Application of machine learning-based models to boost the predictive power of the SPAN index.

BACKGROUND: This study re-explored the predictive validity of Stroke Prognostication using Age and National Institutes of Health Stroke Scale (SPAN) index in patients who received different treatments for acute ischemic stroke (AIS) and developed machine learning-boosted outcome prediction models. METHODS: We evaluated the prognostic relevance of SPAN index in patients with AIS who received intravenous tissue-type plasminogen activator (IV-tPA), intra-arterial thrombolysis (IAT) or non-thrombolytic treatments (non-tPA), and applied machine learning algorithms to develop SPAN-based outcome prediction models in a cohort of 2145 hospitalized AIS patients. The performance of the models was assessed and compared using the area under the receiver operating characteristic curves (AUCs). RESULTS: SPAN index ≥100 was associated with higher mortality rate and higher modified Rankin Scale at discharge in AIS patients who received the different treatments. Compared to the lower AUCs for the SPAN-alone model across all groups, the AUCs of the logistic regression-boosted model were 0.838, 0.857, 0.766 and 0.875 for the whole cohort, non-tPA, IV-tPA and IAT groups, respectively. Similarly, the AUCs of the generated artificial neural network were 0.846, 0.858, 0.785 and 0.859 for the whole cohort, non-tPA, IV-tPA and IAT groups, respectively, while for gradient boosting decision tree model, we computed 0.850, 0.863, 0.779 and 0.815. CONCLUSIONS: SPAN index has prognostic relevance in patients with AIS who received different treatments. The generated machine learning-based models exhibit good performance for predicting the functional recovery of AIS; thus, their proposed clinical application to aid outcome prediction and decision-making for the patients with AIS.

Plasma extracellular vesicles tau and ß-amyloid as biomarkers of cognitive dysfunction of Parkinson's disease.

The contribution of circulatory tau and ß-amyloid in Parkinson's disease (PD), especially the cognitive function, remains inconclusive. Extracellular vesicles (EVs) cargo these proteins throughout the bloodstream after they are directly secreted from many cells, including neurons. The present study aims to investigate the role of the plasma EV-borne tau and ß-amyloid as biomarkers for cognitive dysfunction in PD by investigating subjects with mild to moderate stage of PD (n = 116) and non-PD controls (n = 46). Plasma EVs were isolated, and immunomagnetic reduction-based immunoassay was used to assess the levels of α-synuclein, tau, and ß-amyloid 1-42 (Aß1-42) within the EVs. Artificial neural network (ANN) models were then applied to predict cognitive dysfunction. We observed no significant difference in plasma EV tau and Aß1-42 between PD patients and controls. Plasma EV tau was significantly associated with cognitive function. Moreover, plasma EV tau and Aß1-42 were significantly elevated in PD patients with cognitive impairment when compared to PD patients with optimal cognition. The ANN model used the plasma EV α-synuclein, tau, and Aß1-42, as well as the patient's age and gender, as predicting factors. The model achieved an accuracy of 91.3% in identifying cognitive dysfunction in PD patients, and plasma EV tau and Aß1-42 are the most valuable factors. In conclusion, plasma EV tau and Aß1-42 are significant markers of cognitive function in PD patients. Combining with the plasma EV α-synuclein, age, and sex, plasma EV tau and Aß1-42 can identify cognitive dysfunction in PD patients. This study corroborates the prognostic roles of plasma EV tau and Aß1-42 in PD.

Adipose-derived stem cell induced-tissue repair or wound healing is mediated by the concomitant upregulation of miR-21 and miR-29b expression and activation of the AKT signaling pathway.

