Mitochondrial DNA (mtDNA) variability, especially heteroplasmy, is believed to affect cellular immunobiogenesis, particularly in monocytes in metabolic syndrome (MetS). This study aimed to identify associations of monocytic mtDNA variability with its phenotypic indices, including cytokine secretion and gene expression, and cardiometabolic parameters in patients with MetS.

The cross-sectional study recruited 87 adult participants, including 34 healthy blood donors (Control group), 21 obese patients (Obesity group), and 32 MetS patients (MetS group). Blood biochemistry tests were performed on venous blood samples, and monocytes (CD14+ cells) were isolated. Monocyte mtDNA was analyzed by next-generation sequencing to identify low (5–10%) and intermediate (10–95%) heteroplasmy, and homoplasmy (≥95%). Expression of genes related to mitochondrial biogenesis, mitochondrial uncoupling, oxidative stress system, and NF-κB signaling was assessed by quantitative real-time polymerase chain reaction. Monocytes cultured with and without lipopolysaccharide for 24 h were analyzed by enzyme-linked immunosorbent assay to assess the cytokine secretion stimulation index.

Monocyte mtDNA showed low variability, but alternative homoplasmies were significantly more common. Intermediate and low heteroplasmy from the protein-coding locus correlated with stenosis (r = 0.396; 95% confidence interval (CI) 0.067–0.647) and low-density lipoprotein levels (r = −0.258; 95% CI −0.45 – −0.043). Intermediate heteroplasmy from the rRNA locus correlated with blood insulin levels (r = −0.228; 95% CI −0.424 – −0.019). D-loop low heteroplasmy correlated with fasting blood glucose (r = 0.275; 95% CI 0.062–0.464). Homoplasmies were associated with creatinine, blood urea nitrogen, and alkaline phosphatase. Intermediate heteroplasmy in mtDNA was associated with the monocyte cytokine secretion stimulation index (R2 = 0.156, P = 0.003). However, there was no significant association between mtDNA variability and the expression of the various genes.

Monocyte mtDNA shows relatively low variability. Low and Intermediate heteroplasmy are associated with cardiometabolic parameters, and intermediate heteroplasmy is associated with the monocyte cytokine secretion stimulation index.

Adeno-associated virus (AAV) vectors have favorable safety and durable transgene expression but are limited in oncology by insufficient tumor specificity and off-target expression. Tumor hypoxia and non-small cell lung cancer (NSCLC)-associated surface ligands offer complementary layers of biological selectivity for more precise gene delivery. This study proposes an NSCLC-directed, hypoxia-responsive AAV architecture that integrates MGS4-guided capsid targeting with dual hypoxia-responsive element (HRE)-gated promoters driving glutamine-modified C-X-C motif chemokine ligand 9-fragment crystallizable region fusion protein (Q-CXCL9-Fc) expression and baculoviral IAP repeat containing 5 (BIRC5)-linked mesothelin (MSLN) silencing. We conceptually designed an AAV vector that combines three layers of NSCLC selectivity: MGS4-guided capsid targeting, hypoxia-gated transcription, and tumor-active promoter control. The capsid displays the MGS4 peptide, isolated by phage display biopanning as a high-affinity ligand for the lung squamous cell carcinoma cell line HCC15 and later shown to internalize into a substantial fraction of NSCLC cell lines and bind a subset of human NSCLC biopsy samples, indicating activity across multiple NSCLC subtypes. The genome encodes Q-CXCL9-Fc under a 4× HRE-cytomegalovirus promoter to sustain C-X-C motif chemokine receptor 3-dependent T-cell recruitment and a miR-30-based short hairpin RNA targeting MSLN under a 4× HRE-BIRC5 promoter to inhibit tumor progression. This architecture is hypothesized to enrich AAV entry into NSCLC lesions via MGS4 while restricting Q-CXCL9-Fc secretion and MSLN silencing to hypoxic, BIRC5-active tumor regions, enabling synergistic enhancement of antitumor immunity and suppression of tumor-intrinsic pathways. The proposed multimodal, hypoxia-responsive AAV platform represents a conceptual precision oncology strategy that couples environmental sensing, tumor-specific transcription, and peptide-defined tropism within a single vector and could inform next-generation NSCLC-directed AAV systems.

Hepatic myelopathy, a rare neurological complication of decompensated chronic liver disease, profoundly impairs quality of life. While liver transplantation represents the only curative treatment for hepatic myelopathy, we report a case in which progressive and severe spastic paraparesis was markedly improved following embolization of a paraspinal vein shunt.

Irinotecan is a camptothecin derivative that exerts its antitumor effects by metabolizing into the active metabolite 7-ethyl-10-hydroxycamptothecin (SN-38). It is widely used clinically for treating various advanced solid tumors. However, irinotecan frequently induces neutropenia, predisposing patients to infection and even death. This review aims to provide a theoretical basis for the clinical management of irinotecan-induced neutropenia (IIN). Irinotecan and SN-38 mainly induce hematopoietic stem cell damage and dysfunction by inhibiting topoisomerase I and triggering mitochondrial injury, which ultimately results in neutropenia. Notably, the risk factors of IIN include irinotecan dosage, gene polymorphism, individual baseline characteristics, and drug combination. And several strategies effectively prevent IIN, such as adjustment of drug dosage, genotype testing, oral alkalinizing drugs, supplement of granulocyte colony-stimulating factor, and regulation of intestinal microorganisms. In summary, this review systematically elaborates on the classification, epidemiology, pathogenesis, risk factors, and management strategies of IIN, with the goal of providing references for the clinical prevention and management of irinotecan-related adverse reactions.

Studies suggest that Yiguanjian (YGJ) may exert a therapeutic effect on liver fibrosis. However, the active components and molecular targets responsible for its action remain unclear. This study aimed to systematically evaluate the active ingredients and potential targets of YGJ in the treatment of liver fibrosis.

Active compounds and corresponding targets of YGJ were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and the Encyclopedia of Traditional Chinese Medicine (ETCM) databases. Liver fibrosis-related datasets were obtained from the Gene Expression Omnibus (GEO) database and divided into training and validation sets. Differentially expressed genes (DEGs) from the training set were subsequently analyzed using network pharmacology, molecular dynamics simulations, and immune infiltration analysis. Three machine learning models were employed to screen for core targets, followed by Gene Set Enrichment Analysis (GSEA) and Mendelian randomization (MR) analysis. The validation set was used to assess the expression levels and diagnostic potential of core targets.

A total of 2,887 liver fibrosis-related targets and 1,198 YGJ-related targets were identified. Three hundred and three putative targets for YGJ in the treatment of liver fibrosis were identified. Three machine learning methods further narrowed these down to five core targets. Immune infiltration analysis revealed an increase in effector B cells, resting CD4+ memory T cells, γδ T cells, and M1 macrophages during liver fibrosis progression. MR analysis showed that all five core targets (FABP4, MDM2, AKR1B1, PDGFRB, and NR1H4) had odds ratios greater than 1, indicating that they function as risk factors. Expression analyses in both the training and validation sets consistently validated the MR results, demonstrating strong diagnostic potential. GSEA revealed that the core targets were enriched in key signaling pathways, including Wnt, PPAR, and MAPK. Molecular docking and molecular dynamics simulations showed that the active compounds of YGJ exhibited strong binding affinity and stability with the core targets.

YGJ exerts its potential antifibrotic effects by downregulating or antagonizing the risk-associated targets (FABP4, MDM2, AKR1B1, PDGFRB, and NR1H4). These findings provide new insights into the potential of YGJ for treating liver fibrosis, while offering a scientific reference for the prevention and treatment of chronic liver diseases.