Associations of biological age accelerations and genetic risk with incident endometrial cancer: a prospective analysis in UK Biobank.

BACKGROUND: Endometrial cancer (EC) is one of the gynecologic malignancy cancer with increasing incidence and mortality rates, partly due to aging populations and genetic risks. This study explores the associations between biological age accelerations (BAA) and risk of incident EC and assesses the joint effect of genetic factor and BAA. MATERIALS AND METHODS: Based on the UK Biobank cohort, 132,315 women participants were included for primary analysis and 124,119 white participants for genetic risk analysis. Biological age(BA) was calculated using the Klemera-Doubal (KDM) and PhenoAge method based on clinical biomarkers. We calculated two metrics for BAA (including KDM residual and PhenoAge residual) using residual analysis, comparing them against chronological age. The risk of incident EC was evaluated using multivariable Cox proportional-hazards models, adjusting for relevant covariates. Polygenic risk scores (PRS) were computed from known EC-associated SNPs. RESULTS: Both KDM and PhenoAge residual, were significantly associated with increased EC risk. In fully adjusted models, the highest tertile of KDM and PhenoAge residual was significantly associated with incident EC compared with the lowest group, with HRs of 1.278 (P=0.0044) and 1.424 (P<0.0001), repectively. The population-attributable fractions were 7.84% for KDM residual (P=0.0044), 9.78% for PhenoAge residual (P=0.0005), and 8.47% for genetic risk (P=0.0005). Additionally, joint associations of BAA and genetic risk with incident EC was evaluated. Compared with low genetic risk and low BAA, high genetic risk and high BAA was significantly associated with the incidence of EC with HRs of up to 2.172 (95% CI 1.592-2.963) for KDM and 2.226 (95% CI 1.640-3.022) for PhenoAge. Overall, higher levels of PhenoAge residual were consistently associated with an increased risk of incident EC, regardless of genetic risk. CONCLUSION: BAA and genetics both enhance the risk of incident EC. The effect of the PhenoAge residual is greater than that of the investigated genes, which in turn is greater than that of the KDM residual. These findings highlight the importance of considering both BAA and genetic factors in EC prevention.

Two C-terminal isoforms of Aplysia tachykinin-related peptide receptors exhibit phosphorylation-dependent and independent desensitization mechanisms.

Diversity, a hallmark of G protein-coupled receptor (GPCR) signaling, partly stems from alternative splicing of a single gene generating more than one isoform for a receptor. Additionally, receptor responses to ligands can be attenuated by desensitization upon prolonged or repeated ligand exposure. Both phenomena have been demonstrated and exemplified by the deuterostome tachykinin (TK) signaling system, although the role of phosphorylation in desensitization remains a subject of debate. Here, we describe the signaling system for tachykinin-related peptides (TKRPs) in a protostome, mollusk Aplysia. We cloned the Aplysia TKRP precursor, which encodes three TKRPs (apTKRP-1, apTKRP-2a, and apTKRP-2b) containing the FXGXR-amide motif. In situ hybridization and immunohistochemistry showed predominant expression of TKRP mRNA and peptide in the cerebral ganglia. TKRPs and their post-translational modifications were observed in extracts of CNS ganglia using mass spectrometry. We identified two Aplysia TKRP receptors (TKRPRs), named apTKRPR-A and apTKRPR-B. These receptors are two isoforms generated through alternative splicing of the same gene and differ only in their intracellular C-termini. Structure-activity relationship analysis of apTKRP-2b revealed that both C-terminal amidation and conserved residues of the ligand are critical for receptor activation. C-terminal truncates and mutants of apTKRPRs suggested that there is a C-terminal phosphorylation-independent desensitization for both receptors. Moreover, apTKRPR-B also exhibits phosphorylation-dependent desensitization through the phosphorylation of C-terminal Ser/Thr residues. This comprehensive characterization of the Aplysia TKRP signaling system underscores the evolutionary conservation of the TKRP and TK signaling systems, while highlighting the intricacies of receptor regulation through alternative splicing and differential desensitization mechanisms.

