Critical Target Research Articles

VTA μ-opioidergic neurons facilitate low sociability in protracted opioid withdrawal.

Opioids initiate dynamic maladaptation in brain reward and affect circuits that occur throughout chronic exposure and withdrawal that persist beyond cessation. Protracted withdrawal is characterized by negative affective behaviors such as heightened anxiety, irritability, dysphoria, and anhedonia, which pose a significant risk factor for relapse. While the ventral tegmental area (VTA) and mu-opioid receptors (MORs) are critical for opioid reinforcement, the specific contributions of VTAMOR neurons in mediating protracted withdrawal-induced negative affect is not fully understood. In our study, we elucidate the role of VTAMOR neurons in mediating negative affect and altered brain-wide neuronal activities following opioid exposure and withdrawal in male and female mice. Utilizing a chronic oral morphine administration model, we observe increased social deficit, anxiety-related, and despair-like behaviors during protracted withdrawal. VTAMOR neurons show heightened neuronal FOS activation at the onset of withdrawal and connect to an array of brain regions that mediate reward and affective processes. Viral re-expression of MORs selectively within the VTA of MOR knockout mice demonstrates that the disrupted social interaction observed during protracted withdrawal is facilitated by this neural population, without affecting other protracted withdrawal behaviors. Lastly, VTAMORs contribute to heightened neuronal FOS activation in the anterior cingulate cortex (ACC) in response to an acute morphine challenge, suggesting their unique role in modulating ACC-specific neuronal activity. These findings identify VTAMOR neurons as critical modulators of low sociability during protracted withdrawal and highlight their potential as a mechanistic target to alleviate negative affective behaviors associated with opioid withdrawal.

Jiawei Duhuo Jisheng Mixture Mitigates Osteoarthritis Progression in Rabbits by Inhibiting Inflammation: A Network Pharmacology and Experimental Approach.

Knee osteoarthritis (KOA) is a common degenerative joint disease characterized by cartilage degradation, inflammation, and pain. Traditional Chinese Medicine, including JDJM (a herbal formula derived from the renowned Du Huo Ji Sheng Tang), has been used to alleviate symptoms of KOA, but its underlying mechanisms remain unclear. This study aims to elucidate the potential therapeutic mechanisms of JDJM in treating KOA through network pharmacology, weighted gene co-expression network analysis (WGCNA), molecular docking, and experimental validation in animal models. The active compounds of JDJM were identified through TCMSP database searches, and their potential targets were predicted using network pharmacology. WGCNA was employed to identify key modules and hub genes associated with KOA. Molecular docking was performed to assess the binding affinities of key compounds to critical inflammatory targets. Molecular dynamics (MD) simulations were used to evaluate the stability of the protein-ligand complexes. An experimental KOA model in rabbits was used to validate the therapeutic effects of JDJM. Histopathological examinations and inflammatory marker analyses were conducted to confirm the findings. Network pharmacology and WGCNA analyses identified 21 key targets and pathways potentially involved in the therapeutic effects of JDJM. Molecular docking results showed that Glyasperin C had the highest docking scores with EGF and IL-1β, followed by Stigmasterol with IL-6, Myricanone with INS, and Sesamin with VEGFA. MD simulations confirmed the stability of these protein-ligand complexes, indicating strong and stable interactions. In the rabbit KOA model, JDJM treatment significantly improved knee joint morphology and reduced the levels of inflammatory markers, such as IL-6 and TNF-α. Histopathological analysis revealed reduced cartilage degradation and inflammation in the JDJM-treated group compared to controls. JDJM exhibits promising anti-inflammatory and cartilage-protective effects, making it a potential therapeutic option for KOA patients. Further experimental and clinical studies are warranted to confirm these findings and translate them into clinical practice.</p>.

