Metabolic associated fatty liver disease (MAFLD) is fundamentally driven by an imbalance in hepatic fatty-acid flux: the influx of fatty acids exceeds the liver’s capacity for disposal, resulting in excessive hepatic lipid accumulation, predominantly in the form of triglycerides (TGs). The occurrence and progression of MAFLD depend on disordered regulation across multiple metabolic steps, including fatty-acid uptake, de novo lipogenesis (DNL), fatty-acid oxidation (FAO), and very low-density lipoprotein (VLDL) export. Forkhead box protein O1 (FOXO1) is a key transcriptional regulator within the hepatic network coordinating glucose and lipid metabolism. Under metabolic stress and insulin resistance (IR), FOXO1 expression is frequently increased, whereas its inhibitory phosphorylation is reduced. These changes enhance FOXO1 nuclear localization and transcriptional activity, thereby reprogramming the expression of genes related to metabolism in the liver. Because hepatic lipid deposition is the central pathological feature of MAFLD, the functional status of FOXO1 directly influences hepatic lipid homeostasis. Growing evidence suggests that FOXO1 can exert bidirectional, environment-dependent effects on hepatic lipid accumulation; however, the molecular basis for this functional switch remains incompletely understood. This review systematically summarizes the biological functions and regulatory mechanisms of FOXO1 and its roles in hepatic lipid metabolism, with a particular focus on its crosstalk with insulin signaling. FOXO1 expression is shaped by RNA modifications and epigenetic regulation mediated by non-coding RNAs. Its transcriptional output is precisely governed by post-translational modifications—such as phosphorylation and acetylation—as well as by coordinated nucleocytoplasmic shuttling. Notably, these regulatory patterns vary markedly across nutritional states, degrees of insulin resistance, and stages of disease. In the fed state, insulin/IGF-1 signaling activates the PI3K-AKT pathway, promoting the inhibitory phosphorylation of FOXO1 and facilitating additional modifications, including acetylation, methylation, and ubiquitination. Together, these events drive FOXO1 export from the nucleus and dampen its transcriptional activity, suppressing gluconeogenesis and constraining lipogenic programs. Conversely, during fasting or when insulin signaling is weakened, FOXO1 inhibition is relieved. FOXO1 accumulates in the nucleus, binds to DNA, and regulates the transcription of downstream target genes. Mechanistically, FOXO1 can aggravate hepatic lipid accumulation by activating genes involved in TG synthesis while repressing FAO-related pathways, thereby favoring storage over oxidation. However, under specific conditions, FOXO1 may also alleviate the hepatic lipid burden by promoting TG hydrolysis and enhancing VLDL secretion, thereby reducing the net hepatic lipid load. In addition, lipotoxic signals mediated by ceramides and diacylglycerols (Cer/DAG) activate atypical protein kinase C (aPKC), further exacerbating the disruption of the AKT-FOXO1 axis. This vicious cycle ultimately produces a metabolic paradox in which increased hepatic glucose output coexists with persistent, insulin-independent lipogenesis, accelerating MAFLD progression. Importantly, FOXO1 regulation is not uniform: during early metabolic overload, insulin-mediated suppression may remain effective, whereas in advanced insulin resistance, the loss of AKT control permits sustained FOXO1 activity. Such stage-dependent dynamics may help explain why FOXO1 can either promote steatosis or, in certain contexts, support programs that facilitate lipid turnover. Accordingly, interventions should be liver-specific and tuned to the disease stage, aiming to curb maladaptive FOXO1 signaling while preserving its capacity to promote triglyceride hydrolysis and VLDL secretion when advantageous. Overall, this review offers an important perspective on MAFLD pathogenesis, emphasizing FOXO1 as a potential therapeutic target and providing a theoretical basis for developing liver-specific, disease-course-dependent precision interventions.

