A Transdiagnostic Network Analysis of Childhood Trauma and Psychopathology.

BACKGROUND AND HYPOTHESIS: Psychiatric comorbidities suggest that symptoms overlap across different diagnoses; the transdiagnostic network approach is valuable for studying psychopathology. Childhood trauma is a common transdiagnostic risk factor for psychiatric disorders, but the complex relationship between childhood trauma and psychopathology has seldom been investigated using a large cross-sectional transdiagnostic sample. STUDY DESIGN: This study recruited 869 patients with different diagnoses, including 418 schizophrenia, 215 bipolar disorder, and 236 major depressive disorder. Participants completed psychiatric interviews and self-report questionnaires. We constructed dimension- and item-level Least Absolute Shrinkage and Selection Operator-based (LASSO) networks to explore the relationship between childhood trauma, psychopathology, and duration of illness. Moreover, we constructed directed acyclic graphs (DAGs) to tentatively clarify the potential directions of associations among these variables. Network Comparison Tests (NCTs) were conducted for different diagnostic groups and gender-stratified groups. STUDY RESULTS: The transdiagnostic LASSO networks showed that different types of childhood trauma exerted distinct impacts on various psychopathological dimensions. Emotional abuse was linked to depressive symptoms, physical abuse to excited symptoms, sexual abuse to positive and disorganized symptoms, emotional neglect to depressive symptoms and motivation and pleasure (MAP) deficits factor of negative symptoms, and physical neglect to MAP factor. The DAG findings generally concurred with the LASSO network. The NCT showed comparable networks. CONCLUSIONS: Our findings suggest that childhood trauma is significantly associated with the development of psychopathology across different diagnostic groups. The affective pathway model suggests that early identification and tailored interventions would be needed for people with a history of childhood trauma.

Gegen Qinlian Decoction Modulates Atherosclerosis and Lipid Metabolism Through Cellular Interplay and Signaling Pathways.

OBJECTIVE: The objective of this study is to investigate Gegen Qinlian decoction (GQD) effects on lipid metabolism and explore its mechanism for preventing and treating atherosclerosis. METHODS: An atherosclerotic rat model was established;, and after an 8-week high-fat diet, atherosclerosis and non-alcoholic fatty liver disease were assessed. Subsequently, GQD was administered at low and high doses. Histopathological aortic wall changes, hepatic lipid deposition, and blood lipid changes were evaluated. ELISA indicated the influence of TNF-α and IL-13, and Western blotting revealed MerTK, ABCA1, and LXR-α expression. A foam macrophage model was established, and Cell activity was detected by the MTT method. ELISA indicated the influence of PPAR-γ. The expression of ABCA1, ABCA7, ABCG1, GAS6, MerTK, SCARB1, LXR- α and LXR-ß mRNA were detected by qPCR， and Western blotting revealed MerTK and LXR-α expression. The impact of drug-containing serum of GQD on efferocytosis-related factors was studied. RESULTS: GQD improved atherosclerosis and non-alcoholic fatty liver disease and reduced serum low-density lipoprotein levels in the high-dose group. The high- and low-dose groups showed upregulated ABCA1, MerTK, and LXR-α expression in blood vessels and the liver, respectively. GQD decreased serum TNF-α and increased IL-13 levels. PPAR-γ expression was elevated in the high-, and low-dose groups. In the high-and low-dose groups, ABCA7, GAS6, SCARB1, and LXR-α, ABCA1 and MerTK, and ABCG1 gene expression were upregulated, respectively. Both low- and high-dose serum-containing drugs promoted LXR-ß gene expression, and LXR-α protein expression was improved in the high-dose group. CONCLUSION: GQD improves rat atherosclerosis and hepatic lipid metabolism by regulating PPAR-γ, LXR-α, LXR-ß, ABCA1, ABCA7, and ABCG1 expression and augmenting cellular intercalation through the GAS6/TAM pathway.

Different Levels of Autophagy Activity in Mesenchymal Stem Cells Are Involved in the Progression of Idiopathic Pulmonary Fibrosis.

