[Mechanism of berberine in improving adipocytic IR by mediating BMAL1:CLOCK complex and regulating glucose and lipid metabolism].

To explore the action mechanism of berberine in improving adipocytic insulin resistance(IR) by mediating brain and muscle arnt-like 1(BMAL1): circadian locomotor output cycles kaput(CLOCK) complex and regulating glucose and lipid metabolism. After the IR-3T3-L1 adipocyte model was established by dexamethasone induction for 96 h, 0.5, 1, 5, 10, and 20 µmol·L~(-1) berberine was administered for 24 h. The glucose oxidase method and cell counting kit-8(CCK-8) were used to detect extracellular glucose content and cell viability, respectively. The triglyceride(TG) and glycerol contents were detected by enzyme colorimetry. Oil red O staining was used to detect lipid droplets, and fluorescence staining was used to detect Ca~(2+), mitochondrial structure, and reactive oxygen species(ROS). Adiponectin(ADPN), BMAL1, CLOCK, hormone-sensitive triglyceride lipase(HSL), carbohydrate-response element-binding protein(ChREBP), sterol regulatory element-binding protein 1C(SREBP-1C), peroxisome proliferator-activated receptor γ coactivator 1α(PGC1α), carnitine palmitoyl transferase 1α(CPT1α), and peroxisome proliferator-activated receptor α(PPARα) were detected by Western blot(WB). Moreover, the nuclear localization of BMAL1 was detected by immunofluorescence. In addition, 20 µmol·L~(-1) CLK8 inhibitor was added to detect glucose consumption and BMAL1/ChREBP/PPARα protein. The results showed that berberine increased glucose consumption in IR-3T3-L1 adipocytes without affecting cell viability and reduced TG content. In addition, 5 µmol·L~(-1) berberine increased glycerol content and reduced lipid droplet accumulation due to enhanced lipolysis, while 10 µmol·L~(-1) berberine did not affect glycerol content, and fewer lipid droplets were observed due to enhanced lipolysis and glycerol utilization. Berberine improved mitochondrial function by reducing intracellular Ca~(2+) and ROS in IR-3T3-L1 adipocytes and upregulated PGC1α to improve the mitochondrial structure. The results also showed that berberine elevated ADPN to increase the insulin sensitivity of IR-3T3-L1 adipocytes, upregulated peripheral rhythm-related proteins BMAL1 and CLOCK, and strengthened the nuclear localization of BMAL1. In addition, berberine increased key lipolysis protein and lipid oxidation rate-limiting enzyme CPT1α and downregulated the key protein of TG synthesis, SREBP-1C. Moreover, ChREBP and PPARα in IR-3T3-L1 adipocytes were upregula-ted. All the above results suggested that berberine may transform glucose into lipids to enhance the hypoglycemic effect. By considering that CLK8 specifically inhibited the CLOCK acylation to modify BMAL1 and form complex, the results showed that the addition of CLK8 to the berberine group reduced glucose consumption, which suggested that berberine upregulated the formation of BMAL1:CLOCK complex to improve glucose metabolism. The addition of CLK8 to the berberine group upregulated BMAL1 but downregulated ChREBP and PPARα, which suggested that berberine mediated BMAL1:CLOCK complex for the regulation of glucose and lipid metabo-lism to improve adipocytic IR.

A novel role for thioredoxin-related transmembrane protein TMX4 in platelet activation and thrombus formation.

BACKGROUND: The functions of critical platelet proteins are controlled by thiol-disulfide exchanges, which are mediated by the protein disulfide isomerase (PDI) family. It has been shown that some PDI family members are important in platelet activation and thrombosis with distinct functions. TMX4, a membrane-type PDI family member, is expressed in platelets, whether it has a role in platelet activation remains unknown. OBJECTIVES: To determine the role of TMX4 in platelet activation and thrombosis. METHODS: The phenotypes of TMX4-deficient mice were evaluated in tail bleeding time assay and laser-induced and FeCl3-induced arterial injury models. The functions of TMX4 in platelets were assessed in vitro using TMX4-null platelets, recombinant TMX4 protein and anti-TMX4 antibody. RESULTS: Compared with the control mice, Tie2-Cre/TMX4fl/fl mice deficient of hematopoietic and endothelial TMX4 exhibited prolonged tail bleeding times and reduced platelet thrombus formation. Pf4-Cre/TMX4fl/fl mice deficient of platelet TMX4 also had prolonged tail bleeding times and decreased thrombus formation, which was rescued by injection of recombinant TMX4 protein. Consistently, TMX4 deficiency inhibited platelet aggregation, integrin αIIbß3 activation, P-selectin expression, phosphatidylserine exposure and thrombin generation, without affecting tyrosine phosphorylation of intracellular signaling molecules Syk, LAT and PLCγ2 and calcium mobilization. Recombinant TMX4 protein enhanced platelet aggregation and reduced integrin αIIbß3 disulfide bond, and TMX4 deficiency decreased free thiols of integrin αIIbß3, consistent with a potent reductase activity of TMX4. In contrast, an inactive TMX4 protein and a specific anti-TMX4 antibody inhibited platelet aggregation. CONCLUSIONS: TMX4 is a novel PDI family member that enhances platelet activation and thrombosis.

