Construction of bismuth based MOF for efficient removal of sodium diclofenac via adsorption and photocatalysis.

The mass production and widespread use of Pharmaceuticals and Personal Care Products (PPCPs) have posed a serious threat to the water environment and public health. In this work, a green metal-based Metal Organic Framework (MOF) Bi-NH2-BDC was prepared and characterized, and the adsorption characteristics of Bi-NH2-BDC were investigated with typical PPCPs-diclofenac sodium (DCF). It was found that DCF mainly covered the adsorbent surface as a single molecular layer, the adsorption reaction was a spontaneous, entropy-increasing exothermic process and the adsorption mechanisms between Bi-NH2-BDC and DCF were hydrogen bonding, π-π interactions and electrostatic interactions. In addition, Bi-NH2-BDC also had considerable photocatalytic properties, and its application in adsorbent desorption treatment effectively solved the problem of secondary pollution, achieving a green and sustainable adsorption desorption cycle.

Immobilization of laccase on magnetic PEGDA-CS inverse opal hydrogel for enhancement of bisphenol A degradation in aqueous solution.

Endocrine disruptors such as bisphenol A (BPA) adversely affect the environment and human health. Laccases are used for the efficient biodegradation of various persistent organic pollutants in an environmentally safe manner. However, the direct application of free laccases is generally hindered by short enzyme lifetimes, non-reusability, and the high cost of a single use. In this study, laccases were immobilized on a novel magnetic three-dimensional poly(ethylene glycol) diacrylate (PEGDA)-chitosan (CS) inverse opal hydrogel (LAC@MPEGDA@CS@IOH). The immobilized laccase showed significant improvement in the BPA degradation performance and superior storage stability compared with the free laccase. 91.1% of 100 mg/L BPA was removed by the LAC@MPEGDA@CS@IOH in 3 hr, whereas only 50.6% of BPA was removed by the same amount of the free laccase. Compared with the laccase, the outstanding BPA degradation efficiency of the LAC@MPEGDA@CS@IOH was maintained over a wider range of pH values and temperatures. Moreover, its relative activity of was maintained at 70.4% after 10 cycles, and the system performed well in actual water matrices. This efficient method for preparing immobilized laccases is simple and green, and it can be used to further develop ecofriendly biocatalysts to remove organic pollutants from wastewater.

Nature of the lunar far-side samples returned by the Chang'E-6 mission.

The Chang'E-6 (CE-6) mission successfully achieved return of the first samples from the far side of the Moon. The sampling site of CE-6 is located in the South Pole-Aitken (SPA) basin-the largest, deepest and oldest impact basin on the Moon. The 1935.3 g of CE-6 lunar samples exhibit distinct characteristics compared with previous lunar samples. This study analyses the physical, mineralogical, petrographic and geochemical properties of CE-6 lunar scooped samples. The CE-6 soil has a significantly lower bulk density (0.983 g/cm3) and true density (3.035 g/cm3) than the Chang'E-5 (CE-5) samples. The grain size of the CE-6 soil exhibits a bimodal distribution, indicating a mixture of different compositions. Mineralogically, the CE-6 soil consists of 32.6% plagioclase (anorthite and bytownite), 19.7% augite, 10% pigeonite and 3.6% orthopyroxene, and with low content of olivine (0.5%) but high content of amorphous glass (29.4%). Geochemically, the bulk composition of CE-6 soil is rich in Al2O3 (14%) and CaO (12%) but low in FeO (17%), and trace elements of CE-6 soil such as K (∼630 ppm), U (0.26 ppm), Th (0.92 ppm) and rare-earth elements are significantly lower than those of the lunar soils within the Procellarum KREEP Terrane. The local basalts are characterized by low-Ti (TiO2, 5.08%), low-Al (Al2O3 9.85%) and low-K (∼830 ppm), features suggesting that the CE-6 soil is a mixture of local basalts and non-basaltic ejecta. The returned CE-6 sample contains diverse lithic fragments, including local mare basalt, breccia, agglutinate, glasses and leucocrate. These local mare basalts document the volcanic history of the lunar far side, while the non-basaltic fragments may offer critical insights into the lunar highland crust, SPA impact melts and potentially the deep lunar mantle, making these samples highly significant for scientific research.

Discovery and characterization of temperature adaptation modules by mining L-glutamate decarboxylase derived from psychrophilic microorganisms.

