| Literature DB >> 34741734 |
Maja Milanović1, Larisa Đurić2, Nataša Milošević2, Nataša Milić2.
Abstract
Humans are exposed to the variety of emerging environmental pollutant in everyday life. The special concern is paid to endocrine disrupting chemicals especially to triclosan which could interfere with normal hormonal functions. Triclosan could be found in numerous commercial products such as mouthwashes, toothpastes and disinfectants due to its antibacterial and antifungal effects. Considering the excessive use and disposal, wastewaters are recognized as the main source of triclosan in the aquatic environment. As a result of the incomplete removal, triclosan residues reach surface water and even groundwater. Triclosan has potential to accumulate in sediment and aquatic organisms. Therefore, the detectable concentrations of triclosan in various environmental and biological matrices emerged concerns about the potential toxicity. Triclosan impairs thyroid homeostasis and could be associated with neurodevelopment impairment, metabolic disorders, cardiotoxicity and the increased cancer risk. The growing resistance of the vast groups of bacteria, the evidenced toxicity on different aquatic organisms, its adverse health effects observed in vitro, in vivo as well as the available epidemiological studies suggest that further efforts to monitor triclosan toxicity at environmental levels are necessary. The safety precaution measures and full commitment to proper legislation in compliance with the environmental protection are needed in order to obtain triclosan good ecological status. This paper is an overview of the possible negative triclosan effects on human health. Sources of exposure to triclosan, methods and levels of detection in aquatic environment are also discussed.Entities:
Keywords: Adverse health effects; Antimicrobial agent; Emerging environmental pollutant; Endocrine disrupting chemical; Environmental pollution; Personal care product; Triclosan
Year: 2021 PMID: 34741734 PMCID: PMC8571676 DOI: 10.1007/s11356-021-17273-0
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 5.190
Fig. 1Sources and pathways of human exposure to triclosan
The occurrence of triclosan in different environmental matrices
| Matrix | Method | Method detection limit | TCS concentration (range) | Country | Reference | |
|---|---|---|---|---|---|---|
| Indoor air | ASE, LC–MS/MS | LOD Gaseous phase 4·10−4 pmol/m3 | Mean by location: | France | Laborie et al. ( | |
| LOD Particulate phase 3·10−4 pmol/m3 | Office 0.794 pmol/m3 | |||||
| LOQ Gaseous phase 1·10−4 pmol/m3 | Apartment 0.528 pmol/m3 | |||||
| House 0.359 pmol/m3 | ||||||
| Day nursery 0.235 pmol/m3 | ||||||
| LOQ Particulate phase 9·10−4 pmol/m3 | ||||||
| Indoor dust | LLE with SPE, UPLC-MS/MS | LOD 0.794 nmol/kg | Mean 127.1 nmol/kg | China | Wang et al. ( | |
| LOQ 2.763 nmol/kg | Median 138.5 nmol/kg | |||||
| (n.d.–4075.4 nmol/kg) | ||||||
| Raw wastewater | SPE, GC–MS | LOQ 0.01 nM | 1.98–2.92 nM | Australia | Ying and Kookana ( | |
| Treated wastewater | SPE, GC–MS | LOQ 0.01 nM | Median 0.373 nM | Australia | Ying and Kookana ( | |
| Mean 0.490 nM | ||||||
| (0.08–1.50 nM) | ||||||
