Establishing subdivisions of M1 stage nasopharyngeal carcinoma based on decision tree classification: A multicenter retrospective study.

OBJECTIVES: To meet the demand for personalized treatment, effective stratification of patients with metastatic nasopharyngeal carcinoma (mNPC) is essential. Hence, our study aimed to establish an M1 subdivision for prognostic prediction and treatment planning in patients with mNPC. MATERIALS AND METHODS: This study included 1239 patients with mNPC from three medical centers divided into the synchronous mNPC cohort (smNPC, n = 556) to establish an M1 stage subdivision and the metachronous mNPC cohort (mmNPC, n = 683) to validate this subdivision. The primary endpoint was overall survival. Univariate and multivariate Cox analyses identified covariates for the decision-tree model, proposing an M1 subdivision. Model performance was evaluated using time-dependent receiver operating characteristic curves, Harrell's concordance index, calibration plots, and decision curve analyses. RESULTS: The proposed M1 subdivisions were M1a (≤5 metastatic lesions), M1b (>5 metastatic lesions + absent liver metastases), and M1c (>5 metastatic lesions + existing liver metastases) with median OS of 34, 22, and 13 months, respectively (p < 0.001). This M1 subdivision demonstrated superior discrimination (C-index = 0.698; 3-year AUC = 0.707) and clinical utility over those of existing staging systems. Calibration curves exhibited satisfactory agreement between predictions and actual observations. Internal and mmNPC cohort validation confirmed the robustness. Survival benefits from local metastatic treatment were observed in M1a, while immunotherapy improved survival in patients with M1b and M1c disease. CONCLUSION: This novel M1 staging strategy provides a refined approach for prognostic prediction and treatment planning in patients with mNPC, emphasizing the potential benefits of local and immunotherapeutic interventions based on individualized risk stratification.

AURKB promotes colorectal cancer progression by triggering the phosphorylation of histone H3 at serine 10 to activate CCNE1 expression.

Aurora kinase B (AURKB) initiates the phosphorylation of serine 10 on histone H3 (pH3S10), a crucial process for chromosome condensation and cytokinesis in mammalian mitosis. Nonetheless, the precise mechanisms through which AURKB regulates the cell cycle and contributes to tumorigenesis as an oncogenic factor in colorectal cancer (CRC) remain unclear. Here, we report that AURKB was highly expressed and positively correlated with Ki-67 expression in CRC. The abundant expression of AURKB promotes the growth of CRC cells and xenograft tumors in animal model. AURKB knockdown substantially suppressed CRC proliferation and triggered cell cycle arrest in G2/M phase. Interestingly, cyclin E1 (CCNE1) was discovered as a direct downstream target of AURKB and functioned synergistically with AURKB to promote CRC cell proliferation. Mechanically, AURKB activated CCNE1 expression by triggering pH3S10 in the promoter region of CCNE1. Furthermore, it was showed that the inhibitor specific for AURKB (AZD1152) can suppress CCNE1 expression in CRC cells and inhibit tumor cell growth. To conclude, this research demonstrates that AURKB accelerated the tumorigenesis of CRC through its potential to epigenetically activate CCNE1 expression, suggesting AURKB as a promising therapeutic target in CRC.

Exploring in vivo combinatorial chemo-immunotherapy: Addressing p97 suppression and immune reinvigoration in pancreatic cancer with tumor microenvironment-responsive nanoformulation.

