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Abstract Purpose This research probes into genes related to the risk of concurrent kidney injury in septic patients to provide reliable targets for early identification of sepsis-associated kidney injury and prognosis research. Methods Peripheral blood samples were isolated from 10 healthy individuals and 22 septic patients for RNA sequencing and differential analyses. Meanwhile, the top 1000 kidney-associated genes were chosen from the GTEx website. Subsequently, DEGs in sepsis were intersected with kidney-specific genes, followed by GO and KEGG analyses on these intersection genes. The predictive ability of hub genes for prognosis was evaluated using survival analysis. A meta-analysis was carried out to determine the differential expression profiles of hub genes between the sepsis surviving and dead groups. ROC curves were plotted to screen hub genes and clarify their diagnostic value. Cell line localization of hub genes was further clarified through single-cell RNA sequencing. Results There were 40 targets in the intersection between 1328 DEGs in sepsis and 1000 kidney-associated genes. These intersection genes were mainly engaged in functions and signaling pathways .Survival curves linked the higher levels of CD74 and IL32 to raised survival rates of patients, indicating positive correlations of CD74 and IL32 with patient prognosis. Meta-analysis revealed that CD74 and IL32 were highly expressed in the sepsis surviving group but poorly expressed in the sepsis dead group, showing statistically significant differences between these two groups. In the ROC analysis of hub genes, AUC values of CD74 (0.983) and IL32 (0.980) suggested their high diagnostic value. Lastly, CD74 was principally expressed in macrophages, while IL32 was mainly presented in T cells. Conclusion CD74 and IL32, as biomarkers for early diagnosis and prognostic evaluation of sepsis complicated with kidney injury, are highly expressed in macrophages and T cells, respectively, providing new diagnostic and prognostic targets for sepsis complicated with acute kidney injury.

Background: Septic shock is associated with high mortality and there is significant heterogeneity in the host response. The aim of this study was to understand the genome-wide expression transcriptomic signatures in children with septic shock and correlate them with outcomes. Methods: This was a prospective study conducted on children (aged 1 month to 18 years) admitted to the PICU (June--December 2021) with septic shock. Demographic details, clinical details, and administered treatment were collected. Differential gene expression analysis was performed to understand the genes and pathways affecting in different subjects. Results: Fifteen patients were recruited (Septic shock survivors (n = 5), nonsurvivors (n = 5), and non-sepsis controls (n = 5). The median age of the patients in survivors and nonsurvivors was 15 (13, 24) months and 180 (180, 184) months, respectively. The sepsis-survivors vs nonsepsis possessed 983 upregulated and 624 downregulated genes while comparing sepsis nonsurvivors (SNS) with nonsepsis yielded 1,854 upregulated and 1,761 downregulated genes. Further, the lowest number of deregulated genes (383 upregulated and 486 downregulated) were present in SNS compared to sepsis survivors. The major Reactome pathways, found upregulated in SNSs relative to survivors included CD22 mediated B cell receptor (BCR) regulation, scavenging of heme from plasma, and creation of C4 and C2 activators while T cell receptor (TCR) signaling, the common pathway of fibrin clot formation and generation of second messenger molecules were found to be downregulated. Conclusion: Mortality-related gene signatures are promising diagnostic biomarkers for pediatric sepsis. [ABSTRACT FROM AUTHOR]

The surface pre-reacted glass ionomer (S-PRG) filler is a type of bioactive functional glass that releases six different ions. This study examined the effects of the S-PRG filler eluate on Streptococcus mutans in the presence of sucrose. In a solution containing S. mutans, the concentrations of BO33−, Al3+, Sr2+, and F− were significantly higher in the presence of the S-PRG filler eluate than in its absence (p < 0.001). The concentrations of these ions further increased in the presence of sucrose. Additionally, the S-PRG filler eluate significantly reduced glucan formation by S. mutans (p < 0.001) and significantly increased the pH of the bacterial suspension (p < 0.001). Bioinformatic analyses revealed that the S-PRG filler eluate downregulated genes involved in purine biosynthesis (purC, purF, purL, purM, and purN) and upregulated genes involved in osmotic pressure (opuAa and opuAb). At a low pH (5.0), the S-PRG filler eluate completely inhibited the growth of S. mutans in the presence of sucrose and significantly increased the osmotic pressure of the bacterial suspension compared with the control (p < 0.001). These findings suggest that ions released from the S-PRG filler induce gene expression changes and exert an inhibitory effect on S. mutans in the presence of sucrose. [ABSTRACT FROM AUTHOR]

Dystrophinopathy is caused by alterations in the dystrophin gene. The severe phenotype, Duchenne muscular dystrophy (DMD), is caused by a lack of dystrophin in skeletal muscles, resulting in necrosis and regenerating fibers, inflammatory cells, and muscle fibrosis. Progressive muscle weakness is a characteristic finding of this condition. Here, we encountered a rare case of a 10‐year‐old patient with asymptomatic dystrophinopathy with no dystrophin expression and investigated the reason for the absence of muscle weakness to obtain therapeutic insights for DMD. Using RNA‐seq analysis, gene expression in skeletal muscles was compared among patients with asymptomatic dystrophinopathy, three patients with typical DMD, and two patients without dystrophinopathy who were leading normal daily lives. Cathepsin K (CTSK), myosin heavy chain 3 (MYH3), and nodal modulator 3‐like genes exhibited a >8‐fold change, whereas crystallin mu gene (CRYM) showed a <1/8‐fold change in patients with typical DMD compared with their expression in the patient with asymptomatic dystrophinopathy. Additionally, CTSK and MYH3 expression exhibited a >16‐fold change (P < 0.01), whereas CRYM expression showed a <1/16‐fold change (P < 0.01) in patients with typical DMD compared with their expression in those without dystrophinopathy. CTSK plays an essential role in skeletal muscle loss, fibrosis, and inflammation in response to muscles injected with cardiotoxin, one of the most common reagents that induce muscle injury. Increased CTSK expression is associated with muscle injury or necrosis in patients with DMD. The lack of muscle weakness in the patient with asymptomatic dystrophinopathy might be attributed to the low CTSK expression in the muscles. To the best of our knowledge, this is the first report to demonstrate that CTSK expression was significantly higher in the skeletal muscles of patients with DMD with a typical phenotype than in those without dystrophinopathy. [ABSTRACT FROM AUTHOR]

ABSTRACTHousehold contacts (HHCs) of patients with active tuberculosis (ATB) are at higher risk of Mycobacterium tuberculosis (M. tuberculosis) infection. However, the immune factors responsible for different defense responses in HHCs are unknown. Hence, we aimed to evaluate transcriptome signatures in human peripheral blood mononuclear cells (PBMCs) of HHCs to aid risk stratification. We recruited 112 HHCs of ATB patients and followed them for 6 years. Among the HHCs, only 2 developed ATB, while the remaining HHCs were classified into three groups: (1) HHC-1 group (n = 23): HHCs with consistently positive T-SPOT.TB test, negative chest radiograph, and no clinical symptoms or evidence of ATB during the 6-year follow-up period; (2) HHC-2 group (n = 15): HHCs with an initial positive T-SPOT result that later became negative without evidence of ATB; (3) HHC-3 group (n = 14): HHCs with a consistently negative T-SPOT.TB test and no clinical or radiological evidence of ATB. HHC-2 and HHC-3 were combined as HHC-23 group for analysis. RNA sequencing (RNA-seq) in PBMCs, with and without purified protein derivative (PPD) stimulation, identified significant differences in gene signatures between HHC-1 and HHC-23. Gene ontology analysis revealed functions related to bacterial pathogens, leukocyte chemotaxis, and inflammatory and cytokine responses. Modules associated with clinical features in the HHC-23 group were linked to the IL-17 signaling pathway, ferroptosis, complement and coagulation cascades, and the TNF signaling pathway. Validation using real-time PCR confirmed key genes like ATG-7, CXCL-3, and TNFRSF1B associated with infection outcomes in HHCs. Our research enhances understanding of disease mechanisms in HHCs. HHCs with persistent latent tuberculosis infection (HHC-1) showed significantly different gene expression compared to HHCs with no M. tuberculosis infection (HHC-23). These findings can help identify HHCs at risk of developing ATB and guide targeted public health interventions.

