high concentrations of IL-17A, IL-6, and TNF-alpha, in association with a rapid decline in LMR and with an abnormal increase in TH17/T reg cell ratio while the evidence of high levels of IL-10 and TGF-beta may reflect a disease control because of their anti-inflammatory action [21-29]. Finally, the cardiovascular disorders, including myocardial infarction and brain stroke, are substantially characterized by a decline in LMR values. Two other important biomarkers for the cardiovascular diseases are represented by atrial natriuretic peptide-to-endothelin-1 ratio (ANP/ET-1), and by vasopressin-to-oxytocin ratio (ADH/OT). The evidence of an abnormal decline in ANP/ET-1 ratio as well as an abnormal increase in ADH/OT ratio would predict a less favourable prognosis [30]. The occurrence of an abnormal increase in the blood concentrations of inflammatory cytokines, such as TNF-alpha, has been proven to be also associated with a more severe prognosis in the myocardial infarction [31]. These findings would confirm that the functionless of the cytokine network is not involved only in the regulation of the immune system, but also of the overall biological systems. On the contrary, the profile of TGF-beta secretion and lymphocyte and monocyte subsets in the myocardial infarction, as well as in the other cardiovascular disorders, needs to be furtherly established. In addition, it seems that the concomitant occurrence of an abnormally enhanced secretion of IL-18 may furtherly worsen the severity of systemic disease-related exaggerated host inflammatory response [32]. Finally, the loss of the physiological light/dark rhythm of the pineal hormone melatonin, whose fundamental immunoregulatory role has been well demonstrated, would also be associated with a more negative prognosis either in the metastatic cancer, or in cardiovascular ischemic diseases [33].


Table 1: The main immune and neuroendocrine pathological and prognostic biomarkers to monitor the clinical course of the main systemic human diseases.

Pathology Significance

Biomarkers

Prognostic

Metastatic Cancer         

Low LMR

Negative

Low TH1/T reg ratio, low TH1/TH17 ratio

Negative

 High TNF-alpha and IL-6 levels

Negative

High TGF-beta and IL-10 levels

Negative

Lack of light/dark MLT rhythm

Negative

Autoimmune Diseases    

Low LMR

Negative

High TH17/T reg ratio, low TH1/TH17 ratio

Negative

High IL-17A, TNF-alpha and IL-6 levels

Negative

High IL-10 and TGF-beta levels

Positive

Cardiovascular   Diseases             

Low LMR

Negative

High TNF-alpha, IL-6, IL-18 levels

Negative

Low ANP/ET-1 ratio

Negative

High ADH/OT ratio

Negative

Lack of light/dark MLT rhythm

Negative

Ards

Low LMR

Negative

High TH17/ T reg ratio

Negative

High IL-17A, TNF-alpha and IL-6 levels

Negative

High IL-10 levels

Probably positive


How to Monitor Adequately and In a Less Expensive Way Host Immunity in Systemic Diseases?

The two extreme mistakes are the almost complete lack of immune evaluation in patients with systemic diseases, including cancer and autoimmunity, and on the other side the detection of an excessive number of laboratory immune parameters, including cytokine blood levels and lymphocyte subsets. Then, the correct clinical behaviour would have to consist of the measurement of the only essential and synthetic immune biomarkers to establish the immune status of patients, in particular by avoiding the measurement of cytokines provided by the same pathological significance, such as the concomitant detection of IL-1 beta and IL-6, because of their positive correlation. Obviously, the choice of the fundamental immune parameters to be clinically detected requires a perfect knowledge of the physiopathology of the different human systemic diseases. In addition, the synthetic group of biomarkers to monitor the clinical course of the systemic diseases must include both parameters provided by physio-pathologic and prognostic significance. The main cytokine levels and T lymphocyte subsets provided by pathological or prognostic significance in the most important human systemic diseases are summarized in (Table 1). LMR: Lymphocyte/monocyte ratio; ANP: Atrial natriuretic peptide; ET-1: Endothelin-1; MLT: Melatonin, ADH: Vasopressin; OT: Oxytocin. 


Conclusions

A further future evolution of the medical Sciences will be achieved and realized only when the evaluation of the functionless of the cytokine network will be included within the commonly laboratory examinations to monitor the clinical course of the most important severe human systemic disease. 


