mRNA Analysis Research Articles

Complement factor H-related protein 5 alleviates joint inflammation and osteoclast differentiation by disrupting RANK-JNK signaling in collagen antibody-induced arthritis mouse model

BackgroundComplement Factor H-Related protein 5 (CFHR5) belongs to the factor H/CFHR family and regulates the complement system by modulating factor H’s inhibitory activity against C3b. Despite its known role, the impact of CFHR5 on autoimmune arthritis and its relationship to pathophysiological changes in arthritis and bone loss remain unclear. This study aimed to assess the effect of CFHR5 on aggressive osteoclast activity and arthritis using a murine model of collagen antibody-induced arthritis (CAIA). MethodsThe effect of recombinant CFHR5 protein (rCFHR5) on arthritis were evaluated in CAIA. The mice were divided into three group and intraperitoneally treated with rCFHR5, methotrexate (MTX) as positive control or PBS as negative control. In the CAIA mouse model, the rCFHR5-treated group significantly reduced the incidence and clinical arthritis equivalent to the MTX group. Clinical arthritis scores, incidence and body weight were measured, and histological analysis of ankle joints was performed by Hematoxylin and Eosin (H&E) and Safranin O − Fast green (SOFG), Tartrate-resistant acid phosphatase (TRAP) staining and Immunohistochemistry. Moreover, to investigate the rCFHR5 role, we isolated murine osteoclast precursor cells (OCPs) from each group, induced osteoclasts with M−CSF and RANKL, and performed TRAP and F-actin staining. To verify the mechanism, mRNA and protein analyses were performed in OCPs. ResultsHistological examination of ankle joints revealed substantial reductions in synovial hyperplasia, bone marrow inflammation, bone erosion, cartilage destruction and TRAP-positive cells in the rCFHR5 group compared to the vehicle group. The ankle joints of the rCFHR5 group showed markedly decreased expression of proinflammatory cytokines (TNF-α, IL-1β and IL-6). Mechanically, treatment with rCFHR5 inhibited RANKL-mediated osteoclast differentiation from OCPs and disrupted the RANK-JNK signaling. These findings demonstrate that treatment with rCFHR5 attenuates joint inflammation and reduces osteoclast differentiation, indicating its potential anti-inflammatory effect in autoimmune arthritis models.

Post-transcriptional control drives Aurora kinase A expression in human cancers.

Aurora kinase A (AURKA) is a major regulator of the cell cycle. A prominent association exists between high expression of AURKA and cancer, and impairment of AURKA levels can trigger its oncogenic activity. In order to explore the contribution of post-transcriptional regulation to AURKA expression in different cancers, we carried out a meta-analysis of -omics data of 18 cancer types from The Cancer Genome Atlas (TCGA). Our study confirmed a general trend for increased AURKA mRNA in cancer compared to normal tissues and revealed that AURKA expression is highly dependent on post-transcriptional control in several cancers. Correlation and clustering analyses of AURKA mRNA and protein expression, and expression of AURKA-targeting hsa-let-7a miRNA, unveiled that hsa-let-7a is likely involved to varying extents in controlling AURKA expression in cancers. We then measured differences in the short/long ratio (SLR) of the two alternative cleavage and polyadenylation (APA) isoforms of AURKA mRNA across cancers compared to the respective healthy counterparts. We suggest that the interplay between APA and hsa-let-7a targeting of AURKA mRNA may influence AURKA expression in some cancers. hsa-let-7a and APA may also independently contribute to altered AURKA levels. Therefore, we argue that AURKA mRNA and protein expression are often discordant in cancer as a result of dynamic post-transcriptional regulation.

Integration of mRNA and miRNA Analysis Sheds New Light on the Muscle Response to Heat Stress in Spotted Sea Bass (Lateolabrax maculatus)

