Specific Subclasses Research Articles

Enhancing the quality of low-light images via the coefficient bounds derived for a subclass of Sakaguchi-type function

This paper introduces a new approach for enhancing low-light images by utilizing coefficient bounds from a specific subclass of analytic functions, a concept rooted in geometric function theory. Our method is designed to adapt dynamically to different lighting conditions, ensuring effective image enhancement in both uniformly and non-uniformly illuminated environments. Specifically, we apply a convolution process for images that are evenly illuminated, while a power-law transformation is employed when illumination is non-uniform. This dual-method strategy allows us to overcome common challenges such as over-enhancement and under-enhancement, which are frequently encountered in traditional approaches. By adjusting to varying lighting conditions, our approach guarantees superior image quality across a range of scenarios. Through extensive experiments and rigorous comparisons using performance metrics, we demonstrate that our method consistently outperforms existing techniques, yielding significant improvements in both image clarity and contrast. These results confirm the effectiveness and adaptability of our approach in enhancing low-light images.

Emerging Per- and Polyfluoroalkyl Substances in Tap Water from the American Healthy Homes Survey II.

Humans experience widespread exposure to anthropogenic per- and polyfluoroalkyl substances (PFAS) through various media, which can lead to a wide range of negative health impacts. Tap water is an important source of exposure in communities with any degree of contamination but routine or large-scale PFAS monitoring often depends on targeted analytical methods limited to measuring specific PFAS. We analyzed 680 tap water samples from the American Healthy Homes Survey II for PFAS using non-targeted analysis (NTA) to expand the range of detectable PFAS. Based on detection frequency and relative abundance, about half of the identified PFAS were found only by NTA. We identified (with varying degrees of confidence) 75 distinct PFAS, including 57 exclusively detected by NTA. The identified PFAS are members of seven structural subclasses differentiated by their head groups and degree of fluorination. Clustering analysis categorized the PFAS into four coabundance groups dominated by specific PFAS subclasses. One group uniquely identified by NTA contains zwitterionic PFAS and other PFAS transformation products which are likely associated with aqueous firefighting foam contaminants in a small number of spatially correlated samples. These results help further characterize the scope of exposure to emerging PFAS experienced by the U.S. population via tap water and augment nationwide targeted-PFAS monitoring programs.

Bi-univalent functions associated with Gegenbauer polynomials : New subclasses and coefficient properties

In this work we explore three new subclasses of holomorphic and bi-univalent functions, which are characterized using Gegenbauer polynomials. We evidence upper bounds to the third and second coefficients of these functions and moreover establish the Fekete-Szegö inequality for functions within these specific subclasses.

Fekete-Szeg¨o and Second Hankel Determinant for a Certain Subclass of Bi-Univalent Functions associated with Lucas-Balancing Polynomials

In this paper, a new subclass of bi-univalent functions linked to Lucas-Balancing polynomials is introduced. Bounds for the coefficients in the Taylor-Maclaurin series, denoted as |a2| and |a3|, are determined for these functions. The Fekete-Szeg¨o functional problems are also addressed, and bounds for the second Hankel determinant for functions in this specific subclass are established. Additionally, it is shown that by adjusting the parameters in the main findings, several new results can be derived.

The mediating role of C-reactive protein (CRP) in the dietary intake of flavonoids and the risk of albuminuria.

Background: Prior experimental investigations have highlighted the beneficial effects of flavonoid consumption on renal function. However, a comprehensive evaluation of their impact on modulating albuminuria risk within population-based epidemiological studies is still limited. This study aimed to fill this gap by examining the correlation between flavonoid intake and albuminuria risk, while also shedding light on the potential mediating influence of inflammation in this association. Methods: We utilized data from 29 940 participants spanning three cycles (2007-2008, 2009-2010, and 2017-2018) of the National Health and Nutrition Examination Survey (NHANES). We employed rigorous analytical methods, encompassing logistic regression, restricted cubic splines (RCS), and mediation analysis, to assess the link between dietary flavonoid intake and albuminuria risk. Results: Our findings reveal consistent negative associations between total flavonoids and specific subclasses, including flavonols, flavones, flavan-3-ols, anthocyanidins, and catechins, and the risk of albuminuria. Specifically, after adjusting for confounding factors, each logarithmic unit increase in these flavonoid categories was associated with a decrease in albuminuria risk ranging from 3% to 12%. The mediating proportion of C-reactive protein (CRP) in the relationships between the intake of total flavonoids, flavonols, flavones, catechins, and flavan-3-ols and albuminuria risk was 7.3%, 5.6%, 2.3%, 7.7%, and 4.6%, respectively. Conclusions: These results indicate that increased consumption of flavonoid-rich foods contributes to a reduced risk of albuminuria.