Mechanism of action of the Banxia–Xiakucao herb pair in sleep deprivation: New comprehensive evidence from network pharmacology, transcriptomics and molecular biology experiments

Chinese herb pairs are the most basic and compressed examples of Chinese herbal combinations and can be used to effectively explain the fundamental concepts of traditional Chinese medicine prescriptions. These pairings have gained significant interest due to their subtle therapeutic benefits, minimal side effects, and efficacy in treating complicated chronic conditions. The Banxia-Xiakucao Chinese herb pair (BXHP) consists of Pinellia ternata (Thunb.) Breit. (Banxia) and Prunella vulgaris L. (Xiakucao). This formula was documented in The Medical Classic of the Yellow Emperor approximately 2000 years ago，and clinical research has demonstrated that BXHP effectively treats insomnia. This study aimed to evaluate the efficacy and therapeutic mechanism of the BXHP through a comprehensive strategy involving network pharmacology, molecular docking, transcriptomics, and molecular biology experimental validation. The composition of BXHP was characterized using the UPLC-Q-TOF-MS. The active compounds were screened to find drug-likeness compounds by analyzing the ADME data. To predict the molecular mechanism of BXHP in sleep deprivation (SD) by network pharmacology and molecular docking. We established a rat model of SD and the in vivo efficacy of BXHP was verified through the pentobarbital sodium righting reflex test, behavioral assays, enzyme-linked immunosorbent assay, transmission electron microscopy, HE staining, and Nissl staining, and the underlying molecular mechanism of BXHP in SD was revealed through transcriptomic and bioinformatic analyses in conjunction with quantitative real-time PCR, Western blot, and immunofluorescence staining. In the present study, we showed for the first time that BXHP reduced sleep latency, prolongs sleep duration, and improves anxiety; lowered serum CORT, IL6, TNF-α and MDA levels; decreased hypothalamic Glu levels; and elevated hypothalamic GABA and 5-HT levels in SD rats. We found 16 active compounds that acted on 583 targets, 145 of which are related to SD. By modularly dissecting the PPI network, we discovered three critical targets, Akt1, CREB1, and PRKACA, all of which play important roles in the effects of BXHP on SD. Molecular docking resulted in the identification of 16 active compounds that strongly bind to key targets. The results of GO and KEGG enrichment analyses of network pharmacology and transcriptomics focused on both the regulation of circadian rhythm and the cAMP signaling pathway, which strongly demonstrated that BXHP affects SD via the cAMP-PKA-CREB-Circadian rhythm pathway. Molecular biology experiments verified this hypothesis. Following BXHP administration, PKA and CREB phosphorylation levels were elevated in SD rats, the cAMP-PKA-CREB signaling pathway was activated, the expression levels of the biological clock genes CLOCK, p-BMAL1/BMAL1, and PER3 were increased, and the rhythmicity of the biological clock was improved. The active compounds in BXHP can activate the cAMP-PKA-CREB-Circadian rhythm pathway, improve the rhythmicity of the biological clock, promote sleep and ameliorate anxiety, which suggests that BXHP improves SD through a multicomponent, multitarget, multipathway mechanism. This study is important for the development of herbal medicines and clinical therapies for improving sleep deprivation.

Quantifying the interrelationships between physical, social, and cognitive-emotional components of mental fitness using digital technology