| Treated wastewater | SPE, GC–MS | LOQ 5·10−3 nM | 0.045–0.375 nM | New Zealand | Emnet et al. (2020) | |
| Raw wastewater | SPE, UHPLC-MS/MS | LOD 9·10−4 nM | Mean 1.69 ± 1.23 nM | Thailand | Juksu et al. ( | |
| LOQ 3·10−3 nM | ||||||
| Treated wastewater | SPE, UHPLC-MS/MS | LOD 2·10−4 nM | Mean 0.281 ± 0.111 nM | Thailand | Juksu et al. ( | |
| LOQ 9·10−4 nM | ||||||
| Raw wastewater | LLE, LC–MS | LOD 0.07 nM | 6.94–60.8 nM | South Africa | Lehutso et al. ( | |
| Treated wastewater | LLE, LC–MS | LOD 0.07 nM | 3.42–44.9 nM | South Africa | Lehutso et al. ( | |
| Raw wastewater | LLE, LC–MS/MS | / | n.d.–297.7 nM | USA | Kumar et al. ( | |
| Treated wastewater | LLE, LC–MS/MS | / | n.d.–18.6 nM | USA | Kumar et al. ( | |
| Raw wastewater | SPE, UHPLC-MS/MS | LOD 0.02 nM | 3.64 ± 0.363 nM | UK | Petrie et al. ( | |
| LOQ 0.06 nM | ||||||
| Treated wastewater | SPE, UHPLC-MS/MS | LOD 0.02 nM | 0.687 ± 0.071 nM | UK | Petrie et al. ( | |
| LOQ 0.05 nM | ||||||
| River water | Direct injection, LC–MS/MS | LOQ 0.02 nM | Mean 0.06 nM | Canada | Lalonde et al. ( | |
| (n.d.–3.02* nM) | ||||||
| River water | SPE, UHPLC-MS/MS | LOQ 3·10−4 nM | Mean 0.02 nM | China | Ma et al. ( | |
| Median 6.4·10−3 nM | ||||||
| (n.d.–0.227* nM) | ||||||
| River water | SPE, LC-LC–MS/MS | LOD 6·10−4 nM | n.d.–0.770* nM | Spain | Esteban et al. ( | |
| LOQ 2·10−3 nM | ||||||
| River water | LLE, HPLC–UV/VIS | LOQ 0.01 nM | n.d.–0.107* nM | Japan | Nishi et al. ( | |
| River water | SPE, HPLC–PDA | LOD 0.03 nM | n.d.–3.87* nM | South Africa | Madikizela et al. ( | |
| LOQ 1.17 nM | ||||||
| River water | SPE, GC–MS | LOQ 0.01 nM | Mean 0.114* nM | Australia | Ying and Kookana ( | |
| (0.03–0.259* nM) | ||||||
| River water | SPE, UHPLC-MS/MS | LOD 0.01 nM | 0.349 ± 0.032* nM | UK | Petrie et al. ( | |
| LOQ 0.03 nM | ||||||
| River water | SPE, UHPLC-MS/MS | / | 0.023–0.075* nM | China | Yao et al. ( | |
| River water | LLE, GC–MS | LOD 0.01 nM | Median 0.490* nM | India | Ramaswamya et al. ( | |
| Mean 3.26* nM | ||||||
| Max. 17.82* nM | ||||||
| River water | SPE, UHPLC-MS/MS | LOD 7·10−5 nM | Upstream mean 0.587 ± 0.604* nM | Thailand | Juksu et al. ( | |
| Discharged point mean 0.184 ± 0.642* nM | ||||||
| LOQ 2·10−4 nM | Downstream mean 0.414 ± 0.337* nM | |||||
| River water | SPE, GC–MS | LOD 7·10−3 nM | 0.01–0.207* nM | Denmark | Matamoros et al. ( | |
| Lake water | / | / | 0.02–1.07* nM | USA | Lyndall et al. ( | |
| Lake water | SPE, LC–MS/MS | LOD 4·10−3 nM | 8.3·10−3–0.021 nM | USA | Bai and Acharya ( | |
| Lake water | SPE, GC–MS | LOD 7·10−3 nM | Mean 0.03 nM | Denmark | Matamoros et al. ( | |
| LOQ 0.014 nM | ||||||
| Wetland | SPE, GC–MS | LOD 7·10−3 nM | Mean 0.08* nM | Denmark | Matamoros et al. ( | |
| LOQ 0.014 nM | ||||||
| Channel | SPE, GC–MS | LOD 7·10−3 nM | Mean 0.03 nM | Denmark | Matamoros et al. ( | |
| LOQ 0.014 nM | (0.014–0.055 nM) | |||||
| Sediment | Microwave-assisted extraction with SPE, GC–MS | LOD 2·10−3 nmol/kg | 0–0.18 nmol/kg | Spain | Azzouz and Ballesteros ( | |
| LOQ 7·10−3 nmol/kg | ||||||
| Sediment | Ultrasonic extraction, UHPLC-MS/MS | LOD 0.1 nmol/kg LOQ 0.3 nmol/kg | Upstream mean 150 ± 197 nmol/kg | Thailand | Juksu et al. ( | |
| Discharged point mean 156 ± 142 nmol/kg | ||||||
