Physical activity before and after cancer diagnosis and mortality risk in three large prospective cohorts.

PURPOSE: Physical activity (PA) can improve cancer survival; however, whether the timing of PA differentially affects mortality risk is unclear. We evaluated the association between PA levels pre- and post-diagnosis and mortality risk in the Women's Health Study (WHS), Physicians' Health Study (PHS)-I, and PHS-II prospective cohorts. METHODS: We categorized PA pre- and post-diagnosis as active (WHS: ≥ 7.5 metabolic equivalent (MET)-h/week; PHS: vigorous PA ≥ 2-4 times/week) or inactive. We analyzed changes in pre- and post-diagnosis PA levels as four joint categories: (1) Inactive → Inactive, (2) Active → Inactive, (3) Inactive → Active, and (4) Active → Active, on mortality risk using multivariable Cox proportional hazards regression. RESULTS: We identified 10,541 participants with incident cancer and 3,696 deaths during follow-up. Compared to maintaining inactivity in both periods, remaining active pre- and post-diagnosis observed lower all-cause (Hazard Ratio [95% confidence interval]: WHS: 0.55 [0.47-0.64]; PHS-I: 0.77 [0.67-0.88]), cancer (WHS: 0.55 [0.45-0.67]; PHS-I: 0.75; [0.61-0.92]) and non-cancer/cardiovascular disease (CVD) mortality risks (WHS: 0.49 [0.38-0.65]). Similarly, becoming active post-diagnosis was associated with lower all-cause (WHS: 0.60 (0.48-0.75]; PHS-I: 0.72 [0.61-0.88]), cancer (WHS: 0.65 [0.49-0.86]; PHS-I: 0.64 [0.49-0.84]), and non-cancer/CVD mortality risk (WHS: 0.49 [0.33-0.75]). Being active pre- and post-diagnosis was associated with lower mortality risks in separate analyses, although significance differed by cohort and outcome. CONCLUSIONS: Remaining active pre- and post-diagnosis and becoming active post-diagnosis may be associated with improvements in cancer survival, however, research is needed across diverse cancer populations.

Fluxomic, Metabolomic, and Transcriptomic Analyses Reveal Metabolic Responses to Phenazine-1-carboxamide Synthesized in Pseudomonas chlororaphis.

Phenazine-1-carboxamide (PCN) has been exploited as a successful biopesticide due to its broad-spectrum antifungal activity. We engineered a PCN-overproducing Pseudomonas chlororaphis strain through overexpressing shikimate pathway genes (aroB, aroQ, aroE, and phzC) and deleting negative regulatory genes (relA, fleQ, and pykF). The optimized strain produced 1.92 g/L PCN with a yield of 0.11 g/g glycerol, the highest titer ever reported by using minimal media. To gain deeper insights into the underlying regulatory network, the final strain and the parental strain were examined using three distinct omic data sets. 13C-metabolic flux analysis revealed a substantial flux reconfiguration in the optimized strain, including the activation of the EDEMP cycle, the PP pathway, the glyoxylate shunt, and the shikimate pathway. Metabolomic results indicated that central carbon was rerouted to the shikimate pathway. Transcriptomic data identified global gene expression changes. This study forms the basis for further engineering of strains to achieve outstanding performance.

Shared diagnostic genes and potential mechanisms between polycystic ovary syndrome and recurrent miscarriage revealed by integrated transcriptomics analysis and machine learning.

Objective: More and more studies have found that polycystic ovary syndrome (PCOS) is significantly associated with recurrent spontaneous abortion (RSA), but the specific mechanism is not yet clear. Methods: Based on the GEO database, we downloaded the PCOS (GSE10946, GSE6798 and GSE137684) and RSA (GSE165004, GSE26787 and GSE22490) datasets and performed differential analysis, weighted gene co-expression network (WGCNA), functional enrichment, and machine learning, respectively, on the datasets of the two diseases, Nomogram and integrated bioinformatics analysis such as immune infiltration analysis. Finally, the reliability of the diagnostic gene was verified by external verification and collection of human specimens. Results: In this study, PCOS and RSA datasets were obtained from Gene Expression Omnibus (GEO) database, and a total of 23 shared genes were obtained by differential analysis and WGCNA analysis. GO results showed that the shared genes were mainly enriched in the functions of lipid catabolism and cell cycle transition (G1/S). DO enrichment revealed that shared genes are mainly involved in ovarian diseases, lipid metabolism disorders and psychological disorders. KEGG analysis showed significant enrichment of Regulation of lipolysis in adipocytes, Prolactin signaling pathway, FoxO signaling pathway, Hippo signaling pathway and other pathways. A diagnostic gene FAM166 B was obtained by machine learning and Nomogram screening, which mainly played an important role in Cellular component. GSEA analysis revealed that FAM166B may be involved in the development of PCOS and RSA by regulating the cell cycle, amino acid metabolism, lipid metabolism, and carbohydrate metabolism. CIBERSORT analysis showed that the high expression of FAM166 B was closely related to the imbalance of multiple immune cells. Further verification by qPCR suggested that FAM166 B could be used as a common marker of PCOS and RSA. Conclusions: In summary, this study identified FAM166B as a common biomarker for PCOS and RSA, and conducted in-depth research and analysis of this gene, providing new data for basic experimental research and early prognosis, diagnosis and treatment of clinical diseases.