BACKGROUND: Adipose-derived stem cells (ADSCs), a subpopulation of mesenchymal stem cells, are characterized by their potential to differentiate into multiple cell lineages. Due to their abundance and relative ease of procurement, ADSCs are widely used for tissue repair and regeneration. However, the molecular mechanisms of the therapeutic effect of ADSCs remain unknown. METHODS: MicroRNAs have emerged as important signaling molecules in skin wound healing, and their roles in ADSC-based therapies must be addressed. Here, we investigated the potential of ADSCs in improving cutaneous wound healing in vitro and in vivo. RESULTS: We simulated the microenvironment of the wound site by coculturing human dermal fibroblasts (HDFs) with ADSCs. We found that cocultured HDFs expressed significantly higher levels of miR-29b and miR-21 and had higher proliferation and migration rates than ADSCs cultured without HDFs. Moreover, increased expression of Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type III Alpha 1 Chain (COL3A1), alpha-smooth muscle actin (α-SMA), vascular endothelial growth factor (VEGF), and Phosphoinositide 3-kinase (PI3K), p-Akt and decreased expression of Phosphatase and tensin homolog (PTEN) and matrix metalloproteinase (MMP)-1 was detected, suggesting extracellular remodeling and fibroblast activation and proliferation. We validated the in vitro results by using a rodent skin excisional wound model and implanted ADSC sheets in the wound. Compared with the controls, wounds implanted with ADSC sheets had significantly higher rates of wound-closure; increased expression of α-SMA, VEGF, PI3k, PTEN, COL1A1, and COL3A1; decreased expression of PTEN and MMP1; and upregulated levels of miR-29b and miR-21 in the skin. CONCLUSION: In summary, we evidenced that ADSCs facilitate the increase in miR-29b and miR-21 levels and promote the activation and proliferation of dermal fibroblasts and extracellular matrix (ECM) remodeling, with the associated release of VEGF. Thus, the ADSC-mediated increase in microRNAs is essential in tissue repair and has a therapeutic potential in cutaneous wound healing.

A cross-country comparison of malaria policy as a premise for contextualized appropriation of foreign aid in global health.

BACKGROUND: Foreign aid continues to play an essential role in health sector development in low-resource countries, particularly in terms of providing a vital portion of their health expenditures. However, the relationship between foreign aid allocation and malaria policy formulation and/or implementation among state aid recipients remains unknown. METHODS: Publicly available data were collected with the country as observational unit to set up the conceptual framework. The quality and strength of relationships between socioeconomic, environmental and institutional parameters were estimated by Pearson and polychoric correlations. A correlation matrix was explored by factor analysis. RESULTS: The first policy index captured policy variation related to malaria burden and development assistance. Funding per capita from all international agencies was correlated with malaria burden, whereas governmental funding for national malaria programmes per capita was not. The second policy index captured variation beyond malaria endemicity and country size. Variation was found to be related to international country risk instruments and funding from the United States Agency for International Development President's Malaria Initiative. CONCLUSIONS: Not all agencies involved in malaria policy allocate assistance in alignment with the gross domestic product and malaria burden. While the country size does not negatively impact malaria burden, it does account for greater development assistance per capita from selected international agencies. Novel policy indexes describe complex relationships between malaria policy, international foreign aid and socioeconomic parameters. Small countries have distinct environmental and sociopolitical properties.

Monospecific antibody targeting of CDH11 inhibits epithelial-to-mesenchymal transition and represses cancer stem cell-like phenotype by up-regulating miR-335 in metastatic breast cancer, in vitro and in vivo.

BACKGROUND: Metastasis is a leading cause of breast cancer mortality. The induction of epithelial-to-mesenchymal transition (EMT) and complex oncogenic signaling is a vital step in the evolution of highly metastatic and therapeutically-intractable breast cancer; necessitating novel target discovery or development of therapeutics that target metastatic breast cells (MBCs). METHODS: To achieve this, this study employs a combination of in silico bioinformatics analyses, protein and transcript analyses, drug sensitivity assays, functional assays and animal studies. RESULTS: The present study identified CDH11 as an inductor and/or facilitator of metastatic signaling, and biomarker of poor prognosis in MBCs. Furthermore, we showed that in the presence of CDH11-rich cancer-associated fibroblasts (CAFs), MCF7 and MDA-MB-231 MBC cell lines acquired enhanced metastatic phenotype with increased CDH11, ß-catenin, vimentin, and fibronectin (FN) expression. We also demonstrated, for the first time to the best of our knowledge that exposure to anti-CDH11 antibody suppresses metastasis, reduces CDH11, FN and ß-catenin expression, and abrogate the cancer stem cell (CSC)-like traits of MBC cells. Interestingly, ectopic expression of miR-335 suppressed CDH11, ß-catenin and vimentin expression, in concert with attenuated metastatic and CSC potentials of the MBC cells; conversely, inhibition of miR-335 resulted in increased metastatic potential. Finally, corroborating the in silica and in vitro findings, in vivo assays showed that the administration of anti-CDH11 antibody or miR-335 mimic suppressed tumorigenesis and inhibited cancer metastasis. CONCLUSIONS: These findings validate our hypotheses that miR-335 mediates anti-CDH11 antibody therapy response and that an enhanced miR-335/CDH11 ratio elicits marked suppression of the MBC CSC-like and metastatic phenotypes, thus revealing a therapeutically-exploitable inverse correlation between CDH11-enhanced CSC-like and metastatic phenotype and miR-335 expression in MBCs. Thus, we highlight the therapeutic promise of humanized anti-CDH11 antibodies or miR-335-mimic, making a case for their clinical application as efficacious therapeutic option in patients with MBC.