Additional Reading

  1. Grimm EA, Mazumder A, Zhang HZ, Rosenberg SA. Lymphokine-activated killer cell phenomenon Lysis of natural killer-resistant fresh solid tumor cells by interleukin 2-activated autologous human peripheral blood lymphocytes. J Exp Med. 1982; 155: 1823-1841.
  2. Sakaguchi S, Wing K, Onishi Y, Martin PP, Yagamuchi T. Regulatory T cells: how do they suppress immune responses. Int Immunol. 2009; 21: 1105-1111.
  3. Kolls JK, Linden A. Interleukin-17 family members and inflammation. Immunity. 2004; 21: 467-476.
  4. Lissoni P. Therapy implications of the role of interleukin-2 in cancer. Expert Rev Clin Immunol. 2006; 13: 491-498.
  5. Dong C. Diversification of T helper-cell lineages: finding the family root of IL-17-producing cells. Nat Rev Immunol. 2006; 6: 329-333.
  6. Dennis KL, Blatner NR, Gounari F, Khazaie K. Current status of IL-10 and regulatory T cells in cancer. Curr Opin Oncol. 2003; 25: 637-645.
  7. Gorelik L, Flavell RA. Transforming growth factor-beta in T cell biology. Nat Rev Immunol. 2002; 2: 46-53.
  8. Millis CD. M1 and M2 macrophages: oracles of healthy and disease. Crit Rev Immunol. 2012; 32: 463-486.
  9. Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature. 2008; 454: 436-444.
  10.  Lissoni P, Rovelli F, Vigoré L, Messina G, Lissoni A, Porro G, et al. How to monitor the neuroimmune biological response in patients affected by immune alteration-related systemic diseases. In: Psychoneuroimmunology: Methods and Protocols. 2018; 1781: 171-191.
  11. Gu L, Li H, Chen L, Ma X, Li X, Gao Y, et al. Prognostic role of lymphocyte-to-monocyte ratio for patients with cancer: evidence from a systematic and metanalysis. Oncotarget. 2016; 3: 7876-7781.
  12. Cherfane CE, Gessel L, Cirillo D, Zimmerman MB, Polyak S. Monocytosis and a low lymphocyte to monocyte ratio are effective biomarkers of ulcerative colitis disease activity. Inflamm Bowel Dis. 2015; 21: 1769-1775.
  13. Yayla C, Akboga MK, Yayla GK, Ertem AG, Efe TH, Sen F, et al. A novel marker of inflammation in patients with slow coronary flow: lymphocyte-to-monocyte ratio. Biomark Med. 2016; 10: 485-493.
  14. Kryczek I, Wei S, Vatan L, Wilke EJ, Szeliga W, Keller ET, et al. Cutting edge: opposite effects of IL-1 and IL-2 on the regulation of IL-17+ T cell pool IL-1 subverts IL-2-mediated suppression. J Immunol. 2007; 179: 1423-1426.
  15. Bauer T, Monton C, Torres A, Cabello H, Fillela X, Maldonado A, et al. Comparison of systemic cytokine levels in patients with acute respiratory distress syndrome, severe pneumonia, and controls. Thorax. 2000; 55: 46-52.
  16. Damas P, Ledoux D, Nys M, Vrindts Y, De Groote D, Franchimont P, et al. Cytokine serum level during severe sepsis in human IL-6 as a marker of severity. Ann Surg. 1992; 215: 356-362.
  17. Dibene CJ, McIntyre LL, Zlotnik A. Interleukin 30 to interleukin 40. J Interferon Cytokine Res. 2018; 38: 423-439.
  18. Brivio F, Fumagalli L, Parolini D, Messina G, Rovelli F, Rescaldani R, et al. T helper/ T regulator lymphocyte ratio as a new immunobiological index to quantify the anticancer immune status in cancer patients. In Vivo. 2008; 22: 647-650.
  19.  Lohr J, Knoechel B, Wang JJ, Villarino AV, Abbas AK. Role of IL-17 and regulatory T lymphocytes in a systemic autoimmune disease. J Exp Med. 2006; 25: 2785-2791.
  20. Symmons DP, Farr M, Salmon M, Bacon PA. Lymphopenia in rheumatoid arthritis. J R Soc Med. 1989; 82: 462-463.
  21. Du J, Chens S, Shi J, Zhu X, Ying H, Zhang Y, et al. The association between the lymphocyte-to-monocyte ratio and diseases activity in rheumatoid arthritis. Clin Rheumatol. 2017; 36: 2689-2695.
  22. Shi Y, Wang H, Su Z, Chen J, Xue Y, Wang S, et al. Differentiation imbalance of Th1/Th17 in peripheral blood mononuclear cells might contribute to pathogenesis of Hashimoto’s thyroiditis. Scand J Immunol. 2010; 72: 250-255.
  23. Zhang B, Rong G, Wei H, Zhang M, Bi J, Ma L, et al. The prevalence of Th17 cells in patients with gastric cancer. Biochem Biophys Res Common. 2008; 374: 533-537.
  24. Wang L, Yi T, Kortylewski M, Pardoll DM, Zeng D, Yu H, et al. IL-17 can promote tumor growth through an IL-6-Stat 3 signaling pathway. J Exp Med.2009; 206: 1456-1464.
  25. Yu Z, Ji M, Yan J, Cai Y, Liu J, Yang H, et al. The ratio of Th17/T reg cells as a risk indicator of early acute respiratory distress syndrome. Critical Care. 2015; 19: 82-83.
  26. Rubinow DR. Brain, behaviouir and immunity: an interactive system. J Natl Cancer Inst Monogr. 1990; 10: 79-82.
  27. Lissoni P, Rovelli F, Messina G, Borsotti GM, Frigerio S, Tosatto A, et al. A preliminary study of the correlation between IL-6 and IL-17 secretions in human systemic diseases: possible existence of two different origins of the inflammatory response. Clin Res Oncol J: CORJ. 2019.
  28. Korn T, Bettelli E, Oukka M, Kuchroo VK. IL-17 and Th17 cells. Annu Rev Immunol. 2009; 27: 485-517.  
  29.  Bettelli E, Carrier Y, Gao V, Korn T, Strom TB, Oukka M, Weiner HL, Kuchroo VK. Reciprocal development pathways in the generation of pathogenic effector TH17 and regulatory T cells. Nature. 2006; 441: 235-238.
  30. Khan IA. Role of endothelin-1 in acute myocardial infarction. Chest J. 2005; 127:1474-1476.
  31. Lissoni P, Lissoni A, Pelizzoni F, Rovelli F, Trampetti R, Di Fede G. The psycho-neuro-endocrino-immunlogy (PNEI) of the cardiovascular system. J Endocrinol Thyr Res. 2019; 5: 1-6.
  32. Dinarello CA, Kaplanski G. Interleukin-18: treatment options for inflammatory diseases. Expert Rev Clin Immunol. 2014; 1: 619-632.
  33. Brzezinski A. Melatonin in humans. N Engl J Med. 1997; 336: 186-195.