Single-cell atlases reveal leaf cell-type-specific regulation of metal transporters in the hyperaccumulator Sedum alfredii under cadmium stress.

Hyperaccumulation in plants is a complex and dynamic biological process. Sedum alfredii, the most studied Cd hyperaccumulator, can accumulate up to 9000 mg kg-1 Cd in its leaves without suffering toxicity. Although several studies have reported the molecular mechanisms of Cd hyperaccumulation, our understanding of the cell-type-specific transcriptional regulation induced by Cd remains limited. In this study, the first full-length transcriptome of S. alfredii was generated using the PacBio Iso-Seq technology. A total of 18,718,513 subreads (39.90 Gb) were obtained, with an average length of 2133 bp. The single-cell RNA sequencing was employed on leaves of S. alfredii grown under Cd stress. A total of 12,616 high-quality single cells were derived from the control and Cd-treatment samples of S. alfredii leaves. Based on cell heterogeneity and the expression profiles of previously reported marker genes, seven cell types with 12 transcriptionally distinct cell clusters were identified, thereby constructing the first single-cell atlas for S. alfredii leaves. Metal transporters such as CAX5, COPT5, ZIP5, YSL7, and MTP1 were up-regulated in different cell types of S. alfredii leaves under Cd stress. The distinctive gene expression patterns of metal transporters indicate special gene regulatory networks underlying Cd tolerance and hyperaccumulation in S. alfredii. Collectively, our findings are the first observation of the cellular and molecular responses of S. alfredii leaves under Cd stress and lay the cornerstone for future hyperaccumulator scRNA-seq investigations.

Correlation and predictive value of systemic immune-inflammation index for dyslipidemia in patients with polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome(PCOS) is one of the main factors leading to infertility in women of reproductive age, which is often accompanied by metabolic changes such as obesity and chronic low-grade inflammation. Chronic inflammation may play an important role in the occurrence and development of metabolic diseases. Therefore, it is of great significance to explore the relationship between abnormal lipid metabolism and inflammation in PCOS patients. This study aims to analyze the correlation between systemic immune-inflammatory(SII) markers and dyslipidemia in patients with PCOS and their value in early diagnosis. METHODS: A total of 617 PCOS patients aged 20-35 years (according to the Rotterdam diagnostic criteria) who visited the Reproductive Center of the First Hospital of Lanzhou University from January 2020 to December 2022 were included. According to the presence or absence of dyslipidemia, the patients were divided into normal lipid metabolism group and abnormal lipid metabolism group. The clinical data of the patients were collected and analyzed by SPSS software. RESULTS: There were 454 patients with normal lipid metabolism and 163 patients with abnormal lipid metabolism. The SII level of the abnormal lipid metabolism group was higher than that of the normal group. As the SII quartile increased, TC, TG and LDL increased, while HDL decreased accordingly. The SII level was positively correlated with TC, TG and LDL, and negatively correlated with HDL (all P < 0.05). Among them, SII had the best predictive efficiency for dyslipidemia of polycyctic ovary syndrome at 489.375 (AUC: 0.718, 95%CI: 0.672-0.764), and SII was still associated with the increased occurrence of PCOS dyslipidemia after excluding confounding factors (P < 0.05). CONCLUSION: The high level of SII has a correlation with the occurrence of dyslipidemia in PCOS patients, and it has a value in the early diagnosis of PCOS.

Nur77 ameliorates cyclophosphamide-induced ovarian insufficiency in mice by inhibiting oxidative damage and cell senescence.