New Results of Differential Subordination for a Specific Subclass of p-Valent Meromorphic Functions Involving a New Operator

The present article aims to significantly improve geometric function theory by making an important contribution to p-valent meromorphic and analytic functions. It focuses on subordination, which describes the relationships of analytic functions. In order to achieve this, we utilize a technique that is based on the properties of differential subordination. This approach, which is one of the most recent developments in this field, may obtain a number of conclusions about differential subordination for p-valent meromorphic functions described by the new operator IHp,q,s j,pν1,n,α,lJ(ζ) within the porous unit disk Δ. Numerous mathematical and practical issues involving orthogonal polynomials, such as system identification, signal processing, fluid dynamics, antenna technology, and approximation theory, can benefit from the results presented in this article. The knowledge and comprehension of the unit’s analytical functions and its interacting higher relations are also greatly expanded by this text.

Synthesizing Invariants for Polynomial Programs by Semidefinite Programming

Constraint-solving-based program invariant synthesis takes a parametric invariant template and encodes the (inductive) invariant conditions into constraints. The problem of characterizing the set of all valid parameter assignments is referred to as the strong invariant synthesis problem , while the problem of finding a concrete valid parameter assignment is called the weak invariant synthesis problem . For both problems, the challenge lies in solving or reducing the encoded constraints, which are generally non-convex and lack efficient solvers. In this paper, we propose two novel algorithms for synthesizing invariants of polynomial programs using semidefinite programming (SDP): (1) The Cluster algorithm targets the strong invariant synthesis problem for polynomial invariant templates. Leveraging robust optimization techniques, it solves a series of SDP relaxations and yields a sequence of increasingly precise under-approximations of the set of valid parameter assignments. We prove the algorithm’s soundness, convergence, and weak completeness under a specific robustness assumption on templates. Moreover, the outputs can simplify the weak invariant synthesis problem. (2) The Mask algorithm addresses the weak invariant synthesis problem in scenarios where the aforementioned robustness assumption does not hold, rendering the Cluster algorithm ineffective. It identifies a specific subclass of invariant templates, termed masked templates, involving parameterized polynomial equalities and known inequalities. By applying variable substitution, the algorithm transforms constraints into an equivalent form amenable to SDP relaxations. Both algorithms have been implemented and demonstrated superior performance compared to state-of-the-art methods in our empirical evaluation.

Notions of Nobility in the 16th Century Grand Duchy of Lithuania: Lineage and Virtue

The aim of this text is two-fold. Firstly, a general view of terminological difficulties arising when attempting to name nobility as a whole is presented with the main issue to be faced is the fact that terms such as ‘bajorija’ (a Lithuanian term) or ‘szlachta’ (a Polish one) simultaneously denote a specific and smaller subclass of nobility. Therefore, the Lithuanian neologism ‘kilnuomenė’ has been presented and introduced. It is justified as etymologically bearing two significant notions which were core to the nobility – that of lineage plus nobleness (by nobility, we mean here a ‘noble’ quality of personality character, a virtue). Secondly, departing from this proposed concept of nobility, a historical enquiry and analysis have been carried out whose main purpose was that of demonstrating how both lineage and nobleness (via virtue) functioned in defining membership in the group and acting as an important element of self-representation.

Roots of Tropical Polynomial from Clopen and Non-Clopen Discrete m-Topological Transformation Semigroup

This paper introduces a specific subclass of m-topological transformation semigroup spaces, referred to as closed m-topological full transformation semigroup spaces. It defines both the clopen and non-clopen elements within these spaces and explores the nature of their roots. The study presents formulas for clopen and non-clopen elements, as well as for the closed m-topological full transformation semigroup spaces. Furthermore, numerical and graphical results for degrees 2 and 3 are provided to illustrate the findings.

Association of Small HDL Subclasses with Mortality Risk in Chronic Kidney Disease.

High-density lipoproteins (HDL) exist in various subclasses, with smaller HDL particles possessing the highest anti-oxidative and anti-inflammatory properties. Understanding the role of these specific subclasses in chronic kidney disease (CKD) could provide valuable insights into disease progression and potential therapeutic targets. In the present study, we assessed HDL subclass composition in 463 patients with CKD stage 2-4 using nuclear magnetic resonance spectroscopy. Over a mean follow-up period of 5.0 years, 18.6% of patients died. Compared to survivors, deceased patients exhibited significantly lower levels of cholesterol, ApoA-I, and ApoA-II within the small and extra-small (XS) HDL subclasses. Multivariable Cox regression analysis, adjusted for traditional cardiovascular and renal risk factors, demonstrated that reduced levels of XS-HDL-cholesterol, XS-HDL-ApoA-I, and XS-HDL-ApoA-II were independently associated with an increased risk of mortality. Furthermore, receiver operating characteristic analysis identified XS-HDL-ApoA-II as the most potent prognostic marker for mortality. In conclusion, reduced small and XS-HDL subclasses, especially XS-HDL-ApoA-II, are strongly associated with increased all-cause mortality risk in CKD patients. Assessment of HDL subclass distribution could provide valuable clinical information and help identify patients at high risk.

