Emission characteristics of biogenic volatile organic compounds in a subtropical pristine forest of southern China.

Emission characteristics of biogenic volatile organic compounds (BVOCs) from dominant tree species in the subtropical pristine forests of China are extremely limited. Here we conducted in situ field measurements of BVOCs emissions from representative mature evergreen trees by using dynamic branch enclosures at four altitude gradients (600-1690 m a.s.l.) in the Nanling Mountains of southern China. Composition characteristics as well as seasonal and altitudinal variations were analyzed. Standardized emission rates and canopy-scale emission factors were then calculated. Results showed that BVOCs emission intensities in the wet season were generally higher than those in the dry season. Monoterpenes were the dominant BVOCs emitted from most broad-leaved trees, accounting for over 70% of the total. Schima superba, Yushania basihirsuta and Altingia chinensis had relatively high emission intensities and secondary pollutant formation potentials. The localized emission factors of isoprene were comparable to the defaults in the Model of Emissions of Gases and Aerosols from Nature (MEGAN), while emission factors of monoterpenes and sesquiterpenes were 2 to 58 times of those in the model. Our results can be used to update the current BVOCs emission inventory in MEGAN, thereby reducing the uncertainties of BVOCs emission estimations in forested regions of southern China.

Daratumumab, bortezomib, melphalan, and prednisone versus bortezomib, melphalan, and prednisone alone in transplant-ineligible Asian patients with newly diagnosed multiple myeloma: final analysis of the phase 3 OCTANS Study.

The superiority and tolerability of daratumumab plus bortezomib/melphalan/prednisone (D-VMP) versus bortezomib/melphalan/prednisone (VMP) in transplant-ineligible patients with newly diagnosed multiple myeloma (NDMM) was previously described in the global phase 3 ALCYONE study. The primary analysis of the phase 3 OCTANS study further demonstrated the superiority and tolerability of D-VMP (n = 144) versus VMP (n = 71) in transplant-ineligible Asian patients with NDMM. The current analysis describes the final efficacy and safety outcomes for D-VMP versus VMP in OCTANS, with a follow-up of > 3 years. D-VMP demonstrated a benefit versus VMP with regard to the rate of very good partial response or better (80.1% vs. 47.3%), median progression-free survival (38.7 vs. 19.2 months), median time to next treatment (46.8 vs. 20.6 months), rate of complete response or better (46.6% vs. 18.9%), median duration of response (41.3 vs. 18.5 months), achievement of minimal residual disease (MRD) negativity (40.4% vs. 10.8%), and sustained MRD negativity for ≥ 12 months (24.7% vs. 1.4%) and ≥ 18 months (15.1% vs. 1.4%). Median progression-free survival was longer among patients who achieved MRD negativity and sustained MRD negativity. The progression-free survival benefit observed with D-VMP was preserved across most clinically relevant subgroups, including patients with high-risk cytogenetics. No new safety concerns were identified with extended follow-up. This final analysis of OCTANS continues to demonstrate a clinical benefit for D-VMP versus VMP in transplant-ineligible Asian patients with NDMM, consistent with the global ALCYONE study, and supports the use of daratumumab combinations in this population. Trial registration: ClinicalTrials.gov Identifier NCT03217812 submitted July 13, 2017.

Improved boosting and self-attention RBF networks for COD prediction based on UV-vis.

Chemical Oxygen Demand (COD) is crucial for assessing water quality. Compared to traditional chemical detection methods, UV-vis spectroscopy for measuring COD offers advantages such as speed, reduced consumption of materials, and no secondary pollution. Considering the impact of suspended particles in water, this paper proposes an optimized boosting model based on a combination strategy for turbidity compensation, using absorption spectra obtained from reservoir water samples via UV-vis. A self-attention mechanism is introduced into the radial basis function (RBF) network, resulting in a COD detection model based on the saRBF framework. This model facilitates comprehensive optimization of the entire process, from turbidity compensation of the original absorption spectrum to the subsequent COD prediction. Experimental results show that the proposed COD measurement model achieves a coefficient of determination of 0.9267, a root mean square error of 1.2669, and a mean absolute error of 1.0097, outperforming other COD measurement models. This work provides a new approach for turbidity compensation and COD detection research.

