Enhancing hospice care with psychological support and a nomogram to predict delirium in patients with advanced solid tumors.

To assesses the impact of integrating hospice care with psychological interventions on patient well-being and to introduce a predictive nomogram model for delirium that incorporates clinical and psychosocial variables, thereby improving the accuracy in hospice care environments. Data from 381 patients treated from September 2018 to February 2023 were analyzed. The patients were divided into a control group (n=177, receiving standard care) and an experimental group (n=204, receiving combined hospice care and psychological interventions) according to the treatment modality. The duration of care extended until the patient's discharge from the hospital or death. The experimental group demonstrated significant improvements in emotional well-being and a lower incidence of delirium compared to the control group. Specifically, emotional well-being assessments revealed marked improvements in the experimental group, as evidenced by lower scores on the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) post-intervention. The nomogram model, developed using logistic regression based on clinical characteristics, effectively predicted the risk of delirium in patients with advanced cancer. Significant predictors in the model included ECOG score ≥3, Palliative Prognostic Index score ≥6, opioid usage, polypharmacy, infections, sleep disorders, organ failure, brain metastases, electrolyte imbalances, activity limitations, pre-care SAS score ≥60, pre-care SDS score ≥63, and pre-care KPS score ≥60. The model's predictive accuracy was validated, showing AUC values of 0.839 for the training cohort and 0.864 for the validation cohort, with calibration and Decision Curve Analysis (DCA) confirming its clinical utility. Integrating hospice care with psychological interventions not only significantly enhanced the emotional well-being of advanced cancer patients but also reduced the actual incidence of delirium. This approach, offering a valuable Nomogram model for precise care planning and risk management, underscores the importance of integrated, personalized care strategies in advanced cancer management.

Integrating bulk RNA-seq and scRNA-seq analyses revealed the function and clinical value of thrombospondins in colon cancer.

Background: Acting as mediators in cell-matrix and cell-cell communication, matricellular proteins play a crucial role in cancer progression. Thrombospondins (TSPs), a type of matricellular glycoproteins, are key regulators in cancer biology with multifaceted roles. Although TSPs have been implicated in anti-tumor immunity and epithelial-mesenchymal transition (EMT) in several malignancies, their specific roles to colon cancer remain elusive. Addressing this knowledge gap is essential, as understanding the function of TSPs in colon cancer could identify new therapeutic targets and prognostic markers. Methods: Analyzing 1981 samples from 10 high-throughput datasets, including six bulk RNA-seq, three scRNA-seq, and one spatial transcriptome dataset, our study investigated the prognostic relevance, risk stratification value, immune heterogeneity, and cellular origin of TSPs, as well as their influence on cancer-associated fibroblasts (CAFs). Utilizing survival analysis, unsupervised clustering, and functional enrichment, along with multiple correlation analyses of the tumor-microenvironment (TME) via Gene Set Variation Analysis (GSVA), spatial localization, Monocle2, and CellPhoneDB, we provided insights into the clinical and cellular implications of TSPs. Results: First, we observed significant upregulation of THBS2 and COMP in colon cancer, both of which displayed significant prognostic value. Additionally, we detected a significant positive correlation between TSPs and immune cells, as well as marker genes of EMT. Second, based on TSPs expression, patients were divided into two clusters with distinct prognoses: the high TSPs expression group (TSPs-H) was characterized by pronounced immune and stromal cell infiltration, and notably elevated T-cell exhaustion scores. Subsequently, we found that THBS2 and COMP may be associated with the differentiation of CAFs into pan-iCAFs and pan-dCAFs, which are known for their heightened matrix remodeling activities. Moreover, THBS2 enhanced CAFs communication with vascular endothelial cells and monocyte-macrophages. CAFs expressing THBS2 (THBS2+ CAFs) demonstrated higher scores across multiple signaling pathways, including angiogenic, EMT, Hedgehog, Notch, Wnt, and TGF-ß, when compared to THBS2- CAFs. These observations suggest that THBS2 may be associated with stronger pro-carcinogenic activity in CAFs. Conclusions: This study revealed the crucial role of TSPs and the significant correlation between THBS2 and CAFs interactions in colon cancer progression, providing valuable insights for targeting TSPs to mitigate cancer progression.