Directed alterations of the enzyme's temperature adaptations, such as thermostability and optimal catalytic temperature (Topt), are usually the way to go in order to meet the applications, however they are limited by the understanding between protein structure and function. Glutamate decarboxylase (GADs) is a common enzyme in the food industry. In this study, we identified and characterized three novel L-glutamate decarboxylases from psychrophilic microorganisms. Interestingly, the two enzymes (Gad Psy.Y/Gad Psy.F) showed significant differences in temperature adaptation. Through multiple sequence alignment and structural analysis, two potential regions that may affect the Topt and thermostability of the GAD, termed temperature adaptation modules (TAMs), were targeted. To validate the role of TAMs, we constructed mutants with bi-directional transplants of TAMs, which ultimately significantly altered the temperature adaptation of Gad Psy.Y and Gad Psy.F. Molecular dynamics simulations analysis demonstrated that the introduction and disruption of salt bridges in the mutant TAMs are crucial for this alteration. These findings deepen the understanding of the mechanisms of protein temperature adaptation and provide implications for protein engineering, while also offering advantageous enzymes to support the biosynthesis of GABA.

Advancements in Pharmacological Treatment of Alzheimer's Disease: The Advent of Disease-Modifying Therapies (DMTs).

The landscape of pharmacological treatment for Alzheimer's disease (AD) has undergone significant transformations with the advent of disease-modifying therapies (DMTs) targeting ß-Amyloid (Aß) accumulation, one of the hallmark pathologies of AD. The approval and market introduction of monoclonal antibodies mark the dawn of a new era in AD therapeutics as well. Furthermore, considerable progress has also been made in the development of new drugs targeting non-Aß and non-Tau protein pathways. These advancements are key in tackling the root causes of AD, offering hope for treatments that both relieve symptoms and slow disease progression, improving patient outcomes and quality of life. This review aims to provide a comprehensive update on the advances in drug development and application for AD, including those currently in clinical trials and those already approved for the market to treat patients.

A Treasure Trove of Urban Microbial Diversity: Community and Diversity Characteristics of Urban Ancient Ginkgo biloba Rhizosphere Microorganisms in Shanghai.

Rapid urbanization has exerted immense pressure on urban environments, severely constraining the growth of ancient trees. The growth of ancient trees is closely linked to the microbial communities in their rhizospheres, and studying their community characteristics may provide new insights into promoting the growth and rejuvenation of ancient trees. In this study, the rhizosphere soil and root systems of ancient Ginkgo biloba trees (approximately 200 years old) and adult G. biloba trees (approximately 50 years old) in Shanghai were selected as research subjects. Phospholipid fatty acid (PLFA) analysis and high-throughput sequencing were employed to investigate the diversity of microbial communities in the G. biloba rhizosphere. The results indicated that the 19 PLFA species selected to characterize the soil microbial community structure and biomass were present in the rhizosphere soil of both ancient and adult G. biloba trees. However, the total microbial biomass and the microbial biomass in the rhizosphere soil of ancient G. biloba were lower than the microbial biomass in the rhizosphere soil of adult G. biloba. The biomasses of Gram-negative bacteria (G-), arbuscular mycorrhizal fungi (AMF), and protozoans (P) were significantly different. Total phosphorus, organic matter, and pH may be the key factors influencing the soil microbial community in the rhizosphere zone of ancient G. biloba. An in-depth study of AMF showed that the roots and rhizosphere soil of G. biloba contained abundant AMF resources, which were assigned to 224 virtual taxa using the MaarjAM reference database, belonging to four orders, ten families, and nineteen genera. The first and second most dominant genera were Glomus and Paraglomus, respectively. Archaeospora and Ambispora were more dominant in the rhizosphere than the roots. Furthermore, the abundance of live AMF was significantly higher in ancient G. biloba than in adult G. biloba. Therefore, future research should focus on the improvement of soil environmental characteristics and the identification and cultivation of indigenous dominant AMF in the rhizosphere of ancient G. biloba, aiming for their effective application in the rejuvenation of ancient trees.

Research on the Electrochemical Impedance Spectroscopy Evolution of Sodium-Ion Batteries in Different States.

