Exploiting transcription factors to target EMT and cancer stem cells for tumor modulation and therapy.

Transcription factors (TFs) are essential in controlling gene regulatory networks that determine cellular fate during embryogenesis and tumor development. TFs are the major players in promoting cancer stemness by regulating the function of cancer stem cells (CSCs). Understanding how TFs interact with their downstream targets for determining cell fate during embryogenesis and tumor development is a critical area of research. CSCs are increasingly recognized for their significance in tumorigenesis and patient prognosis, as they play a significant role in cancer initiation, progression, metastasis, and treatment resistance. However, traditional therapies have limited effectiveness in eliminating this subset of cells, allowing CSCs to persist and potentially form secondary tumors. Recent studies have revealed that cancer cells and tumors with CSC-like features also exhibit genes related to the epithelial-to-mesenchymal transition (EMT). EMT-associated transcription factors (EMT-TFs) like TWIST and Snail/Slug can upregulate EMT-related genes and reprogram cancer cells into a stem-like phenotype. Importantly, the regulation of EMT-TFs, particularly through post-translational modifications (PTMs), plays a significant role in cancer metastasis and the acquisition of stem cell-like features. PTMs, including phosphorylation, ubiquitination, and SUMOylation, can alter the stability, localization, and activity of EMT-TFs, thereby modulating their ability to drive EMT and stemness properties in cancer cells. Although targeting EMT-TFs holds potential in tackling CSCs, current pharmacological approaches to do so directly are unavailable. Therefore, this review aims to explore the role of EMT- and CSC-TFs, their connection and impact in cellular development and cancer, emphasizing the potential of TF networks as targets for therapeutic intervention.

The STAT family: Key transcription factors mediating crosstalk between cancer stem cells and tumor immune microenvironment.

Signal transducer and activator of transcription (STAT) proteins compose a family of transcription factors critical for cancer stem cells (CSCs), and they are involved in maintaining stemness properties, enhancing cell proliferation, and promoting metastasis. Recent studies suggest that STAT proteins engage in reciprocal communication between CSCs and infiltrate immune cell populations in the tumor microenvironment (TME). Emerging evidence has substantiated the influence of immune cells, including macrophages, myeloid-derived suppressor cells, and T cells, on CSC survival through the regulation of STAT signaling. Conversely, dysregulation of STATs in CSCs or immune cells contributes to the establishment of an immunosuppressive TME. Thus, STAT proteins are promising therapeutic targets for cancer treatment, especially when used in combination with immunotherapy. From this perspective, we discuss the complex roles of STATs in CSCs and highlight their functions in the crosstalk between CSCs and the immune microenvironment. Finally, cutting-edge clinical trial progress with STAT signaling inhibitors is summarized.

Insight into the transcription factors regulating Ischemic stroke and glioma in response to shared stimuli.

Cerebral ischemic stroke and glioma are the two leading causes of patient mortality globally. Despite physiological variations, 1 in 10 people who have an ischemic stroke go on to develop brain cancer, most notably gliomas. In addition, glioma treatments have also been shown to increase the risk of ischemic strokes. Stroke occurs more frequently in cancer patients than in the general population, according to traditional literature. Unbelievably, these events share multiple pathways, but the precise mechanism underlying their co-occurrence remains unknown. Transcription factors (TFs), the main components of gene expression programmes, finally determine the fate of cells and homeostasis. Both ischemic stroke and glioma exhibit aberrant expression of a large number of TFs, which are strongly linked to the pathophysiology and progression of both diseases. The precise genomic binding locations of TFs and how TF binding ultimately relates to transcriptional regulation remain elusive despite a strong interest in understanding how TFs regulate gene expression in both stroke and glioma. As a result, the importance of continuing efforts to understand TF-mediated gene regulation is highlighted in this review, along with some of the primary shared events in stroke and glioma.

STING-driven interferon signaling triggers metabolic alterations in pancreas cancer cells visualized by [18F]FLT PET imaging.