Steering the Orbital Hybridization to Boost the Redox Kinetics for Efficient Li-CO2 Batteries.

The sluggish CO2 reduction and evolution reaction kinetics are thorny problems for developing high-performance Li-CO2 batteries. For the complicated multiphase reactions and multielectron transfer processes in Li-CO2 batteries, exploring efficient cathode catalysts and understanding the interplay between structure and activity are crucial to couple with these pendent challenges. In this work, we applied the CoS as a model catalyst and adjusted its electronic structure by introducing sulfur vacancies to optimize the d-band and p-band centers, which steer the orbital hybridization and boost the redox kinetics between Li and CO2, thus improving the discharge platform of Li-CO2 batteries and altering the deposition behavior of discharge products. As a result, a highly efficient bidirectional catalyst exhibits an ultrasmall overpotential of 0.62 V and a high energy efficiency of 82.8% and circulates stably for nearly 600 h. Meanwhile, density functional theory calculations and multiphysics simulations further elucidate the mechanism of bidirectional activity. This work not only provides a proof of concept to design a remarkably efficient catalyst but also sheds light on promoting the reversible Li-CO2 reaction by tailoring the electronic structure.

A novel nomogram to predict testicular torsion in children with acute scrotal pain: a single-center retrospective study in western China.

Background: Acute scrotal pain (ASP) is the most common urological emergency in pediatrics, and its causes include testicular torsion (TT), testicular appendage torsion, and epididymo-orchitis. Among them, TT requires prompt and accurate diagnosis and urgent surgical exploration to prevent testicular loss. Conservative anti-infective treatment is recommended for epididymo-orchitis, and surgery is considered only when scrotal abscess formation and sepsis occur. Improving the understanding of TT in primary care doctors, early diagnosis, and timely surgical exploration are essential to improve the survival rate of TT and avoid excessive treatment. This study aimed to explore the risk factors for TT in children with ASP and construct a predictive model. Methods: Clinical data of children who presented with ASP and underwent emergency scrotal exploration surgery were retrospectively analyzed, including general information, physical examination, laboratory tests, and color Doppler ultrasonography (CDU) findings. Based on surgical exploration, the outcomes were categorized as confirmed TT or not. Results: A total of 283 children were included in this study, among whom 134 had TT. The mean age of all patients was 105±47.9 months, with the majority being of Han ethnicity (87.6%) and residing in urban areas (83%). Most patients had normal C-reactive protein levels and negative results in urine routine white blood cell tests (63.3%). After conducting univariate and multivariate logistic regression analyses, we identified laterality, neutrophil count, mean erythrocyte sedimentation rate, epididymal blood flow signal, testicular parenchymal echogenicity, and testicular blood flow signal as independent risk factors influencing the occurrence of TT in ASP patients. Conclusions: This study is the report with the largest sample size on the construction of prediction models for ASP in children in southwestern China. The predictive model we developed demonstrated excellent performance and higher accuracy in predicting TT in children compared to the traditional Testicular Workup for Ischemia and Suspected Torsion (TWIST) score. It can assist pediatric surgeons in diagnosing and treating children with ASP.

Facial Rejuvenation: A Global Trend of Dermatological Procedures in the Last Decade.

