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PubMed2026

The longitudinal expression of P. aeruginosa reference genes in infection-mimicking media.

Quantitative reverse transcription PCR (RT-qPCR) is a popular and reliable tool for monitoring fluctuations in functional bacterial gene expression. A necessary step of the qRT-qPCR process is the use of a reference gene, which acts to distinguish between technical bias and true biological variation. Many reference genes have been defined for bacterial species; however, few studies have validated their stability across strain types and environmental test conditions. In this study of Pseudomonas aeruginosa, the expression consistency of seven commonly used reference genes (rpoD, proC, rpoS, 16S, algD, gyrA and ampC) was assessed in P. aeruginosa laboratory (PAO1) and clinical (LESB65) isolates grown in Lysogeny broth, synthetic cystic fibrosis (CF) media 2 (SCFM2) and CF lung media (CFLM) at various growth time points (2, 6, 24 and 72 h). The stability of the reference genes was then ranked using the RefFinder programme, and three differentially ranked (rpoS, 16S and ampC) were used to interpret the expression of a Pseudomonas virulence-related gene (exoS). The results showed that 16S was the only reference gene that was quantifiably expressed by both P. aeruginosa strains grown in all media types at all growth times. Furthermore, analysing the expression of exoS with different reference genes significantly influenced the calculated expression of exoS in SCFM2 and CFLM. This study has identified a suitable reference gene for RT-qPCR with P. aeruginosa grown in complex respiratory-mimicking media. The results presented here also highlight the importance of validating reference gene expression under the chosen experimental conditions and increase our understanding of how pathogen biology can fluctuate across diverse conditions. Such knowledge is paramount for the development of novel therapeutics, including antimicrobials and anti-virulence agents.

Pseudomonas aeruginosa↗

PubMed2026

METTL14-mediated m6A modification of CCNE1 accelerates progression of myelodysplastic syndromes via MAPK-ERK and PI3K-AKT signaling pathways.

BACKGROUND: N6-methyladenosine (m6A) is the most common RNA modification and plays a key role in the initiation, progression, and relapse of multiple cancers, including hematologic malignancies. However, the role of m6A and m6A regulatory genes in myelodysplastic syndromes (MDS) remains unclear. This study aims to elucidate the function and molecular mechanism of methyltransferase METTL14 in MDS. METHODS: RT-qPCR was used to assess the expression of multiple m6A regulators, focusing on METTL14 in MDS patients and cell lines. METTL14 overexpressing and knockdown cell lines were established, and CCK-8, EdU, and flow cytometry assays were performed to explore the biological functions of METTL14.Dot blot, MeRIP-Seq, MeRIP-qPCR, RT-qPCR, and Western blot were employed to investigate the underlying molecular mechanism. RESULTS: Dysregulation of multiple m6A regulators was observed in MDS, among which METTL14 was upregulated. Elevated METTL14 expression increases MDS risk and adverse prognosis, emerging as a biomarker for poor prognosis. METTL14 promoted proliferation and cell-cycle progression of MDS cells while inhibiting apoptosis; corresponding changes were observed in cell cycle and apoptosis markers. METTL14 regulated cellular m6A levels. Downstream targets of METTL14 were enriched in cell cycle-related pathways, with CCNE1 identified as a critical target. Knockdown of METTL14, actinomycin D, or S-adenosylhomocysteine treatment reduced CCNE1 mRNA and protein levels. Furthermore, METTL14 activated MAPK-ERK and PI3K-AKT signaling via CCNE1 in an m6A-dependent manner, thereby promoting proliferative MDS cells' capacity. CONCLUSIONS: This study delineates a METTL14/m6A/CCNE1 signaling axis in MDS progression and suggests that METTL14-mediated m6A modification may be a potential therapeutic target for MDS.

Humans↗

PubMed2026

Human m6A demethylase FTO modulates the flowering time of tomato plants under low-temperature stress.