Type I interferons (IFNs) are critical effectors of emerging cancer immunotherapies designed to activate pattern recognition receptors (PRRs). A challenge in the clinical translation of these agents is the lack of noninvasive pharmacodynamic biomarkers that indicate increased intratumoral IFN signaling following PRR activation. Positron emission tomography (PET) imaging enables the visualization of tissue metabolic activity, but whether IFN signaling-induced alterations in tumor cell metabolism can be detected using PET has not been investigated. We found that IFN signaling augments pancreatic ductal adenocarcinoma (PDAC) cell nucleotide metabolism via transcriptional induction of metabolism-associated genes including thymidine phosphorylase (TYMP). TYMP catalyzes the first step in the catabolism of thymidine, which competitively inhibits intratumoral accumulation of the nucleoside analog PET probe 3'-deoxy-3'-[18F]fluorothymidine ([18F]FLT). Accordingly, IFN treatment up-regulates cancer cell [18F]FLT uptake in the presence of thymidine, and this effect is dependent upon TYMP expression. In vivo, genetic activation of stimulator of interferon genes (STING), a PRR highly expressed in PDAC, enhances the [18F]FLT avidity of xenograft tumors. Additionally, small molecule STING agonists trigger IFN signaling-dependent TYMP expression in PDAC cells and increase tumor [18F]FLT uptake in vivo following systemic treatment. These findings indicate that [18F]FLT accumulation in tumors is sensitive to IFN signaling and that [18F]FLT PET may serve as a pharmacodynamic biomarker for STING agonist-based therapies in PDAC and possibly other malignancies characterized by elevated STING expression.

Effect of SGLT2 inhibitors on kidney function of type 2 diabetes patients during Ramadan: A systematic review.

Background: SGLT2 inhibitors are known for their osmotic diuretic effect, and their use by Muslim patients with type 2 diabetes during the fasting month of Ramadan may pose an increased risk of volume depletion, potentially impacting renal function. Methods: We conducted a systematic review registered on PROSPERO (registration number CRD42020204582) of studies published between 2013 and January 2023, sourced from PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials. The study selection criteria included controlled studies that reported the use of SGLT2 inhibitors (SGLT2i) by fasting adult type 2 diabetes patients and provided data on creatinine or estimated glomerular filtration rate (eGFR) as outcomes. Results: Two prospective observational studies, encompassing a total of 359 participants, of which 197 utilized SGLT2 inhibitors, were identified. Our findings indicated that the use of SGLT2 inhibitors during Ramadan did not result in a significant alteration in eGFR. In one study by Hassanein et al., the mean changes in eGFR for the SGLT2i group, as compared to the non-SGLT2i group, were -1.2 ± 19.4 and 3.1 ± 14.8, respectively (p = 0.06). In a study by Shao et al., the least squares mean changes for eGFR in the SGLT2i group, compared to the non-SGLT2i group, were -6.0 ± 1.5 (95% CI, -8.9 to -3.1) and -4.2 ± 1.6 (95% CI, -7.3 to -1.1), respectively (p = 0.39). Conclusion: Despite the limited number of observational studies available, our analysis suggests that the use of SGLT2 inhibitors by type 2 diabetes patients during Ramadan does not appear to significantly impact kidney function.

Role of non-coding RNAs in the progression and resistance of cutaneous malignancies and autoimmune diseases.

Skin, the largest organ of human body, is vital for the existence and survival of human beings. Further, developmental and physiological mechanisms associated with cutaneous biology are vital for homeostasis as their deregulations converge towards pathogenesis of a number of skin diseases, including cancer. It has now been well accepted that most of the transcribed human genome lacks protein translational potential and has been termed as non-coding RNAs (nc-RNAs), which includes circular RNA (circRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), micro RNA (miRNA), long noncoding RNA (lncRNA), and piwi-interacting RNA (piRNAs). These nc-RNAs have gained great attention in both preclinical and clinical research as they are critical in most of the regulatory mechanisms of biological homeostasis and disease development by controlling the gene expression at transcriptional, post-transcriptional and epigenetic level. In this review we have illustrated how nc-RNAs are critical in the development and maintenance of cutaneous homeostasis and functioning and also, most importantly, how the dysregulated expression and functioning of nc-RNAs play critical role in the pathogenesis of cutaneous diseases including cancer and the autoimmune skin diseases. Considering the vital role of nc-RNAs in cancer resistance, metastasis and autoimmune diseases, we have also highlighted their role as promising prognostic and therapeutic targets for the cutaneous diseases.

