Gut permeability is associated with hypertension and measures of obesity but not with Endothelial Dysfunction in South African youth.

BACKGROUND: Though gut permeability has shown to be associated with measures of obesity and hypertension, its relationship with endothelial dysfunction, an early predictor for cardiovascular diseases remains unknown.
OBJECTIVE: This study assessed the relationship between hypertension, measures of obesity, gut permeability and endothelial dysfunction.
METHODS: A cross-sectional quantitative study which enrolled 151 South African youths was conducted. Anthropometric and blood pressure measurements were performed. Zonulin, a marker for gut permeability; adiponectin, an anti-inflammatory molecule, as well as asymmetric dimethylarginine (ADMA) and Nitric oxide (NO) which are markers for endothelialfunction were assayed.
RESULTS: Approximately eighteen percent (17.88%) of the participants were hypertensive while 40.4% were pre-hypertensive. Adiponectin significantly increased in hypertensive subjects and negatively correlated (p<0.05) with measures of obesity but was not associated with gut permeability and endothelial dysfunction. Increased body mass index (BMI) and visceral fat (VF) predicted reduced adiponectin (inflammation). Zonulin was significantly higher (p<0.05) in hypertensive subjects and positively associated (p<0.05) with systolic blood pressure (SBP) in females. A positive relationship (p<0.05) was observed between zonulin and measurements of obesity. Moreover, zonulin negatively associated (p<0.05) with ADMA but positively associated (p<0.05) with NO in males. Increased VF and waist circumference predicted gut permeability.
CONCLUSION: Gut permeability was associated with hypertension and measures of obesity but not with markers of endothelial dysfunction in a South African youth population.

Introduction

Increased intestinal permeability has recently been proposed to be an integral element in the pathogenesis of obesity and metabolic syndrome inclusive of hypertension1–3. Increased gut permeability, also known as hyper-permeable intestines or “leaky gut” is a condition whereby disassembly of tight junction protein results in increased porosity of intestinal paracellular pathway4,5. The tight junctions are made up of transmembrane proteins which include claudins, occludins, angulins, tricellulin and junctional adhesion molecules (JAM) 6–8. These proteins interact between themselves and with intracellular scaffolding proteins including zonula occludens (ZOs) which are found anchored in the cytoskeleton of the cell. Interaction between these proteins and ZOs anchor maintain the integrity of the tight junction and also control the passage of molecules across the intestine9. Disruption of this barrier results in increased intestinal permeability and leakage of gut bacteria and bacterial products into the blood stream. Circulating bacterial products such as lipopolysaccharide (LPS) stimulate the synthesis of zonulin from the intestine and liver thus increasing its concentration in blood9. As such, zonulin is considered the main physiological regulator of mucosal permeability and biomarker for gut permeability since it is capable of causing tight junction disassembly10. Seepage of bacterial substances into the circulation results in immune cell recruitment and activation leading to the release of pro-inflammatory cytokines such as interleukin (IL)-1B, IL-12, IL-6 and TNF-α, all of which promote and accelerate systemic inflammation9.

Inflammation is accompanied by oxidative stress, uncoupling of endothelial nitric oxide synthase (eNOS), reduced nitric (NO) bioavailability and reduced adiponectin, all of which contribute to endothelial dysfunction 11–13. Adiponectin is known to possess vasculoprotective effects via its anti-obesity and anti-inflammatory effects but it remains unknown how it is affected by gut permeability. Hypoadiponectinaemia is considered an independent risk factor of endothelial dysfunction and hypertension14. Reduced plasma adiponectin promotes the synthesis of arginase, an enzyme in the vasculature that inhibits the production of NO by competing with eNOS for the substrate L-arginine15, 16, thereby leading to endothelial dysfunction which is an early predictor of cardiovascular diseases.27 Additionally, asymmetric dimethylarginine (ADMA) is an endogenous inhibitor of eNOS18 and is increased in conditions associated with endothelial dysfunction such as dyslipidaemia, 19 insulin resistance,20 diabetes mellitus,21 and hypertension22, 23. As such, ADMA is now used as a marker for endothelial dysfunction and a risk factor for cardiovascular disease24.