Development of the neonatal pain response variable set: a mixed methods consensus process.

While over 40 neonatal pain assessment scales have been published, owing to a lack of consensus and standardized metrics, there are more than 100 assessment indicators with varying descriptors and quality differences. This study aims to reach a consensus on optimal and comprehensive variables for neonatal pain assessment, leading to the development of a multidimensional neonatal pain response variable set. This study consisted of three phases: (1) A literature review was conducted to identify influencing factors and assessment indicators of neonatal pain response. (2) Panel meetings involving neonatal healthcare professionals evaluated and screened factors and indicators to develop an initial draft of the variable set. (3) Through two rounds of Delphi study achieved consensus, and determined the neonatal pain response variable set. Through a literature review and a panel meeting, the identified factors and indicators were categorized into contextual, physiological, and behavioral variables, forming an initial draft of the variable set. Sixteen professionals participated in two rounds of the Delphi study, with response rates exceeding 70%, and authority coefficients surpassing 0.7 in both rounds. The final iteration of the variable set includes 9 contextual variables, 2 physiological variables, and 5 behavioral variables.   Conclusion: Neonatal pain response variable set developed in this study is scientific, comprehensive, and multidimensional, aligning with the characteristics of neonatal pain response and clinically applicable. The inclusion of contextual variables enhances the ability to confront the complexity of clinical environments and individual differences. It can provide a practical and theoretical basis for clinical research on neonatal pain assessment. What is Known: • Neonatal pain assessment relies on scales used by healthcare professionals currently. But there is no "gold standard" for neonatal pain assessment. • While over 40 neonatal pain assessment scales have been published, owing to a lack of consensus and standardized metrics, there are more than 100 assessment indicators with varying descriptors and quality differences. Most of scales overlook the clinical environment complexity individual differences in pain responses, diminishing the accuracy and applicability. What is New: • In addition to the commonly used physiological and behavioral variables in the scales, we have incorporated contextual variables to better address the complexity of clinical environments and individual differences in pain responses. • Through an evidence-based approach, developed a neonatal pain response variable set comprising 9 contextual variables, 2 physiological variables, and 5 behavioral variables.

Emerging Role of Sorting Nexin 17 in Human Health and Disease.

The distortion of the cellular membrane transport pathway has a profound impact on cell dynamics and can drive serious physiological consequences during the process of cell sorting. SNX17 is a member of the Sorting Nexin (SNX) family and plays a crucial role in protein sorting and transport in the endocytic pathway. SNX17, SNX27, and SNX31 belong to the SNX-FERM subfamily and possess the FERM domain, which can assist in endocytic transport and lysosomal degradation. The binding partners of SNX27 have been discovered to number over 100, and SNX27 has been linked to the development of Alzheimer's disease progression, tumorigenesis, cancer progression, and metastasis. However, the role and potential mechanisms of SNX17 in human health and disease remain poorly understood, and the function of SNX17 has not been fully elucidated. In this review, we summarize the structure and basic functions of SNX protein, focusing on providing current evidence of the role and possible mechanism of SNX17 in human neurodegenerative diseases and cardiovascular diseases.

The Microbiome Protocols eBook initiative: Building a bridge to microbiome research.

The Microbiome Protocols eBook (MPB) serves as a crucial bridge, filling gaps in microbiome protocols for both wet experiments and data analysis. The first edition, launched in 2020, featured 152 meticulously curated protocols, garnering widespread acclaim. We now extend a sincere invitation to researchers to participate in the upcoming 2nd version of MPB, contributing their valuable protocols to advance microbiome research.

Development and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study.