Recent progress and future directions of membranes green polymers for oily wastewater treatment.

The preparation, modification and application of green polymers such as poly-lactic acid (PLA), chitosan (CS), and cellulose acetate (CA) for oily wastewater treatment is summed up in this review. Due to the low environmental pollution, good chemical resistivity, high hydrophobicity, and good capacity for water-oil emulsion separation of the presented polymers, it then highlights the various membrane production methods and their role in producing effective membranes, with a focus on recent advances in improving membrane properties through the addition of various Nano materials. As a result, the hydrophilic/hydrophobic properties that are critical in the oil separation mechanism are highlighted. Finally, it looks at the predictions and challenges in oil/water separation and recovery. These ideas are discussed with a focus on modern production methods and oil separation proficiency.

Impact of staffing levels and resources of intensive care units on compliance to standard mechanical ventilator guidelines: A city-wide study in times of COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has affected millions and resulted in a considerable strain on healthcare systems around the world. Intensive care units (ICUs) are reported to be affected the most because significant percentage of ICU patients requires respiratory support through mechanical ventilation (MV). AIM: This study aims to examine the staffing levels and compliance with a ventilator care bundle in a single city in Pakistan. METHODS: A cross-sectional survey of 14 ICUs including medical and surgical ICUs was conducted through a self-structured questionnaire including a standardized ventilator care bundle. We assessed the compliance of ICU staff to ventilator care bundle and calculated the correlation between staffing patterns with compliance to this bundle. RESULTS: The unit response rate was 64% (7/11 hospitals). Across these seven hospitals, there were 14 functional ICUs (7 surgical and 7 medical). The Mean (SD) numbers of beds and ventilators were 8.14 (3.39) and 5.78 (3.68) while the average patient-to-nurse and patient-to-doctor ratio was 3: 1 and 5:1 respectively. The median ventilator care bundle compliance score was 26 (IQR = 21-28) out of 30, while in medical and surgical ICUs, median scores were 24 (IQR = 19-26) and 28 (IQR = 23-30) respectively. The perceived least compliant component was head elevation in ventilated patients. Correlation analysis revealed that 24 h a day, 7 days a week onsite cover of Advanced Cardiovascular Life Support certified staff was positively correlated with the ventilator care bundle score (rs  = 0.654, p value = .011). Similarly, 24-h cover of senior ICU nurses was significantly correlated with the application of chlorhexidine oral care (rs  = 0.676, p value = .008) while routine subglottic aspiration was correlated with the number of doctors (rs  = 0.636, p value = .014). CONCLUSION: Our study suggests that ICUs in Peshawar are not well staffed in comparison with international standards and the compliance of ICUs with the ventilator care bundle is suboptimal. We found only a few aspects of ventilator care bundle compliance were related to nursing and medical staffing levels. RELEVANCE TO CLINICAL PRACTICE: Critical care staffs at most of the medical ICUs in Peshawar are not compliant with the standard guidelines for patients on mechanical ventilation. Moreover, the staffing levels at these ICUs are not in accordance with international standards. However, this study suggests that staffing levels may not be the only cause of non-compliance with standard mechanical ventilator guidelines. There is an urgent need to design and implement a program that can enhance and monitor the quality of nursing care provided to mechanically ventilated patients. Lastly, nurse staffing of ICUs in Pakistan must be increased to enable high quality care and more doctors should be trained in critical care.

Pneumomediastinum in association with Covid-19: A less commonly considered differential diagnosis for worsening respiratory failure.

We have reported here two cases of coronavirus disease-2019 (COVID-19) patients aged 29 and 68 years who were diagnosed with pneumomediastinum (PM). PM is a rare complication that is being reported in association with COVID-19. Patients with COVID-19 can present with a variety of etiologies that make them vulnerable to PM. Respiratory complications due to COVID-19 are widely known, and it presents as mild to severe and critical illness. Spontaneous PM is a known complication of COVID-19. Despite seeming to be a lesser-known condition, PM can have a significant impact on disease progression and prognosis. We have presented here two contrasting cases of PM. The first patient was young and with moderate COVID-19 pneumonia and PM, while the second one was an old man with severe COVID-19 pneumonia manifestations. Both patients were diagnosed with PM, but their outcomes were completely different.