Penicillium italicum, a major postharvest pathogen, causes blue mold rot in citrus fruits through the deployment of various virulence factors. Recent studies highlight the role of the epigenetic reader, SntB, in modulating the pathogenicity of phytopathogenic fungi. Our research revealed that the deletion of the SntB gene in P. italicum led to significant phenotypic alterations, including delayed mycelial growth, reduced spore production, and decreased utilization of sucrose. Additionally, the mutant strain exhibited increased sensitivity to pH fluctuations and elevated iron and calcium ion stress, culminating in reduced virulence on Gannan Novel oranges. Ultrastructural analyses disclosed notable disruptions in cell membrane integrity, disorganization within the cellular matrix, and signs of autophagy. Transcriptomic data further indicated a pronounced upregulation of hydrolytic enzymes, oxidoreductases, and transport proteins, suggesting a heightened energy demand. The observed phenomena were consistent with a carbon starvation response potentially triggering apoptotic pathways, including iron-dependent cell death. These findings collectively underscored the pivotal role of SntB in maintaining the pathogenic traits of P. italicum, proposing that targeting PiSntB could offer a new avenue for controlling citrus fungal infections and subsequent fruit decay. [ABSTRACT FROM AUTHOR]

Purpose: Glioblastoma is a malignant brain tumor with a poor prognosis. Genetic mutations associated with this disease are complex are not fully understood and require further elucidation for the development of new treatments. The purpose of this study was to comprehensively analyze genetic mutations in glioblastomas and evaluate the usefulness of RNA sequencing. Patients and methods: We analyzed 42 glioblastoma specimens that were resected in routine clinical practice and found wild-type variants of the IDH1 and IDH2 genes. RNA was extracted from frozen specimens and sequenced, and genetic analyses were performed using the CLC Genomics Workbench. Results: The most common genetic alterations in the 42 glioblastoma specimens were TP53 mutation (28.6%), EGFR splicing variant (16.7%), EGFR mutation (9.5%), and FGFR3 fusion (9.5%). Novel genetic mutations were detected in 8 patients (19%). In 12 cases (28.6%), driver gene mutations were not detected, suggesting an association with PPP1R14A overexpression. Our findings suggest the transcription factors SOX10 and NKX6-2 are potential markers in glioblastoma. Conclusion: RNA sequencing is a promising approach for genotyping glioblastomas because it provides comprehensive information on gene expression and is relatively cost-effective. [ABSTRACT FROM AUTHOR]

Esophageal cancer ranks among the ten most common cancers worldwide. Despite the adoption of neoadjuvant concurrent chemoradiotherapy (nCCRT) followed by surgery as the standard treatment approach in recent years, the local recurrence rate remains high. In this study, we employed RNA-seq to investigate distinctive gene expression profiles in esophageal squamous cell carcinoma (ESCC) with or without recurrence following a standard treatment course. Our findings indicate that recurrent ESCC exhibits heightened keratinizing and epidermis development activity compared to non-recurrent ESCC. We identified TP63 as a potential candidate for distinguishing clinical outcomes. Furthermore, immunohistochemistry confirmed the trend of TP63 overexpression in ESCC recurrence. Patients with elevated TP63 expression had poorer overall survival and lower 3-year recurrence-free survival. This study underscores the potential of TP63 as a biomarker for detecting cancer recurrence and suggests its role in guiding future treatment options. [ABSTRACT FROM AUTHOR]

Introduction: Innate immune cells are important in tumor immunotherapy. Natural killer cells (NKCs) are also categorized as innate immune cells and can control tumor growth and metastatic spread. Glioblastoma (GBM) is the most common and aggressive primary brain tumor in adults. NKC-based immunotherapy is a promising treatment strategy against GBM. We previously reported a feeder-free expansion system that yielded large-scale highly purified and cytotoxic NKCs derived from human cord blood (CB). In the present study, we performed comprehensive genomic analyses of NKCs generated from human CB (CBNKCs) as compared those from human peripheral blood (PB) (PBNKCs). Methods: Frozen T cell-free CB mononuclear cells were cultured with recombinant human interleukin (rhIL)-18 and rhIL-2 in anti-NKp46 and anti-CD16 antibody immobilization settings. After 14-day expansion, the total RNA of the CBNKCs or PBNKCs was extracted and transcriptomic analyses was performed to determine their similarities and differences. We also examined CBNKC and PBNKC activity against a GBM cell line. Results: Differential expression gene analysis revealed that some NK activating and inhibitory receptors were significantly downregulated in the CBNKCs compared to PBNKCs. Furthermore, genes related to anti-apoptosis and proliferation were upregulated in the CBNKCs. Enrichment analysis determined that the gene sets related to immune response and cytokines were enriched in the CBNKCs. Gene set enrichment analysis demonstrated that the immune response pathway was upregulated in the CBNKCs. Cytotoxic assays using impedance-based cell analyzer revealed that the CBNKCs enhanced NKC-mediated cytotoxicity on GBM cells as compared to the PBNKCs. Conclusions: We demonstrated the characteristics of human CBNKCs. Cell-based therapy using the CBNKCs is promising for treating GBM.

Understanding how abiotic stress influences plant development is important for crop development and management. The gravity changes force may reveal the additional details of the interconnected nature of plants' stress-signaling pathways. Sugarcane plants were submitted to gravity-changing forces using the VSB-30 sounding rocket to identify how these plants respond to this abiotic stress using histological, biochemical, and molecular approaches to evaluate this response. The histological analysis allowed us to observe that this alteration culminates in the intense disorganization of vascular bundles and higher lignin accumulation in plant cell walls at the adaxial epidermis and the mesophyll cells. An increase in enzyme activity from superoxide dismutase and guaiacol peroxidase was also observed. Our results indicate that sugarcane's response is similar to other abiotic stress responses, such as oxidative stress. The RNA sequencing data showed that these plantlets had a different expression on pathways associated with signal perception, plant metabolism involving photosynthesis, amino acid synthesis, cell division, DNA repair, and oxidative enzymes for scavenging ROS. These results presented here using sugarcane plantlets expand our knowledge of how plants can respond to the forces of gravity changes. The expression pattern in roots and leaves showed integrated and distinct responses for some known pathways, and both tissues expressed stress-related transcripts. [ABSTRACT FROM AUTHOR]

The molecular mechanism involved in chickpea (Cicer arietinum L.) resistance to the necrotrophic fungal pathogen Ascochyta rabiei is not well documented. A. rabiei infection can cause severe damage in chickpea, resulting in significant economic losses. Understanding the resistance mechanism against ascochyta blight can help to define strategies to develop resistant cultivars. In this study, differentially expressed genes from two partially resistant cultivars (CDC Corinne and CDC Luna) and a susceptible cultivar (ICCV 96029) to ascochyta blight were identified in the early stages (24, 48 and 72 h) of A. rabiei infection using RNA-seq. Altogether, 3073 genes were differentially expressed in response to A. rabiei infection across different time points and cultivars. A larger number of differentially expressed genes (DEGs) were found in CDC Corinne and CDC Luna than in ICCV 96029. Various transcription factors including ERF, WRKY, bHLH and MYB were differentially expressed in response to A. rabiei infection. Genes involved in pathogen detection and immune signalings such as receptor-like kinases (RLKs), Leucine-Rich Repeat (LRR)-RLKs, and genes associated with the post-infection defence response were differentially expressed among the cultivars. GO functional enrichment and pathway analysis of the DEGs suggested that the biological processes such as metabolic process, response to stimulus and catalytic activity were overrepresented in both resistant and susceptible chickpea cultivars. The expression patterns of eight randomly selected genes revealed by RNA-seq were confirmed by quantitative PCR (qPCR) analysis. The results provide insights into the complex molecular mechanism of the chickpea defence in response to the A. rabiei infection. [ABSTRACT FROM AUTHOR]