Ferritin Hinders Ferroptosis in Non-Tumorous Diseases: Regulatory Mechanisms and Potential Consequences.

Ferritin, as an iron storage protein, has the potential to inhibit ferroptosis by reducing excess intracellular free iron concentrations and lipid reactive oxygen species (ROS). An insufficient amount of ferritin is one of the conditions that can lead to ferroptosis through the Fenton reaction mediated by ferrous iron. Consequently, upregulation of ferritin at the transcriptional or posttranscriptional level may inhibit ferroptosis. In this review, we have discussed the essential role of ferritin in ferroptosis and the regulatory mechanism of ferroptosis in ferritin-deficient individuals. The description of the regulatory factors governing ferritin and its properties in regulating ferroptosis as underlying mechanisms for the pathologies of diseases will allow potential therapeutic approaches to be developed.

Profiling of Phakopsora pachyrhizi transcriptome revealed co-expressed virulence effectors as prospective RNA interference targets for soybean rust management.

Soybean rust (SBR), caused by an obligate biotrophic pathogen Phakopsora pachyrhizi, is a devastating disease of soybean worldwide. However, the mechanisms underlying plant invasion by P. pachyrhizi are poorly understood, which hinders the development of effective control strategies for SBR. Here we performed detailed histological characterization on the infection cycle of P. pachyrhizi in soybean and conducted a high-resolution transcriptional dissection of P. pachyrhizi during infection. This revealed P. pachyrhizi infection leads to significant changes in gene expression with 10 co-expressed gene modules, representing dramatic transcriptional shifts in metabolism and signal transduction during different stages throughout the infection cycle. Numerous genes encoding secreted protein are biphasic expressed, and are capable of inhibiting programmed cell death triggered by microbial effectors. Notably, three co-expressed P. pachyrhizi apoplastic effectors (PpAE1, PpAE2, and PpAE3) were found to suppress plant immune responses and were essential for P. pachyrhizi infection. Double-stranded RNA coupled with nanomaterials significantly inhibited SBR infection by targeting PpAE1, PpAE2, and PpAE3, and provided long-lasting protection to soybean against P. pachyrhizi. Together, this study revealed prominent changes in gene expression associated with SBR and identified P. pachyrhizi virulence effectors as promising targets of RNA interference-based soybean protection strategy against SBR.

Inhibiting circ_0000673 blocks the progression of colorectal cancer through downregulating CPSF6 via targeting miR-548b-3p.

BACKGROUND: Colorectal cancer (CRC) is one of the most common cancers, and its progression is regulated by several factors, including circular RNA (circRNA). OBJECTIVES: The objective of this study was to determine the role, or roles, of circ_0000673 in CRC. MATERIAL AND METHODS: We used quantitative real-time polymerase chain reaction (qPCR) to detect the expression of circ_0000673, miR-548b-3p and cleavage and polyadenylation specific factor 6 (CPSF6) in DLD-1 and RKO cells. Cell Counting Kit-8 (CCK-8) and 5-ethynyl-2'-deoxyuridine (EdU) assays were used to determine circ_0000673 roles in proliferation. Wound healing and transwell assays were used to detect cell migration and invasion abilities. Expression of CPSF6 protein and stem cell-associated proteins were examined using western blot. The putative relationship between miR-548b-3p and circ_0000673 or CPSF6 was verified with dual-luciferase reporter assay. The role of circ_0000673 in CRC was also investigated in a tumor xenograft assay in nude mice. RESULTS: Circ_0000673 expression was increased in CRC tissues and cancer cells. Silencing circ_0000673 reduced tumor cell proliferation, migration and invasion, while also decreasing cell stemness. MiR-548b-3p was found to be a target of circ_0000673, while CPSF6 was a downstream target of miR-548b-3p. The tumor-regulatory effects of si-circ_0000673, anti-miR-548b-3p and oe-CPSF6 were partially reversed by anti-miR-548b-3p, si-CPSF6 and si-circ_0000673, respectively, in rescue assays. Downregulation of circ_0000673 reduced solid tumor growth in vivo. CONCLUSIONS: Circ_0000673 inhibition reduced CPSF6 expression by targeting miR-548b-3p, thereby blocking proliferation, migration and invasion of CRC tumor cells.