Several factors such as altered gastrointestinal tract peristalsis, antibiotic use, radiation, psychological and physical stress, and dietary changes,25 as well as obesity26 are known causes of gut permeability. As explained above, gut permeability may contribute to endothelial dysfunction and hypertension through systemic inflammation and oxidative stress. Additionally, it is postulated that hypertension may also be a factor that promotes and exacerbates gut permeability. A previous study suggested that increased sympathetic drive which plays a central role in hypertension is associated with increased gut wall permeability and increased inflammatory status27. Another study demonstrated a link between gut microbiota dysbiosis and increased gut permeability and inflammation in patients with pulmonary arterial hypertension28. Altogether, these and other studies support an integrated role played by obesity, gut permeability and endothelial dysfunction in the pathogenesis of hypertension.

Hypertension is a global health issue that contributes to the burden of cardiovascular diseases (CVDs). Approximately 1.13 billion people worldwide are hypertensive, with about two-thirds living in low- and middle-income countries29 and it is projected that 1.5 billion adults will be hypertensive in the next coming years30. The increasing prevalence of hypertension especially in developing countries like South Africa is of concern. In 2017, about 35.1% of South Africans were hypertensive31 while in the Eastern Cape province of South Africa hypertension is the second leading cause of death after diabetes32. With this increasing prevalence of hypertension, it is imperative to investigate the contribution of gut health in the form of gut permeability as well as endothelial dysfunction in this population. Though previous studies have shown a positive association between zonulin, blood pressure and measures of obesity,33, 34 such findings are yet to be established in an African population of young, apparently healthy adults. More so, the relationship between gut permeability and endothelial dysfunction has not been addressed. Hence, this study was aimed to assess the relationship between hypertension, measures of obesity, gut permeability and endothelial dysfunction in a South African population.

Materials and methods

Study design and population

This was a cross-sectional quantitative study which enrolled 151 (77 females and 74 males) apparently healthy students age 18–25-year-old at Walter Sisulu University, Mthatha, Eastern Cape Province of South Africa.

Ethical consideration

The study was conducted in accordance with the guidelines of the Helsinki Declaration (2008 reviewed version) as well as local and national regulations in South Africa. Ethical approval was obtained from the Faculty of Health Sciences Research Ethics Committee of Walter Sisulu University with approval number: [051/2019] on the 26 of June 2019. After careful explanation of the purpose and aim of the study, written informed consent was obtained from each volunteering student before enrolment into the study. The study adhered to the standards of reporting and the identity of the participants was kept confidential in accordance with the National Data Protection Acts. There were no important changes in the methods after study commencement.

Inclusion/Exclusion criteria

Registered students both male and female of Walter Sisulu University aged 18–25 years were recruited for the study. Students with any history of allergies to gluten or on a gluten-free diet, pregnant, lactating or on medications such as antidepressants, caffeine or hormonal birth control pills were excluded from the study.

Anthropometric measurements

Anthropometric measurements were performed in accordance with the International Standards for Anthropometric Assessments35 on all participants. Participants' waist circumference (WC) was measured at the approximate mid-point between the lower margin of the last palpable rib and the top of the iliac crest using an anthropometric tape in centimetres (cm). Height was measured using a wall-mounted stadiometer (Electronic body scale TCS-200-RT, Ningbo, China) and recorded to the nearest 0.1cm. Body composition was assessed using the Omron bioimpedance scale (Omron BF500, Omron Healthcare Inc., Illinois, USA) which measured weight (kg), body mass index (BMI) in kg/m2, visceral fat (VF%) and skeletal muscle fat (SMF%).

Blood pressure measurements

Participants were asked to sit in an upright position and remove any clothing that was tight on their left arm. After resting for at least 10 minutes, a cuff connected to an automatic Omron M3 sphygmomanometer (HBP-1100; Omron Healthcare Co. Ltd., Illinois, USA) was placed around the participants left arm and was switched on to measure their systolic blood pressure (SBP) and diastolic blood pressure (SBP) in millimetres mercury (mm Hg) and heart rate (bpm). To ensure accuracy of the readings, three measurements were taken, the average determined and classified as hypertension when SBP ≥140mmHg and/or DBP≥ 90 mmHg, pre-hypertension when SBP is between 120 and 139 mmHg and/or DBP is between 80 and 90 mmHg while SBP< 120 and DBP<80 was considered as normal36.