Pancreatic ductal adenocarcinoma (PDAC) has an extremely devastating nature with poor prognosis and increasing incidence, making it a formidable challenge in the global fight against cancer-related mortality. In this innovative preclinical investigation, the VCP/p97 inhibitor CB-5083 (CB), miR-142, a PD-L1 inhibitor, and immunoadjuvant resiquimod (R848; R) were synergistically encapsulated in solid lipid nanoparticles (SLNs). These SLNs demonstrated features of peptides targeting PD-L1, EGFR, and the endoplasmic reticulum, enclosed in a pH-responsive polyglutamic (PGA)-polyethylene glycol (PEG) shell. The homogeneous size and zeta potential of the nanoparticles were stable for 28 days at 4°C. The study substantiated the concurrent modulation of key pathways by the CB, miR, and R-loaded nanoformulation, prominently affecting VCP/Bip/ATF6, PD-L1/TGF-ß/IL-4, -8, -10, and TNF-α/IFN-γ/IL-1, -12/GM-CSF/CCL4 pathways. This adaptable nanoformulation induced durable antitumor immune responses and inhibited Panc-02 tumor growth by enhancing T cell infiltration, dendritic cell maturation, and suppressing Tregs and TAMs in mice bearing Panc-02 tumors. Furthermore, tissue distribution studies, biochemical assays, and histological examinations highlighted enhanced safety with PGA and peptide-modified nanoformulations for CB, miR, and/or R in Panc-02-bearing mice. This versatile nanoformulation allows tailored adjustment of the tumor microenvironment, thereby optimizing the localized delivery of combined therapy. These compelling findings advocate the potential development of a pH-sensitive, three-in-one PGA-PEG nanoformulation that combines a VCP inhibitor, a PD-L1 inhibitor, and an immunoadjuvant for cancer treatment via combinatorial chemo-immunotherapy.

Overexpression of RBM15 modulated the effect of trophoblast cells by promoting the binding ability between YTHDF2 and the CD82 3'UTR to decrease the expression of CD82.

Background: Pre-eclampsia (PE) is a syndrome with no specific pathological mechanism and is specific to pregnancy. The combined analysis of proteomics and transcriptomics possesses many benefits for treating this disease. m6A modification plays a major role in PE; however, mechanism have not been studied clearly. This study investigated the potential mechanism underlying the role of m6A in PE. Methods: Mass spectrometry-based label-free quantitative proteomics and transcriptomics experiments were conducted on the placenta of patients with pre-eclampsia and normal pregnancies, and the two omics were followed by joint analysis. Total m6A modification in placental tissues, HTR8/SVneo cells, and JEG-3 cells was measured by dot blot. The levels of RBM15 and CD82 in tissues and cells were detected using qPCR. The protein levels of G3BP1, RBM15, MMP-2, YTHDF2, and MMP-9 were measured by western blotting. The function, migration, and invasion characteristics of HTR8/SVneo and JEG-3 cells were measured using Transwell assays. SRAMP predicted the m6A modification site in the CD82 mRNA 3'UTR, and this was confirmed using luciferase activity and YTHDF2-RIP. Results: m6A modification was promoted in the PE group, and the RBM15 abundance was increased. Overexpression of RBM15 increased m6A modification. However, overexpression of RBM15 suppressed the expression of MMP-2 and MMP-9 and also the migratory and invasive capabilities of HTR8/SVneo and JEG-3 cells. CD82 expression levels were decreased in PE, and CD82 expression was confirmed via qPCR, western blotting and immunofluorescence. Furthermore, RBM15 overexpression reduced CD82 mRNA and protein levels. Luciferase activity and YTHDF2-RIP results verified that overexpression of RBM15 promoted the binding ability between YTHDF2 and the CD82 3'UTR, thereby decreasing CD82 expression. Finally, CD82 overexpression reversed the effect of RBM15 overexpression on the expression of MMP-2 and MMP-9 and on the migratory and invasive capabilities of the cells. Conclusions: Overexpression of RBM15 hindered the migratory and invasive capabilities of trophoblasts, while concurrently enhancing m6A modification. The potential mechanism was that overexpression of RBM15 promoted the binding capability between YTHDF2 and CD82 3'UTR and decrease the expression of CD82. Thus, this study provides a theoretical basis for the treatment of PE.

Genetic regulation of human brain proteome reveals proteins implicated in psychiatric disorders.

Psychiatric disorders are highly heritable yet polygenic, potentially involving hundreds of risk genes. Genome-wide association studies have identified hundreds of genomic susceptibility loci with susceptibility to psychiatric disorders; however, the contribution of these loci to the underlying psychopathology and etiology remains elusive. Here we generated deep human brain proteomics data by quantifying 11,608 proteins across 268 subjects using 11-plex tandem mass tag coupled with two-dimensional liquid chromatography-tandem mass spectrometry. Our analysis revealed 788 cis-acting protein quantitative trait loci associated with the expression of 883 proteins at a genome-wide false discovery rate <5%. In contrast to expression at the transcript level and complex diseases that are found to be mainly influenced by noncoding variants, we found protein expression level tends to be regulated by non-synonymous variants. We also provided evidence of 76 shared regulatory signals between gene expression and protein abundance. Mediation analysis revealed that for most (88%) of the colocalized genes, the expression levels of their corresponding proteins are regulated by cis-pQTLs via gene transcription. Using summary data-based Mendelian randomization analysis, we identified 4 proteins and 19 genes that are causally associated with schizophrenia. We further integrated multiple omics data with network analysis to prioritize candidate genes for schizophrenia risk loci. Collectively, our findings underscore the potential of proteome-wide linkage analysis in gaining mechanistic insights into the pathogenesis of psychiatric disorders.

