Composition Analysis Research Articles

Chemical composition and source analysis of PM2.5 in a Population Area from the Aburra Valley Colombia: COVID-19 pandemic effects

Chemical composition and source analysis of PM2.5 in a Population Area from the Aburra Valley Colombia: COVID-19 pandemic effects

Mn-inlaid antiphase boundaries in perovskite structure

Improvements in the polarization of environmentally-friendly perovskite ferroelectrics have proved to be a challenging task in order to replace the toxic Pb-based counterparts. In contrast to common methods by complex chemical composition designs, we have formed Mn-inlaid antiphase boundaries in Mn-doped (K,Na)NbO3 thin films using pulsed laser deposition method. Here, we observed that mono- or bi-atomic layer of Mn has been identified to inlay along the antiphase boundaries to balance the charges originated from the deficiency of alkali ions and to induce the strain in the KNN films. Thus, rectangular saturated polarization-electric field hysteresis loops have been achieved, with a significantly improved twice remanent polarization of 114 μC/cm2 with an applied electric field of 606 kV/cm, which can be comparable to that of the typical Pb-based thin films. Moreover, we directly see the Mn occupation at the A-site of KNN perovskite structure using atomic-scale microstructure and composition analysis. The Mn-inlaid antiphase boundary can further enrich the understanding of perovskite crystal structure and give more possibilities for the design and optimization of perovskite materials.

Mechanical performance study of PVA fiber-reinforced seawater and sea sand cement-based composite materials

Due to the swift progress in the construction sector, there is a global concern about the potential scarcity of river sand and freshwater resources. The development of new construction materials is considered an inevitable trend for industry growth. PVA fibers, known for their strong corrosion resistance, cost-effectiveness, and high toughness, have the potential to enhance the corrosion resistance and seismic performance of structures in marine environments. However, their mechanical properties and durability in the seawater and sea sand environment are not well understood. Therefore, the investigation of the impact of seawater and sea sand on the mechanical properties and durability of PVA fiber-reinforced cement composites is considered crucial. A mechanical performance analysis of PVA fiber-reinforced seawater and sea sand fiber cement composites was conducted in this study. PVA fiber volume fractions of 0%, 0.75%, and 1.5%, cement composite matrix strength grades of C30 and C50, and curing periods of 28 days, 90 days, and 180 days were examined, investigating their influence on the bending toughness of PVA fiber-reinforced seawater and sea sand cement composites. Specific conclusions include the addition of fibers increased the peak bending load, had a less corrosive effect in seawater, and improved the flexural toughness of the material. The most significant improvement was observed at 1.5% fiber content, where the load-deflection curve was fuller and the energy absorption capacity of the material increased by 33–109%, maintaining good bending toughness. Furthermore, higher fiber contents are required for high-strength cementitious composites to improve flexural toughness and durability. The formulation of calculation formulas for predicting bending strength and corresponding deflection, which fit well with the experimental results; and the development of a calculation model for the bending toughness index of PVA fiber-reinforced seawater and sea sand cement composites, providing an effective prediction of material bending toughness.

Novel differential scanning calorimetry (DSC) application to select polyhydroxyalkanoate (PHA) producers correlating 3-hydroxyhexanoate (3-HHx) monomer with melting enthalpy.

Polyhydroxyalkanoate (PHA) is an environmental alternative to petroleum-based plastics because of its biodegradability. The polymer properties of PHA have been improved by the incorporation of different monomers. Traditionally, the monomer composition of PHA has been analyzed using gas chromatography (GC) and nuclear magnetic resonance (NMR), providing accurate monomer composition. However, sequential analysis of the thermal properties of PHA using differential scanning calorimetry (DSC) remains necessary, providing crucial insights into its thermal characteristics. To shorten the monomer composition and thermal property analysis, we directly applied DSC to the analysis of the obtained PHA film and observed a high correlation (r2 = 0.98) between melting enthalpy and the 3-hydroxyhexanoate (3-HHx) mole fraction in the polymer. A higher 3-HHx fraction resulted in a lower melting enthalpy as 3-HHx provided the polymer with higher flexibility. Based on this, we selected the poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (P(3HB-co-3HHx)) producing strain from Cupriavidus strains that newly screened and transformed with vectors containing P(3HB-co-3HHx) biosynthetic genes, achieving an average error rate below 1.8% between GC and DSC results. Cupriavidus sp. BK2 showed a high 3-HHx mole fraction, up to 10.38mol%, with Tm(℃) = 171.5 and ΔH of Tm (J/g) = 48.0, simultaneously detected via DSC. This study is an example of the expansion of DSC for PHA analysis from polymer science to microbial engineering.