Premature ovarian failure (POF) is among the primary causes of ovarian dysfunction that severely affects women's physical and mental health. The main purpose of this study was to explore the expression level of Nerve growth factor-induced protein B (Nur77/NR4A1) in cyclophosphamide (CTX)-induced POF. We then tested whether Nur77 can exert a protective effect after CTX treatment and investigated the mechanism of Nur77's role during ovarian injury. CTX promotes follicular atresia by inducing redox imbalance, apoptosis, and senescence, thereby causing direct toxicity to gonads. Additionally, CTX decreases ovarian reserve consumption by stimulating the excessive activation of primordial follicles. Nur77 can be stimulated by oxidative stress, DNA damage, metabolism, inflammation, etc. However, its relationship with POF remains unelucidated. We here found that Nur77 is expressed at low levels in POF ovaries. Therefore, Nur77 was identified as a regulator of ovarian injury and follicular development. According to the results, Nur77 overexpression alleviated redox imbalances, reduced cell senescence and apoptosis, and improved follicular reserve. Nur77 protects ovarian function by restoring disordered sex hormone levels and estrus cycles and promoting follicle growth and development at all levels. Moreover, the rapamycin protein kinase (AKT)/mammalian target of the rapamycin (mTOR) is a crucial regulator of the primordial follicle pool and follicular development. A relationship was observed between Nur77 and AKT through string and molecular docking. Experiments confirmed the involvement of the AKT/mTOR signaling pathway in the regulatory role of Nur77 in ovarian function. Thus, Nur77 is a critical target for POF prevention and treatment.

Point-based risk score for the risk stratification and prediction of hepatocellular carcinoma: a population-based random survival forest modeling study.

Background: The precise associations between common clinical biomarkers and hepatocellular carcinoma (HCC) risk remain unclear but hold valuable insights for HCC risk stratification and prediction. Methods: We examined the linear and nonlinear associations between the baseline levels of 32 circulating biomarkers and HCC risk in the England cohort of UK Biobank (UKBB) (n = 397,702). The participants were enrolled between 2006 and 2010 and followed up to 31st October 2022. The primary outcome is incident HCC cases. We then employed random survival forests (RSF) to select the top ten most informative biomarkers, considering their association with HCC, and developed a point-based risk score to predict HCC. The performance of the risk score was evaluated in three validation sets including UKBB Scotland and Wales cohort (n = 52,721), UKBB non-White-British cohort (n = 29,315), and the Taizhou Longitudinal Study in China (n = 17,269). Findings: Twenty-five biomarkers were significantly associated with HCC risk, either linearly or nonlinearly. Based on the RSF model selected biomarkers, our point-based risk score showed a concordance index of 0.866 in the England cohort and varied between 0.814 and 0.849 in the three validation sets. HCC incidence rates ranged from 0.95 to 30.82 per 100,000 from the lowest to the highest quintiles of the risk score in the England cohort. Individuals in the highest risk quintile had a 32-73 times greater risk of HCC compared to those in the lowest quintile. Moreover, over 70% of HCC cases were detected in individuals within the top risk score quintile across all cohorts. Interpretation: Our simple risk score enables the identification of high-risk individuals of HCC in the general population. However, including some biomarkers, such as insulin-like growth factor 1, not routinely measured in clinical practice may increase the model's complexity, highlighting the need for more accessible biomarkers that can maintain or improve the predictive accuracy of the risk score. Funding: This work was supported by the National Natural Science Foundation of China (grant numbers: 82204125) and the Science and Technology Support Program of Taizhou (TS202224).

Characterization of Lomofungin Gene Cluster Enables the Biosynthesis of Related Phenazine Derivatives.

Phenazine-based small molecules are nitrogen-containing heterocyclic compounds with diverse bioactivities and electron transfer properties that exhibit promising applications in pharmaceutical and electrochemical industries. However, the biosynthetic mechanism of highly substituted natural phenazines remains poorly understood. In this study, we report the direct cloning and heterologous expression of the lomofungin biosynthetic gene cluster (BGC) from Streptomyces lomondensis S015. Reconstruction and overexpression of the BGCs in Streptomyces coelicolor M1152 resulted in eight phenazine derivatives including two novel hybrid phenazine metabolites, and the biosynthetic pathway of lomofungin was proposed. Furthermore, gene deletion suggested that NAD(P)H-dependent oxidoreductase gene lomo14 is a nonessential gene in the biosynthesis of lomofungin. Cytotoxicity evaluation of the isolated phenazines and lomofungin was performed. Specifically, lomofungin shows substantial inhibition against two human cancer cells, HCT116 and 5637. These results provide insights into the biosynthetic mechanism of lomofungin, which will be useful for the directed biosynthesis of natural phenazine derivatives.