Knockdown of LncRNA-HAGLR restrains the viability and motility of pancreatic cancer via miR-625-5p/TAF15 axis in vitro and in vivo.

Dysregulation of long non-coding RNAs (lncRNAs) has been strongly involved to the development of pancreatic cancer (PC). However, the potential mechanisms by which lncRNA regulate PC development still need to be further explored. We attempted to elucidate the functional role and regulatory mechanism of lncRNA HAGLR on PC progression in vitro and vivo. RT-qPCR, Western blot, RNA pull-down, luciferase reporter assay, RNA immunoprecipitation assay, CCK-8 assay, EdU assay, flow cytometry, transwell assay and xenograft tumor experiment were performed in this study. We found that the expressions of HAGLR and TAF15 were increased in PC tissues and cells. HAGLR silencing restrained the PC cell growth and invasion, but induced cell apoptosis. Moreover, HAGLR targeted miR-625-5p to modulate the expression of TAF15. HAGLR overexpression partially eliminated the suppressive effect of TAF15 depletion on PC cell growth and the stimulative effect on apoptosis. In vivo assays showed that HAGLR knockdown inhibited PC cell growth by regulating the TAF15 expression. These findings suggest HAGLR could facilitate PC cell malignant behaviors through regulating the TAF15 expression, demonstrating that HAGLR might be a valuable target for the PC treatment.

Knockdown of PAIP1 Inhibits Breast Cancer Cell Proliferation by Regulating Cyclin E2 mRNA Stability.

Polyadenylate-binding protein-interacting protein 1 (PAIP1) is a protein that modulates translation initiation in eukaryotic cells. Studies have shown that PAIP1 was overexpressed in various type of cancers, and drives cancer progression by promoting cancer cell proliferation, invasion, and migration. In our previous study, we identified that PAIP1 was overexpressed in breast cancer, and the expression was correlated with poor prognosis. However, the biological function of PAIP1 in breast cancer has not been clearly understood. In this study, we constructed PAIP1 specifically silenced breast cancer cells. Then, cell proliferation, cell cycle distribution, and apoptosis were detected in PAIP1 knockdown cells. RNA-seq analysis was performed to predict the downstream target of PAIP1, and the molecular mechanism was explored. As a results, we found that knockdown of PAIP1 repressed cell proliferation, induced cell cycle arrest, and triggers apoptosis. Xenograft mouse model showed that knockdown of PAIP1 inhibits cell growth in vivo. RNA-seq predicted that CCNE2 mRNA was one of the downstream targets of PAIP1. In addition, we identified that knockdown of PAIP1-inhibited cell proliferation through modulating cyclin E2 expression. Mechanically, knockdown of PAIP1 reduces the expression of cyclin E2 by regulating the mRNA stability of cyclin E2. Moreover, in breast cancer tissues, we found that the expression of PAIP1 was positively correlated with cyclin E2. Taken together, our findings establish the role and mechanism of PAIP1 in breast cancer progression, indicating that PAIP1 would be a new therapeutic target for breast cancer treatment.

Comparison of Lung Tissue-Derived Extracellular Vesicles Using Multiple Dissociation Methods for Profiling Protein Biomarkers.

