MiR-214_L-1R+4 regulate gossypol-induced immune response through MyD88-dependent signaling pathway in Cyprinus carpio.

MicroRNAs (miRNAs) have been demonstrated to act as crucial modulators with considerable impacts on the immune system. Cottonseed meal is often used as a protein source in aqua feed, cottonseed meal contains gossypol, which is harmful to animals. However, there is a lack of research on the role of miRNAs in fish exposed to gossypol stress. To determine the regulatory effects of miRNAs on gossypol toxicity, Cyprinus carpio were given to oral administration of 20 mg/kg gossypol for 7 days, and the gossypol concentration in the tissues was tested. Then, we detected spleen index, histology, immune enzyme activities of fish induced by gossypol. The results of miRNA sequencing revealed 8 differentially expressed miRNAs in gossypol group, and miR-214_L-1R+4 was found involved in immune response induced by gossypol. The potential targets of miR-214_L-1R+4 were predicted, and found a putative miR-214_L-1R+4 binding site in the 3'UTR of MyD88a. Furthermore, dual-luciferase reporter assays displayed miR-214_L-1R+4 decreased MyD88a expression through binding to the 3'UTR of MyD88a. Moreover, miR-214_L-1R+4 antagomir were intraperitoneally administered to C. carpio, down-regulated miR-214_L-1R+4 could increase MyD88a expression, as well as inflammatory cytokines and anti-inflammatory cytokines expression. These findings revealed that miR-214_L-1R+4 via the MyD88-dependent signaling pathway modulate the immune response to gossypol in C. carpio spleen.

Multimodal Model to Predict Tissue-to-Blood Partition Coefficients of Chemicals in Mammals and Fish.

Tissue-to-blood partition coefficients (Ptb) are key parameters for assessing toxicokinetics of xenobiotics in organisms, yet their experimental data were lacking. Experimental methods for measuring Ptb values are inefficient, underscoring the urgent need for prediction models. However, most existing models failed to fully exploit Ptb data from diverse sources, and their applicability domain (AD) was limited. The current study developed a multimodal model capable of processing and integrating textual (categorical features) and numerical information (molecular descriptors/fingerprints) to simultaneously predict Ptb values across various species, tissues, blood matrices, and measurement methods. Artificial neural network algorithms with embedding layers were used for the multimodal modeling. The corresponding unimodal models were developed for comparison. Results showed that the multimodal model outperformed unimodal models. To enhance the reliability of the model, a method considering categorical features, weighted molecular similarity density, and weighted inconsistency in molecular activities of structure-activity landscapes was used to characterize the AD. The model constrained by the AD exhibited better prediction accuracy for the validation set, with the determination coefficient, root mean-square error, and mean absolute error being 0.843, 0.276, and 0.213 log units, respectively. The multimodal model coupled with the AD characterization can serve as an efficient tool for internal exposure assessment of chemicals.

Multi-task machine learning models for simultaneous prediction of tissue-to-blood partition coefficients of chemicals in mammals.

Tissue-to-blood partition coefficients (Ptb) are crucial for assessing the distribution of chemicals in organisms. Given the lack of experimental data and laborious nature of experimental methods, there is an urgent need to develop efficient predictive models. With the help of machine learning algorithms, i,e., random forest (RF), and artificial neural network (ANN), this study developed multi-task (MT) models that can simultaneously predict Ptb values for various mammalian tissues, including liver, muscle, brain, lung, and adipose. Single-task (ST) models using partial least squares regression, RF, and ANN algorithms for each endpoint were established for comparison. Overall, the performances of MT models were superior to those of ST models. The MT model using ANN algorithms showed the highest prediction accuracy with determination coefficients ranging from 0.704 to 0.886, root mean square errors between 0.223 and 0.410, and mean absolute errors ranging from 0.178 to 0.285 log units. Results showed that lipophilicity and polarizability of molecules significantly influence their partition behavior in organisms. Applicability domains (ADs) of the models were characterized by weighted molecular similarity density, and weighted inconsistency in molecular activities of structure-activity landscapes. When constrained by ADs, the models displayed enhanced predictive accuracy, making them valuable tools for the risk assessment and management of chemicals.