OBJECTIVE: This study aimed to develop and apply a nomogram with good accuracy to predict the risk of CRAB infections in neuro-critically ill patients. In addition, the difficulties and expectations of application such a tool in clinical practice was investigated. METHODS: A mixed methods sequential explanatory study design was utilized. We first conducted a retrospective study to identify the risk factors for the development of CRAB infections in neuro-critically ill patients; and further develop and validate a nomogram predictive model. Then, based on the developed predictive tool, medical staff in the neuro-ICU were received an in-depth interview to investigate their opinions and barriers in using the prediction tool during clinical practice. The model development and validation is carried out by R. The transcripts of the interviews were analyzed by Maxqda. RESULTS: In our cohort, the occurrence of CRAB infections was 8.63% (47/544). Multivariate regression analysis showed that the length of neuro-ICU stay, male, diabetes, low red blood cell (RBC) count, high levels of procalcitonin (PCT), and number of antibiotics ≥ 2 were independent risk factors for CRAB infections in neuro-ICU patients. Our nomogram model demonstrated a good calibration and discrimination in both training and validation sets, with AUC values of 0.816 and 0.875. Additionally, the model demonstrated good clinical utility. The significant barriers identified in the interview include "skepticism about the accuracy of the model", "delay in early prediction by the indicator of length of neuro-ICU stay", and "lack of a proper protocol for clinical application". CONCLUSIONS: We established and validated a nomogram incorporating six easily accessed indicators during clinical practice (the length of neuro-ICU stay, male, diabetes, RBC, PCT level, and the number of antibiotics used) to predict the risk of CRAB infections in neuro-ICU patients. Medical staff are generally interested in using the tool to predict the risk of CRAB, however delivering clinical prediction tools in routine clinical practice remains challenging.

The value of ripple mapping in the age of coherent mapping in scar-related atrial tachycardia.

BACKGROUND: An accurate display of scar-related atrial tachycardia (ATs) is a key determinant of ablation success. The efficacy of ripple mapping (RM) in identifying the mechanism and critical isthmus of scar-related ATs during coherent mapping is unknown. METHODS: A total of 97 patients with complex ATs who underwent radiofrequency catheter ablation at our center between October 2018 and September 2022 were included. ATs was mapped using a multielectrode mapping catheter on the CARTO3v7 CONFIDENCE module. Coherent and RM were used to identify the reentrant circuit. RESULTS: The mechanisms of 128 ATs were analyzed retrospectively (84 anatomic-reentrant ATs and 44 non-anatomic reentrant ATs). The median AT cycle length was 264 ± 25ms. The correct diagnosis was achieved in 83 ATs (68%) using only coherent mapping. Through coherent mapping plus RM, 114 ATs (84.2%) were correctly diagnosed (68% vs. 89%, p = .019). In non-anatomical reentrant ATs, 81% of the diagnostic rate was achieved by reviewing both coherent and ripple mapping compared to reviewing coherent mapping alone (81% vs. 52%, p = .03). Reviewing coherent mapping and ripple mapping showed a higher diagnostic rate in patients who underwent cardiac surgery than those with Coherent mapping alone (64% vs. 88%, p = .04). CONCLUSION: Coherent mapping combined with RM was superior to coherent mapping alone in identifying the mechanism of scar-related ATs post-cardiac surgery and non-anatomic reentrant ATs.

Genes associated with cellular senescence as diagnostic markers of major depressive disorder and their correlations with immune infiltration.

Background: Emerging evidence links cellular senescence to the pathogenesis of major depressive disorder (MDD), a life-threatening and debilitating mental illness. However, the roles of cellular senescence-related genes in MDD are largely unknown and were investigated in this study using a comprehensive analysis. Methods: Peripheral blood microarray sequencing data were downloaded from Gene Expression Omnibus (GEO) database and retrieved cellular senescence-related genes from CellAge database. A weighted gene co-expression network analysis was used to screen MDD-associated genes. Protein-protein interactions (PPI) were predicted based on STRING data, and four topological algorithms were used to identify hub genes from the PPI network. Immune infiltration was evaluated using CIBERSORT, followed by a correlation analysis between hub genes and immune cells. Results: A total of 84 cell senescence-related genes were differentially expressed in patients with MDD compared to healthy control participants. Among the 84 genes, 20 were identified to be associated with the MDD disease phenotype, and these genes were mainly involved in hormone-related signaling pathways (such as estrogen, steroid hormone, and corticosteroid) and immune and inflammatory pathways. Three genes, namely, JUN, CTSD, and CALR, which were downregulated in MDD, were identified as the hub genes. The expression of hub genes significantly moderate correlated with multiple immune cells, such as Tregs, NK cells, and CD4+ T cells, and the abundance of these immune cells markedly differed in MDD samples. Multiple microRNAs, transcription factors, and small-molecule drugs targeting hub genes were predicted to explore their molecular regulatory mechanisms and potential therapeutic value in MDD. Conclusion: JUN, CTSD, and CALR were identified as potential diagnostic markers of MDD and may be involved in the immunoinflammatory mechanism of MDD.