Upregulated SCUBE2 expression in breast cancer stem cells enhances triple negative breast cancer aggression through modulation of notch signaling and epithelial-to-mesenchymal transition.

BACKGROUND: Metastatic and/or recurrent breast carcinomas are leading causes of cancer-related death worldwide. Breast cancer stem cells (BCSCs) have been implicated in cancer metastases and progression, thus, the need for the discovery and development of effective BCSCs-specific therapies against metastatic and triple negative breast cancer (TNBC). The expression of SCUBE2, originally identified in vascular endothelia, then in several non-endothelial cell types, is downregulated in invasive breast carcinomas. However, the role of SCUBE2 in BCSCs remains unknown. This present study investigated the probable involvements of SCUBE2 in BCSCs and TNBC metastasis. METHODS: The mRNA expression of SCUBE2, stemness and EMT markers in MDA-MB-231 and Hs578T tumorspheres or adherent cells were evaluated by qRT-PCR and microarray analyses. Using gene overexpression, in vitro migration and invasion assays, as well as in vivo bioluminescence imaging, we evaluated the role of SCUBE2 in MDA-MB-231 or Hs578T BCSCs. Western blot and cytotoxicity assays helped identify and validate SCUBE2 molecular target(s) and inhibitor(s). RESULTS: Concurrently increased SCUBE2 expression and cell motility were observed in TNBC tumorspheres compared to the parental adherent cells. SCUBE2 overexpression augmented BCSCs motility in vitro, and enhanced TNBC metastasis in vivo. While SCUBE2 overexpression activated Notch signaling its downregulation suppressed Notch signal effectors NICD, Jagged 1, HEY1, and HES1. CONCLUSIONS: We demonstrate that SCUBE2 expression is upregulated in BCSCs, promote EMT and enhance TNBC metastasis by activating Notch signaling. This reveals a potential druggable molecular target and an effective therapeutic strategy against metastatic and aggressive TNBC.

HDAC inhibitor suppresses proliferation and tumorigenicity of drug-resistant chronic myeloid leukemia stem cells through regulation of hsa-miR-196a targeting BCR/ABL1.

Failure to eradicate hematologic cancer stem cells (hCSCs) associated with resistance to tyrosine kinase inhibitors such as imatinib mesylate (IM) in chronic myeloid leukemia (CML) patients is a clinical challenge that highlights the need for discovering and developing therapeutic strategies that target and eliminate these hCSCs. Herein, we document the essential role of the interplay between histone deacetylases (HDACs), the polycomb group proteins, pluripotency transcription factors and the cell cycle machinery in the viability, oncogenicity and therapy evasion of IM-resistant CD34+/CD38- CML stem cells (CML-SCs). Using the proteotranscriptomic analyses of wild type (WT), CD34+/CD38+ and CD34+/CD38- K562 or KU812 cells, we showed that CD34+/CD38- SC-enriched cells expressed significantly higher levels of CD44, CD133, SOX2, Nanog, OCT4, and c-Myc mRNA and/or protein, compared to the WT or CD34+/CD38+ cells. This overexpression of stemness factors in the CD34+/CD38- cells positively correlates with enhanced expression of HDACs 1-6, cyclins D1/D3, CDK 2, 4 and 6, while inversely correlating with p18, p21 and p27. Enhanced co-expression of MDR1, survivin, and Bcl-2 proteins, supposedly involved in IM-resistance and CML-SC survival, was detected in both CD34+/CD38- and CD34+/CD38+ cells. Importantly, we demonstrate that in synergism with IM, SAHA reverses the tumor-promoting proteotranscriptomic profile noted above and elicits marked inhibition of the CML-SCs by up-regulating hsa-miR-196a expression. This hsa-miR-196a-mediated SC-limiting effect of SAHA is dose-dependent, low-dosed, cell cycle-modulating and accompanied by leukemic SC apoptosis. Interestingly, this anti-SC therapeutic activity of SAHA in vitro was reproduced in vivo using the NOD-SCID mice models.

4-Acetylantroquinonol B suppresses autophagic flux and improves cisplatin sensitivity in highly aggressive epithelial cancer through the PI3K/Akt/mTOR/p70S6K signaling pathway.