Comprehensive fundamental somatic variant calling and quality management strategies for human cancer genomes.

Next-generation sequencing (NGS) technology has revolutionised human cancer research, particularly via detection of genomic variants with its ultra-high-throughput sequencing and increasing affordability. However, the inundation of rich cancer genomics data has resulted in significant challenges in its exploration and translation into biological insights. One of the difficulties in cancer genome sequencing is software selection. Currently, multiple tools are widely used to process NGS data in four stages: raw sequence data pre-processing and quality control (QC), sequence alignment, variant calling and annotation and visualisation. However, the differences between these NGS tools, including their installation, merits, drawbacks and application, have not been fully appreciated. Therefore, a systematic review of the functionality and performance of NGS tools is required to provide cancer researchers with guidance on software and strategy selection. Another challenge is the multidimensional QC of sequencing data because QC can not only report varied sequence data characteristics but also reveal deviations in diverse features and is essential for a meaningful and successful study. However, monitoring of QC metrics in specific steps including alignment and variant calling is neglected in certain pipelines such as the 'Best Practices Workflows' in GATK. In this review, we investigated the most widely used software for the fundamental analysis and QC of cancer genome sequencing data and provided instructions for selecting the most appropriate software and pipelines to ensure precise and efficient conclusions. We further discussed the prospects and new research directions for cancer genomics.

MSIsensor-ct: microsatellite instability detection using cfDNA sequencing data.

MOTIVATION: Microsatellite instability (MSI) is a promising biomarker for cancer prognosis and chemosensitivity. Techniques are rapidly evolving for the detection of MSI from tumor-normal paired or tumor-only sequencing data. However, tumor tissues are often insufficient, unavailable, or otherwise difficult to procure. Increasing clinical evidence indicates the enormous potential of plasma circulating cell-free DNA (cfNDA) technology as a noninvasive MSI detection approach. RESULTS: We developed MSIsensor-ct, a bioinformatics tool based on a machine learning protocol, dedicated to detecting MSI status using cfDNA sequencing data with a potential stable MSIscore threshold of 20%. Evaluation of MSIsensor-ct on independent testing datasets with various levels of circulating tumor DNA (ctDNA) and sequencing depth showed 100% accuracy within the limit of detection (LOD) of 0.05% ctDNA content. MSIsensor-ct requires only BAM files as input, rendering it user-friendly and readily integrated into next generation sequencing (NGS) analysis pipelines. AVAILABILITY: MSIsensor-ct is freely available at https://github.com/niu-lab/MSIsensor-ct. SUPPLEMENTARY INFORMATION: Supplementary data are available at Briefings in Bioinformatics online.

Comprehensive review and evaluation of computational methods for identifying FLT3-internal tandem duplication in acute myeloid leukaemia.

Internal tandem duplication (ITD) of FMS-like tyrosine kinase 3 (FLT3-ITD) constitutes an independent indicator of poor prognosis in acute myeloid leukaemia (AML). AML with FLT3-ITD usually presents with poor treatment outcomes, high recurrence rate and short overall survival. Currently, polymerase chain reaction and capillary electrophoresis are widely adopted for the clinical detection of FLT3-ITD, whereas the length and mutation frequency of ITD are evaluated using fragment analysis. With the development of sequencing technology and the high incidence of FLT3-ITD mutations, a multitude of bioinformatics tools and pipelines have been developed to detect FLT3-ITD using next-generation sequencing data. However, systematic comparison and evaluation of the methods or software have not been performed. In this study, we provided a comprehensive review of the principles, functionality and limitations of the existing methods for detecting FLT3-ITD. We further compared the qualitative and quantitative detection capabilities of six representative tools using simulated and biological data. Our results will provide practical guidance for researchers and clinicians to select the appropriate FLT3-ITD detection tools and highlight the direction of future developments in this field. Availability: A Docker image with several programs pre-installed is available at https://github.com/niu-lab/docker-flt3-itd to facilitate the application of FLT3-ITD detection tools.

Homocysteine induces ferroptosis in endothelial cells through the systemXc-/GPX4 signaling pathway.