Temperature is a crucial environmental factor for fish. Elevated temperatures trigger various physiological and molecular responses designed to maintain internal environmental homeostasis and ensure the proper functioning of the organism. In this study, we measured biochemical parameters and performed mRNA–miRNA integrated transcriptomic analysis to characterize changes in gene expression profiles in the muscle tissue of spotted sea bass (Lateolabrax maculatus) under heat stress. The measurement of biochemical parameters revealed that the activities of nine biochemical enzymes (ALP, γ-GT, AST, GLU, CK, ALT, TG, LDH and TC) were significantly affected to varying degrees by elevated temperatures. A total of 1940 overlapping differentially expressed genes (DEGs) were identified among the five comparisons in the muscle tissue after heat stress. Protein–protein interaction (PPI) analysis of DEGs indicated that heat shock protein genes (HSPs) were deeply involved in the response to heat stress. In addition, we detected 462 differential alternative splicing (DAS) events and 618 DAS genes, which are closely associated with sarcomere assembly in muscle, highlighting the role of alternative splicing in thermal response regulation. Moreover, 32 differentially expressed miRNAs (DEMs) were identified in response to heat stress, and 599 DEGs were predicted as potential target genes of those DEMs, generating 846 DEG–DEM negative regulatory pairs potentially associated with thermal response. Function enrichment analysis of the target genes suggested that lipid metabolism-related pathways and genes were regulated by miRNAs. By analyzing PPIs of target genes, we identified 28 key negative regulatory pairs, including 13 miRNAs (such as lma-miR-122, lma-miR-200b-5p and novel-miR-444) and 15 target genes (such as hspa13, dnaja1, and dnajb1a). This study elucidates the molecular mechanisms of response to high-temperature stress and offers valuable information for the selection and breeding of heat-tolerant strains of spotted sea bass.

MIMR: Development of a Web-Based System for miRNA and mRNA Integrated Analysis.

The human body is a complex network of systems that is harmonized with multiple biological components. To understand these interactions is very challenging. With rapid development of advanced sequencing technologies, massive amounts of data such as mRNA, miRNA are rapidly accumulated. The integrated analysis of mRNA-miRNA has brought an extensive understanding of complex biological systems and pathological mechanisms. MicroRNAs (miRNAs) are small non-coding RNAs that intricately regulate target gene products, resulting in the inhibition of gene expression. While these miRNAs play crucial roles in essential biological processes-ranging from immunity and metabolism to cell death-their specific impacts on diseases remain unknown. Recent studies have been focused on the integration of miRNA and mRNA expression to reveal the underlying biological pathways and mechanisms responsible for disease manifestation. We proposed a novel approach for integrative analysis of miRNA and mRNA expression data and developed MIMR (Integrative Analysis of miRNA and mRNA), a web-based application that leverages the Random Walk with Restart (RWR) algorithm. MIMR incorporates both direct and indirect interactions by utilizing protein-protein interaction (PPI) networks and experimentally validated mRNA-miRNA target interactions. MIMR provides comprehensive results, including novel pathological pathways associated with a specific disease and interactive network diagrams representing the mRNAs and miRNAs. We applied it to Alzheimer and breast cancer data and successfully identified the novel biological pathways related to these diseases. In summary, MIMR will offer a deeper insight into the hidden mechanisms of diseases and identify potential therapeutic strategies through integrated analysis of miRNAs and mRNAs.

BCL11A expression worsens the prognosis of DLBCL and its co-expression with C-MYC predicts poor survival

Non-Hodgkin's lymphoma (NHL) is a significant global malignancy, with diffuse large B cell lymphoma (DLBCL) being the most prevalent subtype, accounting for 25-50% of newly diagnosed cases in China. Despite a 60% survival rate achieved with R-CHOP regiment for DLBCL, approximately 40% of patients experience relapse or develop resistance to treatment. While the oncogenic transcription factor B-cell chronic lymphocytic leukaemia/lymphoma 11A (BCL11A) has been implicated in various tumors, its specific role in DLBCL remains unclear. In this study, we conducted retrospective histomorphological and immunophenotypic analyses on paraffin sample tissues and collected fresh tissue samples for protein and mRNA analyses to investigate the relationship between BCL11A and DLBCL. Additionally, we classified DLBCL into subtypes based on cells of origin (COO) and examined the expressions of BCL11A, C-MYC, P53 and other protein expressions to better understand the factors contributing to poor clinical outcomes in DLBCL. Our findings revealed elevated BCL11A expression in DLBCL, with increased expression associated with worse prognosis and higher C-MYC expression. Patients exhibiting co-expression of C-MYC and BCL11A had significantly lower survival rates compared to those with singular expression. Furthermore, BCL11A protein expression levels demonstrated significant associations with P53 and C-MYC protein expression levels in the Germinal Center B-cell-like (GCB) subtype. These findings suggest that BCL11A may serve as a potential prognostic marker and therapeutic target for DLBCL.

