Dengue virus (DENV) is a small envelope virus of Flaviviridae that is mainly transmitted by Aedes aegypti and Aedes albopictus. It can cause dengue fever with mild clinical symptoms or even life-threatening dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). At present, there are no specific drugs or mature vaccine products to treat DENV. microRNAs (miRNAs) are a class of important non-coding small molecular RNAs that regulate gene expression at the post-transcriptional level. It is involved in and regulates a series of important life processes, such as growth and development, cell differentiation, cell apoptosis, anti-virus, and anti-tumor. miRNAs also play important roles in interactions between host and viral genome transcriptomes. Host miRNAs can directly target the genome of the virus or regulate host factors to promote or inhibit virus replication. Understanding the expression and function of miRNAs during infection with DENV and the related signal molecules of the miRNA-mediated regulatory network will provide new insights for the development of miRNA-based therapies.

Acute respiratory infections are widespread in vulnerable populations of all ages and are characterized by a variety of symptoms. The underlying infection can be caused by a multitude of microorganisms, including viruses and bacteria. Early detection of respiratory infections through rapid pathogen screening is vital in averting infectious respiratory disease epidemics. This study utilized a multiplex real-time PCR system to develop a three-tube reverse transcription-PCR (RT-PCR) assay, enabling simultaneously detect nine respiratory pathogens, including: influenza A and B, adenovirus, respiratory syncytial virus (RSV), Streptococcus pneumoniae, Legionella pneumophila, Haemophilus influenzae, Chlamydia pneumoniae, and Mycoplasma pneumoniae. This technique utilizes a one-step assay, with specifically designed TaqMan primer–probe sets combined in the same tube. This assay provided rapid and simplified detection of the nine prevalent pathogens, as well as increased sensitivity and reduced cross-contamination. This assay was evaluated using 25 related viral/bacterial strains as positive references, the other 25 irrelevant strains as negative controls, and clinical specimens from 179 patients. All positive strains were detected with no amplification of the non-target microorganism mixtures and the assay’s detection limits ranged between 250–500 copies/ml (1.25–2.5 copies/reaction). A total of 167 (93.3%) samples tested positive for at least one of the pathogens identified; 109 of these samples were from patients confirmed to have RSV infections. The diagnostic accuracy of our assay was further confirmed by matching results from classical direct immunofluorescence assay and nucleotide sequencing. These data demonstrate the innovative multiplex real-time PCR assay as a promising alternative to the current approaches used for early screening of acute respiratory infections.

Hepatocellular carcinoma (HCC) is a malignant tumor with the highest mortality rate in the world, and hepatitis B virus (HBV) plays an important role in its development. Long noncoding RNA (lncRNA) is highly related to the inactivation of tumor suppressor genes and the activation of oncogenes in HCC. Researchers have used high-throughput sequencing technology to identify many noncoding transcripts related to the development of HCC and have studied the interaction between these transcripts and DNA, RNA, or protein to determine the relevant mechanism in the development of HCC. In general, the research on lncRNA represents a new field of cancer research, and the imbalance in lncRNA plays an pivotal role in the occurrence of liver cancer. In this review, we summarize some of the dysfunctional lncRNAs in human HCC associated with HBV infection. Their regulatory pathways, functions, and potential molecular mechanisms in the occurrence and development of HCC are discussed.

Background: Escalating cases of multidrug-resistant tuberculosis (MDR-TB) pose a major challenge to global TB control efforts, necessitating innovative diagnostics to empower decentralized detection of gene mutations associated with resistance to rifampicin (RIF) and isoniazid (INH) in Mycobacterium tuberculosis (M. tuberculosis) in resource-constrained settings. Methods: Combining multiplex fluorescent PCR and Multiple Probes Melting Analysis, we identified mutations in the rpoB, katG, ahpC and inhA genes from sputum specimens. We first constructed a reference plasmid library comprising 40 prevalent mutations in the target genes’ resistance determining regions and promoters, serving as positive controls. Our assay utilizes a four-tube asymmetric PCR method with specifically designed molecular beacon probes, enabling simultaneous detection of all 40 mutations. We evaluated the assay’s effectiveness using DNA isolated from 50 clinically confirmed M. tuberculosis sputum specimens, comparing our results with those obtained from Sanger sequencing and retrospective validation involving bacteriological culture and phenotypic drug susceptibility testing (pDST). We also included the commercial Xpert MTB/RIF assay for accuracy comparison. Results: Our data demonstrated remarkable sensitivity in detecting resistance to RIF and INH, achieving values of 93.33% and 95.24%, respectively, with a specificity of 100%. The concordance between our assay and pDST was 98.00%. Furthermore, the accuracy of our assay was comparable to both Sanger sequencing and the Xpert assay. Importantly, our assay boasts a 4.2-h turnaround time and costs only $10 per test, making it an optimal choice for peripheral healthcare settings. Conclusion: These findings highlight our assay’s potential as a promising tool for rapidly, accurately, and affordably detecting MDR-TB.