Targeting residual self-renewing, chemoresistant cancerous cells may represent the key to overcoming therapy resistance. The entry of these quiescent cells into an activated state is associated with high metabolic demand and autophagic flux. Therefore, modulating the autophagy pathway in aggressive carcinomas may be beneficial as a therapeutic modality. In this study, we evaluated the anti-tumor activities of 4-acetylantroquinonol B (4-AAQB) in chemoresistant ovarian cancer cells, particularly its ability to modulate autophagy through autophagy-related genes (Atg). Atg-5 was overexpressed in invasive ovarian cancer cell lines and tissue (OR: 5.133; P=0.027) and depleting Atg-5 in ES-2 cell lines significantly induced apoptosis. 4-AAQB effectively suppressed viability of various subtypes of ovarian cancer. Cells with higher cisplatin-resistance were more responsive to 4-AAQB. For the first time, we demonstrate that 4-AAQB significantly suppress Atg-5 and Atg-7 expression with decreased autophagic flux in ovarian cancer cells via inhibition of the PI3K/Akt/mTOR/p70S6K signaling pathway. Similar to Atg-5 silencing, 4-AAQB-induced autophagy inhibition significantly enhanced cell death in vitro. These results are comparable to those of hydroxychloroquine (HCQ). In addition, 4-AAQB/cisplatin synergistically induced apoptosis in ovarian cancer cells. In vivo, 4-AAQB/cisplatin also significantly induced apoptosis and autophagy in an ES-2 mouse xenografts model. This is the first report demonstrating the efficacy of 4-AAQB alone or in combination with cisplatin on the suppression of ovarian cancer via Atg-5-dependent autophagy. We believe these findings will be beneficial in the development of a novel anti-ovarian cancer therapeutic strategy.

Methoxyphenyl chalcone sensitizes aggressive epithelial cancer to cisplatin through apoptosis induction and cancer stem cell eradication.

Current standard chemotherapy for late stage ovarian cancer is found unsuccessful due to relapse after completing the regimens. After completing platinum-based chemotherapy, 70% of patients develop relapse and resistance. Recent evidence proves ovarian cancer stem cells as the source of resistance. Therefore, treatment strategy to target both cancer stem cells and normal stem cells is essential. In this study, we developed a novel chalcone derivative as novel drug candidate for ovarian cancer treatment. We found that methoxyphenyl chalcone was effective to eliminate ovarian cancer cells when given either as monotherapy or in combination with cisplatin. We found that cell viability of ovarian cancer cells was decreased through apoptosis induction. Dephosphorylation of Bcl2-associated agonist of cell death protein was increased after methoxyphenyl chalcone treatment that led to activation of caspases. Interestingly, this drug also worked as a G2/M checkpoint modulator with alternative ways of DNA damage signal-evoking potential that might work to increase response after cisplatin treatment. In addition, methoxyphenyl chalcone was able to suppress autophagic flux and stemness regulator in ovarian spheroids that decreased their survival. Therefore, combination of methoxyphenyl chalcone and cisplatin showed synergistic effects. Taken together, we believe that our novel compound is a promising novel therapeutic agent for effective clinical treatment of ovarian cancer.

Aberrant KDM5B expression promotes aggressive breast cancer through MALAT1 overexpression and downregulation of hsa-miR-448.

BACKGROUND: Triple negative breast cancers (TNBC) possess cell dedifferentiation characteristics, carry out activities connate to those of cancer stem cells (CSCs) and are associated with increased metastasis, as well as, poor clinical prognosis. The regulatory mechanism of this highly malignant phenotype is still poorly characterized. Accruing evidence support the role of non-coding RNAs (ncRNAs) as potent regulators of CSC and metastatic gene expression, with their dysregulation implicated in tumorigenesis and disease progression. METHODS: In this study, we investigated TNBC metastasis, metastasis-associated genes and potential inhibitory mechanisms using bioinformatics, tissue microarray analyses, immunoblotting, polymerase chain reaction, loss and gain of gene function assays and comparative analyses of data obtained. RESULTS: Compared with other breast cancer types, the highly metastatic MDA-MB-231 cells concurrently exhibited increased expression levels of Lysine-specific demethylase 5B protein (KDM5B) and long non-coding RNA (lncRNA), MALAT1, suggesting their functional association. KDM5B-silencing in the TNBC cells correlated with the upregulation of hsa-miR-448 and led to suppression of MALAT1 expression with decreased migration, invasion and clonogenic capacity in vitro, as well as, poor survival in vivo. This projects MALAT1 as a mediator of KDM5B oncogenic potential and highlights the critical role of this microRNA, lncRNA and histone demethylase in cancer cell motility and metastatic colonization. Increased expression of KDM5B correlating with disease progression and poor clinical outcome in breast cancer was reversed by hsa-miR-448. CONCLUSIONS: Our findings demonstrate the critical role of KDM5B and its negative regulator hsa-miR-448 in TNBC metastasis and progression. Hsa-miR-448 disrupting KDM5B-MALAT1 signalling axis and associated activities in TNBC cells, projects it as a putative therapeutic factor for selective eradication of TNBC cells. Graphical abstract KDM5B, MALAT1 and hsa-miR-448 are active looped components of the epigenetic poculo mortis in aggressive breast cancer.

