The Effects of Health Education and the Sunrise Model of Nursing Care on Blood Pressure Control and Psychological Status in Elderly Patients with Hypertension.

Objective: Our aim was to investigate the effect of health education and a positive attitude nursing model on blood pressure (BP) control and psychological status in elderly patients with hypertension (HTN). Methods: A total of 80 elderly patients with HTN in the Affiliated Hangzhou First People's Hospital in China were selected as the study participants. They were randomly divided into a control group and an observation group, with 40 patients in each group. The control group received the routine nursing intervention, while the observation group received health education and the positive attitude nursing intervention based on the nursing care in the control group. The BP control effect, changes in systolic and diastolic BP, psychological status and nursing satisfaction were compared in the 2 groups. Results: The BP control rate in the control group was 77.5% and was 95.0% in the observation group, which was significantly better (P < .05). Before the intervention, there was no significant difference in average systolic and diastolic BP between the 2 groups (P > .05); after the intervention, average systolic and diastolic BP in the observation group were significantly lower than in the control group (P < .05). Before the intervention, there was no significant difference in Self-rating Anxiety Scale (SAS) and Self-rating Anxiety Scale (SDS) scores between the 2 groups (P > .05). After the intervention, the SAS and SDS scores in the observation group were significantly better than those in the control group (P < .05). The nursing satisfaction in the control group was 75.0% and was 95.0% in the observation group, which was significantly higher (P < .05). Conclusion: Compared with routine nursing intervention, the health education and positive attitude nursing intervention can further improve BP control, psychological status and satisfaction and recognition level of elderly patients with HTN; it can be an important clinical nursing intervention.

Population Pharmacodynamic Models of Risperidone on PANSS Total Scores and Prolactin Levels in Schizophrenia.

Currently, research predominantly focuses on evaluating clinical effects at specific time points while neglecting underlying patterns within the treatment process. This study aims to analyze the dynamic alterations in PANSS total scores and prolactin levels in patients with schizophrenia treated with risperidone, along with the influencing covariates. Using data from an 8-week randomized, double-blind, multicenter clinical trial, a population pharmacodynamic model was established for the PANSS total scores of and prolactin levels in patients treated with risperidone. The base model employed was the Emax model. Covariate selection was conducted using a stepwise forward inclusion and backward elimination approach. A total of 144 patients were included in this analysis, with 807 PANSS total scores and 531 prolactin concentration values. The PANSS total scores of the patients treated with risperidone decreased over time, fitting a proportionally parameterized sigmoid Emax model with covariates including baseline score, course of the disease, gender, plasma calcium ions, and lactate dehydrogenase levels. The increase in prolactin levels conformed to the ordinary Emax model, with covariates encompassing course of the disease, gender, weight, red blood cell count, and triglyceride levels. The impacts of the baseline scores and the course of the disease on the reduction of the PANSS scores, as well as the influence of gender on the elevation of prolactin levels, each exceeded 20%. This study provides valuable quantitative data regarding PANSS total scores and prolactin levels among patients undergoing risperidone treatment across various physiological conditions.

Integrated multi-omics analysis reveals gut microbiota dysbiosis and systemic disturbance in major depressive disorder.

Major depressive disorder (MDD) involves systemic changes in peripheral blood and gut microbiota, but the current understanding is incomplete. Herein, we conducted a multi-omics analysis of fecal and blood samples obtained from an observational cohort including MDD patients (n = 99) and healthy control (HC, n = 50). 16S rRNA sequencing of gut microbiota showed structural alterations in MDD, as characterized by increased Enterococcus. Metagenomics sequencing of gut microbiota showed substantial functional alterations including upregulation in the superpathway of the glyoxylate cycle and fatty acid degradation and downregulation in various metabolic pathways in MDD. Plasma metabolomics revealed decreased amino acids and bile acids, together with increased sphingolipids and cholesterol esters in MDD. Notably, metabolites involved in arginine and proline metabolism were decreased while sphingolipid metabolic pathway were increased. Mass cytometry analysis of blood immune cell subtypes showed rises in proinflammatory immune subsets and declines in anti-inflammatory immune subsets in MDD. Furthermore, our findings revealed disease severity-related factors of MDD. Interestingly, we classified MDD into two immune subtypes that were highly correlated with disease relapse. Moreover, we established discriminative signatures that differentiate MDD from HC. These findings contribute to a comprehensive understanding of the MDD pathogenesis and provide valuable resources for the discovery of biomarkers.