Mental fitness is a construct that goes beyond a simple focus on subjective emotional wellbeing to encompass more broadly our ability to think, feel, and act to achieve what we want in our daily lives. The measurement and monitoring of multiple (often interacting) domains is crucial to gain a holistic and complete insight into an individual’s mental fitness. We aimed to demonstrate the capability of a new mobile app to characterise the mental fitness of a general population of Australians and to quantify the interrelationships among different domains of mental fitness. Cross-sectional data were collected from 4901 adults from the general population of Australians engaged in work or education who used a mobile app (Innowell) between September 2021 and November 2022. Individuals completed a baseline questionnaire comprised of 26 questions across seven domains of mental fitness (i.e., physical activity, sleep and circadian rhythms, nutrition, substance use, daily activities, social connection, psychological distress). Network analysis was applied at both a domain-level (e.g., 7 nodes representing each cluster of items) and an individual item-level (i.e., 26 nodes representing all questionnaire items). Only 612 people (12%) were functioning well across all domains. One quarter (n = 1204, 25%) had only one problem domain and most (n = 3085, 63%) had multiple problem domains. The two most problematic domains were physical activity (n = 2631, 54%) and social connection (n = 2151, 44%), followed closely by daily activity (n = 1914, 39%). At the domain-level, the strongest association emerged between psychological distress and daily activity (r = 0.301). Psychological distress was the most central node in the network (as measured by strength and expected influence), followed closely by daily activity, sleep and circadian rhythms and then social connection. The item-level network revealed that the nodes with the highest centrality in the network were: hopelessness, depression, functional impairment, effortfulness, subjective energy, worthlessness, and social connectedness. Social connection, sleep and circadian rhythms, and daily activities may be critical targets for intervention due to their widespread associations in the overall network. While psychological distress was not among the most common problems, its centrality may indicate its importance for indicated prevention and early intervention. We showcase the capability of a new mobile app to monitor mental fitness and identify the interrelationships among multiple domains, which may help people develop more personalised insights and approaches.

ECtHR: Verein KlimaSeniorinnen Schweiz and Others v. Switzerland (Application No. 53600/20, 9 April 2024)

The present paper focuses on the analysis of the landmark decision of the European Court of Human Rights in which the Court has, for the first time, ruled on human rights violation due to climate change. It begins with the description of the convention as a so-called living instrument that aims at the interpretation of the European Convention on Human Rights taking into account the current social circumstances and challenges, such as the growing need for environmental protection and addressing climate change. In the judgment in question, the Court held that Switzerland had violated the applicant's rights due to insufficient legislative measures to protect individuals from the adverse effects of climate change. As a result of the long-awaited but unconventional conclusion, the judgment has become the target of much criticism. The paper thus concentrates on the main seemingly innovative or rather surprising pillars of the judgment, such as the court's determination of locus standi, the scope of a state's positive obligations in the context of climate change and its related margin of appreciation, as well as the unprecedented consideration of scientific evidence. The paper concludes by summarising the possible implications of the court's arguments for similar future cases, which will undoubtedly increase in number.

Arsenic activated GLUT1-mTORC1/HIF-1α-PKM2 positive feedback networks promote proliferation and migration of bladder epithelial cells

Arsenic (As) is recognized as a potent environmental contaminant associated with bladder carcinogenesis. However, its molecular mechanism remains unclear. Metabolic reprogramming is one of the hallmarks of cancer and is as a central feature of malignancy. Here, we performed the study of cross-talk between the mammalian target of rapamycin complex 1 (mTORC1)/ Hypoxia-inducible factor 1 alpha (HIF-1α) pathway and aerobic glycolysis in promoting the proliferation and migration of bladder epithelial cells treated by arsenic in vivo and in vitro. We demonstrated that arsenite promoted N-methyl-N-nitrosourea (MNU)-induced tumor formation in the bladder of rats and the malignant behavior of human ureteral epithelial (SV-HUC-1) cell. We found that arsenite positively regulated the mTORC1/HIF-1α pathway through glucose transporter protein 1 (GLUT1), which involved in the malignant progression of bladder epithelial cells relying on glycolysis. In addition, pyruvate kinase M2 (PKM2) increased by arsenite reduced the protein expressions of succinate dehydrogenase (SDH) and fumarate hydratase (FH), leading to the accumulation of tumor metabolites of succinate and fumarate. Moreover, heat shock protein (HSP)90, functioning as a chaperone protein, stabilized PKM2 and thereby regulated the proliferation and aerobic glycolysis in arsenite treated SV-HUC-1 cells. Taken together, these results provide new insights into mTORC1/HIF-1α and PKM2 networks as critical molecular targets that contribute to the arsenic-induced malignant progression of bladder epithelial cells.