N6-methyladenosine (m6A) RNA modification plays an important role in plant development and environmental stress responses. However, whether m6A demethylation modulates flowering under low-temperature (LT) stress in tomatoes remains unclear. Here, we investigated whether ectopic expression of FTO, a well-characterized human m6A demethylase, influences flowering and post-transcriptional behaviour in tomato (Solanum lycopersicum) under LT conditions. Flowering of transgenic tomato plants expressing FTO was analyzed under LT and normal conditions (NC), and the impacts of FTO on transcripts-specific m6A level, mRNA stability and splicing efficiency of flowering-related genes were evaluated using RT-qPCR, LC-MS/MS, m6A-IP-qPCR, and RNA decay and splicing analyses. FTO-expressing plants exhibited accelerated flowering specifically under LT, whereas no significant differences were observed under normal growth conditions. This phenotype was accompanied by increased expression of positive floral regulators (SlMC, SlFCA, and SlJ2) and decreased expression of negative regulators (SlSVP, SlSP, and SlTMF) under LT conditions. Notably, these expression changes were associated with altered mRNA stability, with positive regulators showing increased stability and negative regulators showing reduced stability under LT conditions. m6A-IP-qPCR analysis indicated reduced m6A enrichment in these selected transcripts in FTO-expressing plants. In addition to effects on mRNA stability, FTO expression was associated with changes in the splicing efficiency of SlMC transcripts. Collectively, our findings indicate that human FTO functions as an mRNA m6A demethylase in tomatoes and is associated with altered RNA regulatory processes under LT conditions. These findings suggest that m6A-mediated post-transcriptional regulation contributes to stress-induced flowering plasticity under LT conditions, rather than direct activation of canonical flowering pathways.

Abiotic stress↗

PubMed2024

Identification and analysis of key genes related to efferocytosis in colorectal cancer.

UNLABELLED: The impact of efferocytosis-related genes (ERGs) on the diagnosis of colorectal cancer (CRC) remains unclear. In this study, efferocytosis-associated biomarkers for the diagnosis of CRC were identified by integrating data from transcriptome sequencing and public databases. Finally, the expression of biomarkers was validated by real-time quantitative polymerase chain reaction (RT-qPCR). Our study may provide a reference for CRC diagnosis. BACKGROUND: It has been shown that some efferocytosis related genes (ERGs) are associated with the development of cancer. However, it is still uncertain how ERGs may influence the diagnosis of colorectal cancer (CRC). METHODS: In our study, the CRC cohorts were gained from transcriptome sequencing and the gene expression omnibus (GEO) database (GSE71187). Efferocytosis related biomarkers with diagnostic utility for CRC were identified through combining differentially expressed analysis, machine learning algorithms, and receiver operating characteristic (ROC) analysis. Then, infiltration abundance of immune cells between CRC and control was evaluated. The regulatory networks (including mRNA-miRNA-lncRNA and miRNA/transcription factors (TF)-mRNA networks) were created. Finally, the expression of biomarkers was validated via real-time quantitative polymerase chain reaction (RT-qPCR). RESULTS: There were 3 biomarkers (ELMO3, P2RY12, and PDK4) related diagnosis for CRC patients gained. ELMO3 was highly expressed in CRC group, while P2RY12 and PDK4 was lowly expressed. Besides, the infiltrating abundance of 3 immune cells between CRC and control groups was significantly differential, namely activated CD4 memory T cells, macrophages M0, and resting mast cells. We then constructed a mRNA-miRNA-lncRNA network containing 3 mRNAs, 33 miRNAs, and 22 lncRNAs, and a miRNA/TF-mRNA network including 3 mRNAs, 33 miRNAs, and 7 TFs. Additionally, RT-qPCR results revealed that the expression trends of all biomarkers were consistent with the transcriptome sequencing data and GSE71187. CONCLUSION: Taken together, this study provides three efferocytosis related biomarkers (ELMO3, P2RY12, and PDK4) for diagnosis of CRC, providing a scientific reference for further studies of CRC.

Humans↗

PubMed2025

Nationwide carrier screening for congenital adrenal hyperplasia: integrated approach of CYP21A2 pathogenic variant genotyping and comprehensive large gene deletion analysis.

BACKGROUND: Congenital Adrenal Hyperplasia (CAH) due to 21-hydroxylase deficiency (21-OHD CAH) is an autosomal recessive disorder resulting from pathogenic variants in the CYP21A2 gene. The disorder exhibits variable clinical severity, with the classical form manifesting as salt-wasting crisis in neonates, while inducing ambiguous genitalia in females and precocious puberty in males through simple virilization. Identifying at-risk couples during the preconception stage holds significance for optimizing reproductive choices. METHODS: This study included 204 unrelated preconception individuals undergoing carrier screening. A robust molecular approach was devised for rapid detection of nine prevalent CYP21A2 pathogenic variants, utilizing Amplification-Refractory Mutation System (ARMS) PCR and mass spectrometry (MS) genotyping. Complementary quantitative real-time PCR (qPCR) and PCR-based Restriction Fragment Length Polymorphism (PCR-based RFLP) assays were employed for comprehensive gene deletion analysis. The concordance of pathogenic variant detection between ARMS-PCR and MS, as well as the consistency observed in molecular insights from qPCR and PCR-based RFLP, fortified the accuracy of our methodologies. RESULTS: Our combined method could detect common pathogenic variants and large gene deletions with high concordance between ARMS-PCR, MS genotyping, qPCR, and PCR-based RFLP assays. Remarkably, two carriers exhibited significant large-scale deletions, while another manifested a carrier state due to minor-scale gene conversion. The estimated carrier frequency in our cohort using these methods was approximately 1 in 65 individuals. CONCLUSIONS: The methods used for 21-OHD CAH carrier screening offer a reliable, swift, and cost-effective approach for detecting common pathogenic variants and large deletions. Despite some limitations, such as the inability to detect all rare mutations, the techniques provide a practical solution for carrier screening, with an estimated carrier frequency of 1 in 65 in our study population. These findings support the potential adoption of these methods in national carrier screening programs, offering a practical balance between efficiency and affordability.