Research progress and perspective of metallic implant biomaterials for craniomaxillofacial surgeries.

Craniomaxillofacial bone serves a variety of functions. However, the increasing number of cases of craniomaxillofacial bone injury and the use of selective rare implants make the treatment difficult, and the cure rate is low. If such a bone injury is not properly treated, it can lead to a slew of complications that can seriously disrupt a patient's daily life. For example, premature closure of cranial sutures or skull fractures can lead to increased intracranial pressure, which can lead to headaches, vomiting, and even brain hernia. At present, implant placement is one of the most common approaches to repair craniomaxillofacial bone injury or abnormal closure, especially with biomedical metallic implants. This review analyzes the research progress in the design and development of degradable and non-degradable metallic implants in craniomaxillofacial surgery. The mechanical properties, corrosion behaviours, as well as in vitro and in vivo performances of these materials are summarized. The challenges and future research directions of metallic biomaterials used in craniomaxillofacial surgery are also identified.

Safety, tolerability, and pharmacokinetics of JX11502MA in Chinese healthy subjects: a first-in-human, randomized, double-blind, placebo-controlled study following single-dose administration.

BACKGROUND: JX11502MA is a potent partial agonist of dopamine D2 and D3 receptors, with a preferential binding profile for D3 receptors in vitro, potentially for treating schizophrenia. METHODS: A first-in-human, randomized, double-blind, placebo-controlled, single ascending dose clinical trial was designed. The subjects were randomly assigned to receive JX11502MA and placebo capsules with seven ascending dose groups: 0.25 mg, 0.5 mg, 1 mg, 2 mg, 3 mg, 6 mg, and 8 mg. The PK profiles of JX11502MA and its metabolites were evaluated, along with a safety and tolerability assessment. RESULTS: Considering the safety of participants, the dose escalation was halted at 3 mg. Following single-dose administration, JX11502MA exhibited rapid absorption with a median Tmax ranging from 1 to 1.75 h. The terminal half-life of JX11502MA ranged from 73.62 to 276.85 h. The most common treatment-emergent adverse events (TEAEs) for subjects receiving JX11502MA were somnolence (56.3%), dizziness (18.8%), nausea (21.9%), vomiting (18.8%), and hiccups (18.8%). CONCLUSIONS: JX11502MA was generally well tolerated at a single dose of 0.25 to 3 mg. The PK profiles and safety characteristics in this study indicated that JX11502MA has the potential to be a favorable treatment option for patients with schizophrenia. TRIAL REGISTRATION: https://clinicaltrials.gov (identifier: NCT05233657).

Does decreased autophagy and dysregulation of LC3A in astrocytes play a role in major depressive disorder?

Astrocytic dysfunction contributes to the molecular pathogenesis of major depressive disorder (MDD). However, the astrocytic subtype that mainly contributes to MDD etiology and whether dysregulated autophagy in astrocytes is associated with MDD remain unknown. Using a single-nucleus RNA sequencing (snRNA-seq) atlas, three astrocyte subtypes were identified in MDD, while C2 State-1Q astrocytes showed aberrant changes in both cell proportion and most differentially expressed genes compared with other subtypes. Moreover, autophagy pathways were commonly inhibited in astrocytes in the prefrontal cortices (PFCs) of patients with MDD, especially in C2 State-1Q astrocytes. Furthermore, by integrating snRNA-seq and bulk transcriptomic data, we found significant reductions in LC3A expression levels in the PFC region of CUMS-induced depressed mice, as well as in postmortem PFC tissues and peripheral blood samples from patients with MDD. These results were further validated by qPCR using whole-blood samples from patients with MDD and healthy controls. Finally, LC3A expression in the whole blood of patients with MDD was negatively associated with the severity of depressive symptoms. Overall, our results underscore autophagy inhibition in PFC astrocytes as a common molecular characteristic in MDD and might reveal a novel potential diagnostic marker LC3A.