A Forward Genetic Screen in Sclerotinia sclerotiorum Revealed the Transcriptional Regulation of Its Sclerotial Melanization Pathway.

Most plant fungal pathogens that cause worldwide crop losses are understudied, due to various technical challenges. With the increasing availability of sequenced whole genomes of these non-model fungi, effective genetic analysis methods are highly desirable. Here, we describe a newly developed pipeline, which combines forward genetic screening with high-throughput next-generation sequencing to enable quick gene discovery. We applied this pipeline in the notorious soilborne phytopathogen Sclerotinia sclerotiorum and identified 32 mutants with various developmental and growth deficiencies. Detailed molecular studies of three melanization-deficient mutants provide a proof of concept for the effectiveness of our method. A master transcription factor was found to regulate melanization of sclerotia through the DHN (1,8-dihydroxynaphthalene) melanin biosynthesis pathway. In addition, these mutants revealed that sclerotial melanization is important for sclerotia survival under abiotic stresses, sclerotial surface structure, and sexual reproduction. Foreseeably, this pipeline can be applied to facilitate efficient in-depth studies of other non-model fungal species in the future.[Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

Insights into the Genetic Architecture and Genomic Prediction of Powdery Mildew Resistance in Flax (Linum usitatissimum L.).

Powdery mildew (PM), caused by the fungus Oidium lini in flax, can cause defoliation and reduce seed yield and quality. To date, one major dominant gene (Pm1) and three quantitative trait loci (QTL) on chromosomes 1, 7 and 9 have been reported for PM resistance. To fully dissect the genetic architecture of PM resistance and identify QTL, a diverse flax core collection of 372 accessions augmented with an additional 75 breeding lines were sequenced, and PM resistance was evaluated in the field for eight years (2010-2017) in Morden, Manitoba, Canada. Genome-wide association studies (GWAS) were performed using two single-locus and seven multi-locus statistical models with 247,160 single nucleotide polymorphisms (SNPs) and the phenotypes of the 447 individuals for each year separately as well as the means over years. A total of 349 quantitative trait nucleotides (QTNs) were identified, of which 44 large-effect QTNs (R2 = 10-30%) were highly stable over years. The total number of favourable alleles per accession was significantly correlated with PM resistance (r = 0.74), and genomic selection (GS) models using all identified QTNs generated significantly higher predictive ability (r = 0.93) than those constructed using the 247,160 genome-wide random SNP (r = 0.69), validating the overall reliability of the QTNs and showing the additivity of PM resistance in flax. The QTNs were clustered on the distal ends of all 15 chromosomes, especially on chromosome 5 (0.4-5.6 Mb and 9.4-16.9 Mb) and 13 (4.7-5.2 Mb). To identify candidate genes, a dataset of 3230 SNPs located in resistance gene analogues (RGAs) was used as input for GWAS, from which an additional 39 RGA-specific QTNs were identified. Overall, 269 QTN loci harboured 445 RGAs within the 200 Kb regions spanning the QTNs, including 45 QTNs located within the RGAs. These RGAs supported by significant QTN/SNP allele effects were mostly nucleotide binding site and leucine-rich repeat receptors (NLRs) belonging to either coiled-coil (CC) NLR (CNL) or toll interleukin-1 (TIR) NLR (TNL), receptor-like kinase (RLK), receptor-like protein kinase (RLP), transmembrane-coiled-coil (TM-CC), WRKY, and mildew locus O (MLO) genes. These results constitute an important genomic tool for resistance breeding and gene cloning for PM in flax.

Identification of key genes involved in tumor immune cell infiltration and cetuximab resistance in colorectal cancer.