Gestational diabetes mellitus and development of intergenerational non-alcoholic fatty liver disease (NAFLD) after delivery: a systematic review and meta-analysis.

Background: It is known that gestational diabetes mellitus (GDM)-complicated pregnancies could affect maternal cardiometabolic health after delivery, resulting in hepatic dysfunction and a heightened risk of developing non-alcoholic fatty liver disease (NAFLD). Hence, this study aims to summarise existing literature on the impact of GDM on NAFLD in mothers and investigate the intergenerational impact on NAFLD in offspring. Methods: Using 4 databases (PubMed, Embase, Web of Science and Scopus) between January 1980 and December 2023, randomized controlled trials and observational studies that assessed the effect of maternal GDM on intergenerational liver outcomes were extracted and analysed using random-effects meta-analysis to investigate the effect of GDM on NAFLD in mothers and offspring. Pooled odds ratio (OR) was calculated using hazards ratio (HR), relative risk (RR), or OR reported from each study, with corresponding 95% confidence intervals (CI), and statistical heterogeneity was assessed with the Cochran Q-test and I2 statistic, with two-sided p values. The study protocol was pre-registered on PROSPERO (CRD42023392428). Findings: Twenty studies pertaining to mothers and offspring met the inclusion criteria and 12 papers were included further for meta-analysis on intergenerational NAFLD development. Compared with mothers without a history of GDM, mothers with a history of GDM had a 50% increased risk of developing NAFLD (OR 1.50; 95% CI: 1.21-1.87, over a follow-up period of 16 months-25 years. Similarly, compared with offspring born to non-GDM-complicated pregnancies, offspring born to GDM-complicated pregnancies displayed an approximately two-fold elevated risk of NAFLD development (2.14; 1.57-2.92), over a follow-up period of 1-17.8 years. Interpretation: This systematic review and meta-analysis suggests that both mothers and offspring from GDM-complicated pregnancies exhibit a greater risk to develop NAFLD. These findings underline the importance of early monitoring of liver function and prompt intervention of NAFLD in both generations from GDM-complicated pregnancies. Funding: No funding was available for this research.

Natural tea polyphenol functionalized graphene anode for simultaneous power production and degradation of methyl orange dye in microbial fuel cells.

The microbial fuel cell (MFCs) has dual functions, capable of achieving dye decolorization and synchronous power generation. Despite these advantages, the MFCs have faced challenges related to low electron transfer efficiencies and limited dye treatment capacity in wastewater applications. This work introduces an innovative approach by employing reduced graphene oxide-modified carbon cloth (TP-RGO@CC) anodes, utilizing tea polyphenols as the reducing agent. This modification significantly enhances the hydrophilicity and biocompatibility of the anodes. The MFC equipped with the TP-RGO@CC anode demonstrated a remarkable increase in the maximum power density, reaching 773.9 mW m-2, representing a 22% improvement over the plain carbon cloth electrode. The decolorization rate of methyl orange (50 mg L-1, pH 7) reached 99% within 48 h. Biodiversity analysis revealed that the TP-RGO@CC anode selectively enriched electrogens producing and organic matter-degrading bacteria, promoting a dual mechanism of dye decolorization, degradation, and simultaneous electro-production at the anode. This work highlights advanced anode materials that excel in effective pollutant removal, energy conversion, and biomass reuse.

Characteristics of zero-valent iron surface oxide films under the catalytic interface reactions by assisting ligands in nitrate-contaminated groundwater.