Idiopathic pulmonary fibrosis (IPF) is an age-related lung interstitial disease that occurs predominantly in people over 65 years of age and for which there is a lack of effective therapeutic agents. It has demonstrated that mesenchymal stem cells (MSCs) including alveolar epithelial cells (AECs) can perform repair functions. However, MSCs lose their repair functions due to their distinctive aging characteristics, eventually leading to the progression of IPF. Recent breakthroughs have revealed that the degree of autophagic activity influences the renewal and aging of MSCs and determines the prognosis of IPF. Autophagy is a lysosome-dependent pathway that mediates the degradation and recycling of intracellular material and is an efficient way to renew the nonnuclear (cytoplasmic) part of eukaryotic cells, which is essential for maintaining cellular homeostasis and is a potential target for regulating MSCs function. Therefore, this review focuses on the changes in autophagic activity of MSCs, clarifies the relationship between autophagy and health status of MSCs and the effect of autophagic activity on MSCs senescence and IPF, providing a theoretical basis for promoting the clinical application of MSCs.

The network characteristics in schizophrenia with prominent negative symptoms: a multimodal fusion study.

Previous studies on putative neural mechanisms of negative symptoms in schizophrenia mainly used single modal imaging data, and seldom utilized schizophrenia patients with prominent negative symptoms (PNS).This study adopted the multimodal fusion method and recruited a homogeneous sample with PNS. We aimed to identify negative symptoms-related structural and functional neural correlates of schizophrenia. Structural magnetic resonance imaging (sMRI) and resting-state functional MRI (rs-fMRI) were performed in 31 schizophrenia patients with PNS and 33 demographically matched healthy controls.Compared to healthy controls, schizophrenia patients with PNS exhibited significantly altered functional activations in the default mode network (DMN) and had structural gray matter volume (GMV) alterations in the cerebello-thalamo-cortical network. Correlational analyses showed that negative symptoms severity was significantly correlated with the cerebello-thalamo-cortical structural network, but not with the DMN network in schizophrenia patients with PNS.Our findings highlight the important role of the cerebello-thalamo-cortical structural network underpinning the neuropathology of negative symptoms in schizophrenia. Future research should recruit a large sample and schizophrenia patients without PNS, and apply adjustments for multiple comparison, to verify our preliminary findings.

Range adaptive value representations in schizophrenia and major depression.

Anhedonia and amotivation are core symptoms of schizophrenia (SCZ) and major depressive disorder (MDD). Reward processing involves constructing and contrasting the representations for expected value (EV) and outcome value (OV) of a given stimulus, a phenomenon termed range adaptation. Impaired range adaptation can lead to anhedonia and amotivation. This study aimed to examine range adaptation in SCZ patients and MDD patients. Fifty SCZ, 46 MDD patients and 56 controls completed the Effort-based Pleasure Experience Task to measure EV and OV adaptation. SCZ and MDD patients showed altered range adaptation, albeit in different patterns. SCZ patients exhibited over-adaptation to OV and reduced adaptation to EV. By contrast, MDD patients exhibited diminished OV adaptation but intact EV adaptation. Both OV and EV adaptation were correlated with anhedonia and amotivation in SCZ and MDD. Taken together, our findings suggest that range adaptation is altered in both SCZ and MDD patients. Associations of OV and EV adaptation with anhedonia and amotivation were consistently found in SCZ and MDD patients. Impaired range adaptation in SCZ and MDD patients may be putative neural mechanisms and potential intervention targets for anhedonia and amotivation.

Risk Factors for Pulmonary Infection and Nursing Interventions Post-Tracheostomy in Patients with Spinal Cord Injury.