Humans↗

PubMed2026

Isolation of folate-producing probiotic candidates and their effects on homocysteine metabolism and gut microbiota composition.

BACKGROUND: Folate deficiency is a global nutritional problem associated with multiple adverse health outcomes, including impaired one-carbon metabolism and elevated homocysteine levels (hyperhomocysteinemia). Gut microbiota-mediated folate biosynthesis has emerged as a promising strategy for improving the host's folate status. This study aimed to isolate folate-producing probiotic strains, clarify their folate synthesis mechanisms, and evaluate their regulatory effects on folate metabolism and gut microbiota. METHODS: High-throughput cultivation and screening were performed to isolate folate-producing candidate probiotics. Whole-genome sequencing analysis, pathway reconstruction, and metabolite profiling in fermented milk were performed to explore folate biosynthesis pathways and microbial cross-feeding interactions. A folate-deficient mouse model was established to evaluate the effects of a candidate probiotic cocktail on serum folate, homocysteine (Hcy) levels, and gut microbiota composition using quantitative PCR (qPCR) and 16S rRNA gene sequencing. RESULTS: High-throughput screening identified 8 high-folate-producing candidate probiotic strains, including Lactiplantibacillus plantarum and Heyndrickxia coagulans, from over 1,000 isolates. Genomic analysis revealed that most commonly used probiotics lacked para-aminobenzoic acid (pABA) biosynthesis genes but retained downstream modules, suggesting a reliance on cross-feeding with pABA-producing gut commensals such as Bacteroides. Metabolite profiling of fermented milk demonstrated that selected strains significantly increased bioactive 5-methyltetrahydrofolate (5-MeTHF) and tetrahydrofolate levels. In vivo, only a high-dose candidate probiotic cocktail significantly elevated serum folate (p < 0.05) and reduced homocysteine levels (p < 0.05) in deficient mice. Fecal qPCR confirmed dose-dependent transient persistence of the administered bacterial species. Consistent with the qPCR data, 16S rRNA gene sequences demonstrated significant enrichment of these administered species observed in the high-dose group. Furthermore, beta-diversity analysis found that high-dose candidate probiotic supplementation promoted a shift in the gut microbiota composition toward a normal profile, partially mitigating the dysbiosis induced by the folate-deficient diet. This effect was accompanied by a significant enrichment of potential short-chain fatty acid producers (e.g., Lachnospiraceae and Oscillospiraceae) and the depletion of potential opportunistic pathogens. CONCLUSION: This study screened high-folate-producing candidate probiotic strains and demonstrated their ability to synthesize the active form of 5-MeTHF. Moreover, folate-producing candidate probiotic cocktail treatment significantly improved folate status and Hcy metabolism and modulated the gut microbiota by enriching potential beneficial bacterial taxa. These findings suggested that folate-producing probiotics may serve as a promising microbiota-based strategy to improve folate availability and homocysteine metabolism.

B vitamin↗

PubMed2026

Development and epidemiological investigation of a TaqMan-based multiplex real-time quantitative PCR assay for simultaneous detection of five bovine viruses (BVDV, AKAV, BNoV, BEV, and BCoV).