Blood collection and biochemical analysis

Five millilitres (5ml) of blood was collected into ethylenediaminetetraacetic acid (EDTA) tubes and was centrifuged (Eppendorf 5810 R) for 15 minutes at 1000×g to obtain plasma. The plasma was used to quantify ADMA and NO which are markers for endothelial function, zonulin, a marker for gut permeability and adiponectin. Zonulin, ADMA and adiponectin were measured using enzyme-linked immunosorbent assay (ELISA) kits (Elabscience® USA with catalogues E-EL-H5560, E-EL-0042, E-CL-H0004 respectively) according to manufacturers' protocol. Griess reagent was used to measure NO indirectly as nitrite in plasma as previously described37.

Statistical analyses

Data was analysed using GraphPad Prism version 5. The data was presented as mean ± standard error of the mean (S.E.M). Analysis of variance (ANOVA) was used to compare mean differences of continuous variables between normotensive, pre-hypertensive and hypertensive subjects. Two-way ANOVA was used to compare mean differences of continuous variables between males and females. Pearson correlation was used to determine the relationship of gut permeability with measures of endothelial function, obesity, and blood pressure. Multivariate linear regression analysis was done to assess predictors of inflammation, gut permeability and endothelial function. A p-value ≤0.05 was considered to be statistically significant.

Results

Prevalence of pre-hypertension and hypertension

Among the 151 study participants, approximately eighteen percent (17.88%) were hypertensive while 40.4% were pre-hypertensive. The prevalence of hypertension was higher in males (21.62%) than in females (14.29%). A similar trend was observed for pre-hypertension as the prevalence was higher in males (48.64%) than females (32.46%). Results are summarised in Table 1.

Table 1

Prevalence of pre-hypertension and hypertension

Gender	Population size	NT	Pre-HPT	HPT
	n	n (%)	n (%)	n (%)
Female	77	41 (53.25)	25 (32.46)	11 (14.29)
Male	74	28 (37.84)	36(48.64)	16 (21.62)
Cohort	151	69 (45.60)	61 (40.40)	27 (17.88)

Note: n: number of participants; NT: Normotensive; Pre-HPT; Pre-hypertensive; HPT: Hypertensive

Population characteristics

The study population was grouped as hypertensive and pre-hypertensive, and compared to normotensive subjects. Anthropometric and obesity measures including weight, BMI, WC and VF% were significantly (p<0.05) higher in hypertensive subjects compared to pre-hypertensive and normotensive subjects. Similarly, the SBP and DBP were significantly (p<0.001) higher in hypertensive and pre-hypertensive participants compared to normotensive participants (Table 2).

Table 2

Characteristics of participants based on blood pressure

Characteristics	NT	Pre-HPT	HPT
	(n=63)	(n=61)	(n=27)
Age	21.9±0.3	22.1±0.2	22.2±0.3
Weight (kg)	63.7±1.6	66.9±2.1	74.9±3.5**
Height (m)	1.63±0.01	1.66±0.01	1.66±0.01
BMI (Kg/m2)	23.9±0.6	24.1±0.7	27.1±1.2*
VF (%)	4.6±0.3	5.7±0.4	8.0±1.1***
SMF (%)	29.0±1.2	29.7±1.1	30.9±1.9
WC (cm)	78.3±1.5	77.6±1.8	86.0±2.9*
DBP (mmHg)	72.1±0.7	79.9±0.8***	95.1±1.7***
SBP (mmHg)	108.7±0.9	123±1.0***	141.9±2.2***
HR (bpm)	73.5±1.5	72.4±1.6	74.5±2.4