Spatio-Temporal Dynamics of Lettuce Metabolome: A Framework for Targeted Nutritional Quality Improvement.

Lettuce (Lactuca sativa L.) is a popular leafy vegetable valued for its dietary fiber, antioxidants, and beneficial vitamins. This study presents a comprehensive spatio-temporal analysis of the lettuce metabolome, revealing complex dynamics in metabolite accumulation influenced by plant age, leaf position, proximodistal distribution within a leaf, and head closure. Samples were collected from plants at five maturity stages (ranging from baby leaf to full commercial maturity and eventually to bolting) and from five leaf positions (from the apex to the base of each plant). A widely targeted metabolomics approach identified 1905 compounds, with flavonoids, phenolic acids, and lipids as the largest classes. Younger plants exhibited higher levels of flavonoids, while older plants accumulated more saccharides and amino acids. Metabolites showed distinct proximodistal distributions, with flavonoids and vitamins concentrated at leaf tips and terpenoids declining from base to tip. Head closure significantly reduced levels of flavonoids, retinol (vitamin A1), and riboflavin (vitamin B2), while it was associated with increased content of other beneficial vitamins, such as thiamine (B1), pantothenate (B5), and pyridoxine (B6). Broad-sense heritability (H2) estimates for metabolites yielded mean H2 values of 0.648 and 0.743 for plants at baby-leaf and commercial maturity stages, respectively. The overall highest heritability was observed in tannins (H2 = 0.909) in younger plants and chalcones (H2 = 0.894) in older plants, suggesting strong genetic control over specific metabolite classes and subclasses. These findings offer a robust framework for optimizing lettuce's nutritional profile by linking metabolite distributions to developmental processes, plant architecture, and genetic regulation. By leveraging these insights, breeders and producers can develop targeted strategies to enhance metabolite content through optimized breeding and harvesting strategies.

Interrogating post-transplant donor HLA-specific antibody characteristics and effector functions using clinical bead assays

Single antigen bead (SAB) assays are the most common and sensitive method used to detect and monitor post-transplant donor specific HLA antibodies (DSA). However, a direct comparison across traditional and modified SAB assays to improve routine DSA monitoring using pre-treated IgG sera to eliminate interference has not been performed. We performed a technical comparison of 251 post-transplant DSA from n = 91 serum samples tested neat (pre-treated, undiluted), at a single 1:16 dilution, in the C1q bead assay, and for IgG subclasses (IgG1, IgG2, IgG3, IgG4) with IgG-enriched sera. We found that DSAs that are detectable by 1:16 dilution and/or C1q are associated with higher IgG MFI values and results could be predicted by testing neat sera. DSA detected at 1:16 dilution correlated with >7000 IgG MFI in neat sera and identified DSA that exceeded the SAB linear range for semiquantitative measurements. C1q positive DSA correlated with >15,000 IgG MFI in neat sera. C1q binding correlated most strongly with total IgG MFI (Spearman r = 0.82, p = 0.002) and not specific subclasses, demonstrating that DSA C1q binding capacity in this cohort is driven by HLA-specific IgG concentration. Evaluation of engineered pan-HLA class I-specific human IgG1 and IgG2 subclass monoclonal antibodies by SAB C1q and C3d assays revealed that IgG2 antibodies can bind complement at higher concentrations. The strengths and limitations of modified SAB assays must be considered to optimize efficient testing and accurate clinical interpretation.

Therapeutic overview of sudachitin.