Implantation of the Jarvik 2000® left ventricular assist device using the miniaturized extracorporeal circulation system - a case report.

Myocardial failure is generally considered to be a progressive, irreversible medical condition with characteristic ventricular enlargement, spatial alteration of the heart chambers, diminished cardiac inotropy and resultant dysfunctional, mechanically inefficient heart.The Jarvik 2000®, similar to the mechanical pump, is an electrically powered, axial-flow left ventricular assist device (LVAD) designed to enhance the function of the chronically failing heart and, consequently, normalize the cardiac output for a long period of time.We report the case of 70-year-old man with congestive dilated cardiomyopathy and bioprosthetic mitral valve who underwent surgical implantation of the Jarvik 2000® LVAD, using the miniaturized extracorporeal circulation (MECC) system.The LVAD was implanted through a left thoracotomy and the MECC system was used to avoid intraoperative spontaneous hemodynamic instability and/or malignant ventricular arrhythmia. The circulatory support with the MECC system was optimal and no complication in terms of hemodynamic instability and perioperative bleeding was recorded. The MECC system obliterated the adverse effects associated with conventional extracorporeal circulation, which are often fatal in critically-ill patients.

Cancer Care Disparities: Overcoming Barriers to Cancer Control in Low- and Middle-Income Countries.

The rising global burden of cancer disproportionately affects low- and middle-income countries (LMICs), which account for over half of new patients and cancer deaths worldwide. However, LMIC health systems face profound challenges in implementing comprehensive cancer control programs because of limited health care resources and infrastructure. This analytical review explores contemporary evidence on barriers undermining cancer control efforts in resource-constrained LMIC settings. We conducted a comprehensive literature review of peer-reviewed evidence on cancer control challenges and solutions tailored to resource-limited settings. We provide a conceptual framework categorizing these barriers across the cancer care continuum, from raising public awareness to palliative care. We also appraise evidence-based strategies proposed to overcome identified obstacles to cancer control in the published literature, including task-shifting to nonspecialist health workers, strategic prioritization of high-impact interventions, regional collaborations, patient navigation systems, and novel financing mechanisms. Developing strong primary care delivery platforms integrated with specialized oncology care, alongside flexible and resilient health system models tailored to local contexts, will be critical to curb the rising tide of cancer in resource-limited settings. Urgent global commitments and investments are needed to dismantle barriers and expand access to prevention, early detection, diagnosis, treatment, and palliation services for all patients with cancer residing in LMICs as an ethical imperative. The review elucidates priority areas for policy actions, health systems strengthening, and future research to guide international efforts toward more equitable cancer control globally.

Beyond diagnosis: Leveraging routine blood and urine biomarkers to predict severity and functional outcome in acute ischemic stroke.

Background: The initial severity of acute ischemic stroke (AIS) is a crucial predictor of the disease outcome. In this study, blood and urine biomarkers from patients with AIS were measured to estimate stroke severity and predict long-term stroke outcomes. Methods: The medical records of patients with AIS between October 2016 and May 2020 were retrospectively analyzed. The relationships of blood and urine biomarkers with stroke severity at admission were evaluated in patients with AIS. Predictive models for initial stroke severity and long-term prognosis were then developed using a panel of identified biomarkers. Results: A total of 2229 patients were enrolled. Univariate analysis revealed 12 biomarkers associated with the National Institutes of Health Stroke Scale scores at admission. The area under the curve values for predicting initial stroke severity and long-term prognosis on the basis of these biomarkers were 0.7465, 0.7470, and 0.8061, respectively. Among multiple tested machine-learning, eXtreme gradient boosting exhibited the highest effectiveness in predicting 90-day modified Rankin Scale scores. SHapley Additive exPlanations revealed fasting glucose, albumin, hemoglobin, prothrombin time, and urine-specific gravity to be the top five most crucial biomarkers. Conclusion: These findings demonstrate that clinically available blood and urine biomarkers can effectively estimate initial stroke severity and predict long-term prognosis in patients with AIS. Our results provide a scientific basis for developing tailored clinical treatment and management strategies for AIS, through incorporating liquid biomarkers into stroke risk assessment and patient care protocols for patients with AIS.