The surface passivation layer coating on zero-valent iron (ZVI) particles impedes the electron transfer from ZVI to nitrate. To enhance the efficiency of nitrate reduction by Fe(0), we tested the chemical process and the thickness of the iron oxide film on the surface of Fe(0) particles, utilizing Fe2+aq in aqueous solution and wheat straw as ligands. A novel principal surface catalyzing reaction was formulated as follows: [Formula: see text] . When Fe2+aq concentration increased from 0 - 200 mg·L-1, the NO3- removal rate increased from 6.95% to 82.6% respectively during 12 h and it was 48%, 72%, 79% and 94% respectively in Fe0/WS ratio of 0, 0.25, 0.5 and 1 system. Uniform surface iron oxide films formed around the Fe(0) particles within 12 h after the adding Fe2+aq or wheat straw to the Fe(0) system. The composition and thickness of these films were dependent on the quantity of added materials. X-ray diffraction (XRD) analysis revealed that surface oxide iron mainly consisted of Fe2+ or Fe3+ oxides, with Fe3O4 being predominant. The X-ray photoelectron spectroscopy (XPS) etching indicated that the addition of Fe(0)/straw at mass ratios of 1 or system with 20 mg·L-1 Fe2+aq resulted in the thinnest surface iron oxide layer. The study demonstrated that reducing the oxide layer's thickness was achieved through partial catalysis and enhanced complexation capacity. This reduction was facilitated by the introduction of Fe2+aq or wheat straw into the Fe(0) system, potentially improving proton dissociation and promoting the ligand-assisted dissolution of Fe3+ oxides.

Association of accelerated aging with the incidence risk of Cardiometabolic diseases in people with severe mental illnesses: A prospective analysis in UK Biobank.

Cardiometabolic diseases (CMDs) comorbidities among people with severe mental illnesses (SMI) are associated with a high healthcare burden and premature mortality. This study aims to evaluate whether biological aging has an interaction with SMI on incident CMDs, and to examine the association of four biological aging indicators with CMDs incidence in this population. Data were sourced from the UK Biobank, a large prospective cohort study. Four indicators were used to assess biological aging including frailty phenotype, frailty index, KDM-biological age acceleration and phenotypic age acceleration. Cox proportional hazards regression models were used to examine the associations. We observed higher prevalence of frailty and accelerated biological age with SMI than those without SMI. Further analysis found significant interaction effect of pre-frailty and SMI (PPre-frail*SMI=0.005) as well as biological age acceleration and SMI (PQ3 (>P75)*SMI=0.038). 14.7 % of the participants with SMI developed CMDs during the follow-up. Compared with non-frail participants, those with frailty (frailty phenotype: HR=1.68, 95 % CI: 1.50, 1.88, P < 0.001; frailty index: HR=2.44, 95 % CI: 2.11-2.81, P < 0.001) and biological age acceleration (KDM-biological age acceleration (Q3): HR=1.91, 95 % CI: 1.74, 2.11, P < 0.001; phenotypic age acceleration (Q3): HR=2.07, 95 % CI: 1.86, 2.30, P < 0.001) had a significantly higher risk of CMDs in the adjusted model. A series of sensitivity analyses were conducted to illustrate the robustness of the findings. These findings highlight the important implications for concerning about the high incidence of CMDs comorbidities and intervention of aging in people with SMI.

Acidification of α-granules in megakaryocytes by vacuolar-type ATPase is essential for organelle biogenesis.

BACKGROUND: Platelets coordinate blood coagulation at sites of vascular injury and play fundamental roles in a wide variety of (patho)physiological processes. Key to many platelet functions is the transport and secretion of proteins packaged within α-granules, organelles produced by platelet precursor megakaryocytes. Prominent among α-granule cargo are fibrinogen (FGN) endocytosed from plasma, and endogenously-synthesized Von Willebrand factor (VWF). These and other proteins are known to require acidic pH for stable packaging. Luminal acidity has been confirmed for mature α-granules isolated from platelets, but direct measurement of megakaryocyte granule acidity has not been reported. OBJECTIVE: To determine the luminal pH of α-granules and their precursors in megakaryocytes, and assess the requirement of vacuolar-type adenosine triphosphatase (V-ATPase) activity establish and maintain the luminal acidity and integrity of these organelles. RESULTS: Using cresyl violet staining, we show that most of the acidic granules detected in megakaryocytes appear to be α-granules/precursors. Endocytosis of FGN tagged with the pH-sensitive fluorescent dye FITC was used to load a subset of these organelles, and ratiometric fluorescence analysis established a median luminal pH of 5.2 (interquartile range 5.0 - 5.5). Inhibition of megakaryocyte V-ATPase activity led to enlargement of cargo-containing compartments detected by fluorescence microscopy and electron microscopy. CONCLUSION: These observations reveal that V-ATPase activity is required to establish and maintain a luminal acidic pH in megakaryocyte α-granules/precursors, confirming its importance for stable packaging of cargo proteins such as VWF.