INRODUCTION: Infectious diseases caused by bovine viral diarrhea virus (BVDV), Akabane virus (AKAV), bovine norovirus (BNoV), bovine enterovirus (BEV), and bovine coronavirus (BCoV) significantly threaten the cattle industry, resulting in substantial economic losses. These pathogens often present similar clinical signs, such as diarrhea, vomiting, and reproductive disorders in pregnant cattle, and frequent covert or mixed infections further complicate accurate diagnosis. Therefore, rapid, sensitive, and field‑deployable diagnostic methods are essential for effective disease surveillance and control in the cattle industry. METHODS: In this study, we report for the first time the establishment of a TaqMan‑based real‑time quantitative PCR (qPCR) assay that enables simultaneous detection of these five bovine viruses. Multiple sequence alignment of conserved genomic regions was performed, and virus‑specific primers and probes were designed and optimized using Beacon Designer 7 software. Subsequently, a TaqMan‑based multiplex real‑time qPCR assay was established for simultaneous detection of BVDV, AKAV, BNoV, BEV, and BCoV. The established detection method was applied to 200 clinical samples collected from 10 farms in multiple regions of Jilin Province. RESULTS: The results showed that the detection rates for BVDV, AKAV, BNoV, BEV, and BCoV were 33.50%, 0.50%, 4.50%, 7.50%, and 12.00%, respectively. Mixed infections were detected in 9 samples co‑infected with two of the five pathogens, with an overall mixed infection rate of 4.50%. Compared with conventional PCR, coincidence rates were 100% for BVDV, AKAV, BNoV, BEV, and BCoV. DISCUSSION: These findings indicate that the TaqMan multiplex real‑time qPCR assay developed here demonstrates favorable specificity, sensitivity, and reproducibility. This assay enables efficient detection and surveillance of bovine viruses, offering a reliable technical tool for the diagnosis and control of corresponding viral diseases in cattle.

Akabane virus (AKAV)↗

PubMed2026

Molecular Evolution and Expression Analysis of the ADH Gene Family in Apple Bud Mutants.

Alcohol dehydrogenase (ADH) catalyzes the reduction of aldehydes to alcohols, key precursor substrates for volatile ester biosynthesis, which determines the characteristic aroma of apple fruit. However, a comprehensive genome-wide investigation of the ADH gene family in apple has been lacking. In this study, we systematically identified ADH genes in the apple genome using integrated bioinformatics approaches, including phylogenetic analysis, synteny evaluation, promoter cis-element prediction, codon usage bias assessment, and protein interaction network modeling. Expression patterns were examined through transcriptomic data and validated by RT-qPCR analysis across different organs and among 'Red Delicious' and its four bud mutant lines. We identified 44 ADH genes, with 12 forming a prominent cluster on chromosome 1. RT-qPCR analysis revealed that MdADH20 was dramatically upregulated in the 'Red Chief' mutant (relative expression of 59.38), suggesting its pivotal role. Phylogenetic analysis revealed a close evolutionary relationship with wild strawberry. The encoded proteins were generally stable and predominantly localized to the cytoplasm. Promoter analysis showed enrichment of growth/development-related and ARE elements, while codon usage analysis identified AGA, GCU, GUU, and CUU as preferred codons. Protein interaction prediction suggested MdADH19 and MdADH20 as hub proteins. Expression profiling and RT-qPCR further identified MdADH20 as a core candidate gene, characterized by its stable and high expression, particularly in the 'Red Delicious' mutant. Its central position in the predicted protein-protein interaction network suggests a potential regulatory role in the aroma biosynthesis pathway of apple fruit. This study provides the first systematic genome-wide characterization of the apple ADH gene family, establishing a theoretical groundwork for deciphering aroma biosynthesis mechanisms and offering potential target genes for flavor improvement through bud mutation breeding strategies.

ADH gene family↗

PubMed2026

Bioinformatics Analysis and Experimental Validation of Key Genes Associated With Hypoxia and Ischemia in Myocardial Infarction.

BACKGROUND: This study aimed to screen and identify core hypoxia-ischemia-related genes associated with myocardial infarction (MI). METHOD: Two transcriptomic datasets, GSE97320 and GSE48060, were retrieved from the Gene Expression Omnibus (GEO) database. After data integration and batch effect elimination, differential expression analysis was performed to screen differentially expressed genes (DEGs), and the corresponding visualization analysis was conducted. Hypoxia-ischemia-related genes were acquired from the GeneCards database; hypoxia-ischemia related genes (HIRGs) were subsequently identified by intersecting the retrieved genes with screened DEGs. Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were implemented to explore the biological functions and underlying signaling pathways of HIRGs. A combination of protein-protein interaction (PPI) network analysis and random forest (RF) algorithm was applied to screen hub genes from HIRGs. The external GEO dataset GSE66360 was utilized to validate the expression patterns of candidate hub genes. Furthermore, an acute myocardial infarction (AMI) mouse model was established, and quantitative real-time polymerase chain reaction (qPCR) was performed to detect the mRNA expression levels of hub genes in myocardial tissues for in vivo validation. RESULTS: A total of 633 DEGs and 308 hypoxia-ischemia-related genes were screened in the present study, among which 21 overlapping HIRGs were obtained. PLAUR and IL1B were finally identified as two hub genes from HIRGs based on PPI network and random forest algorithm. The qPCR results revealed that the expression levels of PLAUR and IL1B were significantly upregulated in the AMI group compared with the sham operation group (p < 0.05). CONCLUSION: The present findings demonstrated that PLAUR and IL1B serve as pivotal genes involved in the pathological hypoxia-ischemia process of AMI. These two genes may act as novel biomarkers and promising therapeutic targets for the recognition and clinical intervention of hypoxia-ischemia injury following AMI.

