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Background: Breast cancer (BC) is the most prevalent malignant tumor among women worldwide and a significant cause of cancer-related deaths in females. Recent studies have shown that lipid metabolism-related genes (LMRGs) exhibit prognostic potential in various types of tumors, including BC. Our study aimed to establish a novel model to predict the metastasis of BC. Methods: Clinical information and corresponding RNA data of patients with BC were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. Consensus clustering was performed to identify novel molecular subgroups. Estimation of Stromal and Immune Cells in Malignant Tumor Tissues using Expression, microenvironment cell populations counter, microenvironment cell populations counter, and single-sample gene set enrichment analyses were employed to determine the tumor immune microenvironment and immune status of the identified subgroups. Functional analyses, including Gene Ontology and gene set enrichment analyses, were conducted to elucidate the underlying mechanisms. A prognostic risk model was constructed using the Least Absolute Shrinkage and Selection Operator algorithm and multivariate Cox regression analysis. Results: This study identified differential gene expression between patients with BC exhibiting metastasis and those without metastasis using public databases. Using the obtained data, we established predictive models based on six LMRGs. Furthermore, consensus clustering and prognostic score grouping analysis revealed that differentially expressed LMRGs influence tumor prognosis by regulating tumor immunity. To facilitate clinical application, we developed a nomogram integrating the risk model and clinical characteristics to accurately predict the prognosis of patients with BC. Conclusion: We developed and validated a novel signature associated with LMRGs for predicting disease-free survival in patients with BC. The expression of LMRGs correlates with the immune microenvironment of patients with BC, providing new insights and improved strategies for the diagnosis and treatment of BC. [ABSTRACT FROM AUTHOR]

Background: Lung adenocarcinoma (LUAD), the most common subtype of lung cancer, is the primary contributor to cancer-linked fatalities. Dysregulation in the proliferation of cells and death is primarily involved in its development. Recently, tetraspanins, a group of transmembrane proteins, have gained increasing attention for their potential role in the progression of LUAD. Hence, our endeavor involved the development of a novel tetraspanin-based model for the prognostication of lung cancer. Methods: A comprehensive set of bioinformatics tools was utilized to evaluate the expression of tetraspanin-related genes and assess their significance regarding prognosis. Hence, a robust risk signature was established through machine learning. The prognosis-predictive value of the signature was evaluated in terms of clinical application, functional enrichment, and the immune landscape. Results: The research first identified differential expression of tetraspanin genes in patients with LUAD via publicly available databases. The resulting data were indicative of the value that nine of them held regarding prognosis. Five distinct elements were utilized in the establishment of a tetraspanin-related model (TSPAN7, TSPAN11, TSPAN14, UPK1B, and UPK1A). Furthermore, as per the median risk scores, the participants were classified into high- and low-risk groups. The model was validated using inner and outer validation sets. Notably, consensus clustering and prognostic score grouping analysis revealed that tetraspanin-related features affect tumor prognosis by modulating tumor immunity. A nomogram based on the tetraspanin gene was constructed with the aim of enhancing the poor prognosis of high-risk groups and facilitating clinical application. Conclusion: Through machine learning algorithms and in vitro experiments, a novel tetraspanin-associated signature was developed and validated for survival prediction in patients with LUAD that reflects tumor immune infiltration. This could potentially provide new and improved measures for diagnosis and therapeutic interventions for LUAD. [ABSTRACT FROM AUTHOR]