Harsh Environment-Tolerant, High Performance Soft Pressure Sensors Enabled by Fiber-Segment Structure and Plasma Treatment.

As the demand for specialized and diversified pressure sensors continues to increase, excellent performance and multi-applicability have become necessary for pressure sensors. Currently, flexible pressure sensors are primarily utilized in fields such as health monitoring and human-computer interaction. However, numerous complex extreme environments in reality, including deep sea, corrosive conditions, extreme cold, and high temperatures, urgently require the services of flexible devices. Here, a piezoresistive flexible pressure sensor based on expanded polytetrafluoroethylene/functionalized carbon nanotubes (EPTFE/FCNT) is proposed. Benefiting from the unique fiber-segment architecture, chemical stability, and strong chemical binding force between EPTFE and FCNT, the fabricated sensor exhibits remarkable sensing capabilities and can be employed in multifarious extreme environments. It demonstrates a sensitivity of 862.28 kPa-1, a response time of 6-7 ms, and a detection limit below 1 Pa. Furthermore, it possesses a pressure resolution of 0.0018% under 111 kPa and can withstand over 10,000 loading and unloading cycles under 1 MPa. Additionally, the EPTFE/FCNT sensor retains its outstanding pressure response and work efficiency in extreme conditions such as an ultra-low temperature of -80 °C, high temperature (200 °C), acidic and alkaline corrosion, and underwater. These notable attributes enormously broaden the sensors' real-world application range.

Galangin alleviated Doxorubicin-induced cardiotoxicity by inhibiting ferroptosis through GSTP1/JNK pathway.

BACKGROUND: Doxorubicin (DOX) is a potent anticancer medication, but its significant cardiotoxicity poses a challenge in clinical practice. Galangin (Gal), a flavonoid compound with diverse pharmacological activities, has shown potential in exerting cardioprotective effects. However, the related molecular mechanism has not been fully elucidated. PURPOSE: Combined with bioinformatics and experimental verification methods to investigate Gal's potential role and underlying mechanisms in mitigating DOX-induced cardiotoxicity (DIC). METHODS: C57BL/6 mice received a single dose of DOX via intraperitoneal injection 4 days before the end of the gavage period with Gal. Myocardial injury was evaluated using echocardiography, myocardial injury biomarkers, Sirius Red and H&E staining. H9c2 cells were stimulated with DOX to mimic DIC in vitro. The potential therapeutic target of Gal was identified through network pharmacology, molecular docking and cellular thermal shift assay (CETSA), complemented by an in-depth exploration of the GSTP1/JNK signaling pathway using immunofluorescence. Subsequently, the GSTP1 inhibitor Ezatiostat (Eza) substantiated the signaling pathway. RESULTS: Gal administration considerably raised DOX-inhibited the left ventricular ejection fractions (LVEF), reduced levels of myocardial injury markers (c-TnI, c-TnT, CKMB, LDH, and AST), and alleviated DOX-induced myocardial histopathological injury and fibrosis in mice, thereby improving cardiac dysfunction. The ferroptosis induced by DOX was inhibited by Gal treatment. Gal remarkably ameliorated the DOX-induced lipid peroxidation, accumulation of iron and Ptgs2 expression both in H9c2 cells and cardiac tissue. Furthermore, Gal effectively rescued the DOX-inhibited crucial regulators of ferroptosis such as Gpx4, Nrf2, Fpn, and Slc7a11. The mechanistic investigations revealed that Glutathione S-transferase P1 (GSTP1) may be a potential target for Gal in attenuating DIC. Gal act on GSTP1 by stimulating its expression, thereby enhancing the interaction between GSTP1 and c-Jun N-terminal kinase (JNK), leading to the deactivation of JNK/c-Jun pathway. Furthermore, interference of GSTP1 with inhibitor Eza abrogated the cardioprotective and anti-ferroptotic effects of Gal, as evidenced by decreased cell viability, reduced expression of GSTP1 and Gpx4, elevated MDA levels, and promoted phosphorylation of JNK and c-Jun compared with Gal treatment. CONCLUSION: Gal could inhibit ferroptosis and protect against DIC through regulating the GSTP1/JNK pathway. Our research has identified a novel pathway through which Gal regulates DIC, providing valuable insights into the potential therapeutic efficacy of Gal in mitigating cardiotoxic effects.

