Literature DB >> 35321099

Association Between Serum Aldehydes and Hypertension in Adults: A Cross-Sectional Analysis of the National Health and Nutrition Examination Survey.

Yongjian Zhu1, Mingjing Liu2, Wanrong Fu1, Yacong Bo3.   

Abstract

Background: Exposure to ambient pollutants and chemicals were found to be associated with increased risk of hypertension. However, the relationship between the increased aldehyde exposure and hypertension are still unclear. This study aimed to investigate the potential associations of serum aldehydes levels with prevalent hypertension.
Methods: A total of 1,733 U.S. adults with data on hypertension outcome and serum aldehydes measurement from the National Health and Nutrition Examination Survey 2013-2014 were included. The serum levels of aldehydes were measured via an automated analytical method using solid phase microextraction gas chromatography and high-resolution mass spectrometry. Multivariate logistic regression models were adopted to assess the associations between six selected aldehydes exposure (benzaldehyde, butyraldehyde, heptanaldehyde, hexanaldehyde, isopentanaldehyde, and propanaldehyde) and prevalence of hypertension.
Results: The mean age was 48.0 ± 16.7 years and an approximately equivalent of sex distribution was observed (female 49.9%). There seems to be a numerically higher level of hexanaldehyde in participants with hypertension when compared to participants without hypertension (2.6 ± 3.9 ng/mL vs. 2.3 ± 1.1 ng/mL). After adjusting for potential confounders, the odds ratio (OR) for hypertension was 2.15 [95% confidence interval (CI): 1.33-3.51] in participants from the highest quartile of serum hexanaldehyde concentration in comparison to those from the lowest quartile. Subgroup analyses and sensitivity analyses showed generally similar results.
Conclusion: In summary, current evidence suggested that increased serum hexanaldehyde level was positively associated with prevalent hypertension in U.S. adults.
Copyright © 2022 Zhu, Liu, Fu and Bo.

Entities:  

Keywords:  adults; aldehydes; cross-sectional; hexanaldehyde; hypertension

Year:  2022        PMID: 35321099      PMCID: PMC8934859          DOI: 10.3389/fcvm.2022.813244

Source DB:  PubMed          Journal:  Front Cardiovasc Med        ISSN: 2297-055X


Introduction

Hypertension is known to affect approximately one third of the world's adult population (1). As one of the most important risk factors for cardiovascular diseases and all-cause mortality (2), an estimated more than 7 million annual deaths are attributed to hypertension (3, 4). Epidemiological studies suggested that both genetic and environmental factors contribute to the development of this disorder. Cumulative evidences demonstrated that lifestyle interventions on modifiable risk factors of hypertension including obesity, dietary intakes, smoking, alcohol drinking, and physical activity, have been recognized as effective methods to reduce the morbidity and mortality (5–10). In recent years, exposure to certain ambient pollutants and chemicals were also found to be associated with increased risk of hypertension (11, 12). Aldehydes are electrophilic organic compounds which include a number of particular components (13). The natural sources of aldehydes are various. Apart from aldehydes derived from environmental or occupational exposure, aldehydes are also generated by food heating and endogenous enzyme-dependent oxidation (14). In human, biogenic aldehydes are mainly from the peroxidation of sugars and lipids. In the past, the adverse health effects of aldehydes exposure and established diseases have been preliminarily investigated. Accumulation of aldehydes in the body aggregates the oxidative stress and covalent modification of protein, and were involved in the pathophysiology of aging related conditions including tumors, chronic liver and kidney diseases, and Alzheimer's disease (14–16). Under high levels of lipid and glucose oxidation, the cardiovascular systems are susceptible to the effects of endogenous aldehydes (17). Acrolein exposure has been shown to promote the development of systemic dyslipidemia, atherosclerosis and thrombosis (18). Serum acrolein and isopentanaldehyde levels were also demostrated to be positively associated with increased risk of cardiovascular diseases (19–21). However, the relationship between the serum levels of aldehydes and risk of hypertension is still unclear. Therefore, based on data from the National Health and Nutrition Examination Survey (NHANES), this study was conducted to investigate the potential associations of serum aldehydes levels with prevalent hypertension in the U.S. adults.