Sodium-ion batteries (SIBs) have emerged as a promising alternative to lithium-ion batteries (LIBs) due to the abundant availability of sodium, lower costs, and comparable electrochemical performance characteristics. A thorough understanding of their performance features is essential for the widespread adoption and application of SIBs. Therefore, in this study, we investigate the output characteristics and electrochemical impedance spectroscopy (EIS) features of sodium-ion batteries (SIBs) under various states. The research results show that, unlike conventional lithium iron phosphate (LFP) batteries, SIBs exhibit a strong linear relationship between state of charge (SOC) and open-circuit voltage (OCV) across various SOC and temperature conditions. Additionally, the discharge capacity of the battery remains relatively stable within a temperature range of 15 °C to 35 °C; when the temperatures are outside this range, the available capacity of the sodium-ion battery reduces significantly. Moreover, the EIS profiles in the high-frequency region are predominantly influenced by the ohmic internal resistance, which remains largely unaffected by SOC variations. In contrast, the low-frequency region demonstrates a significant correlation between SOC and impedance, with higher SOC values resulting in reduced impedance, indicated by smaller semicircle radii in the EIS curves. This finds highlights that EIS profiling can effectively monitor SOC and state of health (SOH) in SIBs, offering a clear correlation between impedance parameters and the battery's operational state. The research not only advances our understanding of the electrochemical properties of SIBs but also provides a valuable reference for the design and application of sodium-ion battery systems in various scenarios.

Application of intraoperative abdominal aortic balloon occlusion for bleeding during cesarean section in pernicious placenta previa.

OBJECTIVE: To study the effectiveness and safety of abdominal active balloon closure during cesarean sections for patients with pernicious placenta previa (PPP). METHODS: A retrospective analysis was conducted on 140 patients with PPP and placenta accreta who were hospitalized and gave birth at the Third Affiliated Hospital of Zhengzhou University from June 2022 to December 2023. The patients were divided into two groups based on whether intervention was applied. The intervention group [intraoperative abdominal aortic balloon occlusion (IAABO) group] included 118 patients who received prophylactic abdominal aortic balloon occlusion during cesarean section. The routine group, without balloon occlusion, consisted of 22 patients. RESULTS: Compared to the routine group, the IAABO group had significantly lower intraoperative blood loss, blood transfusion volume, and hysterectomy rate (all P<0.05). Additionally, the IAABO group showed lower postoperative pain scores, shorter ambulation time, and higher patient satisfaction (all P<0.05). The neonatal intensive care unit admission rate and incidence of complications were also significantly lower in the IAABO group (both P<0.05). CONCLUSION: Abdominal aortic balloon closure during cesarean sections can reduce bleeding and the need for blood transfusions in cases of PPP, thereby lowering the hysterectomy rate and the incidence of related complications.

Identification of candidate genes and development of KASP markers for soybean shade-tolerance using GWAS.

Shade has a direct impact on photosynthesis and production of plants. Exposure to shade significantly reduces crops yields. Identifying shade-tolerant genomic loci and soybean varieties is crucial for improving soybean yields. In this study, we applied a shade treatment (30% light reduction) to a natural soybean population consisting of 264 accessions, and measured several traits, including the first pod height, plant height, pod number per plant, grain weight per plant, branch number, and main stem node number. Additionally, we performed GWAS on these six traits with and without shade treatment, as well as on the shade tolerance coefficients (STCs) of the six traits. As a result, we identified five shade-tolerance varieties, 733 SNPs and four candidate genes over two years. Furthermore, we developed four kompetitive allele-specific PCR (KASP) makers for the STC of S18_1766721, S09_48870909, S19_49517336, S18_3429732. This study provides valuable genetic resources for breeding soybean shade tolerance and offers new insights into the theoretical research on soybean shade tolerance.

Analysis of factors associated with tooth loss in older adults from 1995 to 2015: a population-based cross-sectional survey in Guangdong, China.

OBJECTIVES: The aim of this study was to detect trends and related factors in the functional dentition (FD) in 65- to 74-year-olds in Guangdong, China, while also assessing trends in education and income inequality factors. MATERIALS AND METHODS: Three large-scale cross-sectional National Oral Health Surveys (NOHS), specifically NOHS II in 1995, NOHS III in 2005, and NOHS IV in 2015, were included. Post hoc stratification was weighted for 1038 participants aged 65 to 74years. Retaining teeth ≥ 20 teeth and retaining < 20 teeth was defined as functional dentition (FD) and nonfunctional dentition (NFD), respectively. Logistic regression models were established to assess related factors. Slope index of inequality (SII) and relative index of inequality (RII) were used to analyze inequality. RESULTS: From NOHS II to IV, the FD proportion increased from 42.8 to 71.9%. Years of NOH, with caries, with periodontal pocket, high educational level, high income level, female, and those who had dental visits were associated with FD preservation. The education-related SII decreased from 0.44 to 0.20, and the income-related SII increased from 0.13 to 0.16. CONCLUSIONS: The FD proportion among 65- to 74-year-olds improved from 1995 to 2015. Years of NOHS, with caries, with periodontal pocket, high education level, and high income level were associated with higher FD proportion. Female and those who had dental visits were associated lower FD proportion. Social inequalities in FD persisted, especially economic-related inequalities. Public health policy support and respective interventions should be applied to increase FD retention.