In an attempt to improve the analysis DNA sequence, a new intelligent deep analysis algorithm called reduce frequency bast on fast frequency graph mining (RF-FFGM) is established; This algorithm at the beginning converts the DNA sequence into RNA sequences after that split these sequence into multi subsequence through determined specific equation for start and end point of each sequence. After that each subsequence represent as subgraph after label to the bonds between each pair of components related to RNA (i.e., A, G, U, C) these bounds include 16 labels used as Knowledge Constructions (KC)) for this work. After that apply the steps of FFGM that select after deep analysis to graph mining techniques (GSpan, FFSM, Hybrid-Tree-Miner, Approximate Frequent Sub-graph, CloGraMi and FFSM) this analysis focus on determined (the main programming steps, main parameters, advantages, disadvantages) for each algorithm. We discovery FFGM finds the frequent in a short time, because it building matrix code for connection edge and transforming matrices into incidence matrix, also; we found FFGM can get all the edges that have the highest contact with the other edges, so from the second stage therefore it avoids us from going through a sequential path to find duplicate edges. RF-FFGM appears as a pragmatic algorithm, it proves their robust to work with DNA sequence to reduce the computation and time.

STUDY QUESTION What are the dynamic expression features of plasma microRNAs (miRNAs) during the peri-implantation period in women with successful pregnancy via single frozen-thawed blastocyst transfer? SUMMARY ANSWER There is a significant change in the plasma miRNA expression profile before and after blastocyst transfer, during the window of implantation. WHAT IS KNOWN ALREADY The expression of miRNAs in peripheral blood has indicative functions during the peri-implantation period. Nevertheless, the dynamic expression profile of circulating miRNAs during the peri-implantation stage in women with a successful pregnancy has not been studied. STUDY DESIGN, SIZE, DURATION Seventy-six women treated for infertility with a single frozen-thawed blastocyst transfer in a natural cycle were included in this study. Among them, 57 women had implantation success and a live birth, while 19 patients experienced implantation failure. Peripheral blood samples were collected at five different time points throughout the peri-implantation period, including D0 (ovulation day), D3, D5, D7, and D9 in this cycle of embryo transfer. The plasma miRNAs in women with blastocyst transfer were isolated, sequenced, and analyzed. PARTICIPANTS/MATERIALS, SETTING, METHODS Peripheral blood samples were collected in EDTA tubes and stored at −80°C until further use. miRNAs were isolated from blood, cDNA libraries were constructed, and the resulting sequences were mapped to the human genome. The plasma miRNAs were initially analyzed in a screening cohort (n = 34) with successful pregnancy. Trajectory analysis, including a global test and pairwise comparisons, was performed to detect dynamic differentially expressed (DE) miRNAs. Fuzzy c-means clustering was conducted for all dynamic DE miRNAs. The correlation between DE miRNAs and clinical characteristics of patients was investigated using a linear mixed model. Target genes of the miRNAs were predicted, and functional annotation analysis was performed. The expression of DE miRNAs was also identified in a validation set consisting of women with successful (n = 23) and unsuccessful (n = 19) pregnancies. MAIN RESULTS AND THE ROLE OF CHANCE Following small RNA sequencing, a total of 2656 miRNAs were determined as valid read values. After trajectory analysis, 26 DE miRNAs (false discovery rate < 0.05) were identified by the global test, while pairwise comparisons in addition identified 20 DE miRNAs. A total of seven distinct clusters representing different temporal patterns of miRNA expression were discovered. Nineteen DE miRNAs were further identified to be associated with at least one clinical trait. Endometrium thickness and progesterone level showed a correlation with multiple DE miRNAs (including two of the same miRNAs, hsa-miR-1-3p and hsa-miR-6741-3p). Moreover, the 19 DE miRNAs were predicted to have 403 gene targets, and there were 51 (12.7%) predicted genes likely involved in both decidualization and embryo implantation. Functional annotation for predicted targets of those clinically related DE miRNAs suggested the involvement of vascular endothelial growth factor and Wnt signaling pathways, as well as responses to hormones, immune responses, and cell adhesion-related signaling pathways during the peri-implantation stage. LARGE SCALE DATA The raw miRNA sequence data reported in this article have been deposited in the Genome Sequence Archive (GSA-Human: HRA005227) and are publicly accessible at https://ngdc.cncb.ac.cn/gsa-human/browse/HRA005227. LIMITATIONS, REASONS FOR CAUTION Although the RNA sequencing results revealed the global dynamic changes of miRNA expression, further experiments examining the clinical significance of the identified DE miRNAs in embryo implantation outcome and the relevant regulatory mechanisms involved are warranted. WIDER IMPLICATIONS OF THE FINDINGS Understanding the dynamic landscape of the miRNA transcriptome could shed light on the physiological mechanisms involved from ovulation to the post-implantation stage, as well as identifying biomarkers that characterize stage-related biological process. STUDY FUNDING/COMPETING INTEREST(S) The study was funded by the Major clinical research project of Tangdu Hospital (2021LCYJ004) and the Discipline Platform Improvement Plan of Tangdu Hospital (2020XKPT003). The funders had no influence on the study design, data collection, and analysis, decision to publish, or preparation of the article. There are no conflicts of interest to declare. [ABSTRACT FROM AUTHOR]

Penicillium italicum, a major postharvest pathogen, causes blue mold rot in citrus fruits through the deployment of various virulence factors. Recent studies highlight the role of the epigenetic reader, SntB, in modulating the pathogenicity of phytopathogenic fungi. Our research revealed that the deletion of the SntB gene in P. italicum led to significant phenotypic alterations, including delayed mycelial growth, reduced spore production, and decreased utilization of sucrose. Additionally, the mutant strain exhibited increased sensitivity to pH fluctuations and elevated iron and calcium ion stress, culminating in reduced virulence on Gannan Novel oranges. Ultrastructural analyses disclosed notable disruptions in cell membrane integrity, disorganization within the cellular matrix, and signs of autophagy. Transcriptomic data further indicated a pronounced upregulation of hydrolytic enzymes, oxidoreductases, and transport proteins, suggesting a heightened energy demand. The observed phenomena were consistent with a carbon starvation response potentially triggering apoptotic pathways, including iron-dependent cell death. These findings collectively underscored the pivotal role of SntB in maintaining the pathogenic traits of P. italicum, proposing that targeting PiSntB could offer a new avenue for controlling citrus fungal infections and subsequent fruit decay.

Esophageal cancer ranks among the ten most common cancers worldwide. Despite the adoption of neoadjuvant concurrent chemoradiotherapy (nCCRT) followed by surgery as the standard treatment approach in recent years, the local recurrence rate remains high. In this study, we employed RNA-seq to investigate distinctive gene expression profiles in esophageal squamous cell carcinoma (ESCC) with or without recurrence following a standard treatment course. Our findings indicate that recurrent ESCC exhibits heightened keratinizing and epidermis development activity compared to non-recurrent ESCC. We identified TP63 as a potential candidate for distinguishing clinical outcomes. Furthermore, immunohistochemistry confirmed the trend of TP63 overexpression in ESCC recurrence. Patients with elevated TP63 expression had poorer overall survival and lower 3-year recurrence-free survival. This study underscores the potential of TP63 as a biomarker for detecting cancer recurrence and suggests its role in guiding future treatment options.

