Relation-driven Query of Multiple Time Series.

Querying time series based on their relations is a crucial part of multiple time series analysis. By retrieving and understanding time series relations, analysts can easily detect anomalies and validate hypotheses in complex time series datasets. However, current relation extraction approaches, including knowledge- and data-driven ones, tend to be laborious and do not support heterogeneous relations. By conducting a formative study with 11 experts, we concluded six time series relations, including correlation, causality, similarity, lag, arithmetic, and meta, and summarized three pain points in querying time series involving these relations. We proposed RelaQ, an interactive system that supports the time series query via relation specifications. RelaQ allows users to intuitively specify heterogeneous relations when querying multiple time series, understand the query results based on a scalable, multi-level visualization, and explore possible relations beyond the existing queries. RelaQ is evaluated with two cases and a user study with 12 participants, showing promising effectiveness and usability.

The association between polyunsaturated fatty acids and chronic obstructive pulmonary disease: a meta-analysis.

Background: Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, and its development and prognosis are influenced by many nutrients. However, the relationship between polyunsaturated fatty acids (PUFAs) and COPD remains unclear. Methods: This study searched all literature reports on PUFAs and COPD based on electronic databases from their inception up to October 2023. Meta-analysis was conducted to evaluate the differences in PUFAs between COPD patients and controls, the risk of COPD in subjects with different levels of PUFA concentrations, and the effect of PUFA supplementation on COPD. Results: A total of nineteen studies met our inclusion criteria, which included 155 636 subjects. Our meta-analysis results showed that the daily dietary intake of PUFAs was lower in COPD patients than in controls (SMD = -0.80 g, 95% CI: -1.28, -0.31 g, I2 = 98.6%, P < 0.001). Meanwhile, the lower n-3 PUFA levels and higher n-6 PUFA levels were associated with an increased risk of COPD (effect size n-3 = 0.87, 95% CI: 0.77, 0.98, I2 = 52.2%, P = 0.018; effect size n-6 = 1.23, 95% CI: 1.05, 1.43, I2 = 75.2%, P < 0.001). Furthermore, the content of low-density lipoprotein cholesterol in the PUFA supplementation group was higher than that in the control group (SMD = 0.63 mg dL-1, 95% CI: 0.15, 1.12 mg dL-1, I2 = 0.0%, P = 0.697). Conclusions: Our meta-analysis indicated a potential relationship between PUFAs and COPD. More large-scale prospective cohort studies and clinical trials are necessary to validate this relationship.

LINC317.5 as a novel biomarker for hypertriglyceridemia in normal glucose metabolism.

The global rise in prediabetes and diabetes, with type 2 diabetes (T2DM) being predominant, highlights the association between T2DM and hypertriglyceridemia (HTG). Patients with both abnormal glucose levels and HTG require increased attention due to higher risks of complications and mortality. Therefore, this study aimed to find the key long non-coding RNA (lncRNA) of HTG in the abnormal glucose metabolism patients. We collected blood samples for RNA sequencing experiments and blood samples for validation in population. We have conducted RNA sequencing, weighted gene co-expression network analysis (WGCNA), quantitative real-time polymerase chain reaction (qRT-PCR) in a 82-vs-82-sample-size population and insulin induced HepG2, RNA- Fluorescence in situ hybridization (FISH) and Cell Counting Kit-8 (CCK-8). We also explored lipid metabolism related transcription factor and the related protein expression and processed key lncRNA by both interference expression and overexpression, and the related consequences were rescued by its target mRNA. ENST00000540317.5 (LINC317.5) was lower in HTG with abnormal glucose metabolism and was found in both cytoplasm and nucleus in HepG2, inversely regulating the accumulation of TG and its target mRNA TKFC. Relative expression of peroxisome proliferator-activated receptor alpha (PPARα) and peroxisome proliferator-activated receptor gamma (PPARγ) were decreasing, and SREBP-1c (sterol regulatory element-binding protein-1c) was increasing of the interference expression of LINC317.5. Interference expression of LINC317.5 significantly decreased the protein expression of ACADM and CPT1A, whereas increased the protein expression of FAS and ACC1. TKFC partly reduced the triglyceride (TG) accumulation of LINC317.5. In conclusion, we suggested LINC317.5-TKFC as a key for TG accumulation in the HepG2-insulin resistant (IR). These might provide information of non-invasive biomarkers for the HTG with abnormal glucose.