Nuclear Receptor Corepressors NCOR1 and SMRT Regulate Metabolism via Intestinal Regulation of Carbohydrate Transport.

Nuclear receptor action is mediated in part by the nuclear receptor corepressor 1 (NCOR1) and the silencing mediator of retinoic acid and thyroid hormone receptor (SMRT). NCOR1 and SMRT regulate metabolic pathways that govern body mass, insulin sensitivity and energy expenditure representing an understudied area in the realm of metabolic health and disease. Previously, we found that NCOR1 and SMRT are essential for maintaining metabolic homeostasis and their knockout (KO) leads to rapid weight loss and hypoglycemia, which is not survivable. Because of a potential defect in glucose absorption, we sought to determine the role of NCOR1 and SMRT specifically in intestinal epithelial cells (IECs). We used a post-natal strategy to disrupt NCOR1 and SMRT throughout IECs in adult mice. These mice were characterized metabolically and underwent metabolic phenotyping, body composition analysis and glucose tolerance testing. Jejunal IECs were isolated and profiled by bulk RNA sequencing. We found that the post-natal KO of NCOR1 and SMRT from IECs leads to rapid weight loss and hypoglycemia with a significant reduction in survival. This was accompanied by alterations in glucose metabolism and activation of fatty acid oxidation in IECs. Metabolic phenotyping confirmed a reduction in body mass driven by a loss of body fat without altered food intake. This appeared to be mediated by a reduction of key intestinal carbohydrate transporters, including SGLT1, GLUT2 and GLUT5. Intestinal NCOR1 and SMRT act in tandem to regulate glucose levels and body weight. This in part may be mediated by regulation of intestinal carbohydrate transporters.

Large‐Scale Drivers of Tropical Extreme Precipitation Events: The Example of French Overseas Territories

AbstractDue to their severity and lack of predictability, understanding and forecasting extreme precipitation events (EPEs) is critical for disaster risk reduction. The present work documents the large‐scale environment of tropical EPEs based on a 42‐year data set combining dense rain‐gauge networks that cover several tropical small islands and coastal regions. Approximately 10%–30% of EPEs are associated with a tropical storm or cyclone (TC), except for Reunion, for which its high topography makes it reach 55%. TCs multiply the EPE probability by a factor of 4–15, especially during TCs of category 1 or higher. A composite analysis demonstrates that the remaining large part of EPEs occurs within large‐scale and strong moist, convective, and cyclonic wind anomalies resulting from the superimposition of intraseasonal, seasonal‐to‐annual, and interannual timescales. These intense anomalies come essentially from intraseasonal variability, and lower frequencies improve the effect of intraseasonal events in creating a favorable environment for EPEs.

Enhanced passivity of reinforcing steel in cementitious materials with thermally-activated red mud

Red mud (RM) is a solid waste from aluminium industry that can be used as an emerging supplementary cementitious material, and it has beneficial effects on the corrosion resistance of reinforcing steel in concrete. However, the low reactivity of RM reduces the comprehensive performance of cementitious materials, thereby limiting its widespread application in concrete. In this study, RM was thermally activated and the phase transformation behavior of the thermally-activated RM (TA-RM) was studied. Additionally, the passivation behavior of steel in extract solutions and mortars containing RM with and without thermal activation was investigated using electrochemical methods, surface characterization techniques and compositional analysis. The results showed that the reactivity of RM was effectively improved by the thermal activation treatment due to the phase transformation, and the enhanced steel passivity was observed in both extract solution and mortar with TA-RM. Compared to steel exposed to extract solutions, the mortar containing TA-RM could provide an additional protection for the embedded steel by forming a compact steel-mortar interface, further improving its passivation ability.

Impact of Cricket and Caterpillar Meal Supplementation on the Nutritional Profile and Consumer Acceptability of Cookies