A 6-week, phase IIb, randomized, double-blind, placebo-controlled trial of Anyu Peibo capsules for the treatment of major depressive disorder in adults.

Background: Almost one-third of patients with major depressive disorder (MDD) do not respond to conventional antidepressants, and new treatments for MDD are urgently needed. Objectives: This phase IIb clinical trial was designed to evaluate the efficacy and safety of Anyu Peibo capsules in the treatment of adults with MDD. Design: A multicenter, randomized, double-blind, placebo-controlled, parallel-group, fixed-dose study. Methods: A total of 172 patients with MDD from nine study centers were randomized (1:1) to receive placebo (n = 86) or oral Anyu Peibo capsules (0.8 g) twice per day (n = 86) for 6 weeks. The primary endpoint was the change in the Montgomery Åsberg Depression Rating Scale (MADRS) total score from baseline to week 6, analyzed using an analysis of covariance (ANCOVA) approach with the baseline MADRS score, center effect and center by group interaction as the covariates. Other efficacy endpoints and variables included clinical response and remission rates according to the MADRS and the 17-item Hamilton Depression Rating Scale (HAMD-17) scores, the change in the HAMD-17, Clinical Global Impression - Severity scale and Clinical Global Impression - Improvement scale scores and the reduction in the Hamilton Anxiety Scale from baseline to week 6. Results: The mean baseline MADRS total scores were 29.20 and 29.72 in the Anyu Peibo (n = 82) and placebo groups (n = 81), respectively. The least squares mean change in the MADRS score from baseline to week 6 was 16.59 points in the Anyu Peibo group and 14.51 points in the placebo group. Although there were greater reductions in the MADRS score from baseline to week 6 in the Anyu Peibo capsule group compared to the placebo group, the difference did not reach statistical significance (least-squares mean difference, 2.07 points; 95% confidence interval, -0.27 to 4.41; p = 0.0819). The results of sensitivity analyses by ANCOVA with the last observation carried forward method for missing data indicated that the administration of Anyu Peibo capsules may lead to a significant reduction in depressive symptoms compared to the placebo (least-squares mean difference: 3.29 points; 95% confidence interval: 0.64-5.93; p = 0.0152). Furthermore, Anyu Peibo capsules showed significant benefits over placebo when the change in the HAMD-17 score from baseline to week 6 was evaluated as the secondary analysis (t = 2.01; 95% confidence interval, 0.03-4.23; p = 0.0464). Conclusion: Anyu Peibo capsules may have an effective and safe antidepressant effect, which warrants further research.

Barriers to sexual health-seeking behaviors for Chinese women.

PURPOSE: Cognitive barriers to Chinese women's sexual health-seeking behaviours remained unclear. Therefore, we conducted this study to investigate the characteristics of the sexual health beliefs of Chinese women to clarify why they were reluctant to seek help for sexual issues. METHODS: An online survey was undertaken from April to July 2020. RESULTS: A total of 3443 valid responses were gleaned (the effective rate was 82.6%), the participants of which were mainly Chinese urban women of childbearing age. Up to 66.0% (n=2271, the standardized rate was 66.8%~73.4%) felt ashamed of sexual health-related disorders. Most women (49.4%, n=1700) were strongly motivated to seek help for sexual issues but also had a great psychological impediment. Women with low motivation and a great psychological impediment were rare (6.4%, n= 219). CONCLUSIONS: The shame of sexual health-related disorders was the main barrier to sexual health-seeking behaviours for Chinese women, which should be given enough attention in related health services and sexual education.

Characteristics of Chinese women in need of enhanced sexual health attention and at risk of hypoactive sexual desire disorder.

