Exploring environmental obesogenous effects of organic ultraviolet filters on children from a case-control study.

It has been globally recognized that obesity has become a major public health concern, especially childhood obesity. There is limited information, however, regarding the exposure risk of organic ultraviolet (UV) filters, a kind of emerging contaminant, on childhood obesity. This study would be made on 284 obese and 220 non-obese Chinese children with eight organic UV filters at urinary levels. The eight organic UV filters, including 2-Ethylhexyl 4-aminobenzoate (PABA-E), octisalate (EHS), homosalate (HMS), 2-Ethylhexyl-p-methoxycinnamate (EHMC), benzophenone-3 (BP-3), amiloxate (IAMC), octocrylene (OC) and 4-Methylbenzylidene camphor (4-MBC) were identified in urine samples with detection rates ranged from 35.32% to 100%, among which PABA-E, HMS, IAMC and OC were firstly detected in children' s urine. And the urinary UV filters concentration was associated with genders, living sites, guardian education levels, household income, and dietary factors. Urinary EHMC concentrations and childhood obesity were positively associated for girls [Adjusted OR = 2.642 (95% CI: 1.019, 6.853)], while OC concentrations and childhood obesity were negatively associated for girls [Adjusted OR = 0.022 (95% CI: 0.001, 0.817)]. The results suggest that EHMC exposure may be an environmental obesogen for girls. Moreover, two statistical models were used separately to evaluate the impact of UV filter mixtures on childhood obesity, including the Bayesian kernel machine regression (BKMR) model and the quantile g-computation (qgcomp) model. The negative association between UV filter mixtures and childhood obesity was proposed from both BKMR and qgcomp models. Further experimental and epidemiological studies are called upon to discern the individual and mixture impacts of organic UV filters on childhood obesity.

Occurrence, health risk assessment and water quality criteria derivation of six personal care products (PCPs) in Huangpu River, China.

Personal care products (PCPs) have shown adverse health effects on humans. However, their health risk associated with fish consumption and relevant water quality criteria are still not well documented. This study investigated the occurrence and health risk of six PCPs (triclosan, bisphenol-A, and four commonly used organic ultraviolet (UV) filters, i.e., homosalate (HMS), 4-methylbenzylidene camphor (4-MBC), oxybenzone (BP-3), and octocrylene (OC)). River water and three trophic levels of fish species were collected from Huangpu River in Shanghai. The concentration range of the six PCPs were 1.48-89.76 ng/L in water and 0.40-10.75 ng/g dry weight in fish. Estimated daily intake (EDI) and target hazard quotient (THQ) of the PCPs indicated that consuming these fish would not pose non-carcinogenic risks. The maximum allowable fish consumption rates ranged from 85 to 1760 and 155 to 3230 meals per month for children and adults, respectively. As to the four organic UV filters, it is the first time to report the fish consumption advisories. Finally, the human health ambient water quality criteria (AWQC) values of HMS, 4-MBC, BP-3, OC, TCS, and BPA (i.e., 0.1218, 0.7311, 0.3494, 0.0477, 235.8, and 154.7 µg/L, respectively) were proposed, and they can serve as a valuable technical reference for global development and revision of aquatic environmental quality standards for these emerging contaminants.

Antibiotic exposure and risk of overweight/obesity in school children: A multicenter, case-control study from China.