Association Between Extreme Heat and Outpatient Visits for Mental Disorders: A Time-Series Analysis in Guangzhou, China.

Previous evidence on heatwaves' impact on mental health outpatient visits is limited, especially uncertainty on how different heatwave definitions affect this relationship. In this time-series study, we assessed the association between heatwaves and outpatient visits for mental disorders in Guangzhou, China. Daily outpatient visits for mental disorders and its specific categories (schizophrenia, mood, and neurotic disorders) were sourced from the Urban Resident-based Basic Medical Insurance (URBMI) and the Urban Employee-based Basic Medical Insurance (UEBMI) claims databases in Guangzhou from 2010 to 2014. The study employed nine heatwave definitions, based on combinations of three daily mean temperature thresholds (90th, 92.5th, and 95th percentiles) and durations (2, 3, and 4 days). Using quasi-Poisson generalized linear models (GLMs), we estimated the risks (at lag 0 day) and cumulative effects (lag 0-10 days) of heatwaves on mental disorder outpatient visits. Age, gender, types of medical insurance were considered as potential effect modifiers. We observed a positive association between heatwaves and increased total outpatient visits for mental disorders, both at lag 0 day and during lag 0-10 days. The impact of heatwave was significant at lag 0 day for schizophrenia, mood and neurotic disorders visits, it remained significant for neurotic and mood disorders visits during lag 0-10 days. Heatwave durations lasting more than 4 days were associated with higher relative risks of mental disorders at lag 0 day. Older adults had relatively higher effect estimations than younger individuals. This research highlights the effects of extreme heat on mental health.

Subtyping stage 3 epiretinal membrane: a comprehensive study of ectopic inner foveal layers architecture and its clinical implications.

AIMS: To evaluate the visual function and foveal architecture in patients with stage 3 idiopathic epiretinal membrane (iERM). METHODS: A cross-sectional observational study included 56 eyes of 52 patients with stage 3 iERM. The patients were classified into type A ectopic inner foveal layers (EIFL) and type B EIFL based on the presence of a continuous hyporeflective band. Visual function and foveal microarchitecture were assessed in enrolled eyes. Best-corrected visual acuity (BCVA), metamorphopsia scores, retinal sensitivity and optical coherence tomography (OCT)/OCT angiography features were compared between two subtypes. RESULT: The BCVA in type A EIFL and type B EIFL was 0.22 logarithm of minimal angle of resolution (logMAR) (0.15 logMAR, 0.40 logMAR) and 0.53±0.23 logMAR, respectively (p=0.002). Type B EIFL had higher average metamorphopsia scores, especially horizontal metamorphopsia scores, than type A (p=0.013, p=0.007, respectively). Type B EIFL had worse central 2° foveal sensitivity than type A (p=0.034). Type B EIFL had thicker central foveal thickness and EIFL thickness (514.08±73.80 µm vs 444.41±56.57 µm, p=0.001; 159.75±78.30 µm vs 48.44±18.37 µm, p<0.0001; respectively). The foveal avascular zone area of type B EIFL was smaller than that of type A (0.042±0.022 mm2 vs 0.077±0.039 mm2, p<0.0001). The vessel density and flow area of the superficial vascular complex in type B EIFL were larger than those in type A (both p=0.001). CONCLUSIONS: Type B EIFL demonstrated significantly worse visual function than type A EIFL, along with marked differences in foveal microstructure and microvasculature. Our study complements the current staging of iERM and helps determine the optimal timing of iERM surgery.

Cascaded Inner-Outer Clip Retformer for Ultrasound Video Object Segmentation.