BACKGROUND: The anti-epidermal growth factor receptor (EGFR) antibody introduces adaptable variations to the transcriptome and triggers tumor immune infiltration, resulting in colorectal cancer (CRC) treatment resistance. We intended to identify genes that play essential roles in cetuximab resistance and tumor immune cell infiltration. METHODS: A cetuximab-resistant CACO2 cellular model was established, and its transcriptome variations were detected by microarray. Meanwhile, public data from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) database were downloaded. Integrated bioinformatics analysis was applied to detect differentially expressed genes (DEGs) between the cetuximab-resistant and the cetuximab-sensitive groups. Then, we investigated correlations between DEGs and immune cell infiltration. The DEGs from bioinformatics analysis were further validated in vitro and in clinical samples. RESULTS: We identified 732 upregulated and 1259 downregulated DEGs in the induced cellular model. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses, along with Gene Set Enrichment Analysis and Gene Set Variation Analysis, indicated the functions of the DEGs. Together with GSE59857 and GSE5841, 12 common DEGs (SATB-2, AKR1B10, ADH1A, ADH1C, MYB, ATP10B, CDX-2, FAR2, EPHB2, SLC26A3, ORP-1, VAV3) were identified and their predictive values of cetuximab treatment were validated in GSE56386. In online Genomics of Drug Sensitivity in Cancer (GDSC) database, nine of twelve DEGs were recognized in the protein-protein (PPI) network. Based on the transcriptome profiles of CRC samples in TCGA and using Tumor Immune Estimation Resource Version 2.0, we bioinformatically determined that SATB-2, ORP-1, MYB, and CDX-2 expressions were associated with intensive infiltration of B cell, CD4+ T cell, CD8+ T cell and macrophage, which was then validated the correlation in clinical samples by immunohistochemistry. We found that SATB-2, ORP-1, MYB, and CDX-2 were downregulated in vitro with cetuximab treatment. Clinically, patients with advanced CRC and high ORP-1 expression exhibited a longer progression-free survival time when they were treated with anti-EGFR therapy than those with low ORP-1 expression. CONCLUSIONS: SATB-2, ORP-1, MYB, and CDX-2 were related to cetuximab sensitivity as well as enhanced tumor immune cell infiltration in patients with CRC.

Fungicide Management of Pasmo Disease of Flax and Sensitivity of Septoria linicola to Pyraclostrobin and Fluxapyroxad.

Among the diseases that have the potential to cause damage to flax (Linum usitatissimum L.) every year, the fungal disease pasmo, caused by Septoria linicola, is the most important. Fungicide application and a diverse crop rotation are the most important strategies to control this disease because there is little variation in resistance among flax cultivars. However, few fungicide products are available to flax growers. Field studies were conducted at four locations in Western Canada in 2014, 2015, and 2016 to determine the effect of two fungicide active ingredients applied singly and in combination: pyraclostrobin, fluxapyroxad, and fluxapyroxad + pyraclostrobin; and two application timings (early-flower, mid-flower, and at both stages) on pasmo disease severity, seed yield, and quality of flaxseed. The results indicated that among the three fungicide treatments, both pyraclostrobin and fluxapyroxad + pyraclostrobin controlled pasmo effectively; however, fluxapyroxad + pyraclostrobin was the most beneficial to improve the quality and quantity of the seed for most of the site-years. Disease severity in the fungicide-free control was 70%, and application of fluxapyroxad + pyraclostrobin decreased disease severity to 18%, followed by pyraclostrobin (23%) and fluxapyroxad (48%). Application of fluxapyroxad + pyraclostrobin also improved seed yield to 2,562 kg ha-1 compared with 1,874 kg ha-1 for the fungicide-free control, followed by pyraclostrobin (2,391 kg ha-1) and fluxapyroxad (2,340 kg ha-1). Fungicide application at early and mid-flowering stage had the same effects on disease severity and seed yield; however, seed quality was improved more when fungicide was applied at mid-flowering stage. Continuous use of the same fungicide may result in the development of fungicide insensitivity in the pathogen population. Thus, sensitivity of S. linicola isolates to pyraclostrobin and fluxapyroxad fungicides was determined by the spore germination and microtiter assay methods. Fungicide insensitivity was not detected among the 73 isolates of S. linicola tested against either of these fungicides.

Translocator protein (18 kDa) (TSPO) ligands activate Nrf2 signaling and attenuate inflammatory responses and oxidative stress in human retinal pigment epithelial cells.