Perspective and challenges of mycorrhizal symbiosis in orchid medicinal plants.

The family Orchidaceae is of the most diverse taxon in the plant kingdom, and most of its members are highly valuable herbal medicines. Orchids have a unique mycorrhizal symbiotic relationship with specific fungi for carbohydrate and nutrient supplies in their whole lifecycle. The large-scale cultivation of the medicinal plant Gastodia elata is a successful example of using mycorrhizal symbiotic technology. In this review, we adopted G. elata and Dendrobium officinale as examples to describe the characteristics of orchid mycorrhiza and mycorrhizal benefits for host plants' growth and health (e.g. biotic and abiotic stress and secondary metabolite accumulation). The challenges in applying mycorrhizal technology to the cultivation of orchid medicinal plants in the future were also discussed. This review aims to serve as a theoretical guide for the cultivation of mycorrhizal technology in medicinal orchid plants.

Safety, pharmacokinetics, and food-effect of pivmecillinam after single- and multiple-dose in healthy Chinese subjects: a phase I study.

Urinary tract infection (UTI) is one of the most prevalent bacterial infectious diseases worldwide. However, the resistance of urinary pathogens to other UTI antibiotics such as trimethoprim and trimethoprim/sulphamethoxazole increased. Pivmecillinam is a prodrug of mecillinam, which is effective for the treatment of urinary tract infections. The purpose of this study was to assess the safety, and pharmacokinetics of pivmecillinam and mecillinam after single- and multiple-dose oral administration of pivmecillinam tablets in healthy Chinese subjects. The study also investigated the profile of urinary excretion of mecillinam, as well as the effect of food and gender on the pharmacokinetics of pivmecillinam and mecillinam. This study was a single-center, open-label phase I study carried out in three groups. In total, 34 subjects were included in the study: group 1-food effect study with pivmecillinam 200 mg (n = 12); group 2-single- and multiple-dose study with pivmecillinam 400 mg (n = 12); group 3-single dose study with pivmecillinam 600 mg (n = 10). The plasma and urine concentrations of pivmecillinam and mecillinam were measured, and their pharmacokinetics were calculated. Treatment-emergent adverse events were evaluated and recorded in safety assessments for three groups. No severe adverse events were found in this study. After a single dose of pivmecillinam was taken orally, the maximum plasma concentration (Cmax) and the area under the concentration-time curve (AUC) of pivmecillinam increased in a dose-proportional manner, nor did mecillinam. Food had significant effects on Cmax and AUC0-t of pivmecillinam and Cmax of mecillinam. The mean cumulative percentage of urine excretion of mecillinam at 0 to 24 h ranged from 35.5 to 44.0%. Urinary cumulative excretion is relative to the drug dose, but the diet and multiple-dose administration did not affect the urinary cumulative excretion rate. The safety and pharmacokinetics of pivmecillinam and mecillinam after single- (200/400/600 mg) or multiple-dose (400 mg) administration were demonstrated in healthy Chinese subjects. Food affected the pharmacokinetics of pivmecillinam and mecillinam.

Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning.

BACKGROUND: Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2-5 days conventionally to return the results from doctor's order. METHODS: It is a regional multi-center retrospective study in which patients with suspected bloodstream infections were divided into a positive and negative culture group. According to the positive results, patients were divided into the CRGNB group and other groups. We used the machine learning algorithm to predict whether the blood culture was positive and whether the pathogen was CRGNB once giving the order of blood culture. RESULTS: There were 952 patients with positive blood cultures, 418 patients in the CRGNB group, 534 in the non-CRGNB group, and 1422 with negative blood cultures. Mechanical ventilation, invasive catheterization, and carbapenem use history were the main high-risk factors for CRGNB bloodstream infection. The random forest model has the best prediction ability, with AUROC being 0.86, followed by the XGBoost prediction model in bloodstream infection prediction. In the CRGNB prediction model analysis, the SVM and random forest model have higher area under the receiver operating characteristic curves, which are 0.88 and 0.87, respectively. CONCLUSIONS: The machine learning algorithm can accurately predict the occurrence of ICU-acquired bloodstream infection and identify whether CRGNB causes it once giving the order of blood culture.