Background: We aimed to track the global trend of cosmetic treatment outcomes for facial rejuvenation and the differences in modalities used in East Asian and Western populations. Methods: Articles reporting on facial rejuvenation procedures (invasive/noninvasive) were identified in PubMed from 2013 to March 2023 and bibliometrically analyzed for type of published document, citation frequency, authors with most articles, author's affiliation, and frequency distribution of keywords. Results: From 553 articles, most were published in 2021 (n = 86, 15.6%). Western countries (n = 323, 58.4%) contributed more than East Asian (n = 230, 41.6%), with more invasive interventions (n = 355, 64.2%) than noninvasive techniques (n = 198, 35.8%). Numbers of invasive techniques in West versus East Asian countries were 225 (40.7%) versus 135 (24.4%). Main indications were the reduction of facial wrinkles and antiageing treatments. Hyaluronic acid, fillers, and botulinum toxin were the main hotspots for invasive treatments, whereas laser, platelet-rich plasma, and radiofrequency were for noninvasive treatments. Nasolabial folds (13.4%) and glabellar lines (12.4%) were the top research hotspots in the East Asian and Western regions. Common adverse events were pain, erythema, swelling, and bruising. Approximately, 89.3% of publications were from single countries, whereas 10.7% of publications were from international collaborations. Most articles (n = 387; 69.95%) presented their findings using level II evidence. Dermatological surgery (IF = 2.914) had the greatest number of publications (n = 109; 19.71%). Conclusions: The main hotspots were antiaging and youthfulness. This study provides a trend and a new perspective on the future research directions in the field of facial rejuvenation.

Integrated bioinformatics analysis and experimental validation identifies CPE as a potential biomarker and therapeutic target for skin aging.

Ageing is an inevitable biological process characterized by progressive decline in physiological functions. It is a complex natural phenomenon that will cause structural and functional decline. Despite substantial progress in understanding the mechanism of ageing, both predictive biomarkers and preventive therapies remain limited. Using Weighted Gene Co-expression Network Analysis (WGCNA) and machine learning techniques, we identified Carboxypeptidase E (CPE) as a pivotal marker of skin ageing, based on ageing-related bulk transcriptome and single-cell transcriptome data. Next, our investigation reveals downregulation of CPE in replicative, UVA-induced, and H2O2-induced senescent human dermal fibroblast cells (HDFs). Furthermore, shRNA-mediated CPE knockdown induced HDFs senescence, and overexpression of CPE delayed HDFs senescence. Moreover, downregulated CPE inhibits collagen synthesis and induces inflammation, highlighting its potential as a therapeutic target for skin ageing. In conclusion, our study demonstrated that CPE functions as a predictor and optional target for therapeutic intervention of skin ageing.

Association of Biological Age Acceleration with Cardiac Morphology, Function, and Incident Heart Failure: Insights from UK Biobank Participants.

BACKGROUND: Advanced age is associated with an increased risk of adverse cardiovascular events. The relationship between biological age acceleration (BAA), cardiac size, cardiac function, and heart failure (HF) is not well-defined. METHODS: Utilizing the UK Biobank cohort, we assessed biological age using the Klemera-Doubal and PhenoAge method. BAA was quantified by residual analysis compared to chronological age. Cardiovascular magnetic resonance (CMR) imaging provided detailed insights into cardiac structure and function. We employed multivariate regression to examine links between BAA and CMR-derived cardiac phenotypes. Cox proportional hazard regression models analyses was applied to explore the causative relationship between BAA and HF. Additionally, Mendelian randomization was used to investigate the genetic underpinnings of these associations. RESULTS: A significant correlation was found between increased BAA and deleterious changes in cardiac structure, such as diminished left ventricular mass, lower overall ventricular volume, and reduced stroke volumes across ventricles and atria. Throughout a median follow-up of 13.8 years, participants with greater biological aging showed a heightened risk of HF (26% per standard deviation [SD] increase in KDM-BA acceleration, 95% confidence intervals [CI]: 23%-28%; 33% per SD increase in PhenoAge acceleration, 95% CI: 32%-35%). Mendelian randomization analysis suggests a likely causal link between BAA, vital cardiac metrics, and HF risk. CONCLUSIONS: In this cohort, accelerated biological aging may serve as a risk indicator for altered cardiac dimensions, functionality, and the onset of heart failure among middle-aged and elderly adults. It holds promise as a focal point for evaluating risk and developing targeted interventions.

An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition.