BACKGROUND: The target population for women's sexual health services in China was unclear. To identify high-risk individuals with psychological barriers to sexual health-seeking behaviors and those at high risk of hypoactive sexual desire disorder (HSDD), we investigated correlates of Chinese women's unwillingness to communicate sexual health, the shame of sexual health-related disorders, sexual distress, and HSDD. METHODS: An online survey was conducted from April to July 2020. RESULTS: We received 3443 valid responses online (effective rate 82.6%). Participants were mainly Chinese urban women of childbearing age (median 26 years old, Q1-Q3 23-30). Women who knew little about sexual health knowledge (aOR 0.42, 95%CI 0.28-0.63) and were ashamed (aOR 0.32-0.57) of sexual health-related disorders were less willing to communicate sexual health. Age (aOR 4.29, 95%CI 2.26-8.17), low income (aOR 1.52-2.11), family burden (aOR 1.34-1.43), and living with friends (aOR 1.39, 95%CI 1.02-1.91) were independent correlates of women's shame about sexual health-related disorders while living with a spouse (aOR 0.66, 95%CI 0.51-0.86) or children (aOR 0.77, 95%CI 0.62-0.96) were correlated with less shame. Age (aOR 0.98, 95%CI 0.96-0.99) and a postgraduate degree (aOR 0.45, 95%CI 0.28-0.71) were linked with less sexual distress of low sexual desire while having children (aOR 1.38-2.10), intense work pressure (aOR 1.32, 95%CI 1.10-1.60) and heavy family burden (aOR 1.43, 95%CI 1.07-1.92) increased women's odds of having distress. Women with a postgraduate degree (aOR 0.42, 95%CI 0.19-0.90), more knowledge about sexual health (aOR 0.53-0.67), and decreased sexual desire caused by pregnancy, recent childbirth, or menopausal symptoms (aOR 0.60, 95%CI 0.41-0.85) were less likely to have HSDD, while they were more likely to have HSDD when their decreased sexual desire was due to other sexual issues (aOR 2.56, 95%CI 1.84-3.57) and partners' sexual problems (aOR 1.72, 95%CI 1.23-2.39). CONCLUSION: Sexual health education and related services need to focus on psychological barriers of women with older age, insufficient knowledge of sexual health, intense work pressure, and poor economic conditions. The medical staff need to pay attention to the sexual health of women with intense work or life pressure and a history of gynecological disease. Low sexual desire is not equal to the sexual desire problem, which should be noticed in the future.

A phase 3, multicenter, double-blind, randomized, placebo-controlled clinical trial to verify the efficacy and safety of ansofaxine (LY03005) for major depressive disorder.

Major depressive disorder (MDD) is the most prevalent form of depression and is becoming a great challenge for public health and medical practice. Although first-line antidepressants offer therapeutic benefits, about 35% of depressed patients are not adequately treated, creating a substantial unmet medical need. A multicenter, double-blind, randomized, placebo-controlled phase 3 clinical trial was conducted in patients with MDD in China to assess the efficacy and safety of ansofaxine (LY03005), a potential triple reuptake inhibitor of serotonin, norepinephrine, and dopamine. Eligible 588 MDD patients were included and randomly assigned (1:1:1) to 8-week treatment with ansofaxine 80 mg/day(n = 187), ansofaxine 160 mg/day(n = 186), or placebo(n = 185). The primary efficacy endpoint was the Montgomery-Åsberg Depression Rating Scale (MADRS) total score change from baseline to the end of the study. Safety indexes included adverse events, vital signs, physical examination, laboratory tests, 12-lead electrocardiogram (ECG), and evaluation of suicide tendency and sexual function. Significant differences were found in mean changes in MADRS total score at week 8 in the two ansofaxine groups (80 mg, -20.0; 160 mg, -19.9) vs. placebo (-14.6; p < 0.0001). All doses of ansofaxine were generally well-tolerated. Treatment-emergent adverse events (TEAEs) were reported by 137 (74.46%) patients in ansofaxine 80 mg group, 144 (78.26%) patients in ansofaxine 160 mg and 125 (67.93%) patients in the placebo group. The incidence of treatment-related adverse events (TRAEs) was 59.2% (109 patients), 65.22% (120 patients) in the 80, 160 mg ansofaxine groups, and 45.11% (83 patients) in the placebo group. The initial results of this trial indicate that ansofaxine at both the 80 mg/day and 160 mg/day was effective and safe in adult patients with MDD. ClinicalTrials.gov Identifier: NCT04853407.