Citrus fruits are extensively cultivated and eaten both raw and in refined forms. Citrus fruit peels are highly concentrated in polyphenolic substances. This makes them useful resources. Polymethoxyflavones (PMFs), found in citrus peels, belong to a specific subclass of flavonoids where most or all hydroxyl groups are methylated. PMFs have been documented to possess chemopreventive actions, anticancer, anti-inflammatory, and anti-atherosclerosis properties, as well as neuroprotective effects. Sudachitin, a PMF, is primarily found in Citrus sudachi. Japan's Tokushima prefecture is home to this famous fruit. In recent years, there has been a growing interest among researchers in exploring the potential health benefits of sudachitin, spurred by its presence in traditional diets and its association with various positive health outcomes. Studies conducted over the past decade have revealed promising effects of sudachitin in multiple health conditions, including cancer, skin disorders, inflammatory conditions, diabetes, obesity, and neurodegenerative disorders. Although these promising results exist, there is still a need for thorough preclinical and clinical research to confirm sudachitin's effectiveness in treating chronic conditions. This review seeks to summarize animal and cell studies exploring sudachitin's pharmacological properties and the potential molecular pathways underlying its therapeutic effects. Through this, we aim to clarify the clinical potential of sudachitin across various disorders, paving the way for future research and the development of sudachitin-based therapies.

Attributes of Subordination of a Specific Subclass of p-Valent Meromorphic Functions Connected to a Linear Operator

Attributes of Subordination of a Specific Subclass of p-Valent Meromorphic Functions Connected to a Linear Operator

Recurrent tick bites induce high IgG1 antibody responses to α-Gal in sensitized and non-sensitized forestry employees in Luxembourg.

The α-Gal syndrome (AGS) is characterized by the presence of specific IgE-antibodies to the carbohydrate galactose-α-1,3-galactose (α-Gal). Sensitization to α-Gal has been associated with tick bites and individuals exposed to ticks have an elevated risk of sensitization. The aim of this study was to analyze IgG and IgE antibody responses to α-Gal in a high-risk cohort of forestry employees (FE) in Luxembourg. Questionnaires and serum samples of FE from Luxembourg (n=219) were retrospectively analyzed. α-Gal specific IgE was quantified by ImmunoCAP, α-Gal specific IgG and subclasses IgG1-4 were determined by ELISA. Additionally, sera from population-based controls (n=150) and two groups of food-allergic patients, patients with AGS (n=45) and fish-allergic patients (n=22) were assessed for IgG antibody responses to α-Gal and cod extract. Twenty-one percent of FE was sensitized to α-Gal (sIgE≥0.1kUA/L). Both sensitized and non-sensitized FE exhibited high levels of α-Gal specific IgG, IgG1 and IgG3 compared with controls, indicating a stimulation of IgG responses by recurrent tick bites, independent of the sensitization status. AGS patients had the highest levels of IgG1 and IgG2 antibodies, whereas the profile of fish-allergic patients was similar to the profile of the controls for which anti-α-Gal responses were dominated by IgG2 antibodies. α-Gal sIgG4 levels were either very low or undetectable in all groups. Our study provides evidence for a continuous stimulation of α-Gal related immune responses by repeated tick bites, translating into highly elevated levels of IgG1 antibodies directed against α-Gal.

Spectral properties of the gradient operator with nonconstant coefficients

In mathematical physics, the gradient operator with nonconstant coefficients encompasses various models, including Fourier’s law for heat propagation and Fick’s first law, that relates the diffusive flux to the gradient of the concentration. Specifically, consider n≥3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$n\\ge 3$$\\end{document} orthogonal unit vectors e1,…,en∈Rn\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$e_1,\\ldots ,e_n\\in {\\mathbb {R}}^n$$\\end{document}, and let Ω⊆Rn\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Omega \\subseteq {\\mathbb {R}}^n$$\\end{document} be some (in general unbounded) Lipschitz domain. This paper investigates the spectral properties of the gradient operator T=∑i=1neiai(x)∂∂xi\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$T=\\sum _{i=1}^ne_ia_i(x)\\frac{\\partial }{\\partial x_i}$$\\end{document} with nonconstant positive coefficients ai:Ω¯→(0,∞)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$a_i:{\\overline{\\Omega }}\\rightarrow (0,\\infty )$$\\end{document}. Under certain regularity and growth conditions on the ai\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$a_i$$\\end{document}, we identify bisectorial or strip-type regions that belong to the S-resolvent set of T. Moreover, we obtain suitable estimates of the associated resolvent operator. Our focus lies in the spectral theory on the S-spectrum, designed to study the operators acting in Clifford modules V over the Clifford algebra Rn\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathbb {R}}_n$$\\end{document}, with vector operators being a specific crucial subclass. The spectral properties related to the S-spectrum of T are linked to the inversion of the operator Qs(T):=T2-2s0T+|s|2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$Q_s(T):=T^2-2s_0T+|s|^2$$\\end{document}, where s∈Rn+1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$s\\in {\\mathbb {R}}^{n+1}$$\\end{document} is a paravector, i.e., it is of the form s=s0+s1e1+⋯+snen\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$s=s_0+s_1e_1+\\cdots +s_ne_n$$\\end{document}. This spectral problem is substantially different from the complex one, since it allows to associate general boundary conditions to Qs(T)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$Q_s(T)$$\\end{document}, i.e., to the squared operator T2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$T^2$$\\end{document}.