Liver cancer, classified as a malignant hepatic tumor, can be divided into two categories: primary, originating within the liver, and secondary, resulting from metastasis to the liver from other organs. Hepatocellular carcinoma (HCC) is the main form of primary liver cancer and the third leading cause of cancer-related deaths. The diagnosis and prognosis of HCC using current methods still face numerous challenges. This study aims to develop novel diagnostic and prognostic models while identifying new biomarkers for improved HCC treatment. Diagnostic and prognostic models for HCC were constructed using traditional binary classification methods and machine learning algorithms based on the TCGA database (Downloaded in August 2023). The mechanisms by which APLN (Apelin) affects HCC were investigated using single-cell sequencing data sourced from the GEO database (GSE149614). The diagnostic models yielded by various algorithms could effectively distinguished HCC samples from normal ones. The prognostic model, composed of four genes, was constructed using LASSO and Cox regression algorithms, demonstrating good performance in predicting the three-year survival rate of HCC patients. The HCC biomarker Apelin (APLN) was identified in this study. APLN in liver cancer tissues mainly comes from endothelial cells and is associated with the carcinogenesis of these cells. APLN expression is significantly upregulated in liver cancer tissues, marking it as a viable indicator of endothelial cell malignancy in HCC. Furthermore, APLN expression was determined to be an independent predictor of tumor endothelial cell carcinogenesis, unaffected by its modifications such as single nucleotide variation, copy number variation, and methylation. Additionally, liver cancers characterized by high APLN expression are likely to progress rapidly after T2 stage. Our study presents diagnostic and prognostic models for HCC with appreciably improved accuracy and reliability compared to previous reports. APLN is a reliable HCC biomarker and contributes to the establishment of our models.

Accurate and rapid differentiation of Mycobacterium tuberculosis ( M. tuberculosis ) and nontuberculous mycobacteria (NTM) remains challenging, especially in smear-negative samples. Routine diagnostic methods often lack specificity and rapidity, highlighting the urgency of developing applicative molecular diagnostics to guide clinical management and improve patient outcomes. We developed and validated a multiplex PCR assay employing TaqMan probes targeting the IS6110 and rpoB genes to simultaneously detect M. tuberculosis and 23 NTM species in a single reaction, while avoiding cross-reactivity. Analytical performance was assessed using reference strains, and clinical feasibility was evaluated in a prospective, single-center pilot study involving 96 smear-negative presumptive tuberculosis patients. The assay’s diagnostic performance was compared to mycobacterial culture, DNA sequencing, and the Xpert MTB/RIF assay. The multiplex PCR assay demonstrated a wide linear dynamic range (10 ⁸ –10 ³ copies/mL), low limit of detection (10 ³ copies/mL), high precision (intra-assay CV 0.05–1.18%, inter-assay CV 0.08–2.57%), and complete specificity for both M. tuberculosis and NTM. In the clinical feasibility study, using a combination of clinical diagnosis and mycobacterial culture as reference standards, it achieved sensitivities of 73.33% ( M. tuberculosis ) and 100% (NTM), and specificities of 100% ( M. tuberculosis ) and 94.33% (NTM). Notably, it reliably identified M. tuberculosis /NTM co-infections. The Multiplex PCR assay fills a critical gap in the rapid, accurate diagnosis of M. tuberculosis and NTM in challenging clinical specimens. With a cost of $5 per test and a turnaround time of 3 h, our assay has the potential to improve patient care and optimize mycobacterial infection treatment strategies in resource-limited settings. IMPORTANCE: Rapid and accurate differentiation between Mycobacterium tuberculosis ( M. tuberculosis ) and nontuberculous mycobacteria (NTM) is essential for ensuring timely and appropriate treatment, especially in high tuberculosis (TB) burden regions. Conventional diagnostic methods, such as smear microscopy and culture, often lack the sensitivity or speed needed for reliable results in smear-negative cases, risking misdiagnosis and delayed care. In this study, we developed a novel multiplex real-time PCR assay capable of simultaneously detecting M. tuberculosis and up to 23 clinically relevant NTM species with high specificity and sensitivity. By targeting distinct genetic markers for M. tuberculosis and NTM, our assay provides a cost-effective, 3-h diagnostic solution that enhances diagnostic accuracy in challenging samples. This innovation addresses a critical gap in mycobacterial diagnostics, supporting improved patient outcomes and aligning with global health priorities for the control and elimination of TB.