The quality of cookies produced from wheat flour, cricket, and caterpillar meal blends was evaluated. This was done to examine the effect of adding edible cricket and caterpillar meals on the nutritional and sensory quality of wheat-based cookies. Edible crickets and caterpillars were purchased from local farmers in Benue state, de-gutted, washed, oven-dried, sorted, milled, and sieved to produce their respective meals. The meals were mixed in wheat flour: edible insects ratios of 95:5, 90:10, 85:15 and 80:20 for Cricket and Caterpillar meal blends, respectively. However, samples 100:0 were not mixed and contained 100% wheat flour. The samples were subjected to functional analysis of proximate composition, mineral, vitamin, amino acid profile, physical properties analysis, and sensory attributes evaluation. The result generated from the study was subjected to analysis of variance (ANOVA) and the Duncan multiple range test (DMRT) was used for mean separation at the probability level of significance of 5%. While the protein, fat, ash, crude fibre, and moisture content of the cookies increased with increasing amount of edible insect meal incorporated into the formulation, the carbohydrate content of the cookies decreased significantly (p<0.05). All minerals evaluated in the study (Ca, Zn, K, P, Na, Mg, and Fe) increased with the increase in the amount of edible insect meals in the formulations. An increase in vitamin content was also observed in the cookies, but this increase was insignificant (p>0.05). There was a significant increase in all essential and non-essential amino acid content of the cookies as the level of cricket/caterpillar meal in the formulation increased. The addition of up to 20% of edible cricket/caterpillar meals to wheat flour increased all sensory attributes of the cookies. Cookies fortified with caterpillar meal were found to be more nutritious than those fortified with cricket meal. In general, samples 85:15(85% wheat flour + 15% cricket meal) and 85:15(85% wheat flour + 15% caterpillar meal) contained high nutritional content and recorded the best sensory attributes and therefore were selected as the best blends for a wheat flour+cricket meal and wheat flour+caterpillar meal blends for cookies production.

Green synthesis of g-C3N4 decorated with SnO2 nanocomposites using a novel Ananas comosus crown extract for boosted performance of asymmetric supercapacitors

The recent development of green chemistry, when preparing nanoparticles using plants and their various parts has received a lot of attention in today's world. Metal and metal oxide nanoparticles have gained recognition for their recent advances in green synthesis. In this work, the green synthesis of a 2D g-C3N4 nanosheet decorated with SnO2 nanocomposite was prepared by Ananas comosus crown extract for electrochemical storage applications. The novel Ananas comosus crown extract acts as a reducing or capping agent for a green approach. The prepared g-C3N4/SnO2 nanocomposites were studied with structural, functional group, morphological, elemental composition, chemical state, and surface area analysis of X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), Raman, Scanning electron microscopy (SEM), Transmission electron microscopy (TEM), Energy-dispersive X-ray spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), and Brunauer-Emmett-Teller (BET). SnO2 and various concentrations of g-C3N4 (25, 50, 75 & 100 mg) nanocomposite were investigated for electrochemical performance. At a current density of 1 Ag−1, the green synthesized (SnO2/g-C3N4 (50 mg)) SCN-50 nanocomposite displays a high specific capacitance of 302.7 Fg−1, as well as the composite demonstrates excellent capacitance retention of 94 % after 10,000 loops. Moreover, the asymmetric supercapacitor device of SnO2/g-C3N4//Activated carbon performed good reversible and cyclic stability with high energy and power density. The green synthesis of SnO2/g-C3N4 nanocomposite has promising electrode materials for future energy storage devices.

Exposure to harm as a function of bargaining position: The class composition of hospitality workers in Sheffield

This article advances a zemiological framework of work-based harms, as a means of interrogating the contemporary crisis in the quality of work. Such a framework provides a more nuanced conceptualisation and a stronger political framing of the various harms that are incurred in the workplace than alternative understandings. We critically appraise the development of zemiology out of critical criminology and review recent models which demonstrate the value and insights of the approach to the topic of work-based harms. Nonetheless, these accounts tend to neglect the role of worker resistance in determining the distribution of harm, and we draw on Class Composition Analysis from Autonomist Marxism as a way of better understanding the bargaining power of workers, which in our understanding is synonymous with their ability to resist the imposition of harm. We apply this combined framework to an analysis of hospitality work in Sheffield. First, we describe workers’ experiences of three significant forms of harm (employment insecurity, wage thefts and health and safety during the COVID pandemic). Second, we explore the barriers to union organisation, which very often are linked to the dynamics generating harms in the workplace. Finally, we examine how those barriers were overcome and harms effectively contested, drawing on the example of the Sheffield Needs A Pay Rise campaign.