Degeneration of the retinal pigment epithelium (RPE) is a hallmark of atrophic age-related macular degeneration (AMD). Microglia mediated inflammatory responses and oxidative stress are critical pathophysiological processes in the onset and progression of RPE degeneration. Given the central role of the RPE, strategies to protect these cells from damage caused by oxidative stress and inflammation present a promising therapeutic approach to mitigate AMD. Ligands for the translocator protein (18 kDa) (TSPO) have been shown to confer protection against retinal inflammatory responses and neurodegeneration by acting primarily through retinal glia. However, despite RPE cells demonstrating strong TSPO expression, it remains unclear whether TSPO ligands could also inhibit inflammatory responses of RPE cells. Here, we investigated the influence of three different TSPO ligands XBD173, PK11195 and Ro5-4864 on inflammatory responses in human ARPE-19 cells triggered by supernatants from reactive human microglial cells and the lysosomal destabilizer, LLOMe. Our findings revealed that TSPO ligands significantly inhibited proinflammatory gene expression, inflammasome-mediated caspase-1 activation, lipid accumulation and intracellular ROS levels in stressed ARPE-19 cells. Notably, TSPO ligands induced activation of Nrf2 pathway and its downstream regulated genes in ARPE-19 cells, with Hmox-1 being the most strongly upregulated gene. Collectively, our study indicates that TSPO ligands can enhance the Nrf2 antioxidant pathway in RPE cells and protect them from cellular damage resulting from inflammation and oxidative stress.

Evaluation of Genomic Prediction for Pasmo Resistance in Flax.

Pasmo (Septoria linicola) is a fungal disease causing major losses in seed yield and quality and stem fibre quality in flax. Pasmo resistance (PR) is quantitative and has low heritability. To improve PR breeding efficiency, the accuracy of genomic prediction (GP) was evaluated using a diverse worldwide core collection of 370 accessions. Four marker sets, including three defined by 500, 134 and 67 previously identified quantitative trait loci (QTL) and one of 52,347 PR-correlated genome-wide single nucleotide polymorphisms, were used to build ridge regression best linear unbiased prediction (RR-BLUP) models using pasmo severity (PS) data collected from field experiments performed during five consecutive years. With five-fold random cross-validation, GP accuracy as high as 0.92 was obtained from the models using the 500 QTL when the average PS was used as the training dataset. GP accuracy increased with training population size, reaching values >0.9 with training population size greater than 185. Linear regression of the observed PS with the number of positive-effect QTL in accessions provided an alternative GP approach with an accuracy of 0.86. The results demonstrate the GP models based on marker information from all identified QTL and the 5-year PS average is highly effective for PR prediction.

Accuracy of BISAP score in prediction of severe acute pancreatitis.

OBJECTIVE: To determine the accuracy of BISAP score in comparison with Ranson's score in detection of severe acute pancreatitis. METHODS: This cross sectional study was performed in Emergency department and Surgery department of Dow university hospital from January 2015 to December 2015. A total of 206 patients were included. Those diagnosed with acute pancreatitis on the basis of epigastric pain, serum amylase levels more than 300 (more than 3 times normal) and meeting the inclusion criteria were subjected to investigations for Ranson's and BISAP scoring. BISAP score was calculated at 24 hours and Ranson's score both at 24 and 48 hours. A score of > 3 was used to label severe acute pancreatitis according to both scoring systems. RESULTS: In our study accuracy to predict SAP by BISAP score was 76.2 % and Ranson's score was 82.2%. On the basis of sensitivity, Ranson's scores predicted SAP more accurately than BISAP scores (97.4% vs. 69.2%). Regarding specificity, both scores predicted SAP almost equally (78.4% vs. 77.8%). CONCLUSION: BISAP score is a valuable tool in predicting severe Acute Pancreatitis in early hours.

Resveratrol induces dynamic changes to the microglia transcriptome, inhibiting inflammatory pathways and protecting against microglia-mediated photoreceptor apoptosis.

