JOURNAL OF CELLULAR AND MOLECULAR MEDICINE最新文献

Cardiac fibrosis is featured cardiac fibroblast activation and extracellular matrix accumulation. Ac4C acetylation is an important epigenetic regulation of RNAs that has been recently discovered, and it is solely carried out by NAT10, the exclusive enzyme used for the modification. However, the potential regulatory mechanisms of ac4C acetylation in myocardial fibrosis following myocardial infarction remain poorly understood. In our study, we activated fibroblasts in vitro using TGF-β1 (20 ng/mL), followed by establishing a myocardial infarction mouse model to evaluate the impact of NAT10 on collagen synthesis and cardiac fibroblast proliferation. We utilized a NAT10 inhibitor, Remodelin, to attenuate the acetylation capacity of NAT10. In the cardiac fibrosis tissues of chronic myocardial infarction mice and cultured cardiac fibroblasts (CFs) in response to TGF-β1 treatment, there was an elevation in the levels of NAT10 expression. This increase facilitated proliferation, the accumulation of collagens, as well as fibroblast-to-myofibroblast transition. Through the administration of Remodelin, we effectively reduced cardiac fibrosis in myocardial infarction mice by inhibiting NAT10's ability to acetylate mRNA. Inhibition of NAT10 resulted in changes in collagen-related gene expression and ac4C acetylation levels. Mechanistically, we found that NAT10 upregulates the acetylation modification of BCL-XL mRNA and enhances the stability of BCL-XL mRNA, thereby upregulating its protein expression, inhibiting the activation of Caspase3 and blocking the apoptosis of CFs. Therefore, the crucial involvement of NAT10-mediated ac4C acetylation is significant in the cardiac fibrosis progression, affording promising molecular targets for the treatment of fibrosis and relevant cardiac diseases.

There is increasing evidence of a significant association between the gut microbiome and juvenile idiopathic arthritis (JIA). However, whether this association is causal remains to be determined. This study was a two-sample Mendelian randomization (MR) study using publicly available genome-wide association study (GWAS) summary data to investigate the causal relationship between the gut microbiome and JIA. We used summary data on gut flora and JIA obtained from genome-wide association studies (GWAS) from MiBioGen and NHGRI-EBI, using inverse variance weighting as the main method to analyse causality in the TSMR causality analysis. To check the stability of the TSMR results, we performed several sensitivity analyses and assessed the presence of reverse causality through a reverse TSMR analysis. We calculated the degree of sample overlap where applicable. The current TSMR analyses identified four bacterial taxa associated with JIA. Specifically, two bacteria, Catenibacterium (p = 2 × 10–2) and Holdemania (p = 4 × 10–2), were negatively associated with the risk of developing JIA, suggesting a protective effect, while Olsenella (p = 1 × 10–2) and Rikenellaceae (RC9gutgroup) (p = 1 × 10–2) were positively associated with the risk of JIA, suggesting that these two bacteria may be risk factors for JIA. However, the results for Catenibacterium and Holdemania should be interpreted with caution due to instability observed in ‘leave-one-out’ sensitivity analyses. Reverse TSMR analyses found no evidence of reverse causality between JIA and gut flora. Our confirmation of a causal relationship between gut flora and JIA provides an innovative perspective for the study of JIA: targeting and modulating dysregulation of specific bacterial taxa to prevent and treat JIA.

Among all cancers occurring in the head and neck region, oral squamous cell carcinoma (OSCC) is the most common oral malignant tumours characterized by its aggressiveness and metastasis. The development of transcriptomics technology has greatly facilitated the diagnosis of various cancers. However, identifying genetic biomarkers is limited by data from a single batch of OSCC samples, and integrating analysis across different platforms remains a great challenge. In this study, we integrated five OSCC transcriptome datasets using an innovative strategy capable of mitigating batch effect, and extracting information from different datasets based on changes in the relative expression of gene pairs. By leveraging a machine learning method, we developed a prediction model including 27 differential gene pairs (DGPs) to discriminate OSCC from control samples, achieving an area under the receiver operating characteristic curve (AUC) of 0.8987 for the training set. Moreover, the model demonstrated commendable performance in four external validation sets, with AUCs of 0.9926, 0.9688, 0.8052 and 0.8565, respectively. Subsequently, a prognostic model was constructed based on six key gene pairs through univariate and multivariate Cox regression analysis. The AUCs of the model at 1-year and 3-year overall survival time prediction were 0.717 and 0.779 in an independent dataset. Our result demonstrates the effectiveness of this new method of integrating data and identifying DGPs. Using DGPs can significantly improve the performance of both diagnostic and prognostic models.