The behavior of pigs is intricately tied to their health status, highlighting the critical importance of accurately recognizing pig behavior, particularly abnormal behavior, for effective health monitoring and management. This study addresses the challenge of accommodating frequent non-rigid deformations in pig behavior using deformable convolutional networks (DCN) to extract more comprehensive features by incorporating offsets during training. To overcome the inherent limitations of traditional DCN offset weight calculations, the study introduces the multi-path coordinate attention (MPCA) mechanism to enhance the optimization of the DCN offset weight calculation within the designed DCN-MPCA module, further integrated into the cross-scale cross-feature (C2f) module of the backbone network. This optimized C2f-DM module significantly enhances feature extraction capabilities. Additionally, a gather-and-distribute (GD) mechanism is employed in the neck to improve non-adjacent layer feature fusion in the YOLOv8 network. Consequently, the novel DM-GD-YOLO model proposed in this study is evaluated on a self-built dataset comprising 11,999 images obtained from an online monitoring platform focusing on pigs aged between 70 and 150 days. The results show that DM-GD-YOLO can simultaneously recognize four common behaviors and three abnormal behaviors, achieving a precision of 88.2%, recall of 92.2%, and mean average precision (mAP) of 95.3% with 6.0MB Parameters and 10.0G FLOPs. Overall, the model outperforms popular models such as Faster R-CNN, EfficientDet, YOLOv7, and YOLOv8 in monitoring pens with about 30 pigs, providing technical support for the intelligent management and welfare-focused breeding of pigs while advancing the transformation and modernization of the pig industry.

Exposure to polycyclic aromatic hydrocarbons promotes the progression of low-grade cervical intraepithelial neoplasia: A population-based cohort study in China.

Low-grade cervical intraepithelial neoplasia (CIN1) is an early stage of cervical cancer development. Previously, we reported that exposure to polycyclic aromatic hydrocarbons (PAHs) increases the risk of cervical precancerous lesions, especially in females with a high-risk human papillomavirus (HR-HPV) infection. However, the effects of PAHs on CIN1 progression remain unclear. A community-based prospective cohort study was conducted to evaluate the role of exposure to PAHs in the progression of CIN1. A total of 564 patients diagnosed with CIN1 were followed-up at 6, 12, and 24 months, post-diagnosis, to determine CIN1 reversion, persistence, and progression. Exposure to PAHs was determined by the urine 1-hydroxipayrene (1-OHP) level. Our results showed that the 1-OHP level was significantly higher in patients with CIN1 persistence/progression than in those with reversion (P < .05). High exposure to PAHs increased the risk of CIN1 persistence/progression, with hazard ratios (HR), 95% confidence intervals (CI) of (1.62, 1.24-2.67), (1.98, 1.42-2.75), and (2.37, 1.61-3.49) at 6, 12, and 24 months, post-diagnosis, respectively. The effect was enhanced with HR-HPV positivity, as determined at 6 (1.82, 1.24-2.67), 12 (3.02, 1.74-5.23), and 24 (2.51, 1.48-4.26) months, post-diagnosis. Moreover, the predictive value of exposure to PAHs for CIN1 persistence/progression was higher in HR-HPV-positive patients than in HR-HPV-negative patients. The results revealed that exposure to PAHs facilitated the malignant progression of CIN1 and hindered its reversal, particularly in patients with HR-HPV infection. Our findings provide novel insights into early prevention and intervention targeting the initiation and progression of cervical neoplasia.

Association of autoimmune thyroid disease with type 1 diabetes mellitus and its ultrasonic diagnosis and management.

