# Association between Tumor Prognosis Marker Visfatin and Proinflammatory Cytokines in Hypertensive Patients

Authors: Ramya Parimelazhagan; Dhamodharan Umapathy; Inmozhi Ramu Sivakamasundari; Subramaniam Sethupathy; Daoud Ali; Ramkumar Kunka Mohanram; Nalini Namasivayan
Journal: BioMed Research International
 (2021)

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## Abstract

Visfatin has been reported as a risk factor and a potential diagnostic marker in cancer. It is an adipokine, secreted by visceral fat and associated with the pathogenesis of arterial hypertension. We investigated the circulatory levels of visfatin in hypertensive patients with hypertriglyceridemia, which are the risk factors for various cancers and its association with proinflammatory cytokines. A total of 81 (male/female: 33/48) subjects with or without hypertension were enrolled for this study. Group 1 was normotensive, Group 2 hypertensive, and Group 3 with hypertension with hypertriglyceridemia. Data on anthropometric and biochemical data were recorded. Plasma visfatin levels were measured using an ELISA kit. The plasma inflammatory cytokines were estimated using a multiplex bead-based assay. The results revealed that the hypertension with hypertriglyceridemia group has the highest levels of visfatin compared to the hypertension and control groups with a significant difference (p<0.001). Besides, circulatory visfatin showed the strongest possible correlation with proinflammatory cytokines among hypertensive patients with hypertriglyceridemia. We found a positive correlation between visfatin and diastolic blood pressure as well as high-density lipoproteins. In conclusion, the outcomes of the present study demonstrate that plasma visfatin levels were found to be elevated in hypertensive patients with hypertriglyceridemia and associated with proinflammatory cytokines. Since hypertension has been documented as the most common comorbidity observed in cancer patients, visfatin may be a novel potential therapeutic target for hypertension in cancer patients and survivors.


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## Body

## 1. Introduction

Hypertension and associated disorders affect more than one-third of the adult population worldwide [1]. Uncontrolled hypertension leads to an array of cardiovascular diseases leading to considerable morbidity and mortality. Hypertension research has progressed extensively, but the exact mechanism of blood pressure elevation is yet to be unraveled [2]. Hypertension has been documented as the most common comorbidity encountered in cancer patients [3].Mononuclear phagocytes infiltrate the heart, the vasculature, and the kidneys during hypertension [4]. These infiltrating macrophages and T-lymphocytes secrete or induce several inflammatory cytokines [5, 6]. Particularly T-lymphocytes show a substantial role in the etiology of increased blood pressure [7]. Therapy aimed at inhibiting lymphocyte proliferation in autoimmune diseases associated with hypertension revealed a significant decrease in blood pressure. These results reinforce the theory that the immune system plays a significant role in blood pressure regulation [4, 8].Visfatin, also named nicotinamide phosphoribosyl transferase (NAMPT), is a 52 kDa protein secreted by adipose tissue, leukocytes, hepatocytes, and muscles [9]. It has been identified as a new proinflammatory adipocytokine, which induces the monocytes and dose-dependently increases the synthesis of cytokines [10]. The anti- and proinflammatory cytokines secreted by monocytes have a considerable role in various infections/inflammatory conditions [11]. Gunes et al. reported that visfatin is associated with inflammation and endothelial dysfunction in patients with hypertension [12].There is an increase in serum visfatin concentration during obesity, which in turn is associated with vascular inflammation and insulin resistance [13]. Enhanced visfatin levels progress cell-mediated inflammation leading to macrophage survival via IL-6 release inhibiting neutrophil apoptosis and sepsis [14]. Increased visfatin was not only observed in hypertension but also reported to increase the risk of obesity-related malignancies such as breast, endometrial, and colorectal cancer in females, whereas oral squamous cell carcinoma and gastric and bladder cancer in males [15]. The proinflammatory transcription factors such as NF-κB, MAPKs, and PI3K and ROS pathways are triggered due to increased visfatin levels [16].The increased circulating serum visfatin leads to lymph node infiltration in advanced stages of several cancers [17–19]. A state of chronic low-grade subclinical inflammation connecting to obesity is directly implicated to malignancies in hypertensive subjects with hyperlipidemic conditions [20]. Therefore, we investigated the levels of circulatory visfatin in hypertensive patients with hypertriglyceridemia, which are the risk factor for obesity-associated malignancies, and its correlations with other traditional clinical parameters and a panel of circulatory proinflammatory cytokines.


