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Background Anxiety disorders are among the most prevalent mental health conditions, characterized by excessive fear, tension, avoidance behaviors, and heightened threat perception. Approximately 1 in 14 individuals meets the diagnostic criteria for an anxiety disorder. Flavonoids, bioactive compounds found in fruits, vegetables, and tea, possess antioxidant, anti-inflammatory, and neuroprotective properties. However, evidence on the relationship between flavonoid intake and anxiety risk remains limited. This study examines the association between flavonoid intake and anxiety risk and explores the effects of specific flavonoid subclasses. Methods This study utilized data from the National Health and Nutrition Examination Survey (NHANES). Individual flavonoid intake was assessed using two-day 24-hour dietary recalls, and anxiety status was evaluated through a standardized anxiety questionnaire. To assess the relationship between flavonoid intake and anxiety risk, weighted logistic regression analysis was performed. Additionally, restricted cubic spline (RCS) analysis was employed to evaluate potential nonlinear associations. We conducted subgroup analyses for flavonoids that showed significant associations in the logistic regression, including theaflavin-3-gallate, total flavones, total flavanones, total isoflavones, and naringenin. These analyses aimed to explore the moderating effects of demographic characteristics such as sex, age, marital status, smoking status, and body mass index (BMI). Results We analyzed data from 1,637 participants in the NHANES. Significant differences were observed between the anxious and non-anxious groups in age, poverty-income ratio (PIR), BMI, smoking status, marital status, education level, and flavonoid intake. The anxious group had higher age (47.12 vs. 42.81 years, P  < 0.0001), PIR ( P  < 0.0001), and BMI ( P  = 0.01). They also had a higher proportion of females, unmarried individuals, and current smokers ( P  < 0.0001). Logistic regression analysis showed that genistein, petunidin, naringenin, apigenin, and total flavones were significantly associated with reduced anxiety risk ( P  < 0.05). Subgroup analysis confirmed protective effects in males, married individuals, participants with General Educational Development (GED)-level education, and specific ethnic groups. RCS analysis suggested nonlinear relationships, with total flavones, total flavanones, and naringenin showing protective effects at low intake levels ( P  < 0.05). All models demonstrated good fit ( P  < 0.001). Conclusion Flavonoid intake is inversely associated with anxiety risk, particularly Theaflavin-3-gallate, Total Flavones, Total Flavanones, Total Isoflavones, and Naringenin. Further studies are needed to confirm optimal intake levels and underlying mechanisms.

Background Schizophrenia (SCZ) is a complex mental disorder characterized by a wide range of symptoms and cognitive impairments. The search for reliable biomarkers for SCZ has gained increasing attention in recent years, as they hold the potential to improve early diagnosis and intervention strategies. To understand the research trends and collaborations in this field, a comprehensive Bibliometric analysis of SCZ and biomarkers research was conducted. Methods A systematic search of the Web of Science Core Collection was performed to retrieve relevant articles published from January 2000 to July 2023. The search focused on SCZ and biomarkers. Bibliometric tools, including CiteSpace, VOSviewer, and R package Bibliometrix, were utilized to perform data extraction, quantitative analysis, and visualization. Results The search focused on SCZ and biomarkers, and a total of 2935 articles were included in the analysis. The analysis revealed a gradual increase in the number of publications related to SCZ and biomarkers over the years, indicating a growing research focus in this area. Collaboration and research activity were found to be concentrated in the United States and Western European countries. Among the top ten most active journals, \"Schizophrenia Research\" emerged as the journal with the highest number of publications and citations related to SCZ and biomarkers. Recent studies published in this journal have highlighted the potential use of facial expressions as a diagnostic biomarker for SCZ, suggesting that facial expression analysis using big data may hold promise for future diagnosis and interventions. Furthermore, the analysis of key research keywords identified inflammatory factors, DNA methylation changes, and glutamate alterations as potential biomarkers for SCZ diagnosis. Conclusion This Bibliometric analysis provides valuable insights into the current state of research on SCZ and biomarkers. The identification of reliable biomarkers for SCZ could have significant implications for early diagnosis and interventions, potentially leading to improved outcomes for individuals affected by this challenging mental disorder. Further research and collaborations in this field are encouraged to advance our understanding of SCZ and enhance diagnostic and therapeutic approaches.