Neuroinflammation is increasingly recognized as a pivotal factor in the development and progression of neurodegenerative disorders. While correlations between inflammatory cytokines and these diseases are documented, the definitive causal dynamics remain to be elucidated. We explored the causal association between 91 circulating inflammatory cytokines and Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), multiple sclerosis (MS) and Parkinson's disease (PD) through Mendelian randomization analysis. Leveraging genetic variants from the most comprehensive genome-wide association studies (GWAS) available for these cytokines, AD, ALS, MS and PD, we sought to uncover the causality. Our study validated a causal influence of genetically determined cytokine levels on the susceptibility to AD, with notable cytokines including C-X-C motif chemokine 1 (OR = 0.9993, p = 0.0424), Interleukin-18 (OR = 0.9994, p = 0.0186), Leukaemia inhibitory factor receptor (OR = 0.9993, p = 0.0122) and Monocyte chemoattractant protein-1 (OR = 0.9992, p = 0.0026) in risk attenuation. Additionally, a positive causal relationship was identified between two cytokines—C-C motif chemokine 19 (OR = 1.0005, p = 0.0478) and Fms-related tyrosine kinase 3 ligand (OR = 1.0005, p = 0.0210)—and AD incidence. Conversely, transforming growth factor-alpha (OR = 0.8630, p = 0.0298), CD40L receptor (OR = 0.7737, p = 1.1265E-09) and Interleukin-12 subunit beta (OR = 0.8987, p = 0.0333) showed inverse associations with ALS, MS and PD, respectively. The consistency observed in various MR analyses, alongside sensitivity analysis, underscored the absence of horizontal pleiotropy, thus supporting our causal findings. This study reveals, for the first time, a genetically anchored causal nexus between levels of circulating inflammatory cytokines and the risk of neurodegenerative diseases.

Osteoporosis (OP), a systemic skeletal disease, is characterized by low bone mass, bone tissue degradation and bone microarchitecture disturbance. Bazi Bushen, a Chinese patented medicine, has been demonstrated to be effective in attenuating OP, but the pharmacological mechanism remains predominantly unclear. In this study, the senescence-accelerated mouse prone 6 (SAMP6) model was used to explore bone homeostasis and treated intragastrically for 9 weeks with Bazi Bushen. In vivo experiments showed that Bazi Bushen treatment not only upregulated the levels of bone mineral density and bone mineral content but also increased the content of RUNX2 and OSX. Furthermore, the primary culture of bone mesenchymal stem cells (BMSCs) in SAMP6 mice was used to verify the effects of Bazi Bushen on the balance of differentiation between osteoblasts and adipocytes, as well as ROS and aging levels. Finally, the pharmacological mechanism of Bazi Bushen in attenuating OP was investigated through network pharmacology and experimental verification, and we found that Bazi Bushen could significantly orchestrate bone homeostasis and attenuate the progression of OP by stimulating PI3K-Akt and inhibiting apoptosis. In summary, our work sheds light on the first evidence that Bazi Bushen attenuates OP by regulating PI3K-AKT and apoptosis pathways to orchestrate bone homeostasis.

Glioblastoma (GBM) is a highly aggressive and treatment-resistant malignancy that poses a significant challenge in modern medicine. Despite advances in surgical resection, radiotherapy and chemotherapy, complete eradication of GBM remains elusive due to its diffuse invasion into the brain parenchyma and propensity for recurrence. The tumour microenvironment (TME), particularly macrophages, has emerged as a critical player in GBM progression, invasion and metastasis. In the immune microenvironment of glioma, MS4A6A exhibits unique expression characteristics in macrophages. This study aimed to investigate the potential role of MS4A6A, a gene associated with aging and neurodegenerative diseases, in GBM and its potential as a prognostic biomarker and therapeutic target.