Synthesis, characterization, in vitro and in silico assessment of novel diclofenac derivative metal complexes

A novel hydrazone ligand was synthesized by condensing diclofenac hydrazide with salicylaldehyde. This ligand was then used to create complexes with cobalt(II), nickel(II), copper(II), gadolinium(III), lanthanum(III), and silver(I). Structural characterization of these compounds was achieved through various techniques, including nuclear magnetic resonance spectroscopy, infrared spectroscopy, ultraviolet-visible spectroscopy, mass spectrometry, elemental analysis, thermal analysis, magnetic susceptibility measurements, electron spin resonance spectroscopy, X-ray diffraction, and conductivity measurements. The inhibitory effects of the synthesized compounds on cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2) enzymes, critical targets for anti-inflammatory drugs, were assessed. Notably, the cobalt(II) and silver(I) complexes exhibited high selectivity for inhibiting COX-2, with selectivity indices of 118.75 and 105.00, respectively. The antitumor potential of the compounds was evaluated against MCF-7 (breast cancer) and HepG-2 (liver cancer) cell lines. The copper(II) and gadolinium(III) complexes demonstrated the highest efficacy, significantly inhibiting the growth of both cancer cell lines with half-maximal inhibitory concentration (IC50) values as low as 0.37 µM and 0.58 µM (MCF-7) and 0.35 µM and 0.67 µM (HepG-2), respectively. These complexes outperformed the original ligand in inhibiting cancer cell growth. In silico studies, using the SwissADME web tool and AutoDocke Vina, corroborated the experimental findings and provided insights into the compounds' physicochemical properties, pharmacokinetics, drug-likeness, and potential binding interactions with COX-1, COX-2, and the target proteins in the cancer cell lines.

A comparative analysis of NADPH supply strategies in Saccharomyces cerevisiae: Production of d-xylitol from d-xylose as a case study

Enhancing the supply of the redox cofactor NADPH in metabolically engineered cells is a critical target for optimizing the synthesis of many product classes, such as fatty acids or terpenoids. In S. cerevisiae, several successful approaches have been developed in different experimental contexts. However, their systematic comparison has not been reported. Here, we established the reduction of xylose to xylitol by an NADPH-dependent xylose reductase as a model reaction to compare the efficacy of different NADPH supply strategies in the course of a batch fermentation, in which glucose and ethanol are sequentially used as carbon sources and redox donors. We show that strains overexpressing the glucose-6-phosphate dehydrogenase Zwf1 perform best, producing up to 16.9 g L−1 xylitol from 20 g L−1 xylose in stirred tank bioreactors. The beneficial effect of increased Zwf1 activity is especially pronounced during the ethanol consumption phase. The same notion applies to the deletion of the aldehyde dehydrogenase ALD6 gene, albeit at a quantitatively lower level. Reduced expression of the phosphoglucose isomerase Pgi1 and heterologous expression of the NADP+-dependent glyceraldehyde-3-phosphate dehydrogenase Gdp1 from Kluyveromyces lactis acted synergistically with ZWF1 overexpression in the presence of glucose, but had a detrimental effect after the diauxic shift. Expression of the mitochondrial NADH kinase Pos5 in the cytosol likewise improved the production of xylitol only on glucose, but not in combination with enhanced Zwf1 activity. To demonstrate the generalizability of our observations, we show that the most promising strategies – ZWF1 overexpression and deletion of ALD6 - also improve the production of l-galactonate from d-galacturonic acid. Therefore, we expect that these findings will provide valuable guidelines for engineering not only the production of xylitol but also of diverse other pathways that require NADPH.

The Hypothesis and Research on the Regulation of Mouse Feeding Behavior by Astrocytes in the Lateral Hypothalamic Area

Numerous studies have shown that the central nervous system plays a crucial role in regulating feeding behavior [1]. Within the central nervous system, many nuclei and neural circuitry are involved in regulating feeding behavior, such as the ventral tegmental area (VTA), lateral hypothalamus (LH), tuberomammillary nucleus (TN), and amygdala (CeA). Among these, the lateral hypothalamus is a critical target for the regulation of homeostatic feeding. Previous studies on LH regulation of feeding behavior have mostly focused on neurons and neural circuits, with relatively fewer studies on astrocytes.