Objective: We analyzed the characteristics and risk factors for pulmonary infection in patients with spinal cord injury who underwent tracheostomy and propose measures to help in early detection and intervention to reduce mortality and improve prognosis. Methods: We collected data retrospectively from January 1, 2018, to December 31, 2022. The inclusion criteria were: Patients aged 18 years or more with a spinal cord injury who underwent tracheostomy, were treated with mechanical ventilation for over 48 hours, and were diagnosed as having a pulmonary infection. Sputum samples were cultured and analyzed. Results: 101 cases of pulmonary infection were analyzed, and the incidence was 32.17%. Diabetes (OR 2.302, 95% CI 1.285-3.972), hypoproteinemia (OR 1.992, 95% CI 1.125-3.101), administration of glucocorticoids (OR 2.934, 95% CI 1.412-4.661), ASIA grade A (OR 3.672, 95% CI 1.988-5.046), mechanical ventilation for ≥ 6 days (OR 2.108, 95% CI 1.385-4.751), and length of hospital stay for ≥ 20 days (OR 2.137, 95% CI 1.092-3.842) were risk factors for pulmonary infection in patients with spinal cord injury post-tracheostomy. Among 213 pathogenic bacteria, 52 (51.48%) were Gram-negative and 24 (23.76%) were Gram-positive. Klebsiella pneumoniae (15.84%) and Staphylococcus aureus (8.91%) were the most common pathogenic bacteria. The mortality rate of patients with gram-positive infection was higher than that of patients with gram-negative infection. K. pneumoniae and S. aureus were sensitive to cefoperazone, meropenem, and levofloxacin. Conclusion: Pulmonary infection is a complication post-tracheostomy in patients with spinal cord injury. Diabetes, hypoproteinemia, administration of glucocorticoids, mechanical ventilation for ≥ 6 days, length of hospital stay for ≥ 20 days were risk factors for pulmonary infection. Pulmonary infection was mainly caused by gram-negative bacteria. Timely and effective measures for managing risk factors are essential for improving the prognosis of pulmonary infection post-tracheostomy in patients with spinal cord injuries.

Novel ProTide prodrugs of 5-fluoro-2'-deoxyuridine for the treatment of liver cancer.

ProTide prodrug technology has emerged as a promising way for the development of anti-viral and anti-tumor drugs, whereas, there are fewer applications for the treatment of liver cancer. Herein, a series of distinct 3'-ester ProTide prodrugs of 5-fluoro-2'-deoxyuridine (FdUR) were synthesized and evaluated for their anti-liver cancer activity. The most efficient prodrug 11b reached a sub-micromolar activity (IC50 = 0.42 ± 0.13 µM) against HepG2 and over 100-fold and 200-fold improvements compared to 5-FU, respectively. 11b also demonstrated favorable selectivity towards normal liver cells L-02 (IC50 > 100 µM). In vitro metabolic stability studies revealed that 11b is stable in the plasma and could be activated rapidly in the liver, which supported that 11b is liver-targeted. Importantly, to more accurately evaluate the anti-HCC activity of 11b, the liver orthotopic model was built and 11b significantly suppressed tumor growth (TGI = 75.5%) at a dose of 60 mg/kg/2d in vivo without obvious toxicity. Overall, these promising results indicated that 11b could serve as a safe and effective prodrug of 5-FU nucleoside for liver cancer therapy.

Targeting Mitochondrial Homeostasis: The Role of Acupuncture in Depression Treatment.

Background: Depression is a common mental health disorder characterized by persistent feelings of sadness, loss of interest or pleasure, and a range of physical and cognitive symptoms. It affects people of all ages and can significantly impact their daily functioning and quality of life. Mitochondrial homeostasis plays an important role in the pathogenesis of depression. Mitochondrial homeostasis includes mitophagy, mitochondrial oxidative stress, mitoptosis, mitochondrial biogenesis, and mitochondrial dynamics. The regulation of mitochondrial homeostasis is the key link in the prevention and treatment of depression. Methods: In this article, we focus on the core link of depression-mitochondrial homeostasis and summarize the research progress of acupuncture targeting mitochondrial homeostasis in the treatment of depression in recent years, so as to provide ideas and experimental basis for the research and formulation of more appropriate depression treatment strategies. Results: Acupuncture has been found to regulate mitochondrial homeostasis (by modulating mitochondrial autophagy, reducing mitochondrial oxidative stress, inhibiting mitochondrial fission, inducing mitochondrial biogenesis, and maintaining mitochondrial dynamics), alleviate depression-like behavior, and regulate signal pathways and key proteins. Conclusion: Here, we highlight the role of acupuncture in the treatment of depression. A comprehensive exploration of the impact of acupuncture on mitochondrial homeostasis could potentially present a novel mechanism for treating depression and offer fresh perspectives for the treatment of patients with clinical depression.

Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors.

We present a benchmark dataset for evaluating physical human activity recognition methods from wrist-worn sensors, for the specific setting of basketball training, drills, and games. Basketball activities lend themselves well for measurement by wrist-worn inertial sensors, and systems that are able to detect such sport-relevant activities could be used in applications of game analysis, guided training, and personal physical activity tracking. The dataset was recorded from two teams in separate countries (USA and Germany) with a total of 24 players who wore an inertial sensor on their wrist, during both a repetitive basketball training session and a game. Particular features of this dataset include an inherent variance through cultural differences in game rules and styles as the data was recorded in two countries, as well as different sport skill levels since the participants were heterogeneous in terms of prior basketball experience. We illustrate the dataset's features in several time-series analyses and report on a baseline classification performance study with two state-of-the-art deep learning architectures.

Congenital hepatic hemangioma: an unusual case report of pulmonary hypertension.

BACKGROUND: Pulmonary hypertension (PH) in newborns is a rare but serious condition that often requires immediate intervention and quick diagnosis of the correct etiology to prevent mortality. Congenital hepatic hemangioma (CHH) is an example of an extrathoracic etiology of PH. CASE PRESENTATION: Herein, we report the case of a newborn with a giant liver hemangioma, who presented with an early onset of PH and was successfully treated with intra-arterial embolization. CONCLUSIONS: This case illustrates the importance of suspicion and prompt evaluation of CHH and related systemic arteriovenous shunts among infants with unexplained PH.

Histologic changes in immune-tolerant patients with chronic hepatitis B: a systematic review and meta-analysis.

The serological diagnostic criteria for the immune-tolerant (IT) phase have not been strictly defined and it is hard to determine an accurate rate for significant histologic changes among IT patients. The aim of this study was to establish a baseline rate of significant histologic changes and to determine the main characteristics of IT patients. We systematically searched PubMed, Embase, and Web of Science. Studies reporting liver biopsy results (inflammation grade or fibrosis stage) for adults with chronic hepatitis B virus (HBV) infection in the IT phase diagnosed by serological criterion were included to pool the rate of significant histologic changes. Studies that enrolled subjects with confirmed chronic HBV infection in the IT phase diagnosed by serological and liver biopsy criteria (dual criteria) were included to pool the mean values of main characteristics among IT patients. Of 319 studies screened, 15 were eventually included in the meta-analysis. The pooled rates of significant liver fibrosis and inflammatory activity for 10 studies were 10% (95% confidence interval [CI] 0.06-0.18) and 16% (95% CI 0.07-0.31), respectively. The pooled mean values of age, alanine aminotransferase level, HBV DNA level, and HBsAg level for another 5 studies with IT patients diagnosed by dual criteria were 30.7 years (95% CI 27.31-34.09), 26.64 IU/mL (95% CI 24.45-28.83), 8.41 log10 cp/mL (95% CI 7.59-9.23), and 4.24 log10 IU/mL (95% CI 3.67-4.82), respectively. Significant histologic changes were not rare events among IT patients. Strictly defined serological diagnostic criteria for the IT phase are warranted.

Do Twitter users change their behavior after exposure to misinformation? An in-depth analysis.

Social media platforms have been exploited to disseminate misinformation in recent years. The widespread online misinformation has been shown to affect users' beliefs and is connected to social impact such as polarization. In this work, we focus on misinformation's impact on specific user behavior and aim to understand whether general Twitter users changed their behavior after being exposed to misinformation. We compare the before- and after-exposure behaviors of Twitter users to determine whether they changed their tweeting frequency, tweets sentiment, usage of specific types of words, and the ratio of liberal/conservative media URLs they shared. Our results show that users overall exhibited statistically significant changes in behavior across some of these metrics. Through language distance analysis, we show that exposed users were already different from baseline users before the exposure. We also study the characteristics of several specific user groups, which include liberal/conservative leaning groups and multi-exposure groups. Furthermore, we study whether the users' behavior changes after exposure to misinformation tweets vary based on their follower count or the follower count of the tweet authors. Finally, we examine potential bots' behaviors and find they are similar to that of normal users.

