Published online Oct 26, 2026. doi: 10.4330/wjc.125866
Revised: August 19, 2026
Accepted: October 9, 2026
Published online: October 26, 2026
Processing time: 96 Days and 23.8 Hours
The correlation between perfluoroalkyl and polyfluoroalkyl substances (PFAS) and hypertension remains inconsistent. We narrative reviewed the correlation between PFAS and hypertension in terms of the current status of PFAS conta
Core Tip: This article systematically summarizes current evidence on the association between perfluoroalkyl and polyfluo
- Citation: Li J, Chen L. Minireview of relationship between perfluoroalkyl and polyfluoroalkyl substances and hypertension. World J Cardiol 2026; 18(10): 125866
- URL: https://www.wjgnet.com/1949-8462/full/v18/i10/125866.htm
- DOI: https://dx.doi.org/10.4330/wjc.125866
The generic term, perfluoroalkyl and polyfluoroalkyl substances (PFAS), is used for a range of man-made compounds that are used in a wide variety of industrial products[1]. Owing to the fact that PFAS have relatively stable chemical structures, they do not readily self-degrade, leading to the gradual accumulation of PFAS in the natural environment[2]. People are exposed to these compounds via a variety of routes[1,3-5], and several studies have indicated the effects of long-term exposure to PFAS on human health[6-10].
Approximately 31.1% of adults worldwide, which is approximately 1.39 billion people, currently have hypertension, and the prevalence of hypertension is increasing every year, making hypertension one of the most significant risk factors for cardiovascular disease worldwide[11]. The development of hypertension is associated with many factors, including diet, obesity, lifestyle habits, psychological stress, and sleep disorders[11-13]. In addition, environmental pollution is also strongly associated with the development of hypertension[14-16].
In recent years, several studies have reported an association between PFAS exposure and hypertension, though findings vary considerably across populations, PFAS compounds, and study designs. The roles of short-chain substitutes, mixture effects, and underlying mechanisms have received limited attention in previous overviews. Given ongoing regu
Perfluoroalkyl substances are made up of aliphatic carbon chains containing at least one perfluoroalkyl group (-CnF2n + 1), and they are referred to as polyfluoroalkyl substances if the fluorine elements of the carbon chains are partially replaced by the other elements (Figure 1)[3]. The carbon-fluorine bonds of PFAS are extremely stable, providing relatively stable chemical structures; therefore, PFAS do not readily self-degrade in the environment. Since the invention of PFAS in 1940, they have been gradually accumulating in the natural environment[2]. The umbrella term, PFAS, includes thousands of such man-made compounds[1], and are widely used in various industrial products, such as disposable food packaging, furniture, tablecloths, carpets, textiles, cookware, surfactants, and fire-fighting materials[1,3]. Thereby people are exposed to these compounds in their daily lives via various routes[1,3-5].
The health effects associated with PFAS exposure have received increasing attention in recent years. Long-term exposure to PFAS has been shown to affect human health, including juvenile obesity, diabetes, and metabolic disorders[6-10]. Therefore, paying attention to PFAS contamination and avoiding exposure to PFAS in our daily lives are significant for the maintenance and promotion of human health.