Deriving general structure–activity/selectivity relationship patterns for different subfamilies of cyclin-dependent kinase inhibitors using machine learning methods

Cyclin-dependent kinases (CDKs) play essential roles in regulating the cell cycle and are among the most critical targets for cancer therapy and drug discovery. The primary objective of this research is to derive general structure–activity relationship (SAR) patterns for modeling the selectivity and activity levels of CDK inhibitors using machine learning methods. To accomplish this, 8592 small molecules with different binding affinities to CDK1, CDK2, CDK4, CDK5, and CDK9 were collected from Binding DB, and a diverse set of descriptors was calculated for each molecule. The supervised Kohonen networks (SKN) and counter propagation artificial neural networks (CPANN) models were trained to predict the activity levels and therapeutic targets of the molecules. The validity of models was confirmed through tenfold cross-validation and external test sets. Using selected sets of molecular descriptors (e.g. hydrophilicity and total polar surface area) we derived activity and selectivity maps to elucidate local regions in chemical space for active and selective CDK inhibitors. The SKN models exhibited prediction accuracies ranging from 0.75 to 0.94 for the external test sets. The developed multivariate classifiers were used for ligand-based virtual screening of 2 million random molecules of the PubChem database, yielding areas under the receiver operating characteristic curves ranging from 0.72 to 1.00 for the SKN model. Considering the persistent challenge of achieving CDK selectivity, this research significantly contributes to addressing the issue and underscores the paramount importance of developing drugs with minimized side effects.

Suppression of YAP Ameliorates Cartilage Degeneration in Ankle Osteoarthritis via Modulation of the Wnt/β-Catenin Signaling Pathway.

Ankle osteoarthritis is a relatively understudied condition and the molecular mechanisms involved in its development are not well understood. This investigation aimed to explore the role and underlying molecular mechanisms of Yes-associated protein (YAP) in rat ankle osteoarthritis. The results demonstrated that YAP expression levels were abnormally increased in the ankle osteoarthritis cartilage model. In addition, knockdown of YAP expression was shown to hinder the imbalance in ECM metabolism induced by IL-1β in chondrocytes, as demonstrated by the regulation of matrix metalloproteinase (MMP)-3, MMP-9, and MMP-13, a disintegrin, metalloprotease with thrombospondin motifs, aggrecan, and collagen II expression. Additional studies revealed that downregulation of YAP expression markedly inhibited the overexpression of β-catenin stimulated by IL-1β. Furthermore, inhibition of the Wnt/β-catenin signaling pathway reversed the ECM metabolism imbalance caused by YAP overexpression in chondrocytes. It is important to note that the YAP-specific inhibitor verteporfin (VP) significantly delayed the progression of ankle osteoarthritis. In conclusion, the findings highlighted the crucial role of YAP as a regulator in modulating the progression of ankle osteoarthritis via the Wnt/β-catenin signaling pathway. These findings suggest that pharmacological inhibition of YAP can be an effective and critical therapeutic target for alleviating ankle osteoarthritis.

The satirical cinema of journalists. Mass media characters and stories by the Hollywood industry (1970-2020)

Journalism is a historic profession. A target of criticism and the result of technological adaptations, it is used by the film industry to create characters who use journalistic skills, verify sources or create exclusives, to therefore promote a democratic society with truth and independence, as part of their plots. To do this, a quantitative and qualitative content analysis is carried out on six representative American comedies in the last half century - Network (Sidney Lumet, 1976), Broadcast News (James L. Brooks, 1987), The Paper (Ron Howard, 1994), Chicago (Rob Marshall, 2002), Morning Glory (Roger Michell, 2010), and Don't Look Up (Adam McKay, 2021)- based on humor theories and agenda setting theory. By using humorous resources and journalistic praxis, an overview is made of how journalism is portrayed on the big screen through satire, which results in an image rooted in frivolous stereotypes, jokes and sharp responses denouncing sensationalism and infotainment. It is a debate that makes viewers aware of the importance of journalism and that, though laughter, a critical vision fluctuates by satirizing their skills under the deconstructive capacity of humor that reflects American society.