| Downstream mean 176 ± 209 nmol/kg | ||||||
| Sediment | Ultrasonic extraction—SPE, HPLC–MS/MS | LOD 0.2 nmol/kg | Mean 24.2 nmol/kg | China | Chen et al. ( | |
| LOQ 0.7 nmol/kg | Median 5.63 nmol/kg | |||||
| (n.d.–224.1 nmol/kg) | ||||||
| Wild fish plasma | SPE, UHPLC-MS/MS | With enzyme hydrolysis: | Wet | China | Yao et al. ( | |
| LOD 10 nM | With enzyme hydrolysis: | Without enzyme hydrolysis: | ||||
| LOQ 33.7 nM | Median 0 | Median 0 | ||||
| Without enzyme hydrolysis: | (0–33.7 nM) | (0–20.9 nM) | ||||
| LOD 6.3 nM | Dry | |||||
| LOQ 20.9 nM | With enzyme hydrolysis: | Without enzyme hydrolysis: | ||||
| Median 0 | Median 0 | |||||
| (0–60.8 nM) | (0–27.1 nM) | |||||
| Quagga mussels | SPE, LC–MS/MS | LOD 0.035 nmol/g | 0.083–0.097 nmol/g | United States | Bai and Acharya ( | |
| Fish | QuEChERS, UHPLC-MS/MS | Muscle 0 nmol/g | Thailand | Juksu et al. ( | ||
| Blood mean 0.189 ± 0.093 nM | ||||||
| Liver mean 0.172 ± 0.084 nmol/g | ||||||
| Bile mean 2.39 ± 1.04 nM | ||||||
| Fish | Soxhlet extraction, HPLC–PDA | LOQ 3.45 nmol/kg | 314.6–2034.3 nmol/kg | India | Das Sarkar et al. ( | |
| Groundwater | SBSE, atmospheric pressure GC–TOF–MS | LOD < 0.003 nM | 0.235* nM | Spain | Pintado-Herrera et al. ( | |
| Groundwater | LLE, GC–MS | LOD 3·10−5 nM | 0–1·10−4 nM | Zambia | Sorensen et al. ( | |
| Groundwater | SPE, HPLC–UV, GC–MS | LOD 0.05 nM | n.d.–0.183* nM | USA | Karnjanapiboonwong et al. ( | |
| Drinking water | SPE, LC–MS/MS | LOD 4 ·10−3 nM | Mean 9 ·10−3 nM | Malaysia | Wee et al. ( | |
| LOQ 0.01 nM | (n.d.–0.034 nM) | |||||
| Drinking water | SPE, GC–MS | LOD 0.432 nM | Mean 2.54 nM | United States | Loraine and Pettigrove ( | |
| Drinking water | SPE, GC–MS | LOD 7·10−4 nM LOQ 2·10−3 nM | Median 0.033 nM | China | Li et al. ( | |
| (n.d.–0.050 nM) | ||||||
| Bottled water | SPE, GC–MS | LOD 7·10−4 nM | Median 0.012 nM | China | Li et al. ( | |
| LOQ 2·10−3 nM | (2·10−3–0.033 nM) | |||||
| Sludge | Ultrasonic extraction, UHPLC-MS/MS | LOD 2·10−4 nmol/g | Mean 2.09 ± 1.39 nmol/g | Thailand | Juksu et al. ( | |
| LOQ 7·10−4 nmol/g | ||||||
| Biosolid | LLE, SPE, GC–MS | LOQ 0.017 nmol/g | Mean 19.27 nmol/g | Australia | Ying and Kookana ( | |
| Median 8.01 nmol /g | ||||||
| (0.3–58 nmol/g) | ||||||
| Biosolid | PLE, LC–MS/MS | LOD 4·10−4 nmol/g | 0.311–24.38 ng/g | USA | Cha and Cupples ( | |
| Soil | PLE, LC–MS/MS | LOD 2·10−4 nmol/g | n.d.–3.52 nmol/kg | USA | Cha and Cupples ( | |
| Soil | ASE, LC–MS | LOD 171.3 nmol/kg | 331.6–552.6 nmol/kg | USA | Kinney et al. ( | |
* PNEC value is exceeded (0.069 nM)
In vitro triclosan toxicity
| Experimental model | TCS dose | Effects | Reference |
|---|---|---|---|
| Hippocampal slices from male rats, hippocampal cell cultures from the rat embryos | 1, 5 and 10 μM | ↓ Hippocampal neuronal functions | Arias-Cavieres et al. ( |
| Neural stem cells from Sprague Dawley rat embryos | 1 to 50 μM | ↑ Neurodegenerative effects ↑ ROS activation ↑ Apoptosis | Park et al. ( |
| Cortical neurons from mouse embryos | 1 nM to 100 μM | ↑ Apoptosis | Szychowski et al. ( |
| 0.01 μM and 1 μM | ↓ Proliferation ↑ Apoptosis | Tran et al. ( | |