Note: Data was presented as mean ± S.E.M; NT: Normotensive; Pre-HPT: Pre hypertensive; HPT: Hypertensive; BMI: Body Mass Index; VF: Visceral fat; SMF: Skeletal muscle fat; WC: Waist circumference; DBP: Diastolic blood pressure; SBP: Systolic blood pressure; HR: Heart rate

p<0.05

p<0.01

p<0.001 compared to NT

Effect of hypertension on endothelial function markers

The results of this study showed that ADMA concentration was similar in all groups and thus, showed no significant (p>0.05) difference between hypertensive, pre-hypertensive and normotensive participants in the cohort population as well as among males and females (Figure 1). Moreover, though NO was not significantly (p>0.05) different between hypertensive, pre-hypertensive and normotensive participants in the cohort as well as among males, it was significantly higher (p<0.05) in hypertensive females than in normotensive and pre-hypertensive females (Figure 2).

Figure 1

Comparison of ADMA in hypertensive, pre-hypertensive and normotensive participants. Data was presented as mean± S.E.M. ADMA: Asymmetric dimethylarginine; NT: Normotensive; Pre-HPT: Prehypertensive; HPT: Hypertensive; F: Females; M: Males;

Figure 2

Comparison of nitric oxide in hypertensive, pre-hypertensive and normotensive participants. Data was presented as mean± S.E.M. NO: Nitric oxide; NT: Normotensive; Pre-HPT: Pre-hypertensive; HPT: Hypertensive; F: Females; M: Males; *p<0.05

Effect of hypertension on gut permeability

Zonulin concentration was significantly (p<0.05) higher in hypertensive participants in the cohort as well as in males compared to normotensive and pre-hypertensive participants. Though zonulin concentration was not significantly (p=0.055) different in hypertensive females, it showed a trend towards a higher level compared to normotensive and pre-hypertensive females (Figure 3).

Figure 3

Comparison of plasma zonulin concentration in hypertensive, pre-hypertensive and normotensive participants. Data was presented as mean± S.E.M. NT: Normotensive; Pre-HPT: Pre hypertensive; HPT: Hypertensive; F: Females; M: Males; *p<0.05 compared to NT.

Effect of hypertension on plasma adiponectin

Adiponectin (ADP) was significantly (p<0.001) lower in hypertensive compared to pre-hypertensive and normotensive participants in the cohort. Similarly, both hypertensive males and females had a significantly (p<0.01) lower lever of adiponectin compared to their pre-hypertensive and normotensive counterparts (Figure 4).

Figure 4

Comparison of plasma adiponectin (ADP) concentration in hypertensive, pre-hypertensive and normotensive participants. Data was presented as mean± S.E.M. NT: Normotensive; Pre-HPT: Pre hypertensive; HPT: Hypertensive; F: Females; M: Males; **p<0.01; ***p<0.001 compared to NT.

Relationship of adiponectin with blood pressure, endothelial function and body composition

Adiponectin (ADP) negatively correlated (p<0.001) with SBP in the cohort and in males and females, and also with DBP in the cohort and in males. Similarly, adiponectin negatively correlated (p<0.001) with measures of body composition (VF and BMI) in the cohort and in males and females as well as with WC in the cohort and females (Table 3).

Table 3

Correlation of adiponectin with blood pressure, endothelial function and body composition

Variable ADP vs.	Females		Males		Cohort
	r	p-value	r	p-value	r	p-value
DBP	-0.20	0.08	-0.22	0.05	-0.21	0.01
SBP	-0.28	0.01	-0.41	0.0003	-0.33	<0.0001
ADMA	0.16	0.17	0.02	0.84	0.09	0.26
NO	-0.04	0.72	0.03	0.80	-0.02	0.85
Zonulin	-0.20	0.09	0.06	0.59	-0.07	0.37
WC	-0.39	0.0004	-0.19	0.11	-0.31	<0.0001
VF	-0.39	0.0004	-0.35	0.002	-0.36	<0.0001
BMI	-0.44	<0.0001	-0.36	0.002	-0.4	<0.0001

Note: r: correlation coefficient; DBP: Diastolic blood pressure; SBP: Systolic blood pressure; ADMA: Asymmetrical dimethylarginine; NO: Nitric oxide; ADP: Adiponectin BMI: Body Mass Index; VF: Visceral fat; WC: Waist circumference

Relationship of endothelial function, measures of obesity and blood pressure with gut permeability

Zonulin positively correlated (p<0.05) with SBP in females. A significant (p<0.05) negative correlation was observed between zonulin and ADMA in the cohort as well as in males and females while a significant (p<0.05) positive correlation was observed between zonulin and NO in males and study cohort. A positive correlation p<0.05) was also found between zonulin and anthropometric measurements (WC, BMI and VF) in females and cohort while there was no correlation (p>0.05) between anthropometric measurements in males. There was no correlation (p>0.05) between zonulin and adiponectin in the cohort as well as in males and females (Table 4).