Myocardial Infarction↗

PubMed2025

Absolute Quantification of Cellular and Cell-Free Mitochondrial DNA Copy Number from Human Blood and Urinary Samples Using Real Time Quantitative PCR.

Mitochondrial DNA copy number (mtDNA-CN) in human body fluids is widely used as a biomarker of mitochondrial dysfunction in common metabolic diseases. Here we describe protocols to measure cellular and/or cell free (cf)-mtDNA-CN in human peripheral blood and urine. Cellular mtDNA is located inside the mitochondria where it encodes key subunits of the respiratory complexes in mitochondria and is usually normalized with reference to the nuclear genome as the mitochondrial genome to nuclear genome ratio (Mt/N) in either whole blood, peripheral blood mononuclear cells (PBMCs), or whole urine. Cf -mtDNA is usually found outside of the mitochondria, often released following mitochondrial damage, can trigger inflammatory pathways, and is usually measured as mtDNA-CN per volume of the starting material. Here we describe how to (1) separate whole blood into PBMCs, plasma, and serum fractions and whole urine into urinary supernatant and pellet, (2) prepare DNA from each of these fractions, (3) prepare reference standards for absolute quantification, (4) carry out qPCR for either relative or absolute quantification from test samples, (5) analyze qPCR data, and (6) calculate the sample size to adequately power studies. The protocol presented here is suitable for high throughput use and can be modified to quantify mtDNA from other body fluids, human cells, and tissues.

Humans↗

PubMed2026

Evaluating sampling strategies for the detection of avian influenza viruses in the environment.

Highly pathogenic avian influenza (HPAI) viruses pose an increasing threat to wildlife, livestock and human health, underscoring the need for scalable and early-warning surveillance systems. Environmental RNA (eRNA) monitoring offers a non-invasive, cost-effective alternative to traditional host-based sampling by detecting viral genetic material shed into the environment. Despite its utility, the relative performance of different environmental sampling approaches for avian influenza virus (AIV) detection remains poorly resolved. Here, we conducted a longitudinal study with monthly sampling over approximately one year across two urban waterfowl ponds in Aotearoa New Zealand to evaluate four eRNA sampling strategies - fresh faeces, sediment, active-filtered water and passive-filtered water - for their ability to detect AIV. Using a combination of metagenomic sequencing and RT-qPCR, we show that all sample types can detect AIV, although detections were highly inconsistent across sampling methods, locations and time points. While metagenomic sequencing provided valuable genomic data, including subtype identification and phylogenetic context, RT-qPCR exhibited greater sensitivity, with active-filtered water yielding the highest detection rates, and is currently the more cost-effective approach for large-scale surveillance. Notably, AIV detections were asynchronous among sample types and frequently lacked temporal concordance, suggesting that environmental heterogeneity, RNA persistence, and methodological detection limits strongly influence surveillance outcomes. Despite these inconsistencies, phylogenetic analyses revealed that detected viruses belong to established Australasian lineages, highlighting the ability of environmental surveillance to capture ecologically relevant viral diversity. Our findings demonstrate that while eRNA-based surveillance holds substantial promise as a complementary tool for AIV monitoring, its effectiveness is highly dependent on the environmental sampling strategies and laboratory detection methods used.

Ducks↗

PubMed2024

Clinical characteristics and genetic analysis of four pediatric patients with Kleefstra syndrome.