For this narrative review, we consulted PubMed up to May 2026 using keywords including “PFAS” “Perfluorooctanoic acid (PFOA)”, “Perfluorooctane sulfonate (PFOS)”, “hypertension”, and “blood pressure”. The search covered human epidemiological studies, animal studies, in vitro experiments, and relevant reviews. We manually screened reference lists for additional studies, and considered original research reporting quantitative PFAS exposure and blood pressure out
The development of hypertension is associated with a variety of factors, including poor diet and lifestyle habits, obesity, psychological stress, and sleep disorders[11-13]. In the past few years, several studies have pointed to a correlation between the development of hypertension and environmental pollution[14-16]. PFAS, which are widely used man-made compounds, have been accumulating in the natural environment[2], and it has been shown that exposure to PFAS is asso
Numerous articles have reported a relationship between PFAS and gestational hypertension[17-21]. A cross-sectional study included 674 pregnant women who had cord blood samples collected at delivery and tested for the concentrations of eight different types of PFAS. The researchers examined medical records to determine whether the participants had comorbid gestational hypertension or pre-eclampsia during pregnancy. The regression analysis found a statistically significant correlation between exposure to PFAS and the development of both gestational hypertension and pre-eclampsia[17]. A cohort study involving 1739 pregnant women found that the exposure to PFAS was associated with an increased risk of pre-eclampsia and that the diastolic blood pressure levels would gradually increase with the exposure to increasing concentrations of PFAS[18]. Another prospective study with 1558 primiparous women measured the parti
Studies in the non-pregnant population have also reported an association between exposure to PFAS and the develop
As an umbrella term for a range of compounds, PFAS contains thousands of different compounds, which have different effects on hypertension. PFOA was one of the most widely used PFAS[3], but it was placed on the restricted list in 2009[3] due to its negative effects on human health[2,3,6], and the major manufacturers of PFOA also voluntarily ceased pro
Following the inclusion of PFOA and PFOS in international lists of restricted substances, the chemical industry has developed a diverse range of substitutes. Among these alternatives, short-chain PFAS, commonly defined as compounds with six or fewer fluorinated carbon atoms, have been widely adopted because of their shorter biological half-life and reduced bioaccumulation potential, which were initially interpreted as toxicokinetic advantages over their long-chain counterparts. Nevertheless, this presumed safety margin has been increasingly questioned, considering the emerging toxicological evidence. A network toxicology analysis demonstrated that short-chain and novel PFAS not only share principal pathogenic targets with legacy PFOA and PFOS but also engage distinct molecular pathways that may intro
Nevertheless, not all studies have yielded positive results[38-48]. A health survey in Sweden that included 187 partici