Analysis of macrophage polarization and regulation characteristics in ovarian tissues of polycystic ovary syndrome.

Background: Polycystic ovary syndrome (PCOS) can lead to infertility and increase the risk of endometrial cancer. Analyzing the macrophage polarization characteristics in ovarian tissues of PCOS is crucial for clinical treatment. Methods: We obtained 13 PCOS and nine control ovarian samples from the CEO database and analyzed differentially expressed genes (DEGs). Macrophage polarization-related genes (MPRGs) were sourced from the GeneCards and MSigDB databases. Intersection of DEGs with MPRGs identified DEGs associated with macrophage polarization (MPRDEGs). Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-protein interaction (PPI) Network analysis were conducted on MPRDEGs. Moreover, the top 10 genes from three algorithms were identified as the hub genes of MPRGs. In addition, miRNAs, transcription factors (TFs), and drugs were retrieved from relevant databases for regulatory network analysis of mRNA-miRNA, mRNA-TF, and mRNA-Drug interactions. Immune cell composition analysis between the PCOS and control groups was performed using the CIBERSORT algorithm to calculate correlations across 22 immune cell types. Results: A total of 13 PCOS samples and nine control ovarian samples were obtained in this study. We identified 714 DEGs between the two groups, with 394 up-regulated and 320 down-regulated. Additionally, we identified 774 MPRGs, from which we derived 30 MPRDEGs by intersecting with DEGs, among which 21 exhibited interaction relationships. GO and KEGG analyses revealed the enrichment of MPRDEGs in five biological processes, five cell components, five molecular functions, and three biological pathways. Immune infiltration analysis indicated a strong positive correlation between activated nature killer (NK) cells and memory B cells, while neutrophils and monocytes showed the strongest negative correlation. Further investigation of MPRDEGs identified nine hub genes associated with 41 TFs, 82 miRNAs, and 44 drugs or molecular compounds. Additionally, qRT-PCR results demonstrated overexpression of the CD163, TREM1, and TREM2 genes in ovarian tissues from the PCOS group. Conclusion: This study elucidated the polarization status and regulatory characteristics of macrophages in ovarian tissues of the PCOS subjects, confirming significant overexpression of CD163, TREM1, and TREM2. These findings contribute to a deeper understanding of the pathogenesis of PCOS.

Diabetes risk reduction diet and risk of liver cancer and chronic liver disease mortality: A prospective cohort study.

BACKGROUND: We aimed to prospectively evaluate the association between a diabetes risk reduction diet (DRRD) score and the risk of liver cancer development and chronic liver disease-specific mortality. METHODS: We included 98,786 postmenopausal women from the Women's Health Initiative-Observational Study and the usual diet arm of the Diet Modification trial. The DRRD score was derived from eight factors: high intakes of dietary fiber, coffee, nuts, polyunsaturated fatty acids, low intakes of red and processed meat, foods with high glycemic index, sugar-sweetened beverages (SSBs), and trans fat based on a validated Food-Frequency Questionnaire administered at baseline (1993-1998). Multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) for liver cancer incidence and chronic liver disease mortality were estimated using Cox proportional hazards regression models. RESULTS AND CONCLUSION: After a median follow-up of 22.0 years, 216 incident liver cancer cases and 153 chronic liver disease deaths were confirmed. A higher DRRD score was significantly associated with a reduced risk of developing liver cancer (HRTertile 3 vs. Tertile 1 = 0.69; 95% CI: 0.49-0.97; Ptrend = 0.03) and chronic liver disease mortality (HRT3 vs. T1 = 0.54; 95% CI: 0.35-0.82; Ptrend = 0.003). We further found inverse associations with dietary fiber and coffee, and positive associations with dietary glycemic index, SSBs, and trans fat. A higher DRRD score was associated with reduced risk of developing liver cancer and chronic liver disease mortality among postmenopausal women.

Elucidating the molecular interactions and immune modulation of bisphenols exposure in the pathogenesis of polycystic ovary syndrome.