BACKGROUND: Kleefstra syndrome spectrum (KLEFS) is an autosomal dominant disorder that can lead to intellectual disability and autism spectrum disorders. KLEFS encompasses Kleefstra syndrome-1 (KLEFS1) and Kleefstra syndrome-2 (KLEFS2), with KLEFS1 accounting for more than 75%. However, limited information is available regarding KLEFS2. KLEFS1 is caused by a subtelomeric chromosomal abnormality resulting in either deletion at the end of the long arm of chromosome 9, which contains the EHMT1 gene, or by variants in the EHMT1 gene and the KMT2C gene that cause KLEFS2. METHODS: This study was a retrospective analysis of clinical data from four patients with KLEFS. Exome sequencing (ES) and Sanger sequencing techniques were used to identify and validate the candidate variants, facilitating the analysis of genotype‒phenotype correlations of the EHMT1 and KMT2C genes. Protein structure modeling was performed to evaluate the effects of the variants on the protein's three-dimensional structure. In addition, real-time quantitative reverse transcription‒polymerase chain reaction (RT‒qPCR) and western blotting were used to examine the protein and mRNA levels of the KMT2C gene. RESULTS: Two patients with KLEFS1 were identified: one with a novel variant (c.2382 + 1G > T) and the other with a previously reported variant (c.2426 C > T, p.Pro809Leu) in the EHMT1 gene. A De novo deletion at the end of the long arm of chromosome 9 was also reported. Furthermore, a patient with KLEFS2 was identified with a novel variant in the KMT2C gene (c.568 C > T, p.Arg190Ter). The RT‒qPCR and western blot results revealed that the expression of the KMT2C gene was downregulated in the KLEFS2 sample. CONCLUSION: This study contributes to the understanding of both KLEFS1 and KLEFS2 by identifying novel variants in EHMT1 and KMT2C genes, thereby expanding the variant spectrum. Additionally, we provide the first evidence of how a KMT2C variant leads to decreased gene and protein expression, enhancing our understanding of the molecular mechanisms underlying KLEFS2. Based on these findings, children exhibiting developmental delay, hypotonia, distinctive facial features, and other neurodevelopmental abnormalities should be considered for ES to ensure early intervention and treatment.

Child↗

PubMed2026

Spatially Contextualized Integrative Genomics Highlights Neuronal and Glial Regulatory Programs in Low Back Pain.

PURPOSE: Low back pain (LBP) is a heterogeneous pain condition with a measurable genetic contribution, but the genes, brain cell types, and spatial tissue contexts through which inherited risk is expressed remain unclear. We aimed to define cell-type-specific and spatially contextualized genetic mechanisms underlying LBP. METHODS: FinnGen R12 LBP GWAS summary statistics (42,521 cases and 353,224 controls) were integrated with brain single-nuclei eQTL data across eight major brain cell classes. We evaluated genome-wide polygenic signal using LDSC, prioritized genes using MAGMA and PoPS, and performed brain cell-type-specific eQTL-anchored Mendelian randomization, primarily based on single-instrument Wald ratio estimates, followed by Bayesian colocalization. Spatial genetic mapping was conducted using gsMap in an E16.5 murine embryonic atlas and two adult human lumbar spinal cord Visium sections. Selected candidates were assessed by RT-qPCR in neuronal-like and astroglial-like inflammatory cell models. RESULTS: LDSC supported interpretable polygenic signal for LBP. MAGMA and PoPS showed partial gene-level convergence, with TCF4 and TMEFF2 supported by both approaches. Across 1641 tested gene-cell type exposures, significant eQTL-anchored MR associations were concentrated in excitatory neurons, oligodendrocytes, inhibitory neurons, and astrocytes. Integrated eQTL-anchored MR, colocalization, and gene-prioritization evidence highlighted CLEC18A, QPRT, and GMPPB as higher-priority non-MHC candidates with moderate, but not strong, colocalization support. gsMap localized LBP-associated enrichment to neuroaxis-related embryonic regions, including brain, spinal cord, sympathetic nerve, and dorsal root ganglion, and to neuronal-like niches in adult lumbar spinal cord. RT-qPCR showed model-dependent expression changes, with QPRT and LGI4 preferentially responsive in neuronal-like SH-SY5Y cells and GMPPB and DPYSL5 responsive in astroglial-like U251 cells. CONCLUSION: These findings support neuronal and glial regulatory programs as plausible contributors to LBP genetic susceptibility and highlight CLEC18A, QPRT, and GMPPB as higher-priority non-MHC candidates with moderate colocalization support. The results provide a spatially contextualized framework for candidate prioritization in LBP, while emphasizing the need for larger cell-type-specific eQTL resources and functional validation before therapeutic or mechanistic conclusions can be drawn.

Mendelian randomization↗

PubMed2026

Kaposi Sarcoma-Associated Herpesvirus Is Not Detected in Osteosarcoma From KSHV-Endemic African Countries and the Non-Endemic United States Populations.