Methods

Study Population

NHANES has been conducted continuously since 1999 by the National Center for Health Statistics (NCHS) at the Centers for Disease Control and Prevention (CDC), which originated from the National Health Survey Act of 1956. This program aims to provide statistical information on the health and nutritional status of representative population in the U.S. by the means of a multistage, probability sampling survey. Data collecting was performed using household interviews, self-reported questionnaire, physical examinations, and laboratory test. The NHANES data could be publicly accessed from the internet (https://www.cdc.gov/nchs/nhanes/index.htm). In this study, we initially included participants enrolled in 2013–2014 when aldehydes measurements were available (n = 10,175). Among them, 4,406 individuals aged <20 years old and 795 individuals with pregnant or unmeasured blood pressure were excluded. We further excluded 3,241 individuals because the levels of serum aldehydes were not analyzed. As a result, a total of 1,733 individuals were included in the final analysis. The flowchart of participants selection was shown in Figure 1. The NHANES protocol was approved by the NCHS Institutional Review Committee. All the participants provided written informed consent to authorize the use of data.
Figure 1

Flowchart of participant selection.

Flowchart of participant selection.

Study Outcome

Blood pressure (BP) was measured by trained investigators using a standardized protocol. Before BP measurements in the mobile examination center, all participants were asked to rest quietly in a seated position for 5 min. Three consecutive blood pressure readings were obtained when the participants maximum inflation level had been determined. The mean values of the three readings was used to calculate the average BP. Participants were diagnosed as having hypertension if the average SBP was ≥ 140 mm Hg, or the average DBP ≥ 90 mm Hg, or their answer to the question “Are you now taking prescribed medicine for high blood pressure?” was “yes”.

Serum Aldehyde Measurement

Blood samples were collected in specially designed tubes and serum was separated using a microcentrifuge. Serum aldehydes were measured in a randomly selected one-third subsample of participants 12 years and older. Given that aldehydes tend to react with biological molecules to form various organic compounds including Schiff base protein adducts, free aldehydes that released into the headspace of biological samples from the Schiff base protein adducts at low pH (~3) were analyzed. The serum levels of aldehydes were measured via an automated analytical method using solid phase microextraction (SPME) gas chromatography (GC) and high-resolution mass spectrometry (HRMS). A detailed description regarding blood specimen sampling and detection procedures has been published elsewhere (22, 23). In human serum from NHANES, this analytical method quantitatively detects trace levels of 12 aldehydes (pentanaldehyde, propanaldehyde, octanaldehyde, o-toluenaldehyde, non-analdehyde, isopentanaldehyde, heptanaldehyde, hexanaldehyde, decanaldehyde, crotonaldehyde, benzaldehyde, and butyraldehyde). Among the group of 12 aldehydes, we selected 6 kinds of aldehydes which were detectable in more than 80% of NHANES participants, including benzaldehyde, butyraldehyde, heptanaldehyde, hexanaldehyde, isopentanaldehyde, and propanaldehyde. Values below the detection limit (LOD) of each aldehydes was replaced with the LOD divided by the square root of 2.

Covariates

Covariates related to exposure or outcome were obtained and controlled in multivariate logistic regression. They were age, sex (male, female), race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, non-Hispanic Asian, and other), body mass index (BMI), educational level (lower than high school, high school graduate or general equivalency diploma, some college or associate degree, and bachelor' s degree or above), self-reported history of cardiovascular diseases (congestive heart failure, coronary heart disease, angina/angina pectoris, heart attack, or stroke), diabetes status (self-reported diagnosis by a healthcare provider), smoking status (current, former, or never), alcohol use (yes or no), ratio of family income to poverty (≤1, 1–3, >3), and physical activity (inactive, insufficiently active, active). BMI was calculated as weight in kilograms divided by height in meters squared. Alcohol drinkers were defined as who consumed at least 12 drinks in the last 12 months. One drink was defined for NHANES participants as 12 ounces of beer, a 5-ounce glass of wine, or 1.5 ounces of liquor. Physical activity was classed to active group [defined as the product of the metabolic equivalent value (MET = 1 kcal/h per kilometer body weight) of 7.5 or more], insufficiently active group (defined as the product of the MET value ranging from 3.75 to 7.5), and inactive group (defined as the product of the MET value <3.75).