Objective:To explore the correlation between ASXL1 gene mutation characteristics and clinical manifestations and prognosis in patients with myelodysplastic syndrome(MDS).Methods:The clinical date of 264 patients with MDS in Xuzhou Central Hospital,Southeast University from August 2010 to April 2024 was retrospectively analyzed.The patients were divided into ASXL1wt group and ASXL1mut group according to the presence of ASXL1 gene mutation,and the correlation between gene mutation characteristics and clinical manifestations and prognosis was analyzed.Results:Compared with ASXL1wt group,the ASXL1mut group had a higher age of onset(P＜0.05),a higher proportion of males(P＜0.05),while the incidence of del(5q)was lower(P＜0.01).The mutation frequency of ASXL1 in MDS patients was 21.97％,and most of them were frameshift mutations.The p.Gly646fs was the most common amino acid variant,with a mutation frequency of 20.69％.The median overall survival(OS)and leukemia-free survival of patients with this sequence variant was 18.1 and 23.8 months,respectively,while in those without this sequence variant was 30 months and not reached,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that the mutation of NRAS,WT1,KIT gene and the p.Gly646fs sequence mutation of ASXL1 gene were independent prognostic factors for OS in ASXL1mut patients.The median OS of ASXL1wt and ASXL1mut patients was 27.9(21.3-40.4)and 23.7(18.6-NA)months,respectively(P＞0.05).Among 58 ASXL1mut patients,5 cases(8.6％)transformed to acute leukemia,including 3 cases with RUNX1 mutation and 3 cases with TET2 mutation.Among 206 ASXL1wt patients,28 cases(13.6％)transformed to acute leukemia.The difference in leukemia transformation rate between the two groups was not statistically significant(P＞0.05).The efficacy of different treatment regimens was similar in the ASXL1mut group,while in the ASXL1wt group,patients receiving allogeneic hematopoietic stem cell transplantation had a significantly better prognosis than those receiving other treatment regimens(P＜0.001).The overall response rate to demethylation therapy was 68.7％and 67.6％in ASXL1mut and ASXL1wt group,respectively,and the difference between the two groups was not significant(P＞0.05).Conclusion:The overall survival of MDS patients with ASXL1mut is poor.The patients with p.Gly646fs sequence mutation have a higher proportion of bone marrow blasts and a worse prognosis.There are no statistical differences in efficacy of different treatment strategies in ASXL1mut group.ASXL1 mutation shows no significant effect on the response of MDS to hypomethylating agent therapy.

Objective:To explore the correlation between ASXL1 gene mutation characteristics and clinical manifestations and prognosis in patients with myelodysplastic syndrome(MDS).Methods:The clinical date of 264 patients with MDS in Xuzhou Central Hospital,Southeast University from August 2010 to April 2024 was retrospectively analyzed.The patients were divided into ASXL1wt group and ASXL1mut group according to the presence of ASXL1 gene mutation,and the correlation between gene mutation characteristics and clinical manifestations and prognosis was analyzed.Results:Compared with ASXL1wt group,the ASXL1mut group had a higher age of onset(P＜0.05),a higher proportion of males(P＜0.05),while the incidence of del(5q)was lower(P＜0.01).The mutation frequency of ASXL1 in MDS patients was 21.97％,and most of them were frameshift mutations.The p.Gly646fs was the most common amino acid variant,with a mutation frequency of 20.69％.The median overall survival(OS)and leukemia-free survival of patients with this sequence variant was 18.1 and 23.8 months,respectively,while in those without this sequence variant was 30 months and not reached,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that the mutation of NRAS,WT1,KIT gene and the p.Gly646fs sequence mutation of ASXL1 gene were independent prognostic factors for OS in ASXL1mut patients.The median OS of ASXL1wt and ASXL1mut patients was 27.9(21.3-40.4)and 23.7(18.6-NA)months,respectively(P＞0.05).Among 58 ASXL1mut patients,5 cases(8.6％)transformed to acute leukemia,including 3 cases with RUNX1 mutation and 3 cases with TET2 mutation.Among 206 ASXL1wt patients,28 cases(13.6％)transformed to acute leukemia.The difference in leukemia transformation rate between the two groups was not statistically significant(P＞0.05).The efficacy of different treatment regimens was similar in the ASXL1mut group,while in the ASXL1wt group,patients receiving allogeneic hematopoietic stem cell transplantation had a significantly better prognosis than those receiving other treatment regimens(P＜0.001).The overall response rate to demethylation therapy was 68.7％and 67.6％in ASXL1mut and ASXL1wt group,respectively,and the difference between the two groups was not significant(P＞0.05).Conclusion:The overall survival of MDS patients with ASXL1mut is poor.The patients with p.Gly646fs sequence mutation have a higher proportion of bone marrow blasts and a worse prognosis.There are no statistical differences in efficacy of different treatment strategies in ASXL1mut group.ASXL1 mutation shows no significant effect on the response of MDS to hypomethylating agent therapy.