Extracellular vesicles (EVs) operate as chemical messengers that facilitate intercellular communication. Emerging evidence has demonstrated that lung tissue-derived EVs play pivotal roles in pulmonary physiological processes and have potential as biomarkers and therapeutics for lung diseases. Multiple methods have been proposed for the isolation of lung tissue-derived EVs. However, the effects of different tissue pre-treatments on lung EV isolation and subsequent disease biomarker discovery have not yet been comprehensively investigated. In this study, we compared the physical characteristics, recovery yields, and protein compositions of EVs isolated from lung tissues using three methods based on different tissue dissociation principles. Methodologically, the beneficial roles of blood perfusion and gentle meshing were emphasized based on their impact on EV yield and purity. These results demonstrate that different methods enrich distinct subpopulations of EVs that exhibit significant differences in their protein cargo and surface properties. These disparities directly affect the diagnostic detection of marker proteins related to lung diseases, including lung tumors, asthma, and pulmonary fibrosis. Collectively, these findings highlight the variations in EV characteristics resulting from the applied approaches and offer compelling suggestions for guiding researchers in selecting a suitable isolation method based on downstream functional studies and clinical applications.

Roles of extracellular vesicles derived from healthy and obese adipose tissue in inter-organ crosstalk and potential clinical implication.

Extracellular vesicles (EVs) are nanovesicles containing bioactive molecules including proteins, nucleic acids and lipids that mediate intercellular and inter-organ communications, holding promise as potential therapeutics for multiple diseases. Adipose tissue (AT) serves as a dynamically distributed energy storage organ throughout the body, whose accumulation leads to obesity, a condition characterized by infiltration with abundant immune cells. Emerging evidence has illustrated that EVs secreted by AT are the novel class of adipokines that regulate the homeostasis between AT and peripheral organs. However, most of the studies focused on the investigations of EVs derived from adipocytes or adipose-derived stem cells (ADSCs), the summarization of functions in cellular and inter-organ crosstalk of EVs directly derived from adipose tissue (AT-EVs) are still limited. Here, we provide a systemic summary on the key components and functions of EVs derived from healthy adipose tissue, showing their significance on the tissue recovery and metabolic homeostasis regulation. Also, we discuss the harmful influences of EVs derived from obese adipose tissue on the distal organs. Furthermore, we elucidate the potential applications and constraints of EVs from healthy patients lipoaspirates as therapeutic agents, highlighting the potential of AT-EVs as a valuable biological material with broad prospects for future clinical use.

Transmembrane thiol isomerase TMX1 counterbalances the effect of ERp46 to inhibit platelet activation and integrin αIIbß3 function.

Background: Previous studies have shown that thiol isomerases such as ERp46 positively regulate platelet function by reducing integrin αIIbß3 disulfides, and the transmembrane thiol isomerase TMX1 negatively regulates integrin αIIbß3 activation. However, whether and how the positive and negative thiol isomerases interact with each other and their interactions participate in platelet activation remain unknown. Objectives: To investigate whether and how TMX1 regulates the effect of ERp46 on platelet function. Methods: Using ERp46- and TMX1-deficient platelets, anti-TMX1 antibody, and wild-type TMX1 (TMX1-CPAC, TMX1-SS) and inactive TMX1 (TMX1-SPAS, TMX1-OO) proteins, we studied the antagonistic effect of TMX1 on ERp46 in platelet aggregation, clot retraction, and integrin αIIbß3 signaling. The underlying mechanisms were further determined using thiol labeling, reductase activity, and other assays. Results: Anti-TMX1 antibody and TMX1-OO reversed the decreased aggregation of ERp46-deficient platelets induced by thrombin, convulxin, and U46619. Anti-TMX1 antibody reversed the attenuated integrin αIIbß3 function of ERp46-deficient platelets. TMX1 inhibited ERp46 reductase activity in a concentration-dependent manner. TMX1 oxidized thiols of ERp46 and those of integrin αIIbß3 generated by ERp46. Moreover, TMX1 deficiency increased free thiols of ERp46 in platelets, which was reversed by the addition of wild-type TMX1 protein. Besides, anti-TMX1 antibody increased free thiols of ERp46 in wild-type activated platelets. Conclusion: TMX1 not only oxidizes integrin αIIbß3 disulfides that are reduced by ERp46 but also directly oxidizes ERp46 to suppress its reduction of integrin αIIbß3. Thus, TMX1 is critical for maintaining platelets in a quiescent state and counterbalancing the effect of ERp46 to prevent platelet overactivation.

Association of hidradenitis suppurativa (HS) with waist circumference: A bidirectional two-sample Mendelian randomization study of HS with metabolic syndrome.