Statistical Analysis

Continuous variables are summarized as the mean with standard deviation (SD), and categorical variables as the number with percentage. The serum levels of aldehydes were divided into quartiles using the lowest quartile as the reference group. Multivariate logistic regression models were adopted to evaluate the associations between aldehydes exposure and hypertension. Three models were developed to gradually adjust the confounders: model 1 was adjusted for age and sex; model 2 was further adjusted for education level, race, smoking, alcohol use, poverty income ratio, and physical activity; model 3 was further adjusted for BMI, diabetes, and cardiovascular disease. The shape of the concentration–response relationship between Aldehydes and hypertension were evaluated using generalized additive models through spline function. Subgroup analyses were conducted to investigate whether these associations were modified by age, sex, education level, race, physical activity, alcohol use, smoking, diabetes, cardiovascular disease, and BMI. Additionally, two sensitivity analyses were conducted to further evaluate the robustness of study findings: (1) restricted to participants free of diabetes and cardiovascular disease; (2) used an alternative cut-off value of 130/80 mm Hg to define hypertension according to the 2017 AHA/ACA blood pressure guideline; (3) including participants aged 18–20 years old; (4) excluding participants reporting extreme total energy intakes (<850 or >4,000 kcal/day) (24) or currently breastfeeding a baby; (5) further adjusting for total energy intake and marital status. All statistical analyses were conducted using R version 4.0.2 (R Foundation for Statistical Computing, Vienna, Austria). A two-sided P-value of 0.05 or less was considered statistically significant.

Results

Population Characteristics

Table 1 showed the general characteristics of study population. The mean age was 48.0 ± 16.7 years and an approximately equivalent of sex distribution was noted (female 49.9%, male 50.1%). The Non-Hispanic White was the most common ethnic type (49.1%). The prevalence of hypertension in included participants was 18.3%. Compared to individuals without hypertension, those with hypertension seem to be older, more likely to be Hispanic, drinkers. Additionally, the trends of a higher proportion of cardiovascular disease, inactive exercise, higher level of BMI and hexanaldehyde were also observed in individuals with hypertension.
Table 1

Characteristics of participants in NHANES 2013–2014.

Characteristics Total Non-hypertension Hypertension P
(n = 1,733) (n = 1,416) (n = 317)
Age (years)48.0 ± 16.745.2 ± 16.060.7 ± 13.3<0.001
Sex 0.923
Female865 (49.9%)706 (49.9%)159 (50.2%)
Male868 (50.1%)710 (50.1%)158 (49.8%)
Race <0.001
Hispanic351 (20.3%)303 (21.4%)48 (15.1%)
Non-Hispanic White850 (49.1%)703 (49.7%)147 (46.4%)
Non-Hispanic Black318 (18.4%)229 (16.2%)89 (28.1%)
Non-Hispanic Asian155 (8.9%)131 (9.3%)24 (7.6%)
Other Race—Including Multi-Racial59 (3.4%)50 (3.5%)9 (2.8%)
Education level 0.708
< High school388 (22.4%)309 (21.8%)79 (24.9%)
High school graduate or general equivalency diploma408 (23.5%)333 (23.5%)75 (23.7%)
Some college or associate degree555 (32.0%)455 (32.1%)100 (31.6%)
≥Bachelor' s degree381 (22.0%)318 (22.5%)63 (19.9%)
Unknown1 (0.1%)1 (0.1%)0 (0%)
Drinking 0.001
Yes250 (14.4%)183 (12.9%)67 (21.1%)
No1,171 (67.6%)979 (69.1%)192 (60.6%)
Missing312 (18.0%)254 (17.9%)58 (18.3%)
Smoking 0.235
Never694 (40.1%)577 (40.8%)117 (36.9%)
Former309 (17.8%)243 (17.2%)66 (20.8%)
Current730 (42.1%)596 (42.1%)134 (42.3%)
Cardiovascular disease <0.001
No1,559 (90.0%)1,295 (91.5%)264 (83.3%)
Yes174 (10.0%)121 (8.6%)53 (16.7%)
Diabetes 0.153
No1,501 (86.6%)1,236 (87.3%)265 (83.6%)
Yes183 (10.6%)144 (10.2%)39 (12.3%)
Unknown49 (2.8%)36 (2.5%)13 (4.1%)
Ratio of family income to poverty 0.331
≤ 1413 (23.8%)343 (24.2%)70 (22.1%)
1–3633 (36.5%)510 (36.0%)123 (38.8%)
>3578 (33.4%)468 (33.1%)110 (34.7%)
Unknown109 (6.3%)95 (6.7%)14 (4.4%)
Exercise 0.001
Inactive755 (43.6%)591 (41.7%)164 (51.7%)
Insufficiently active95 (5.5%)72 (5.1%)23 (7.3%)
Active881 (50.8%)752 (53.1%)129 (40.7%)
Unknown2 (0.1%)1 (0.1%)1 (0.3%)
Body mass index (kg/m2)28.8 ± 6.928.6 ± 6.829.8 ± 7.40.003
Benzaldehyde (ng/mL)1.6 ± 1.81.6 ± 1.71.6 ± 2.40.570
Butyraldehyde (ng/mL)0.6 ± 0.50.6 ± 0.30.6 ± 1.00.055
Heptanaldehyde (ng/mL)0.5 ± 0.20.5 ± 0.20.5 ± 0.30.815
Hexanaldehyde (ng/mL)2.3 ± 1.92.3 ± 1.12.6 ± 3.90.005
Isopentanaldehyde (ng/mL)0.8 ± 0.60.8 ± 0.60.7 ± 0.50.092
Propanaldehyde (ng/mL)2.2 ± 1.12.2 ± 1.02.3 ± 1.40.368