This study was aimed at developing an in vitro fluorescent substrate assay for the activity of leucyl aminopeptid-ase(LAP)from Echinococcus multilocularis and comparing it with the chemical chromogenic substrate enzyme activity assay.Through the establishment of reaction conditions for the fluorescent substrate-based in vitro enzyme activity assay,we com-pared the differences between the fluorescent substrate L-Leucine-7-amido-4-methylocoumarin(Leu-AMC)and the chemical chromogenic substrate L-Leucine-4-nitroanilide(Leu-pNA)through molecular docking,inhibition rates,and precision measures.Molecular docking revealed that the fluorescent substrate Leu-AMC had higher affinity for the protein than the chemical chromogenic substrate Leu-pNA.Through analysis of the effects of varying reaction conditions on fluorescence intensi-ty,we optimized the fluorescent substrate enzyme activity assay to demonstrate favorable performance at a reaction temperature of 37℃,a pH of 9.0,a protein concentration of 800 nmol/L,and a reaction duration of 60 minutes.Leu-AMC exhibited significant and distinct responses at a 5 μmol/L substrate concentration,under varying substrate conditions.The fluo-rescent substrate assay demonstrated more significant intergroup differences than the chemical chromogenic substrate assay when various inhibitors were added.This study established a fluorescence-based enzyme activity assay for leucyl aminopeptidase from Echinococcus multilocularis by using Leu-AMC as the substrate;this method demonstrated a more significant intergroup difference and sensitivity than the chemical chromogenic substrate assay.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

OBJECTIVE: Exposure to polycyclic aromatic hydrocarbons (PAHs) or metal(loid)s individually has been associated with neural tube defects (NTDs). However, the impacts of PAH and metal(loid) co-exposure and potential interaction effects on NTD risk remain unclear. We conducted a case-control study in China among population with a high prevalence of NTDs to investigate the combined effects of PAH and metal(loid) exposures on the risk of NTD. METHODS: Cases included 80 women who gave birth to offspring with NTDs, whereas controls were 50 women who delivered infants with no congenital malformations. We analyzed the levels of placental PAHs using gas chromatography and mass spectrometry, PAH-DNA adducts with ³²P-post-labeling method, and metal(loid)s with an inductively coupled plasma mass spectrometer. Unconditional logistic regression was employed to estimate the associations between individual exposures and NTDs. Least absolute shrinkage and selection operator (LASSO) penalized regression models were used to select a subset of exposures, while additive interaction models were used to identify interaction effects. RESULTS: In the single-exposure models, we found that eight PAHs, PAH-DNA adducts, and 28 metal(loid)s were associated with NTDs. Pyrene, selenium, molybdenum, cadmium, uranium, and rubidium were selected through LASSO regression and were statistically associated with NTDs in the multiple-exposure models. Women with high levels of pyrene and molybdenum or pyrene and selenium exhibited significantly increased risk of having offspring with NTDs, indicating that these combinations may have synergistic effects on the risk of NTDs. CONCLUSION Our findings suggest that individual PAHs and metal(loid)s, as well as their interactions, may be associated with the risk of NTDs, which warrants further investigation.