As a common hyperglycemic disease, type 1 diabetes mellitus (T1DM) is a complicated disorder that requires a lifelong insulin supply due to the immune-mediated destruction of pancreatic ß cells. Although it is an organ-specific autoimmune disorder, T1DM is often associated with multiple other autoimmune disorders. The most prevalent concomitant autoimmune disorder occurring in T1DM is autoimmune thyroid disease (AITD), which mainly exhibits two extremes of phenotypes: hyperthyroidism [Graves' disease (GD)] and hypo-thyroidism [Hashimoto's thyroiditis, (HT)]. However, the presence of comorbid AITD may negatively affect metabolic management in T1DM patients and thereby may increase the risk for potential diabetes-related complications. Thus, routine screening of thyroid function has been recommended when T1DM is diagnosed. Here, first, we summarize current knowledge regarding the etiology and pathogenesis mechanisms of both diseases. Subsequently, an updated review of the association between T1DM and AITD is offered. Finally, we provide a relatively detailed review focusing on the application of thyroid ultrasonography in diagnosing and managing HT and GD, suggesting its critical role in the timely and accurate diagnosis of AITD in T1DM.

Predictive significance of glycolysis-associated lncRNA profiles in colorectal cancer progression.

BACKGROUND: The Warburg effect is a hallmark characteristic of colorectal cancer (CRC). Despite extensive research, the role of long non-coding RNAs (lncRNAs) in influencing the Warburg effect remains incompletely understood. Our study aims to identify lncRNAs that may modulate the Warburg effect by functioning as competing endogenous RNAs (ceRNAs). METHODS: Utilizing bioinformatics approaches, we extracted glycolysis-associated gene data from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and identified 101 glycolysis-related lncRNAs in CRC. We employed Univariable Cox regression, Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis, and Multivariable Cox regression to develop a prognostic model comprising four glycolysis-linked lncRNAs. We then constructed a prognostic nomogram integrating this lncRNA model with other relevant clinical parameters. RESULTS: The prognostic efficacy of our four-lncRNA signature and its associated nomogram was validated in both training and validation cohorts. Functional assays demonstrated significant glycolysis and hexokinase II (HK2) inhibition following the silencing of RUNDC3A - AS1, a key lncRNA in our prognostic signature, highlighting its regulatory importance in the Warburg effect. CONCLUSIONS: Our research illuminates the critical role of glycolysis-centric lncRNAs in CRC. The developed prognostic model and nomogram underscore the pivotal prognostic and regulatory significance of the lncRNA RUNDC3A - AS1 in the Warburg effect in colorectal cancer.

Association of air pollution with incidence of elderly-onset seborrheic dermatitis: A prospective cohort study in UK Biobank.

BACKGROUND: Elderly-onset seborrheic dermatitis (SD) seriously affects the quality of life. However, associations between air pollution exposures and elderly-onset SD incidence have not been elucidated. OBJECTIVES: Investigate air pollution's role in the incidence of elderly-onset SD. METHODS: We engaged a prospective cohort analysis utilizing the UK Biobank database. Exposure data for specific air pollutants (PM2.5, PM2.5-10, NOX, NO2, and PM10) spanning various years was incorporated. Through a composite air pollution score constructed from five pollutants and employing Cox proportional hazards models, the relationship between pollution and SD was delineated. RESULTS: Our examination of 193,995 participants identified 3,363 SD cases. Higher concentrations of specific pollutants, particularly in the upper quartile (Q4), were significantly linked to an elevated SD risk. Notably, PM2.5, PM10, NO2, and NOX exhibited hazard ratios of 1.11, 1.15, 1.22, and 1.15, respectively. The correlation was further solidified with a positive association between air pollution score increments and SD onset. Intriguingly, this association was accentuated in certain demographics, including younger males, the socioeconomically deprived, smokers, daily alcohol consumers, and those engaging in regular physical activity. CONCLUSIONS: Our findings revealed that air pollution exposures were associated with elderly-onset SD incidence. These results emphasize the importance of preventing environmental exposures to the risk of SD development.

Identification of prospective aging drug targets via Mendelian randomization analysis.