Plasma biomarker panel for major depressive disorder by quantitative proteomics using ensemble learning algorithm: A preliminary study.

Major depressive disorder (MDD) is a major international public health issue; thus, investigating its underlying mechanisms and identifying suitable biomarkers to enable its early detection are imperative. Using data-independent acquisition-mass spectrometry-based proteomics, the plasma of 44 patients with MDD and 25 healthy controls was studied to detect differentially expressed proteins. Bioinformatics analyses, such as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, Protein-Protein Interaction network, and weighted gene co-expression network analysis were employed. Moreover, an ensemble learning technique was used to build a prediction model. A panel of two biomarkers, L-selectin and an isoform of the Ras oncogene family was identified. With an area under the receiver operating characteristic curve of 0.925 and 0.901 for the training and test sets, respectively, the panel was able to distinguish MDD from the controls. Our investigation revealed numerous potential biomarkers and a diagnostic panel based on several algorithms, which may contribute to the future development of a plasma-based diagnostic approach and better understanding of the molecular mechanisms of MDD.

Risk factors, clinical correlates, and social functions of Chinese schizophrenia patients with drug-induced parkinsonism: A cross-sectional analysis of a multicenter, observational, real-world, prospective cohort study.

Background: Drug-induced parkinsonism (DIP) is the most prevalent neurological side effect of antipsychotics in the Chinese population. Early prevention, recognition, and treatment of DIP are important for the improvement of treatment outcomes and medication adherence of schizophrenia patients. However, the risk factors of DIP and the impact on the clinical syndromes of schizophrenia remain unknown. Aim: The goal of this study was to explore the risk factors, clinical correlates, and social functions of DIP in Chinese schizophrenia patients. Methods: A cross-sectional analysis of a multicenter, observational, real-world, prospective cohort study of the Chinese schizophrenia population with a baseline assessment was conducted from the year 2012 to 2018. Participants were recruited from four mental health centers in Shanghai and totaled 969 subjects. Sociodemographic data, drug treatment, and clinical variables were compared between the DIP group and the non-DIP group. Variables that correlated with the induction of DIP, and with p≤ 0.1, were included in the binary logistic model for analyzing the risk factors of DIP. First generation antipsychotics (FGA)/second generation antipsychotics (SGA) model and high and low/medium D2 receptor antipsychotics were analyzed respectively to control the bias of co-linearity. All risk factors derived from the a forementioned models and clinical variables with p≤ 0.1 were included in the multivariate analysis of clinical correlates and social function of DIP patients. The Positive and Negative Syndrome Scale (PANSS) model and the personal and social performance (PSP) model were analyzed separately to control for co-linearity bias. Results: Age (OR = 1.03, p< 0.001), high D2 receptor antagonist antipsychotic dose (OR = 1.08, p = 0.032), and valproate dose (OR = 1.01, p = 0.001) were the risk factors of DIP. FGA doses were not a significant contributor to the induction of DIP. Psychiatric symptoms, including more severe negative symptoms (OR = 1.09, p< 0.001), lower cognition status (OR = 1.08, p = 0.033), and lower excited symptoms (OR = 0.91, p = 0.002), were significantly correlated with DIP induction. Social dysfunction, including reduction in socially useful activities (OR = 1.27, p = 0.004), lower self-care capabilities (OR = 1.53, p< 0.001), and milder disturbing and aggressive behavior (OR = 0.65, p< 0.001), were significantly correlated with induction of DIP. Valproate dose was significantly correlated with social dysfunction (OR = 1.01, p = 0.001) and psychiatric symptoms (OR = 1.01, p = 0.004) of DIP patients. Age may be a profound factor that affects not only the induction of DIP but also the severity of psychiatric symptoms (OR = 1.02, p< 0.001) and social functions (OR = 1.02, p< 0.001) of schizophrenia patients with DIP. Conclusion: Age, high D2 receptor antagonist antipsychotic dose, and valproate dose are risk factors for DIP, and DIP is significantly correlated with psychiatric symptoms and social performance of Chinese schizophrenia patients. The rational application or discontinuation of valproate is necessary. Old age is related to psychotic symptoms and social adaption in Chinese schizophrenic patients, and early intervention and treatment of DIP can improve the prognosis and social performance of schizophrenia patients. Clinical Trial Registration: Identifier: NCT02640911.