Using syntax and semantics to acquire subjective adjective meanings

ABSTRACT Adjectives like good, nice, pretty, and big are among the most frequent adjectives heard by children in the ambient language, and among the first adjectives produced by children. While these gradable adjectives are ostensibly short and sweet, their abstract semantic representations encode reference to features of the discourse context, including speaker subjectivity, which are surprisingly complex, and which also give rise to specific subclasses. How, then, do children acquire these fine-grained adjectival meanings? In this research, we hypothesize that as with verbs, the linguistic environments in which these adjectives appear provide surface-level distributional cues that narrow the space of meaning. In a proof-of-concept experiment with adults following in the footsteps of the Human Simulation Paradigm, we provide empirical evidence that surface-level linguistic patterns support the acquisition of different subclasses of subjective adjectives. Adults were presented with scripted dialogues featuring novel words in controlled linguistic environments manipulating grammatical subjects, adverbial modifiers, standard phrases, syntactic complements, and evidence of faultless disagreement among speakers. Participants were then asked to guess the word meaning (either incrementally after each ‘frame’ or after multiple frames) and rate their confidence. Results, as measured by the percentage of category-consistent, frame-compliant guesses, paired with an increase in confidence levels, indicate a sensitivity to this surface-level information, thereby highlighting the role of the linguistic environment in supporting the acquisition of adjective meaning.

Generating A New Integral Operator Defined on Certain Families of Meromorphic Functions Involving the Polylogarithm Function

The main objective of this research is to introduce the new integral operator This operator highlights the polylogarithm function from perspective of meromorphic functions. Moreover, the operator is defined on new sub-classes of meromorphic functions. Various conditions that are adequate for functions to belong to these specific subclasses are also highlighted

Lipidomic characterization of building blocks and their dynamic interactions with microbial communities during the ripening fermentation of Pixian Douban

The maturation of Pixian Douban (PXDB) plays a crucial role in developing its distinctive flavor profile; however, the detailed dynamics of lipid changes and their contributions have been insufficiently explored. To address this, we conducted a comprehensive study using lipidomics, lipid building block analysis, and third-generation high-throughput sequencing techniques. Our analysis revealed significant fluctuations in 86 lipid species over a 1- to 2-year maturation period, with notable decreases in diacylglycerols and lysophosphatidylcholines containing C18:2 fatty acid chains. These lipid changes were closely linked to key microbial genera—Sphingomonas, Microbacterium, and Arthrobacter—and specific lipid subclasses. Our findings offer valuable insights into the biochemical processes driving PXDB maturation and highlight potential opportunities for targeted enhancement of its flavor quality.

Dissect the association between per- and polyfluoroalkyl substances (PFAS) and kidney function from the perspective of lipid molecules

Per- and polyfluoroalkyl substances (PFAS) have been linked to kidney function. Studies have shown that PFAS can cause changes in lipid metabolism and that lipids play an important role in regulating kidney function. However, few studies have explored the overall impact of PFAS mixture on kidney function. Moreover, the mechanisms by which PFAS influences kidney function remain unclear. This study was performed to investigate the overall impact of PFAS mixture on kidney function indexes, dissect the mechanism by which PFAS affect kidney function by analyzing lipid molecule profiles, and analyze the associations between different subclasses of lipids and kidney function indexes. We measured blood PFAS levels and kidney function indexes in a community population containing 278 males. Metabolomic analysis detected 332 lipid molecules. A quantile-based g-computation model was applied to assess the overall effect of PFAS mixture on kidney function index, and revealed that PFAS mixture were associated with a higher level of uric acid (UA). Linear regression analysis demonstrated a positive association between PFOA and UA, and logistic regression analysis indicated a positive association between PFOA and hyperuricemia odds. Notably, none of the PFAS were associated with the estimated glomerular filtration rate, indicating that PFAS didn't have an obvious effect on glomerular filtration. Further analysis identified 20 lipid molecules associated with both PFOA and UA. High-dimensional mediation effect analysis showed that seven lipid molecules (one glycerophospholipid, three fatty acyls, and three prenol lipids) mediated the association between PFOA and UA. Additionally, quantile-based g-computation analysis revealed positive associations between specific lipid subclasses—mainly fatty acid esters, fatty acids and conjugates, and sesquiterpenoids—and kidney function indexes. Our findings provide insights into the renal toxicity of PFAS and may also lead to more in-depth investigations using animal models and other population studies.