Aging represents a multifaceted process culminating in the deterioration of biological functions. Despite the introduction of numerous anti-aging strategies, their therapeutic outcomes have often been less than optimal. Consequently, discovering new targets to mitigate aging effects is of critical importance. We applied Mendelian randomization (MR) to identify potential pharmacological targets against aging, drawing upon summary statistics from both the Decode and FinnGen cohorts, with further validation in an additional cohort. To address potential reverse causality, bidirectional MR analysis with Steiger filtering was utilized. Additionally, Bayesian co-localization and phenotype scanning were implemented to investigate previous associations between genetic variants and traits. Summary-data-based Mendelian randomization (SMR) analysis was conducted to assess the impact of genetic variants on aging via their effects on protein expression. Additionally, mediation analysis was orchestrated to uncover potential intermediaries in these associations. Finally, we probed the systemic implications of drug-target protein expression across diverse indications by MR-PheWas analysis. Utilizing a Bonferroni-corrected threshold, our MR examination identified 10 protein-aging associations. Within this cohort of proteins, MST1, LCT, GMPR2, PSMB4, ECM1, EFEMP1, and ISLR2 appear to exacerbate aging risks, while MAX, B3GNT8, and USP8 may exert protective influences. None of these proteins displayed reverse causality except EFEMP1. Bayesian co-localization inferred shared variants between aging and proteins such as B3GNT8 (rs11670143), ECM1 (rs61819393), and others listed. Mediator analysis pinpointed 1,5-anhydroglucitol as a partial intermediary in the influence LCT exhibits on telomere length. Circulating proteins play a pivotal role in influencing the aging process, making them promising candidates for therapeutic intervention. The implications of these proteins in aging warrant further investigation in future clinical research.

WTAP Mediated N6-methyladenosine RNA Modification of ELF3 Drives Cellular Senescence by Upregulating IRF8.

N6-methyladenosine (m6A), the most prevalent posttranscriptional RNA modification, involved in various diseases and cellular processes. However, the underlying mechanisms of m6A regulation in skin aging are still not fully understood. In this study, proteomics analysis revealed a significant correlation between Wilms' tumor 1-associating protein (WTAP) expression and cellular senescence. Next, upregulated WTAP was detected in aging skin tissues and senescent human dermal fibroblasts (HDFs). Functionally, overexpressed WTAP induced senescence and knockdown of WTAP rescued senescence of HDFs. Mechanistically, WTAP directly targeted ELF3 and promoted its expression in an m6A-dependent manner. Exogenous-ELF3 overexpression evidently reversed shWTAP-suppressed fibroblast senescence. Furthermore, ELF3 induced IRF8-mediated senescence-associated secretory phenotype (SASP) by binding to the (-817 to -804) site of the IRF8 promoter directly. In vivo, overexpression of WTAP evidently increased senescence cells in skin and induced skin aging. In summary, these findings revealed the critical role of WTAP-mediated m6A modification in skin aging and identified ELF3 as an important target of m6A modification in HDFs senescence, providing a new idea for delaying the aging process.

Mendelian Randomization Highlights Gut Microbiota of Short-chain Fatty Acids' Producer as Protective Factor of Cerebrovascular Disease.

BACKGROUND: Recent research advancements have indicated a potential association between gut microbiota and cerebrovascular diseases, although the precise causative pathways and the directionality of this association remain to be fully elucidated. OBJECTIVE: This study utilized a bidirectional two-sample Mendelian Randomization (MR) methodology to explore the causal impact of gut microbiota compositions on the risk of cerebrovascular disease. METHODS: Genome-wide Association Study (GWAS) data pertaining to gut microbiota were obtained from the MiBioGen consortium. For Ischemic Stroke (IS), Transient Ischemic Attack (TIA), Vascular Dementia (VD), and Subarachnoid Hemorrhage (SAH), GWAS summary data were sourced from the FinnGen consortium, the IEU Open GWAS project, and the GWAS catalog, respectively. RESULTS: Our MR analyses identified that specific bacterial strains, notably those involved in the production of Short-chain Fatty Acids (SCFAs), including Barnesiella, Ruminococcus torques group, and Coprobacter, serve as protective factors against IS, TIA, and SAH. Linkage Disequilibrium Score Regression (LDSC) analysis corroborated a significant genetic correlation between these gut microbiota strains and various forms of cerebrovascular disease. In contrast, reverse MR analysis failed to establish a bidirectional causal relationship between genetically inferred gut microbiota profiles and these cerebrovascular conditions. CONCLUSION: This investigation has pinpointed particular strains of gut microbiota that play protective or detrimental roles in cerebrovascular disease pathogenesis. These findings offer valuable insights that could be pivotal for the clinical management, prevention, and treatment of cerebrovascular diseases.