Humans ; Neural Tube Defects/chemically induced* ; Polycyclic Aromatic Hydrocarbons/adverse effects* ; Female ; Case-Control Studies ; China/epidemiology* ; Adult ; Pregnancy ; Environmental Pollutants ; Maternal Exposure/adverse effects* ; Metals/toxicity* ; Young Adult ; Risk Factors

Objective To investigate the high-risk factors associated with acute postoperative hypertension (APH) following laparoscopic sleeve gastrectomy(LSG) in obese patients and to establish a predictive model. Methods A retrospective analysis was conducted on clinical data and laboratory parameters of obese patients who underwent LSG at Department of Metabolic Surgery in our hospital from August 2021 to December 2023. Logistic-LASSO regression analysis was used to identify independent risk factors for APH. A nomogram predictive model was developed based on these factors. The predictive performance and clinical utility of the model were assessed using the receiver operating characteristic (ROC) curve, Bootstrap resampling, calibration curve, Hosmer-Lemeshow (H-L) test, decision curve analysis (DCA), and clinical impact curve (CIC). Results The incidence of APH was 55.90%. Body mass index (BMI), platelet count, globulin, uric acid, sodium, fibrinogen, fasting blood glucose, and preoperative diastolic pressure had potential predictive value. Among them, BMI (OR=1.066, 95% CI: 1.003-1.137, P=0.046), platelet count (OR=0.994, 95% CI: 0.998-0.999, P=0.027), fibrinogen (OR=1.943, 95% CI: 1.128-3.479, P=0.02), and preoperative diastolic blood pressure (OR=0.953, 95% CI: 0.918-0.985, P = 0.006) were identified as independent high-risk factors. The area under the curve (AUC) of the nomogram was 0.783 (95% CI: 0.711-0.855), with a sensitivity of 0.817 and a specificity of 0.689. The AUC based on Bootstrap resampling was 0.776 (95% CI: 0.702-0.849). The H-L test yielded P>0.05, and the calibration curve showed good model fit. Both DCA and CIC demonstrated favorable screening efficiency. Conclusions BMI, platelet count, fibrinogen, and preoperative diastolic blood pressure are independent high-risk factors for APH following LSG. The developed nomogram model exhibits good predictive performance and clinical applicability, providing a valuable tool for early screening and prevention of APH in LSG patients.

Cold has been a long-term survival challenge in the evolutionary process of mammals. In response to cold stress, in addition to brown adipose tissue (BAT) dissipating energy as heat through glucose and lipid oxidation to maintain body temperature, cold stimulation can strongly activate thermogenesis and energy expenditure in beige fat cells, which are widely distributed in the subcutaneous layer. However, the effects of cold stimulation on other tissues and systemic lipid metabolism remain unclear. Our previous research indicated that, under cold stress, BAT not only produces heat but also secretes numerous exosomes to mediate BAT-liver crosstalk. Whether subcutaneous fat has a similar mechanism is still unknown. Therefore, this study aimed to investigate the alterations in lipid metabolism across various tissues under cold exposure and to explore whether subcutaneous fat regulates systemic glucose and lipid metabolism via exosomes, thereby elucidating the regulatory mechanisms of lipid metabolism homeostasis under physiological stress. RT-qPCR, Western blot, and H&E staining methods were used to investigate the physiological changes in lipid metabolism in the serum, liver, epididymal white adipose tissue, and subcutaneous fat of mice under cold stimulation. The results revealed that cold exposure significantly enhanced the thermogenic activity of subcutaneous adipose tissue and markedly increased exosome secretion. These exosomes were efficiently taken up by hepatocytes, where they profoundly influenced hepatic lipid metabolism, as evidenced by alterations in the expression levels of key genes involved in lipid synthesis and catabolism pathways. This study has unveiled a novel mechanism by which subcutaneous fat regulates lipid metabolism through exosome secretion under cold stimulation, providing new insights into the systemic regulatory role of beige adipocytes under cold stress and offering a theoretical basis for the development of new therapeutic strategies for obesity and metabolic diseases.
Animals ; Lipid Metabolism/physiology* ; Mice ; Exosomes/metabolism* ; Cold Temperature ; Subcutaneous Fat/physiology* ; Thermogenesis/physiology* ; Adipose Tissue, Brown/metabolism* ; Male