BACKGROUND: Although the use of antibiotics during early life has been associated with increased risk of adipogenesis, effect of antibiotic exposure from various sources, including food or drinking water, on adiposity in children is largely unknown. OBJECTIVE: To investigate associations between urinary biomarkers of multiple antibiotics and risk of adipogenesis in school children. METHODS: This case-control study recruited 410 overweight/obese school children aged 6-9 years and 410 controls from Shandong and Guangdong Province, China, matched on sex, age and school. Diagnosis of overweight and obesity was based on body mass index-based criteria derived from national data. Urinary concentrations of 45 antibiotics from 8 categories (macrolides, ß-lactams, tetracyclines, fluoroquinolones, sulfonamides, phenicols, lincosamides, and quinoxalines), including 6 human antibiotics (HAs), 6 antibiotics preferred as HAs (PHAs), 16 veterinary antibiotics (VAs), and 17 antibiotics preferred as VA (PVAs), were measured by ultra-performance liquid chromatography coupled to triple-quadrupole tandem mass spectrometry. Conditional logistic regression analyses were used to assess odds ratios (ORs) of childhood overweight/obesity in relation to urinary antibiotic concentrations. RESULTS: A total of 32 antibiotics were found in urine samples with an overall detection frequency of 92.93 %. Children with overweight/obesity have higher veterinary antibiotic levels than those with normal weight. Compared with undetected levels of antibiotics, the multivariable-adjusted ORs (95 % confidence interval) of overweight/obesity for high levels of antibiotics divided according to median values were 1.63 (1.02, 2.62) for florfenicol, 1.62 (1.04, 2.54) for phenicols, and 1.41 (0.97, 2.04) for sum of VAs and PVAs. These associations predominantly existed in boys and remained significant in florfenicol after FDR multiple testing correction (FDR adjusted p < 0.05). CONCLUSION: Exposure to certain antibiotic for veterinary use mainly from food or drinking water was associated with an increased risk of adipogenesis in children. Further studies are needed to confirm our findings and clarify the underlying mechanisms.

Urine concentrations of perfluoroalkyl acids in children and contributions of dietary factors: a cross-sectional study from Shanghai, China.

The production and emission of short-chain perfluoroalkyl acids (PFAAs) has increased over the years to replace long-chain PFAAs, leading to frequent detection in the environment and raising global concerns about the potential impacts on human health. In this study, the specific urine levels of 10 PFAAs were obtained from 189 children (age 8-12 years) from two primary schools located in urban and suburban areas of Shanghai in 2019, and the contributions of dietary factors were investigated. Perfluorohexanoic acid (PFHxA), perfluoroheptanoic acid (PFHpA), and perfluorobutane sulfonate (PFBS) were detected in 100%, 99.5%, and 87.3% of the samples, with median concentrations of 20.20 ng/L, 46.50 ng/L, and 20.95 ng/L, respectively. The most abundant PFAA was perfluorooctanoic acid (PFOA), with a median concentration of 78.90 ng/L. The concentration of ∑PFAAs ranged from 61.10 to 4108.93 ng/L, with a median concentration of 253.12 ng/L. Children aged 8-9 years had higher median levels of PFBS, perfluorohexane sulfonate (PFHxS), and perfluorooctane sulfonate (PFOS) than children aged 10-12 years. Obese/overweight children had lower levels of PFHpA, PFBS, and PFOS. The intake of red meats, tubers, sugared beverages, fish and seafood, and eggs contributed to higher concentrations of PFAAs, while frequent intake of poultry and soy milk was associated with lower PFAA concentrations.

An effective PSO-based memetic algorithm for flow shop scheduling.

This paper proposes an effective particle swarm optimization (PSO)-based memetic algorithm (MA) for the permutation flow shop scheduling problem (PFSSP) with the objective to minimize the maximum completion time, which is a typical non-deterministic polynomial-time (NP) hard combinatorial optimization problem. In the proposed PSO-based MA (PSOMA), both PSO-based searching operators and some special local searching operators are designed to balance the exploration and exploitation abilities. In particular, the PSOMA applies the evolutionary searching mechanism of PSO, which is characterized by individual improvement, population cooperation, and competition to effectively perform exploration. On the other hand, the PSOMA utilizes several adaptive local searches to perform exploitation. First, to make PSO suitable for solving PFSSP, a ranked-order value rule based on random key representation is presented to convert the continuous position values of particles to job permutations. Second, to generate an initial swarm with certain quality and diversity, the famous Nawaz-Enscore-Ham (NEH) heuristic is incorporated into the initialization of population. Third, to balance the exploration and exploitation abilities, after the standard PSO-based searching operation, a new local search technique named NEH_1 insertion is probabilistically applied to some good particles selected by using a roulette wheel mechanism with a specified probability. Fourth, to enrich the searching behaviors and to avoid premature convergence, a simulated annealing (SA)-based local search with multiple different neighborhoods is designed and incorporated into the PSOMA. Meanwhile, an effective adaptive meta-Lamarckian learning strategy is employed to decide which neighborhood to be used in SA-based local search. Finally, to further enhance the exploitation ability, a pairwise-based local search is applied after the SA-based search. Simulation results based on benchmarks demonstrate the effectiveness of the PSOMA. Additionally, the effects of some parameters on optimization performances are also discussed.