OBJECTIVES: To investigate whether ferroptosis is involved in HCY-induced endothelial injury and the possible mechanism of HCY-induced ferroptosis. METHODS: EA. hy926 cells were cultured in vitro. Cells were intervened using HCY and Fer-1. The cells were divided into Control groups, HCY (4 mM), HCY (8 mM), HCY + Fer-1 (4 mM HCY + 0.5/2.5/5 µM Fer-1). CCK-8 assay was used to detect cell viability; Flow Cytometry was used to detect cellular Lip-ROS, TBA and Microplate assay was used to detect MDA&GSH, Western blot was used to detect the expression of ferroptosis-related proteins GPX4 and SLC7A11. RESULTS: HCY can inhibited the proliferation of EA. hy926 cells in a time- and concentration-dependent manner; Fer-1 inhibits HCY-induced ferroptosis in EA.hy926 cells in a concentration-dependent manner; Compared with the control group, the cell viability and GSH content in the HCY group was significantly decreased (p < 0.05), and the Lip-ROS and MDA were significantly increased (p < 0.05); After co-culture of HCY and Fer-1, compared with the HCY (4 mM) group, the cell viability and GSH content in the co-culture group were significantly increased (p < 0.05), and the Lip-ROS and MDA were significantly decreased (p < 0.05) in a concentration-dependent manner; Western blotting results showed that the protein expression levels of ferroptosis-related proteins GPX4 and SLC7A11 in each experimental were significantly decreased after HCY treatment (p < 0.05), and Fer-1 could significantly reverse this effect. CONCLUSIONS: (1) HCY can induce ferroptosis in vascular endothelial cells. (2) HCY may induce vascular endothelial cell ferroptosis through the system Xc-GSH-GPX4 signaling pathway.

Steroid hormone-inducible biosensor based on EGFP-tagged and environmental application.

Steroid hormones as a class of emerging organic pollutant and high concern, due to their potential risks for human and environmental. Accurate analytical methods of steroid hormones are necessary in quantifying and monitoring. Biosensor is a promising technique. In this study, though part of 3α-HSD DNA to construct a regulatory plasmid and with the EGFP reporter gene to generate a reporter plasmid. Separately transformed into Escherichia coli strain BL21 and extracted the cell lysates as novel biosensor reagents. Analyzed the total amounts of steroid hormones in water, sediment, and soil samples using biosensor reagents, and compared these results with those obtained by HPLC. In summary, detection method using an EGFP reporter that can detect trace amounts of steroid hormones to reached fg/L. The optimal reaction time range and temperature were 30 min and 30 °C, respectively, while the most suitable organic solvent for the steroid hormone was 100% ethanol, up to 96-well plate format. This method is very suitable for high-throughput detection of environmental steroid hormone pollutants.

A negative association between low-density lipoprotein cholesterol level and infection risk in elderly stage 5 chronic kidney disease patients.

BACKGROUND: To explore the relationship between low-density lipoprotein cholesterol (LDL-C) level and infection risk in elderly stage 5 kidney disease (CKD) patients. METHODS: This study retrospectively analyzed all 378 patients with grade 5 CKD over 60 years old treated in the Nephrology Department of our hospital from February 2014 to July 2019, including 286 cases with infection and 92 cases without. According to LDL-C levels, the patients were divided into three groups (Tertile 1-Tertile 3). Basic patient data and laboratory test results were collected for all three groups for analysis. RESULTS: The incidence of infection showed a gradually decreasing trend in the three groups (from 80.2, 78.6 to 68.3%), along with increasing LDL-C levels from Tertile 1 to Tertile 3, although the differences were not statistically significant (p = 0.075). After fully adjusting for confounding factors, the risk of infection was significantly reduced (OR = 0.646, 95% CI 0.420-0.993, p = 0.046) with increasing LDL-C levels. For the LDL-C levels of the three groups, the rising trend of LDL-C was significantly associated with the reduction in infection risk (OR = 0.545, 95% CI 0.317-0.937, p = 0.028). Curve fitting revealed that LDL-C levels were linearly negatively associated with the risk of infection, and the relationship between the two was not affected by the other factors (p for interaction: 0.567-1.000). CONCLUSIONS: LDL-C level is linearly negatively associated with the risk of infection in elderly patients with stage 5 CKD.