The intricate interplay between cancer stem cells and cell-of-origin of cancer: implications for therapeutic strategies.

Background: Cancer stem cells (CSCs) have emerged as pivotal players in tumorigenesis, disease progression, and resistance to therapies. Objective: This comprehensive review delves into the intricate relationship between CSCs and the cell-of-origin in diverse cancer types. Design: Comprehensive review of thematically-relevant literature. Methods: We explore the underlying molecular mechanisms that drive the conversion of normal cells into CSCs and the impact of the cell-of-origin on CSC properties, tumor initiation, and therapeutic responses. Moreover, we discuss potential therapeutic interventions targeting CSCs based on their distinct cell-of-origin characteristics. Results: Accruing evidence suggest that the cell-of-origin, the cell type from which the tumor originates, plays a crucial role in determining the properties of CSCs and their contribution to tumor heterogeneity. Conclusion: By providing critical insights into the complex interplay between CSCs and their cellular origins, this article aims to enhance our understanding of cancer biology and pave the way for more effective and personalized cancer treatments.

Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks.

Background: Accurate estimation of prolonged length of hospital stay after acute ischemic stroke provides crucial information on medical expenditure and subsequent disposition. This study used artificial neural networks to identify risk factors and build prediction models for a prolonged length of stay based on parameters at the time of hospitalization. Methods: We retrieved the medical records of patients who received acute ischemic stroke diagnoses and were treated at a stroke center between January 2016 and June 2020, and a retrospective analysis of these data was performed. Prolonged length of stay was defined as a hospital stay longer than the median number of days. We applied artificial neural networks to derive prediction models using parameters associated with the length of stay that was collected at admission, and a sensitivity analysis was performed to assess the effect of each predictor. We applied 5-fold cross-validation and used the validation set to evaluate the classification performance of the artificial neural network models. Results: Overall, 2,240 patients were enrolled in this study. The median length of hospital stay was 9 days. A total of 1,101 patients (49.2%) had a prolonged hospital stay. A prolonged length of stay is associated with worse neurological outcomes at discharge. Univariate analysis identified 14 baseline parameters associated with prolonged length of stay, and with these parameters as input, the artificial neural network model achieved training and validation areas under the curve of 0.808 and 0.788, respectively. The mean accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of prediction models were 74.5, 74.9, 74.2, 75.2, and 73.9%, respectively. The key factors associated with prolonged length of stay were National Institutes of Health Stroke Scale scores at admission, atrial fibrillation, receiving thrombolytic therapy, history of hypertension, diabetes, and previous stroke. Conclusion: The artificial neural network model achieved adequate discriminative power for predicting prolonged length of stay after acute ischemic stroke and identified crucial factors associated with a prolonged hospital stay. The proposed model can assist in clinically assessing the risk of prolonged hospitalization, informing decision-making, and developing individualized medical care plans for patients with acute ischemic stroke.

Artificial neural network-boosted Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) score accurately predicts outcome in cardiac arrest patients treated with targeted temperature management.

Existing prognostic models to predict the neurological recovery in patients with cardiac arrest receiving targeted temperature management (TTM) either exhibit moderate accuracy or are too complicated for clinical application. This necessitates the development of a simple and generalizable prediction model to inform clinical decision-making for patients receiving TTM. The present study explores the predictive validity of the Cardiac Arrest Survival Post-resuscitation In-hospital (CASPRI) score in cardiac arrest patients receiving TTM, regardless of cardiac event location, and uses artificial neural network (ANN) algorithms to boost the prediction performance. This retrospective observational study evaluated the prognostic relevance of the CASPRI score and applied ANN to develop outcome prediction models in a cohort of 570 patients with cardiac arrest and treated with TTM between 2014 and 2019 in a nationwide multicenter registry in Taiwan. In univariate logistic regression analysis, the CASPRI score was significantly associated with neurological outcome, with the area under the receiver operating characteristics curve (AUC) of 0.811. The generated ANN model, based on 10 items of the CASPRI score, achieved a training AUC of 0.976 and validation AUC of 0.921, with the accuracy, precision, sensitivity, and specificity of 89.2%, 91.6%, 87.6%, and 91.2%, respectively, for the validation set. CASPRI score has prognostic relevance in patients who received TTM after cardiac arrest. The generated ANN-boosted, CASPRI-based model exhibited good performance for predicting TTM neurological outcome, thus, we propose its clinical application to improve outcome prediction, facilitate decision-making, and formulate individualized therapeutic plans for patients receiving TTM.

lnc-IL7R Expression Reflects Physiological Pulmonary Function and Its Aberration Is a Putative Indicator of COPD.