Application of a WeChat Mini Program to provide pharmaceutical care for cancer pain patients: A randomized controlled trial.

Objective: This study aimed to develop an individual WeChat Mini Program to provide pharmaceutical care to better manage cancer pain patients and to evaluate its feasibility and the differences in analgesic efficacy, medication adherence and safety versus conventional pharmacy interventions. Methods: In this parallel randomized clinical trial, 42 cancer pain patients were equally allocated into the experimental group and the control group. The experimental group received individualized pharmaceutical care based on the "Yao Nin You Wo" WeChat Mini Program, while the control group received conventional care during the 4-week period. Main outcomes contained pain scores, medication adherence, incidences and relief rates of breakthrough pain, and incidences of adverse events. Relief rates of pain were also calculated according to pain scores. Results: At the beginning of intervention, none of the pain scores and medication adherence showed relevant differences between the two groups (all P > .05). After intervention, the experimental group had significantly lower pain scores compared to the control group (P = .003). Breakthrough pain of both groups was alleviate; not only the incidence of breakthrough pain considerably was lower at 4 weeks than at baseline, but the relief rate of breakthrough in the experimental group was higher than that in the control group. Compared with the control group, the medication adherence rate of the experimental group was significantly improved (P = .02). Types of adverse events that happened in experimental and groups were similar, but the total incidence of adverse events in the experimental group was lower than that in the control group. Conclusions: WeChat Mini Program is a useful and facilitative tool with the potential to improve cancer pain self-management ability in discharged patients. In addition, pharmacists could play a key role through the Mini Program to connect with patients successfully by providing personalized pharmaceutical services.

Pain and daily interference among reproductive-age women with myofascial pelvic pain: Serial mediation roles of kinesiophobia, self-efficacy and pain catastrophizing.

BACKGROUND: Myofascial pelvic pain (MFPP), which is identified by tender points in the pelvic floor musculature, is a prevalent source of chronic pelvic pain in women. It may lead to physical and mental exhaustion, reproductive concerns, and coping difficulties in daily life and work than the disease itself. Pain-related cognitive processes can affect pain relief and quality of life. Kinesiophobia, self-efficacy and pain catastrophizing are frequently treated as mediators between pain and its related consequences. Greater kinesiophobia and pain catastrophizing have been shown to be associated with adverse functional outcomes, while higher self-efficacy has been related with improved quality of life. Regarding MFPP in females of childbearing age, it remains unclear whether the effects of kinesiophobia, self-efficacy and pain catastrophizing on daily interference are direct or indirect; the influence on each variable is, therefore, not entirely evident. AIM: The present study aimed to evaluate the relationship between pain and daily interference in reproductive-age women with MFPP through kinesiophobia, self-efficacy and pain catastrophizing, as well as to identify areas for future investigation and intervention based on the data collected from this population. METHODS: This is a multi-center cross-sectional study. The study was conducted from November 15, 2022 to November 10, 2023, 202 reproductive-age women with MFPP were recruited from 14 hospitals in ten provinces of China. The demographic variables, Brief Pain Inventory, Tampa Scale of Kinesiophobia, Pain Self-Efficacy Questionnaire, and Pain Catastrophizing Scale were used to measure the participants' related information. The data was described and analyzed using Descriptive analyses, Pearson correlation analysis, and Serial mediation modeling. RESULTS: Pain not only had a direct positive impact (B = 0.575; SE = 0.081; 95%CI: LL = 0.415, UL = 0.735) on daily interference, but also had an indirect impact on daily interference through the independent mediating role of pain catastrophizing (B = 0.088; SE = 0.028; 95%CI: LL = 0.038, UL = 0.148), the chain mediating of kinesiophobia and catastrophizing (B = 0.057; SE = 0.019; 95%CI: LL = 0.024, UL = 0.098), and the four-stage serial mediating of kinesiophobia, self-efficacy and catastrophizing (B = 0.013; SE = 0.006; 95%CI: LL = 0.003, UL = 0.027). The proposed serial mediation model showed a good fit with the collected data. CONCLUSION: The findings illustrate the significance of addressing pain catastrophizing and kinesiophobia (especially catastrophizing), and increasing self-efficacy in pain therapy, and suggest that functional recovery be integrated into pain therapy for reproductive-age women suffering from MFPP.