Abstract Background Second-generation antipsychotics (SGAs) are widely prescribed for psychiatric disorders but frequently cause sexual dysfunction, particularly in women—a side effect often underrecognized. This study assessed the association between SGAs and female sexual dysfunction using the US Food and Drug Administration Adverse Event Reporting System (FAERS). Study Methods We analyzed FAERS data from Q1 2004 to Q4 2023, identifying female sexual dysfunction cases using predefined MedDRA Preferred Terms. Nine SGAs were included: aripiprazole, quetiapine, olanzapine, risperidone, paliperidone, lurasidone, brexpiprazole, asenapine, and ziprasidone. Disproportionality analyses were conducted using frequentist (ROR, PRR) and Bayesian (BCPNN, MGPS) methods. Results were stratified by symptom type and prolactin-related drug effects. Study Results A total of 11 786 reports were identified, peaking in 2017. Women aged 19-41 years accounted for the largest subgroup (n = 4787, 40.6%). Antipsychotics accounted for 9 of the top 50 drugs linked to sexual dysfunction, with aripiprazole, quetiapine, and olanzapine most frequently reported. Aripiprazole was strongly associated with compulsive sexual behavior (ROR: 296.23) and hypersexuality. Risperidone and paliperidone were linked to decreased libido and anorgasmia. Prolactin-elevating drugs were associated with older age, intramuscular use, and more serious outcomes. Conclusion This pharmacovigilance study highlights significant associations between specific SGAs and female sexual dysfunction. Disproportionality signals vary by drug, symptom type, and prolactin-related mechanisms. Clinicians should consider sexual side effects in treatment decisions and monitor patients accordingly. Further prospective studies are warranted.

Background Methylphenidate, atomoxetine, and amphetamine are the most commonly prescribed medications for ADHD, approved by the FDA. Despite their widespread use, real-world studies on their serious adverse effects are limited. This study leverages the FAERS database to analyze the safety of these drugs. Methods A retrospective analysis was conducted using FAERS data from 2004 to 2023. Adverse event (AE) signals for methylphenidate, atomoxetine, and amphetamine were identified by calculating reporting odds ratios (RORs), proportional reporting ratios (PRRs), information components (ICs), and empirical Bayesian geometric mean (EBGM). Results The analysis included 72,298 reports, with 37,471 linked to methylphenidate, 17,335 to atomoxetine, and 17,492 to amphetamine. Significant AE signals were found, especially in psychotic disorders for methylphenidate (ROR = 4.47, PRR = 3.7) and amphetamines (ROR = 4.06, PRR = 3.43), and psychiatric and reproductive disorders for atomoxetine (ROR = 5.44, PRR = 4.29; ROR = 2.49, PRR = 2.46). At the PT level, the most common adverse safety signals for the three ADHD drugs were Application site erythema, Somnolence, and Headache. Further analysis showed that “Aggression”, “Mydriasis”, “Trichotillomania” and suicide-related adverse reactions showed strong signals in the three ADHD drugs. However, there are also differences between the three ADHD medications. For example, serious adverse effects related to cardiovascular and neurological effects were stronger in amphetamines, with the “coronary artery dissection” and “carotid artery dissection” signals being the most significant; “Precocious puberty” has a stronger signal in methylphenidate, and the signal associated with elevated liver enzymes is strongest in atomoxetine. In addition, we also found some PTs that were not included in the drug label, such as “Disturbance in social behaviour” and “Trichotillomania”. Conclusions In this study, pharmacovigilance analysis of methylphenidate, atomoxetine, and amphetamine was performed using the FAERS database, and we identified significant safety signals. Of note, three ADHD medications are associated with suicide-related signals, amphetamine associated with coronary artery dissection, methylphenidate associated with precocious puberty, and atomoxetine associated with testicle, penile lesions, and liver damage, which require special attention. This study provides a reference for the clinical personalized medication of ADHD patients.