Identification of circRNAs expression profiles and functional networks in parotid gland of type 2 diabetes mouse.

BACKGROUND: Circular RNAs (circRNAs) are a novel kind of non-coding RNAs proved to play crucial roles in the development of multiple diabetic complications. However, their expression and function in diabetes mellitus (DM)-impaired salivary glands are unknown. RESULTS: By using microarray technology, 663 upregulated and 999 downregulated circRNAs companied with 813 upregulated and 525 downregulated mRNAs were identified in the parotid glands (PGs) of type2 DM mice under a 2-fold change and P < 0.05 cutoff criteria. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) analysis of upregulated mRNAs showed enrichments in immune system process and peroxisome proliferator-activated receptor (PPAR) signaling pathway. Infiltration of inflammatory cells and increased inflammatory cytokines were observed in diabetic PGs. Seven differently expressed circRNAs validated by qRT-PCR were selected for coding-non-coding gene co-expression (CNC) and competing endogenous RNA (ceRNA) networks analysis. PPAR signaling pathway was primarily enriched through analysis of circRNA-mRNA networks. Moreover, the circRNA-miRNA-mRNA networks highlighted an enrichment in the regulation of actin cytoskeleton. CONCLUSION: The inflammatory response is elevated in diabetic PGs. The selected seven distinct circRNAs may attribute to the injury of diabetic PG by modulating inflammatory response through PPAR signaling pathway and actin cytoskeleton in diabetic PGs.

Trial characteristics and treatment effect estimates in randomized controlled trials of Chinese herbal medicine: A meta-epidemiological study.

BACKGROUND: Previously published meta-epidemiological studies focused on Western medicine have identified some trial characteristics that impact the treatment effect of randomized controlled trials (RCTs). Nevertheless, it remains unclear if similar associations exist in RCTs on Chinese herbal medicine (CHM). Further, Chinese medicine-related characteristics have not been explored yet. OBJECTIVE: To investigate trial characteristics related to treatment effect estimates on CHM RCTs. SEARCH STRATEGY: This meta-epidemiological study searched 5 databases for systematic reviews on CHM treatment published between January 2011 and July 2021. INCLUSION CRITERIA: An eligible systematic review should only include RCTs of CHM and conduct at least one meta-analysis. DATA EXTRACTION AND ANALYSIS: Two reviewers independently conducted data extraction on general characteristics of systematic reviews, meta-analyses and included RCTs. They also assessed the risk of bias of RCTs using the Cochrane risk of bias tool. A two-step approach was used for data analyses. The ratio of odds ratios (ROR) and difference in standardized mean differences (dSMD) with 95% confidence interval (CI) were applied to present the difference in effect estimates for binary and continuous outcomes, respectively. RESULTS: Ninety-one systematic reviews, comprising 1338 RCTs were identified. For binary outcomes, RCTs incorporated with syndrome differentiation (ROR: 1.23; 95 % CI: [1.07, 1.39]), adopting Chinese medicine formula (ROR: 1.19; 95% CI: [1.03, 1.34]), with low risk of bias on incomplete outcome data (ROR: 1.29; 95% CI: [1.06, 1.52]) and selective outcome reporting (ROR: 1.12; 95% CI: [1.01, 1.24]), as well as a trial size ≥ 100 (ROR: 1.23; 95% CI: [1.04, 1.42]) preferred to show larger effect estimates. As for continuous outcomes, RCTs with Chinese medicine diagnostic criteria (dSMD: 0.23; 95% CI: [0.06, 0.41]), judged as high/unclear risk of bias on allocation concealment (dSMD: -0.70; 95% CI: [-0.99, -0.42]), with low risk of bias on incomplete outcome data (dSMD: 0.30; 95% CI: [0.18, 0.43]), conducted at a single center (dSMD: -0.33; 95% CI: [-0.61, -0.05]), not using intention-to-treat analysis (dSMD: -0.75; 95% CI: [-1.43, -0.07]), and without funding support (dSMD: -0.22; 95% CI: [-0.41, -0.02]) tended to show larger effect estimates. CONCLUSION: This study provides empirical evidence for the development of a specific critical appraisal tool for risk of bias assessments on CHM RCTs. Please cite this article as: Wang BH, Lin YL, Gao YY, Song JL, Qin L, Li LQ, et al. Trial characteristics and treatment effect estimates in randomized controlled trials of Chinese herbal medicine: A meta-epidemiological study. J Integr Med. 2024; Epub ahead of print.