Somatic reversion in Wiskott-Aldrich syndrome: Case reports and mechanistic insights.

This report describes two brothers from India and a Chinese patient with somatic reversion of an inherited deleterious mutation in the WAS gene. Both the Indian siblings had inherited a single nucleotide deletion causing a frameshift mutation (c.1190del, p.Pro397Argfs*48) (variant 1: marked in blue) from the mother. Another variant (variant 2: marked in red), a 12-nucleotide deletion at position 1188-1199 (c.1188_1199del, p.P401_P404del) was also found, which resulted in restoration of the frame and subsequent rescue of the protein sequence. DNA sequencing from buccal mucosal cells revealed only the inherited variant (variant 1), while no reversion mutation was identified in the mucosal cells. Similarly, the Chinese patient was found to have a novel germline 14-base duplication (ACGAAAATGCTTGG) c.120_132 + 1dup (variant 1). This resulted in abolishment of the original splice junction coupled with the creation of a new junction 14 bases 3' and a frameshift mutation with predicted protein truncation p. Thr45Aspfs*. DNA from the patient's PBMC showed co-existence of wild-type and mutated sequences, but only the mutant was present in the buccal cells. Genomic and mRNA analysis of the isolated CD3+ T lymphocytes, CD3- mononuclear cells, and EBV-transformed B lymphocytes indicated that the reverant variant (germline variant was restored to wild-type sequence) were selectively found in CD3+ T lymphocytes.

StructmRNA a BERT based model with dual level and conditional masking for mRNA representation

In this study, we introduce StructmRNA, a new BERT-based model that was designed for the detailed analysis of mRNA sequences and structures. The success of DNABERT in understanding the intricate language of non-coding DNA with bidirectional encoder representations is extended to mRNA with StructmRNA. This new model uses a special dual-level masking technique that covers both sequence and structure, along with conditional masking. This enables StructmRNA to adeptly generate meaningful embeddings for mRNA sequences, even in the absence of explicit structural data, by capitalizing on the intricate sequence-structure correlations learned during extensive pre-training on vast datasets. Compared to well-known models like those in the Stanford OpenVaccine project, StructmRNA performs better in important tasks such as predicting RNA degradation. Thus, StructmRNA can inform better RNA-based treatments by predicting the secondary structures and biological functions of unseen mRNA sequences. The proficiency of this model is further confirmed by rigorous evaluations, revealing its unprecedented ability to generalize across various organisms and conditions, thereby marking a significant advance in the predictive analysis of mRNA for therapeutic design. With this work, we aim to set a new standard for mRNA analysis, contributing to the broader field of genomics and therapeutic development.

Human macrophages are immunnoprofiled by pericardial fluid small extracellular vesicles modulating lipid metabolism mechanisms

Abstract Background Coronary artery disease (CAD) is the main cause of myocardial infarction and consequent ischemic heart disease (IHD). Macrophages are central to CAD. Small extracellular vesicles (sEVs) can shuttle microRNAs and other molecular cargos from cell to cell, mediating response in target cells. Recent evidence supports the sEVs role in modulating macrophage phenotype. The pericardial fluid (PF) contains sEVs and immune cells including cavity-like macrophages. Purpose This study investigates whether PF-sEVs regulate macrophages, contributing to a specific immunophenotype in CAD patients. Methods PF was collected from CAD patients undergoing coronary bypass surgery (CABG) and non-atherosclerotic patients operated for mitral valve repair (control group). sEVs were isolated and characterised for size (Nanosight tracking analysi), tetrasapanin content (Nanoview chips) and microRNA content (RNA seq analysis). Monocytes from healthy donors were isolated from buffy coats and differentiated into macrophages following established protocols. Macrophages were incubated with either CAD-sEVs or non-CAD sEVs for 24h at 37oC. The cells were collected and processed for mRNA analyses (qRT-PCR) and flow cytometry. Further bioinformatics were employed to understand functional pathways targeted by PF-sEVs-miRNA. Results In line with the human-PF macrophages profile, exposure to CAD-sEVs reduces the anti-inflammatory profile of human macrophages. CAD-sEVs treated macrophages showed a CCR2-, CD36+low, CD206+low profile. While non-CAD-sEVs did not statistically differ from PBS nor untouched groups, CAD-sEVs increased the mRNA level of IL1a, IL1b, TNFa and decreased MRC1. Bioinformatic analysis showed that 861 miRNAs were decreased in the PF-sEVs from CAD patients compared to non-CAD. miRNA targets prediction and pathway analyses reported that clusters of PF-miRNAs could regulate CD36, decreased in PF-macrophages. Conclusions We demonstrate, that sEVs isolated from PF-CAD reduce the anti-inflammatory profile of human macrophages, and target crucial lipid metabolism pathways. These clinically relevant results could drive to decipher improved therapeutics to modulate the epicardial/myocardial immune response in CAD patients.