Data are presented as mean with standard deviation, or number with percentage.

NHANES, National Health and Nutrition Examination Survey.

Characteristics of participants in NHANES 2013–2014. Data are presented as mean with standard deviation, or number with percentage. NHANES, National Health and Nutrition Examination Survey.

Associations Between Aldehydes and Hypertension

The serum concentrations of 6 selected aldehydes were shown in Table 1. There seems to be a numerically higher level of hexanaldehyde in participants with hypertension when compared to participants without hypertension (2.6 ± 3.9 vs. 2.3 ± 1.1 ng/mL). Table 2, Figure 2, and Supplementary Figure 1 summarized the associations of the quartiles of aldehydes with the odds of hypertension in three multivariate logistic regression models. After fully adjusting for demographic characteristics and other covariates (Model 3), the odds ratios (ORs) with 95% confidence intervals (CIs) for hypertension in participants from the highest quartile of serum aldehydes concentration were 0.77 (0.46–1.28), 1.35 (0.85–2.16), 1.07 (0.65–1.75), 2.15 (1.33–3.51), 1.09 (0.55–2.16), and 1.08 (0.65–1.79) for benzaldehyde, butyraldehyde, heptanaldehyde, hexanaldehyde, isopentanaldehyde, and propanaldehyde, respectively, in comparison to those with the lowest quartile. Among the 6 selected aldehydes, only serum hexanaldehyde was found to be significantly associated with hypertension in NHANES adults.
Table 2

Associations of selected aldehydes with odds of hypertension.