Altering the competitive environment of B cell epitopes significantly extends the duration of antibody production.

Persistent immunoglobulin G (IgG) production (PIP) provides long-term vaccine protection. While variations in the duration of protection have been observed with vaccines prepared from different pathogens, little is known about the factors that determine PIP. Here, we investigated the impact of three parameters on the duration of anti-peptide IgGs production, namely amino acid sequences, protein carriers, and immunization programs. We show that anti-peptide IgGs production can be transformed from transient IgG production (TIP) to PIP, by placing short peptides (Pi) containing linear B cell epitopes in different competitive environments using bovine serum albumin (BSA) conjugates instead of the original viral particles. When goats were immunized with the peste des petits ruminants (PPR) live-attenuated vaccine (containing Pi as the constitutive component) and BSA-Pi conjugate, anti-Pi IgGs production exhibited TIP (duration <60 days) and PIP (duration >368 days), respectively. Further, this PIP was unaffected by subsequent immunization with the PPR live-attenuated vaccine in the same goat. When goats were co-immunized with PPR live-attenuated vaccine and BSA-Pi, the induced anti-Pi IgGs production showed a slightly extended TIP (from ~60 days to ~100 days). This discovery provides new perspectives for studying the fate of plasma cells in humoral immune responses and developing peptide vaccines related to linear neutralizing epitopes from various viruses.

Paeoniflorin exerts anti-PTSD effects in adult rats by modulating hippocampus and amygdala histone acetylation modifications in response to early life stress.

Early life stress (ELS) can cause long-term changes by epigenetic factors, especially histone acetylation modification, playing a crucial role, affect normal cognition, mood, and behavior, and increase susceptibility to post-traumatic stress disorder (PTSD) in adulthood. It has been found that paeoniflorin (PF) can cross the blood-brain barrier to exert anti-PTSD effects on adult PTSD rats. However, whether PF can alleviate the harmful effects caused by ELS in adulthood has not yet been reported. Therefore, to explore the relationship between ELS and PTSD susceptibility in adulthood and its mechanism, in this study, SPS was used as a stressor of ELS, and the mathematical tool Z-normalization was employed as an evaluation criterion of behavioral resilience susceptibility. To investigate the regulatory mechanism of PF on histone acetylation in the hippocampus and amygdala of ELS rats in adulthood, using changes in HATs/HDACs as the entry point, meanwhile, the epigenetic marks (H3K9 and H4K12) in the key brain regions of ELS (hippocampus and amygdala) were evaluated, and the effects of PF on behavioral representation and PTSD susceptibility were observed. This study found that ELS lead to a series of PTSD-like behaviors in adulthood and caused imbalance of HATs/HDACs ratio in the hippocampus and amygdala, which confirms that ELS is an important risk factor for the development of PTSD in adulthood. In addition, paeoniflorin may improve ELS-induced PTSD-like behaviors and reduce the susceptibility of ELS rats to develop PTSD in adulthood by modulating the HATs/HDACs ratio in the hippocampus and amygdala.

Combined serum CTRP7 and CTRP15 levels as a novel biomarker for insulin resistance and type 2 diabetes mellitus.