Integrated analysis of muscle lncRNA and mRNA of Chinese indigenous breed Ningxiang pig in four developmental stages.

Meat and its derivatives serve as crucial sources of protein, vitamins, minerals, and other essential nutrients for humans. Pork stands as China's primary animal-derived food product consumed widely across diverse dietary structures; evaluating intramuscular fat content becomes pivotal in assessing its quality standards. Nonetheless, the intricate molecular mechanisms governing intramuscular fat deposition remain elusive. Our study utilized sequencing technology to scrutinize longitudinal development stages within Ningxiang pig's longest dorsal muscles aiming to unravel these underlying mechanisms. In three distinct comparisons (30d vs. 90d, 90d vs. 150d and 150d vs. 210d) there were 578, 1,000 and 3,238 differentially expressed mRNA, along with 16, 158 and 85 lncRNAs were identified. STEM analysis unveiled six enriched model profiles for lncRNAs while seven such profiles emerged for mRNAs; notably, multiple shared model profiles existed between both RNA types. Enriched analysis highlighted numerous genes from mRNA profile8 and lncRNA profile7 significantly associated with pathways linked to fat deposition. Weight Gene Co-Expression Network Analysis (WGCNA) revealed that differential expression modules (DMEs) & differential expression lncRNAs primarily clustered within cyan, dark slate blue and pale turquoise modules. Furthermore, target genes PKD2 (MSTRG21592.MTRSG8859 and MTRSG18175), COL5A1 (MTRSG9969 and MTRSG180) and SOX13 (MTRSG21592 and MTRSG9088) as core components all intricately tied into processes related to fat deposition. This study lays the groundwork for deeper exploration into the molecular mechanisms underlying LDM fat deposition traits, and it also presents candidate genes for future molecular marker-assisted breeding.

Integrated Transcriptome Analysis of lncRNA, miRNA, and mRNA Reveals key Regulatory Modules for Polycystic Ovary Syndrome

Integrated Transcriptome Analysis of lncRNA, miRNA, and mRNA Reveals key Regulatory Modules for Polycystic Ovary Syndrome

Transcriptomic analysis of keratoconus in Han Chinese patients: Insights into differential gene expression and ethnic-specific patterns

Keratoconus (KC) is a progressive corneal ectatic disorder with a high prevalence among Asians. This study aimed to explore the differential gene expression patterns in Han Chinese patients with KC, focusing on mRNAs and long noncoding RNAs (lncRNAs), to provide insights into the pathogenesis of the disease.Corneal tissues from KC patients and healthy controls were collected, and RNA sequencing was performed to profile mRNA and lncRNA expression. A total of 1973 differentially expressed mRNAs (DEGs) and 386 differentially expressed lncRNAs (DELs) were identified in KC-affected corneas. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed significant enrichment in pathways related to ECM modulation, PI3K-Akt pathway and calcium signaling pathway. Furthermore, protein-protein interaction (PPI) network highlighted hub genes involved in ECM remodeling and inflammatory responses. Co-expression analysis of lncRNAs and mRNAs further prioritized 13 DELs linked to these hub genes. RT-qPCR validation confirmed the differential expression of select candidates. A meta-analysis integrating seven datasets from diverse ethnic backgrounds was performed and it suggested ethnic-specific differences in gene expression patterns.This study sheds new light on the molecular mechanisms underlying KC in the Han Chinese population, pinpointing potential therapeutic targets. It also emphasizes the critical role of ethnic-specific gene expression patterns in KC research, highlighting a need for tailored approaches in disease management and treatment.