Evaluation of Microbial Degradation of Thermoplastic and Thermosetting Polymers by Environmental Isolates

In this study, a microbial–enzymatic strategy was pursued to address the challenge of degrading thermoplastic and thermosetting polymers. Environmental microorganisms were isolated, and their enzymatic activities were assessed using colorimetric assays to evaluate their potential for producing enzymes capable of degrading these polymers. Microorganisms demonstrating higher positivity in the enzymatic assays were selected for a 30-day biodegradation experiment, in which epoxy resins, polyethylene terephthalate, or polystyrene served as the sole carbon source. The effectiveness of biodegradation was assessed through the ATR-FTIR analysis of the chemical composition and the SEM examination of surface characteristics before and after degradation. The results indicated that thermoplastic compounds were more susceptible to microbial degradation, exhibiting greater changes in absorbance. In particular, PET treated with Stenotrophomonas sp. showed the most significant efficacy, achieving a 60.18% reduction in the area under the curve with a standard error of ± 3.42 when analyzed by FTIR spectroscopy. Significant alterations in surface morphology were noticed in thermoplastic compounds. In contrast, thermosetting compounds demonstrated lower reactivity, as evidenced by the absence of band shifts in FTIR spectra and minor changes in bond absorbance and surface morphology.

Establishment of an antiplatelet aggregation efficacy-oriented effect-constituent index for quality evaluation of Curcumae Rhizoma from different species (Curcuma phaeocaulis Val, Curcuma kwangsiensis S. G. Lee et C. F. Liang and Curcuma wenyujin Y. H. Chen et C. Ling)

Curcumae rhizoma (CR) is the dried rhizoma of Curcuma phaeocaulis Val (CP), Curcuma kwangsiensis S. G. Lee et C. F. Liang (CK) and Curcuma wenyujin Y. H. Chen et C. Ling (CW), used widely to treat blood stagnation in China. Currently, quality control indicators for CR are limited to chemical composition analysis. It is unclear whether the current quality standard of the multicomponent content of CR can reflect clinical effects, due to the lack of the evaluation of biological effects. A method of evaluating quality was developed called the effect-constituent index (ECI). By meticulously measuring and calibrating the key active components, the ECI offers a comprehensive assessment of the CR's biological effects, establishing a crucial link to clinical efficacy and safety. An analytical protocol employing high-performance liquid chromatography (HPLC) was devised to ascertain the presence and measure ten principal constituents within CR sourced from various species and the content of total volatile oil was also measured. An In vitro antiplatelet aggregation assay was developed to measure the antiplatelet aggregation biopotencies of thirty batches of CR and ten main components. Then, the calibration weights for each constituent in the ECI were determined based on the antiplatelet aggregation biopotency values of eight components with notable efficacy. The ECI calculation involved summing the products obtained by multiplying the content (Ci) of each component by its corresponding biopotency weight (Wi). Correlation analysis unveiled a the most robust correlation (R = 0.8579, p < 0.001) between ECI and antiplatelet aggregation biopotency of CR, when compared to individual components or volatile oil content. The devised ECI, synthesizing chemical and biological data pertinent to clinical effectiveness, facilitates a nuanced assessment of CR quality across various species in its efficacy in treating blood stagnation. This method addresses the challenge of guaranteeing effectiveness through chemical analysis alone. This study offers substantiation for the applicability of the ECI as a tool for assessing the quality of traditional Chinese medicine (TCM).

Diversity and seasonality of horse flies (Diptera: Tabanidae) in Amazon Forest fragments of Monte Negro, Rondônia, Western Amazon.

Tabanidae are considered a nuisance to humans, wild animals, and livestock due to their painful, annoying, and insistent biting. Tabanids transmit some pathogens and parasites biologically and mechanically. In humans, there are relatively few pathogens transmitted regularly. Still, tabanids serve as vectors of a number of disease agents of animals, including viruses, bacteria, protozoans, and nematodes. They are more abundant in tropical and humid regions, and their seasonal patterns are affected by habitat changes such as deforestation and fragmentation. Here, we analyze the tabanid fauna in Monte Negro, a central municipality of Rondônia, Brazil, comparing abundance, richness, and diversity in forest and pasture habitats. Traps were set for 5days a month for 12 consecutive months. We also examined how abiotic factors (humidity, temperature, and rainfall) affected the abundance, diversity, and richness and the effectiveness of Malaise and Nzi traps as sample methods. The influence of climatic variables on the richness and abundance of the species was tested using generalized linear models, and we used non-parametric dimensional scaling (nMDS) for analysis of species composition and diversity in different traps and environments. We collect 1032 specimens of 25 species. The most abundant species were Tabanus antarcticus, Dichelacera tetradelta, Tabanus mucronatus, and Leucotabanus albovarius. Forest habitats had the highest number of tabanids, followed by pasture and the anthropized area, and there was no significant difference regarding the effectiveness of the Malaise and Nzi traps. The study provides new information on the distribution and ecology of tabanids in Brazil.