Aims: This study aimed to examine the alterations in the serum CTRP7 and CTRP15 concentrations in patients newly diagnosed with type 2 diabetes mellitus (T2DM) and to assess the diagnostic potential of the log10 (CTRP7+CTRP15) for insulin resistance (IR) and T2DM. Methods: Serum CTRP7, CTRP15, and adiponectin levels were measured using an enzyme-linked immunosorbent assay (ELISA). Bioinformatics analysis was conducted to investigate CTRP7 and CTRP15-related genes and metabolic signaling pathways. Results: Log10 (CTRP7+CTRP15) levels were notably elevated in the impaired glucose tolerance (IGT) and T2DM cohorts compared with those in the normal control (NGT) cohort. Log10(CTRP7+CTRP15) exhibited positive correlations with HOMA-IR, area under the glucose curve (AUCg), HbA1c%, triglyceride (TG), visceral adiposity index (VAI), body mass index (BMI), and free fatty acid (FFA), levels but negative correlations with adiponectin. Multivariate stepwise regression analysis revealed that HOMA-IR, BMI, HbA1c and FFA levels were independent factors affecting the log10 (CTRP7+CTRP15). Logistic regression analysis revealed that log10 (CTRP7+CTRP15) was independently associated with T2DM and significantly associated with increased risk. Receiver operating characteristic (ROC) curve analysis indicated that the predictive value of log10 (CTRP7+CTRP15) for T2DM and IR was superior to that of CTRP7 or CTRP15 alone. Intervention studies demonstrated that insulin, FFAs and acute exercise contribute to the elevation of serum CTRP7 levels, while hyperglycemia inhibited CTRP7 secretion. Short-term changes in blood glucose, insulin, FFA and acute exercise had minimal effects on serum CTRP15 levels. Bioinformatics analysis revealed that CTRP7 and CTRP15 interact with multiple metabolism-related genes and are enriched in glucose and lipid metabolism-related pathways. Conclusion: Log10 (CTRP7+CTRP15) may serve as a valuable diagnostic marker for the management of metabolic-related diseases, particularly T2DM and IR.

Child Age and Risk of Medication Error: A Multisite Children's Hospital Study.

OBJECTIVE: To examine associations between patient age and medication errors among pediatric inpatients. STUDY DESIGN: Secondary analysis of datasets generated from two tertiary pediatric hospitals: (1) prescribing errors identified from chart reviews for patients on nine general wards at hospital A between April 22 to July 10, 2016, June 20 to September 20, 2017, and June 20 to September 30, 2020; prescribing errors from five wards at hospital B in the same periods; and (2) medication administration errors assessed by direct prospective observation of 5,137 administrations on nine wards at hospital A. Multilevel models examined the association between patient age and medication errors. Age was modeled using restricted cubic splines to allow for nonlinearity. RESULTS: Prescribing errors increased nonlinearly with patient age (P=0.01), showing little association from ages 0 to 3 years and then increasing with age until around 10 years, and remaining constant through the teenage years. Administration errors increased with patient age, with no association from 0 to around 8 years and then a steady rise with increasing age (P=0.03). The association differed by route: linear for oral, no association for intravenous infusions, and U-shaped for intravenous injections. CONCLUSIONS: Older age is an unrecognized risk factor for medication error on general wards in pediatric hospitals. Contributors to risk may be the clinical profiles of these older children or the general level of attention paid to medication practices for this group. Further investigation may allow the design of more targeted interventions to reduce errors.

Succession of diversity, assembly mechanisms, and activities of the microeukaryotic community throughout Scrippsiella acuminata (Dinophyceae) bloom phases.

Harmful algal bloom (HAB) is a rapidly expanding marine ecological hazard. Although numerous studies have been carried out about the ecological impact and the ecological mechanism of HAB outbreaks, few studies have comprehensively addressed the shifts of species composition, metabolic activity level, driving factors and community assembly mechanisms of microeukaryotic plankton in the course of the bloom event. To fill the gap of research, we conducted 18S ribosomal DNA and RNA sequencing during the initiation, development, sustenance and decline stages of a Scrippsiella acuminata (S. acuminata) bloom at the coastal sea of Fujian Province, China. We found that the bloom event caused a decrease in microeukaryotic plankton species diversity and increase in community homogeneity. Our results revealed that the RNA- and DNA-inferred communities were similar, but α-diversity was more dynamic in RNA- than in DNA-inferred communities. The main taxa with high projected metabolic activity (with RNA:DNA ratio as the proxy) during the bloom included dinoflagellates, Cercozoa, Chlorophyta, Protalveolata, and diatoms. The role of deterministic processes in microeukaryotic plankton community assembly increased during the bloom, but stochastic processes were always the dominant assembly mechanism throughout the bloom process. Our findings improve the understanding of temporal patterns, driving factors and assembly mechanisms underlying the microeukarytic plankton community in a dinoflagellate bloom.