There appears to be a correlation between exposure to PFAS and blood pressure[20,22,23,30,31,43,49-51]. The Shenyang study noted a positive correlation between PFAS exposure and blood pressure, and the correlation was more significant in women[22]. Similarly, the Veneto study noted that exposure to PFAS was associated with systolic blood pressure in men but diastolic blood pressure in women[23]. In addition, a cross-sectional study that included 48 children found that the exposure to PFAS was associated with an increased risk for elevated systolic blood pressure[49]. There are similar reports regarding PFOA and PFOS[23,33,50]. The National Health and Nutrition Examination Survey noted a positive correlation between exposure to PFOA and systolic blood pressure in American adults[33]. Another cross-sectional study in adolescents indicated that PFOS exposure was associated with elevated diastolic blood pressure in males, but no statistically significant association was found for PFOA[52].
Studies have also discovered a correlation between blood pressure and both PFOA and PFOS[23]. On the contrary, other studies found no relationship between exposure to PFAS and blood pressure levels[53]. A cross-sectional study with 123 adults from Loknya, Russia, found that exposure to PFAS, including PFOA and PFOS, had no statistically significant association with blood pressure, although there was a correlation with other risk factors for cardiovascular disease, such as total cholesterol[53]. The National Health and Nutrition Examination Survey study of 1655 children also found no association between both PFOA and PFOS and blood pressure[42].
The correlation between PFAS and hypertension remains inconsistent[6], with several limitations inherent in the existing literature. A fundamental challenge lies in the marked heterogeneity across study populations: Most investigations have been confined to specific communities in particular regions, whereas the levels of PFAS exposure differ between races[54]. Different populations have disparities in behavior, education, and household income, which can greatly affect the availability of quality healthcare for the patients with hypertension in their regions[55]. Beyond population-level diffe
| Ref. | Country | Population | Size | Definition of outcome | Sex | Main results | Negative results |
| Huang et al[17], 2019 | China | Pregnancy | 687 | Hypertensive disorders of pregnancy | Female | PFBS (AOR = 1.64, 95%CI: 1.09-2.47) | PFHxS, PFUA |
| Preeclampsia | PFBS (AOR = 1.81, 95%CI: 1.03-3.17) | PFHxS, PFUA | |||||
| Borghese et al[18], 2020 | Canadian | Pregnancy | 1739 | Gestational hypertension | Female | PFHxS (OR = 1.15, 95%CI: 0.98-1.35) | PFOA, PFOS |
| Preeclampsia | PFHxS (OR = 1.32, 95%CI: 1.03-1.70) | PFOA, PFOS | |||||
| SBP | PFOA (β = 0.82, 95%CI: 0.23-1.42) | PFOS | |||||
| PFHxS (β = 0.63, 95%CI: 0.29-0.97) | |||||||
| DBP | PFOA (β = 0.64, 95%CI: 0.24-1.05) | - | |||||
| PFOS (β = 0.47, 95%CI: 0.10-0.85) | |||||||
| PFHxS (β = 0.42, 95%CI: 0.16-0.67) | |||||||
| Preston et al[19], 2022 | America | Pregnancy | 1558 | Gestational hypertension | Female | PFOS (OR = 1.38, 95%CI: 1.04-1.82) | PFNA, EtFOSAA, MeFOSAA, PFDA |
| PFOA (OR = 1.51, 95%CI: 1.12-2.03) | |||||||
| PFHxS (OR = 1.28, 95 CI: 1.06-1.54) | |||||||
| Preeclampsia | - | PFOS, PFOA, PFHxS, PFNA, EtFOSAA, MeFOSAA, PFDA | |||||
| SBP | PFOA (β = 0.62, 95%CI: 0.06-1.18) | PFOS, PFHxS, PFNA, EtFOSAA, MeFOSAA, PFDA | |||||
| DBP | PFOS (β = 0.43, 95%CI: 0.05-0.80) | PFHxS, PFNA, EtFOSAA, MeFOSAA, PFDA | |||||
| PFOA (β = 0.56, 95%CI: 0.14-0.98) | |||||||
| Zhu et al[20], 2022 | America | Pregnancy | 8342424 | Hypertension | Total | PFOA (OR = 1.009, 95%CI: 1.001-1.016) | - |
| PFOS (OR = 1.030, 95%CI: 1.021-1.040) | |||||||
| PFHpA (OR = 1.008, 95%CI: 1.005-1.011) | |||||||
| PFHxS (OR = 1.007, 95%CI: 1.004-1.010) | |||||||