Modeling of mRNA deadenylation rates reveal a complex relationship between mRNA deadenylation and decay.

Complete cytoplasmic polyadenosine tail (polyA-tail) deadenylation is thought to be essential for initiating mRNA decapping and subsequent degradation. To investigate this prevalent model, we conducted direct RNA sequencing of S. cerevisiae mRNAs derived from chase experiments under steady-state and stress condition. Subsequently, we developed a numerical model based on a modified gamma distribution function, which estimated the transcriptomic deadenylation rate at 10 A/min. A simplified independent method, based on the delineation of quantile polyA-tail values, showed a correlation between the decay and deadenylation rates of individual mRNAs, which appeared consistent within functional transcript groups and associated with codon optimality. Notably, these rates varied during the stress response. Detailed analysis of ribosomal protein-coding mRNAs (RPG mRNAs), constituting 40% of the transcriptome, singled out this transcript group. While deadenylation and decay of RPG mRNAs accelerated under heat stress, their degradation could proceed even when deadenylation was blocked, depending entirely on ongoing nuclear export. Our findings support the general primary function of deadenylation in dictating the onset of decapping, while also demonstrating complex relations between these processes.

Combined analyses of mRNA and miRNA transcriptome reveal the molecular mechanisms of theca cells physiological differences in geese follicular selection stage

In avian, follicular selection is a key molecular event that can determine avian egg production. Theca cells (TC) are the main components of follicles, the molecular mechanisms about TCs physiological differences during follicle selection stage are still unclear. This study revealed significant differences in proliferation, apoptosis, lipid synthesis, and steroid secretion levels between prehierarchical theca cells (phTC) and hierarchical theca cells (hTC) of Tianfu meat-type geese. A total of 1,559 differentially expressed genes (DEG) and 71 differentially expressed miRNAs (DEM) were identified between phTCs and hTCs, respectively. Functional enrichment analysis results showed that 143 DEGs were enriched in the pathways related to cell proliferation/apoptosis and lipid/steroid metabolism. Protein-protein interaction (PPI) network results indicated the 143 DEGs have functional interactions. Additionally, the predicted target genes of 71 DEMs were jointly analyzed with the above 143 DEGs, and the results showed that 15 DEMs and 17 DEGs with targeted relationships were found. Among them, miR-202-5p was significantly down-regulated both in hTCs and hierarchical theca layers, and target prediction results showed that miR-202-5p may affect TCs proliferation/apoptosis by targeting CHPT1 to regulate the expression levels of CCN1/FOXO3; meanwhile, may affect TCs lipid/steroid metabolism and proliferation/apoptosis by targeting CHPT1 to regulate the expression levels of p53/ABCA1/SREBP-2. This study provides new insights into the regulatory mechanisms of TCs physiological differences during goose follicle selection.

Antibacterial Peptide Nisin Activates p53 Gene Expression and Triggers Apoptosis in Human Colon Cancer Cells

ABSTRACTAntimicrobial peptides (AMPs) are renowned for their broad‐spectrum efficacy against viruses, bacteria, and fungi, thereby holding promise for medicinal applications. Nisin, a bacteriocin synthesized by gram‐positive bacteria such as Lactobacillus and Streptococcus, has been used as a food preservative owing to its antimicrobial characteristics for decades. However, recent developments prompt further research on its application as therapeutic interventions, mainly focusing on anticancer activity. In line with this, the present study portrays the effects of nisin on human colorectal cancer cells and the underlying molecular mechanisms. A dose‐dependent decrease in cell viability with increasing concentrations of nisin was determined by the Alamar blue viability assay, which was supported by significant morphological changes in cells. Subsequently, we probed the apoptotic effects of nisin using EtBr/AO staining, confirming the induction of apoptosis upon nisin treatment, which was further confirmed by ELISA analysis. Elevated levels of Caspase 7 indicated increased apoptosis in nisin‐treated cells. As pharmaceutical p53 reactivation is considered as an attractive strategy to combat chemoresistance and adverse effects, the effect of nisin on p53 expression was determined by mRNA analysis. An upregulation in p53 expression in nisin‐treated cells compared to untreated controls suggests that bacterial nisin reactivates mutated p53. To assess cell cycle dynamics, we utilized PI flow cytometry, unveiling a G0/G1 phase arrest in nisin‐treated cells in contrast to untreated controls. In summary, our results strongly advocate the potential of nisin as a compelling candidate for drug development against colorectal cancer.