Diode laser hemorrhoidoplasty versus conventional Milligan-Morgan and Ferguson hemorrhoidectomy for symptomatic hemorrhoids: Meta-analysis.

Conventional hemorrhoidectomy is the mainstay of treatment for symptomatic haemorrhoids, but reported postoperative complications remains the main concern. On the contrary, with its minimally invasive nature, laser hemorrhoidoplasty showed the potential to reduce postoperative complications and discomfort. Therefore, we performed a systemic review and meta-analysis to evaluate the postoperative outcome of laser hemorrhoidoplasty compared to conventional hemorrhoidectomies, including Milligan-Morgan and Ferguson techniques. Of all studies from PubMed, EMBASE, Cochrane database, and Google Scholar, we included 17 trials with 1196 patients, of whom 596 (49.8 %) underwent laser hemorrhoidoplasty and 600 (50.2 %) underwent conventional hemorrhoidectomy. The primary outcomes were operative blood loss and postoperative haemorrhage, and the secondary outcomes were the operative time, postoperative pain score, complications, and haemorrhoid recurrence. In this study, we found that laser hemorrhoidoplasty showed benefits in operative blood loss (weighted mean difference [WMD]: -16.43 ml, 95 % confidence interval [CI]: -23.82 to -9.04), postoperative hemorrhage/bleeding (odds ratio [OR]: 0.16, 95 % CI: 0.10 to 0.28), operative time (WMD: -12.42 min, 95 % CI: -14.56 to -10.28), postoperative pain score on day 1 (WMD: -2.50, 95 % CI: -3.13 to -1.88), and anal stenosis (OR: 0.14, 95 % CI: 0.03 to 0.65) in comparison with conventional hemorrhoidectomy. However, incidence of fecal/flatus incontinence, urinary retention and hemorrhoid recurrence were not significantly different between the 2 groups. Consistent results were found in 5 subgroup analyses, including studies with low risk of bias, studies using 1470 nm laser, and studies using 980 nm laser, studies conducted in Asia, and studies conducted in Europe and America.

KLRG1-expressing CD8+ T cells are exhausted and polyfunctional in patients with chronic hepatitis B.

Killer cell lectin-like receptor G1 (KLRG1) has traditionally been regarded as an inhibitory receptor of T cell exhaustion in chronic infection and inflammation. However, its exact role in hepatitis B virus (HBV) infection remains elusive. CD8+ T cells from 190 patients with chronic hepatitis B were analyzed ex vivo for checkpoint and apoptosis markers, transcription factors, cytokines and subtypes in 190 patients with chronic hepatitis B. KLRG1+ and KLRG1- CD8+ T cells were sorted for transcriptome analysis. The impact of the KLRG1-E-cadherin pathway on the suppression of HBV replication mediated by virus-specific T cells was validated in vitro. As expected, HBV-specific CD8+ T cells expressed higher levels of KLRG1 and showed an exhausted molecular phenotype and function. However, despite being enriched for the inhibitory molecules, thymocyte selection-associated high mobility group box protein (TOX), eomesodermin (EOMES), and Helios, CD8+ T cells expressing KLRG1 produced significant levels of tumour necrosis factor (TNF)-α, interferon (IFN)-γ, perforin, and granzyme B, demonstrating not exhausted but active function. Consistent with the in vitro phenotypic assay results, RNA sequencing (RNA-seq) data showed that signature effector T cell and exhausted T cell genes were enriched in KLRG1+ CD8+ T cells. Furthermore, in vitro testing confirmed that KLRG1-E-cadherin binding inhibits the antiviral efficacy of HBV-specific CD8+ T cells. Based on these findings, we concluded that KLRG1+ CD8+ T cells are not only a terminally exhausted subgroup but also exhibit functional diversity, despite inhibitory signs in HBV infection.