Osteosarcoma is an aggressive primary malignant bone tumor of poorly defined etiology that predominantly affects adolescents and young adults. A viral cause has long been proposed, and a recent study from Xinjiang, China, reported frequent detection of Kaposi sarcoma-associated herpesvirus (KSHV) in Uyghur osteosarcoma cases, suggesting a possible association in this KSHV-endemic population. Whether this association extends to broader populations remains unknown. Our study investigated the presence of KSHV in osteosarcoma specimens from KSHV-endemic African countries (Cameroon, Kenya, South Africa, Zambia) and the non-endemic United States. A total of 356 formalin-fixed paraffin-embedded and fresh-frozen specimens were retrieved or prospectively collected. In 77 selected high-quality specimens, KSHV infection was assessed by immunohistochemistry for LANA1 and by qPCR targeting 5 viral open reading frames (ORF25, ORF26, ORF37, ORF65, and ORF73). LANA1 expression was undetectable in all tumors. Using qPCR, 75/77 specimens were negative for all targets, 1/77 excluded due to insufficient remaining DNA quantity to perform the assay, and 1/77 positive across all five targets. Additionally, we studied the KSHV seroprevalence in a separate cohort comprised of 49 sera obtained from individuals with osteosarcoma from Zambia (n = 39) and the United States (n = 10). We measured by ELISA the presence of specific antibodies against four KSHV antigens: K8.1, KCP, VCA, and LANA1. KSHV seropositivity was detected in 15/39 individuals from Zambia and none from the United States. In the absence of compelling evidence, our findings could not support an association between KSHV infection and osteosarcoma in our study population.

Humans↗

PubMed2026

Functional analysis of stem-loop structures within the SARS-CoV-2 5' untranslated region using a plasmid-based reporter system.

The 5' untranslated region (5'UTR) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contains highly conserved stem-loop structures that regulate viral gene expression. This study investigated the functional contributions of selected 5'UTR stem-loop elements to reporter gene expression using a plasmid-based mammalian expression system. Five constructs were tested using a non-integrating plasmid: the wild-type (WT) 5'UTR fused to GFP under the CMV promoter, and four deletion variants (ΔB, ΔC, ΔD, and ΔE) corresponding to deletions of stem-loop 4 (SL4), SL4.5, SL5, and SL5a, respectively. Following transfection into HEK293 cells, GFP fluorescence was quantified using a fluorescence microplate reader, and relative GFP transcript abundance was assessed by RT-qPCR. Deletion of SL4 (ΔB) resulted in marked reduction in both fluorescence and relative transcript abundance compared to WT construct, indicating substantially reduced reporter gene expression. In contrast, deletion of SL4.5, SL5, or SL5a did not produce the pronounced reduction observed for ΔB, although descriptive RT-qPCR analysis indicated differences in relative transcript abundance among these variants. Statistical analysis of fluorescence data demonstrated significant differences among constructs (one-way ANOVA, p < 0.05). Because the reporter assay was based on plasmid expression, the observed differences likely reflect combined contributions from transcription, transcript abundance, RNA stability, and translation rather than translation alone. These findings demonstrate that the SL4 region contributes substantially to reporter gene expression in this experimental system, whereas the remaining stem-loop regions examined exert comparatively modest effects. This study provides additional insight into the functional organization of the SARS-CoV-2 5'UTR and establishes a framework for future investigations aimed at distinguished the transcriptional, post-transcriptional, and translational contributions of individual RNA structural elements.

5' Untranslated Regions↗

PubMed2026

Identification and expression validation of key genes of Xiaozhengtongluo formula in the treatment of diabetic nephropathy by Mendelian randomization.

Xiaozhengtongluo formula (XZTL) has a positive effect on the treatment of diabetic nephropathy (DN), but its mechanism is not fully understood. Therefore, it is important to explore the key genes of XZTL in the treatment of DN. Differentially expressed genes (DEGs) between DN and control obtained from GSE96804, drug target genes of XZTL, and disease target genes of DN obtained from public databases were intersected. Genes of intersection were defined as candidate genes. Next, Mendelian randomization (MR) analysis was used to ascertain the causal associations between candidate genes and DN. Afterwards, key genes were confirmed through receiver operating characteristic (ROC) curve analysis and expression validation. Subsequently, enrichment analysis, molecular regulatory network analysis, and molecular docking were conducted. Finally, experimental verification of the expression levels of key genes was performed through reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Altogether, 29 candidate genes were screened via MR analysis, identifying APOD, IGFBP3, and LPL as significantly associated with DN. IGFBP3 and APOD were risk factors, whereas LPL was protective. Consistent expression trends across training and validation datasets defined them as key genes. All three were co-enriched in 26 pathways, including oxidative phosphorylation. Regulatory networks showed MIR497HG/hsa-miR-19a-3p regulated IGFBP3, and NEAT1/hsa-miR-29a-3p regulated LPL; IGFBP3 and LPL were co-targeted by SP3 and SP1. Molecular docking revealed APOD-baicalein, LPL-oleic acid, and IGFBP3-quercetin binding, suggesting therapeutic potential. RT-qPCR confirmed aberrant expression of these genes in DN, which was normalized by XZTL intervention. In this study, three key genes (APOD, IGFBP3, and LPL) of XZTL in the treatment of DN were finally obtained, providing mechanistic clues for understanding XZTL's multi-target mechanism and providing experimentally tractable candidate targets for DN molecular subtyping, targeted therapeutic development, and precision medicine approaches in TCM.