Association of Plasma Metal Levels with Outcomes of Assisted Reproduction in Polycystic Ovary Syndrome.

The objective of this study is to explore the correlation of metal levels with assisted reproductive technology (ART) outcomes in polycystic ovary syndrome (PCOS) patients. The individuals were recruited who met the research criteria, only tubal factor or male infertility served as the control group (n = 40) and patient group was PCOS patients (n = 35). Individuals (n = 75) were divided into PCOS group (n = 35) and control group (n = 40). The normal body mass index (BMI) group (control) includes women with BMI < 25 kg/m2 in PCOS group (n = 24) and control group (n = 33), and BMI ≥ 25 kg/m2 in PCOS group (n = 11) and control group (n = 7). We performed an analysis of insulin resistance (IR) (n = 15) group and without insulin resistance (NIR) group (n = 20) in PCOS patient and control patients. Comparing difference demographic data, ART outcomes and the metal levels in every group respectively, the correlation of metal levels and ART outcomes in control participants and PCOS patients were analyzed by the Spearman correlation analysis, and multiple linear regression model was used to examine the association between the concentration of 19 metals and ART outcomes in PCOS group and control group. Plasma manganese (Mn), titanium (Ti), sodium (Na), magnesium (Mg), copper (Cu), calcium (Ca)/Mg ratio, and Cu/zinc (Zn) ratio levels in PCOS patients were higher than that in control, while Zn and Ca levels were lower in PCOS patients than that in control. The Mg levels had a positive connection with the number of eggs recovered, and the iron (Fe) levels were positively associated with the number of transplanted embryos in PCOS-IR. In PCOS-NIR, Mn levels positively correlated with the number of follicles and the number of good embryos. Silver (Ag) levels were negatively correlated with the number of follicles, and aluminum (Al) levels were negatively related with the normal fertilization and the number of good embryos. The Spearman analysis in PCOS-BMI ≥ 25 group exhibited that nickel (Ni) levels were negatively associated with the number of follicles. The plasma metal levels seem to affect the clinical manifestations and in vitro fertilization outcomes in assisted reproduction.

Deciphering the contributing motifs of reconstructed cobalt (II) sulfides catalysts in Li-CO2 batteries.

Developing highly efficient catalysts is significant for Li-CO2 batteries. However, understanding the exact structure of catalysts during battery operation remains a challenge, which hampers knowledge-driven optimization. Here we use X-ray absorption spectroscopy to probe the reconstruction of CoSx (x = 8/9, 1.097, and 2) pre-catalysts and identify the local geometric ligand environment of cobalt during cycling in the Li-CO2 batteries. We find that different oxidized states after reconstruction are decisive to battery performance. Specifically, complete oxidation on CoS1.097 and Co9S8 leads to electrochemical performance deterioration, while oxidation on CoS2 terminates with Co-S4-O2 motifs, leading to improved activity. Density functional theory calculations show that partial oxidation contributes to charge redistributions on cobalt and thus facilitates the catalytic ability. Together, the spectroscopic and electrochemical results provide valuable insight into the structural evolution during cycling and the structure-activity relationship in the electrocatalyst study of Li-CO2 batteries.

Extracting double-quantum coherence in two-dimensional electronic spectroscopy under pump-probe geometry.