## 2. Materials and Methods

### 2.1. Study Design

This cross-sectional study was conducted in Southern India at the Rajah Muthiah Medical College, Annamalai University. A total of 81 participants consisting of 48 females and 33 males, having an average age of52±10.7 years, were evaluated in this study from November 2016 to April 2017. The study protocol was permitted by the Annamalai University ethics committee (IHEC/0189/2017). Subjects with hypertension were diagnosed based on World Health Organization criteria. A consent form was collected from all the study subjects after explaining the study objectives and benefits. The study subjects were divided into the following: group 1 were normotensive subjects (n=20), group 2 were hypertensive subjects (n=26), and group 3 were subjects with both hypertension and hypertriglyceridemia (n=35).


### 2.2. Inclusion and Exclusion Criteria

Adult hypertensive patients under treatment with antihypertensive drugs (ACE inhibitors, angiotensin receptor blockers, and/or calcium blockers) were included in the study. Patients with a history of chronic infections, malignancy, hyper/hypothyroidism, kidney diseases, and autoimmune diseases were excluded from the study.


### 2.3. Diagnosis of Hypertension, Hypertriglyceridemia, and T2DM

The blood pressure of the study subjects was recorded using an electronic sphygmomanometer (Omron HEM-7080 and HEM-7080IT-E; Omron Corporation, Tokyo, Japan). Two separate blood pressure readings were recorded, and if there was a difference of more than 10 mmHg, a third reading was recorded.SystolicbloodpressureSBP≥140 mmHg and/or diastolic blood pressure (DBP) reading of ≥90 mmHg were categorized as hypertension. Fasting serum triglyceride concentration≥200 mg/dl was categorized as hypertriglyceridemia.


### 2.4. Anthropometric Measurements and Biochemical Parameters

Standard techniques were followed to measure the age, height, and weight of the study subjects. Medical history was obtained from all the participants, including details of their occupation, severity and duration of the disease, treatment protocol that was followed, complications encountered, and addiction, if any. Body mass index (BMI) of the study subjects was calculated. Venous blood was collected from the median cubital vein after an overnight fast of 12 hours. The blood samples were collected in sterile containers, centrifuged at 3000 rpm; the serum/plasma was separated and stored at -80°C. The enzymatic colorimetric technique based on the glucose oxidase-peroxidase method was used to measure the glucose level. All the biochemical parameters were measured using a Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). Plasma visfatin levels were estimated using an ELISA Kit (Thermo Scientific, USA).


### 2.5. Profiling of Inflammatory Cytokines Using Multiplex Assay

The levels of inflammatory cytokines such as proinflammatory cytokines, including TNF-α, IL-1β, IL-6, IL-17A, and IL-17F in the plasma of the study subjects, were measured using a multiplex bead-based assay (Bio-Rad, CA, USA). Briefly, plasma samples (50 μL) were taken into a Bio-Plex plate, and the assay was carried out in duplicate according to the manufacturer’s instructions. The cytokine levels were measured from standard curves and expressed as pg/mL. The intra- and interassay coefficients of variation were found as less than 5%.


### 2.6. Statistical Analysis

Student’st-test and chi-squared test were adopted to compare quantitative and categorical parameters, respectively. The Mann-Whitney U test was used for non-normally distributed parameters to compare medians. Pearson’s correlation tests were used to examine the association of plasma cytokine levels with clinical parameters. The Kruskal-Wallis test was adopted for multiple parameters which do not exhibit normal distribution. Multiple comparisons were corrected using Holm’s correction [21]. The analysis was done using the SPSS statistical package (version 20.0; SPSS, Chicago, IL), and p values less than 0.05 were considered significant.