Computer-aided ultrasound (US) imaging is an important prerequisite for early clinical diagnosis and treatment. Due to the harsh ultrasound (US) image quality and the blurry tumor area, recent memory-based video object segmentation models (VOS) achieve frame-level segmentation by performing intensive similarity matching among the past frames which could inevitably result in computational redundancy. Furthermore, the current attention mechanism utilized in recent models only allocates the same attention level among whole spatial-temporal memory features without making distinctions, which may result in accuracy degradation. In this paper, we first build a larger annotated benchmark dataset for breast lesion segmentation in ultrasound videos, then we propose a lightweight clip-level VOS framework for achieving higher segmentation accuracy while maintaining the speed. The Inner-Outer Clip Retformer is proposed to extract spatialtemporal tumor features in parallel. Specifically, the proposed Outer Clip Retformer extracts the tumor movement feature from past video clips to locate the current clip tumor position, while the Inner Clip Retformer detailedly extracts current tumor features that can produce more accurate segmentation results. Then a Clip Contrastive loss function is further proposed to align the extracted tumor features along both the spatial-temporal dimensions to improve the segmentation accuracy. In addition, the Global Retentive Memory is proposed to maintain the complementary tumor features with lower computing resources which can generate coherent temporal movement features. In this way, our model can significantly improve the spatial-temporal perception ability without increasing a large number of parameters, achieving more accurate segmentation results while maintaining a faster segmentation speed. Finally, we conduct extensive experiments to evaluate our proposed model on several video object segmentation datasets, the results show that our framework outperforms state-of-theart segmentation methods.

Prediction of Broadband and Highly-Efficient Electromagnetic Wave-Absorbing SiC@SiO2 Nanowire Aerogel by Genetic Algorithm.

Searching for lightweight and high-temperature stable electromagnetic wave-absorbing materials with broad absorbing bandwidth and high efficiency is of significance for applications in daily life and industry. Optimizing the dielectric properties of SiC nanowire aerogel by both compositional and structural designs is an efficient way to obtain simultaneous efficient wave-dissipation ability and good impendence matching and thus the desired properties. However, due to the complex effects of dielectric parameters on the wave-absorbing properties, rational design of high-performance electromagnetic wave-absorbing materials remains challenging. Herein, we propose a genetic algorithm-based approach to predict broadband and highly efficient electromagnetic wave-absorbing materials in a SiC@SiO2 nanowire aerogel-based system. The obtained SiC@SiO2 nanowire aerogels exhibit a gradient multilayered structure with a low dielectric outer layer, a medium layer with alternatively distributed electromagnetic wave transparent and attenuation layers, and an inner high attenuation layer, giving it a broadband electromagnetic wave-absorbing performance covering almost all the 2-18 GHz bandwidth and simultaneous high efficiency. The results show that the genetic algorithm-based approach is efficient in predicting high-performance electromagnetic wave-absorbing ceramic aerogels.

Durability improvement strategies for wettable fog harvesting devices inspired by spider silk fibers: a review.

Water scarcity is a persistent challenge, and in this case, the freshwater content in the air and water collection phenomena observed in nature provide ideas for fog harvesting. The fog-harvesting capabilities of natural spider silk have long attracted attention. Thus, researchers have undertaken significant efforts for the preparation of wettable biomimetic knotted fibers. However, the fragility of their chemical coating and the susceptibility of spun fibers to damage often present substantial challenges in the durability of fog harvesting equipment. Herein, from a bioengineering perspective, we review the improvement strategies for enhancing the mechanical properties of wettable biomimetic spider silk fibers based on the dense nanoconfined hydrogen-bond array crystalline regions and uniformly embedded amorphous regions of natural wettable spider silk fibers. These strategies aim to achieve high tensile strength, good fracture toughness, and corrosion resistance. Additionally, by incorporating UV inhibitors during spinning, the effects of sunlight can be mitigated or shielded, thereby greatly enhancing the mechanical durability of fog-harvesting devices under harsh realistic conditions.

Exploring Associations and Mediating Factors between Multiple Trace Metals with Anemia in US Adults: Insight from NHANES 2017-2020.

BACKGROUND: Anemia significantly contributes to the global disease burden, with its incidence potentially influenced by the trace metal content within the body. OBJECTIVE: This study aims to examine the associations between trace metals and anemia risk, with a particular focus on investigating the potential mediating roles of iron status and inflammation in these associations. METHODS: Five trace metals (Ni, Co, Mn, Se, and Mo) were examined in 1274 US adults, utilizing data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020. The individual and combined effects of these metals on anemia were assessed using logistic regression, quantile g-computation (QGC), and Bayesian kernel machine regression (BKMR). A sex-stratified analysis was conducted to discern any gender-specific susceptibilities. Additionally, mediation analysis was employed to explore the potential mediating roles of iron status and inflammation in the associations between these metals and anemia. RESULTS: Increased risks of anemia were positively associated with Co and Ni levels but negatively correlated with Se and Mn levels (all with p < 0.05). The trace metal mixture was negatively associated with anemia, with the highest weights of Co and Se in different directions in both the QGC and BKMR models. In the sex-specific analysis, we observed less pronounced protective effects from trace metals in females. Moreover, the mediating proportion of the iron status and inflammation in these relationships ranged from 10.29% to 58.18%. CONCLUSION: Our findings suggest that the trace element mixture was associated with decreased anemia risk, among which Se was a protective factor while Co was a risk factor, and females were more susceptible. The effects of these trace metals on anemia may be mediated by the iron status and inflammation.