Rationale: MicroRNA (miRNA) control of post-transcription gene expression in the nucleus accumbens (NAc) has been implicated in methamphetamine (METH) dependence. Conditioned place preference (CPP) is a classical animal procedure that reflects the rewarding effects of addictive drugs. miR-222-3p has been reported to play a key role in various neurological diseases and is strongly associated with alcohol dependence. Nevertheless, the role of miR-222-3p in METH dependence remains unclear. Objective: To explore the molecular mechanisms underlying the role of miR-222-3p in the NAc in METH-induced CPP. Methods: miR-222-3p expression in the NAc of METH-induced CPP mice was detected by quantitative real-time (qPCR). Following adeno-associated virus (AAV)-mediated overexpression or knockdown of miR-222-3p in the NAc, mice were subjected to CPP to investigate the effects of miR-222-3p on METH-induced CPP. Target genes of mir-222-3p were predicted using bioinformatics analysis. Candidate target genes for METH-induced CPP were validated by qPCR. Results: miR-222-3p expression in the NAc was decreased in CPP mice. Overexpression of miR-222-3p in the NAc blunted METH-induced CPP. Ppp3r1, Cdkn1c, Fmr1, and PPARGC1A were identified as target gene transcripts potentially mediating the effects of miR-222-3p on METH-induced CPP. Conclusion: Our results highlight miR-222-3p as a key epigenetic regulator in METH-induced CPP and suggest a potential role for miR-222-3p in the regulation of METH-induced reward-related changes in the brain. [ABSTRACT FROM AUTHOR]

Rationale: MicroRNAs (miRNAs) regulate neuroplasticity-related proteins and are implicated in methamphetamine (METH) addiction. RhoA is a small Rho GTPase that regulates synaptic plasticity and addictive behaviors. Nevertheless, the functional relationship between RhoA and upstream miRNAs of METH addiction remains unclear. Objective: To explore the molecular biology and epigenetic mechanisms of the miR-31-3p/RhoA pathway in METH addiction. Methods: RhoA protein and its potential upstream regulator, miR-31-3p, were detected. A dual luciferase reporter was employed to determine whether RhoA constituted a specific target of miR-31-3p. Following adeno-associated virus (AAV)-mediated knockdown or overexpression of miR-31-3p or RhoA in the dorsal hippocampus (dHIP), mice were subjected to conditioned place preference (CPP) to investigate the effects of miR-31-3p and RhoA on METH-induced addictive behaviors. Results: RhoA protein was significantly decreased in the dHIP of CPP mice with a concomitant increase in miR-31-3p. RhoA was identified as a direct target of miR-31-3p. Knockdown of miR-31-3p in the dHIP was associated with increased RhoA protein and attenuation of METH-induced CPP. Conversely, overexpression of miR-31-3p was associated with decreased RhoA protein and enhancement of METH effects. Similarly, knockdown of RhoA in the dHIP enhanced METH-induced CPP, whereas RhoA overexpression attenuated the effects of METH. Parallel experiments using sucrose preference revealed that the effects of miR-31-3p/RhoA pathway modulation were specific to METH. Conclusions: Our findings indicate that the miR-31-3p/RhoA pathway in the dHIP modulates METH-induced CPP in mice. Our results highlight the potential role of epigenetics represented by non-coding RNAs in the treatment of METH addiction. [ABSTRACT FROM AUTHOR]

Determining the postmortem interval (PMI) is an important task in forensic pathology. However, a reliable means of determining the PMI between 24 h and approximately 7 days after death has not yet been established. A previous study demonstrated that subunit A of protein phosphatase 2A (PP2A-A) is a promising candidate to estimate the PMI during the first 96 h. However, more detailed work is still needed to investigate PP2A's function in PMI estimation. PP2A is a serine/threonine phosphatase consisting of three subunits (PP2A-A, PP2A-B, and PP2A-C), and its activation is reflected by Tyr-307 phosphorylation of the catalytic subunit (P-PP2A-C). In this study, we speculated that the other two subunits of PP2A and the activation of PP2A may play different roles in estimating the PMI. For this purpose, mice were euthanized and stored at different temperatures (4, 15, and 25 °C). At each temperature, the musculus vastus lateralis was collected at different time points (0, 24, 48, and 96 h) to investigate the degradation of PP2A-B, PP2A-C, and P-PP2A-C (Tyr-307). Homocysteine (Hcy) was used to establish a hyperhomocysteinemia animal model to explore the effects of plasma Hcy on PMI estimation. The data showed not only that PP2A-C was more stable than PP2A-B, but also that it was not affected by homocysteine (Hcy). These characteristics make PP2A-C a promising candidate for short-term (24 h to 48 h) PMI estimation. [ABSTRACT FROM AUTHOR]