## 2.1. Study Design

This cross-sectional study was conducted in Southern India at the Rajah Muthiah Medical College, Annamalai University. A total of 81 participants consisting of 48 females and 33 males, having an average age of52±10.7 years, were evaluated in this study from November 2016 to April 2017. The study protocol was permitted by the Annamalai University ethics committee (IHEC/0189/2017). Subjects with hypertension were diagnosed based on World Health Organization criteria. A consent form was collected from all the study subjects after explaining the study objectives and benefits. The study subjects were divided into the following: group 1 were normotensive subjects (n=20), group 2 were hypertensive subjects (n=26), and group 3 were subjects with both hypertension and hypertriglyceridemia (n=35).


## 2.2. Inclusion and Exclusion Criteria

Adult hypertensive patients under treatment with antihypertensive drugs (ACE inhibitors, angiotensin receptor blockers, and/or calcium blockers) were included in the study. Patients with a history of chronic infections, malignancy, hyper/hypothyroidism, kidney diseases, and autoimmune diseases were excluded from the study.


## 2.3. Diagnosis of Hypertension, Hypertriglyceridemia, and T2DM

The blood pressure of the study subjects was recorded using an electronic sphygmomanometer (Omron HEM-7080 and HEM-7080IT-E; Omron Corporation, Tokyo, Japan). Two separate blood pressure readings were recorded, and if there was a difference of more than 10 mmHg, a third reading was recorded.SystolicbloodpressureSBP≥140 mmHg and/or diastolic blood pressure (DBP) reading of ≥90 mmHg were categorized as hypertension. Fasting serum triglyceride concentration≥200 mg/dl was categorized as hypertriglyceridemia.


## 2.4. Anthropometric Measurements and Biochemical Parameters

Standard techniques were followed to measure the age, height, and weight of the study subjects. Medical history was obtained from all the participants, including details of their occupation, severity and duration of the disease, treatment protocol that was followed, complications encountered, and addiction, if any. Body mass index (BMI) of the study subjects was calculated. Venous blood was collected from the median cubital vein after an overnight fast of 12 hours. The blood samples were collected in sterile containers, centrifuged at 3000 rpm; the serum/plasma was separated and stored at -80°C. The enzymatic colorimetric technique based on the glucose oxidase-peroxidase method was used to measure the glucose level. All the biochemical parameters were measured using a Hitachi-912 Autoanalyser (Hitachi, Mannheim, Germany). Plasma visfatin levels were estimated using an ELISA Kit (Thermo Scientific, USA).


## 2.5. Profiling of Inflammatory Cytokines Using Multiplex Assay

The levels of inflammatory cytokines such as proinflammatory cytokines, including TNF-α, IL-1β, IL-6, IL-17A, and IL-17F in the plasma of the study subjects, were measured using a multiplex bead-based assay (Bio-Rad, CA, USA). Briefly, plasma samples (50 μL) were taken into a Bio-Plex plate, and the assay was carried out in duplicate according to the manufacturer’s instructions. The cytokine levels were measured from standard curves and expressed as pg/mL. The intra- and interassay coefficients of variation were found as less than 5%.


## 2.6. Statistical Analysis

Student’st-test and chi-squared test were adopted to compare quantitative and categorical parameters, respectively. The Mann-Whitney U test was used for non-normally distributed parameters to compare medians. Pearson’s correlation tests were used to examine the association of plasma cytokine levels with clinical parameters. The Kruskal-Wallis test was adopted for multiple parameters which do not exhibit normal distribution. Multiple comparisons were corrected using Holm’s correction [21]. The analysis was done using the SPSS statistical package (version 20.0; SPSS, Chicago, IL), and p values less than 0.05 were considered significant.