Aldehydes OR (95% CI) P trend
Q1 Q2 Q3 Q4
Benzaldehyde
Model 1Ref0.82 (0.55–1.22)0.70 (0.47–1.06)0.69 (0.45–1.03)0.052
Model 2Ref0.85 (0.53–1.36)0.78 (0.48–1.28)0.76 (0.46–1.23)0.242
Model 3Ref0.86 (0.53–1.39)0.83 (0.50–1.37)0.77 (0.46–1.28)0.318
Butyraldehyde
Model 1Ref1.19 (0.81–1.76)1.39 (0.94–2.06)1.40 (0.96–2.07)0.061
Model 2Ref1.21 (0.77–1.88)1.42 (0.90–2.23)1.37 (0.87–2.16)0.136
Model 3Ref1.13 (0.72–1.80)1.44 (0.91–2.29)1.35 (0.85–2.16)0.134
Heptanaldehyde
Model 1Ref1.04 (0.70–1.55)1.21 (0.81–1.81)0.94 (0.62–1.44)0.956
Model 2Ref1.05 (0.66–1.68)1.26 (0.79–2.00)1.04 (0.65–1.68)0.666
Model 3Ref1.06 (0.65–1.73)1.26 (0.78–2.03)1.07 (0.65–1.75)0.613
Hexanaldehyde
Model 1Ref1.37 (0.91–2.07)1.14 (0.75–1.74)1.77 (1.19–2.67)0.018
Model 2Ref1.63 (1.01–2.62)1.25 (0.77–2.03)2.20 (1.38–3.53)0.005
Model 3Ref1.69 (1.03–2.76)1.20 (0.73–1.99)2.15 (1.33–3.51)0.011
Isopentanaldehyde
Model 1Ref1.07 (0.73–1.58)1.28 (0.87–1.87)1.15 (0.77–1.73)0.324
Model 2Ref1.13 (0.72–1.79)1.35 (0.80–2.28)0.92 (0.47–1.78)0.925
Model 3Ref1.16 (0.73–1.88)1.52 (0.88–2.63)1.09 (0.55–2.16)0.552
Propanaldehyde
Model 1Ref0.83 (0.56–1.23)1.24 (0.85–1.81)1.11 (0.75–1.64)0.260
Model 2Ref0.89 (0.56–1.40)1.31 (0.83–2.08)1.11 (0.68–1.82)0.371
Model 3Ref0.87 (0.54–1.39)1.37 (0.86–2.18)1.08 (0.65–1.79)0.216

Model 1: adjusted for age and sex.

Model 2: further adjusted for education level, race, smoking, alcohol use, poverty income ratio, and physical activity.

Model 3: further adjusted for body mass index, diabetes, and cardiovascular disease.

OR, odd ratio; CI, confidence interval; Q, quartile.

Figure 2

Concentration-response curve of association between hexanaldehyde and hypertension.

Associations of selected aldehydes with odds of hypertension. Model 1: adjusted for age and sex. Model 2: further adjusted for education level, race, smoking, alcohol use, poverty income ratio, and physical activity. Model 3: further adjusted for body mass index, diabetes, and cardiovascular disease. OR, odd ratio; CI, confidence interval; Q, quartile. Concentration-response curve of association between hexanaldehyde and hypertension.