Qingzhuan dark tea polysaccharides-zinc alleviates dextran sodium sulfate-induced ulcerative colitis.

BACKGROUND: Qingzhuan dark tea polysaccharides (QDTP) have been complexed with Zinc (Zn) to form the Qingzhuan dark tea polysaccharides-Zinc (QDTP-Zn) complex. The present study investigated the protective effects of QDTP-Zn on ulcerative colitis (UC) in mice. The UC mouse model was induced using dextran sodium sulfate (DSS), followed by oral administration of QDTP-Zn (0.2 and 0.4 g kg-1 day-1). RESULTS: QDTP-Zn demonstrated alleviation of UC symptoms in mice, as evidenced by a decrease in disease activity index scores. QDTP-Zn also regulated colon tissue injury by upregulating ZO-1 and occludin protein expression, at the same time as downregulating tumor necrosis factor-α and interleukin-6ß levels. Furthermore, QDTP-Zn induced significant alterations in the abundance of bacteroidetes and firmicutes and notably increased levels of short-chain fatty acids (SCFAs), particularly acetic acid, propionic acid, and butyric acid. CONCLUSION: In summary, QDTP-Zn exhibits therapeutic potential in alleviating enteritis by fortifying the colonic mucosal barrier, mitigating inflammation and modulating intestinal microbiota and SCFAs levels. Thus, QDTP-Zn holds promise as a functional food for both the prevention and treatment of UC. © 2024 Society of Chemical Industry.

Residual networks without pooling layers improve the accuracy of genomic predictions.

KEY MESSAGE: Residual neural network genomic selection is the first GS algorithm to reach 35 layers, and its prediction accuracy surpasses previous algorithms. With the decrease in DNA sequencing costs and the development of deep learning, phenotype prediction accuracy by genomic selection (GS) continues to improve. Residual networks, a widely validated deep learning technique, are introduced to deep learning for GS. Since each locus has a different weighted impact on the phenotype, strided convolutions are more suitable for GS problems than pooling layers. Through the above technological innovations, we propose a GS deep learning algorithm, residual neural network for genomic selection (ResGS). ResGS is the first neural network to reach 35 layers in GS. In 15 cases from four public data, the prediction accuracy of ResGS is higher than that of ridge-regression best linear unbiased prediction, support vector regression, random forest, gradient boosting regressor, and deep neural network genomic prediction in most cases. ResGS performs well in dealing with gene-environment interaction. Phenotypes from other environments are imported into ResGS along with genetic data. The prediction results are much better than just providing genetic data as input, which demonstrates the effectiveness of GS multi-modal learning. Standard deviation is recommended as an auxiliary GS evaluation metric, which could improve the distribution of predicted results. Deep learning for GS, such as ResGS, is becoming more accurate in phenotype prediction.

Decreased Left Ventricular Mass is Associated with Sarcopenia and its Severity in Elderly Inpatients.

Objective: Skeletal muscle mass and cardiac structure change with age. It is unclear whether the loss of skeletal muscle mass (SMM) is accompanied by a decrease in heart mass loss. The aim of this study is to investigate the relationship of left ventricular mass (LVM) with sarcopenia and its severity in elderly inpatients. Methods: Seventy-one sarcopenia subjects and 103 non-sarcopenia controls were enrolled in this study. Bioelectrical impedance analysis, handgrip strength, and 5-time chair stand test were used to evaluate SMM, muscle strength, and physical performance, respectively. Myocardial structure and function were assessed by echocardiography. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia criteria 2019. Results: Sarcopenic patients had smaller left ventricular sizes and LVM than non-sarcopenic controls. Severe sarcopenic patients had smaller left ventricular sizes and LVM than non-severe sarcopenic patients. In univariate regression analysis, body mass index (BMI), cardiac size, and LVM were positively correlated with SMM or SMI. In multivariate regression analysis, BMI and LVM were independently correlated with SMM and SMI. The combined measurement of LVM and BMI predicts sarcopenia with 66.0% sensitivity and 88.7% specificity (AUC: 0.825; 95% CI: (0.761, 0.889); p < 0.001). Conclusion: In hospitalized elderly patients, decreased left ventricular mass is associated with sarcopenia and its severity, and the combined measurement of LVM and BMI has a predictive value for sarcopenia.