Background: The Fangji Dihuang formulation (FJDHF) is a widely recognized Traditional Chinese Medicine (TCM) formula that consists of five plant drugs: Stephaniae Tetrandrae Radix, Cinnamomi Ramulus, Rehmanniae Radix, Saposhnikoviae Radix, and Glycyrrhiza Urensis Fisch. This formulation has been known to exhibit clinical therapeutic effects in the treatment of inflammatory skin diseases. However, there is a lack of pharmacological research on its anti-atopic dermatitis (AD) activity.Methods: To investigate the potential anti-AD activity of FJDHF, DNCB was used to induce AD-like skin inflammation in the back of mice. Following successful modeling, the mice were administered FJDHF orally. The extent of the inflammatory skin lesions was recorded at day 4, 7, 14 and 28. UHPLC-Q-Exactive Orbitrap MS was used to identify and match the compounds present in FJDHF with ITCM, TCMIP and TCMSID. In silico predictions of potential target proteins of the identified compounds were obtained from SwishTargetPrediction, ITCM and TargetNet databases. AD-related genes were identified from GSE32924 data set, and FJDHF anti-AD hub genes were identified by MCODE algorithm. ClueGo enrichment analysis was employed to identify the core pathway of FJDHF’s anti-AD effect. To further investigate the anti-AD effect of FJDHF, single-cell RNA sequencing data set (GSE148196) from AD patients was analyzed to determine the target cells and signaling pathways of FJDHF in AD. Finally, rt-PCR, flow cytometry, and mouse back skin RNA sequencing were utilized to validate our findings.Results: FJDHF was found to be effective in improving the degree of the AD-like lesions in the mice. Network pharmacological analysis revealed the core pathway of FJDHF to be the IL-17 signaling pathway, which is interactively associated with cytokines. Single-cell RNA sequencing analysis suggested that FJDHF may play an anti-AD role by influencing dendritic cells. Flow cytometry and rt-PCR results showed that FJDHF can reduce the influence of AD sample of IL-4, IFN-γ and the expression of IL-17. The RNA sequencing of mouse back skin also confirmed our conclusion.Conclusion: FJDHF may inhibit DNCB-induced AD-like skin inflammation in mice by inhibiting the IL-17 signaling pathway. Thus, FJDHF can be considered as a potential therapeutic agent for AD.

Vimentin is a stable mesenchymal immunohistochemical marker and is widely recognized as a major marker of mesenchymal tumors. The purpose of the present study was to investigate if the vimentin expression status might serve as a significant predictor of outcomes in patients with invasive breast carcinoma of no special type (IBC‐NST) and to investigate, by comprehensive RNA sequencing analyses, the mechanisms involved in the heightened malignant potential of vimentin‐positive IBC‐NSTs. This study, conducted using the data of 855 patients with IBC‐NST, clearly identified vimentin expression status as a very important independent biological parameter for accurately predicting the outcomes in patients with IBC‐NST. RNA sequence analyses clearly demonstrated significant upregulation of coding RNAs known to be closely associated with cell proliferation or cellular senescence, and significant downregulation of coding RNAs known to be closely associated with transmembrane transport in vimentin‐positive IBC‐NSTs. We conclude that vimentin‐positive IBC‐NSTs show heightened malignant biological characteristics, possibly attributable to the upregulation of RNAs closely associated with proliferative activity and cellular senescence, and downregulation of RNAs closely associated with transmembrane transport in IBC‐NSTs. [ABSTRACT FROM AUTHOR]

Background: Coronavirus disease 2019 (COVID-19) shares similar immune characteristics with autoimmune diseases like systemic lupus erythematosus (SLE). However, such associations have not yet been investigated at the single-cell level. Methods: We integrated and analyzed RNA sequencing results from different patients and normal controls from the GEO database and identified subsets of immune cells that might involve in the pathogenesis of SLE and COVID- 19. We also disentangled the characteristic alterations in cell and molecular subset proportions as well as gene expression patterns in SLE patients compared with COVID-19 patients. Results: Key immune characteristic genes (such as CXCL10 and RACK1) and multiple immune-related pathways (such as the coronavirus disease-COVID-19, T-cell receptor signaling, and MIF-related signaling pathways) were identified. We also highlighted the differences in peripheral blood mononuclear cells (PBMCs) between SLE and COVID-19 patients. Moreover, we provided an opportunity to comprehensively probe underlying B-cell‒cell communication with multiple ligand–receptor pairs (MIF-CD74+CXCR4, MIF-CD74+CD44) and the differentiation trajectory of B-cell clusters that is deemed to promote cell state transitions in COVID-19 and SLE. Conclusions: Our results demonstrate the immune response differences and immune characteristic similarities, such as the cytokine storm, between COVID-19 and SLE, which might pivotally function in the pathogenesis of the two diseases and provide potential intervention targets for both diseases. [ABSTRACT FROM AUTHOR]

Context Intrauterine inflammation, a representative stressor for the fetus, has been shown to alter the hypothalamus–pituitary–adrenal (HPA) axis reactivity in preterm fetuses and increase postnatal cortisol production. However, the mechanism of this alteration has not yet been elucidated. Objective We aimed to clarify the effects of endotoxin-induced intrauterine inflammation on the HPA axis of periviable sheep fetuses. Methods Fetal sheep (0.63 term) were divided into 2 groups: (1) the endotoxin group, in which the endotoxin was injected into the amniotic fluid; and (2) the control group, in which the saline solution was injected instead. A corticotropin-releasing hormone (CRH) challenge test was performed on the third day after injection to evaluate the cortisol-producing capacity of each group. Gene expression levels in the fetal adrenal glands of each group were analyzed by RNA-seq. Results The cortisol levels were significantly higher in the endotoxin group than in the control group after CRH challenge (P =.02). There were no significant differences in the responsiveness of adrenocorticotropin and cortisone between the 2 groups. Gene expression levels of the following enzymes involved in cortisol synthesis were significantly elevated in the endotoxin group: cytochrome P450 family (CYP) 11 subfamily A member 1 (log2FC 1.75), CYP 17 subfamily A member 1 (log2FC 3.41), 3β-hydroxysteroid dehydrogenase type I (log2FC 1.13), steroidogenic acute regulatory protein (log2FC 1.09), and CYP 21 (log2FC 0.89). Conclusion Periviable fetuses exposed to inflammation in utero have altered the responsiveness of the HPA axis with increased expression of enzymes involved in cortisol synthesis in the adrenal gland. [ABSTRACT FROM AUTHOR]

Background: Current biological research extensively describes the interactions of molecules such as RNA with other nucleic acids or proteins. However, the relatively recent discovery of nuclear phospholipids playing biologically relevant processes outside membranes, as well as, RNA-lipid interactions shows the need for new methods to explore the identity of these RNAs. Methods and results: In this study, we describe the method for LIPID-RNA isolation followed by sequencing and analysis of the RNA that has the ability to interact with the selected lipids. Here we utilized specific phospholipid coated beads for selective RNA binding. We tested RNA from organisms belonging to different realms (human, plant, and yeast), and tested their ability to bind a specific lipid. Conclusions: The results show several RNAs differentially enriched in the pull-down of phosphatidyl Inositol 4,5 bisphosphate coated beads. This method is helpful to screen lipid-binding RNA, which may have relevant biological functions. The method can be used with different lipids and comparison of pull-downs and can narrow the selection of RNAs that interact with a particular lipid for further studies. [ABSTRACT FROM AUTHOR]

Hydroxyapatite adsorbs various substances, but little is known about the effects on oral bacteria of adsorption onto hydroxyapatite derived from scallop shells. In the present study, we analyzed the effects of adsorption of Streptococcus mutans onto scallop-derived hydroxyapatite. When scallop-derived hydroxyapatite was mixed with S. mutans, a high proportion of the bacterial cells adsorbed onto the hydroxyapatite in a time-dependent manner. An RNA sequencing analysis of S. mutans adsorbed onto hydroxyapatite showed that the upregulation of genes resulted in abnormalities in pathways involved in glycogen and histidine metabolism and biosynthesis compared with cells in the absence of hydroxyapatite. S. mutans adsorbed onto hydroxyapatite was not killed, but the growth of the bacteria was inhibited. Electron microscopy showed morphological changes in S. mutans cells adsorbed onto hydroxyapatite. Our results suggest that hydroxyapatite derived from scallop shells showed a high adsorption ability for S. mutans. This hydroxyapatite also caused changes in gene expression related to the metabolic and biosynthetic processes, including the glycogen and histidine of S. mutans, which may result in a morphological change in the surface layer and the inhibition of the growth of the bacteria. [ABSTRACT FROM AUTHOR]