Observational studies have suggested an associations between hidradenitis suppurativa (HS) and metabolic syndrome (MetS) and its components. However, it remains unclear whether the relationship is causal or not. Our study aimed to investigate the causal association of HS with MetS and its components. We performed a bidirectional, two-sample Mendelian randomization study using summary-level data from the most comprehensive genome-wide association studies of HS (n = 362 071), MetS (n = 291 107), waist circumference (n = 462 166), hypertension (n = 463 010) fasting blood glucose (FBG, n = 200 622), triglycerides (n = 441 016), and high-density lipoprotein cholesterol (HDL-C, n = 403 943). Genetic instrumental variables were constructed by identifying single nucleotide polymorphisms associated with the corresponding factors. The random-effects inverse-variance weighted method was applied as the primary method. The results showed that genetically predicted HS was positively associated with waist circumference risk in both directions. High waist circumference increased the risk of HS (odds ratio [OR] 4.147; 95% confidence interval [CI] 2.610-6.590; p = 1.746 × 10-9). In addition, HS was also affected by waist circumference (OR 1.009; 95% CI 1.006-1.012; p = 3.08 × 10-7). No causal relationships were found between HS and MetS or its components other than waist circumference. The findings highlight the importance of early intervention for obesity in HS patients. Further studies are needed to determine the pathophysiology of HS associated with MetS and its components.

Expression and pathogenesis of insulin-like growth factor-1 and insulin-like growth factor binding protein 3 in a mouse model of ulcerative colitis.

Background and aim: Insulin-like growth factor-1 may be involved in the epithelial-to-mesenchymal transition process. It can mitigate adverse effects when interacting with insulin-like growth factor binding protein 3. This study aimed to explore alterations in the expression of these two factors in the colonic tissue of mice with ulcerative colitis. Method: This study utilized animal models. Mice were randomly allocated into three distinct groups. Disease activity index assessment was performed first, followed by histological grading of colitis. Protein and mRNA expression levels were determined using Western blotting and RT-qPCR. Immunohistochemical detection was used to determine histochemistry scores. Pearson correlation and SPSS 25.0 software were used for data analysis. Results: The findings indicated a reduction in the expression of the two investigated factors as well as in epithelial-to-mesenchymal transition epithelial markers during inflammation, while the expression of noninflammatory factors increased. These effects were notably amplified following treatment. Interestingly, the changes in epithelial-to-mesenchymal transition-inducing factors and mesenchymal markers contradicted this trend. Pearson correlation analysis revealed a correlation between molecular indicators of change and epithelial-to-mesenchymal transition. Conclusion: Insulin-like growth factor-1 and insulin-like growth factor binding protein 3 may play a protective role in the development and progression of ulcerative colitis, potentially through their inhibition of the epithelial-to-mesenchymal transition. These factors hold promise as targets for the clinical diagnosis and treatment of ulcerative colitis.

Effects of fishing stress on fatty acid and amino acid composition and glycolipid metabolism in triploid rainbow trout.

Triploid Oncorhynchus mykiss is an important economic fish worldwide. Fishing stress can affect its growth and meat quality. This study first explored the effects of fishing stress on fatty acid and amino acid in triploid O. mykiss. Results showed fishing stress significantly reduced the content of docosadienoic acid, Gly, Arg, and DAA (P < 0.05). Targeted lipidomics analysis furthered suggested that some lipid molecules belonging to TG, DG, PC, Cer, ChE, and So were significantly up-regulated; while some lipid molecules belonging to Cer, LPE, LPC, PS, PC, and SM were significantly down-regulated, suggesting an accelerated glycolipid metabolism. Eventually, the glycolipid metabolism-related enzyme activity and gene expressions were examined, and the results indicated that O. mykiss was anti-oxidative stress by affecting relevant glycolipid metabolism signaling pathways and participating in cellular redox homeostasis. Findings of this study provide a theoretical foundation for further investigation into the mechanisms through which fishing stress affects O. mykiss.

Assessing structural uncertainty of biochemical regulatory networks in metabolic pathways under varying data quality.