Fertility apps, datafication and knowledge production in reproductive health.

Despite being the target of much criticism, commercialised digital technologies have proliferated in reproductive health arenas. Fertility applications (apps) are now some of the most popular and ubiquitous digital health tracking technologies, with millions of downloads. Previous scholarship has already underlined the problematic nature of their design and surveillance features. However, less attention has been paid to the wider effects of datafied knowledge availability. This research specifically asks: How does the proliferation of fertility apps shape knowledge (and associated practices) in reproductive health? Drawing on an analysis of key document sources, I here argue that fertility apps act as mediators between stakeholders, data and datafied outputs, thus facilitating: (1) the datafication of fertility awareness knowledge and the production of new datafied knowledge, (2) legitimation discourses and practices and (3) the remaking of private/public expertise and knowledge production networks in reproductive health. To effectively analyse the effects of commercialised reproductive health apps, this work argues for an understanding of data technologies that is informed by critical data studies.

Luteolin Alleviates Diabetic Nephropathy Fibrosis Involving AMPK/NLRP3/TGF-β Pathway.

Luteolin is a promising candidate for diabetic nephropathy due to its potential anti-inflammatory and anti-fibrotic properties. This study explored the molecular mechanisms through which luteolin combats fibrosis in DN. Potential targets affected by luteolin and genes associated with DN were collected from databases. Overlapping targets between luteolin and diabetic nephropathy were identified through Venn analysis. A protein-protein interaction network was constructed using these common targets, and critical pathways and targets were elucidated through GO and KEGG analysis. These pathways and targets were confirmed using a streptozotocin-induced mouse model. Luteolin was administered at 45 mg/kg and 90 mg/kg. Various parameters were evaluated, including body weight, blood glucose levels, and histopathological examinations. Protein levels related to energy metabolism, inflammation, and fibrosis were quantified. Fifty-three targets associated with luteolin and 36 genes related to diabetic nephropathy were extracted. The AGE-RAGE signaling pathway was the key pathway impacted by luteolin in diabetic nephropathy. Key molecular targets include TGF-β, IL-1β, and PPARG. Luteolin reduced body weight and blood glucose levels, lowered the left kidney index, and improved insulin and glucose tolerance. Furthermore, luteolin mitigated inflammatory cell infiltration, basement membrane thickening, and collagen deposition in the kidney. Luteolin up-regulated the protein expression of p-AMPKα (Th172) while simultaneously down-regulated the protein expression of p-NF-ĸB (p65), NLRP3, TGF-β1, α-SMA, and Collagen I. Luteolin mitigated renal fibrosis by alleviating energy metabolism disruptions and inflammation by modulating the AMPK/NLRP3/TGF-β signaling pathway.

Alternative Splicing in Glioblastoma and its Clinical Implication in Outcome Prediction.

Alternative splicing (AS) offers an important mechanism to form protein polymorphism. A growing body of evidence indicates the correlation between splicing abnormality and carcinoma. Nevertheless, an overall analysis of AS signatures in glioblastoma (GBM) is absent and urgently needed. TCGA SpliceSea data was used to evaluate the AS profiles and further classified into different AS events. The survival analysis was based on these AS events, and AS-related genes were identified and performed with enrichment analysis. At last, the splicing factor-AS regulatory network was established in Cytoscape. Eight hundred forty-two splicing events were confirmed as prognostic molecular events in GBM. Furthermore, the final prognostic signature constructed by seven AS events gave good result with an area under the curve (AUC) of receiver operating characteristic (ROC) curve up to 0.935 for five years, showing high potency in predicting patients' outcome. We built the splicing regulatory network to show the internal relationship of splicing events in GBM. PC4 and SFRS1 interacting protein 1 (PSIP1) and histone H4 acetylation may play a significant part in the prognosis induced by splicing events. In our study, a high-efficiency prognostic prediction model was built for GBM patients based on AS events, which could become potential prognostic biomarkers for GBM. Meanwhile, PSIP1 may be a critical target for pharmaceutical treatment.