Bladder cancer is one of the most common malignant neoplasia. In 2020, the World Health Organization reported 573,278 cases and 212,536 deaths secondary to bladder cancer. The reported proportion of male and female is 4:1. As other malignant neoplasia, bladder cancer has shown that short molecules of non-coding ribonucleic acid, called microRNAs, play a regulatory role in the biological behavior of cancer cells and also in immune response cells. Around 2300 mature and functional miRNAs regulate gene expression post-transcriptionally by binding complementary bases to the messenger RNA sequence. This binding results in a decrease in messenger RNA translation and its subsequent degradation. There is also evidence that a specific microRNA can interact with various messenger RNA sequences, and conversely, a messenger RNA sequence can be the molecular target of multiple microRNAs. The aim of the present review is to show a general panorama of microRNAs role in bladder cancer cells. [ABSTRACT FROM AUTHOR]

• Handle Analysis crystal structure macrodomain that consider one of the hot subjects today form DNA Sequence. • Split any structure of DNA based on Novel Meta-Heuristic Algorithm with rules. • Build RF-FFGM that finds the frequent in a short time, because it building matrix code for connection edge and transforming matrices into incidence matrix. • Perform Deep analysis to graph mining techniques (GSpan, FFSM, Hybrid-Tree-Miner, Approximate Frequent Sub-graph, CloGraMi and FFSM) this analysis focus on determined (the main programming steps, main parameters, advantages, disadvantages) for each algorithm. • Comparison among the Main Parameters, which affect in mining sub-graph techniques. In an attempt to improve the analysis DNA sequence, a new intelligent deep analysis algorithm called reduce frequency bast on fast frequency graph mining (RF-FFGM) is established; This algorithm at the beginning converts the DNA sequence into RNA sequences after that split these sequence into multi subsequence through determined specific equation for start and end point of each sequence. After that each subsequence represent as subgraph after label to the bonds between each pair of components related to RNA (i.e., A, G, U, C) these bounds include 16 labels used as Knowledge Constructions (KC)) for this work. After that apply the steps of FFGM that select after deep analysis to graph mining techniques (GSpan, FFSM, Hybrid-Tree-Miner, Approximate Frequent Sub-graph, CloGraMi and FFSM) this analysis focus on determined (the main programming steps, main parameters, advantages, disadvantages) for each algorithm. We discovery FFGM finds the frequent in a short time, because it building matrix code for connection edge and transforming matrices into incidence matrix, also; we found FFGM can get all the edges that have the highest contact with the other edges, so from the second stage therefore it avoids us from going through a sequential path to find duplicate edges. RF-FFGM appears as a pragmatic algorithm, it proves their robust to work with DNA sequence to reduce the computation and time. [ABSTRACT FROM AUTHOR]

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Non-alcoholic fatty liver disease (NAFLD) is one of the most common chronic liver diseases, and there are no effective drugs available so far. Lactucin and Lactucopicrin belong to sesquiterpene lactones and are extracted from Cichorium glandulosum Boiss. et Huet (CG) possesses multiple biopharmacological activities. However, the therapeutic effects of both Lactucin and Lactucopicrin on many diseases and their underlying mechanisms remain largely unknown. Here, we analyzed the both natural compounds hypolipidemic effects on FFA-induced HepG2 cells and their potential mechanisms based on transcriptomics and experimental tests. Our results indicated that Lactucin (10 μM) and Lactucopicrin (20 μM) remarkably reduced TG accumulation. Transcriptomics analysis identified 1960, 1645, and 1791 differentially expressed genes (DEGs) and obtained 611 and 635 specific genes in different comparisons, respectively. The enrichment analysis and experimental validations (RT-qPCR and Western Blot) showed that their hypolipidemic activities were most probably exerted via regulating numerous key DEGs involved in lipid metabolism. Taken together, both Lactucin and Lactucopicrin may represent potent hepatoprotective agents. Both of them exhibited therapeutic effects against liver diseases such as NAFLD by regulating multi-gene and proteins like HADHA, ADAM17, SQSTM1, and GBA and modulating multi-pathways like fatty acid oxidation metabolic signaling.

Copyright of China Tropical Medicine is the property of China Tropical Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Differential gene expression is an analysis of gene data, in which the RNA sequence data after nextgeneration sequencing are to be visualized for any quantitative changes in the levels of the experimental data set. This work aims to derive the transcript statistics on a gene transcript file with a fold change of genes on a normalized scale, in order to identify quantitative changes in gene expression of the difference between the reference genome and Non-Small Cell Lung Cancer (NSCLC) samples. This insight makes a clinical impact in assessing and characterizing candidate genes. The pipeline comprises tuxedo protocol and programming language R with the standard ballgown package. The resultant data set and the plot displays depict the candidate genes in their respective location which are significant in expressing their changes in NSCLC samples. The samples are compared with prominent gene labels of NSCLC samples. The results explain the differential expression of particular samples across samples from both genders. [ABSTRACT FROM AUTHOR]

Objectives of this research were to examine differential gene expression profiles of Nguni and Bonsmara cattle fed diets differing in their energy density. The ultimate goal was to improve understanding of the mechanisms that underlie differences between these breeds and the potential interactions of the differences between breeds with the nutritive environment. The experiment was designed as a 2 × 2 factorial arrangement of breed and diet (12.5 MJ/kg DM vs. 10.9 MJ/kg DM). The initial feeding trial had 10 bull calves per treatment. However, financial constraints limited RNA sequencing to six animals per treatment and the RNA generated from one animal was of insufficient quality to be useful. Transcripts with false discovery rate P-values <0.05 and fold-changes >2.0 were considered significant. Bonsmara had a faster growth rate, heavier live and carcass weights, and better feed conversion compared to Nguni. However, lower levels of fat were observed in Nguni. Twenty different genes were differentially expressed, with three exhibiting interaction effects and all 20 having differences in transcript abundance between the breeds. A dietary effect was only observed for the one gene and that gene was also subject to an interaction effect with breed. Observed differences in gene expression between Bonsmara and Nguni by several genes affecting the structure or function of the mitochondria imply differences in energy metabolism between the breeds. Interaction effects on the abundance of some gene transcripts indicate the need to consider the diet when evaluating breed differences and conversely, consider breed when evaluating diets. [ABSTRACT FROM AUTHOR]

Abstract Background Stem cell senescence is considered as a significant driver of organismal aging. As individuals age, the number of stem cells is declined, and the ability to proliferate and survive is also weakened. It has been reported that metabolism plays an important role in stem cell self-renewal, multilineage differentiation, senescence and fate determination, which has aroused widespread concerns. However, whether metabolism-related genes or signalling pathways are involved in physiological aging remain largely undetermined. Results In the current study, we showed 868 up-regulated and 2006 down-regulated differentially expressed genes (DEGs) in bone marrow mesenchymal stem cells (MSCs) from old rats in comparison with that from young rats by performing RNA sequence. And DEGs functions and pathways were further selected by function enrichment analysis. The results indicated that the high expression of DEGs might participate in cell differentiation, growth factor binding and etc., while the down-regulated DEGs were majorly enriched in metabolism process, such as the cellular metabolic process and mitochondria. Then, we screened and verified DEGs related to glucose metabolism and investigated the glycolysis levels. We identified that glucose uptake, lactate secretion, ATP production and relative extracellular acidification rates (ECAR) were all diminished in MSCs from old rats. More importantly, we conducted microRNA prediction on the key DEGs of glycolysis to elucidate the potential molecular mechanisms of glucose metabolism affecting MSC senescence. Conclusions Our study unravelled the profiles of DEGs in age-associated MSC senescence and their functions and pathways. We also clarified DEGs related to glucose metabolism and down-regulated glycolysis level in age-associated MSC senescence. This study will uncover the metabolic effects on regulating stem cell senescence, and provide novel therapeutic targets for ameliorating age-associated phenotypes.