Fast and broad-coverage lipidomics enabled by ion mobility-mass spectrometry.

Aberrant lipid metabolism has been widely recognized as a hallmark of various diseases. However, the comprehensive analysis of distinct lipids is challenging due to the complexity of lipid molecular structures, wide concentration ranges, and numerous isobaric and isomeric lipids. Usually, liquid chromatography-mass spectrometry (LC-MS)-based lipidomics requires a long time for chromatographic separation to achieve optimal separation and selectivity. Ion mobility (IM) adds a new separation dimension to LC-MS, significantly enhancing the coverage, sensitivity, and resolving power. We took advantage of the rapid separation provided by ion mobility and optimized a fast and broad-coverage lipidomics method using the LC-IM-MS technology. The method required only 8 minutes for separation and detected over 1000 lipid molecules in a single analysis of common biological samples. The high reproducibility and accurate quantification of this high-throughput lipidomics method were systematically characterized. We then applied the method to comprehensively measure dysregulated lipid metabolism in patients with colorectal cancer (CRC). Our results revealed 115 significantly changed lipid species between preoperative and postoperative plasma of patients with CRC and also disclosed associated differences in lipid classes such as phosphatidylcholines (PC), sphingomyelins (SM), and triglycerides (TG) regarding carbon number and double bond. Together, a fast and broad-coverage lipidomics method was developed using ion mobility-mass spectrometry. This method is feasible for large-scale clinical lipidomic studies, as it effectively balances the requirements of high-throughput and broad-coverage in clinical studies.

Impact of positive CD4 cells on event-free survival in follicular lymphoma patients.

OBJECTIVE: Previous results about prognostic value of CD4+ T cells in follicular lymphoma (FL) remain controversial. METHODS: Immunohistochemistry was used to examine expression of positive CD4 cells in 103 patients with FL 1-3A. Early failure was described as failing to achieve event-free survival (EFS) at 12 or 24 months. RESULTS: There were 49 (47.6%) male and 54 (52.4%) females, with a median age of 54 years. Compared to patients with <20% of positive CD4 cells, patients with ≥20% of positive CD4 cells exhibited a significant lower risk of early failure (2-year EFS rate: 56.7% vs 73.5%, p = 0.047). When patients were stratified based on positive CD4 cell combined with FLIPI, the median EFS (p = 0.002) and median OS (p = 0.007) were significantly different. CONCLUSIONS: This study demonstrated that higher expression of positive CD4 cells predicts lower risk of early failure in follicular lymphoma, and combination analysis of CD4 and FLIPI could better predict disease relapse and survival outcome.

Microbial Heterogeneity Identification of Cerebral Thrombi Via Metagenomic Next-Generation Sequencing-Based Strategy.