Serum copeptin in women with gestational diabetes mellitus: A meta-analysis.

To address inconsistencies in prior research, this meta-analysis examines the potential link between serum copeptin levels and the risk of developing gestational diabetes mellitus (GDM). Previous studies have reported mixed results regarding the relationship between serum copeptin levels and GDM risk. Our objective was to comprehensively evaluate this association. We systematically reviewed observational studies from Medline, Web of Science, Embase, Wanfang, and Chinese National Knowledge Infrastructure (CNKI) databases up to October 15, 2023, employing a random-effects model to integrate the data while considering heterogeneity. This analysis incorporated 10 studies comprising 625 women with GDM and 1212 healthy pregnant controls. Our findings showed no significant difference in serum copeptin levels between women with GDM and those without (standardized mean difference [SMD] 0.01, 95% confidence interval [CI] -0.22 to 0.24, P = 0.92, I2 = 75%). Univariate meta-analysis indicated a positive correlation between the body mass index (BMI) of the participants and the outcomes (coefficient = 0.11, P = 0.002). Further subgroup analysis demonstrated that women with a mean BMI ≥ 26 kg/m2 and GDM had significantly higher serum copeptin levels compared to their non-GDM counterparts (SMD 0.31, 95% CI 0.05 to 0.57, P = 0.02, I2 = 46%). Conversely, no difference was observed in women with a BMI < 26 kg/m2 (SMD -0.23, 95% CI -0.37 to -0.09, P = 0.002, I2 = 0%, P for subgroup difference = 0.003). Variables such as the country of study, maternal age, timing of blood sampling, copeptin measurement methods, or GDM diagnostic criteria did not significantly affect the results. In summary, the association between serum copeptin levels and GDM risk is influenced by the BMI of pregnant women, indicating that elevated serum copeptin might be linked to GDM in individuals with a BMI ≥ 26 kg/m2.

ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language.

The use of natural language interfaces (NLIs) to create charts is becoming increasingly popular due to the intuitiveness of natural language interactions. One key challenge in this approach is to accurately capture user intents and transform them to proper chart specifications. This obstructs the wide use of NLI in chart generation, as users' natural language inputs are generally abstract (i.e., ambiguous or under-specified), without a clear specification of visual encodings. Recently, pre-trained large language models (LLMs) have exhibited superior performance in understanding and generating natural language, demonstrating great potential for downstream tasks. Inspired by this major trend, we propose ChartGPT, generating charts from abstract natural language inputs. However, LLMs are struggling to address complex logic problems. To enable the model to accurately specify the complex parameters and perform operations in chart generation, we decompose the generation process into a step-by-step reasoning pipeline, so that the model only needs to reason a single and specific sub-task during each run. Moreover, LLMs are pre-trained on general datasets, which might be biased for the task of chart generation. To provide adequate visualization knowledge, we create a dataset consisting of abstract utterances and charts and improve model performance through fine-tuning. We further design an interactive interface for ChartGPT that allows users to check and modify the intermediate outputs of each step. The effectiveness of the proposed system is evaluated through quantitative evaluations and a user study.

In situ hydrodeoxygenation of heavy bio-oil using a Ce/Fe-based oxygen carrier in methanol-zero valent aluminum media.

Resource recovery from solid organic wastes, such as degradable plastics, and upgrading raw bio-oil are important ways for reducing carbon and pollution emissions. Hydrodeoxygenation (HDO) is a common thermochemical treatment to upgrade crude bio-oil. In this study, in order to realize in situ HDO during the hydropyrolysis of heavy bio-oil and degradable plastics, a reduced Fe/Ce oxygen carrier (OC) was used to catalytically remove oxygen from organics under the methanol-zero valent aluminum (ZV Al) media, where the hydrogen was produced during pyrolysis instead of a direct hydrogen supply. The results showed that the reduced OC captured the oxygen from the pyrolysis products of heavy bio-oil and degradable plastic, representing the multi-selectivity of reduced OC to phenols, ketones, etc. The ZV Al system promoted the production and utilization of hydrogen, as evidenced by the increased hydrogen content in gas phase and hydrocarbon content in liquid phase. The hydrocarbon component distribution in the liquid phase increased clearly when hydropyrolysis with degradable plastics addtion, but the excess degradable plastics addition caused increasing of the liquid product viscosity, and decreasing of the liquid products yield for the higher ash content in degradable plastic, and a higher ZV Al amount was required to maintain the hydropyrolysis. Molecular dynamics simulations verified the synergistic effect of degradable plastics and bio-oil by the pyrolysis behavior in different systems and temperatures, and the pyrolysis pathways were proposed. This non-autocatalytic system realized the resource recovery and heavy bio-oil upgrading using an Fe/Ce OC.