Table 4

Correlation of gut permeability with blood pressure, endothelial function, adiponectin and body composition

Variable: Zonulin vs.	Females		Males		Cohort
	r	p-value	r	p-value	r	p-value
DBP	0.10	0.40	0.08	0.5	0.08	0.3
SBP	0.22	0.05	0.06	0.61	-0.09	0.29
ADMA	-0.28	0.01	-0.40	0.0004	-0.33	<0.0001
NO	0.19	0.09	0.37	0.0013	0.26	0.001
ADP	-0.02	0.09	0.06	0.59	-0.07	0.37
WC	0.29	0.01	0.06	0.61	0.14	0.09
VF	0.48	<0.0001	-0.02	0.84	0.20	0.01
BMI	0.38	0.0007	-0.02	0.84	0.20	0.01

Note: r: correlation coefficient; DBP: Diastolic blood pressure; SBP: Systolic blood pressure; ADMA: Asymmetrical dimethylarginine; NO: Nitric oxide; ADP: Adiponectin BMI: Body Mass Index; VF%: Visceral fat; WC: Waist circumference.

Predictors of inflammation, gut permeability and endothelial dysfunction

Adjusted linear regression analysis of a fitted model (F=26.012; p<0.001) for the relationship between adiponectin with measures of obesity, gut permeability and endothelial function showed increased visceral fat to predict inflammation; that is, reduced adiponectin (R2= 0.15, Adj.R2= 0.145; p<0.001) in the cohort. In males, a fitted model (F=16.086; p<0.001) showed increased BMI to predict inflammation (R2= 0.183, Adj. R2= 0.171; p<0.001) while in females, a fitted model (F=9.766; p<0.001) showed increased visceral fat to predict inflammation (R2= 0.213, Adj.R2= 0.192; p<0.001). Results are summarized in Table 5.

Table 5

Regression analysis of adiponectin with blood pressure, endothelial function and body composition

Variable ADP vs.	Females		Males		Cohort
	B	p-value	B	p-value	B	p-value
DBP	-0.044	0.688	-0.017	0.877	-0.029	0.706
SBP	-0.145	0.179	0.095	0.378	-0.040	0.602
ADMA	-0.103	0.355	0.161	0.131	0.020	0.795
NO	0.112	0.305	0.075	0.487	0.073	0.338
Zonulin	-0.016	0.895	-0.004	0.973	-0.040	0.599
WC	-0.157	0.287	0.109	0.470	-0.098	0.315
VF	-4.452	<0.001	-0.157	0.621	-2.845	<0.001
BMI	-0.078	0.646	-2.044	<0.001	-0.142	0.198

Note: B: regression coefficient; DBP: Diastolic blood pressure; SBP: Systolic blood pressure; ADMA: Asymmetrical dimethylarginine; NO: Nitric oxide; ADP: Adiponectin BMI: Body Mass Index; VF: Visceral fat; WC: Waist circumference.

Also, adjusted linear regression analysis of a fitted model (F=4.212; p=0.017) for the relationship between zonulin with measures of obesity, inflammation and endothelial function showed reduced DBP and increased waist circumference to predict gut permeability (R2= 0.055, Adj.R2= 0.042; p<0.05) in the cohort. In females, a fitted model (F=9.469; p<0.001) showed reduced DBP and increased visceral fat to predict gut permeability (R2= 0.208, Adj.R2= 0.186; p<0.05) in females. However, in males, an unfitted model (F=0.78, p=0.677) showed no parameter to predict gut permeability (R2= 0.145, Adj.R2= -0.041; p>0.05). Results are summarised in Table 6.