STAT3 blockade ameliorates LPS-induced kidney injury through macrophage-driven inflammation

BackgroundSignal transducer and activator of transcription 3 (STAT3), a multifaceted transcription factor, modulates host immune responses by activating cellular response to signaling ligands. STAT3 has a pivotal role in the pathophysiology of kidney injury by counterbalancing resident macrophage phenotypes under inflammation conditions. However, STAT3’s role in acute kidney injury (AKI), particularly in macrophage migration, and in chronic kidney disease (CKD) through fibrosis development, remains unclear.MethodsStattic (a JAK2/STAT3 inhibitor, 5 mg/kg or 10 mg/kg) was administered to evaluate the therapeutic effect on LPS-induced AKI (L-AKI) and LPS-induced CKD (L-CKD), with animals sacrificed 6–24 h and 14 days post-LPS induction, respectively. The immune mechanisms of STAT3 blockade were determined by comparing the macrophage phenotypes and correlated with renal function parameters. Also, the transcriptomic analysis was used to confirm the anti-inflammatory effect of L-AKI, and the anti-fibrotic role was further evaluated in the L-CKD model.ResultsIn the L-AKI model, sequential increases in BUN and blood creatinine levels were time-dependent, with a marked elevation of 0–6 h after LPS injection. Notably, two newly identified macrophage subpopulations (CD11bhighF4/80low and CD11blowF4/80high), exhibited population changes, with an increase in the CD11bhighF4/80low population and a decrease in the CD11blowF4/80high macrophages. Corresponding to the FACS results, the tubular injury score, NGAL, F4/80, and p-STAT3 expression in the tubular regions were elevated. STAT3 inhibitor injection in L-AKI and L-CKD mice reduced renal injury and fibrosis. M2-type subpopulation with CD206 in CD11blowF4/80high population increased in the Stattic-treated group compared with that in the LPS-alone group in the L-AKI model. Additionally, STAT3 inhibitor reduced inflammation driven by LPS-stimulated macrophages and epithelial cells injury in the co-culture system. Transcriptomic profiling identified 3 common genes in the JAK-STAT, TLR, and TNF signaling pathways and 11 common genes in the LPS with macrophage response. The PI3K-AKT (IL-6, Akt3, and Pik3r1) and JAK-STAT pathways were determined as potential Stattic targets. Further confirmation through mRNA and protein expressions analyses showed that Stattic treatment reduced inflammation in the L-AKI and fibrosis in the L-CKD mice.ConclusionsSTAT3 blockade effectively mitigated inflammation by retrieving the CD11blowF4/80high population, further emphasizing the role of STAT3-associated macrophage-driven inflammation in kidney injury.

Development of two step reverse transcription droplet digital PCR (RT-ddPCR) for simultaneous identification of saliva and semen

Determination of the type of body fluids is essential for crime scene reconstruction and for improving the reliability of expert testimonies. Messenger RNA (mRNA) analysis by reverse transcription quantitative PCR (RT-qPCR) has been used in forensic genetics, particularly for body fluid identification. It is a relative quantification method that compares the Ct values of target and reference gene. Thus, the method is unsuitable for determining exact copy numbers of the target gene. To address this limitation, this study performed body fluid-specific mRNA analysis using two-step reverse transcription droplet digital PCR (RT-ddPCR), which is capable of absolute quantification. We found that RT-ddPCR was accurate and sensitive enough to detect as little as 1.5 copies/μl of complementary DNA (cDNA), making it suitable for application using casework samples. It was also highly specific for body fluids, as non-specific amplification did not occur. In addition, saliva-semen mixtures with ratios ranging from 1:50 to 50:1 were successfully identified. When comparing the results of RT-qPCR and RT-ddPCR, some samples were difficult to interpret because of the high Ct values of RT-qPCR. However, when the same samples were analyzed using RT-ddPCR, saliva and semen were distinctly identified. Thus, RT-ddPCR is useful for mixed samples (e.g., in sexual assault cases) with low amounts of DNA, which often leads to ambiguous results when using RT-qPCR. Other body fluids (e.g., vaginal fluid and menstrual blood) can also be identified by including additional markers. This study demonstrates the potential of RT-ddPCR for applications in forensic science.