Gut microbial metabolite facilitates colorectal cancer development via ferroptosis inhibition.

The gut microbiota play a pivotal role in human health. Emerging evidence indicates that gut microbes participate in the progression of tumorigenesis through the generation of carcinogenic metabolites. However, the underlying molecular mechanism is largely unknown. In the present study we show that a tryptophan metabolite derived from Peptostreptococcus anaerobius, trans-3-indoleacrylic acid (IDA), facilitates colorectal carcinogenesis. Mechanistically, IDA acts as an endogenous ligand of an aryl hydrocarbon receptor (AHR) to transcriptionally upregulate the expression of ALDH1A3 (aldehyde dehydrogenase 1 family member A3), which utilizes retinal as a substrate to generate NADH, essential for ferroptosis-suppressor protein 1(FSP1)-mediated synthesis of reduced coenzyme Q10. Loss of AHR or ALDH1A3 largely abrogates IDA-promoted tumour development both in vitro and in vivo. It is interesting that P. anaerobius is significantly enriched in patients with colorectal cancer (CRC). IDA treatment or implantation of P. anaerobius promotes CRC progression in both xenograft model and ApcMin/+ mice. Together, our findings demonstrate that targeting the IDA-AHR-ALDH1A3 axis should be promising for ferroptosis-related CRC treatment.

PGAM5 knockout causes depressive-like behaviors in mice via ATP deficiency in the prefrontal cortex.

INTRODUCTION: Major depressive disorder (MDD) affects about 17% population in the world. Although abnormal energy metabolism plays an important role in the pathophysiology of MDD, however, how deficiency of adenosine triphosphate (ATP) products affects emotional circuit and what regulates ATP synthesis are still need to be elaborated. AIMS: Our study aimed to investigate how deficiency of PGAM5-mediated depressive behavior. RESULTS: We firstly discovered that PGAM5 knockout (PGAM5-/- ) mice generated depressive-like behaviors. The phenotype was reinforced by the observation that chronic unexpected mild stress (CUMS)-induced depressive mice exhibited lowered expression of PGAM5 in prefrontal cortex (PFC), hippocampus (HIP), and striatum. Next, we found, with the using of functional magnetic resonance imaging (fMRI), that the functional connectivity between PFC reward system and the PFC volume were reduced in PGAM5-/- mice. PGAM5 ablation resulted in the loss of dendritic spines and lowered density of PSD95 in PFC, but not in HIP. Finally, we found that PGAM5 ablation led to lowered ATP concentration in PFC, but not in HIP. Coimmunoprecipitation study showed that PGAM5 directly interacted with the ATP F1 F0 synthase without influencing the interaction between ATP F1 F0 synthase and Bcl-xl. We then conducted ATP administration to PGAM5-/- mice and found that ATP could rescue the behavioral and neuronal phenotypes of PGAM5-/- mice. CONCLUSIONS: Our findings provide convincing evidence that PGAM5 ablation generates depressive-like behaviors via restricting neuronal ATP production so as to impair the number of neuronal spines in PFC.

Excessive Lipid Peroxidation in Uterine Epithelium Causes Implantation Failure and Pregnancy Loss.