Ordinary differential equation (ODE) models are powerful tools for studying the dynamics of metabolic pathways. However, key challenges lie in constructing ODE models for metabolic pathways, specifically in our limited knowledge about which metabolite levels control which reaction rates. Identification of these regulatory networks is further complicated by the limited availability of relevant data. Here, we assess the conditions under which it is feasible to accurately identify regulatory networks in metabolic pathways by computationally fitting candidate network models with biochemical systems theory (BST) kinetics to data of varying quality. We use network motifs commonly found in metabolic pathways as a simplified testbed. Key features correlated with the level of difficulty in identifying the correct regulatory network were identified, highlighting the impact of sampling rate, data noise, and data incompleteness on structural uncertainty. We found that for a simple branched network motif with an equal number of metabolites and fluxes, identification of the correct regulatory network can be largely achieved and is robust to missing one of the metabolite profiles. However, with a bi-substrate bi-product reaction or more fluxes than metabolites in the network motif, the identification becomes more challenging. Stronger regulatory interactions and higher metabolite concentrations were found to be correlated with less structural uncertainty. These results could aid efforts to predict whether the true metabolic regulatory network can be computationally identified for a given stoichiometric network topology and dataset quality, thus helping to identify optimal measures to mitigate such identifiability issues in kinetic model development.

H/F substitution achieves high piezoelectricity in enantiomeric molecular crystals.

Here, we successfully synthesized a pair of enantiomeric molecular piezoelectric materials by H/F substitution strategy. These compounds show a large piezoelectric coefficient d33 value of 25 pC N-1 measured by the quasi-static method. A simple energy harvesting device was fabricated based on this crystal, showing great potential in piezoelectric mechanical energy harvesters.

Non-target metabolomics unravels the effect and mechanism of Lianpu Drink on spleen-stomach damp-heat syndrome.

BACKGROUND: Lianpu Drink (LPY) is a classic prescription for treating spleen-stomach damp-heat syndrome (SSDHS), known for its ability to clear heat and eliminate dampness. However, the underlying mechanisms of LPY in treating SSDHS remain unclear. OBJECTIVES: This study aims to use non-target metabolomics to unravel the effects and mechanisms of LPY on SSDHS. METHODS: A metabolomics technique based on ultra-high-performance liquid chromatography-tandem quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to identify the endogenous small-molecule metabolites in the urine of SSDHS model rats and find the metabolites associated with the LPY treatment of SSDHS. Furthermore, a network pharmacological analysis and molecular docking experiments were used to screen and validate the key metabolic pathways regulated by LPY. RESULTS: LPY exerted therapeutic effects on SSDHS by increasing the levels of motilin and gastrin, reducing the rectal temperature, alleviating the pathological changes in gastric and colonic tissues, and regulating the metabolic pattern in SSDHS rats. A total of 25 different metabolites, including L-histidine, citric acid and isocitric acid, were identified as the potential biomarkers for SSDHS via metabolomics. Among them, 11 metabolites were substantially reversed by LPY, including L-histidine, citric acid, isocitric acid, pantothenic acid, homovanillic acid sulfate, hippuric acid, indole-3-carboxilic acid-O-sulphate, 6-hydroxy-5-methoxyindole glucuronide, 2-phenylethan-ol glucuronide, 3-hydroxydodecanedioic acid and 3-methoxy-4-hydroxy-phenylethyleneglyclol sulfate. The results of network pharmacological analysis and molecular docking experiments validated that LPY ameliorated SSDHS by regulating the citrate cycle and histidine metabolism. CONCLUSION: We preliminarily investigated the effects and mechanisms of LPY on SSDHS at the level of endogenous small-molecule metabolites. Furthermore, this study provides a novel perspective for objectively evaluating the therapeutic effects, and exploring the mechanisms of Chinese medicinal formulas on SSDHS.

Prognostic mutations identified by whole-exome sequencing and validation of the Molecular International Prognostic Scoring System in myelodysplastic syndromes after allogeneic haematopoietic stem cell transplantation.

In this study, we used the whole-exome sequencing (WES) approach to obtain genomic profiles from 92 marrow samples of myelodysplastic syndrome (MDS) patients before haematopoietic stem cell transplantation. We identified 129 mutations in 45 driver genes. Fifty-five patients (59.8%) carried at least 1 driver mutation. The splicing factor U2AF1 was the most frequently mutated in the cohort (21 cases, 23%), followed by BCOR (9 cases, 10%), ASXL1 (8 cases, 9%), TET2 (6 cases, 7%), NPM1 (5 cases, 5%), RUNX1 (5 cases, 5%), and SETBP1 (5 cases, 5%). WES also identified 49 possible oncogenic variants in six genes (PIEZO1, LOXHD1, MYH13, DNAH5, DPH1, and USH2A) that were associated with overall survival (OS) or relapse-free survival (RFS) in MDS after transplantation. Multivariate analysis showed mutations in DNAH5 and USH2A to be independent risk factors for OS. Mutations in DNAH5 and LOXHD1 were risk factors for worse RFS. The Molecular International Prognostic Scoring System retained its independent prognostic significance for RFS after multivariate analysis.