Disruption of BACH1 Protects AC16 Cardiomyocytes Against Hypoxia/Reoxygenation-Evoked Injury by Diminishing CDKN3 Transcription.

Reperfusion after myocardial infarction (MI) can lead to myocardial ischemia/reperfusion (I/R) damage. The transcription factor (TF) broad-complex, tramtrack, and bric-a-brac (BTB) and cap'n'collar (CNC) homology 1 (BACH1) is implicated in the injury. However, the downstream mechanisms of BACH1 in affecting myocardial hypoxia/reoxygenation (H/R) damage are still fully understood. AC16 cells were stimulated with H/R conditions to model cardiomyocytes under H/R. mRNA analysis was performed by quantitative real-time PCR. Protein levels were gauged by immunoblot analysis. The effect of BACH1/cyclin-dependent kinase inhibitor 3 (CDKN3) on H/R-evoked injury was assessed by measuring cell viability via Cell Counting Kit-8 (CCK-8), apoptosis (flow cytometry and caspase 3 activity), ferroptosis via Fe2+, glutathione (GSH), reactive oxygen species (ROS) and malondialdehyde (MDA) markers and inflammation cytokines interleukin-1beta (IL-1β) and tumor necrosis factor alpha (TNF-α). The BACH1/CDKN3 relationship was examined by chromatin immunoprecipitation (ChIP) experiment and luciferase assay. BACH1 was increased in MI serum and H/R-stimulated AC16 cardiomyocytes. Functionally, disruption of BACH1 mitigated H/R-evoked in vitro apoptosis, ferroptosis and inflammation of AC16 cardiomyocytes. Mechanistically, BACH1 activated CDKN3 transcription and enhanced CDKN3 protein expression in AC16 cardiomyocytes. Our rescue experiments validated that BACH1 disruption attenuated H/R-evoked AC16 cardiomyocyte apoptosis, ferroptosis and inflammation by downregulating CDKN3. Additionally, BACH1 disruption could activate the adenosine monophosphate-activated protein kinase (AMPK) signaling by downregulating CDKN3 in H/R-stimulated AC16 cardiomyocytes. Our study demonstrates that BACH1 activates CDKN3 transcription to induce H/R-evoked damage of AC16 cardiomyocytes partially via AMPK signaling.

Dysregulated nicotinamide adenine dinucleotide metabolome in patients hospitalized with COVID-19.

Nicotinamide adenine dinucleotide (NAD+) depletion has been postulated as a contributor to the severity of COVID-19; however, no study has prospectively characterized NAD+ and its metabolites in relation to disease severity in patients with COVID-19. We measured NAD+ and its metabolites in 56 hospitalized patients with COVID-19 and in two control groups without COVID-19: (1) 31 age- and sex-matched adults with comorbidities, and (2) 30 adults without comorbidities. Blood NAD+ concentrations in COVID-19 group were only slightly lower than in the control groups (p < 0.05); however, plasma 1-methylnicotinamide concentrations were significantly higher in patients with COVID-19 (439.7 ng/mL, 95% CI: 234.0, 645.4 ng/mL) than in age- and sex-matched controls (44.5 ng/mL, 95% CI: 15.6, 73.4) and in healthy controls (18.1 ng/mL, 95% CI 15.4, 20.8; p < 0.001 for each comparison). Plasma nicotinamide concentrations were also higher in COVID-19 group and in controls with comorbidities than in healthy control group. Plasma concentrations of 2-methyl-2-pyridone-5-carboxamide (2-PY), but not NAD+, were significantly associated with increased risk of death (HR = 3.65; 95% CI 1.09, 12.2; p = 0.036) and escalation in level of care (HR = 2.90, 95% CI 1.01, 8.38, p = 0.049). RNAseq and RTqPCR analyses of PBMC mRNA found upregulation of multiple genes involved in NAD+ synthesis as well as degradation, and dysregulation of NAD+-dependent processes including immune response, DNA repair, metabolism, apoptosis/autophagy, redox reactions, and mitochondrial function. Blood NAD+ concentrations are modestly reduced in COVID-19; however, NAD+ turnover is substantially increased with upregulation of genes involved in both NAD+ biosynthesis and degradation, supporting the rationale for NAD+ augmentation to attenuate disease severity.