| Total PFAS (OR = 1.032, 95%CI: 1.022-1.042) | |||||||
| Yang et al[21], 2022 | China | Pregnancy | 826 | Gestational hypertension | Female | PFOS (AOR = 0.62, 95%CI: 0.39-0.99) | PFHpA, PFOA, PFHxS, PFNA, PFTrA |
| PFDA (AOR = 0.68, 95%CI: 0.47-0.97) | |||||||
| PFUdA (AOR = 0.67, 95%CI: 0.47-0.94) | |||||||
| PFDoA (AOR = 0.64, 95%CI: 0.47-0.86) | |||||||
| SBP | PFOS (aβ = -1.14, 95%CI: | PFHpA, PFOA | |||||
| PFHxS (aβ = -1.76, 95%CI: | |||||||
| PFDA (aβ = -1.01, 95%CI: | |||||||
| PFuDA (aβ = -0.98, 95%CI: | |||||||
| PFNA (aβ = -0.95, 95%CI: | |||||||
| PFDoA (aβ = -1.05, 95%CI: | |||||||
| PFTrDA (aβ = -0.85, 95%CI: | |||||||
| DBP | PFHxS (aβ = -0.90, 95%CI: | PFHpA, PFOA, PFOS, PFDA, PFuDA, PFNA, PFTrA | |||||
| PFDoA (aβ = -0.36, 95%CI: -0.72 to 0.00) | |||||||
| Bao et al[22], 2017 | China | Adults | 1612 | Hypertension | Total | Total-PFOS (OR = 1.24, 95%CI: 1.08-1.44) | n-PFOS, 1m-PFOS, Total-PFOA, n-PFOA, PFHxS, PFDA, PFHxA, PFDoA, PFTeA, PFTrA, PFUnA, PFBS, PFDS, PFHpA, PFPA |
| Total-Br-PFOS (OR = 1.2, 95%CI: 1.11-1.42) | |||||||
| 6m-PFOS (OR = 1.19, 95%CI: 1.07-1.33) | |||||||
| 3 + 4 + 5m-PFOS (OR = 1.26, 95%CI: 1.12-1.42) | |||||||
| Σ2m-PFOS (OR = 1.19, 95%CI: 1.03-1.37) | |||||||
| 6m-PFOA (OR = 1.24, 95%CI: 1.05-1.47) | |||||||
| PFNA (OR = 1.19, 95%CI: 1.04-1.36) | |||||||
| PFBA (OR = 1.10, 95%CI: 1.04-1.17) | |||||||
| SBP | Total-PFOS (β = 4.84, 95%CI: 3.55-6.12) | 6m-PFOA, PFHxS, PFDA, PFHxA, PFDoA, PFTeA, PFTrA, PFUnA, PFBS, PFDS, PFPA | |||||
| n-PFOS (β = 2.99, 95%CI: 1.78-4.20) | |||||||
| Total-Br-PFOS (β = 4.71, 95%CI: 3.64-5.78) | |||||||
| 1m-PFOS (β = 3.27, 95%CI: 2.20-4.35) | |||||||
| 6m-PFOS (β = 3.67, 95%CI: 2.73-4.62) | |||||||
| 3 + 4 + 5 m-PFOS (β = 4.51, 95%CI: 3.52-5.51) | |||||||
| Σ2m-PFOS (β = 3.01, 95%CI: 1.67-4.34) | |||||||
| Total-PFOA (β = 1.69, 95%CI: 0.25-3.13) | |||||||
| n-PFOA (β = 1.74, 95%CI: 0.33-3.14) | |||||||
| PFNA (β = 3.01, 95%CI: 1.79-4.23) | |||||||
| PFBA (β = 0.80, 95%CI: 0.25-1.34) | |||||||
| PFHpA (β = 1.50, 95%CI: 0.21-2.80) | |||||||
| DBP | Total-PFOS (β = 2.70, 95%CI: 1.98-3.42) | PFHxS, PFBA, PFHxA, PFTeA, PFTrA, PFUnA, PFBS, PFHpA, PFPA | |||||
| n-PFOS (β = 2.02, 95%CI: 1.34-2.70) | |||||||
| Total-Br-PFOS (β= 2.42, 95%CI: 1.82-3.02) | |||||||
| 1m-PFOS (β = 2.02, 95%CI: 1.42-2.62) | |||||||
| 6m-PFOS (β = 1.70, 95%CI: 1.16-2.23) | |||||||
| 3 + 4 + 5m-PFOS (β = 2.36, 95%CI: 1.80-2.92) | |||||||
| Σ2m-PFOS (β = 1.12, 95%CI: 0.36-1.87) | |||||||
| Total-PFOA (β = 2.18, 95%CI: 1.38-2.98) | |||||||
| n-PFOA (β = 2.12, 95%CI: 1.33-2.90) | |||||||
| 6m-PFOA (β = 1.35, 95%CI: 0.45-2.24) | |||||||
| PFNA (β = 2.48, 95%CI: 1.80-3.16) | |||||||
| PFDA (β = 1.19, 95%CI: 0.52-1.87) | |||||||
| PFDoA (β = 0.59, 95%CI: 0.12-1.07) | |||||||
| PFDS (β = 0.51, 95%CI: 0.01-1.01) | |||||||
| Pitter et al[23], 2020 | Italy | Adults | 16224 | Hypertension | Total | PFOA (OR = 1.06, 95%CI: 1.01-1.12) | PFNA |
| PFOS (OR = 1.12, 95%CI: 1.02-1.22) | |||||||
| PFHxS (OR = 1.08, 95%CI: 1.02-1.15) | |||||||
| Male | PFOA (OR = 1.08, 95%CI: 1.02-1.15) | - | |||||
| PFOS (OR = 1.17, 95%CI: 1.05-1.31) | |||||||
| PFHxS (OR = 1.11, 95%CI: 1.03-1.19) | |||||||
| PFNA (OR = 1.19, 95%CI: 1.02-1.40) | |||||||
| Female | - | PFOA, PFOS, PFHxS, PFNA | |||||
| SBP | Total | PFOA (β = 0.37, 95%CI: 0.19-0.54) | - | ||||
| PFOS (β = 0.57, 95%CI: 0.24-0.90) | |||||||
| PFHxS (β = 0.37, 95%CI: 0.15-0.58) | |||||||
| PFNA (β = 0.99, 95%CI: 0.47-1.51) | |||||||
| Male | PFOA (β = 0.46, 95%CI: 0.19-0.73) | - | |||||
| PFOS (β = 0.98, 95%CI: 0.47-1.48) | |||||||
| PFHxS (β = 0.61, 95%CI: 0.30-0.93) | |||||||
