Inflammation alters the neural stem cell (NSC) lineage from neuronal to astrogliogenesis. However, the underlying mechanism is elusive. Autophagy contributes to the decline in adult hippocampal neurogenesis under E. coli lipopolysaccharide (LPS) stimulation. SRY-box transcription Factor 2 (SOX2) is critical for NSC self-renewal and proliferation. In this study, we investigated the role of SOX2 in induced autophagy and hippocampal adult neurogenesis under LPS stimulation. LPS (5 ng•100 g -1 •hour -1 for 7 days) was intraperitoneally infused into male Sprague–Dawley rats (8 weeks old) to induce mild systemic inflammation. Beclin 1 and autophagy protein 12 (Atg12) were significantly upregulated concurrent with decreased numbers of Ki67- and doublecortin (DCX)-positive cells in the dentate gyrus. Synchronically, the levels of phospho(p)-mTOR, the p-mTOR/mTOR ratio, p-P85s6k, and the p-P85s6k/P85s6k ratio were suppressed. In contrast, SOX2 expression was increased. The fluorescence micrographs indicated that the colocalization of Beclin 1 and SOX2 was increased in the subgranular zone (SGZ) of the dentate gyrus. Moreover, increased S100β-positive astrocytes were colocalized with SOX2 in the SGZ. Intracerebroventricular infusion of 3-methyladenine (an autophagy inhibitor) effectively prevented the increases in Beclin 1, Atg12, and SOX2. The SOX2 + -Beclin 1 + and SOX2 + -S100β + cells were reduced. The levels of p-mTOR and p-P85s6k were enhanced. Most importantly, the number of DCX-positive cells was preserved. Altogether, these data suggest that LPS induced autophagy to inactivate the mTOR/P85s6k pathway, resulting in a decline in neural differentiation. SOX2 was upregulated to facilitate the NSC lineage, while the autophagy milieu could switch the SOX2-induced NSC lineage from neurogenesis to astrogliogenesis.

Traditional acute kidney injury (AKI) classifications, which are centered around semi-anatomical lines, can no longer capture the complexity of AKI. By employing strategies to identify predictive and prognostic enrichment targets, experts could gain a deeper comprehension of AKI’s pathophysiology, allowing for the development of treatment-specific targets and enhancing individualized care. Subphenotyping, which is enriched with AKI biomarkers, holds insights into distinct risk profiles and tailored treatment strategies that redefine AKI and contribute to improved clinical management. The utilization of biomarkers such as N-acetyl-β-D-glucosaminidase, tissue inhibitor of metalloprotease-2·insulin-like growth factor-binding protein 7, kidney injury molecule-1, and liver fatty acid-binding protein garnered significant attention as a means to predict subclinical AKI. Novel biomarkers offer promise in predicting persistent AKI, with urinary motif chemokine ligand 14 displaying significant sensitivity and specificity. Furthermore, they serve as predictive markers for weaning patients from acute dialysis and offer valuable insights into distinct AKI subgroups. The proposed management of AKI, which is encapsulated in a structured flowchart, bridges the gap between research and clinical practice. It streamlines the utilization of biomarkers and subphenotyping, promising a future in which AKI is swiftly identified and managed with unprecedented precision. Incorporating kidney biomarkers into strategies for early AKI detection and the initiation of AKI care bundles has proven to be more effective than using care bundles without these novel biomarkers. This comprehensive approach represents a significant stride toward precision medicine, enabling the identification of high-risk subphenotypes in patients with AKI.

PURPOSE: This study aims to gain in-depth understanding of nurses' perspectives of working in an overcrowded emergency. METHODS: Symbolic interactionism and Charmaz's construction of grounded theory were used. Purposive sampling at the start of the study and a further theoretical sampling by snowball technique were used to recruit 40 registered nurses (RN) to participate in in-depth, semi-structured interviews betweenMay and November, 2014. Data analysis included analytic techniques of initial, focused and theoretical coding. RESULTS: Study findings showed searching for work role is derived by the themes of Finding the role of positioning in Emergency Department (ED), Recognizing causes of ED overcrowding, and Confined working environment. Nurses' work experience which represents the RNs not gained control over their work, as care actions influenced by the problematic overcrowded circumstance of the ED environment. CONCLUSION: The findings fill a gap in knowledge about how RNs experience their work role in the context of an overcrowded Emergency Department in Taiwan. Arising from the study result include taking account of nurses' perspectives when planning staff/patient ratios, strategies to reduce waiting time and ensure that clients receive appropriate care.
Clinical Coding ; Crowding ; Emergencies* ; Emergency Service, Hospital* ; Grounded Theory ; Humans ; Nurses ; Statistics as Topic ; Taiwan*

INTRODUCTIONThe exposed section of a traditional nasogastric (NG) tube can interfere with patients' social activities and thereby result in distress. This study was conducted to evaluate the feasibility and safety of a novel two-piece NG tube for patients with dysphagia.