Bisphenols (BPs) are known endocrine disruptors potentially contributing to the pathogenesis of Polycystic Ovary Syndrome (PCOS). This study aims to elucidate the molecular interactions between BPs and PCOS-related genes and their combined effects on PCOS development. We identified common genes associated with BPs and PCOS using the CTD. Differential expression analysis was performed on three GEO datasets, leading to the identification of differentially expressed genes (DEGs). Protein-Protein Interaction (PPI) network construction, enrichment analysis, single-gene Gene Set Enrichment Analysis (GSEA), and immune cell infiltration analysis were carried out. A nomogram was developed for PCOS risk prediction, and molecular docking studies were performed using AutoDock Vina, with interaction visualizations via PyMOL. We identified 139 common genes between BPs exposure and PCOS, enrichment analysis highlighted pathways related to hormone metabolism, ovarian steroidogenesis, and p53 signaling. Four hub DEGs (PBK, CCNE2, LPCAT2, S100P) were identified, and a nomogram incorporating these genes demonstrated excellent predictive accuracy. GSEA revealed roles in cell adhesion, immune response, and metabolism. ssGSEA analysis showed significant differences in immune cell infiltration between PCOS and control groups, with notable correlations between hub DEGs and immune cells. Molecular docking indicated strong binding affinities between the hub DEGs and BPAF, suggesting potential disruptions induced by BPs. BPs exposure is associated with significant molecular and immunological changes in PCOS, impacting genes involved in hormone regulation, immune response, and metabolic pathways. The strong binding affinities between BPs and key PCOS-related genes reveal their potential role in exacerbating PCOS, providing insights for targeted therapeutic strategies.

Pioneer plants promote soil formation in a mixture of bauxite tailings and red mud.

The disposal of bauxite tailings and red mud is a concern for the sustainable development of the Al industry. Our previous study demonstrated that the disposal of bauxite tailings and red mud as a soil-like matrix (BRM) has great application potential for revegetation after bauxite mining with suitable pioneer species promoting soil formation in the BRM. The present study evaluated the improvement effects of six pioneer plants (Celosia argentea, Bassia scoparia, Suaeda glauca, Melilotus suaveolens, Sorghum sudanense, and Sesbania cannabina) on the physicochemical properties and microbial communities of BRM. The results indicated that the pioneer plants significantly decreased salinity and alkalinity and increased micropore volume, available phosphorus, and organic matter in the BRM (p < 0.05). Furthermore, microbial diversity and network stability in BRM significantly increased after planting pioneer plants. The partial least-squares path model analysis showed that pore structure improvement was most important in the plant promotion of soil formation in BRM. Although all six plants grew well on BRM, C. argentea had the highest shoot biomass and root volume. Compared with other plants, C. argentea increased the micropore volume of BRM. In addition, M. suaveolens showed a greater ability to regulate BRM salinity and alkalinity, resulting in a more significant decrease in the abundance of halophilic bacteria. A comprehensive evaluation based on gray relation analysis indicated that C. argentea and M. suaveolens are suitable pioneer plants for revegetation in BRM disposal areas.

Ultra-processed products and risk of liver cancer: A prospective cohort study.

BACKGROUND & AIMS: Several studies have shown positive associations between ultra-processed foods and drinks and cancer risk. However, evidence remains limited for liver cancer. We aimed to evaluate the associations between ultra-processed foods and drinks and liver cancer risk. METHODS: We included 73,119 participants (22,431 Whites, 47,837 Blacks, 2851 other race) from the Southern Community Cohort Study. Ultra-processed products were defined based on the Nova classification using data from a validated food frequency questionnaire and calculated as percentage of daily foods by weight. Incident liver cancer and vital status were ascertained via linkages to state cancer registries and the National Death Index as of December 31, 2019. RESULTS: With a median of 13.9 year's follow-up, we documented 453 incident liver cancer cases. Participants with higher intake of ultra-processed foods had an elevated risk of liver cancer (hazard ratios [HR] Tertile 3 vs. tertile 1 1.69, 95% confidence intervals [CI]: 1.28-2.22; Ptrend<0.001). The subclasses of ultra-processed foods, such as ultra-processed grains and fried potatoes (HR T3 vs. T1 1.29, 95% CI: 1.01-1.65; Ptrend = 0.03), processed protein foods (HR T3 vs. T1 1.49, 95% CI: 1.14-1.94; Ptrend = 0.007) and mixed dishes (HR T3 vs. T1 1.39, 95% CI: 1.09-1.77; Ptrend = 0.01), were positively associated with liver cancer risk. No significant association was found for ultra-processed drinks (HR T3 vs. T1 0.85, 95% CI: 0.67-1.07; Ptrend = 0.16). DISCUSSION: In a prospective cohort with predominantly low-income Southern US adults, we found certain ultra-processed foods were associated with a higher risk of liver cancer. Further studies are needed to confirm our findings.