| PFNA (β = 1.46, 95%CI: 0.72-2.19) | |||||||
| Female | PFOA (β = 0.31, 95%CI: 0.08-0.55) | PFOS, PFHxS, PFNA | |||||
| DBP | Total | PFOA (β = 0.34, 95%CI: 0.21-0.47) | - | ||||
| PFOS (β = 0.44, 95%CI: 0.20-0.68) | |||||||
| PFHxS (β = 0.33, 95%CI: 0.17-0.48) | |||||||
| PFNA (β = 0.62, 95%CI: 0.24-1.00) | |||||||
| Male | PFOA (β = 0.23, 95%CI: 0.04-0.42) | PFOS, PFNA | |||||
| PFHxS (β = 0.29, 95%CI: 0.07-0.51) | |||||||
| Female | PFOA (β = 0.39, 95%CI: 0.21-0.57) | - | |||||
| PFOS (β = 0.51, 95%CI: 0.17-0.84) | |||||||
| PFHxS (β = 0.26, 95%CI: 0.04-0.49) | |||||||
| PFNA (β = 0.81, 95%CI: 0.25-1.37) | |||||||
| Averina et al[24], 2021 | Norwegian | Adolescents | 940 | Hypertension | Total | Total PFAS (OR = 1.91, 95%CI: 1.12-3.26) | - |
| PFHxS (OR = 2.06, 95%CI: 1.16-3.65) | |||||||
| PFOA (OR = 2.08, 95%CI: 1.17-3.69) | |||||||
| PFOS (OR = 1.86, 95%CI: 1.08-3.19) | |||||||
| Ding et al[25], 2022 | America | Women | 1058 | Hypertension | Total | PFOS (HR = 1.18, 95%CI: 1.09-1.28) | PFNA, PFHxS |
| n-PFOS (HR = 1.17, 95%CI: 1.08-1.27) | |||||||
| Sm-PFOS (HR = 1.16, 95%CI: 1.08-1.25) | |||||||
| n-PFOA (HR = 1.17, 95%CI: 1.07-1.27) | |||||||
| EtFOSAA (HR = 1.09, 95%CI: 1.04-1.15) | |||||||
| MeFOSAA (HR = 1.10, 95%CI: 1.03-1.19) | |||||||
| Li et al[26], 2026 | America | Adults | 5175 | Hypertension | Total | PFOA (OR = 1.10, 95%CI: 1.00-1.20) | PFOS, PFUA, PFHxS, PFDA |
| PFNA (OR = 1.16, 95%CI: 1.06-1.27) | |||||||
| Xiao et al[27], 2026 | America | Adults | 6644 | Hypertension | Total | PFOA (OR = 1.04, 95%CI: 1.00-1.08) | PFHxS, PFDeA, PFNA, PFUA |
| PFOS (OR = 1.04, 95%CI: 1.01-1.07) | |||||||
| Me-PFOSA-AcOH (OR = 1.07, 95%CI: 1.00-1.14) | |||||||
| Kim et al[28], 2025 | Korean | Adults | 2993 | Hypertension | Total | PFOA (AOR = 1.04, 95%CI: 1.04-1.52) | PFHxS |
| PFOS (AOR = 1.36, 95%CI: 1.13-1.65) | |||||||
| PFNA (AOR = 1.29, 95%CI: 1.07-1.57) | |||||||
| PFDeA (AOR = 1.37, 95%CI: 1.12-1.67) | |||||||
| Total PFAS (AOR = 1.05, 95%CI: 1.00-1.10) | |||||||
| Wu et al[29], 2024 | China | Adults | 10749 | Hypertension | Total | PFNA (OR = 1.14, 95%CI: 1.01-1.30) | PFDA, PFHpS. PFOS |
| Male | - | PFNA, PFDA, PFHpS, PFOS | |||||
| Female | - | ||||||
| Zhao et al[30], 2026 | China | Adults | 6902 | Hypertension | Total | Total PFAS (OR = 1.10, 95%CI: 1.03-1.019) | - |
| SBP | Total PFAS (β = 0.036, 95%CI: 0.003-0.069) | ||||||
| DBP | Total PFAS (β = 0.062, 95%CI: 0.029-0.096) | ||||||
| Mi et al[31], 2020 | China | Adults | 1238 | Hypertension | Total | 6:2 Cl-PFESA (AOR = 2.57, 95%CI: 1.86-3.56) | - |
| 8:2 Cl-PFESA (AOR = 1.18, 95%CI: 1.06-1.32) | |||||||
| PFOA (AOR = 1.72, 95%CI: 1.27-2.31) | |||||||
| PFOS (AOR = 2.52, 95%CI: 1.91-3.33) | |||||||
| Male | - | 6:2 Cl-PFESA, 8:2 Cl-PFESA, PFOA, PFOS | |||||
| Female | 6:2 Cl-PFESA (AOR = 6.81, 95%CI: 3.54- 13.09) | - | |||||
| 8:2 Cl-PFESA (AOR = 1.135, 95%CI: 1.12-1.63) | |||||||
| PFOA (AOR = 2.32, 95%CI: 1.38-3.91) | |||||||
| PFOS (AOR = 8.13, 95%CI: 4.30-15.40) | |||||||
| SBP | Total | PFOS (β = 2.23, 95%CI: 0.58-3.89) | 6:2 Cl-PFESA, 8:2 Cl-PFESA, PFOA | ||||
| Male | - | 6:2 Cl-PFESA, 8:2 Cl-PFESA, PFOA, PFOS | |||||
| Female | 6:2 Cl-PFESA (β = 2.99, 95%CI: 1.15-4.83) | 8:2 Cl-PFESA, PFOA | |||||
| PFOS (β = 3.08, 95%CI: 1.53-4.62) | |||||||
| DBP | Total | 6:2 Cl-PFESA (β = 1.31, 95%CI: 0.13-2.50) | 8:2 Cl-PFESA | ||||
| PFOA (β = 1.49, 95%CI: 0.34-2.64) | |||||||
| PFOS (β = 1.66, 95%CI: 0.67-2.65) | |||||||
| Male | - | 6:2 Cl-PFESA, 8:2 Cl-PFESA, PFOA, PFOS | |||||
| Female | 6:2 Cl-PFESA (β = 1.62, 95%CI: 0.51-2.74) | 8:2 Cl-PFESA, PFOA | |||||