Despite rapidly evolving pathobiological mechanistic demystification, coupled with advances in diagnostic and therapeutic modalities, chronic obstructive pulmonary disease (COPD) remains a major healthcare and clinical challenge, globally. Further compounded by the dearth of available curative anti-COPD therapy, it is posited that this challenge may not be dissociated from the current lack of actionable COPD pathognomonic molecular biomarkers. There is accruing evidence of the involvement of protracted 'smoldering' inflammation, repeated lung injury, and accelerated lung aging in enhanced predisposition to or progression of COPD. The relatively novel uncharacterized human long noncoding RNA lnc-IL7R (otherwise called LOC100506406) is increasingly designated a negative modulator of inflammation and regulator of cellular stress responses; however, its role in pulmonary physiology and COPD pathogenesis remains largely unclear and underexplored. Our previous work suggested that upregulated lnc-IL7R expression attenuates inflammation following the activation of the toll-like receptor (TLR)-dependent innate immune system, and that the upregulated lnc-IL7R is anti-correlated with concomitant high PM2.5, PM10, and SO2 levels, which is pathognomonic for exacerbated/aggravated COPD in Taiwan. In the present study, our quantitative analysis of lnc-IL7R expression in our COPD cohort (n = 125) showed that the lnc-IL7R level was significantly correlated with physiological pulmonary function and exhibited COPD-based stratification implications (area under the curve, AUC = 0.86, p < 0.001). We found that the lnc-IL7R level correctly identified patients with COPD (sensitivity = 0.83, specificity = 0.83), precisely discriminated those without emphysematous phenotype (sensitivity = 0.48, specificity = 0.89), and its differential expression reflected disease course based on its correlation with the COPD GOLD stage (r = −0.59, p < 0.001), %LAA-950insp (r = −0.30, p = 0.002), total LAA (r = −0.35, p < 0.001), FEV1(%) (r = 0.52, p < 0.001), FVC (%) (r = 0.45, p < 0.001), and post-bronchodilator FEV1/FVC (r = 0.41, p < 0.001). Consistent with other data, our bioinformatics-aided dose−response plot showed that the probability of COPD decreased as lnc-IL7R expression increased, thus, corroborating our posited anti-COPD therapeutic potential of lnc-IL7R. In conclusion, reduced lnc-IL7R expression not only is associated with inflammation in the airway epithelial cells but is indicative of impaired pulmonary function, pathognomonic of COPD, and predictive of an exacerbated/ aggravated COPD phenotype. These data provide new mechanistic insights into the ailing lung and COPD progression, as well as suggest a novel actionable molecular factor that may be exploited as an efficacious therapeutic strategy in patients with COPD.

Blood Neurofilament Light Chain in Parkinson's Disease: Comparability between Parkinson's Progression Markers Initiative (PPMI) and Asian Cohorts.

Elevated blood neurofilament light chain (NfL), which indicates the loss of neuronal integrity, is increasingly implicated as a diagnostic and outcome-predicting biomarker for neurological diseases. However, its diagnostic implication for Parkinson's disease (PD) remains unclear, with conflicting data reported by several studies. This may result from the demographic heterogeneity of the studied cohorts. The present study investigated the comparability of blood NfL between a domestic, single-centered PD cohort from Shuang Ho Hospital (SHH) in Taiwan, with the large international, multi-center cohort, Parkinson's Progression Markers Initiative (PPMI). In the SHH PD cohort, with 61 people with PD (PwP) and 25 healthy non-PD controls, plasma NfL unexpectedly was significantly higher in the control group than PwP (14.42 ± 13.84 vs. 9.39 ± 6.91 pg/mL, p = 0.05). Interestingly, subgroup analysis revealed a non-significant difference of plasma NfL levels in male PwP compared with controls (8.58 ± 6.21 vs. 7.25 ± 4.43 pg/mL, p =0.575), whereas NfL levels were significantly lower in the female PwP group than in their healthy control peers (10.29 ± 7.62 vs. 17.79 ± 15.52 pg/mL, p = 0.033). Comparative analysis of the SHH and PPMI cohorts revealed a comparable gender-stratified distribution of blood NfL based on approximate theoretical quantiles. After adjusting for age and gender, no apparent difference in NfL value distribution was observed between the SHH and PPMI cohorts' control or PD groups. Significant downregulation of blood NfL levels were positively correlated with a reduced probability of having a PD diagnosis in both cohorts. These results demonstrated that the adjustment for demographic background enhances comparability between cohorts, and may be required to eliminate covariate/confounder-associated conflict in blood NfL results between different PD studies. This experience may be beneficial to other researchers around the world who are saddled with limited study participants, especially as data from small cohort sizes are often at greater risk of being skewed by specific variables.