BACKGROUND: Diagnosis of the cause of cerebral thrombi is vital for recurrence prevention but also challenging. The presence of the microbiome has recently been confirmed in thrombus, suggesting a novel approach to distinguish cerebral thrombi of different origins. However, little is known about whether there is heterogeneity in microbiological colonization of cerebral thrombi of different sources. METHODS AND RESULTS: Forty patients experiencing acute ischemic stroke were included and clinical data were collected. Metagenomic next-generation sequencing was adopted to detect bacterial and genomic signatures of human cerebral thrombi samples. We found similar species diversity between the large-artery atherosclerosis thrombi and cardioembolic thrombi but different species composition and distribution of cerebral thrombus microbiota. Compared with the group with cardioembolism, the group with large-artery atherosclerosis showed a significantly higher relative abundance of Ralstonia insidiosa among the top 10 bacterial species in cerebral thrombi. Twenty operational taxonomy units were correlated with 11 clinical indicators of ischemic stroke. The Gene Ontology enrichment analysis revealed 9 different enriched biological processes (translation and carbohydrate metabolic process, etc). The enriched Kyoto Encyclopedia of Genes and Genomes pathways included ribosome, butanoate metabolism, and sulfur metabolism. CONCLUSIONS: This study, based on the approach of metagenomic next-generation sequencing, provides a diagnostic microbiological method to discriminate individuals with cardioembolic thrombi from those with large-artery atherosclerosis thrombi with human cerebral thrombi samples. Our findings provide a fresh perspective on microbial heterogeneity of cerebral thrombi and demonstrate biological processes and pathway features of cerebral thrombi.

Amlexanox targeted inhibition of TBK1 regulates immune cell function to exacerbate DSS-induced inflammatory bowel disease.

Amlexanox (ALX) is a small molecule drug for the treatment of inflammatory, autoimmune, metabolic and tumor diseases. At present, there are no studies on whether ALX has a therapeutic effect on inflammatory bowel disease (IBD). In this study, we used a mouse model of dextran sulfate sodium (DSS)-induced colitis to investigate the effect of ALX targeted inhibition of TBK1 on colitis. We found that the severity of colitis in mice was correlated with TBK1 expression. Notably, although ALX inhibited the activation of the TBK1-NF-κB/TBK1-IRF3 pro-inflammatory signaling pathway, it exacerbated colitis and reduced survival in mice. The results of drug safety experiments ruled out a relationship between this exacerbating effect and drug toxicity. In addition, ELISA results showed that ALX promoted the secretion of IL-1ß and IFN-α, and inhibited the production of cytokines IL-6, TNF-α, IL-10, TGF-ß and secretory IgA. Flow cytometry results further showed that ALX promoted T cell proliferation, activation and differentiation, and thus played a pro-inflammatory role; Also, ALX inhibited the generation of dendritic cells and the polarization of macrophages to M1 type, thus exerting anti-inflammatory effect. These data suggest that the regulation of ALX on the function of different immune cells is different, so the effect on the inflammatory response is bidirectional. In conclusion, our study demonstrates that simply inhibiting TBK1 in all immune cells is not effective for the treatment of colitis. Further investigation the anti-inflammatory mechanism of ALX on dendritic cells and macrophages may provide a new strategy for the treatment of IBD.

Quality and Accountability of ChatGPT in Health Care in Low- and Middle-Income Countries: Simulated Patient Study.

Using simulated patients to mimic 9 established noncommunicable and infectious diseases, we assessed ChatGPT's performance in treatment recommendations for common diseases in low- and middle-income countries. ChatGPT had a high level of accuracy in both correct diagnoses (20/27, 74%) and medication prescriptions (22/27, 82%) but a concerning level of unnecessary or harmful medications (23/27, 85%) even with correct diagnoses. ChatGPT performed better in managing noncommunicable diseases than infectious ones. These results highlight the need for cautious AI integration in health care systems to ensure quality and safety.

Consumer-priced wearable sensors combined with deep learning can be used to accurately predict ground reaction forces during various treadmill running conditions.