| PFOS (β = 1.66, 95%CI: 0.67-2.65) | |||||||
| Min et al[33], 2012 | America | Adults | 2934 | Hypertension | Total | PFOA (OR = 2.62, 95%CI: 2.09-3.14) | - |
| Li et al[34], 2024 | America | Adults | 4561 | Hypertension | Total | PFDeA (OR = 1.2, 95%CI: 1.0-1.4) | PFHxS, PFNA, n-PFOA, Sm-PFOS |
| n-PFOS (OR = 1.0, 95%CI: 1.0-1.0) | |||||||
| SBP | PFDeA (β = 0.7, 95%CI: 0.2-1.1) | - | |||||
| DBP | PFDeA (β = 0.8, 95%CI: 0.4-1.2) | - | |||||
| Liao et al[37], 2026 | China | Pregnancy | 826 | Postpartum new-onset hypertension | Female | PFHxS (OR = 0.83, 95%CI: 0.72-0.97) | - |
| PFBS (OR = 1.34, 95%CI: 1.14-1.57) | |||||||
| Donat-Vargas et al[38], 2019 | Sweden | Diabetes | 187 | Hypertension | Total | - | PFOA, PFOS, PFNA, PFHxS, PFDA, PFUnA |
| Christensen et al[39], 2016 | America | Man | 154 | Hypertension | Male | - | PFHpS, PFHxS, PFNA, PFOA, PFOS, PFuDA |
| Lin et al[40], 2020 | America | Diabetes | 957 | Hypertension | Total | - | PFOS, PFOA, PFHxS, EtFOSAA, MeFOSAA, PFNA |
| Winquist and Steenland[41], 2014 | America | Adults | 32254 | Hypertension | Total | - | PFOA |
| Geiger et al[42], 2014 | America | Children | 1655 | Hypertension | Total | - | PFOA, PFOS |
| SBP | |||||||
| DBP | |||||||
| Birukov et al[43], 2021 | Denmark | Pregnancy | 1436 | Hypertensive disorders of pregnancy | Total | - | PFHxS, PFOS, PFOA, PFNA, PFDA |
| Gestational hypertension | |||||||
| Preeclampsia | |||||||
| SBP | PFHxS (β = -0.51, 95%CI: | PFOS, PFOA, PFNA, PFDA | |||||
| DBP | PFOS (β = 0.58, 95%CI: 0.13-1.04) | PFHxS, PFOA, PFNA, PFDA | |||||
| Säve-Söderbergh et al[44], 2025 | Sweden | Pregnancy | 109031 | Hypertensive disorders of pregnancy | Female | - | Total PFAS |
| Ebel et al[45], 2023 | Sweden | Pregnancy | 27292 | Hypertension | Female | - | Mixed exposure of PFOS and PFHxS |
| Thompson et al[46], 2024 | America | Pregnancy | 513 | Gestational hypertension | Female | - | PFOA, PFOS, PFHxS, PFNA |
| Preeclampsia | |||||||
| Aker et al[47], 2023 | Canadian | Adults | 1212 | Hypertension | Total | - | PFOA, PFNA, PFDA, PFUnDA, PFHxS, PFOS |
| Wu et al[48], 2024 | America | Total | 13921 | Hypertension | Total | - | PFHxS, MPAH, PFDE, PFNA, PFUA |
| Khalil et al[49], 2018 | America | Obese children | 48 | SBP | Total | PFNA (β = 32.4, 95%CI: 9.04-55.7) | PFOA, PFOS, PFHxS |
| DBP | - | PFOA, PFOS, PFNA, PFHxS | |||||
| Ma et al[52], 2019 | America | Adolescents | 2251 | SBP | Total | - | PFOA, PFOS, PFHxS, PFNA |
| Boys | |||||||
| Girls | |||||||
| DBP | Total | - | PFOA, PFOS, PFHxS, PFNA | ||||
| Boys | PFOS (β = 0.025, 95%CI: 0.01-0.05) | PFOA, PFHxS, PFNA | |||||
| Girls | - | PFOA, PFOS, PFHxS, PFNA | |||||
| Wang et al[50], 2025 | America | Pregnancy | 2018 | SBP | Total | PFOS (EE = 0.07, 95%CI: | PFNA, PFDA |
| DBP | PFHxS (EE = 0.07, 95%CI: 0.02-0.12) | ||||||
| PFOS (EE = 0.07, 95%CI: 0.01-0.12) | |||||||
| PFOA (EE = 0.06, 95%CI: 0.00-0.11) | |||||||
| Du et al[51], 2024 | China | Children | 129 | SBP | Total | PFHxS (β = 2.28, 95%CI: 0.15-4.41) | PFDA, PFDoA, PFHpA, PFNA, PFOA, PFOS, PFUA, PFBS |
| DBP | PFHxS (β = 3.08, 95%CI: 1.28-4.89) | PFDA, PFDoA, PFHpA, PFNA, PFOA, PFOS, PFUA, PFBS | |||||
| - | |||||||
| Chen et al[53], 2019 | Croatia | Adults | 122 | SBP | Total | - | PFOS, PFOA, PFHxS, PFNA |
| DBP |