The uterine epithelium undergoes a dramatic spatiotemporal transformation to enter a receptive state, involving a complex interaction between ovarian hormones and signals from stromal and epithelial cells. Redox homeostasis is critical for cellular physiological steady state; emerging evidence reveals that excessive lipid peroxides derail redox homeostasis, causing various diseases. However, the role of redox homeostasis in early pregnancy remains largely unknown. It is found that uterine deletion of Glutathione peroxidase 4 (GPX4), a key factor in repairing oxidative damage to lipids, confers defective implantation, leading to infertility. To further pinpoint Gpx4's role in different cell types, uterine epithelial-specific Gpx4 is deleted by a lactotransferrin (Ltf)-Cre driver; the resultant females are infertile, suggesting increased lipid peroxidation levels in uterine epithelium compromises receptivity and implantation. Lipid peroxidation inhibitor administration failed to rescue implantation due to carbonylation of major receptive-related proteins underlying high lipid reactive oxygen species. Intriguingly, superimposition of Acyl-CoA synthetase long-chain family member 4 (ACSL4), an enzyme that promotes biosynthesis of phospholipid hydroperoxides, along with uterine epithelial GPX4 deletion, preserves reproductive capacity. This study reveals the pernicious impact of unbalanced redox signaling on embryo implantation and suggests the obliteration of lipid peroxides as a possible therapeutic approach to prevent implantation defects.

Causality-Based Visual Analysis of Questionnaire Responses.

As the final stage of questionnaire analysis, causal reasoning is the key to turning responses into valuable insights and actionable items for decision-makers. During the questionnaire analysis, classical statistical methods (e.g., Differences-in-Differences) have been widely exploited to evaluate causality between questions. However, due to the huge search space and complex causal structure in data, causal reasoning is still extremely challenging and time-consuming, and often conducted in a trial-and-error manner. On the other hand, existing visual methods of causal reasoning face the challenge of bringing scalability and expert knowledge together and can hardly be used in the questionnaire scenario. In this work, we present a systematic solution to help analysts effectively and efficiently explore questionnaire data and derive causality. Based on the association mining algorithm, we dig question combinations with potential inner causality and help analysts interactively explore the causal sub-graph of each question combination. Furthermore, leveraging the requirements collected from the experts, we built a visualization tool and conducted a comparative study with the state-of-the-art system to show the usability and efficiency of our system.

NL2Color: Refining Color Palettes for Charts with Natural Language.

Choice of color is critical to creating effective charts with an engaging, enjoyable, and informative reading experience. However, designing a good color palette for a chart is a challenging task for novice users who lack related design expertise. For example, they often find it difficult to articulate their abstract intentions and translate these intentions into effective editing actions to achieve a desired outcome. In this work, we present NL2Color, a tool that allows novice users to refine chart color palettes using natural language expressions of their desired outcomes. We first collected and categorized a dataset of 131 triplets, each consisting of an original color palette of a chart, an editing intent, and a new color palette designed by human experts according to the intent. Our tool employs a large language model (LLM) to substitute the colors in original palettes and produce new color palettes by selecting some of the triplets as few-shot prompts. To evaluate our tool, we conducted a comprehensive two-stage evaluation, including a crowd-sourcing study ( N=71) and a within-subjects user study ( N=12). The results indicate that the quality of the color palettes revised by NL2Color has no significantly large difference from those designed by human experts. The participants who used NL2Color obtained revised color palettes to their satisfaction in a shorter period and with less effort.

The role of body mass index on the association between the energy-adjusted dietary inflammatory index and hyperuricemia: a mediation analysis based on NHANES (2007-2016).

BACKGROUND: The Energy-Adjusted Dietary Inflammatory Index (E-DII) is related to both body mass index (BMI) and hyperuricemia. However, the association among BMI, hyperuricemia and DII is yet to be fully elucidated. The purpose of this study is to explore the role of BMI in the relationship between E-DII and hyperuricemia in the American population. METHODS: A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016, with a sample size of 10,571 participants. The study used a weighted logistic regression model and a generalized additive model (GAM) to explore the associations among BMI, hyperuricemia and E-DII. Furthermore, mediation analysis was utilized to illustrate the mediating relationships among these variables. RESULTS: The results of the study indicated that a higher E-DII was related to an increased risk of hyperuricemia. The association between E-DII and hyperuricemia was partially mediated by BMI. CONCLUSIONS: E-DII is associated with hyperuricemia. BMI mediates the relationship between E-DII and hyperuricemia among Americans, which provides crucial information for the prevention of hyperuricemia.

Cholesterol mediated ferroptosis suppression reveals essential roles of Coenzyme Q and squalene.