Household contacts (HHCs) of patients with active tuberculosis (ATB) are at higher risk of Mycobacterium tuberculosis ( M. tuberculosis ) infection. However, the immune factors responsible for different defense responses in HHCs are unknown. Hence, we aimed to evaluate transcriptome signatures in human peripheral blood mononuclear cells (PBMCs) of HHCs to aid risk stratification. We recruited 112 HHCs of ATB patients and followed them for 6 years. Among the HHCs, only 2 developed ATB, while the remaining HHCs were classified into three groups: (1) HHC-1 group ( n  = 23): HHCs with consistently positive T-SPOT.TB test, negative chest radiograph, and no clinical symptoms or evidence of ATB during the 6-year follow-up period; (2) HHC-2 group ( n  = 15): HHCs with an initial positive T-SPOT result that later became negative without evidence of ATB; (3) HHC-3 group ( n  = 14): HHCs with a consistently negative T-SPOT.TB test and no clinical or radiological evidence of ATB. HHC-2 and HHC-3 were combined as HHC-23 group for analysis. RNA sequencing (RNA-seq) in PBMCs, with and without purified protein derivative (PPD) stimulation, identified significant differences in gene signatures between HHC-1 and HHC-23. Gene ontology analysis revealed functions related to bacterial pathogens, leukocyte chemotaxis, and inflammatory and cytokine responses. Modules associated with clinical features in the HHC-23 group were linked to the IL-17 signaling pathway, ferroptosis, complement and coagulation cascades, and the TNF signaling pathway. Validation using real-time PCR confirmed key genes like ATG-7, CXCL-3, and TNFRSF1B associated with infection outcomes in HHCs. Our research enhances understanding of disease mechanisms in HHCs. HHCs with persistent latent tuberculosis infection (HHC-1) showed significantly different gene expression compared to HHCs with no M. tuberculosis infection (HHC-23). These findings can help identify HHCs at risk of developing ATB and guide targeted public health interventions.

The basidiomycetous yeast Pseudozyma tsukubaensis produces a mannosylerythritol lipid (MEL) homologue, a diastereomer type of MEL-B, from olive oil. In a previous study, MEL-B production was increased by the overexpression of lipase PaLIPAp in P. tsukubaensis 1E5, through the enhancement of oil consumption. In the present study, RNA sequence analysis was used to identify a promoter able to induce high-level PaLIPA expression. The recombinant strain, expressing PaLIPA via the translation elongation factor 1 alpha/Tu promoter, showed higher lipase activity, rates of oil degradation, and MEL-B production than the strain which generated in our previous study. [ABSTRACT FROM AUTHOR]

Simple Summary: The crest cushion is a phenotypic appendage observed in most birds, and its appearance differs according to the species. However, the mechanism underlying the formation of the crest cushion and the changes in the expression of the associated genes during development has not been elucidated. We aimed to study the differential expression of selected genes in the Chinese crested duck to assess the genes involved in crest cushion formation and their expression. Our results show that the expression of genes belonging to the homeobox family was significantly altered during the various developmental stages, highlighting their role in the development of the crest cushion. This study elucidated a method to assess the molecular mechanism involved in the formation of the crest cushion and to assess the changes in the gene expression at the genome level. The crest trait is a specific and widely distributed phenotype in birds. However, the shape and function vary in different species of birds. To understand the mechanism of crest formation, the present study used RNA sequencing and weighted gene co-expression network analysis (WGCNA) to identify the crest-cushion-associated genes in the Chinese crested (CC) duck. As a result, 28, 40, 32, 33, and 126 differentially expressed genes (DEGs) were identified between CC and cherry valley (CV) ducks at the embryonic days (E)15, E22, E28, D7 (7 days old), and D42 stages, respectively. In addition, the results of WGCNA show that 3697 (turquoise module), 485 (green-yellow module), 687 (brown module), 205 (red module), and 1070 (yellow module) hub genes were identified in the E15, E22, E28, D7, and D42 stages, respectively. Based on the results of DEGs and WGCNA Venn analysis, three, two, zero, one, and seven genes were found to be associated with crest cushion formation at the E15, E22, E28, D7, and D42 stages, respectively. The expression of all the associated genes and some DEGs was verified by real-time quantitative polymerase chain reaction. In conclusion, this study provided an approach revealing the molecular mechanisms underlying the crested trait development. [ABSTRACT FROM AUTHOR]

In this study, we detected the expression of mRNAs, lncRNAs, and miRNAs in primary cultured leydig cells (LCs) and sertoli cells (SCs) of yak by RNA sequencing technology. A total of 84 differently expression mRNAs (DEmRNAs) (LCs vs. SCs: 15 up and 69 down), 172 differently expression lncRNAs (DElncRNAs) (LCs vs. SCs: 36 up and 136 down), and 90 differently expression miRNAs (DEmiRNAs) (LCs vs. SCs: 72 up and 18 down) were obtained between the two types of cells. GO enrichment and KEGG analysis indicated that the differential expression genes (DEGs) were more enriched in the regulation of actin cytoskeleton, Rap1/MAPK signaling pathway, steroid biosynthesis, focal adhesion, and pathways associated with metabolism. Targeted regulation relationship pairs of 3β-HSD and MSTRG.54630.1, CNTLN and MSTRG.19058.1, BRCA2 and MSTRG.28299.4, CA2 and novel-miR-148, and ceRNA network of LAMC3-MSTRG.68870.1- bta-miR-7862/novel-miR-151/novel-miR-148 were constructed by Cytoscape software. In conclusion, the differences between LCs and SCs were mainly reflected in steroid hormone synthesis, cell proliferation and metabolism, and blood-testicular barrier (BTB) dynamic regulation, and 3β-HSD, CNTLN, BRCA2, CA2, and LAMC3 may be the key factors causing these differences, which may be regulated by ncRNAs. This study provides a basic direction for exploring the differential regulation of LCs and SCs by ncRNAs.

Background: Stem cell senescence is considered as a significant driver of organismal aging. As individuals age, the number of stem cells is declined, and the ability to proliferate and survive is also weakened. It has been reported that metabolism plays an important role in stem cell self-renewal, multilineage differentiation, senescence and fate determination, which has aroused widespread concerns. However, whether metabolism-related genes or signalling pathways are involved in physiological aging remain largely undetermined. Results: In the current study, we showed 868 up-regulated and 2006 down-regulated differentially expressed genes (DEGs) in bone marrow mesenchymal stem cells (MSCs) from old rats in comparison with that from young rats by performing RNA sequence. And DEGs functions and pathways were further selected by function enrichment analysis. The results indicated that the high expression of DEGs might participate in cell differentiation, growth factor binding and etc., while the down-regulated DEGs were majorly enriched in metabolism process, such as the cellular metabolic process and mitochondria. Then, we screened and verified DEGs related to glucose metabolism and investigated the glycolysis levels. We identified that glucose uptake, lactate secretion, ATP production and relative extracellular acidification rates (ECAR) were all diminished in MSCs from old rats. More importantly, we conducted microRNA prediction on the key DEGs of glycolysis to elucidate the potential molecular mechanisms of glucose metabolism affecting MSC senescence. Conclusions: Our study unravelled the profiles of DEGs in age-associated MSC senescence and their functions and pathways. We also clarified DEGs related to glucose metabolism and down-regulated glycolysis level in age-associated MSC senescence. This study will uncover the metabolic effects on regulating stem cell senescence, and provide novel therapeutic targets for ameliorating age-associated phenotypes. [ABSTRACT FROM AUTHOR]