Table 6

Regression of gut permeability with blood pressure, endothelial function, adiponectin and body composition

Variable: Zonulin vs.	Females		Males		Cohort
	B	p-value	B	p-value	B	p-value
DBP	-1.865	0.047	-3.39	0.087	-1.778	0.032
SBP	0.086	0.543	1.516	0.241	0.154	0.154
ADMA	-0.096	0.378	0.021	0.863	-0.005	0.954
NO	-0.176	0.095	0.662	0.721	-0.016	0.841
ADP	-0.026	0.818	-0.566	0.488	-0.080	0.327
WC	0.074	0.606	0.630	0.733	1.239	0.049
VF	17.544	<0.001	-7.46	0.533	0.090	0.268
BMI	-0.071	0.670	4.174	0.777	0.133	0.102

Note: B: Regression coefficient; DBP: Diastolic blood pressure; SBP: Systolic blood pressure; ADMA: Asymmetrical dimethylarginine; NO: Nitric oxide; ADP: Adiponectin BMI: Body Mass Index; VF%: Visceral fat; WC: Waist circumference.

Discussion

Hypertension is a non-communicable disease which is associated with high morbidity and mortality. It is a silent threat to the health of people all over the world, with over one-third of the world's population affected38. Developing countries such as South Africa are faced with a growing burden of non-communicable and communicable diseases39. In this present study, 17.88% of the study population were hypertensive while 40.4% were pre-hypertensive. This finding is in line with a previous study in South Africa which showed high prevalence of hypertension as well as pre-hypertension40. The prevalence of pre-hypertension and hypertension were higher compared to a cohort study in learners <18-year-old in KwaZulu-Natal, South Africa, which showed a prevalence of 29.7% for pre-hypertension and 13.7% for hypertension41. Also, our findings showed that males were more pre-hypertensive and hypertensive than females despite having a lower BMI and WC which are measures of obesity. This finding concurs with a previous study done in Mthatha which showed similar results where the gender-specific prevalence of pre-hypertension/hypertension was higher in males (76.7%) compared to females (30.5%)40. These gender disparities may be linked to factors such as alcohol consumption, stress, biological metabolic differences, smoking, dietary intake and/or physical inactivity as previously reported42. Also, caffeine intake, drug abuse, awareness of hypertension and visiting of health facility could also be responsible for the gender difference in hypertensions previously reported43. These parameters were not used as exclusion criteria in the current study and may, therefore, play a role in the observed differences.

Recently, hypertension has been shown to be associated with increase gut permeability in humans27. Zonulin, a marker of impaired intestinal barrier, is one of the measurable physiological proteins that reflect gut permeability34. Indeed, gut permeability, as indicated by zonulin, has been associated with hypertension44. Findings in this study showed gut permeability to be associated with hypertension as zonulin level was higher in hypertensive subjects compared to normotensive subjects, especially in males. More so, there was a positive correlation between zonulin and systolic blood pressure in females. Gut permeability has previously been shown to be associated with obesity34. In this study, waist circumference, body mass index and visceral fat which are all measures of obesity were associated with zonulin and predicted gut permeability confirming previous findings which showed a relationship between zonulin and obesity in children45 and in adults46. These findings suggest that hypertension and obesity are associated with gut permeability.

Gut permeability is commonly associated with inflammation. This is as a result of alterations in the composition of microbiota (microbial dysbiosis) by high-fat diet and obesity which disrupts the tight junctions of the intestinal mucosa5. This leads to increase seepage of bacteria and bacterial components such as lipopolysaccharide (LPS) across the intestinal mucosa into the blood stream causing endotoxemia9. The high endotoxin level in blood leads to the release of pro-inflammatory cytokines including interleukin (IL)-1B, IL-12, IL-6 and TNF-α causing systemic inflammation6. Additionally, high circulating levels of pro-inflammatory cytokines also contribute to intestinal junction disassembly and gut permeability9. Adiponectin is an anti-inflammatory molecule which is expressed at high levels by lean healthy individuals47. Findings in this study showed no association between adiponectin and gut permeability. Also, reduced level of adiponectin has been observed in hypertension48 and obesity49. In this study, adiponectin was significantly lower in hypertensive subjects and negatively associated with SBP and DBP.