Background: Breastfeeding is critical to promote maternal and child health in a short and long term. China has set national targets to further improve the exclusive breastfeeding rate. We aimed to examine associations between the provision of early essential newborn care (EENC) and breastfeeding outcomes among full-term vaginally delivered neonates in the first six months of life. Methods: We conducted a quasi-experimental study in eight maternal and children’s hospitals in Mianyang City and Deyang City in Sichuan Province of western China. Four hospitals were randomly selected as the intervention group with the implementation of EENC while others as the control group receiving routine care. We assessed effects of EENC on breastfeeding initiation time, duration of first-time breastfeeding, and exclusive breastfeeding rates up to six months of age. Data in both groups were collected after delivery, at hospital discharge, 1 month, 3 months, and 6 months post birth in the baseline phase from May to June 2017 and post-EENC phase from October to December 2017. Written consent was obtained from eligible mothers enrolled in this study. We performed univariate analyses to ascertain differences between the two groups, and difference in difference (DID) models to explore the net effects. Results: Of the 1349 enrolled mother and newborn pairs in our study, 1131 (83.9%) were followed up at 1 month of age, 1075 (79.7%) at 3 months, and 981 (72.7%) at 6 months. EENC was associated with earlier median time to initiate breastfeeding (25min vs. 33min, P<0.01), an increased chance of successful first-time breastfeeding (OR=5.53; 95% CI: 2.69, 11.40), longer duration of skin to skin contact (SSC) (21.53 min; 95% CI: 18.17, 24.89) and longer duration of the first breastfeed (4.16 min; 95% CI: 2.10, 6.22), and an increased likelihood of being exclusively breastfed at discharge (74.5% vs. 55.0%, P<0.001), 3 months (OR=3.20; 95% CI: 1.01, 10.15), and 6 months (OR=4.91; 95% CI: 1.71, 14.13) of age. Conclusions: EENC enhances early and successful breastfeeding initiation, prolongs duration of the first breastfeed, and increases the rate of exclusive breastfeeding at six months of age. Our evidence suggests that nation wide scale up of EENC would increase the exclusive breastfeeding rate in the first six months of life.

The relationship between fungi and cancer is gradually receiving attention. Among them, some clinical evidence has shown that Candida may be a contributor to gastrointestinal cancers, especially oral cancer. The association between Candida albicans ( C. albicans ) and oral cancer (OC) has been noticed for a long time, but the mechanisms for C. albicans promoting OC are rarely explored. In this study, we determined that C. albicans infection promoted OC incidence in a 4-nitroquinoline 1-oxide (4NQO)-induced mouse tongue carcinogenesis model as well as promoted OC progression in a tongue tumor-bearing mouse model (C3H/HeN-SCC VII). We then demonstrated that tumor-associated macrophage (TAMs) infiltration was elevated during C. albicans infection. Meanwhile, the attracted TAMs polarized into M2-like macrophages with high expression of programmed death ligand 1 (PD-L1) and galectin-9 (GAL-9). Further analysis suggested that the interleukin (IL)-17A/IL-17RA pathway activated in OC cells was a contributor to the excessive TAMs infiltration in C. albicans -infected mice. Thus, we constructed IL-17A neutralization and macrophage depletion experiments in C3H/HeN-SCC VII mice to explore the role of IL-17A/IL-17RA and TAMs in OC development caused by C. albicans infection. The results showed that both IL-17A neutralization and macrophage depletion tended to reduce the TAMs number and tumor size in mice with C. albicans infection. Collectively, our finding revealed that C. albicans promoted OC development via the IL-17A/IL-17RA-macrophage axis, opening perspectives for revealing C. albicans -tumor immune microenvironment links. IMPORTANCE The relationship between fungi and cancer is gradually receiving attention. Among them, some clinical evidence has shown that Candida may be a contributor to gastrointestinal cancers, especially oral cancer. However, the underlying mechanisms for Candida promoting oral cancer need to be explored. For this reason, this study demonstrated the role of C. albicans in oral cancer development. Moreover, this study revealed the underlying mechanisms for C. albicans promoting oral cancer from the perspective of the tumor immune microenvironment.

Candida albicans is one of the most common opportunistic fungi in cancer patients. This study explored the influence of C. albicans on gut microbiota in oral tumour-bearing mice by means of 16S rRNA sequencing and ITS sequencing. It was found that C. albicans infection induced the decrease of alpha diversity of bacteria and fungi in the gut microbiome. For the bacteria, C. albicans caused the reduction of Ralstonia, Alistipes, Clostridia UCG-014, Ruminococcus, and Lachnospiraceae NK4A136 group. For the fungi, C. albicans inhibited the growth of other fungi including Aspergillus, Cladosporium, and Bipolaris. The neutralisation of γδT cells partly alleviated the out-of-balance of Firmicutes/Bacteroidota (F/B) ratio in the gut caused by C. albicans infection. However, γδT cell neutralisation boosted the overgrowth of C. albicans. Additionally, IL-17A neutralisation aggravated the microbial dysbiosis of bacteria and fungi caused by C. albicans infection. Further analysis indicated that C. albicans overgrowth might influence the correlations between fungal and bacterial kingdoms. In conclusion, C. albicans infection disturbed the gut microbiota of both bacteria and fungi in oral tumour-bearing mice, which may be associated with the intestinal immune components including γδT cells and IL-17A.