Neuroprotective Effects of Poria cocos (Agaricomycetes) Essential Oil on Aß1-40-Induced Learning and Memory Deficit in Rats.

Alzheimer's disease (AD) is a neurodegenerative disease that has become a leading cause of death in recent years. The present study aimed to explore the possible prophylactic effects of Poria cocos essential oil (PCEO) against memory deficits in Aß rats. Adult male Wistar rats were given Aß1-42 via ICV injection. The effect of 30 d administration of PCEO by oral gavage was investigated. Novel object recognition (NOR) test, Morris water maze (MWM) test, and passive avoidance memory retention (PAM) task were performed. Aß decreased the cognitive memory in NOR, spatial memory in MWM, and passive avoidance memory in PAM tests. In contrast, PCEO improved learning and memory in the treated group. The PCEO treatment halts the activity of AChE in the hippocampus and cortex of the AD rats. The central neuronal degeneration in Aß-injected rats was not only ascertained by the histopathological changes but also confirmed indirectly by the concomitant increase in GFAP immunostaining. The beneficial effects in AD of increasing cellular GPx, GR, CAT, Na+ K+ ATPase and GST through the administration of PCEO may not only result in protection against neurodegeneration but also result in improvement in cognitive function. PCEO may be recommended as a prophylactic and/or adjunct medication for neurodegenerative diseases.

Amisulpride augmentation therapy improves cognitive performance and psychopathology in clozapine-resistant treatment-refractory schizophrenia: a 12-week randomized, double-blind, placebo-controlled trial.

BACKGROUND: Although clozapine is an effective option for treatment-resistant schizophrenia (TRS), there are still 1/3 to 1/2 of TRS patients who do not respond to clozapine. The main purpose of this randomized, double-blind, placebo-controlled trial was to explore the amisulpride augmentation efficacy on the psychopathological symptoms and cognitive function of clozapine-resistant treatment-refractory schizophrenia (CTRS) patients. METHODS: A total of 80 patients were recruited and randomly assigned to receive initial clozapine plus amisulpride (amisulpride group) or clozapine plus placebo (placebo group). Positive and Negative Syndrome Scale (PANSS), Scale for the Assessment of Negative Symptoms (SANS), Clinical Global Impression (CGI) scale scores, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Treatment Emergent Symptom Scale (TESS), laboratory measurements, and electrocardiograms (ECG) were performed at baseline, at week 6, and week 12. RESULTS: Compared with the placebo group, amisulpride group had a lower PANSS total score, positive subscore, and general psychopathology subscore at week 6 and week 12 (PBonferroni < 0.01). Furthermore, compared with the placebo group, the amisulpride group showed an improved RBANS language score at week 12 (PBonferroni < 0.001). Amisulpride group had a higher treatment response rate (P = 0.04), lower scores of CGI severity and CGI efficacy at week 6 and week 12 than placebo group (PBonferroni < 0.05). There were no differences between the groups in body mass index (BMI), corrected QT (QTc) intervals, and laboratory measurements. This study demonstrates that amisulpride augmentation therapy can safely improve the psychiatric symptoms and cognitive performance of CTRS patients. CONCLUSION: This study indicates that amisulpride augmentation therapy has important clinical significance for treating CTRS to improve clinical symptoms and cognitive function with tolerability and safety. Trial registration Clinicaltrials.gov identifier- NCT03652974. Registered August 31, 2018, https://clinicaltrials.gov/ct2/show/NCT03652974.

Global Impact of COVID-19 Pandemic on Physical Activity Habits of Competitive Runners: An Analysis of Wearable Device Data.