Subgroup Analyses

In subgroup analyses stratified by age, sex, education level, race, physical activity, alcohol use, smoking, diabetes, cardiovascular disease, and BMI, no significant interactions for the association between serum hexanaldehyde and the odds of hypertension were observed (Table 3). The subgroup analyses of the remaining 5 aldehydes were depicted in Supplementary Tables 1–5.
Table 3

Stratified analyses between hexanaldehyde and odds of hypertension.

Subgroups OR (95% CI) P trend P inter
Case/total Q1 Q2 Q3 Q4
Sex 0.676
Female159/865Ref2.12 (1.07–4.36)1.43 (0.69–3.01)1.94 (0.96–4.02)0.597
Male158/868Ref1.26 (0.60–2.67)1.17 (0.57–2.40)2.12 (1.07–4.27)0.033
Age (years) 0.760
<65178/1,397Ref1.34 (0.71–2.54)0.97 (0.50–1.89)2.22 (1.23–4.06)0.020
≥65139/336Ref1.58 (0.67–3.78)1.62 (0.70–3.80)1.94 (0.82–4.71)0.148
Education (years) 0.725
<13254/1,351Ref1.67 (0.95–2.95)0.97 (0.54–1.76)2.16 (1.25–3.78)0.035
≥1363/381Ref1.20 (0.40–3.65)1.63 (0.57–4.73)1.42 (0.48–4.22)0.424
Race 0.418
Hispanic48/351Ref2.02 (0.47–9.92)3.13 (0.70–16.25)2.55 (0.62–12.24)0.215
Non–Hispanic269/1,382Ref1.40 (0.83–2.38)1.14 (0.67–1.96)1.85 (1.11–3.13)0.048
Exercise 0.930
Inactive/insufficiently active187/850Ref1.72 (0.87–3.42)1.28 (0.65–2.53)2.11 (1.08–4.18)0.072
Active129/881Ref1.21 (0.57–2.55)1.09 (0.50–2.38)2.06 (1.01–4.25)0.063
Drinking 0.512
Never67/250Ref0.74 (0.24–2.29)0.53 (0.16–1.70)1.42 (0.48–4.33)0.615
Ever192/1,171Ref1.78 (1.01–3.19)1.49 (0.84–2.64)2.27 (1.30–4.04)0.012
Smoking 0.242
Never117/694Ref1.20 (0.52–2.83)1.12 (0.47–2.69)1.83 (0.82–4.19)0.163
Ever200/1,039Ref1.96 (1.06–3.66)1.23 (0.64–2.36)2.62 (1.43–4.88)0.012
Diabetes 0.896
No265/1,501Ref1.69 (1.00–2.88)1.13 (0.66–1.95)2.18 (1.30–3.68)0.018
Yes39/183Ref4.03 (0.42–47.04)1.26 (0.21–8.34)0.95 (0.10–8.89)0.842
Cardiovascular disease 0.686
No264/1,559Ref1.49 (0.88–2.54)0.95 (0.55–1.65)2.07 (1.24–3.50)0.031
Yes53/174Ref1.15 (0.21–6.22)4.90 (0.96–30.92)1.77 (0.33–10.09)0.252
Body mass index (kg/m 2 ) 0.295
<2579/538Ref0.82 (0.26–2.55)1.72 (0.60–5.04)0.92 (0.29–2.94)0.702
≥25236/1,183Ref1.74 (0.99–3.10)0.95 (0.52–1.75)2.49 (1.44–4.34)0.010