Discovery and characterization of the PpqI/R quorum sensing system activated by GacS/A and Hfq in Pseudomonas protegens H78.

Pseudomonas protegens can generally produce multiple antibiotics including pyoluteorin (Plt), 2,4-diacetylphloroglucinol (DAPG), and pyrrolnitrin (Prn). In this study, we discovered and characterized a quorum sensing (QS) system, PpqI/R, in P. protegens H78. PpqI/R, encoded by two open reading frames (ORFs) (H78_01960/01961) in P. protegens H78 genome, is a LuxI/R-type QS system. Four long-chain acyl homoserine lactone (AHL) signaling molecules, 3-OH-C10-HSL, 3-OH-C12-HSL, C12-HSL, and 3-OH-C14-HSL, are produced by H78. Biosynthesis of these AHLs is catalyzed by PpqI synthase and activated by the PpqR regulator in H78 and in Escherichia coli when heterologously expressed. PpqR activates ppqI expression by targeting the lux box upstream of the ppqI promoter in cooperation with corresponding AHLs. The four aforementioned AHLs exhibited different capabilities to induce ppqI promoter expression, with 3-OH-C12-HSL showing the highest induction activity. In H78 cells, ppqI/R expression is activated by the two-component system GacS/A and the RNA chaperone Hfq. Differential regulation of the PpqI/R system in secondary metabolism has a negative effect on DAPG biosynthesis and ped operon (involved in volatile organic compound biosynthesis) expression. In contrast, Plt biosynthesis and prn operon expression were positively regulated by PpqI/R. In summary, PpqI/R, the first characterized QS system in P. protegens, is activated by GacS/A and Hfq and controls the expression of secondary metabolites, including antibiotics.

Constructed wetlands and hyperaccumulators for the removal of heavy metal and metalloids: A review.

Water pollutions of heavy metal and metalloids (HMMs), typically including As, Cd, Cu, Cr, Mn, Ni, Pb, and Zn, are becoming a severe environmental problem to be controlled. Constructed wetlands (CWs) have been intensively investigated and applied for the removal of HMMs. By analyzing a mass of data from the existing literatures, this review found that the HMM removals in CWs varied from 12.35 % to 91.01 %, depending upon the HMM species and CW conditions. Nonetheless, 88.50 % of the influent HMMs were eventually immobilized in the CW sediments, while the common wetland plants are inefficient (i.e., accounting for 4.64 %) to uptake and accumulate the HMMs. It was also found that the concentrations of certain HMMs in the CW sediments have already exceeded up to 100 % of various environmental standards, indicating the urgency of introducing HMM hyperaccumulators in the systems. Through comparison, both the aboveground and belowground HMM accumulating capacities of reported hyperaccumulators were higher by magnitudes than common wetland plants. Following this, the efficacies and mechanisms of candidate hyperaccumulators were provided for the various scenarios of HMM control in CWs. Further, the selection principals, culture methods, and harvest strategies of hyperaccumulator in CWs were discussed. Finally, several perspectives were suggested for the future research. Overall, this review provided guiding information for the utilization of hyperaccumulators in CWs, which can improve the efficiency and sustainability of HMM removal in the CW systems.

Multisystem health comorbidity networks of metabolic dysfunction-associated steatotic liver disease.