| Mouse neocortical neurons from fetuses of pregnant female Swiss mice | 10 μM | ↑ Neurotoxicity via NMDAR activation ↑ ROS production ↑ LDH release ↑ Apoptosis | Szychowski et al. ( |
| Murine cardiac and skeletal muscle cells | 0.5, 1 and 10 μM | ↓ Excitation–contraction coupling | Cherednichenko et al. ( |
| Human liver microsomes | 400 μM (IC50) | ↓ T4 to T3 conversion | Butt et al. ( |
| FRTL-5 rat thyroid follicular cells, rat thyroid microsomes | 21.3 μM (inhibition constant Ki), 165.8 μM (IC50) | ↓ Sodium/iodide symporter-mediated iodide uptake ↓ Thyroid peroxidase activity | Wu et al. ( |
| Nthy-ori 3–1 human thyroid follicular epithelial cells | 10 μM | ↑ Oxidative stress and ROS production ↓ Viability ↑ p38 pathway | Zhang et al. ( |
| GH3.TRE-Luc thyroid-responsive rat pituitary tumor cells | 5 and 10 μM | Thyroid receptor antagonist | Kenda et al. ( |
| GH3 rat pituitary somatolactotrophic cell line | 10−3, 0.1 and 10 μM | ↑ CaBP-9 k mRNA and protein estrogenic activity via ER-dependent pathway | Jung et al. ( |
| MCF-7 | 0.1 μM | ↑ Migration and invasion | Farasani and Darbre ( |
| 0.1 to 10 μM | ↑ Cell growth via ER-mediated signaling pathway ↑ Cyclin D1 expression ↓ p21 expression | Lee et al. ( | |
| 10–3 to 1 μM | Estrogenic effect | Huang et al. ( | |
| MCF-7 BOS | 0.007 to 691 mM | Estrogenic and anti-estrogenic | Henry and Fair ( |
| MCF-10F, MDA-MB-231 | 0.1 μM | ↑ Migration and invasion | Farasani and Darbre ( |
| MDA-kb2 | 5 and 10 μM | Glucocorticoid, estrogenic, androgenic, thyroid receptor antagonist | Kenda et al. ( |
| AR-EcoScreen hamster ovary cell line cells, hERa-HeLa-9903 | 5 and 10 μM | Androgen receptor antagonist Estrogen receptor antagonist | Kenda et al. ( |
| CV-1 African green monkey kidney cells | 10–3 to 1 μM | Weak estrogenic effect | Huang et al. ( |
| Primary human keratinocytes, NIH-3T3 mouse fibroblasts, RBL-2H3 mast cells | 1 to 20 μM | ↑ Morphological changes and ↓ Membrane potential of mitochondria ↑ ROS production Endoplasmic reticulum and mitochondrial Ca2+ levels alteration | Weatherly et al. ( |
| JB6 Cl 41-5a mouse epidermis-derived cells | 0.01 to 100 μM | ↑ Proliferation | Wu et al. ( |
| Human mesenchymal stem cells | 0.156 to 2.5 μM | ↓ Adipocyte differentiation | Guo et al. ( |
| Porcine oocytes | 1, 10 and 100 μM | ↓ Meiotic maturation and cumulus cell expansion ↑ Mitochondrial superoxide levels and mediated apoptosis | Park et al. ( |
| Porcine parthenogenetic embryos | 50 and 100 μM | ↓ Early embryonic development ↑ ROD-related oxidative stress ↑ Mitochondrial dysfunction | Kim et al. ( |
| Mouse embryonic stem cells (ESCs) | 1.7 to 138.1 μM—cardiac differentiation, 0.01 to 8.6 μM—osteogenic differentiation | ↓ Cardiac and osteogenic differentiation | Cheng et al. ( |
| LNCaP | 0.01 to 10 μM | ↑ Proliferation and migration | Kim et al. ( |
| NCI-H460 | 2.5, 5 and 7.5 μM | ↑ Growth, migration, invasion and survival via the epithelial-to-mesenchymal transition process | Winitthana et al. ( |
In vivo triclosan toxicity
| Experimental model | TCS dose | Effects | Reference |
|---|---|---|---|
| Male Sprague Dawley rats | 10 μM in hippocampus | ↓ Spatial memory performance | Arias-Cavieres et al. ( |