Melatonin attenuates scopolamine-induced cognitive dysfunction through SIRT1/IRE1α/XBP1 pathway.

The prevalence of dementia around the world is increasing, and these patients are more likely to have cognitive impairments, mood and anxiety disorders (depression, anxiety, and panic disorder), and attention deficit disorders over their lifetime. Previous studies have proven that melatonin could improve memory loss, but its specific mechanism is still confused. In this study, we used invivo and invitro models to examine the neuroprotective effect of melatonin on scopolamine (SCOP)-induced cognitive dysfunction. The behavioral tests were performed. 18F-FDG PET imaging was used to assess the metabolism of the brain. Protein expressions were determined through kit detection, Western blot, and immunofluorescence. Nissl staining was conducted to reflect neurodegeneration. MTT assay and RNAi transfection were applied to perform the invitro experiments. We found that melatonin could ameliorate SCOP-induced cognitive dysfunction and relieve anxious-like behaviors or HT22 cell damage. 18F-FDG PET-CT results showed that melatonin could improve cerebral glucose uptake in SCOP-treated mice. Melatonin restored the cholinergic function, increased the expressions of neurotrophic factors, and ameliorated oxidative stress in the brain of SCOP-treated mice. In addition, melatonin upregulated the expression of silent information regulator 1 (SIRT1), which further relieved endoplasmic reticulum (ER) stress by decreasing the expression of phosphorylate inositol-requiring enzyme (p-IRE1α) and its downstream, X-box binding protein 1 (XBP1). These results indicated that melatonin could ameliorate SCOP-induced cognitive dysfunction through the SIRT1/IRE1α/XBP1 pathway. SIRT1 might be the critical target of melatonin in the treatment of dementia.

The Role of Emodin in the Treatment of Bladder Cancer Based on Network Pharmacology and Experimental Verification.

Emodin, a compound derived from rhubarb and various traditional Chinese medicines, exhibits a range of pharmacological actions, including antiinflammatory, antiviral, and anticancer properties. Nevertheless, its pharmacological impact on bladder cancer (BLCA) and the underlying mechanism are still unclear. This research aimed to analyze the pharmacological mechanisms of Emodin against BLCA using network pharmacology analysis and experimental verification. Initially, network pharmacology was employed to identify core targets and associated pathways affected by Emodin in bladder cancer. Subsequently, the expression of key targets in normal bladder tissues and BLCA tissues was assessed by searching the GEPIA and HPA databases. The binding energy between Emodin and key targets was predicted using molecular docking. Furthermore, in vitro experiments were carried out to confirm the predictions made with network pharmacology. Our analysis identified 148 common genes targeted by Emodin and BLCA, with the top ten target genes including TP53, HSP90AA1, EGFR, MYC, CASP3, CDK1, PTPN11, EGF, ESR1, and TNF. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses indicated a significant correlation between Emodin and the PI3KAKT pathway in the context of BLCA. Molecular docking investigations revealed a strong affinity between Emodin and critical target proteins. In vitro experiments demonstrated that Emodin inhibits T24 proliferation, migration, and invasion while inducing cell apoptosis. The findings also indicated that Emodin reduces both PI3K and AKT protein and mRNA expression, suggesting that Emodin may mitigate BLCA by modulating the PI3K-AKT signaling pathway. This study integrates network pharmacology with in vitro experimentation to elucidate the potential mechanisms underlying the action of Emodin against BLCA. The results of this research enhance our understanding of the pharmacological mechanisms by which Emodin may be employed in treating BLCA.