Evaluation of antioxidant and anti-inflammatory properties, bioactive compound profiling, and molecular mechanisms of a multicomponent Thai herbal formulation

BackgroundMedicinal plants have long been used as dietary supplements to reduce the risk of chronic diseases, inflammation, cancer, and metabolic syndromes. Traditional remedies possess therapeutic properties, making them promising candidates for further investigation and potential pharmaceutical development. Aim of the studyThis study aimed to evaluate the efficacy of Belog Plus (BP), a polyherbal product containing five Thai medicinal plants: Citrus aurantifolia, Cannabis sativa, Tiliacora triandra, Alpinia galanga, and Piper nigrum, combined with safflower seed oil. This study focused on quantifying the total phenolic content (TPC) and total flavonoid content (TFC), and identifying key herbal biomarkers that contribute to its therapeutic properties. In addition to assessing the antioxidant and anti-inflammatory potential of the plant extracts, the study explored the molecular mechanisms underlying their anti-inflammatory activity, offering a comprehensive understanding of BP's efficacy. MethodsThe ethanolic extract of BP and its components were assessed for antioxidant potential using DPPH, FRAP, and H2O2 induced oxidative stress. The anti-inflammatory activity was evaluated using the Griess reaction assay, and the mechanisms were explored through mRNA and protein expression analysis. The TPC and TFC were measured using the Folin–Ciocalteu (F–C) assay and the aluminium chloride colorimetric assay, respectively, while herbal biomarkers were identified using LC-MS/MS analysis. ResultsThe results revealed that the ethanolic extract of BP (6.25-100 µg/ml) exhibited a potent anti-inflammatory effect through nitric oxide inhibition (IC50 24.4 μg/ml) and significantly reducing the expression of inflammatory genes iNOS, COX-2, IL-6, and TNF-α. Additionally, it significantly reduced the expression of inflammatory proteins iNOS and COX-2 at concentrations of 6.25-25 µg/ml. Among the individual components, C. aurantifolia, A. galanga, and P. nigrum showed potent anti-inflammatory effects with IC50 values of 35.7, 6.5, and 23.3 μg/ml, respectively. The TPC and TFC results demonstrated significant levels of phenolic (80.6 µg GAE/mg) and flavonoid (47.4 µg catechin/mg) compounds. Additionally, the LC-MS/MS analysis identified a variety of bioactive compounds known for their anti-inflammatory properties. ConclusionThese findings support BP's potential use as a dietary supplement to mitigate the risk of chronic inflammatory diseases, with its ethanolic extract containing bioactive phenolic and flavonoid compounds that significantly suppress iNOS and COX-2 protein expressions.

Transcriptomic analysis of genes associated with vitamin D receptor signalling reveals differences between skin cancers.

Vitamin D activates the vitamin D receptor (VDR), which dimerizes preferentially with the retinoid X receptor-α (RXRα). This heterodimer connects with genetic elements responsive to vitamin D, inhibiting or stimulating gene activity. We performed Nanostring® analysis of VDR/RXRα to compare the mRNA expression of this heterodimer and their correlated transcriptomes in non-melanoma skin cancer (basal cell carcinomas (BCC) and squamous cell carcinomas (SCC)) and melanocytic lesions (intradermal nevi (IN), and melanomas (MM)) with control skin. To evaluate VDR, RXRα and other 22 correlated genes in BCC, SCC, IN and MM, paraffin samples had their transcriptomes analysed using Nanostring®, a platform that allows multiple mRNA analyses. There were 46 samples, including 11 BCC, 10 SCC, 10 IN, 12 MM and 3 pools of control skins. Most mRNAs differed between the lesion groups and the control group. BCC and SCC NCOR2 were upregulated; in MM and IN, RXRγ was higher than in the control group. TP53, FOXO3 and MED1 showed a significant difference when we compared the BCC group to the SCC group. Melanoma and intradermal nevi differed only in AhR. VDR and RXRα were lower than the control in all groups. The panel shows a clear difference between the non-melanocytic cancers and, on the other hand, a slight difference between the melanocytic lesions. The study of vitamin D's influence through its receptor and RXRα is an exciting issue for understanding the importance of this pathway, and the present study can impact the prevention and treatment strategies, mainly in non-melanocytic tumours.