Ground reaction force (GRF) data is often collected for the biomechanical analysis of running, due to the performance and injury risk insights that GRF analysis can provide. Traditional methods typically limit GRF collection to controlled lab environments, recent studies have looked to combine the ease of use of wearable sensors with the statistical power of machine learning to estimate continuous GRF data outside of these restrictions. Before such systems can be deployed with confidence outside of the lab they must be shown to be a valid and accurate tool for a wide range of users. The aim of this study was to evaluate how accurately a consumer-priced sensor system could estimate GRFs whilst a heterogeneous group of runners completed a treadmill protocol with three different personalised running speeds and three gradients. Fifty runners (25 female, 25 male) wearing pressure insoles made up of 16 resistive sensors and an inertial measurement unit ran at various speeds and gradients on an instrumented treadmill. A long short term memory (LSTM) neural network was trained to estimate both vertical ( G R F v ) and anteroposterior ( G R F a p ) force traces using leave one subject out validation. The average relative root mean squared error (rRMSE) was 3.2% and 3.1%, respectively. The mean ( G R F v ) rRMSE across the evaluated participants ranged from 0.8% to 8.8% and from 1.3% to 17.3% in the ( G R F a p ) estimation. The findings from this study suggest that current consumer-priced sensors could be used to accurately estimate two-dimensional GRFs for a wide range of runners at a variety of running intensities. The estimated kinetics could be used to provide runners with individualised feedback as well as form the basis of data collection for running injury risk factor studies on a much larger scale than is currently possible with lab based methods.

Unraveling the roles of IFIT3 gene and immune-metabolic pathways in psoriasis: a bioinformatics exploration for diagnostic markers and therapeutic targets.

Background: The functions and related signal pathways of the IFIT3 gene in the skin lesions of patients with psoriasis were explored through bioinformatics methods to determine the potential specific molecular markers of psoriasis. Methods: The "limma" R package was used to analyze three datasets from the Gene Expression Omnibus database (GSE13355, GSE30999 and GSE106992), and the differential genes were screened. The STRING database was used for gene ontology (GO) enrichment analysis, Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis, and protein-protein interaction network integration. Then, the IFIT3 subnetwork was extracted and analyzed by gene set enrichment analysis (GSEA) using the Metascape database to verify the effectiveness of gene differentiation and disease tissue identification. Results: In this study, 426 differential genes were obtained, of which 322 were significantly upregulated and 104 were significantly downregulated. GO enrichment analysis showed that the differential genes were mainly involved in immunity and metabolism; the KEGG pathway enrichment analysis mainly included the chemokine signal pathway, PPAR signal pathway, and IL-17 signal pathway, among others. Based on the IFIT3 subnetwork analysis, it was found that IFIT3 was mainly involved in the biological processes of viruses, bacteria, and other microorganisms. The pathways obtained by GSEA were mainly related to immunity, metabolism, and antiviral activities. IFIT3 was highly expressed in psoriatic lesions and may thus be helpful in the diagnosis of psoriasis. Conclusion: The differential genes, biological processes, and signal pathways of psoriasis, especially information related to and diagnostic efficiency of the IFIT3 gene, were obtained by bioinformatics analysis. These results are expected to provide the theoretical basis and new directions for exploring the pathogenesis of psoriasis, in addition to helping with finding diagnostic markers and developing drug treatment targets.

Real-time machine learning-enhanced hyperspectro-polarimetric imaging via an encoding metasurface.

Light fields carry a wealth of information, including intensity, spectrum, and polarization. However, standard cameras capture only the intensity, disregarding other valuable information. While hyperspectral and polarimetric imaging systems capture spectral and polarization information, respectively, in addition to intensity, they are often bulky, slow, and costly. Here, we have developed an encoding metasurface paired with a neural network enabling a normal camera to acquire hyperspectro-polarimetric images from a single snapshot. Our experimental results demonstrate that this metasurface-enhanced camera can accurately resolve full-Stokes polarization across a broad spectral range (700 to 1150 nanometer) from a single snapshot, achieving a spectral sensitivity as high as 0.23 nanometer. In addition, our system captures full-Stokes hyperspectro-polarimetric video in real time at a rate of 28 frames per second, primarily limited by the camera's readout rate. Our encoding metasurface offers a compact, fast, and cost-effective solution for multidimensional imaging that effectively uses information within light fields.