Association between squamous cell carcinoma antigen level and EGFR mutation status in Chinese lung adenocarcinoma patients.

BACKGROUND: To investigate the association between squamous cell carcinoma antigen (SCCAg) level and epidermal growth factor receptor (EGFR) mutation status in Chinese lung adenocarcinoma patients. METHODS: We retrospectively analyzed 293 patients with lung adenocarcinoma, divided into EGFR mutant group (n = 178) and EGFR wild-type group (n = 115). The general data and laboratory parameters of the two groups were compared. We used univariable and multivariable logistic regression to analyze the association between SCCAg level and EGFR mutation. Generalized additive model was used for curve fitting, and a hierarchical binary logistic regression model was used for interaction analysis. RESULTS: Squamous cell carcinoma antigen level in the EGFR wild-type group was significantly higher than that in the mutant group (p < 0.001). After adjusting for confounding factors, we found that elevated SCCAg was associated with a lower probability of EGFR mutation, with an OR of 0.717 (95% CI: 0.543-0.947, p = 0.019). For the tripartite SCCAg groups, the increasing trend of SCCAg was significantly associated with the decreasing probability of EGFR mutation (p for trend = 0.015), especially for Tertile 3 versus Tertile 1 (OR = 0.505; 95% CI: 0.258-0.986; p = 0.045). Curve fitting showed that there was an approximate linear negative relationship between continuous SCCAg and EGFR mutation probability (p = 0.020), which was first flattened and then decreased (p < 0.001). The association between the two was consistent among different subgroups, suggesting no interaction (all p > 0.05). CONCLUSION: There is a negative association between SCCAg level and EGFR mutation probability in Chinese lung adenocarcinoma patients.

Increased Hippocampal Glucocorticoid Receptor Expression and Reduced Anxiety-Like Behavior Following Tuina in a Rat Model With Allergic Airway Inflammation.

OBJECTIVE: This study aimed to explore the influence mechanism of Tuina on anxiety-like behavior in immature rats with allergic airway inflammation (AAI). METHODS: A total of 27 Sprague-Dawley male rats (aged ∼5 weeks) were divided randomly into control, AAI, and AAI with Tuina groups (9 rats per group). The anxiety-like behavior was assessed by an open field test and elevated plus-maze test. Allergic airway inflammation was assessed based on the pathological score of the lung, plasma ovalbumin-specific immunoglobulin E, interleukin 4, interleukin 5, and tumor necrosis factor-alpha levels. Glucocorticoid receptor (GR) messenger RNA and protein expression in the hippocampus and lung were detected by polymerase chain reaction and immunohistochemistry, respectively. Meanwhile, corticotropin-releasing hormone (CRH) messenger RNA in the hypothalamus, the plasma levels of adrenocorticotropic hormone and corticosterone were also determined respectively by polymerase chain reaction and enzyme-linked immunosorbent assay for hypothalamic-pituitary-adrenal axis (HPA) function. RESULTS: The AAI group had obvious anxiety-like behavior and hyperactive HPA axis, along with decreased GR expression in the hippocampus and lung. Following Tuina, AAI and the anxiety-like behavior were efficiently reduced, and the hyperactivity of HPA axis was efficiently inhibited, along with enhanced GR expression in the hippocampus and lung. CONCLUSION: Glucocorticoid receptor expression in the hippocampus and lung was enhanced, and anxiety-like behavior was reduced following Tuina in rats with AAI.

Integrative proteomics and bioinformatic prediction enable a high-confidence apicoplast proteome in malaria parasites.