miR-124 Exacerbates depressive-like behavior by targeting Ezh2 to induce autophagy.

On the basis of our previous research, miR-124 and autophagy have been shown to be associated with depression and antidepressant treatment, respectively. However, whether miR-124 is involved in depressive-like behavior and antidepressant efficacy through regulating autophagy remains poorly understood. The chronic unpredictable mild stress (CUMS) depression model in mice was established, and then intraperitoneal fluoxetine injections (10 mg/kg) were administered for a duration of 4 weeks. The behavioral changes induced by CUMS were evaluated by the tail suspension test, open field test, sucrose preference test, and elevated plus maze test. Quantitative real-time PCR was used to detect expression levels of miR-124 and its three precursor genes in hippocampus of mice. Western blotting was used to detect the expressions of Ezh2 and autophagy proteins (P62, Atg3, Atg7, LC3-I, and LC3- II) in hippocampus of mice. Depression-like behaviors were successfully induced in CUMS models and reversed by SSRI treatments. The expression levels of miR-124 and its precursor gene ( miR-124-3 ) were significantly increased in the hippocampus of CUMS mice, while the expression levels were significantly decreased after 4 weeks of fluoxetine treatment. The mRNA and protein expressions of Ezh2, a validated target of miR-124, were decreased in the hippocampus of CUMS mice, and the fluoxetine treatment could reverse the expressions. A correlation analysis suggested that miR-124 had a significant negative correlation with Ezh2 mRNA expression. The protein levels of LC3-II/I, P62, and Atg7, which were found to be regulated by Ezh2, were increased in the hippocampus of CUMS mice and decreased after fluoxetine treatment. We speculated that autophagy was enhanced in the CUMS model of depression and might be mediated by miR-124 targeting Ezh2.

Integrated Module of Multidimensional Omics for Peripheral Biomarkers (iMORE) in patients with major depressive disorder: rationale and design of a prospective multicentre cohort study.

INTRODUCTION: Major depressive disorder (MDD) represents a worldwide burden on healthcare and the response to antidepressants remains limited. Systems biology approaches have been used to explore the precision therapy. However, no reliable biomarker clinically exists for prognostic prediction at present. The objectives of the Integrated Module of Multidimensional Omics for Peripheral Biomarkers (iMORE) study are to predict the efficacy of antidepressants by integrating multidimensional omics and performing validation in a real-world setting. As secondary aims, a series of potential biomarkers are explored for biological subtypes. METHODS AND ANALYSIS: iMore is an observational cohort study in patients with MDD with a multistage design in China. The study is performed by three mental health centres comprising an observation phase and a validation phase. A total of 200 patients with MDD and 100 healthy controls were enrolled. The protocol-specified antidepressants are selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors. Clinical visits (baseline, 4 and 8 weeks) include psychiatric rating scales for symptom assessment and biospecimen collection for multiomics analysis. Participants are divided into responders and non-responders based on treatment response (>50% reduction in Montgomery-Asberg Depression Rating Scale). Antidepressants' responses are predicted and biomarkers are explored using supervised learning approach by integration of metabolites, cytokines, gut microbiomes and immunophenotypic cells. The accuracy of the prediction models constructed is verified in an independent validation phase. ETHICS AND DISSEMINATION: The study was approved by the ethics committee of Shanghai Mental Health Center (approval number 2020-87). All participants need to sign a written consent for the study entry. Study findings will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT04518592.