## 3. Results

### 3.1. Clinical and Biochemical Parameters of the Study Subjects

Table1 depicts the clinical characteristics and biochemical parameters of the study subjects. The age difference was not significant among or between the hypertensive subjects, though BMI was significantly elevated in all the hypertensive subjects (groups 2 and 3) as compared to the control (group 1), there was no significant difference in the age between the hypertensive subjects, but they were comparatively older than the control subjects. There is no significant difference in the fasting plasma glucose in the study subjects. Total cholesterol was found to be elevated in group 3 as compared to group 2 (hypertension) and group 1 (normotensive) subjects. Serum triglycerides and LDL cholesterol were significantly increased in hypertensive hypertriglyceridemic subjects (group 3) compared to the other groups (groups 1 and 2).Table 1
Clinical and biochemical characteristics of the study subjects.
Clinical parametersNGTHTNHTN+TGLOne-way ANOVABrown-Forsythe test (F statistics)Age (years)43.6±9.3354.4±11.251.9±10.90.0020.44Systolic blood pressure (mm Hg)112.0±7.6160.0±19.6164.4±29.7<0.00016.34Diastolic blood pressure (mm Hg)78.5±6.797.3±9.997.7±5.4<0.00011.27Fasting plasma glucose (mg/dL)95.4±6.5103.5±44.592.4±27.5<0.00018.73Urea (mg/dL)20.6±3.228.4±5.925.4±5.2<0.00011.91Creatinine (mg/dL)0.8±0.10.8±0.100.8±0.060.471.44Sodium (mEq/L)138.8±2.8134.1±20.1138.3±1.80.510.88Potassium (mmol/L)4.2±0.44.0±0.84.1±0.20.491.11Chloride (mEq/L)99.9±3.1100.3±2.4100.6±1.60.823.21Total serum cholesterol (mg/dL)155.3±26.1172.0±26.9202.6±27.0<0.00014.74Serum triglycerides (mg/dL)103.2±25.3112.3±27.1238.8±53.1<0.00015.77HDL cholesterol (mg/dL)45.5±6.946.7±19.442.1±3.30.640.49LDL cholesterol (mg/dL)81.8±9.9107.3±26.9112.6±25.30.00078.94All data are reported as themean±SD for continuous variables. p values were calculated using a one-way ANOVA test on PRISM software (version 6.0).


### 3.2. Plasma Visfatin levels among the Study Subjects

Figure1 shows the plasma levels of visfatin in the study subjects. Plasma visfatin levels were significantly elevated in hypertensive subjects (groups 2 and 3) as compared to the control (group 1) (p<0.001). When visfatin levels of hypertensive subjects (group 2) were compared with hypertensive hypertriglyceridemic subjects (group3), their levels were further elevated (p<0.05).Figure 1
Serum visfatin concentrations of control and hypertensive subjects. The error bar represents the geometric mean unit with 95% confidence interval. Thep values were calculated by Kruskal-Wallis one-way analysis of variance. p<0.05 was considered significant.


### 3.3. Levels of Proinflammatory Cytokine among the Study Subjects

Figure2 displays proinflammatory cytokine levels in the circulation of the study subjects. All the tested proinflammatory cytokines, including TNF-α, IL-1β, IL-6, IL-17A, and IL-17F, were significantly increased in hypertensive subjects (group 2) as compared to the control (group 1). Among the tested cytokines, IL-1β, IL-6, IL-17A, and IL-17F were further increased in hypertensive hypertriglyceridemic subjects (group 3) compared to the hypertensive subjects (group 2). The major cytokine TNF-α did not show any difference between hypertensive hypertriglyceridemic subjects and hypertensive subjects.Figure 2
Profiling of serum cytokines using a multiplex bead-based assay system between control and hypertensive subjects. The error bar represents the geometric mean unit with 95% confidence interval. Thep values were calculated by Kruskal-Wallis one-way analysis of variance. p<0.05 was considered significant.
(a)(b)(c)(d)(e)


### 3.4. Pearson’s Correlation for Plasma Visfatin over Inflammatory Cytokines

Table2 shows the Pearson correlation coefficient of plasma visfatin with inflammatory cytokines in hypertensive hypertriglyceridemic subjects (group 4). We found a positive correlation between IL-6 (r=0.03; p=0.360) and TNF-α (r=0.04; p=0.291).Table 2
Pearson correlation coefficient of proinflammatory cytokines compared with plasma levels of visfatin in HTN+TGL subjects.
Inflammatory cytokinesrpIL-1β-0.090.61IL-60.36∗0.03IL-17A-0.020.91IL-17F-0.110.51TNFα0.29∗0.04p and r values were calculated using the Pearson correlation test at 95% confidence intervals.