Malaria parasites (Plasmodium spp.) and related apicomplexan pathogens contain a nonphotosynthetic plastid called the apicoplast. Derived from an unusual secondary eukaryote-eukaryote endosymbiosis, the apicoplast is a fascinating organelle whose function and biogenesis rely on a complex amalgamation of bacterial and algal pathways. Because these pathways are distinct from the human host, the apicoplast is an excellent source of novel antimalarial targets. Despite its biomedical importance and evolutionary significance, the absence of a reliable apicoplast proteome has limited most studies to the handful of pathways identified by homology to bacteria or primary chloroplasts, precluding our ability to study the most novel apicoplast pathways. Here, we combine proximity biotinylation-based proteomics (BioID) and a new machine learning algorithm to generate a high-confidence apicoplast proteome consisting of 346 proteins. Critically, the high accuracy of this proteome significantly outperforms previous prediction-based methods and extends beyond other BioID studies of unique parasite compartments. Half of identified proteins have unknown function, and 77% are predicted to be important for normal blood-stage growth. We validate the apicoplast localization of a subset of novel proteins and show that an ATP-binding cassette protein ABCF1 is essential for blood-stage survival and plays a previously unknown role in apicoplast biogenesis. These findings indicate critical organellar functions for newly discovered apicoplast proteins. The apicoplast proteome will be an important resource for elucidating unique pathways derived from secondary endosymbiosis and prioritizing antimalarial drug targets.

Tissue-Specific Accumulation, Biotransformation, and Physiologically Based Toxicokinetic Modeling of Benzotriazole Ultraviolet Stabilizers in Zebrafish (Danio rerio).

Benzotriazole ultraviolet stabilizers (BUVSs) are high-production-volume chemicals with ubiquitous occurrence in the aquatic environment. However, little is known about their bioconcentration and biotransformation, and physiologically based toxicokinetic (PBTK) models for BUVSs are lacking. This study selected six BUVSs for which experiments were performed with zebrafish (Danio rerio) exposed to two different levels (0.5 and 10 µg·L-1). Higher kinetic bioconcentration factors (BCFs) were observed at the lower exposure level with environmental relevance, with BCF of 3.33 × 103 L·kg-1 for 2-(2-hydroxy-3,5-di-tert-butylphenyl)-5-chlorobenzotriazole (UV-327). This phenomenon was interpreted by a nonlinear adsorption mechanism, where binding with specific protein sites contributes to bioconcentration. Muscle exhibited the lowest accumulation, in which depuration half-life of UV-327 was 19.5 d. In kidney, muscle, ovary, gill, and skin, logBCF increased with increase in log KOW of the BUVSs until log KOW was ca. 6.5, above which logBCF decreased. However, the trend was not observed in the liver and intestine. Six biotransformation products were identified and mainly accumulated in the liver and intestine. Considering the nonlinear adsorption mechanism in the PBTK model, the prediction accuracy of the model was improved, highlighting the binding of xenobiotics with specific protein sites in assessing the bioconcentration of chemicals for their risk assessment.

Whole-Process Digitalization-Assisted Immediate Implant Placement and Immediate Restoration in the Aesthetic Zone: A Prospective Study.

BACKGROUND This study explored the clinical effects of whole-process digitalization (WD)-assisted immediate implant placement (IIP) and immediate restoration (IR) in the aesthetic zone and clarified the clinical procedures. MATERIAL AND METHODS Patients who received maxillary aesthetic region IIP and IR treatment were randomly distributed into WD-assisted and conventional groups. Postoperative assessment included implant accuracy, marginal bone loss, aesthetic evaluation, and patient satisfaction evaluation. The aesthetic evaluation included visual analog score (VAS), pink aesthetic score (PES), and white aesthetic score (WES). Numerical data, measurement data, and grade data were analyzed by χ² test, t test, and Mann-Whitney U test. RESULTS The WD-assisted group exhibited decreased implant accuracy, including coronal deviation, apical deviation, angular deviation, and depth deviation, compared with the conventional group (P<0.05). The marginal bone loss in both the mesiodistal direction and the buccolingual direction were significantly lower in the WD-assisted group than in the conventional group (P<0.05). The VAS, PES, and WES were all significantly higher in the WD-assisted group than in the conventional group at 3, 6, and 12 months after surgery (P<0.05). Patients in the WD-assisted group also reported a higher satisfaction level than those in the conventional group (P<0.05). CONCLUSIONS WD-assisted IIP and IR treatment in the aesthetic zone increased implant accuracy, decreased marginal bone loss, improved aesthetic effect, and increased patient satisfaction compared with conventional treatment. Therefore, WD-assisted IIP and IR treatment constitutes a promising approach in clinical oral implantology.