Sympathy and Guilt: Optimizing Advertising Appeals for Charitable Giving to Generation Z

ABSTRACT The high degree of social consciousness among Generation Z (Gen Z) makes the cohort a critical target for nonprofits. Our study investigates the relative impact of advertising appeals based on guilt and sympathy on Gen Z students in the U.S. The study fills a research gap by comparing the impact of both emotions in one study and examining their effect on Gen Z vs. non-Gen Z individuals. Findings indicate that advertising appeals eliciting guilt and sympathy are more impactful among Gen Z than non-Gen Z individuals, but that sympathy is more effective among the Gen Z cohort. We relate these findings to sympathy being more sensitive to the Gen Z desire not to be manipulated by guilt. In addition, the effect of sympathy is stronger among women than men among the Gen Z cohort. Results are valuable to nonprofits seeking to make inroads on charitable giving with Gen Z.

Crizotinib resistance reversal in ALK-positive lung cancer through zeolitic imidazolate framework-based mitochondrial damage

Crizotinib (CRZ), one of anaplastic lymphoma kinase tyrosine kinase inhibitors (ALK-TKIs), has emerged as a frontline treatment for ALK-positive (ALK+) lung adenocarcinoma. However, the overexpression of P-glycoprotein (P-gp, a mitochondrial adenosine triphosphate (ATP)-dependent protein) in lung adenocarcinoma lesions causes multidrug resistance (MDR) and limits the efficacy of CRZ treatment. Herein, a mitochondria-targeting nanosystem, zeolitic imidazolate framework-90@indocyanine green (ZIF-90@ICG), was fabricated to intervene in mitochondria and overcome drug resistance. Due to the zinc ion (Zn2+) interference of ZIF-90 and the photodynamic therapy (PDT) of ICG, this nanosystem is well suited for damaging mitochondrial functions, thus downregulating the intracellular ATP level and inhibiting P-gp expression. In addition, systematic bioinformatics analysis revealed the upregulation of CD44 in CRZ-resistant cells. Therefore, hyaluronic acid (HA, a critical target ligand of CD44) was further modified on the surface of ZIF-90@ICG for active targeting. Overall, this ZIF-90@ICG nanosystem synergistically increased the intracellular accumulation of CRZ and reversed CRZ resistance to enhance its anticancer effect, which provides guidance for nanomedicine design to accurately target tumours and induce mitochondrial damage and represents a viable regimen for improving the prognosis of patients with ALK-TKIs resistance. Statement of significanceThe original aim of our research was to combat multidrug resistance (MDR) in highly aggressive and lethal lymphoma kinase-positive (ALK+) lung adenocarcinoma. For this purpose, a cascade-targeted system was designed to overcome MDR, integrating lung adenocarcinoma-targeted hyaluronic acid (HA), mitochondrion-targeted zeolitic imidazolate framework-90 (ZIF-90), the clinically approved drug crizotinib (CRZ), and the fluorescence imaging agent/photosensitizer indocyanine green (ICG). Moreover, using a “two birds with one stone” strategy, ion interference and oxidative stress induced by ZIF-90 and photodynamic therapy (PDT), respectively, disrupt mitochondrial homeostasis, thus downregulating adenosine triphosphate (ATP) levels, inhibiting MDR-relevant P-glycoprotein (P-gp) expression and suppressing tumour metastasis. Overall, this research represents an attempt to implement the concept of MDR reversal and realize the trade-offs between MDR and therapeutic effectiveness.

From Research to Action- Can we Prevent Burnout in Critical Care?

Emergency and critical care nurses face high job pressure, leading to burnout. This is linked to stressful work environments and a lack of effective prevention strategies. Studies show that education and proper work conditions can mitigate burnout, especially during the COVID-19 pandemic, emphasizing the need for comprehensive burnout prevention and support programs. This edition of the International Journal of Critical Care targets this important and compelling topic.