### 3.5. Pearson’s Correlation for Plasma Visfatin with Other Clinical Parameters

Table3 shows the Pearson correlation coefficient of plasma visfatin with other clinical parameters in hypertensive hypertriglyceridemic subjects (group 4). Visfatin levels showed a positive correlation with diastolic blood pressure (r=0.599; p=0.009) and negative correlation with urea (r=−0.639; p=0.01), potassium (r=−0.563; p=0.02), and HDL cholesterol (r=−0.105; p=0.02).Table 3
Pearson correlation coefficient of clinical parameters compared with plasma levels of visfatin in HTN+TGL subjects.
Clinical parametersrpAge-0.4840.06Systolic blood pressure0.2110.45Diastolic blood pressure0.5990.009Fasting plasma glucose-0.1430.61Urea-0.6390.01Creatinine0.2310.40Sodium0.1760.52Potassium0.5630.02Chloride-0.0420.88Total cholesterol0.3610.93Triglycerides0.3080.26High-density lipoprotein-0.1050.02Low-density lipoprotein0.3560.19Bilirubin total0.3840.15Bilirubin direct0.1860.50p and r values were calculated using the Pearson correlation test at 95% confidence intervals.


## 3.1. Clinical and Biochemical Parameters of the Study Subjects

Table1 depicts the clinical characteristics and biochemical parameters of the study subjects. The age difference was not significant among or between the hypertensive subjects, though BMI was significantly elevated in all the hypertensive subjects (groups 2 and 3) as compared to the control (group 1), there was no significant difference in the age between the hypertensive subjects, but they were comparatively older than the control subjects. There is no significant difference in the fasting plasma glucose in the study subjects. Total cholesterol was found to be elevated in group 3 as compared to group 2 (hypertension) and group 1 (normotensive) subjects. Serum triglycerides and LDL cholesterol were significantly increased in hypertensive hypertriglyceridemic subjects (group 3) compared to the other groups (groups 1 and 2).Table 1
Clinical and biochemical characteristics of the study subjects.
Clinical parametersNGTHTNHTN+TGLOne-way ANOVABrown-Forsythe test (F statistics)Age (years)43.6±9.3354.4±11.251.9±10.90.0020.44Systolic blood pressure (mm Hg)112.0±7.6160.0±19.6164.4±29.7<0.00016.34Diastolic blood pressure (mm Hg)78.5±6.797.3±9.997.7±5.4<0.00011.27Fasting plasma glucose (mg/dL)95.4±6.5103.5±44.592.4±27.5<0.00018.73Urea (mg/dL)20.6±3.228.4±5.925.4±5.2<0.00011.91Creatinine (mg/dL)0.8±0.10.8±0.100.8±0.060.471.44Sodium (mEq/L)138.8±2.8134.1±20.1138.3±1.80.510.88Potassium (mmol/L)4.2±0.44.0±0.84.1±0.20.491.11Chloride (mEq/L)99.9±3.1100.3±2.4100.6±1.60.823.21Total serum cholesterol (mg/dL)155.3±26.1172.0±26.9202.6±27.0<0.00014.74Serum triglycerides (mg/dL)103.2±25.3112.3±27.1238.8±53.1<0.00015.77HDL cholesterol (mg/dL)45.5±6.946.7±19.442.1±3.30.640.49LDL cholesterol (mg/dL)81.8±9.9107.3±26.9112.6±25.30.00078.94All data are reported as themean±SD for continuous variables. p values were calculated using a one-way ANOVA test on PRISM software (version 6.0).


## 3.2. Plasma Visfatin levels among the Study Subjects

Figure1 shows the plasma levels of visfatin in the study subjects. Plasma visfatin levels were significantly elevated in hypertensive subjects (groups 2 and 3) as compared to the control (group 1) (p<0.001). When visfatin levels of hypertensive subjects (group 2) were compared with hypertensive hypertriglyceridemic subjects (group3), their levels were further elevated (p<0.05).Figure 1
Serum visfatin concentrations of control and hypertensive subjects. The error bar represents the geometric mean unit with 95% confidence interval. Thep values were calculated by Kruskal-Wallis one-way analysis of variance. p<0.05 was considered significant.