Diabetic Nephropathies↗

PubMed2026

Binding analysis of the response regulator NarL protein to the promoter of the O6-methylguanine-DNA methyltransferase (ogt) gene in Salmonella Typhimurium.

BACKGROUND: Salmonella Typhimurium (STM) is a gram-negative bacterium that causes severe gastrointestinal disorders in both animals and humans. The regulation of DNA repair genes is critical for maintaining genomic stability of the bacteria. O6-methylguanine DNA methyltransferase (Ogt), plays a vital role in repairing alkylated DNA in STM; however, the transcriptional regulation of ogt gene remains poorly characterized. Furthermore, NarL is a transcriptional regulator, involved in the pathogenesis of STM under anaerobic condition. Therefore, this study investigated the interaction between NarL protein and the promoter region of the ogt gene. METHODS: In this study, narl gene was cloned in pET32a vector and NarL protein was expressed in Escherichia coli BL21 (DE3). Subsequently, the ogt gene promoter (pogt) was selected, amplified, cloned and its activity was evaluated. Electrophoretic mobility shift assay (EMSA), isothermal titration calorimetry (ITC), molecular docking were employed to elucidate the interaction between NarL protein and ogt promoter. Furthermore, the regulatory role of NarL in ogt gene expression was validated in vivo using RT-qPCR and β-galactosidase assay. RESULTS: This study resulted that NarL protein interacts specifically with the ogt promoter, as confirmed by EMSA and ITC, with ΔG of - 9.42 kcal mol⁻¹. Furthermore, RT-qPCR and β-galactosidase assays demonstrated that deletion of narl significantly (P ≤ 0.01) decreased ogt transcript levels and promoter activity than wild Salmonella Typhimurium, whereas exogenous supplementation of recombinant NarL protein restored the expression. These findings suggest that NarL plays a potential regulatory role in ogt gene expression in response to environmental signals. CONCLUSION: These findings highlight an interaction between NarL protein and the promoter region of ogt gene in Salmonella Typhimurium, linking nitrogen metabolism with the DNA repair pathway in STM, which may contribute to the bacterial survival under nitrosative stress.

Salmonella typhimurium↗

PubMed2026

A CHO-Derived Matrix Attachment Region Enhances Transgene Dosage, SATB1 Recruitment, and Monoclonal Antibody Expression in a Dual-Promoter Vector System.

The production of monoclonal antibodies (mAbs) in Chinese hamster ovary (CHO) cells is often affected by position-effect variegation and the gradual loss of transgene expression over time. Hence, we have designed a dual-promoter IgG expression vector and compared versions that either contained or lacked a CHO-derived matrix-attachment region (MAR). Stable CHO-S pools, cultured in serum-free conditions, revealed that the MAR-containing construct produced higher and more consistent antibody levels across ten passages, as confirmed by Western blot and Protein A Octet analysis. Product-quality analysis by size-exclusion chromatography and reducing SDS-PAGE confirmed formation of properly assembled, mainly monomeric antibodies in both cases. Quantitative PCR indicated greater transgene copy numbers in MAR pools (+ 48% for the light chain and + 71% for the heavy chain), and RT-qPCR showed roughly fourfold higher transcript levels for both chains relative to controls. Bioinformatic analysis revealed several SATB1 binding motifs within the MAR sequence, and ChIP-qPCR demonstrated SATB1 association with the MAR-linked transgene locus. Overall, the data suggested that a CHO-native MAR could enhance transgene dosage and transcriptional activity, while preserving product integrity, possibly through SATB1-mediated chromatin organization. Ongoing work includes chromatin-mark profiling and process-level productivity measurements to better define the impact of MAR-based vector design on biomanufacturing performance.

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