Covariates adjusted in the model are age, sex, education level, race, smoking, alcohol use, poverty income ratio, physical activity, body mass index, diabetes mellitus, and cardiovascular disease, when they were not the strata variables.

OR, odd ratio; CI, confidence interval; Q, quartile.

P.

P.

Stratified analyses between hexanaldehyde and odds of hypertension. Covariates adjusted in the model are age, sex, education level, race, smoking, alcohol use, poverty income ratio, physical activity, body mass index, diabetes mellitus, and cardiovascular disease, when they were not the strata variables. OR, odd ratio; CI, confidence interval; Q, quartile. P. P.

Sensitivity Analyses

After excluding participants with diabetes or cardiovascular disease (n = 304), the positive association between hexanaldehyde and the odds of hypertension was still significant (Table 4). A similar result was also found when using an updated 130/80 mm Hg to define hypertension in included participants. Likewise, the results from sensitivity analyses of the remaining five aldehydes did not significantly change when compared to main analyses.
Table 4

Sensitivity analysis of associations between selected aldehydes and odds of hypertension.

Aldehydes OR (95% CI) P trend
Q1 Q2 Q3 Q4
Restricted to participants free of diabetes and cardiovascular disease (n = 1,429)a
BenzaldehydeRef0.99 (0.57–1.72)0.80 (0.44–1.43)0.85 (0.47–1.52)0.478
ButyraldehydeRef1.19 (0.70–2.03)1.49 (0.87–2.54)1.41 (0.82–2.44)0.154
HeptanaldehydeRef1.24 (0.70–2.20)1.52 (0.86–2.70)1.45 (0.81–2.59)0.154
HexanaldehydeRef1.63 (0.94–2.83)0.93 (0.51–1.68)2.24 (1.30–3.91)0.028
IsopentanaldehydeRef1.07 (0.63–1.84)1.15 (0.61–2.15)1.21 (0.57–2.62)0.608
PropanaldehydeRef0.79 (0.45–1.38)1.56 (0.92–2.67)1.00 (0.55–1.82)0.433
Using 130/80 mm Hg to define hypertension (n = 1,733)b
BenzaldehydeRef0.87 (0.59–1.29)0.78 (0.52–1.18)0.66 (0.43–1.00)0.044
ButyraldehydeRef1.07 (0.74–1.55)1.41 (0.97–2.06)1.07 (0.73–1.57)0.454
HeptanaldehydeRef1.15 (0.77–1.70)1.31 (0.88–1.94)1.00 (0.67–1.48)0.855
HexanaldehydeRef1.27 (0.86–1.89)0.98 (0.66–1.45)1.60 (1.08–2.38)0.073
IsopentanaldehydeRef0.86 (0.58–1.26)1.05 (0.67–1.62)0.67 (0.39–1.15)0.253
PropanaldehydeRef1.15 (0.78–1.69)1.55 (1.06–2.28)1.09 (0.72–1.65)0.362
Included participants aged 18–20 years old (n = 1,830)
BenzaldehydeRef1.12 (0.68–1.84)1.31 (0.80–2.13)1.14 (0.69–1.88)0.508
ButyraldehydeRef1.14 (0.72–1.82)1.36 (0.85–2.18)1.28 (0.80–2.05)0.237
HeptanaldehydeRef1.12 (0.68–1.84)1.31 (0.80–2.13)1.14 (0.69–1.88)0.486
HexanaldehydeRef1.67 (1.02–2.76)1.22 (0.73–2.04)2.05 (1.25–3.38)0.021
IsopentanaldehydeRef1.08 (0.67–1.75)1.32 (0.76–2.28)0.94 (0.47–1.86)0.904
PropanaldehydeRef0.85 (0.52–1.38)1.43 (0.89–2.30)1.03 (0.62–1.73)0.453
Excluding participants reporting extreme total energy intakes or currently breastfeeding a baby (n = 1,569)
BenzaldehydeRef0.78 (0.46–1.32)0.60 (0.34–1.05)0.77 (0.45–1.33)0.254
ButyraldehydeRef1.23 (0.75–2.03)1.55 (0.94–2.58)1.59 (0.96–2.65)0.049
HeptanaldehydeRef1.27 (0.75–2.15)1.17 (0.70–1.96)1.06 (0.61–1.84)0.870
HexanaldehydeRef1.53 (0.90–2.63)1.34 (0.78–2.31)2.23 (1.32–3.81)0.007
IsopentanaldehydeRef1.11 (0.67–1.84)1.33 (0.75–2.38)1.05 (0.50–2.20)0.675
PropanaldehydeRef0.90 (0.54–1.49)1.39 (0.84–2.31)1.15 (0.66–2.01)0.330
Further adjusting for total energy intake and marital status (n = 1,733)
BenzaldehydeRef0.77 (0.46–1.26)0.77 (0.46–1.29)0.75 (0.45–1.25)0.295
ButyraldehydeRef1.08 (0.67–1.72)1.43 (0.90–2.30)1.35 (0.84–2.18)0.129
HeptanaldehydeRef1.08 (0.65–1.78)1.19 (0.73–1.95)1.04 (0.62–1.72)0.773
HexanaldehydeRef1.62 (0.98–2.71)1.18 (0.70–1.98)2.34 (1.43–3.88)0.005
IsopentanaldehydeRef1.13 (0.70–1.83)1.38 (0.80–2.41)1.04 (0.52–2.10)0.675
PropanaldehydeRef0.74 (0.45–1.21)1.35 (0.84–2.16)1.07 (0.64–1.79)0.362

Adjusted for age, sex, education level, race, smoking, alcohol use, poverty income ratio, physical activity and body mass index.

Adjusted for age, sex, education level, race, smoking, alcohol use, poverty income ratio, physical activity, body mass index, diabetes, and cardiovascular disease.

OR, odd ratio; CI, confidence interval; Q, quartile.

Sensitivity analysis of associations between selected aldehydes and odds of hypertension. Adjusted for age, sex, education level, race, smoking, alcohol use, poverty income ratio, physical activity and body mass index. Adjusted for age, sex, education level, race, smoking, alcohol use, poverty income ratio, physical activity, body mass index, diabetes, and cardiovascular disease. OR, odd ratio; CI, confidence interval; Q, quartile.