Validation of the Chinese Version of the Relevant Outcome Scale for Alzheimer's Disease (CROSA).

OBJECTIVES: To examine the psychometric properties of the Chinese version of the Relevant Outcome Scale for Alzheimer's disease (CROSA) among persons with AD (PWAD) and their caregivers in China. DESIGN: A single-arm, open-label, multi-center study. SETTING: Two tertiary general hospitals in Shanghai. PARTICIPANTS: A total of 336 PWAD and their family caregivers. INTERVENTION: The PWAD completed a 12-week treatment with memantine after a baseline assessment. MEASUREMENTS: The CROSA and the Chinese versions of the Mini-Mental State Examination, the Alzheimer's Disease Assessment Scale-Cognitive Subscale, the Disability Activity of Dementia, the Neuropsychiatric Inventory Questionnaire, the Zarit Caregiver Burden Interview and the Self-Efficacy Questionnaire for Chinese Family Caregivers. RESULTS: The Cronbach's alpha for the total scale was 0.900, and the intraclass correlation coefficient and Pearson's correlation coefficient were 0.910 (P < 0.001) and 0.836 (P < 0.001), respectively. Confirmatory factor analysis revealed the two-factor model to be consistent with the original version. For the known-group validity, the total score of the CROSA classified the PWAD into three stages and three MMSE score groups. Moderate to large correlations with the validated scales confirmed the criteria validity of the CROSA, and the convergent validity was confirmed via testing a hypothesized caregiving model; however, only minimal responsiveness was found among the deterioration group after 12 weeks of treatment with memantine. CONCLUSIONS: The reliability and validity of the CROSA was good or acceptable for use in daily clinical settings. Further studies are needed to examine the psychometric properties of the scale.

The development of a behaviour questionnaire for stoma self-management for persons with bladder cancer and an ileal conduit.

AIMS: To develop and preliminarily test the reliability and validity of a behaviour questionnaire for stoma self-management for patients with bladder cancer after radical cystectomy and ileal conduit. DESIGN: A psychometric instrument validation study conducted in two phases. METHODS: The initial version of behaviour questionnaire was developed based on guidelines for people living with a stoma. Five experts validated the content of the preliminary 29-item questionnaire. A cross-sectional survey was then conducted in Beijing for preliminary reliability and validity tests between 4 December 2017-28 April 2018. A total of 151 participants in the survey, 147 of whom completed the study and 16 completed a 2-week test-retest reliability test. RESULTS: The content validity indices were satisfied. A principal component analysis with direct oblimin rotation was performed. Sixteen items were retained, and three factors were identified, namely, pouching system change, emotional management, and role management. The 16-item questionnaire showed acceptable internal consistency and test-retest reliability. The mediational effect of self-management behaviour on the relationship between self-efficacy and stoma quality of life was confirmed via convergent validity testing. CONCLUSION: The behaviour questionnaire for stoma self-management appears to have adequate initial reliability and validity. More observational and interventional studies need to be conducted for further evaluation of its psychometric properties. IMPACT: This study developed a reliable instrument to measure self-management behaviours for persons living with a stoma after radical cystectomy and ileal conduit. The questionnaire has practical value for both healthcare providers and researchers working in this field. The 16-item questionnaire can be administered quickly in clinical practice. Based on the questionnaire and the elicited mediational model, psycho-education programs tailored to improve self-management should be designed, implemented, and re-inspected regarding their effectiveness for the target population in China.

LncRNA KCNQ1OT1 ameliorates the liver injury induced by acetaminophen through the regulation of miR-122-5p/CES2 axis.