Objective: The effect of cardiac arrest (CA) on cerebral transcriptomics and metabolomics is unknown. We previously demonstrated hemodynamic-directed CPR (HD-CPR) improves survival with favorable neurologic outcomes versus standard CPR (Std-CPR). We hypothesized HD-CPR would preserve the cerebral transcriptome and metabolome compared to Std-CPR. Design: Randomized pre-clinical animal trial. Setting: Large animal resuscitation laboratory at an academic children’s hospital. Subjects: Four-week-old female piglets (8–11 kg). Interventions: Pigs (1-month-old), three groups: 1) HD-CPR (compression depth to systolic BP 90 mmHg, vasopressors to coronary perfusion pressure 20 mmHg); 2) Std-CPR and 3) shams (no CPR). HD-CPR and Std-CPR underwent asphyxia, induced ventricular fibrillation, 10–20 min of CPR and post-resuscitation care. Primary outcomes at 24 h in cerebral cortex: 1) transcriptomic analysis (n = 4 per treatment arm, n = 8 sham) of 1727 genes using differential gene expression and 2) metabolomic analysis (n = 5 per group) of 27 metabolites using one-way ANOVA, post-hoc Tukey HSD. Measurements and main results: 65 genes were differentially expressed between HD-CPR and Std-CPR and 72 genes between Std-CPR and sham, but only five differed between HD-CPR and sham. Std-CPR increased the concentration of five AA compared to HD-CPR and sham, including the branched chain amino acids (BCAA), but zero metabolites differed between HD-CPR and sham. Conclusions: In cerebral cortex 24 h post CA, Std-CPR resulted in a different transcriptome and metabolome compared with either HD-CPR or sham. HD-CPR preserves the transcriptome and metabolome, and is neuroprotective. Global molecular analyses may be a novel method to assess efficacy of clinical interventions and identify therapeutic targets. Institutional protocol number: IAC 16-001023.

Abstract Background Pathogenesis of colorectal cancer (CRC) is connected to deregulation of apoptosis while the effect of lncRNAs, as critical regulatory molecules, on this pathway is not clear well. The present study aimed to identify differential expression of genes and their related lncRNAs which are significantly associated with intrinsic apoptotic pathway in CRC. Methods The connection between CRC and apoptosis was investigated by literature reviews and the genes were enriched by using Enrichr. At the next step, differential expression of enriched genes were evaluated between normal and tumor populations in data sets and were downloaded from GEO. Then, meta-analysis and probe re-annotation were performed. For lncRNAs selection through the highest expression correlation with each of candidate genes, mRNA-lncRNA interaction of screened genes and all of lncRNAs were visualized using Cytoscape. Identified differential expression genes and lncRNAs were validated using TCGA-COAD and the obtained data were confirmed by in vitro studies in the presence of Ag@Glu-TSC nanoparticle as an apoptotic inducer. Cytotoxicity and apoptosis induction effect of Ag@Glu-TSC on Caco-2 cells was determined via MTT and Annexin V/PI, respectively. The expression of genes and lncRNAs were assayed in presence of mentioned nanoparticle. Finally, the expression level of desired genes and lncRNAs were proven in CRC tissues compared to adjacent normal tissues. Results After detection of 48 genes associated with intrinsic apoptosis in CRC according to literature, Enrichr screened 12 common genes involved in this pathway. Among them, 6 genes including BCL2, BCL2L11, BAD, CASP7, CASP9, and CYCS expression reduced in tumor tissue compared to normal according to meta-analysis studies and RNA-seq TCGA data. Afterwards, association of 8 lncRNAs comprising CDKN2B-AS1, LOC102724156, HAGLR, ABCC13, LOC101929340, LINC00675, FAM120AOS, PDCD4-AS1 with more than 5 candidate genes were identified. In vitro studies revealed that four selected lncRNAs including, CDKN2B-AS1, LOC102724156, HAGLR and FAM120AOS were significantly increased in the presence of in optimum concentration of Ag@Glu/TSC and decreased in tumor tissues versus adjacent normal tissues. Conclusion This study developed a new data mining method to screen differentially expressed lncRNAs which are involved in regulation of intrinsic apoptosis pathway in CRC quickly using published gene expression profiling microarrays. Moreover, we could validate a number of these regulators in the cellular and laboratory disease models.

Abstract Background This paper describes a web based tool that uses a combination of sonification and an animated display to inquire into the SARS-CoV-2 genome. The audio data is generated in real time from a variety of RNA motifs that are known to be important in the functioning of RNA. Additionally, metadata relating to RNA translation and transcription has been used to shape the auditory and visual displays. Together these tools provide a unique approach to further understand the metabolism of the viral RNA genome. This audio provides a further means to represent the function of the RNA in addition to traditional written and visual approaches. Results Sonification of the SARS-CoV-2 genomic RNA sequence results in a complex auditory stream composed of up to 12 individual audio tracks. Each auditory motive is derived from the actual RNA sequence or from metadata. This approach has been used to represent transcription or translation of the viral RNA genome. The display highlights the real-time interaction of functional RNA elements. The sonification of codons derived from all three reading frames of the viral RNA sequence in combination with sonified metadata provide the framework for this display. Functional RNA motifs such as transcription regulatory sequences and stem loop regions have also been sonified. Using the tool, audio can be generated in real-time from either genomic or sub-genomic representations of the RNA. Given the large size of the viral genome, a collection of interactive buttons has been provided to navigate to regions of interest, such as cleavage regions in the polyprotein, untranslated regions or each gene. These tools are available through an internet browser and the user can interact with the data display in real time. Conclusion The auditory display in combination with real-time animation of the process of translation and transcription provide a unique insight into the large body of evidence describing the metabolism of the RNA genome. Furthermore, the tool has been used as an algorithmic based audio generator. These audio tracks can be listened to by the general community without reference to the visual display to encourage further inquiry into the science.

Abstract Background The circadian rhythms regulate physiological functions and metabolism. Circadian Time (CT) is a unit to quantify the rhythm of endogenous circadian clock, independent of light influence. To understand the gene expression changes throughout CT, C57BL/6 J mice were maintained under constant darkness (DD) for 6 weeks, and the liver samples were collected starting at 9:00 AM (CT1), and every 4 h in a 24-h cycle (CT5, CT9, CT13, CT17 and CT21). Total RNA was extracted and subjected to RNA-Seq data (deposited as GSE 133342, L-DD). To compare gene oscillation pattern under normal light-dark condition (LD, GSE114400) and short time (2 days) dark-dark condition (S-DD, GSE70497), these data were retried from GEO database, and the trimmed mean of M-values normalization was used to normalize the three RNA-seq data followed by MetaCycle analysis. Results Approximate 12.1% of the genes under L-DD exhibited significant rhythmically expression. The top 5 biological processes enriched in L-DD oscillation genes were mRNA processing, aromatic compound catabolic process, mitochondrion organization, heterocycle catabolic process and cellular nitrogen compound mitotic catabolic process. The endogenous circadian rhythms of clock genes, P450 genes and lipid metabolism genes under L-DD were further compared with LD and S-DD. The oscillation patterns were similar but the period and amplitude of those oscillation genes were slightly altered. RT-qPCR confirmed the selected RNA sequence findings. Conclusions This is the first study to profile oscillation gene expressions under L-DD. Our data indicate that clock genes, P450 genes and lipid metabolism genes expressed rhythmically under L-DD. Light was not the necessary factor for persisting circadian rhythm but influenced the period and amplitude of oscillation genes.

Cancer is one of the most feared and aggressive diseases in the world and is responsible for more than 9 million deaths universally. Staging cancer early increases the chances of recovery. One staging technique is RNA sequence analysis. Recent advances in the efficiency and accuracy of artificial intelligence techniques and optimization algorithms have facilitated the analysis of human genomics. This paper introduces a novel optimized deep learning approach based on binary particle swarm optimization with decision tree (BPSO-DT) and convolutional neural network (CNN) to classify different types of cancer based on tumor RNA sequence (RNA-Seq) gene expression data. The cancer types that will be investigated in this research are kidney renal clear cell carcinoma (KIRC), breast invasive carcinoma (BRCA), lung squamous cell carcinoma (LUSC), lung adenocarcinoma (LUAD) and uterine corpus endometrial carcinoma (UCEC). The proposed approach consists of three phases. The first phase is preprocessing, which at first optimize the high-dimensional RNA-seq to select only optimal features using BPSO-DT and then, converts the optimized RNA-Seq to 2D images. The second phase is augmentation, which increases the original dataset of 2086 samples to be 5 times larger. The selection of the augmentations techniques was based achieving the least impact on manipulating the features of the images. This phase helps to overcome the overfitting problem and trains the model to achieve better accuracy. The third phase is deep CNN architecture. In this phase, an architecture of two main convolutional layers for featured extraction and two fully connected layers is introduced to classify the 5 different types of cancer according to the availability of images on the dataset. The results and the performance metrics such as recall, precision and F1 score show that the proposed approach achieved an overall testing accuracy of 96.90%. The comparative results are introduced, and the proposed method outperforms those in related works in terms of testing accuracy for 5 classes of cancer. Moreover, the proposed approach is less complex and consume less memory.