Recent findings have shown that fatty acid metabolism is profoundly involved in ferroptosis. However, the role of cholesterol in this process remains incompletely understood. In this work, we show that modulating cholesterol levels changes vulnerability of cells to ferroptosis. Cholesterol alters metabolic flux of the mevalonate pathway by promoting Squalene Epoxidase (SQLE) degradation, a rate limiting step in cholesterol biosynthesis, thereby increasing both CoQ10 and squalene levels. Importantly, whereas inactivation of Farnesyl-Diphosphate Farnesyltransferase 1 (FDFT1), the branch point of cholesterol biosynthesis pathway, exhibits minimal effect on ferroptosis, simultaneous inhibition of both CoQ10 and squalene biosynthesis completely abrogates the effect of cholesterol. Mouse models of ischemia-reperfusion and doxorubicin induced hepatoxicity confirm the protective role of cholesterol in ferroptosis. Our study elucidates a potential role of ferroptosis in diseases related to dysregulation of cholesterol metabolism and suggests a possible therapeutic target that involves ferroptotic cell death.

CARDIAN: a novel computational approach for real-time end-diastolic frame detection in intravascular ultrasound using bidirectional attention networks.

Introduction: Changes in coronary artery luminal dimensions during the cardiac cycle can impact the accurate quantification of volumetric analyses in intravascular ultrasound (IVUS) image studies. Accurate ED-frame detection is pivotal for guiding interventional decisions, optimizing therapeutic interventions, and ensuring standardized volumetric analysis in research studies. Images acquired at different phases of the cardiac cycle may also lead to inaccurate quantification of atheroma volume due to the longitudinal motion of the catheter in relation to the vessel. As IVUS images are acquired throughout the cardiac cycle, end-diastolic frames are typically identified retrospectively by human analysts to minimize motion artefacts and enable more accurate and reproducible volumetric analysis. Methods: In this paper, a novel neural network-based approach for accurate end-diastolic frame detection in IVUS sequences is proposed, trained using electrocardiogram (ECG) signals acquired synchronously during IVUS acquisition. The framework integrates dedicated motion encoders and a bidirectional attention recurrent network (BARNet) with a temporal difference encoder to extract frame-by-frame motion features corresponding to the phases of the cardiac cycle. In addition, a spatiotemporal rotation encoder is included to capture the IVUS catheter's rotational movement with respect to the coronary artery. Results: With a prediction tolerance range of 66.7 ms, the proposed approach was able to find 71.9%, 67.8%, and 69.9% of end-diastolic frames in the left anterior descending, left circumflex and right coronary arteries, respectively, when tested against ECG estimations. When the result was compared with two expert analysts' estimation, the approach achieved a superior performance. Discussion: These findings indicate that the developed methodology is accurate and fully reproducible and therefore it should be preferred over experts for end-diastolic frame detection in IVUS sequences.

The relationship between vitamin K and T2DM: a systematic review and meta-analysis.

Background: Previous studies have shown the potential role of vitamin K supplementation in the prevention and treatment of many diseases. However, the effect of vitamin K supplementation on blood glucose remains controversial. The purpose of this study was to assess the effects of vitamin K supplementation on glycemia-related indicators, including Fasting Blood Sugar (FBS), Fasting Insulin (FINS) and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR). The potential association between vitamin K and type 2 diabetes mellitus (T2DM) risk was also evaluated. Methods: Up to April 2023, Cochrane, PubMed, Web of Science, Medline and EMBASE databases were searched to assess the effects of vitamin K on blood glucose and the risk of developing T2DM. Results: A meta-analysis of seven studies (813 participants) found vitamin K supplementation significantly reduced FBS (SMD = -0.150 mg dl-1, 95% CI = -0.290, -0.010 mg dl-1) and HOMA-IR (SMD = -0.200, 95% CI = -0.330, -0.060), but not FINS. Five studies with a total of 105 798 participants were included in the meta-analysis of the association between vitamin K and T2DM. The results showed that vitamin K was associated with the reduced risk of developing T2DM (HR = 0.79, 95% CI [0.71-0.88], P < 0.001). Conclusion: The meta-analysis demonstrated that vitamin K supplementation had a significant effect on the regulation of FBS and HOMA-IR in the population. Moreover, vitamin K was associated with the reduced risk of developing T2DM. Considering some limitations found in this study, additional data from large clinical trials are needed.