Identifying low muscle mass and monitoring body composition changes in newly diagnosed cancer patients: Agreement between multifrequency bioelectrical impedance analysis and computed tomography.

OBJECTIVES: Low muscle mass (MM) is significant in cancer patients, and computed tomography (CT) is considered the reference standard for MM assessment. We investigated the consistency of CT and multifrequency bioelectrical impedance analysis (mBIA) in detecting body composition at baseline and during anticancer treatment and the relationship between MM and malnutrition as well as complications in lung and cervical cancer patients. METHODS: Abdominal CT and mBIA were conducted to assess body composition at baseline for all patients and repeated for patients with cervical cancer after 4 wk of chemoradiotherapy. Concordance was compared by intraclass correlation coefficient and Bland-Altman plots. Receiver operating characteristic analysis was used to assess the diagnostic efficacy of mBIA for low MM. Correlation analysis was conducted to assess the relationship between MM and Nutritional Risk Screening 2002 and Global Leadership Initiative on Malnutrition. Furthermore, we assessed whether there was a difference in the incidence of chemoradiotherapy side effects in the low MM group derived by CT or mBIA. RESULTS: A total of 77 cervical and 73 lung cancer patients were enrolled. mBIA showed fair discriminative capacity (area under the curve = 0.651) for detecting low MM, the concordance of skeletal MM and visceral fat area between CT and mBIA was good (intraclass correlation coefficient = 0.712 and 0.698, respectively), and mBIA and CT had consistent observations of muscle and fat changes (P = 0.051 and 0.124, respectively). There was no difference in the incidence of chemoradiotherapy side effects in the low MM group compared with controls regardless of whether derived by CT or mBIA (P > 0.05). MM was correlated with Nutritional Risk Screening 2002 and Global Leadership Initiative on Malnutrition but showed unsatisfactory prediction of malnutrition (area under the curve <0.7). CONCLUSIONS: mBIA- and CT-derived body composition was highly correlated, and agreement was reached on body composition changes during treatment.

Perfluoroalkyl substances and metabolic syndrome: A cross-sectional study using data from the US national health and nutrition examination survey.

Background: Epidemiological studies linking metabolic syndrome (MetS) and exposure to perfluoroalkyl substances (PFASs) are limited, and the observations gleaned thus far are inconclusive. The study was performed to explore the association of serum PFASs both singly and in a mixed manner with MetS, and meanwhile to examine whether this association was mediated by serum albumin in a US national population. Methods: Total 8108 participants from the National Health and Nutrition Examination Survey, 2007-2018 were included. Four PFASs - including perfluorohexane sulfonic acid (PFHxS), perfluorononanoic acid (PFNA), perfluoromethylheptane sulfonic acid (PFOS), and perfluorooctanoic acid (PFOA), were selected. Weighted quantile sum regression was used to evaluate mixed PFAS exposure and MetS. Multivariable logistic regression models were used to calculate odd ratio (OR) and 95 % confidence interval (95 % CI). Mediating analyses were used to evaluate the mediating effects of albumin. Results: Comparing the highest with lowest quartile yielded a multivariable-adjusted OR (95 % CI) of 1.40 (1.14-1.72) for PFHxS, 1.36 (1.09-1.70) for PFNA, 1.26 (1.00-1.58) for PFOA, and 1.50 (1.19-1.88) for PFOS when associating MetS. Per unit increment in ln-transformed PFHxS, PFNA, PFOA, and PFOS concentrations was significantly associated with 16 %, 17 %, 13 %, and 15 % increased risk of MetS, respectively. When stratified by sex, the significant association between four PFASs and MetS was only noted in females. Mixed PFAS exposure was inversely associated with MetS, and 8.1 % of this association was mediated by serum albumin (P < 0.001). Conclusions: Our findings indicate a significant and independent association of serum PFASs with MetS, and importantly this association was dose-dependent, sex-specific, and possibly mediated by serum albumin.