The COVID-19 pandemic resulted in government restrictions that altered the lifestyle of people worldwide. Studying the impact of these restrictions on exercise behaviors will improve our understanding of the environmental factors that influence individuals' physical activity (PA). We conducted a retrospective analysis using an stringency index of government pandemic policies developed by Oxford University and digitally-logged PA data from more than 7000 runners collected using a wearable exercise-tracking device to compare the relationship between strictness of lockdowns and exercise habits on a global scale. Additionally, the time-of-day of PA globally, and activity-levels of PA in 14 countries, are compared between the pre-pandemic year of 2019 and the first pandemic year of 2020. We found that during the pandemic year there was a major shift in the time-of-day that runners exercised, with significantly more activity counts logged during standard working hours on workdays (p < 0.001) and fewer activities during the same time frame on weekends (p < 0.001). Of the countries examined, Italy and Spain had among the most strict lockdowns and suffered the largest decreases in activity counts, whereas France experienced a minimal decrease in activity counts despite enacting a strict lockdown with certain allowances. This study suggests that there are several factors affecting PA of dedicated runners, including government policy, workplace policy, and cultural norms.

Revisiting the latent structure of negative symptoms in schizophrenia: Evidence from two second-generation clinical assessments.

BACKGROUND: Negative symptoms are core symptom of schizophrenia, and many previous research studied the latent structure of negative symptoms based on a single measurement scale. Applying two second-generation negative symptom scales to the same sample can address measurement-invariance of latent structure. METHODS: Three-hundred-and-five schizophrenia patients were assessed using the CAINS and the BNSS. Confirmatory Factor Analysis (CFA) tested four competing factor-models: (1) a 1-factor model; (2) a 2-factor model comprising the motivation and pleasure (MAP) domain and the diminished expression (EXP) domain; (3) a 5-factor model comprising anhedonia, avolition, asociality, blunted affect and alogia; (4) a hierarchical model comprising the "first-order" 5-domain factors and the "second-order" MAP & EXP factors. RESULTS: The CFA results for the data of the CAINS showed that the 2-factor model had the best data fit over the other competing models. The CFA using the BNSS data in the same sample also supported the superiority of the 2-factor model. Lastly, after combining the items of the BNSS and CAINS together in the same sample for CFA, the 2-factor model prevailed over the other competing models. CONCLUSIONS: The 2-factor model appears to be measurement-invariant latent structure of negative symptoms. The novel method of combining the items of the CAINS and BNSS might have circumvented the possible imperfect construct of a single scale. Our findings support the MAP and EXP factors as the latent structure for negative symptoms.

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease.

Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs). Establishing a risk warning model for PIP to screen high-risk patients and implementing targeted interventions would significantly reduce the occurrence of PIP and adverse drug events. Elderly patients with cardiovascular disease hospitalized at the Sichuan Provincial People's Hospital were included in the study. Information about PIP, PIM, and PPO was obtained by reviewing patient prescriptions according to the STOPP/START criteria (2nd edition). Data were divided into a training set and test set at a ratio of 8:2. Five sampling methods, three feature screening methods, and eighteen machine learning algorithms were used to handle data and establish risk warning models. A 10-fold cross-validation method was employed for internal validation in the training set, and the bootstrap method was used for external validation in the test set. The performances were assessed by area under the receiver operating characteristic curve (AUC), and the risk warning platform was developed based on the best models. The contributions of features were interpreted using SHapley Additive ExPlanation (SHAP). A total of 404 patients were included in the study (318 [78.7%] with PIP; 112 [27.7%] with PIM; and 273 [67.6%] with PPO). After data sampling and feature selection, 15 datasets were obtained and 270 risk warning models were built based on them to predict PIP, PPO, and PIM, respectively. External validation showed that the AUCs of the best model for PIP, PPO, and PIM were 0.8341, 0.7007, and 0.7061, respectively. The results suggested that angina, number of medications, number of diseases, and age were the key factors in the PIP risk warning model. The risk warning platform was established to predict PIP, PIM, and PPO, which has acceptable accuracy, prediction performance, and potential clinical application perspective.