Immune-related adverse events (irAEs) typically occur within 3 months of initiating immune-checkpoint inhibitors (ICIs), which has been extensively documented. But the clinical profiles of late-onset irAEs remain inadequately characterized. Therefore, this study aims to quantify the correlation between delayed irAEs and ICIs, and to delineate the profiles of delayed toxicities associated with ICIs using data from the Food and Drug Administration Adverse Event Reporting System (FAERS). Data from the January 2011 to December 2023 in FAERS database were extracted. Four signal detection indices, reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS), were employed to evaluate the associations between ICIs and delayed irAEs. A total of 147,854 cases were included in this study, of which 3,738 cases related to delayed irAEs were identified. Generally, 8 signals at System Organ Class (SOC) level were found to be associated with ICIs. Males had a slightly higher reporting frequencies for respiratory disorders (ROR = 0.95) and blood and lymphatic system disorders (ROR = 1.22), but lower reporting frequencies for immune system disorders (ROR = 1.16). Three monotherapy (anti-PD-1, anti-PD-L1 and anti-CTLA-4) were all associated with significant increasing gastrointestinal disorders (ROR = 1.66, 1.16, 1.99) and metabolism disorders (ROR = 2.26, 1.74, 3.13). Anti-PD-1 therapy exhibited higher rates of respiratory toxicities (ROR = 1.46 versus 0.82) and skin toxicities (ROR = 1.27 versus 0.94) compared with anti-CTLA-4 therapy. At PT levels, pneumonitis (ROR : from 11.85 to 29.27) and colitis (ROR : from 2.11 to 24.84) were the most notable PT signals associated with all three ICI regimens. For outcomes of delayed irAEs, gastrointestinal disorders showed the highest proportion (51.06%) of death. Our pharmacovigilance analysis indicates that a small percentage of patients receiving ICIs therapy experience delayed irAEs, which are challenging to manage and may result in severe consequences. Prompt identification and intervention of these delayed irAEs are crucial in clinical practice.

Carbon fiber reinforced polymer (CFRP) components require precise curing process control to ensure quality, but traditional phenomenological cure kinetics models face limitations in handling nonlinearity and data diversity. This study addresses the challenges in modeling the cure kinetics of carbon fiber reinforced polymer (CFRP) composites, where traditional phenomenological models lack generalizability and neural networks suffer from robustness issues due to their numerous hyperparameters and data dependency. To overcome these limitations, a novel machine learning model called the angle information-enhanced radial basis function (RBF) model is proposed, which integrates both Euclidean distance and angular relationships between data points to improve prediction stability and accuracy. The performance of this machine learning approach is systematically compared against an autocatalytic model and a neural network using dynamic DSC data from T700/2626 epoxy resin at multiple heating rates. The angle-enhanced RBF model balances accuracy, efficiency, and robustness, offering a reliable data-driven alternative for CFRP cure kinetics prediction without requiring extensive data or complex hyperparameter optimization, thus facilitating better process control in manufacturing.

Current research on chili powder and oil has predominantly focused on cultivar selection and oil temperature, while the impact of thermal pretreatment methods on their quality and flavor profiles remains underexplored. In this study, the flavor profiles of raw untreated, stir-fried, oven-baked, and microwaved chili powders (RC, SC, OC, and MC) and their corresponding chili oils obtained through secondary flavor activation (RCO, SCO, OCO, and MCO) were analyzed using E-nose, GC-IMS, HS-SPME-GC-MS, LC-MS/MS, and sensory evaluation techniques. E-nose and GC-IMS 2D topographic plots revealed that thermal treatment increased the concentration of volatile flavor compounds. HS-SPME-GC-MS further detected 220 and 207 volatile compounds in chili powders and oils, respectively, with 74 and 35 identified as differential volatile compounds. Aldehydes ((E,E)-2,4-heptadienal, benzaldehyde), alcohols (1-nonanol, 2-furanmethanol), Maillard reaction products (ethyl pyrazine, 2,3-dimethylpyrazine, and 2-ethyl-6-methylpyrazine), and methyl acetate were significantly enhanced in SC, OC, and MC and their corresponding chili oils. Among them, OC and OCO showed the greatest increase in differential flavor substances. Additionally, all three treatments enhanced the release of taste-active substances and improved sensory overall acceptability. These findings provide new insights for the food industry in optimizing chili product processing.