Is the coupling and coordination of economic, social and environmental development crucial to the governance of relative poverty?

As the primary goal of the 17 Sustainable Development Goals (SDGs), poverty eradication is still one of the major challenges faced by countries around the world, and relative poverty is a comprehensive poverty pattern triggered by the superposition of economic, social, and environmental dimensions. Therefore, Therefore, this paper introduces the perspective of coupled coordination to consider the formation of relative poverty, constructs indicators in three major dimensions: economic, social, and environmental, proposes a fast and more accurate method of identifying relative poverty in a region by using machine learning, measures the degree of coupled coordination of China's relatively poor provinces using a coupled coordination model and analyzes the relationship with the level of relative poverty, and puts forward suggestions for poverty management on this basis using typology classification. The results of the study show that: 1) the fusion of data crawlers, remote sensing space, and other multi-source data to construct the dataset and propose a fast and efficient regional relative poverty identification method based on big data with low comprehensive cost and high identification accuracy of 0.914. 2) Currently, 70.83% of the economic-social-environmental systems of the relatively poor regions are in the dysfunctional type and are in a state of disordered development and malignant constraints. The regions showing coupling disorders are mainly clustered in the three southern prefectures of Xinjiang, Qinghai, Gansu, Yunnan, and Sichuan, and their spatial distribution is relatively concentrated. 3) The types of poverty and their coupled and coordinated development in each region show large spatial variability, requiring differentiated poverty eradication countermeasures tailored to local conditions to achieve sustainable regional economic-social-environmental development.

Targeted Reprogramming of Pathogenic Fibroblast Genes at the 3'-Untranslated Regions by DNA Nanorobots for Periodontitis.

Periodontitis, with its persistent nature, causes significant distress for most sufferers. Current treatments, such as mechanical cleaning and surgery, often fail to fully address the underlying overactivation of fibroblasts that drives this degradation. Targeting the post-transcriptional regulation of fibroblasts, particularly at the 3'-untranslated regions (3'UTR) of pathogenic genes, offers a therapeutic strategy for periodontitis. Herein, we developed a DNA nanorobot for this purpose. This system uses a dynamic DNA nanoframework to incorporate therapeutic microRNAs through molecular recognition and covalent bonds, facilitated by DNA monomers modified with disulfide bonds. The assembled-DNA nanoframework is encapsulated in a cell membrane embedded with a fibroblast-targeting peptide. By analyzing the 3'UTR regions of pathogenic fibroblast genes FOSB and JUND, we identified the therapeutic microRNA as miR-1-3p and integrated it into this system. As expected, the DNA nanorobot delivered the internal components to fibroblasts by the targeting peptide and outer membrane that responsively releases miR-1-3p under intracellular glutathione. It resulted in a precise reduction of mRNA and suppression of protein function in pathogenic genes, effectively reprogramming fibroblast behavior. Our results confirm that this approach not only mitigates the inflammation but also promotes tissue regeneration in periodontal models, offering a promising therapeutic avenue for periodontitis.

Differential white blood cell count and epigenetic clocks: a bidirectional Mendelian randomization study.