| C57BL/6 J male and female mice | 0, 0.03 and 0.345 mmol/kg subcutaneous | Offspring ↓ spatial memory performance, ↑ Cognitive dysfunction, ↑ Social deficiency, ↑ Anxiety-like behavior, ↓ Nesting-behavior | Tran et al. ( |
| Adult male NMRI mice | 3.45, 7 and 13.81 mmol/kg oral | ↑ Anxiety-related behavior ↓ Motor coordination, muscle strength, neuromuscular function ↑ Morphological changes ↓ Neuronal count | Tabari et al. ( |
| Mice | 0.02, 0.04 and 0.09 mmol/kg intraperitoneal, 0.138 mmol/kg intraperitoneal | ↓ Cardiovascular functions ↓ Skeletal muscle contractility | Cherednichenko et al. ( |
| Pregnant Sprague Dawley rats | 0.1, 0.35, 1 and 2.1 mmol/kg/day | Placental bioaccumulation ↓ Serum progesterone, estradiol, testosterone, human chorionic gonadotropin, prolactin ↑ Placental steroid metabolism enzymes ↑ Progesterone, estrogen and androgen receptor expression Abortion induction ↓ Gravid uterine weight | Feng et al. ( |
| Female Sprague Dawley immature rats | 0.03, 0.13 and 0.65 mmol/kg | ↑ Uterine weight ↑ CaBP-9 k and C3 mRNA expression Estrogenic activity via ER-dependent pathway | Jung et al. ( |
| Female mice | 0.002, 0.0035 and 0.007 mmol subcutaneous injection | ↑ Endogenous and exogenous 17-β estradiol | Pollock et al. ( |
| 0.034 and 0.345 mmol/kg/day oral | ↓ LH, FSH, progesterone, GnRH ↓ Hypothalamic kisspeptin expression ↓ T3, T4 ↑ TSH and TRH | Cao et al. ( | |
| Female Sprague Dawley rats | 0.639 mmol/kg/day oral | ↓ T3, T4 ↑ Estradiol, FSH, LH | Abd-Elhakim et al. ( |
| Male Wistar albino rats | 0.034 and 0.173 mmol/kg | ↓ T3, T4, norepinephrine, dopamine, serotonin, and 5‐hydroxyndoleacetic acid | Taha et al. ( |
| Male Sprague Dawley rats | 0.173, 0.345 and 0.691 mmol/kg/day oral | Hypothyroidism induction ↑ Liver weight ↓ T3, T4 ↑ Deiodinase 3 protein and hepatic enzyme expression ↓ Thyroid peroxidase protein expression Histopathologic changes in rat thyroids ↑ p38 and JNK pathway | Zhang et al. ( |
| Female BALB/c nude mice with transplanted MCF-7 cells | 0.345 mmol/kg | ↑ Tumor mass via ER-dependent signaling pathway | Lee et al. ( |
| Female PPARα-humanized and wild-type mice | 0, 0.2 and 0.432 mmol/kg dermal | ↑ Liver increase and PPARα activation ↑ Production of hepatocyte peroxisomes | Tang et al. ( |
| Pregnant mice | 0.03 mmol/kg/day oral | Offspring: ↑ Food intake, body weight gain, visceral fat and adipocyte size ↓ Glucose clearance and insulin sensitivity ↑ Fasting plasma glucose | Hua et al. ( |
| Sprague Dawley rats | 0.034 and 0.173 mmol/kg oral | ↑ Blood glucose, HDL-C, LDL-C, TG, leptin ↑ Hepatic TG ↓ Hepatic glycogen ↓ Diversity of gut microbiota | Ma et al. ( |
| Male C57BL/6 mice (knockout | 0.35 mM/day oral + high fat diet (HFD) | ↑ Protein deficiency ↑ Accumulation of lipid droplets and ALT levels ↑ Dysregulation of lipid metabolic genes ↓ Cholesterol levels ↑ Abdominal adipose tissue fat ↑ Development of nonalcoholic steatohepatitis and toxicant-associated steatohepatitis ↓ Gut microbiota diversity | Yueh et al. ( |
| Pathogen-free SD rats | 0.14, 0.45 or 1.4 μM, inhalation | ↑ Postdosing salivation ↑ Serum glucose (females) Histopathological changes in kidneys, liver, lung, trachea, larynx, nasal cavity and epididymides | Yang et al. ( |