Two-dimensional electronic spectroscopy (2DES) can be implemented with different geometries, e.g., BOXCARS, collinear, and pump-probe geometries. The pump-probe geometry has the advantage of overlapping only two beams and reducing phase cycling steps. However, its applications are typically limited to observing the dynamics with single-quantum coherence and population, leaving the challenge to measure the dynamics of the double-quantum (2Q) coherence, which reflects the many-body interactions. We demonstrate an experimental technique in 2DES under pump-probe geometry with a designed pulse sequence and the signal processing method to extract 2Q coherence. In the designed pulse sequence, with the probe pulse arriving earlier than the pump pulses, our measured signal includes the 2Q signal as well as the zero-quantum signal. With phase cycling and data processing using causality enforcement, we extract the 2Q signal. The proposal is demonstrated with rubidium atoms. We observe the collective resonances of two-body dipole-dipole interactions in both the D1 and D2 lines.

Early results of the integrative epigenomic-transcriptomic landscape of colorectal adenoma and cancer.

BACKGROUND: Aberrant methylation is common during the initiation and progression of colorectal cancer (CRC), and detecting these changes that occur during early adenoma (ADE) formation and CRC progression has clinical value. AIM: To identify potential DNA methylation markers specific to ADE and CRC. METHODS: Here, we performed SeqCap targeted bisulfite sequencing and RNA-seq analysis of colorectal ADE and CRC samples to profile the epigenomic-transcriptomic landscape. RESULTS: Comparing 22 CRC and 25 ADE samples, global methylation was higher in the former, but both showed similar methylation patterns regarding differentially methylated gene positions, chromatin signatures, and repeated elements. High-grade CRC tended to exhibit elevated methylation levels in gene promoter regions compared to those in low-grade CRC. Combined with RNA-seq gene expression data, we identified 14 methylation-regulated differentially expressed genes, of which only AGTR1 and NECAB1 methylation had prognostic significance. CONCLUSION: Our results suggest that genome-wide alterations in DNA methylation occur during the early stages of CRC and demonstrate the methylation signatures associated with colorectal ADEs and CRC, suggesting prognostic biomarkers for CRC.

ZNF468 inhibits irradiation-induced G2/M cell cycle arrest and apoptosis by facilitating AURKA transcription in Esophageal Squamous Cell Carcinoma.

BACKGROUND: ZNF468 is a relatively unexplored gene that has been implicated in potential oncogenic properties in various cancer types. However, the exact role of ZNF468 in radiotherapy resistance of esophageal squamous cell carcinomas (ESCCs) is not well understood. METHODS: Bioinformatic analysis was performed using the TCGA database to assess ZNF468 expression and prognostic significance in pan-cancer and ESCC. Functional experiments were conducted using ZNF468 overexpressing and knockdown cell lines to assess its impact on cell survival, DNA damage response, cell cycle, and apoptosis upon radiation. A luciferase reporter assay was utilized to validate ZNF468 binding to the AURKA promoter. RESULTS: ZNF468 was significantly upregulated in diverse cancer types, including ESCC, and its high expression correlated with adverse prognosis in specific tumors. In the ESCC cohort, ZNF468 exhibited substantial upregulation in post-radiotherapy tissues, indicating its potential role in conferring radiotherapy resistance. Functional experiments revealed that ZNF468 enhances cell viability and facilitates DNA damage repair in radiotherapy-treated ESCC cells, while dampening the G2/M cell cycle arrest and apoptosis induced by radiation. Moreover, ZNF468 facilitated AURKA transcription, resulting in upregulated Aurora A expression, and subsequently inhibited P53 expression, unveiling key molecular mechanisms underlying radiotherapy resistance in ESCC. CONCLUSION: ZNF468 plays an oncogenic role in ESCC and contributes to radiotherapy resistance. It enhances cell survival while dampening radiation-induced G2/M cell cycle arrest and apoptosis. By modulating AURKA and P53 expression, ZNF468 represents a promising therapeutic target for enhancing radiotherapy efficacy in ESCC.