Plasma metabolomics of schizophrenia with cognitive impairment: A pilot study.

Schizophrenia (SCZ) acts as a complex and burdensome disease, in which the functional outcome can be validly predicted by cognitive impairment, as one of the core features. However, there still lack considerable markers of cognitive deficits in SCZ. Based on metabolomics, it is expected to identify different metabolic characteristics of SCZ with cognitive impairment. In the present study, 17 SCZ patients with cognitive impairment (CI), 17 matched SCZ patients with cognitive normal (CN), and 20 healthy control subjects (HC) were recruited, whose plasma metabolites were measured using ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The result of metabolic profiling indicated the identification of 46 differentially expressed metabolites between HC, CN, and CI groups, with 7 differentially expressed metabolites between CN and CI groups. Four differential metabolites (imidazolepropionic acid, Homoserine, and Aspartic acid) were repeatedly found in both screenings, by which the formed biomarker panel could discriminate SCZ with cognitive impairment from matched patients (AUC = 0.974) and health control (AUC = 0.841), respectively. Several significant metabolic pathways were highlighted in pathway analysis, involving Alanine, aspartate and glutamate metabolism, D-glutamine and D-glutamate metabolism, and Citrate cycle (TCA cycle). In this study, several differentially expressed metabolites were identified in SCZ with cognitive impairment, providing novel insights into clinical treatment strategies.

Successful treatment of hyperglycemia with liraglutide in a hospitalized 27-year-old patient with schizophrenia: A case report.

BACKGROUND: Antipsychotics are associated with abnormalities in glucose metabolism in patients with schizophrenia. Liraglutide, a GLP-1 receptor agonist, is Food and Drug Administration approved for the treatment of type 2 diabetes mellitus. However, ways to maintain the long-term stability of psychotic symptoms and balance the disadvantages of obesity, diabetes, and other metabolic disorders caused by antipsychotic medications remain unclear. In this study, we present a case of weight gain and hyperglycemia in a schizophrenia patient who received antipsychotic polypharmacy for 6 years. CASE SUMMARY: A 27-year-old man with olanzapine and sodium valproate-treated disorganized schizophrenia was admitted to a diabetes outpatient clinic. He was diagnosed with type 2 diabetes (fasting blood glucose, 20 mmol/L) and obesity (body mass index, 38.58 kg/m2). The patient had been treated with glargine (40 IU/d) and metformin (1.5 g/d) and showed a poor response for 2 mo. Two years of liraglutide treatment resulted in stable blood glucose levels and weight loss in addition to a maintained stable mental status for a long time. The biological activities of GLP-1 significantly improved glucose levels and body weight in the schizophrenia patient treated with antipsychotic medications. CONCLUSION: Liraglutide administration can be considered an effective alternative treatment for abnormalities in glucose metabolism in schizophrenia patients receiving antipsychotics.

Recent Progress on Nanocrystalline Metallic Materials for Biomedical Applications.

Nanocrystalline (NC) metallic materials have better mechanical properties, corrosion behavior and biocompatibility compared with their coarse-grained (CG) counterparts. Recently, nanocrystalline metallic materials are receiving increasing attention for biomedical applications. In this review, we have summarized the mechanical properties, corrosion behavior, biocompatibility, and clinical applications of different types of NC metallic materials. Nanocrystalline materials, such as Ti and Ti alloys, shape memory alloys (SMAs), stainless steels (SS), and biodegradable Fe and Mg alloys prepared by high-pressure torsion, equiangular extrusion techniques, etc., have better mechanical properties, superior corrosion resistance and biocompatibility properties due to their special nanostructures. Moreover, future research directions of NC metallic materials are elaborated. This review can provide guidance and reference for future research on nanocrystalline metallic materials for biomedical applications.

The influence of TNIK gene polymorphisms on risperidone response in a Chinese Han population.