Multi-omics analyses of serum metabolome, urine metabolome and gut microbiome reveal dysregulated glycerophospholipid metabolism in subacute cadmium-exposed wistar rats.

Data is limited on intestinal microbiota and metabolites in healthy residents exposed to cadmium (Cd), a population uniquely susceptible to Cd toxicity through contaminated foods. In this study, the 16 S rRNA gene sequencing, serum metabolomics and urine metabolomics were performed to examine the alterations of gut microbiota and metabolomics profile of wistar rats exposed to Cd. These findings indicated that Cd exposure markedly altered the structure of gut microbial community, reduced significantly microbiome diversity, and identified 5 phyla and 6 genera with significant changes. Specifically, the levels of Pseudoxanthomonas and Anaerovibrio upregulated and that of Akkermansia, Brachyspira, Aggregatibacter and SMB53 reduced in rats treated with Cd. Metabolomics profiles of the urine and serum of Cd-treated rats revealed that the abundance of glycerophospholipid metabolites and their derivatives were markedly altered. Glycerophospholipid metabolic pathways that were markedly enriched in metabolomics in both samples was also significantly predicted in gut microbiota analysis. Further, interaction analysis predicted that there might be a relationship between the differential glycerophospholipid metabolites and affected bacteria genera induced by Cd. These results suggested that subacute Cd could disrupt the intestinal microecologica equilibrium and glycerophospholipid metabolic homeostasis, and also provided potential differential microbiota and glycerophospholipid biomarkers between subacute Cd-exposed rats and healthy rats.

Association between atherogenic index of plasma and prehypertension or hypertension among normoglycemia subjects in a Japan population: a cross-sectional study.

OBJECTIVE: The atherogenic index of plasma (AIP), consisting of triglycerides and high-density lipoprotein cholesterol, is applied to estimate the cardiovascular disease risk. The evidence regarding the association between AIP and prehypertension or hypertension remains inconclusive. This study was conducted to investigate the association of AIP and prehypertension or hypertension in normoglycemic subjects in Japan. METHODS: In the present cross-sectional study, 15,453 normoglycemic participants aged 18 years or older in Gifu, Japan, were evaluated. The selected participants were separated into four groups in the light of AIP quartiles, ranging from the lowest quartile (Q1) to the highest quartile (Q4). And the association between AIP and prehypertension or hypertension was explored with multivariate logistic regression by gradually adjusting model. RESULTS: Among the 15,453 participants, aged of 43.7 ± 8.9 years, and of whom 45.5% were females, the prevalence rates of prehypertension or hypertension were 27.68% (4,278) and 6.23% (962) respectively. In multivariate logistic regression analyses, participants in the highest AIP quartile had an increase risk in prehypertension and hypertension, compared with participants the lowest one, the odds ratios (OR) were 1.15 (95%CI: 1.00-1.13, P = 0.045) for prehypertension and 1.54 (95%CI:1.16-2.04, P = 0.003) for hypertension after adjusting confounders. In subgroup analyses, the high risk of hypertension was also observed for female participants in the highest AIP quartile (Q4) (OR = 2.19, 95%CI: 1.37-3.49, P = 0.001), especially between the ages of 40 and 60 years (OR = 2.20, 95%CI: 1.24-3.88, P = 0.007). CONCLUSIONS: Higher AIP is significantly and positively associated with the risk of prehypertension or hypertension in normoglycemic subjects in Gifu, Japan, which was more pronounced in the female population, especially between the years of 40 and 60.

YouTube as a source of information on preventing the use of valproic acid in women during pregnancy.