Ferroptosis in Parkinson's disease -- The iron-related degenerative disease.

Parkinson's disease (PD) is a prevalent and advancing age-related neurodegenerative disorder, distinguished by the degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNpc). Iron regional deposit in SNpc is a significant pathological characteristic of PD. Brain iron homeostasis is precisely regulated by iron metabolism related proteins, whereas disorder of these proteins can damage neurons and glial cells in the brain. Additionally, growing studies have reported iron metabolism related proteins are involved in the ferroptosis progression in PD. However, the effect of these proteins in the ferroptosis of PD has not been systematically summarized. This review focuses on the roles of iron metabolism related proteins in the ferroptosis of PD. Finally, we put forward the iron early diagnosis according to the observation of iron deposits in the brain and showed the recent advances in iron chelation therapy in PD.

TP53AIP1 induce autophagy via the AKT/mTOR signaling pathway in the breast cancer cells.

Breast cancer ranks the first in the incidence of female cancer and is the most common cancer threatening the life and health of women worldwide.Tumor protein p53-regulated apoptosis-inducing protein 1 (TP53AIP1) is a pro-apoptotic gene downstream of p53. However, the role of TP53AIP1 in BC needs to be investigated. In vitro and in vivo experiments were conducted to assess the biological functions and associated mechanisms. Several bioinformatics analyses were made, CCK8 assay, wound healing, transwell assays, colony formation assay, EDU, flow cytometry, Immunofluorescence, qRT-PCR and Western-blotting were performed. In our study, we discovered that BC samples had low levels of TP53AIP1 expression, which correlated with a lower survival rate in BC patients. When TP53AIP1 was up-regulated, it caused a decrease in cell proliferation, migration, and invasion. It also induced epithelial-to-mesenchymal transition (EMT) and protective autophagy. Furthermore, the over-expression of TP53AIP1 suppressed tumor growth when tested in vivo. We also noticed that TP53AIP1 up-regulation resulted in decreased levels of phosphorylation in AKT and mTOR, suggesting a mechanistic role. In addition, we performed functional rescue experiments where the activation of AKT was able to counteract the impact of TP53AIP1 on the survival and autophagy in breast cancer cell lines. This suggests that TP53AIP1 acts as an oncogene by controlling the AKT/mTOR pathway. These findings reveal TP53AIP1 as a gene that suppresses tumor growth and triggers autophagy through the AKT/mTOR pathway in breast cancer cells. As a result, TP53AIP1 presents itself as a potential target for novel therapeutic approaches in treating breast cancer.

A conceptual framework on determinants of the integrated tuberculosis control model implementation in China.

Improving the provision of tuberculosis (TB) care is both urgent and imperative to achieve the goals outlined in the End TB Strategy. China has initiated the integrated TB control model to enhance the quality of TB care Since 2012. Despite these efforts, the integrated TB control health system encounters numerous challenges in delivering effective TB care. The factors influencing TB care provision are intricate, and a conceptual framework to comprehend these potential determinants is currently lacking. To bridge this gap, this article proposed a conceptual framework that was developed through insights from the fields of both public management and health services, adjustment of PRISM model and elements, reference to the blocks of health system and reference to the framework of outcome indicators in implementation research. This conceptual framework included 4 modules which can be coherently and logically deduced, offered a multi-perspective understanding of the determinants to TB care, and hypothesized that the TB control services provided by the integrated TB control model is a public service and must be "patient-centered"; determinants of the integrated TB control model implementation can be divided into seven domains; the evaluation of the integrated TB control model implementation covers implementation outcomes and service outcomes. This framework offers the potential to guide empirical investigations, aiding in the understanding and identification of determinants, including barriers and facilitators, associated with the implementation of the integrated TB control health model. Furthermore, it serves as a valuable tool for developing interventions that address system-level barriers, drawing insights from the realms of public management and health services.