Aim: To investigate whether the TNIK gene affects risperidone treatment outcomes in the Chinese population. Methods: A total of 148 unrelated inpatients who received risperidone for six weeks were enrolled. The selected single nucleotide polymorphisms (SNPs; rs2088885, rs7627954 and rs13065441) were genotyped using the MassARRAY® SNP IPLEX platform. Results: The analysis showed that one novel SNP of TNIK, rs7627954, had a significant association with the response to risperidone (χ2 = 4.472; p = 0.034). This work also identified rs2088885 as significantly associated with risperidone response (χ2 = 5.257; p = 0.022). The result revealed that the rs2088885-rs7627954 C-T haplotype was more prevalent in good responders than in poor responders (p = 0.0278). Conclusion: This study revealed that the rs2088885 and rs7627954 SNPs of TNIK are associated with risperidone treatment response.

Long-Term Antipsychotic Effectiveness and Comparison of the Efficacy of Monotherapy and Polypharmacy in Schizophrenia: A 3-Years Follow-Up "Real World" Study in China.

Background: Discontinuation of antipsychotic treatment is a common problem in patients with schizophrenia and could reduce the effectiveness of treatment. Time to discontinuation (TTD) is one of the indicators of compliance and may also be an effective indicator of medication efficacy. The aim of the study was to compare the clinical effectiveness of quetiapine, olanzapine, risperidone, and aripiprazole in the real-world treatment of schizophrenia with 3-years follow-up. Method: A multi-center, open, cohort, prospective, real-world study was conducted. 706 patients were analyzed without intervention in medication selection and use, followed up for 3 years. Kaplan-Meier survival curves were used to draw the treatment discontinuation rates (TDR) curves at each time point. Cox proportional hazard regression model was used to assess the relative risk of TTD of antipsychotics. Results: There was a significant difference among monotherapy groups in all-cause antipsychotic treatment discontinuation (p = 0.0057). Among the four medications, the TDR of risperidone was the highest. Compared with polypharmacy, except for aripiprazole, the TDR of other three monotherapy medications were lower than that of polypharmacy, and olanzapine was statistically different (p = 0.0325). The cox regression analysis showed that after correction of Hochberg with multiple tests, only olanzapine had a relative risk lower than risperidone (p < 0.0083). Conclusions: The findings indicated that risperidone monotherapy and polypharmacy had the highest TDR and the shortest TTD. Olanzapine monotherapy had a relative risk lower than risperidone and was superior to polypharmacy.

Identification of prognostic signature with seven LncRNAs for papillary thyroid carcinoma.

PURPOSE: With the increasing incidence of thyroid cancer (TC), the prognostic risk assessment of thyroid cancer has been becoming more and more important. The aim of this study was to screen TC-related biomarkers and identify key multi-long non coding RNA (lncRNA) signature for prognostic risk assessment of papillary TC. MATERIAL AND METHODS: The lncRNAs differentially expressed between TC tissue and adjacent normal tissue was identified by R language. Bioinformatics analysis was applied to screen the lncRNAs significantly associated with prognosis in TC patients and build the multi-lncRNA signature. The lncRNAs were annotated by co-expression and enrichment analysis to demonstrate the underlying mechanism of their effect on prognosis. RESULTS: 285 up-regulated and 174 down-regulated differently expressed lncRNAs were identified. Based on seven signature lncRNAs (AL591846.2, AC253536.3, AC004112.1, LINC00900, AC008555.1, TNRC6C-AS1, LINC01736) a prognostic risk assessment model was built. The model can segregate the patients into the high-risk and low-risk groups (P value <0.0001, CI: 0.02∼0.14). ROC analysis revealed that the area under the curve reached 0.86, indicating that this model had an excellent sensitivity and specificity. Also, the model could act as an independent prognostic indication (HR â€‹= â€‹2.90, P value â€‹= â€‹0.0094 with multivariate analysis). Annotation results further supported and enriched our understanding of the seven signature lncRNAs. Importantly, expression levels of three of the seven lncRNAs were confirmed in Gene Expression Omnibus (GEO) data. CONCLUSIONS: This study has provided a promising method for the prognostic risk assessment in patients with TC.