Remediation of AMD based on hydrogeochemical zonation: A typical metal mine in China

Mining activities disrupt the natural oxidative balance underground, increasing the oxidation of metal sulfides like pyrite. This process leads to the formation of highly acidic mine drainage (AMD) with elevated concentrations of iron (Fe) and sulfate (SO42−). However, generic plugging and backfilling methods, when applied without considering the specific post-mining oxidative environments of different metal mines, often yields minimal results. To clarify the distribution of the underground redox environment after mining of a metal mine in Dexing, China, fifteen water samples from flood and dry periods, as well as fifteen borehole samples, were collected for hydrogeological and chemical analysis. For the first time, the study proposed that the redox zone could be identified and delineated through vertical analysis of water storage media, mineral composition, and hydrochemical characteristics. A hydrogeochemical cause model was constructed, revealing that AMD formation primarily occurs in oxidative and transition zones. Based on the redox zone characteristics of the study area, actual engineering sealing was performed on the oxidation and transition zones of cavity No. 23. As a result, the pH increased from 2.5 before remediation to 4.5, indicating a reduction in acidity. The concentrations of SO42− and Fe significantly decreased, reducing from 1360.0 mg/L and 147.0 mg/L before treatment to 726.0 mg/L and 23.6 mg/L after treatment; the total decrease amounting to 46.6 % and 84.0 %, respectively. The concentrations of Mn and Cu similarly, decreased by 10.7 % and 15.6 %, respectively. This study provides a novel approach and valuable reference for the refined identification and classification of redox zones after metal mine exploitation, as well as for the targeted plugging and treatment of cavities that produce AMD.

Flutter behavior of quadrilateral auxetic core sandwich plate with bio-inspired three-phase composite facings numerical analysis and experimental verification

Flutter behavior of quadrilateral auxetic core sandwich plate with bio-inspired three-phase composite facings numerical analysis and experimental verification

An assessment of compositional methods for the analysis of DNA methylation-based deconvolution estimates.

DNA methylation (DNAm)-based deconvolution estimates contain relative data, forming a composition, that standard methods (testing directly on cell proportions) are ill-suited to handle. In this study we examined the performance of an alternative method, analysis of compositions of microbiomes (ANCOM), for the analysis of DNAm-based deconvolution estimates. We performed two different simulation studies comparing ANCOM to a standard approach (two sample t-test performed directly on cell proportions) and analyzed a real-world data from the Women's Health Initiative to evaluate the applicability of ANCOM to DNAm-based deconvolution estimates. Our findings indicate that ANCOM can effectively account for the compositional nature of DNAm-based deconvolution estimates. ANCOM adequately controls the false discovery rate while maintaining statistical power comparable to that of standard methods.

Overview and limitations of database in global traditional medicines: A narrative review.

The study of traditional medicine has garnered significant interest, resulting in various research areas including chemical composition analysis, pharmacological research, clinical application, and quality control. The abundance of available data has made databases increasingly essential for researchers to manage the vast amount of information and explore new drugs. In this article we provide a comprehensive overview and summary of 182 databases that are relevant to traditional medicine research, including 73 databases for chemical component analysis, 70 for pharmacology research, and 39 for clinical application and quality control from published literature (2000-2023). The review categorizes the databases by functionality, offering detailed information on websites and capacities to facilitate easier access. Moreover, this article outlines the primary function of each database, supplemented by case studies to aid in database selection. A practical test was conducted on 68 frequently used databases using keywords and functionalities, resulting in the identification of highlighted databases. This review serves as a reference for traditional medicine researchers to choose appropriate databases and also provides insights and considerations for the function and content design of future databases.

Lotus seed protein ameliorates hepatic lipid metabolic disorders in high-fat diet-fed mice via activating the PPARα signaling pathway