Microglia activation is central to the pathophysiology of retinal degenerative disorders. Resveratrol, a naturally occurring non-flavonoid phenolic compound present in red wine has potent anti-inflammatory and immunomodulatory properties. However, molecular mechanisms by which resveratrol influences microglial inflammatory pathways and housekeeping functions remain unclear. Here, we first studied the immuno-modulatory effects of resveratrol on BV-2 microglial cells at the transcriptome level using DNA-microarrays and selected qRT-PCR analyses. We then analyzed resveratrol effects on microglia morphology, phagocytosis and migration and estimated their neurotoxicity on 661 W photoreceptors by quantification of caspase 3/7 levels. We found that resveratrol effectively blocked gene expression of a broad spectrum of lipopolysaccharide (LPS)-induced pro-inflammatory molecules, including cytokines and complement proteins. These transcriptomic changes were accompanied by potent inhibition of LPS-induced nitric oxide secretion and reduced microglia-mediated apoptosis of 661 W photoreceptor cultures. Our findings highlight novel targets involved in the anti-inflammatory and neuroprotective action of resveratrol against neuroinflammatory responses.

Genome-Wide Association Study and Selection Signatures Detect Genomic Regions Associated with Seed Yield and Oil Quality in Flax.

A genome-wide association study (GWAS) was performed on a set of 260 lines which belong to three different bi-parental flax mapping populations. These lines were sequenced to an averaged genome coverage of 19× using the Illumina Hi-Seq platform. Phenotypic data for 11 seed yield and oil quality traits were collected in eight year/location environments. A total of 17,288 single nucleotide polymorphisms were identified, which explained more than 80% of the phenotypic variation for days to maturity (DTM), iodine value (IOD), palmitic (PAL), stearic, linoleic (LIO) and linolenic (LIN) acid contents. Twenty-three unique genomic regions associated with 33 quantitative trait loci (QTL) for the studied traits were detected, thereby validating four genomic regions previously identified. The 33 QTL explained 48⁻73% of the phenotypic variation for oil content, IOD, PAL, LIO and LIN but only 8⁻14% for plant height, DTM and seed yield. A genome-wide selective sweep scan for selection signatures detected 114 genomic regions that accounted for 7.82% of the flax pseudomolecule and overlapped with the 11 GWAS-detected genomic regions associated with 18 QTL for 11 traits. The results demonstrate the utility of GWAS combined with selection signatures for dissection of the genetic structure of traits and for pinpointing genomic regions for breeding improvement.

Activated microglia trigger inflammasome activation and lysosomal destabilization in human RPE cells.

Activation of the innate immune system plays a major role in retinal degenerative diseases including age-related macular degeneration (AMD). In this study, we investigated whether reactive microglia trigger and sustain NLRP3 inflammasome activation in human retinal pigment epithelium (ARPE-19) cells. Specifically, we analyzed the potential of cell culture supernatants from lipopolysaccharide (LPS)-stimulated human microglia in combination with the lysosomal destabilization agent Leu-Leu-O-Me (LLOMe) to activate the inflammasome in ARPE-19 cells. We found disorganization of ARPE-19 cytoskeletal structure after incubation with conditioned media of LPS-stimulated microglia and LLOMe and accumulation of lipid deposits in these cells using Nile Red staining. LC3-II, the active form of the autophagy marker microtubule-associated protein 1 light chain 3 beta (LC3B), was also elevated in ARPE-19 cells after inducing inflammasome activation. Finally, a significant increase of transcripts for IL-6, IL-8, IL-1ß, GM-CSF and CCL-2 was detected in ARPE-19 stimulated with both microglia-conditioned medium and LLOMe. Our findings highlight a potential role of microglia in RPE inflammasome activation.

Local and Non-local Regularization Techniques in Emission (PET/SPECT) Tomographic Image Reconstruction Methods.

Emission tomographic image reconstruction is an ill-posed problem due to limited and noisy data and various image-degrading effects affecting the data and leads to noisy reconstructions. Explicit regularization, through iterative reconstruction methods, is considered better to compensate for reconstruction-based noise. Local smoothing and edge-preserving regularization methods can reduce reconstruction-based noise. However, these methods produce overly smoothed images or blocky artefacts in the final image because they can only exploit local image properties. Recently, non-local regularization techniques have been introduced, to overcome these problems, by incorporating geometrical global continuity and connectivity present in the objective image. These techniques can overcome drawbacks of local regularization methods; however, they also have certain limitations, such as choice of the regularization function, neighbourhood size or calibration of several empirical parameters involved. This work compares different local and non-local regularization techniques used in emission tomographic imaging in general and emission computed tomography in specific for improved quality of the resultant images.