BACKGROUND: YouTube™ ( http://www.youtube.com ), as a very popular video site worldwide, is increasingly being used as a platform to disseminate health information. The purposes of this review were to assess the overall usefulness of the information on the prevention of valproic acid use in women during pregnancy on YouTube™ for patients. METHODS: The YouTube™ website was systematically using 8 keywords. One hundred and fifty four videos meet the selection criteria. The researcher evaluated the video duration, days since upload, views and the likes. These videos are categorized as Education, News & Politics and People & Blogs. We designed a usefulness scoring scheme to assess videos quality and classified them as "slightly useful", "useful" and "very useful". The Kruskal-Wallis test was used to determine whether differences existed between total usefulness scores and categories and Pearson chi-square test for categorical variables. RESULTS: The majority of videos were educational (62.8%). The "People & Blogs" and "News & Politics" videos scored significantly higher, but had no significant difference in days since upload, views, views/day or likes. More than half of the videos (91/154) were categorized as "useful". The mean posted days (p = 0.045) was significantly different in the useful group compared with the slightly useful group. There were no correlation between usefulness and the number of days since upload, duration, views, views/day, or likes. CONCLUSION: YouTube™ is a promising source of information regarding the use of valproic acid during pregnancy. "News & Politics" videos are the most usefulness. Considering the presence of more slightly useful information, publishers need to improve more comprehensive video content that includes replacement medications, diagnoses and treatments. In the healthcare information space, consumers need to be directed to reliable video.

Effect of Ethanol-Induced Methyl Donors Consumption on the State of Hypomethylation in Cervical Cancer.

Cervical cancer causes malignant tumors in females and threatens the physical and mental health of women. Current research shows that persistent infection of high-risk HPV is the main cause of cervical cancer. However, not all cervical cancer is caused by HPV infection, which may also be related to other factors, such as nutritional status and lifestyle. This study focuses on the effect of alcohol consumption on the methylation status of cervical cancer from the perspective of methyl donors. We established a mouse tumor-bearing model with cervical cancer SiHa cells, and at the same time, we cultured SiHa cells in vitro. Different concentrations of ethanol were administered to the model mice and SiHa cells. Then, we detected the levels of the methyl-donor folate and methionine and their metabolite homocysteine levels in mice serum, tumor tissues, and SiHa cells. Furthermore, we determined the expression of the members of the DNA methyltransferase family (DNMT1, DNMT3a, and DNMT3b) in tumor tissue by immunohistochemistry. qRT-PCR and Western blotting analysis were used to detect the mRNA and protein levels of members of the DNA methyltransferase family in cervical cancer SiHa cells. Our results show that the levels of the methyl donor (folate and methionine) decreased with the increase of ethanol concentration (p < 0.05), and the homocysteine level increased significantly (p < 0.05). In SiHa cells, the mRNA and protein levels of the DNMT family members and their receptors were significantly higher than those in the control group (p < 0.05). Collectively, these results suggest that ethanol could influence DNMT expression by inducing methyl donor consumption, thereby causing cervical cancer cells to exhibit genome-wide hypomethylation.

Does vitamin D have a potential role in precocious puberty? A meta-analysis.

Background: Precocious puberty, one of the common pediatric endocrine system diseases, has been related to reduced adult height, adverse psychological outcomes and long-term health consequences. Previous findings have found that low levels of vitamin D appear to be associated with the characteristics of precocious puberty such as early menarche. However, the effect of vitamin D on precocious puberty remains controversial. Methods: The published literature was searched from PubMed, Web of Science, Cochrane Library, MEDLINE, EMBASE, CNKI, Wan Fang and VIP databases up to October 2022. A randomized effect model was used to perform a meta-analysis to evaluate differences in vitamin D concentration between precocious puberty subjects and normal subjects, the risk of precocious puberty in subjects with low vitamin D levels, and the effect of supplementation of vitamin D on subjects with precocious puberty on medication. Results: Our study found that precocious puberty subjects had lower serum vitamin D levels than the normal population (standardized mean difference (SMD) = -1.16 ng ml-1 and 95% confidence interval (CI) = -1.41 and -0.91 ng ml-1). Meanwhile, the lower level of vitamin D was associated with the risk of precocious puberty (odd ratio (OR) = 2.25 and 95% CI = 1.66 and 3.04). Moreover, compared with gonadotropin-releasing hormone analogue (GnRHa) intervention alone, subjects receiving GnRHa + vitamin D intervention had significantly lower luteinizing hormone (LH), follicle-stimulating hormone (FSH), and estradiol levels and bone age, and higher predicted adult height (PAH). Conclusions: Vitamin D may have a potential role in precocious puberty and more data from large clinical trials are needed to confirm the findings.