Obesity, one of the prevalent chronic diseases globally, is a serious threat to human health. Dietary natural compounds intervention is an effective means to alleviate obesity. The objective of this study was to investigate the potential protective role of lotus seed protein (LSP) against obesity. The results of amino acid composition analysis indicated that LSP possessed a well-balanced distribution of amino acids and was rich in branched-chain amino acids (BCAAs). Meanwhile, LSP exhibited better ABTS radical scavenging, DPPH radical scavenging, hydroxyl radical scavenging, and Fe2+ chelating ability in vitro. In vivo, LSP intervention remarkably alleviated body weight gain, organ index gain, dyslipidemia, and hepatic lipid deposition in high-fat diet (HFD)-fed mice. Meanwhile, LSP enhanced hepatic antioxidant enzyme activities (superoxide dismutase (SOD) and catalase (CAT)) and decreased malondialdehyde (MDA) levels, subsequently alleviated liver injury. In addition, LSP intervention significantly improved insulin sensitivity and glucose tolerance in obese mice, thereby alleviating hyperglycemia and insulin resistance. At the molecular level, LSP intervention up-regulated the mRNA and protein expression of fatty acid oxidation-related genes (FATP1, CPT-1a, ACOX1) and down-regulated the mRNA and protein expression of lipid synthesis-related genes (SREBP-1c, ACC, SCD-1, FASN) by activating the PPARα signaling pathway, thereby promoting hepatic fatty acid oxidation and reducing lipogenesis. These results demonstrate that LSP has the potential as a dietary supplementation to prevent and ameliorate obesity.

Validation of an automated segmentation method for body composition analysis in colorectal cancer patients using diagnostic abdominal computed tomography images.

Background & AimsSeveral automated programs have been developed to facilitate body composition analysis of images from abdominal computed tomography (CT) scans. External validation in patients with colorectal cancer is necessary for use in research and clinical practice. Our aim was to validate an automatic method (AutoMATiCA) of segmenting CT images at the third lumbar level (L3) from patients with colorectal cancer, by comparing with manual segmentation. MethodsDiagnostic abdominal CT scans of consecutive patients with stage I-III colorectal cancer were analysed to measure cross-sectional areas and tissue densities of skeletal muscle and intra-muscular, visceral, and subcutaneous adipose tissue. Trained analysts performed manual segmentation of L3 CT images using SliceOmatic. Automatic segmentation was performed using AutoMATiCA, an open-source software. The Dice similarity coefficient (DSC) was calculated to assess segmentation accuracy. Agreement of automatic with manual segmentation was evaluated using intra-class correlation coefficients (ICCs) and Bland-Altman plots with limits of agreement. ResultsA total of 292 scans were included, of which 62% were from male patients. The agreement of AutoMATiCA with the manual segmentation was excellent, with median DSC values ranging from 0.900-0.991 and ICCs above 0.95 for all segmented areas. No systematic deviations were observed in Bland-Altman plots for all segmented areas, with overall narrow limits of agreement. ConclusionsAutoMATiCA provides an accurate segmentation of abdominal CT images from patients with colorectal cancer. Our findings support its use as a highly efficient automated tool for body composition analysis in research and potentially also in clinical practice.

Sestrin2 knockout exacerbates high-fat diet induced metabolic disorders and complications in female mice

BackgroundObesity and its associated complications raise significant public concern, revealing gender disparities in the susceptibility to metabolic disorders, with females often displaying greater resistance to obesity-related metabolic disorder than males. Sestrin2 is a crucial protein involved in metabolism and energy balance. This study seeks to explore whether Sesn2 knockout (KO) exacerbates high-fat diet (HFD) induced obesity in female mice.MethodsFemale mice with wild-type (WT) and Sesn2 KO were subjected to a 12-week regimen of normal diet or HFD. Using a Body Composition Analyzer, body composition was gauged. Biochemical assays encompassed glucose, lipid, and liver function measurements, alongside 24-hour urine albumin excretion. Echocardiographic evaluation assessed cardiac function. Histopathological analysis of key metabolic tissues (liver, kidney, and heart tissues) were conducted. Western blotting or qRT-PCR evaluated key proteins and genes linked to inflammation, mitochondrial, and lipid metabolism in adipose tissues.ResultsIn comparison to mice fed a regular diet, those on a HFD exhibited significant increases in body weight and fat mass. Notably, Sesn2 KO further aggravated obesity, showcasing the most pronounced metabolic anomalies: elevated body weight, fat mass, impaired glucose tolerance, and insulin sensitivity, alongside heightened levels of free fatty acids and triglycerides. Additionally, KO-HFD mice displayed exacerbated multi-tissue impairments, including elevated hepatic enzymes, increased urinary albumin excretion, compromised cardiac function, and accumulation of lipids in the liver, kidney, and heart. Moreover, adipose tissue showcased altered lipid dynamics and function, characterized by enhanced triglyceride breakdown and modified adipokine levels. Browning was diminished, along with decreased Pgc1α and Sirt1 in KO-HFD mice.ConclusionSesn2 KO exacerbates HFD-induced obesity and metabolic disorders in female mice. These findings underscore Sestrin2’s novel role as a regulator of obesity in female mice.