## 3.3. Levels of Proinflammatory Cytokine among the Study Subjects

Figure2 displays proinflammatory cytokine levels in the circulation of the study subjects. All the tested proinflammatory cytokines, including TNF-α, IL-1β, IL-6, IL-17A, and IL-17F, were significantly increased in hypertensive subjects (group 2) as compared to the control (group 1). Among the tested cytokines, IL-1β, IL-6, IL-17A, and IL-17F were further increased in hypertensive hypertriglyceridemic subjects (group 3) compared to the hypertensive subjects (group 2). The major cytokine TNF-α did not show any difference between hypertensive hypertriglyceridemic subjects and hypertensive subjects.Figure 2
Profiling of serum cytokines using a multiplex bead-based assay system between control and hypertensive subjects. The error bar represents the geometric mean unit with 95% confidence interval. Thep values were calculated by Kruskal-Wallis one-way analysis of variance. p<0.05 was considered significant.
(a)(b)(c)(d)(e)


## 3.4. Pearson’s Correlation for Plasma Visfatin over Inflammatory Cytokines

Table2 shows the Pearson correlation coefficient of plasma visfatin with inflammatory cytokines in hypertensive hypertriglyceridemic subjects (group 4). We found a positive correlation between IL-6 (r=0.03; p=0.360) and TNF-α (r=0.04; p=0.291).Table 2
Pearson correlation coefficient of proinflammatory cytokines compared with plasma levels of visfatin in HTN+TGL subjects.
Inflammatory cytokinesrpIL-1β-0.090.61IL-60.36∗0.03IL-17A-0.020.91IL-17F-0.110.51TNFα0.29∗0.04p and r values were calculated using the Pearson correlation test at 95% confidence intervals.


## 3.5. Pearson’s Correlation for Plasma Visfatin with Other Clinical Parameters

Table3 shows the Pearson correlation coefficient of plasma visfatin with other clinical parameters in hypertensive hypertriglyceridemic subjects (group 4). Visfatin levels showed a positive correlation with diastolic blood pressure (r=0.599; p=0.009) and negative correlation with urea (r=−0.639; p=0.01), potassium (r=−0.563; p=0.02), and HDL cholesterol (r=−0.105; p=0.02).Table 3
Pearson correlation coefficient of clinical parameters compared with plasma levels of visfatin in HTN+TGL subjects.
Clinical parametersrpAge-0.4840.06Systolic blood pressure0.2110.45Diastolic blood pressure0.5990.009Fasting plasma glucose-0.1430.61Urea-0.6390.01Creatinine0.2310.40Sodium0.1760.52Potassium0.5630.02Chloride-0.0420.88Total cholesterol0.3610.93Triglycerides0.3080.26High-density lipoprotein-0.1050.02Low-density lipoprotein0.3560.19Bilirubin total0.3840.15Bilirubin direct0.1860.50p and r values were calculated using the Pearson correlation test at 95% confidence intervals.