Discussion

To the best of our knowledge, this study is the first to investigate the associations between aldehyde exposure and the prevalence of hypertension in a selected, representative population. We found that increased serum hexanaldehyde level was positively associated with odds of hypertension in U.S. adults. We did not observe statistically significant associations between the other aldehydes (benzaldehyde, butyraldehyde, heptanaldehyde, isopentanaldehyde, and propanaldehyde,) and the prevalent hypertension. As far as we know, there is no epidemiological study investigating the relationship between aldehyde exposure and risk of hypertension. Available evidences on this topic were based on few animal studies. Previous research reported that when aldehydes were administrated at low doses in spontaneously hypertensive rats, they could induce a dose-dependent pressor response by sympathomimetic effects though the release of norepinephrine from adrenergic neurons (25, 26). In addition, subsequent study also found that kidney aldehyde conjugates were significantly elevated in fructose induced hypertensive rats and spontaneously hypertensive rats (27, 28). More importantly, dietary supplement of methylglyoxal to Wistar-Kyoto rats has led to adverse renal vascular changes and hypertension (28). In the current study, we firstly observed that increased serum hexanaldehyde were significantly associated with higher odds of hypertension. As reported, hexanaldehyde is a kind of saturated aldehydes and a widespread exposure from tobacco smoke (29). Toxicology research suggested that hexanaldehyde exposure could cause nasal obstruction and headaches in humans (30). Moreover, elevated concentration of blood and exhaled hexanaldehyde has been noted in lung-cancer patients (31, 32). However, no mechanism research and population-based study have focused on the effects of hexanaldehyde exposure on cardiovascular diseases including hypertension. The health effect of hexanaldehyde and the reasons for differences of various aldehydes need further investigated. There are limited studies investigating the health effect of aldehydes exposure, partly because the trait of volatile and high reactivity have resulted in difficulties in qualitative and quantitative determination of aldehydes in vivo. In recent years, some researchers have developed and validated a multistep procedure using SPME-GC-HRMS to detect the serum aldehydes concentrations (22). On the basis of above method, several cross-sectional studies have examined the potential relationship between serum aldehydes and cardiovascular diseases or obesity (20, 21, 33). Xu et al. showed that serum isopentanaldehyde concentrations were positively associated with the odds of cardiovascular disease (20). Given the differences in study outcomes, it is difficult to directly compare our results with the abovementioned findings. Even though, these insights collectively suggested that aldehyde exposure should be considered as an important environment contributor to cardiovascular diseases. Although aldehydes have been suggested to have cytotoxic, mutagenic, genotoxic and carcinogenic effects (34), the possible mechanism underlying the association between serum aldehydes and hypertension were not well-defined. First, aldehyde-covalent modification of proteins and other biological macromolecules could be toxic and be mediators of inflammation and immune response which contributed to the pathogenesis of vascular diseases such as hypertension (35). Second, methylglyoxal has been reported to decrease serum nitric oxide levels in rats model (27). Excess reactive aldehydes may inhibit endogenous nitric oxide (NO) synthase via deactivation of endothelial proteins and impair NO-mediated endothelial function (36). Third, as aldehydes with the electrophilic nature prefer to react with the free amino and sulfhydryl groups of proteins, adducted aldehydes could bind to sufhydryl group of L-type Ca2+ channel proteins thus altering their functions. This may increase cytosolic free calcium levels and peripheral vascular resistance, and induce hypertension (37). Finally, oxidative stress has been confirmed to play a vital role in hypertension development by multiple animal models. Acrolein formed from lipid peroxidation or polyamine metabolism can induce and participate in oxidative stress which contributes to endothelial dysfunction (38). Increased methylglyoxal level has also been shown to cause oxidative stress in rat vascular smooth muscle cells (39). Our study showed some advantages. First, the study was the first to report the association of aldehydes with hypertension using a nationally representative sample of U.S. adults, which facilitates the generalization of our findings. Second, the comprehensive data collection in the NHANES allowed us to adjust for a multitude of potential confounding factors. However, several limitations should also be acknowledged as well. First, due to the cross-sectional study design, causality relationship cannot be determined in this study. Second, the exposure of aldehydes can be endogenous and exogenous. Although we have observed a positive relationship between aldehydes and hypertension, it is difficult for us to evaluate whether the level of aldehydes in serum are exogenous or endogenous. Finally, the participants in the current study were adults from the U.S. Therefore, it should be cautious to generalize our results to other populations.

Conclusion

In summary, increased serum hexanaldehyde level was positively associated with odds of hypertension in U.S. adults. Future studies are warranted to verify the association between hexanaldehyde exposure and hypertension and the underlying mechanism.

Data Availability Statement

Publicly available datasets were analyzed in this study. This data can be found at: https://www.cdc.gov/nchs/nhanes/index.htm.

Ethics Statement

The studies involving human participants were reviewed and approved by NCHS Institutional Review Committee. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

YB: conceptualization, methodology, and formal analysis. YZ: investigation, data curation, formal analysis, and writing—original draft. ML: data curation and writing—original draft. WF: investigation and writing—reviewing and editing. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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