| Male C57BL/6 mice | 0.034 and 0.345 mmol/kg/day oral | ↑ Liver weight and hepatic lipid levels ↑ Genes related to synthesis, fatty acid oxidation and inflammation | Huang et al. ( |
| Male Sprague Dawley rats | 0.034 μg/B.W. and 3.45 μg/B.W. intratracheal instillation | Acute pulmonary inflammation ↑ Total cell count, polymorphonuclear leukocytes, total protein, lactate acid dehydrogenase, TNFα, IL-6 Lung morphological changes | Kwon et al. ( |
| Mice | 0.034 and 0.276 mM | ↑ Spleen weight, IL-6 ↑ Inflammatory bowel disease ↑ Colitis-associated colon tumorigenesis ↓ Gut microbiota diversity | Yang et al. ( |
| Female BALB/c mice | 25 μl/ear volume of 2% TCS, topical | ↓ Total and activated CD4 + and CD8 + T cells at the infection site ↓ Th1 transcription factor T-bet | Shane et al. ( |
| Female Sprague Dawley rats | 0.64 mmol/kg, oral | Lung tissue: ↓ SOD, CAT and GSH ↑ MDA and LDH ↑ BcL-2 and caspase-3 expression ↑ Morphological changes | Mohammed et al. ( |
Triclosan in human samples and related health disorders
| Population ( | Matrix | Method | Limit of the detection | TCS concentration (range) | Associated disorder | Country | Reference |
|---|---|---|---|---|---|---|---|
| Women-children pairs (202), ≥ 18 years women; 8 years children | Urine | Online SPE, isotope dilution LC–MS | 7.9 nM | Mean gestational: 58.7 nM Childhood: 38 nM | Male children: ↑ Behavioral symptom index ↑ Externalizing and attention problems ↑ Hyperactivity ↑Somatization ↓ Academic achievements | USA | Jackson-Browne et al. ( |
| Women-children pairs (718), 7 years children | Urine, serum, plasma | SPE, LC–MS/MS | 0.345 nM | Mean 4.4 nM in maternal urine | Male children: ↓ Cognitive functioning | Sweden | Tanner et al. ( |
| Men and women (5990) | Urine | UPLC-MS | 1.7 nM | 75th percentile: 4.2 nM 95th percentile: 144.1 nM | ↑ TSH in females | Korea | Ha et al. ( |
| Women-infants pairs (398), 22–42 years women | Urine | SPE, HPLC–MS/MS | 0.345 nM | n.d.–308.6 nM | ↓ Maternal T4 ↓ Neonatal T3 | China | Wang et al. ( |
| Pregnant women (514), mean age 31.0 years | Urine | LC–MS/MS | 0.207 nM | Median 3.0 nM | Male children: ↓ Head circumference ↓ Abdominal circumference ↓ Anogenital distance | UK | Lassen et al. ( |
| Pregnant women (620), mean age 30 years | Urine | SPE, HPLC–MS/MS | 0.345 nM | 2.6–46.1 nM | ↑ Gestational diabetes mellitus risk ↑ Birthweight in female children | China | Ouyang et al. ( |
| Women (895), 18–45 years | Urine | NHANES: on-line SPE, HPLC–MS | 5.9 nM | 81.2 nM | ↑ Infertility prevalence (when combined with other EDs) | USA | Arya et al. ( |
| Infertile women (296), 18–45 years | Urine | HPLC–MS | 0.345 nM | Median 5.1 nmol/g creatinine (2.35–13.1 nmol/g creatinine) | ↑ Polycystic ovary syndrome prevalence ↑ LH levels ↑ LH/FSH ratio | China | Ye et al. ( |
| Women (1848), ≥ 20 years | Urine | NHANES: automated SPE, isotope dilution HPLC–MS | 7.9 nM | Mean 60.7 nmol/g creatinine (55.8–66.1—nmol/g creatinine) | ↓ Bone mineral density ↑ Osteoporosis prevalence | USA | Cai et al. ( |
| Children (623, 294 girls and 329 boys), 8–12 years | Urine | Automated online SPE, HPLC–MS | 7.9 nM | 8–12,468 nM | ↑ Allergic sensitization (inhalant allergens) | Norway | Bertelsen et al. ( |