BACKGROUND: The global burden of metabolic dysfunction-associated steatotic liver disease (MASLD) is growing, but its subsequent health consequences have not been thoroughly examined. METHODS: A phenome-wide association study was conducted to map the associations of MASLD with 948 unique clinical outcomes among 361,021 Europeans in the UK Biobank. Disease trajectory and comorbidity analyses were applied to visualize the sequential patterns of multiple comorbidities related to the occurrence of MASLD. The associations jointly verified by observational and polygenic phenome-wide analyses were further replicated by two-sample Mendelian randomization analysis using data from the FinnGen study and international consortia. FINDINGS: The observational and polygenic phenome-wide association study revealed the associations of MASLD with 96 intrahepatic and extrahepatic diseases, including circulatory, metabolic, genitourinary, neurological, gastrointestinal, and hematologic diseases. Sequential patterns of MASLD-related extrahepatic comorbidities were primarily found in circulatory, metabolic, and inflammatory diseases. Mendelian randomization analyses supported the causal associations between MASLD and the risk of several intrahepatic disorders, metabolic diseases, cardio-cerebrovascular disease, and ascites but found no associations with neurological diseases. CONCLUSIONS: This study elucidated multisystem comorbidities and health consequences of MASLD, contributing to the development of combination interventions targeting distinct pathways for health promotion among patients with MASLD. FUNDING: X.L. was funded by the Natural Science Fund for Distinguished Young Scholars of Zhejiang Province (LR22H260001) and the National Nature Science Foundation of China (82204019) and Y.D. was funded by the Key Project of Traditional Chinese Medicine Science and Technology Plan of Zhejiang Province (GZY-ZJ-KJ-24077) and the National Natural Science Foundation of China (82001673 and 82272860).

Robust Detection of Cracked Eggs Using a Multi-Domain Training Method for Practical Egg Production.

The presence of cracks reduces egg quality and safety, and can easily cause food safety hazards to consumers. Machine vision-based methods for cracked egg detection have achieved significant success on in-domain egg data. However, the performance of deep learning models usually decreases under practical industrial scenarios, such as the different egg varieties, origins, and environmental changes. Existing researches that rely on improving network structures or increasing training data volumes cannot effectively solve the problem of model performance decline on unknown egg testing data in practical egg production. To address these challenges, a novel and robust detection method is proposed to extract max domain-invariant features to enhance the model performance on unknown test egg data. Firstly, multi-domain egg data are built on different egg origins and acquisition devices. Then, a multi-domain trained strategy is established by using Maximum Mean Discrepancy with Normalized Squared Feature Estimation (NSFE-MMD) to obtain the optimal matching egg training domain. With the NSFE-MMD method, the original deep learning model can be applied without network structure improvements, which reduces the extremely complex tuning process and hyperparameter adjustments. Finally, robust cracked egg detection experiments are carried out on several unknown testing egg domains. The YOLOV5 (You Only Look Once v5) model trained by the proposed multi-domain training method with NSFE-MMD has a detection mAP of 86.6% on the unknown test Domain 4, and the YOLOV8 (You Only Look Once v8) model has a detection mAP of 88.8% on Domain 4, which is an increase of 8% and 4.4% compared to the best performance of models trained on a single domain, and an increase of 4.7% and 3.7% compared to models trained on all domains. In addition, the YOLOV5 model trained by the proposed multi-domain training method has a detection mAP of 87.9% on egg data of the unknown testing Domain 5. The experimental results demonstrate the robustness and effectiveness of the proposed multi-domain training method, which can be more suitable for the large quantity and variety of egg detection production.

Potential mechanism prediction of indole-3-propionic acid against diminished ovarian reserve via network pharmacology, molecular docking and experimental verification.

BACKGROUND: Oxidative stress (OS) is one of the major causes of ovarian aging and dysfunction. Indole-3-propionic acid (IPA) is an indole compound derived from tryptophan with free radical scavenging and antioxidant properties, and thus may have potential applications in protecting ovarian function, although the exact mechanisms are unknown. This study aims to preliminarily elucidate the potential mechanisms of IPA that benefit ovarian reserve function through network pharmacology, molecular docking, and experimental verification. METHODS: The related protein targets of IPA were searched on SwissTargetPrediction, TargetNet, BATMAN-TCM, and PharmMapper databases. The potential targets of diminished ovarian reserve (DOR) were identified from OMIM, GeneCards, DrugBank, and DisGeNET databases. The common targets were uploaded directly to the STRING database to construct PPI networks. We then performed GO and KEGG enrichment analysis on the targets. Subsequently, molecular docking and molecular dynamics simulation were used to validate the binding conformation of IPA to candidate targets. Furthermore, we carried out in vitro experiments to validate the prediction results of network pharmacology. RESULTS: We identified a total of 61 potential targets for the interaction of IPA with DOR. The PPI network topological parameter analysis yielded 13 hub genes for DOR treatment. The GO biological process enrichment analysis identified 293 entries, mainly enriched in aging, signal transduction, response to hypoxia, negative regulation of apoptotic process, and positive regulation of cell proliferation. The KEGG enrichment analysis mainly included lipid and atherosclerosis, progesterone-mediated oocyte maturation, AGE-RAGE, relaxin, estrogen, and other signaling pathways. The molecular docking further revealed the direct binding of IPA with six hub proteins including NOS3, AKT1, EGFR, PPARA, SRC, and TNF. In vitro experiments showed that IPA pretreatment attenuated H2O2-induced cellular oxidative stress damage, while IPA exerted cytoprotective and antioxidant damage effects by regulating the six hub genes and antioxidant proteins. CONCLUSION: We systematically illustrated the potential protective effects of IPA against DOR through multiple targets and pathways using network pharmacology, and further verified the cytoprotective effect and antioxidant properties of IPA through in vitro experiments. These findings provide new insights into the targets and molecular mechanisms whereby IPA improves DOR.