Shenfu injection targets the PI3K-AKT pathway to regulate autophagy and apoptosis in acute respiratory distress syndrome caused by sepsis.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by an exaggerated response to infection. In the lungs, one of the most susceptible organs, this can manifest as acute respiratory distress syndrome (ARDS). Shenfu (SF) injection is a prominent traditional Chinese medicine used to treat sepsis. However, the exact mechanism of its action has rarely been reported in the literature. PURPOSE: In the present study, we detected the protective effect of SF injection on sepsis-induced ARDS and explored its underlying mechanism. METHODS: We investigated the potential targets and regulatory mechanisms of SF injections using a combination of network pharmacology and RNA sequencing. This study was conducted both in vivo and in vitro using a mouse model of ARDS and lipopolysaccharide (LPS)-stimulated MLE-12 cells, respectively. RESULTS: The results showed that SF injection could effectively inhibit inflammation, oxidative stress, and apoptosis to alleviate LPS-induced ARDS. SF inhibited the PI3K-AKT pathway, which controls autophagy and apoptosis. Subsequently, MLE-12 cells were treated with 3-methyladenine to assess its effects on autophagy and apoptosis. Additional experiments were conducted by adding rapamycin, an mTOR antagonist, or SC79, an AKT agonist, to investigate the effects of SF injection on autophagy, apoptosis, and the PI3K-AKT pathway. CONCLUSION: Overall, we found that SF administration could enhance autophagic activity, reduce apoptosis, suppress inflammatory responses and oxidative stress, and inhibit the PI3K-AKT pathway, thus ameliorating sepsis-induced ARDS.

Brief psychotic disorder related to areca nut use: a case report.

Background: Areca Nut (AN) is the fourth most commonly abused drug after nicotine, ethanol, and caffeine, due to its psychoactive properties provided by bioactive substances. Although previous studies have demonstrated AN's anxiolytic-like activity and potential benefits in ameliorating symptoms of depression and schizophrenia, there remains limited awareness regarding its association with brief psychotic disorder. Case presentation: This case report presents the clinical profile of a 30-year-old male patient with a history of betel nut chewing for the past 2 years, who exhibited sudden onset delusions, hallucinations, and disorganized speech and behavior upon increasing the dosage of betel nut consumption. The patient displayed a positive response to antipsychotic treatment, and symptoms resolved upon discontinuation of betel nut consumption. However, one month after discharge, the patient experienced a recurrence of auditory hallucinations upon resuming betel nut chewing. Through counseling and support, the importance of abstaining from betel nut use and maintaining medication compliance was emphasized, resulting in no recurrence of psychotic symptoms during the six-month follow-up. Conclusions: This case report highlights the related role of betel nut with brief psychotic disorder, especially when the chewing dosage is abruptly increased. It underscores the importance of considering betel nut as a potential precipitant related to acute psychiatric disorders in clinical settings.

Multi-cohort study on cytokine and chemokine profiles in the progression of COVID-19.

Various substances in the blood plasma serve as prognostic indicators of the progression of COVID-19. Consequently, multi-omics studies, such as proteomic and metabolomics, are ongoing to identify accurate biomarkers. Cytokines and chemokines, which are crucial components of immune and inflammatory responses, play pivotal roles in the transition from mild to severe illness. To determine the relationship between plasma cytokines and the progression of COVID-19, we used four study cohorts to perform a systematic study of cytokine levels in patients with different disease stages. We observed differential cytokine expression between patients with persistent-mild disease and patients with mild-to-severe transformation. For instance, IL-4 and IL-17 levels significantly increased in patients with mild-to-severe transformation, indicating differences within the mild disease group. Subsequently, we analysed the changes in cytokine and chemokine expression in the plasma of patients undergoing two opposing processes: the transition from mild to severe illness and the transition from severe to mild illness. We identified several factors, such as reduced expression of IL-16 and IL-18 during the severe phase of the disease and up-regulated expression of IL-10, IP-10, and SCGF-ß during the same period, indicative of the deterioration or improvement of patients' conditions. These factors obtained from fine-tuned research cohorts could provide auxiliary indications for changes in the condition of COVID-19 patients.