METHODSTen patients with dysphagia were recruited between November 2011 and May 2012. Patients who were unconscious or in critical condition, had a traditional NG tube < 50 cm or > 60 cm in fixed length, or were unable to follow instructions or sign consent forms were excluded. The two-piece NG tube, which was placed in the patients for one week, comprised a removable external tube that can be joined to an internal tube via a T-connector, which was placed close to the naris. Events related to safety (e.g. nasal pressure sores, number of unplanned extubation, displacement and spontaneous migration of the NG tube, other unpredictable injuries) and effectiveness (e.g. liquid food spills, tube obstruction, perfusion rate, other adverse circumstances) were assessed daily.

RESULTSAll patients received feeding without complication using the two-piece NG tube and none experienced premature removal of the tube. No serious NG tube complications or malfunctions were observed.

CONCLUSIONThe results of this study indicate that the two-piece NG feeding tube is a feasible option for patients with dysphagia. Future improvements to the connector may help enhance its performance. A rigorous randomised controlled trial to examine the effects of the two-piece NG tube on patients' quality of life and quality of medical care is being planned.

Aged ; Aged, 80 and over ; Deglutition Disorders ; therapy ; Enteral Nutrition ; instrumentation ; methods ; Equipment Design ; Female ; Humans ; Intubation, Gastrointestinal ; adverse effects ; methods ; Male ; Middle Aged

PURPOSE: Professional hemodialysis (HD) nursing tends to be task-oriented and lack consideration of the client's viewpoint. This study aims to interpret the process of psychosocial adaptation to dealing with HD in people with end-stage renal disease (ESRD). METHODS: A grounded theory guided this study. Theoretical sampling included 15 people receiving HD at the HD center of a hospital from July to November 2010. Participants received an information sheet in writing, a verbal invitation, and informed consent forms before interviews were conducted. A constant comparative data analysis was analyzed using open, axial and selective coding. The computer software ATLAS.ti assisted data management. Credibility, transferability, dependability, and confirmability ensured the rigor of study process. RESULTS: This study identified "adopting life with hemodialysis", which captures the process of the psychosocial adaptation in people with ESRD as one transformation. Four categories that evolved from "adopting HD life" are (a) slipping into, (b) restricted to a renal world, (c) losing self control, and (d) stuck in an endless process. CONCLUSIONS: The findings of this investigation indicate the multidimensional requirements of people receiving maintenance dialysis, with an emphasis on the deficiency in psychosocial and emotional care. The study's findings contribute to clinical practice by increasing the understanding of the experience of chronic HD treatment from the recipient's viewpoint. The better our understanding, the better the care provided will meet the needs of the people receiving HD.
*Adaptation, Psychological ; Adult ; Aged ; Female ; Humans ; Kidney Failure, Chronic/*psychology/therapy ; Male ; Middle Aged ; Qualitative Research ; Renal Dialysis/*psychology

BACKGROUND/AIMS: Cellulitis is a common infectious disease. However, the risk of cellulitis in cirrhotic patients is not well established, and whether liver cirrhosis is a risk factor for cellulitis remains unknown. This study evaluated the relationship between cellulitis and liver cirrhosis. METHODS: The National Health Insurance Database, which was derived from the Taiwan National Health Insurance program, was used to identify patients. The study group consisted of 39,966 patients with liver cirrhosis, and the comparison group consisted of 39,701 randomly selected age- and sex-matched patients. RESULTS: During the 3-year follow-up period, 2,674 (6.7%) patients with liver cirrhosis developed cellulitis, and 1,587 (4.0%) patients without liver cirrhosis developed cellulitis (p<0.001). Following a Cox's regression analysis adjusted for age, sex, and underlying medical disorders, the cirrhotic patients demonstrated a greater risk for the occurrence of cellulitis than the non-cirrhotic patients during the 3-year period (hazard ratio [HR], 1.66; 95% confidence interval [CI], 1.55 to 1.77; p<0.001). Additionally, cirrhotic patients with complications also had a greater risk for the occurrence of cellulitis than those patients without complications (HR, 1.23; 95% CI, 1.14 to 1.33; p<0.001). CONCLUSIONS: We conclude that cirrhotic patients have a greater risk of cellulitis than non-cirrhotic patients.
Cellulitis ; Communicable Diseases ; Follow-Up Studies ; Humans ; Liver ; Liver Cirrhosis ; National Health Programs ; Risk Factors ; Taiwan

Percutaneous transluminal coronary angioplasty with metal stent placement has become a well-developed treatment modality for coronary stenotic lesions. Although infection involving implanted stents is rare, it can, however, occur with high morbidity and mortality. We describe herein a case of an inserted coronary stent that was infected and complicated with recurrent stent thrombosis, pseudoaneurysm formation and severe sepsis. Despite repeated intervention and bypass surgery, the patient died from severe sepsis.
Aneurysm, False ; Angioplasty, Balloon, Coronary ; Humans ; Mortality ; Myocardial Infarction ; Sepsis ; Stents* ; Thrombosis*

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.