The evidence base relies predominantly on observational studies, with cross-sectional designs being particularly prevalent; this inherently limits the ability to establish temporal precedence and precludes causal inference. In these cross-sectional settings, reverse causation cannot be ruled out, as individuals with pre-existing metabolic disturbances may exhibit altered PFAS toxicokinetics. Moreover, potential confounding may arise from a range of factors, including renal function, cardiometabolic status, dietary patterns, medication use, socioeconomic status, and pregnancyrelated physiological changes, all of which may influence both PFAS exposure levels and blood pressure outcomes, thereby distorting the observed associations. Another critical limitation concerns the exposure assessment: Serum PFAS concentrations measured at a single time point provide only a snapshot and may poorly reflect cumulative or long-term internal exposure, as both external sources and individual clearance rates fluctuate over time. Furthermore, studies that treated blood pressure as a continuous variable often had greater statistical sensitivity in terms of detecting subtle associations than those that used a dichotomous hypertension diagnosis, which may explain why some investigations reported correlations with systolic/diastolic pressure levels without finding significant associations with hypertension prevalence. Notably, the definition of hypertension varies across studies, including single-visit blood pressure measurements, docu
Exposure to PFAS has been shown to activate peroxisome proliferator-activated receptors (PPARs) and upregulate the expression of PPAR-α target genes[56-60]. Human liver cells were cultured by exposing them to high concentrations of PFAS, and PPARs were activated[56]. Another cellular study also noted that exposure to PFAS upregulated the expre
The involvement of PPARs in blood pressure regulation extends beyond genetic susceptibility to include direct effects on key cardiovascular and renal tissues. PPARs are expressed in vascular smooth muscle cells, renal tubular epithelium, and cardiac myocytes - tissues that are critically involved in blood pressure regulation through their effects on vascular tone, sodium balance, and cardiac output[61,62]. Emerging evidence indicates that PFAS exposure induces renal vasoconstriction and proximal tubular injury through PPAR-dependent transcriptional reprogramming in experimental models[14], though whether these findings translate to humans remains to be determined. A meta-analysis of 21 studies has reported that PPAR genetic polymorphisms are associated with an increased risk of hypertension in Asian populations[63], but this genetic evidence does not directly establish that PFAS-mediated PPAR activation drives hypertensive effects in humans. Collectively, these observations suggest that PFAS-mediated perturbation of PPAR signaling may contribute to elevated blood pressure by enhancing sodium reabsorption, altering vascular tone, and promoting adverse cardio
The PFAS-mediated oxidative stress pathway may be another potential biological mechanism for PFAS-induced hyper
Oxidative stress plays a critical role in the pathogenesis of hypertension[68,69]. ROS are the key signaling molecules for the actions of vasoactive substances, such as angiotensin, endothelin, aldosterone, and prostaglandins, which together regulate the intracellular calcium homeostasis that is essential for triggering and maintaining vasoconstriction and cardiac contraction[69]. Dysregulation of this redox-sensitive signaling network, particularly in the renal microvascular endothelium, has been implicated in the development of endothelial dysfunction and increased peripheral vascular resis