Long noncoding RNAs (lncRNAs) have been shown to be implicated in acetaminophen (APAP)-induced liver injury (AILI). We applied this study to investigate the role and functional mechanism of KCNQ1 overlapping transcript 1 (KCNQ1OT1) in AILI. The AILI model was established by APAP treatment in mice. The liver injury was preliminarily evaluated by ALT and AST activities via the detection kits. The quantitative real-time polymerase chain reaction (qRT-PCR) was exploited for detecting the expression of KCNQ1OT1, microRNA-122-5p (miR-122-5p), and carboxylesterase 2 (CES2). Protein levels were analyzed via Western blot. 3-(4, 5-dimethylthiazol-2-y1)-2, 5-diphenyl tetrazolium bromide (MTT) assay, and flow cytometry were separately applied to determine cell proliferation and apoptosis rate. Inflammation was assessed by enzyme-linked immunosorbent assay (ELISA). Dual-luciferase reporter assay was implemented to testify the intergenic combination. The function of KCNQ1OT1 in vivo was explored through KCNQ1OT1 knockdown in mice. APAP triggered the downregulation of KCNQ1OT1 and CES2 in mice serums. KCNQ1OT1 upregulation could relieve the AILI in HepaRG cells, which were abrogated by CES2 downregulation. KCNQ1OT1 served as a sponge of miR-122-5p and miR-122-5p directly targeted CES2. KCNQ1OT1 overexpression abated the AILI through the miR-122-5p/CES2 axis in HepaRG cells in vitro and mice in vivo. The collective results clarified that KCNQ1OT1 weakened the AILI in vitro and in vivo by the miR-122-5p/CES2 axis, providing an explicit molecular mechanism and selectable therapeutic strategy of AILI.

Balancing interactions in proline-based receptors for chiral recognition of l-/d-DOPA.

Proline based receptors (1-14) attached with phenylboronic acid and benzaldehyde binding groups at the N-/C- or C-/N-termini of the proline residue were created for chiral recognition of l-/d-DOPA, in an attempt to examine if balancing the two binding events would influence the recognition. By changing the positions of boronic acid and aldehyde groups substituted on the phenyl rings (1-4, 5-8) and the site at which phenylboronic acid and benzaldehyde moieties attached respectively to the N- and C-termini or C- and N-termini of the proline residue (1-4vs.5-8), and by introducing an electron-withdrawing fluorine atom in the phenyl ring of the weaker binder the benzaldehyde moiety (11vs.1, 14vs.5), we were able to show that a better balance of the two binding events does improve the chiral recognition. This finding can only be made with the current version of receptors that were equipped with two different binding groups. Together with the finding that the chiral recognition performance in mixed organic-aqueous solutions is tunable by varying the solvent composition, we have now arrived at a protocol for designing proline based receptors for extended applications in chiral recognition.

Development of a self-management support program for caregivers of relatives with dementia in Shanghai.

The purposes of this study were to develop a caregiver-education booklet and to elicit intervention strategies for a self-management support program for caregivers of relatives with dementia in Shanghai. Two focus groups with 32 eligible caregivers were conducted to clarify the knowledge and information about the scope and main points of, as well as the barriers to and support for caregiver self-management. Content analysis revealed that the main challenges caregivers faced were a lack of reliable and accessible information about dementia care, frustrations related to communication with the care recipient, disturbances in daily routines, and unfamiliarity with and/or difficulty in balancing the caregiver's own health needs. Access to individualized and reliable instruction and/or group support were the major types of support the participants expected for their self-management. Based on the findings and relevant literature, an illustrated caregiver-education booklet was developed and the intervention strategies were also discussed for the program.

Proline-Based Boronic Acid Receptors for Chiral Recognition of Glucose.

Chiral recognition remains a major challenge in the area of molecular receptor design. With this research, we set out to explore the use of proline-based receptors for chiral recognition. Importantly, the proline structure allows for the introduction of at least two different binding groups due to the availability of both an amine and carboxylic acid group. Here we report a proof-of-concept exploration into the chiral recognition of d/l-glucose as a model chiral species, which prefers to bind to at least two boronic acid groups. We evaluated several proline-based receptors incorporating two phenylboronic acid groups, respectively, at the N- and C-termini of the amino acid residue, via amide bonds. We confirmed that the receptors exhibited chiral recognition using CD, 1H NMR, and 19F NMR spectroscopy. Given the derivation diversity available, our strategy to use proline-based receptors for chiral recognition holds significant promise for extension to other chiral systems.