Aberrant transcriptional activation of the androgen receptor (AR) is a predominant cause of prostate cancer (PCa), including both in the initial and androgen-independent stages. Our study highlights Golgi membrane protein 1 (GOLM1) as a key regulator of AR-driven transcriptional activity in PCa progression. Utilizing local clinical data and TCGA data, we have established a robust association between GOLM1 and AR target genes, and further demonstrated that GOLM1 can enhance the expression of AR target genes. We discovered that GOLM1 interacts with PSMD1, a component of the 19S regulatory complex in the 26S proteasome, using mass spectrometry and Co-IP analysis. It is well known that ubiquitin-proteasome plays a vital role in AR expression and transcriptional regulation. Our findings demonstrate that GOLM1 enhances ubiquitin proteasome activity by binding to PSMD1, thereby facilitating AR-driven transcriptional activity and PCa progression. These results indicate that GOLM1 and its associated proteins may become potential therapeutic targets for PCa characterized by dysregulated AR-driven transcriptional activation.

Metastatic lung cancer is a highly prevalent cancer with a very low chance of long-term survival. Metastasis at secondary sites requires that cancer cells develop anoikis resistance to survive during circulation. High levels of bone sialoprotein (BSP), a member of the small integrin-binding ligand N-linked glycoproteins (SIBLINGs), have been shown to promote the spread of lung cancer cells; however, the effects of BSP in anoikis resistance are largely unknown. In this study, we determined that BSP promotes anoikis resistance in lung cancer cells. BSP was also shown to promote the expression of E-cadherin and vimentin (epithelial-to-mesenchymal transition markers, which have been utilized as indicators of anoikis resistance). It appears that BSP facilitates MMP-14-dependent anoikis resistance by inhibiting the synthesis of miR-150-5p and activating the ERK signalling pathway. Knockdown of BSP expression was shown to block lung cancer metastasis by lowering anoikis resistance in vivo. These results indicate that BSP is a promising target to deal with anoikis resistance and metastasis in human lung cancers.

The aim of this study was to investigate the role of 17β-estradiol (E2)-mediated oestrogen receptor (ER) in modulating the depressive-like behaviours of ovariectomy (OVX) mice and the associated mechanisms. E2 was administrated in OVX mice. The behaviour and physiological changes of OVX mice including immobility time in tail suspension test (TST) and forced swimming test (FST), levels of serum E2, inflammatory mediators, oxidative stress factors, indoleamine2,3-dioxygenase 1 (IDO1) and the neurotransmitters mediated by IDO1 activation were then recorded. Cell injury models established by lipopolysaccharide (LPS) or H₂O₂ stimulation in HT22 and BV2 cells were employed to further explore the mechanisms of E2's function. E2 treatment improved OVX-induced increase of immobility time in FST and TST. Meanwhile, E2 ameliorated the changes of inflammatory factors (NF-κB, TNF-α and IL-6), IDO1, IDO1-mediated TRP/KYN pathway and oxidative stress factors (iNOS, MDA, GSH and SOD) in the hippocampus of OVX mice. Interestingly, ERβ inhibitor abolished E2's inhibitory effects on the inflammation and IDO1-mediated TRP/KYN pathway; ERβ inhibitor also abolished E2's anti-oxidative stress effect. In cell experiments, ERβ small interfering RNA (siRNA) pretreatment reversed E2's anti-inflammatory effect on LPS-treated HT22 and BV2 cells and E2's inhibitory effect on IDO1 expression in LPS-treated BV2 cells. ERβ siRNA pretreatment also reversed E2's anti-oxidation effect on H₂O₂-treated HT22 cells. E2 exert the antidepressant function in OVX mice via ERβ-modulated suppression of NF-κB-mediated inflammatory pathway, oxidative stress factors and IDO1-mediated TRP/KYN pathway in the hippocampus.

Wu Y, Song F, Li Y, et al. Acacetin exerts antioxidant potential against atherosclerosis through Nrf2 pathway in apoE^-/- mice. J Cell Mol Med. 2021; 25: 521–534. doi: 10.1111/jcmm.16106

In the article, the second sentence of the Abstract reads “Acacetin, an anti-inflammatory and antiarrhythmic, is frequently used in the treatment of myocarditis, albeit its role in managing atherosclerosis is currently unclear.” is correct. This should read “Acacetin is antiarrhythmic and anti-inflammatory, which is experimentally used in treating myocardial injury.”. The authors confirm all results and conclusions of this article remain unchanged.

We apologize for this error.