Blood Magnesium Level and Risk of Hepatocellular Carcinoma in a Prospective Liver Cirrhosis Cohort.

BACKGROUND: Higher magnesium intake was linked to a lower risk of hepatocellular carcinoma (HCC). However, the relationship between blood magnesium level and HCC has not been fully characterized, especially among patients with liver cirrhosis who are at a higher risk for HCC. METHODS: In the Mass General Brigham Biobank, we developed a new prospective cohort of 1,430 patients with liver cirrhosis without liver cancer history using the validated International Classification of Diseases codes. We used Cox proportional hazards models to generate hazard ratios (HRs) with 95% confidence intervals (CI) for incident HCC and used generalized estimating equations to compare changes in liver biomarkers according to baseline blood magnesium, adjusting for age, sex, race, lifestyles, body mass index, type 2 diabetes, model for end-stage liver disease score, and hepatitis infection. RESULTS: During a median follow-up period of 4.26 years, 109 patients developed HCC. Magnesium deficiency (<1.70 mg/dL; N = 158) was associated with a higher risk of HCC (HR = 1.93; 95% CI, 1.12-3.30) compared with magnesium sufficiency (≥1.70 mg/dL; N = 1282). This association remained robust in the 1-year lag analysis (HR = 2.18; 95% CI, 1.11-4.28) and in sensitivity analysis excluding patients with alcoholic liver disease (HR = 2.41; 95% CI, 1.23-4.74). Magnesium in the lowest quartile was associated with a faster increase in alanine transaminase (ß = 4.35; 95% CI, 1.06-7.63), aspartate aminotransferase (ß = 6.46; 95% CI, 0.28-12.6), direct bilirubin (ß = 0.18; 95% CI, 0.01-0.35), and total bilirubin (ß = 0.21; 95% CI, 0.03-0.39), compared with the highest quartile. CONCLUSIONS: Lower blood magnesium level is associated with higher HCC risk and unfavorable liver biomarker changes. IMPACT: If confirmed, our findings may potentially enable better identification of high-risk patients for HCC and inform better management strategies for liver cirrhosis.

Nur77 improves ovarian function in reproductive aging mice by activating mitophagy and inhibiting apoptosis.

Reproductive aging not only affects the fertility and physical and mental health of women but also accelerates the aging process of other organs. There is an urgent need newfor novel mechanisms, targets, and drugs to break the vicious cycle of mitochondrial dysfunction, redox imbalance, and germ cell apoptosis associated with ovarian aging. Autophagy, recognized as a longevity mechanism, has recently become a focal point in anti-aging research. Although mitophagy is a type of autophagy, its role and regulatory mechanisms in ovarian aging, particularly in age-related ovarian function decline, remain unclear. Nerve growth factor inducible gene B (Nur77) is an early response gene that can be stimulated by oxidative stress, DNA damage, metabolism, and inflammation. Recent evidence recommends that decreased expression of Nur77 is associated with age-related myocardial fibrosis, renal dysfunction, and Parkinson's disease; however, its association with ovarian aging has not been studied yet. We herein identified Nur77 as a regulator of germ cell senescence, apoptosis, and mitophagy and found that overexpression of Nur77 can activate mitophagy, improve oxidative stress, reduce apoptosis, and ultimately enhance ovarian reserve in aged mice ovaries. Furthermore, we discovered an association between Nur77 and the AKT pathway through String and molecular docking analyses. Experimental confirmation revealed that the AKT/mTOR signaling pathway is involved in the regulation of Nur77 in ovarian function. In conclusion, our results suggest Nur77 as a promising target for preventing and treating ovarian function decline related to reproductive aging.