## 4. Discussion

Visfatin, a known proinflammatory cytokine, plays a significant role in many chronic inflammatory conditions, including atherosclerosis and cardiovascular diseases. Though the structure of visfatin has been unraveled, its role in hypertension, atherosclerosis, and cancer still needs to be studied thoroughly.Our results showed significantly elevated plasma visfatin concentrations in the hypertensive subjects as compared to the control. Besides, a positive correlation was observed between plasma visfatin and diastolic blood pressure in these patients. In this context, Seo et al. have also reported enhanced plasma visfatin concentrations in women hypertensive patients with elevated diastolic blood pressure [22]. Similarly, Ingelsson et al. observed that the prevalence of hypertension corresponds with visfatin concentrations [23]. Rotkegel et al., in their study, observed markedly elevated plasma visfatin concentrations in hypertensive patients as compared to the control [24]. Moreover, in the present study, we observed no significant changes in circulating visfatin levels in normotensive subjects, showing that there is an association between circulatory visfatin and blood pressure.Moreover, reports show that visceral obesity is associated with elevated plasma visfatin levels in hypertensive patients [25]. Our data also revealed increased BMI in hypertensive patients of all the groups as compared to the control subjects. Further, Filippatos et al. revealed that waist circumference, total cholesterol, and triglyceride levels were positively correlated with blood pressure [26]. Similarly, we observed significantly elevated serum triglycerides and LDL cholesterol concentrations in the hypertensive hypertriglyceridemic subjects compared to the other two hypertensive subjects (groups 2 and 3). Synchronous results were also obtained by Sun et al., who reported a positive correlation between visfatin and triglycerides in the serum [27].The high levels of visfatin in the plasma of hypertensive subjects could be explained by suggesting that visfatin and blood pressure are inversely related and that adipose tissue may play a protective role in blood pressure regulation by secreting visfatin. In this regard, animal studies revealed that visfatin dose-dependently suppresses blood pressure elevation in deoxycorticosterone (DOCA) salt hypertensive rats [28].Visfatin is a proinflammatory cytokine that is secreted by monocytes and macrophages that infiltrate tissue spaces in response to inflammation and can directly interact with vascular cells. Besides, visfatin is known to stimulate vascular smooth muscle cell (VSMC) inflammation and plays a vital role in atherosclerosis and other inflammatory diseases [29]. We observed a positive correlation between visfatin and proinflammatory cytokines such as IL-6 and TNF-α in hypertensive hypertriglyceridemic subjects. Similarly, Dahl et al. observed that visfatin elevated TNF-α and IL-8 in peripheral blood mononuclear cells in vitro [30]. In this context, visfatin via iNOS regulation directly affects vascular function and inflammation [31].Earlier studies documented that visfatin acts as a growth factor and activates a few signaling pathways such as PI3K and STAT3 [32]. It has been reported that recombinant visfatin administration increases the proliferation of breast cancer MCF-7 cells [33]. Further, the elevated visfatin levels in breast cancer patients were reported to be associated with the higher development of breast cancer and worse prognosis [34, 35]. Further, the elevated visfatin increases the levels of MMPs 2 and 9, and VEGF is leading to migration, invasion, and metastasis [36].Higher levels of visfatin in obese subjects show hypoadiponemia and hyperleptinemia, leading to obesity associated with cancer [37]. Visfatin levels influence obesity-induced adipokine involvement in the pathophysiology of cancer development [16]. In hypertensive subjects, visfatin provides a link between cancer and obesity via (i) acting as a proinflammatory cytokine linking obesity to cancer [38] and (ii) triggering the proangiogenic, invasive, and metastatic nature of visfatin in obese hypertensive subjects with hyperlipidemic conditions leading to increased estrogen levels and thereby breast cancer [39].Thus, the synergistic increase in the levels of visfatin and the proinflammatory cytokines could play an important role in the pathogenesis of hypertension. However, visfatin is known to be linked with the activation of Akt (protein kinase B) and P 44/42 (MAPK) signaling pathways, thereby protecting the VSMC and thus the development of hypertension [40]. Moreover, Yilmaz et al. reported that visfatin plays an important role in the renin-angiotensin system [41]. Angiotensin-II is known to activate the ATI/R-JAK/STAT pathway and increase the expression of visfatin [42]. On the other hand, visfatin has been negatively correlated with circulating aldosterone [43].Overall, the role of visfatin on inflammatory and cardiovascular diseases revealed conflicting results. Most studies showed enhanced visfatin levels in hypertension, diabetes, obesity, and renal and cardiovascular diseases. Our data correlate with the above findings. However, some studies show reduced levels of plasma visfatin, which could be due to the multifarious regulation of visfatin.


## 5. Conclusion

The outcomes of the present study have demonstrated the elevated level of plasma visfatin in hypertensive patients with hypertriglyceridemia associated with proinflammatory cytokines. Visfatin exhibits proliferative, antiapoptotic, proinflammatory, and proangiogenic properties. Moreover, circulatory visfatin was also increased in many cancers, including obesity-associated cancers, and associated with bad prognosis and higher tumor stage. Though the relationship between obesity and hypertension is well established and hypertension has been reported to be the most common comorbidity encountered in patients with cancer, visfatin may be a novel potential therapeutic target for hypertension in cancer patients and survivors.



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*Source: 8568926-2021-03-17.xml*