The kidneys govern long-term blood pressure homeostasis primarily by regulating sodium and water excretion. Recent experimental evidence has established a causal link between PFAS exposure and renal vascular dysfunction[70]. In a mouse model, PFAS exposure induced dose-dependent pressor effects. When PFAS-exposed mice were fed a high-salt diet, they exhibited exaggerated salt-sensitive hypertension, glomerulopathy, interstitial fibrosis, and a trend toward increased albuminuria[70]. Single-cell RNA sequencing of renal tissues revealed that PFAS-induced transcriptional alterations were most pronounced in the proximal tubule, thick ascending limb, and collecting duct segments, which are critical for sodium reabsorption[70]. These observations suggest that PFAS may affect tubular sodium transporters in experimental models, but whether similar effects occur in humans and whether they translate to saltsensitive hyperten
Another potential biological mechanism may be the influence of PFAS on the signaling pathway for thyroid hormone production[71-74], which can also affect the development of hypertension[75]. A study that exposed zebrafish to PFAS discovered that this affected not only the thyroid hormone levels, but also the expression of thyroid hormone-related genes and disrupted the structure of thyroid follicular cells[71]. A systematic review also demonstrated a correlation between PFAS exposure and the thyroid hormone levels in pregnant women and children[72]. Exposure to PFAS de
Thyroid hormones directly modulate vascular smooth muscle cells and endothelial function, thereby regulating syste
In addition to these pathway-specific mechanisms, PFAS exposure has been reported to affect hepatic and renal functions, uric acid metabolism, and lipid profiles[7-10], all of which are established risk factors for cardiovascular disease[78-80]. Beyond these classical metabolic disturbances, emerging evidence links PFAS exposure to endothelial dysfunction, increased carotid intima-media thickness, and arterial stiffness, which are critical early alterations associated with the atherosclerotic process[81,82]. Studies have also shown that PFAS exposure is associated with adverse changes in glucose metabolism, reduced high-density lipoprotein cholesterol levels, and increased adiposity[83]. These mechanisms collectively amplify cardiovascular risk through pathways both interrelated with and independent of hypertension.
Importantly, the pathways discussed above are not mutually exclusive; rather, they converge at common final effectors of blood pressure regulation. PFAS-induced PPAR activation may directly upregulate tubular sodium transporter expre
In conclusion, despite the inherent heterogeneity and methodological limitations discussed above, the majority of the reviewed epidemiological evidence supports a positive association between PFAS exposure and both hypertension prevalence and elevated blood pressure levels. Moreover, both cellular and animal studies have suggested that PFAS may contribute to the development of hypertension in several ways, including the activation of nuclear receptors, oxidative stress, renal vascular dysfunction, and thyroid disruption. Nevertheless, given the inherent limitations of cross-sectional designs and the constraints of single time-point exposure measurements, the current evidence base warrants cautious interpretation, as it indicates an association rather than established causation. It is also important to note that while PFAS biomonitoring has been valuable in populationlevel research, it has not yet been shown to inform individuallevel hyper
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