BACKGROUND: Human aging and white blood cell (WBC) count are complex traits influenced by multiple genetic factors. Predictors of chronological age have been developed using epigenetic clocks. However, the bidirectional causal effects between epigenetic clocks and WBC count have not been fully examined. METHODS: This study employed Mendelian randomization (MR) to analyze summary statistics from four epigenetic clocks involving 34,710 participants, alongside data from the Blood Cell Consortium encompassing 563,946 individuals. We primarily explored bidirectional causal relationships using the random-effects inverse-variance weighted method, supplemented by additional MR methods for comprehensive analysis. Additionally, multivariate MR was applied to investigate independent effects of WBC count on epigenetic age acceleration. RESULTS: In the two-sample univariate MR (UVMR) analysis, we observed that a decrease in lymphocyte count markedly accelerated aging according to the PhenoAge, GrimAge, and HannumAge metrics (all P < 0.01, ß < 0), though it did not affect Intrinsic Epigenetic Age Acceleration (IEAA). Conversely, an increase in neutrophil count significantly elevated PhenoAge levels (ß: 0.38; 95% CI 0.14, 0.61; P = 1.65E-03 < 0.01). Reverse MR revealed no significant causal impacts of epigenetic clocks on overall WBC counts. Furthermore, in multivariate MR, the impact of lymphocyte counts on epigenetic aging metrics remained statistically significant. We also identified a marked causal association between neutrophil counts and PhenoAge, GrimAge, and HannumAge, with respective results showing strong associations (PhenoAge ß: 0.78; 95% CI 0.47, 1.09; P = 8.26E-07; GrimAge ß: 0.55; 95% CI 0.31, 0.79; P = 5.50E-06; HannumAge ß: 0.42; 95% CI 0.18, 0.67; P = 6.30E-04). Likewise, eosinophil cell count demonstrated significant association with HannumAge (ß: 0.33; 95% CI 0.13, 0.53; P = 1.43E-03 < 0.01). CONCLUSION: These findings demonstrated that within WBCs, lymphocyte and neutrophil counts exert irreversible and independent causal effects on the acceleration of PhenoAge, GrimAge, and HannumAge. Our findings highlight the critical role of WBCs in influencing epigenetic clocks and underscore the importance of considering immune parameters when interpreting epigenetic age.

Risk predictive model for the development of hepatocellular carcinoma before initiating long-term antiviral therapy in patients with chronic hepatitis B virus infection.

It is generally acknowledged that antiviral therapy can reduce the incidence of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), there remains a subset of patients with chronic HBV infection who develop HCC despite receiving antiviral treatment. This study aimed to develop a model capable of predicting the long-term occurrence of HCC in patients with chronic HBV infection before initiating antiviral therapy. A total of 1450 patients with chronic HBV infection, who received initial antiviral therapy between April 2006 and March 2023 and completed long-term follow-ups, were nonselectively enrolled in this study. Least absolute shrinkage and selection operator (LASSO) and Cox regression analysis was used to construct the model. The results were validated in an external cohort (n = 210) and compared with existing models. The median follow-up time for all patients was 60 months, with a maximum follow-up time of 144 months, during which, 32 cases of HCC occurred. The nomogram model for predicting HCC based on GGT, AFP, cirrhosis, gender, age, and hepatitis B e antibody (TARGET-HCC) was constructed, demonstrating a good predictive performance. In the derivation cohort, the C-index was 0.906 (95% CI = 0.869-0.944), and in the validation cohort, it was 0.780 (95% CI = 0.673-0.886). Compared with existing models, TARGET-HCC showed promising predictive performance. Additionally, the time-dependent feature importance curve indicated that gender consistently remained the most stable predictor for HCC throughout the initial decade of antiviral therapy. This simple predictive model based on noninvasive clinical features can assist clinicians in identifying high-risk patients with chronic HBV infection for HCC before the initiation of antiviral therapy.

A new transfer entropy method for measuring directed connectivity from complex-valued fMRI data.

Background: Inferring directional connectivity of brain regions from functional magnetic resonance imaging (fMRI) data has been shown to provide additional insights into predicting mental disorders such as schizophrenia. However, existing research has focused on the magnitude data from complex-valued fMRI data without considering the informative phase data, thus ignoring potentially important information. Methods: We propose a new complex-valued transfer entropy (CTE) method to measure causal links among brain regions in complex-valued fMRI data. We use the transfer entropy to model a general non-linear magnitude-magnitude and phase-phase directed connectivity and utilize partial transfer entropy to measure the complementary phase and magnitude effects on magnitude-phase and phase-magnitude causality. We also define the significance of the causality based on a statistical test and the shuffling strategy of the two complex-valued signals. Results: Simulated results verified higher accuracy of CTE than four causal analysis methods, including a simplified complex-valued approach and three real-valued approaches. Using experimental fMRI data from schizophrenia and controls, CTE yields results consistent with previous findings but with more significant group differences. The proposed method detects new directed connectivity related to the right frontal parietal regions and achieves 10.2-20.9% higher SVM classification accuracy when inferring directed connectivity using anatomical automatic labeling (AAL) regions as features. Conclusion: The proposed CTE provides a new general method for fully detecting highly predictive directed connectivity from complex-valued fMRI data, with magnitude-only fMRI data as a specific case.