Also, adiponectin negatively associated with measures of obesity; WC, BMI and VF. More so, increased BMI and VC were shown to predict reduced adiponectin, thus, obesity to predict inflammation. These findings confirm previous reports which showed low levels of adiponectin to be associated with obesity50 and hypertension51. Adiponectin is known to possess vasculoprotective effects and therefore, hypoadiponectinaemia is considered an independent risk factor for endothelial dysfunction52. In this present study, adiponectin was not associated with markers of endothelial dysfunction.

Though previous studies have shown positive association between zonulin, blood pressure and body composition33, 34 as confirmed in this study, the relationship between gut permeability and endothelial dysfunction has not been addressed. Endothelial dysfunction is characterized by an imbalance in vasodilators and vasoconstrictrs of the endothelium53. Normally, the endothelium plays a protective role in blood vessels in reducing shear stress exerted by blood flow through the production of NO, a vasodilator that dilates the blood vessel reducing the stress54. Thus, reduced level of NO leads to endothelial dysfunction. Asymmetrical dimethylarginine (ADMA) on the other hand is a natural occurring product of protein metabolism found in the human circulatory system that acts as an inhibitor of NO synthesis. It acts by competing with arginine for nitric oxide synthase thereby inhibiting the synthesis of NO24. As such, increased ADMA levels are associated with reduced NO leading to endothelial dysfunction. Studies have shown an inverse relationship between ADMA and NO55, 56. Since endothelial dysfunction is associated with hypertension57, ADMA and low NO are potential risk factors for hypertension. Therefore, in hypertensive individuals, a high ADMA:NO ratio is expected with high circulating ADMA and low NO. Findings in this study showed no significant difference in ADMA concentrations between hypertensive and normotensive subjects. Contrary to expectations, NO was higher in hypertensive females compared to their normotensive counterparts. These findings do not suggest an association between hypertension and endothelial dysfunction which is contrary to already existing fact that hypertension is associated with endothelial dysfunction. This could be attributed to the age of the study participants who are young adults who were apparently healthy without any clinical manifestation of hypertension.

Gut permeability has been shown to be associated with inflammation10. During inflammation, pro-inflammatory cytokines such as TNF-α and IL-6 are released which contribute to vascular dysfunction58, 59. We therefore hypothesised that gut permeability may be associated with endothelial dysfunction implying that increased zonulin should be associated with reduced NO or increased ADMA levels which are characteristic of endothelial dysfunction. Findings in this study showed zonulin to be associated negatively with ADMA and positively with NO possibly indicating that gut permeability may improve endothelial function. These findings are contrary to our expectations because gut permeability which is an intestinal damage cannot promote vascular function. We therefore resolve to suggest that though gut permeability was not associated with endothelial dysfunction, it may not affect endothelial function. The possible explanation for this observation may be due to oxidative stress that results from inflammation in hypertensives60. Inflammatory cells generate free radicals and promote oxidative stress. Oxidative stress has been shown to up-regulate inducible NOS (iNOS) thereby leading to increase NO level60. This study is the first study to investigate the relationship between gut permeability and endothelial dysfunction in an African population of young adults. Therefore, further studies are needed to better establish these relationships and corroborate the observations made in this study. In this study, allergic pathologies were not assessed as an exclusion factor which may be a limitation since that can affect gut permeability.

Conclusion

Gut permeability was associated with hypertension and measures of obesity but was not associated with endothelial dysfunction in a South African youth population. Adiponectin, an anti-inflammatory molecule was not associated with gut permeability and endothelial dysfunction. Hypertension was not associated with endothelial dysfunction although it was associated with reduced adiponectin. The association of hypertension as well as measures of obesity with gut permeability suggest that South African youths in this population may be at risk to diseases associated to gut permeability including inflammatory diseases (CID), allergic, autoimmune, metabolic diseases. This preliminary study serves as the basis for understanding the role of hypertension in gut permeability which is of public health concern. Further longitudinal studies may be needed to ascertain this finding.