Context Pulmonary fibrosis (PF) is a highly heterogeneous and lethal pathological process having no effective drug. Engeletin exerts multiple biological activities including anti-inflammatory and lung repair. Whether engeletin has therapeutic effects on PF remains unclear. Objective Examining effect and mechanism of engeletin on PF in vivo and in vitro. Materials and methods L929 cells (1 × 106/well) were treated with TGF-β1 (5 ng/mL). Sixty male C57BL/6 mice were divided into three groups and given saline or single intratracheal instillation bleomycin (5 mg/kg) or both bleomycin and intraperitoneally injected engeletin (25 mg/kg). Results Histological staining showed engeletin inhibited myofibrobasts activation and improved alveolar structure. Engeletin elevated forced vital capacity from 12 induced by bleomycin to 17. CCK-8 assay reported IC50 value of engeletin was 270 μg/mL. Real-time cellular analysis showed engeletin reduced proliferation and migration of myofibroblasts by 2.5- and 2-fold. Engeletin blocked α-SMA, vimentin, and collagen expression. RNA sequencing revealed PERK-ATF4 signalling pathway relating to ER stress involved in anti-fibrotic function of engeletin. Engeletin reduced ATF4, CHOP and BIP expression. Chemical inhibitors of smad2/3- (SB431542) and JNK- (SP600125) signalling pathways blocked expression of long noncoding RNA (lncRNA) – lnc949. Engeletin inhibited phosphorylation of smad2/3 and JNK leading to lower level of lnc949. Knockdown lnc949 inhibited ATF4, CHOP and BIP expression. Conclusions We reported gene expression profiling of engeletin through RNA-seq; and identified lnc949-mediated TGF-β1-Smad2/3 and JNK were upstream signalling pathways of ER stress induced by engeletin. Our results showed engeletin remedies pulmonary fibrogenesis and may be a new drug candidate.

Background: Septic shock is associated with high mortality and there is significant heterogeneity in the host response. The aim of this study was to understand the genome-wide expression transcriptomic signatures in children with septic shock and correlate them with outcomes., Methods: This was a prospective study conducted on children (aged 1 month to 18 years) admitted to the PICU (June-December 2021) with septic shock. Demographic details, clinical details, and administered treatment were collected. Differential gene expression analysis was performed to understand the genes and pathways affecting in different subjects., Results: Fifteen patients were recruited (Septic shock survivors ( n = 5), nonsurvivors ( n = 5), and non-sepsis controls ( n = 5). The median age of the patients in survivors and nonsurvivors was 15 (13, 24) months and 180 (180, 184) months, respectively. The sepsis-survivors vs nonsepsis possessed 983 upregulated and 624 downregulated genes while comparing sepsis nonsurvivors (SNS) with nonsepsis yielded 1,854 upregulated and 1,761 downregulated genes. Further, the lowest number of deregulated genes (383 upregulated and 486 downregulated) were present in SNS compared to sepsis survivors. The major Reactome pathways, found upregulated in SNSs relative to survivors included CD22 mediated B cell receptor (BCR) regulation, scavenging of heme from plasma, and creation of C4 and C2 activators while T cell receptor (TCR) signaling, the common pathway of fibrin clot formation and generation of second messenger molecules were found to be downregulated., Conclusion: Mortality-related gene signatures are promising diagnostic biomarkers for pediatric sepsis., How to Cite This Article: Lalitha AV, Vasudevan A, Moorthy M, Ramaswamy G. Profiling Molecular Changes of Host Response to Predict Outcome in Children with Septic Shock. Indian J Crit Care Med 2024;28(9):879-886., Competing Interests: Source of support: This work was supported by a grant from the Rajiv Gandhi University of Health Sciences (RGU/ADV-RES/BR/19/2019-20). Conflict of interest: NoneConflict of interest: None, (Copyright © 2024; The Author(s).)

Although ovarian clear cell carcinoma (CCC) is associated with high incidence of thromboembolism, the clinicopathological and biological significance of hypercoagulable status in CCC remains unclear. We retrospectively analyzed pretreatment D-dimer levels, thromboembolic status, and clinical outcome of 125 CCCs in the discovery set and 143 CCCs in two other independent validation sets. Next, we performed RNA sequencing of 93 CCCs and compared coagulation-related gene profiles with 2492 pan-cancer data. We investigated differences in molecular characteristics of CCC subclasses based on coagulation status. In the discovery dataset, D-dimer elevation above the normal range was significantly associated with shorter progression-free and overall survival, irrespective to thromboembolic status. Multivariate analysis identified D-dimer elevation and clinical stage as an independent prognostic factors. We confirmed the prognostic significance of D-dimer elevation in the validation sets. Tissue factor and IL6, which are considered key elements of cancer-induced hypercoagulation, were highly expressed in CCC than in other cancers regardless of D-dimer level. Higher activity of various oncogenic pathways was observed in CCC with compared to without D-dimer elevation. Moreover, hierarchical cluster analysis divided 57 CCCs with D-dimer elevation into immunologically hot and cold tumor subtypes. Hot tumors were characterized by enrichment of T-cell inflamed phenotype, inflammation, the epithelial-mesenchymal transition, and high serum levels of CRP, and cold tumors by enrichment of cell cycle and MYC pathways. CCC represents hypercoagulable disease and elevate D-dimer is a prognostic factor for decreased survival in CCC. D-dimer high CCC has distinct molecular characteristics into the inflammatory-driven pathway (hot tumor) and the immune-suppressive pathway (cold tumor). Treatment implication of our proposed molecular classification merits further investigation. • D-dimer elevation is a prognostic factor for ovarian clear cell carcinoma, irrespective to thromboembolic status. • mRNA expression of Tissue factor and IL6 was significantly higher in CCC than other cancers. • D-dimer high CCC was divided into two subtypes: immunologically hot- and cold-tumors. [ABSTRACT FROM AUTHOR]

The purpose of this study was to investigate the influence of C1QL1 on atherosclerosis as well as the transcriptomic alteration of the aorta. While complement C1ql-like 1 (C1QL1) is one of the C1q/tumor-necrosis-factor-related protein (CTRP) family members, also known as CTRP14, and is synthesized and secreted mainly by the brain and adipose tissues, the functional properties of the C1QL1/CTRP14 protein outside the brain and adipocytes remain, however, unknown. In this regard, apolipoprotein E (ApoE) knockout (KO) mice were fed a Western diet and injected with adenovirus (Ad) green fluorescent protein or Ad-C1QL1 through the tail vein for 12 weeks. In contrast with the control cohort, the area of atherosclerotic plaque in ApoE KO mice overexpressing C1QL1 showed no significant difference, and the RNA sequence revealed that there were only 111 differentially expressed genes (DEGs) enriched in 26 signaling pathways of the mRNA profile in the aortic atherosclerosis lesions. This analysis also revealed the expression of several genes related to metabolism, organismal system, and human diseases such as type II diabetes, which are not associated with the formation of atherosclerosis in the aorta. These findings illustrate that C1QL1 is largely dispensable for atherosclerosis formation in ApoE-deficient mice and does not improve atherosclerotic plaque formation in the aorta.