SUMO-Activating Enzyme Subunit 1 (SAE1) Is a Promising Diagnostic Cancer Metabolism Biomarker of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is one of the most diagnosed malignancies and a leading cause of cancer-related mortality globally. This is exacerbated by its highly aggressive phenotype, and limitation in early diagnosis and effective therapies. The SUMO-activating enzyme subunit 1 (SAE1) is a component of a heterodimeric small ubiquitin-related modifier that plays a vital role in SUMOylation, a post-translational modification involving in cellular events such as regulation of transcription, cell cycle and apoptosis. Reported overexpression of SAE1 in glioma in a stage-dependent manner suggests it has a probable role in cancer initiation and progression. In this study, hypothesizing that SAE1 is implicated in HCC metastatic phenotype and poor prognosis, we analyzed the expression of SAE1 in several cancer databases and to unravel the underlying molecular mechanism of SAE1-associated hepatocarcinogenesis. Here, we demonstrated that SAE1 is over-expressed in HCC samples compared to normal liver tissue, and this observed SAE1 overexpression is stage and grade-dependent and associated with poor survival. The receiver operating characteristic analysis of SAE1 in TCGA-LIHC patients (n = 421) showed an AUC of 0.925, indicating an excellent diagnostic value of SAE1 in HCC. Our protein-protein interaction analysis for SAE1 showed that SAE1 interacted with and activated oncogenes such as PLK1, CCNB1, CDK4 and CDK1, while simultaneously inhibiting tumor suppressors including PDK4, KLF9, FOXO1 and ALDH2. Immunohistochemical staining and clinicopathological correlate analysis of SAE1 in our TMU-SHH HCC cohort (n = 54) further validated the overexpression of SAE1 in cancerous liver tissues compared with 'normal' paracancerous tissue, and high SAE1 expression was strongly correlated with metastasis and disease progression. The oncogenic effect of upregulated SAE1 is associated with dysregulated cancer metabolic signaling. In conclusion, the present study demonstrates that SAE1 is a targetable cancer metabolic biomarker with high potential diagnostic and prognostic implications for patients with HCC.

The JAK inhibitor Tofacitinib inhibits structural damage in osteoarthritis by modulating JAK1/TNF-alpha/IL-6 signaling through Mir-149-5p.

BACKGROUND: Osteoarthritis (OA), a common articular bone degenerative disease, is exacerbated by proinflammatory cytokine signaling. Mounting evidence suggests that epigenetic modifiers, namely microRNAs (miRs), are dysregulated in articular chondrocytes (ACs) during OA. METHODS: An initial database search led to the identification of miR-149-5p, which was downregulated in clinical OA samples and contributed to chronic inflammation, by increasing TNF-α/IL-6 signaling within the synovium, and OA progression. RESULTS: We overexpressed miR-149-5p in the human chondrocyte cell lines C20A4 and C28/I2 to examine its role in chondrocyte hypertrophy and osteoclastogenesis and found a significant decrease in IL-6 expression, an increase in SOX9 expression, and a reduction in chondrocyte hypertrophy. We evaluated the therapeutic effects of tofacitinib (JAK inhibitor) by suppressing inflammation and restoring miR-149-5p expression. Tofacitinib-treated C20A4 and C28/I2 cells had a significantly lower expression of JAK/IL-6/TNF-α and an increased level of miR-149-5p. Notably, tofacitinib treatment reduced AC hypertrophy and secretion of RANKL and IL-6. Finally, an OA mouse model was used to evaluate the therapeutic potential of tofacitinib. Intra-articular injection of tofacitinib significantly lowered arthritis scores and bone degradation in treated mice compared with their control counterparts. CONCLUSION: We show for the first time that tofacitinib suppresses the expression level of JAK1/TNF-α/IL-6 by upregulating miR-149-5p level. Our findings revealed the functional association between proinflammatory JAK1/TNF-α/IL-6 signaling and ACs development and highlight the therapeutic potential of tofacitinib in OA.