Drug addiction can be described as a chronic and relapsing brain disease. Behavioral sensitization is believed to share similar mechanisms with relapse. Our previous studies have demonstrated that ifenprodil could attenuate methamphetamine (METH)-induced behavioral sensitization. However, the mechanism underlying this process has not been fully investigated. Protein phosphatase 2A (PP2A) is a conserved serine/threonine protein phosphatase that has been linked to many neurological diseases; however, there are few reports about PP2A in the context of drug addiction. In this study, we measured the level of phosphorylated (p-) GluN2B (Serine; Ser 1303), PP2A/B (a regulatory subunit of PP2A), and PP2A/C (a catalytic subunit of PP2A) in different brain regions such as the prefrontal cortex (PFc), nucleus accumbens (NAc), dorsal striatum (DS), and hippocampus (Hip). We also used ifenprodil, a selective antagonist of GluN2B to clarify the relationship between GluN2B and PP2A. The results showed that METH increased the level of p-GluN2B (Ser 1303) and PP2A/B in the DS and ifenprodil blocked this increase. We further examined the interaction between PP2A/B and PP2A/C in the DS and found that METH treatment increased the interaction between PP2A/B and PP2A/C, which was also blocked by ifenprodil. Then, we explored the pathway downstream of PP2A in the DS and found that p-AKT (Threonine; Thr 308) but not p-AKT (Ser 473) was dephosphorylated by PP2A. Taken together, these results indicated that the GluN2B-PP2A-AKT cascade was involved in METH-induced behavioral sensitization. [ABSTRACT FROM AUTHOR]

Rho-associated coiled-coil-containing protein kinase 2 (ROCK2) has been known as an effector for the small GTPase Rho and plays an important role in tumor progression and metastasis. However, the effect of ROCK2 in gastric cancer (GC) has not been identified. This study showed that ROCK2 expression significantly increased in clinical GC tissues compared with adjacent non-cancer tissues. Immunohistochemistrical analysis showed that high expression of ROCK2 was correlated with tumor grade, tumor-node-metastasis stage, infiltration depth, lymph node invasion and Ki-67, and predicted poor prognosis in 135 gastric cancer specimens. In addition, we found that upregulated ROCK2 promoted proliferation, metastasis and invasion of GC cells, while ROCK2 knockdown led to the opposite results in vitro by Cell Counting Kit-8 (CCK-8) assay, colony formation assays, flow cytometric analysis and trans-well assays. Our findings supported that ROCK2 was a significant protein in the progress of GC and would provide a novel promising therapeutic strategy against human GC. [ABSTRACT FROM AUTHOR]

Septin4, a member of polymerizing GTP-binding proteins family, is reported to be involved in cytoskeletal organization in mitosis, apoptosis, fibrosis, and other cellular processes. Since various Septin4 expression patterns were reported in different diseases, this study aimed to investigate Septin4 expression in human LX-2 cell line stimulated by lipopolysaccharides (LPS) and attempted to clarify the relationship between Septin4 and hepatic inflammatory injury and fibrosis. In this subject, human stellate cell line LX-2 was stimulated by LPS. The expression of Septin4 was analyzed by Western blot and quantitative real-time PCR. To observe the relationship among Toll-like receptor 4 (TLR4), TGF-β, and Septin4, proteins from the anti-TLR4 antibody blocked cells, as well as the TGF-β-induced cells, were analyzed by the method of Western blot. As the results, LPS could induce the alteration of α-smooth muscle actin and Septin4 expression in LX-2 cells. Septin4 expression was regulated by LPS stimulation through TLR4 and TGF-β pathway. These results therefore suggest that Septin4 may be involved in the process of activation of hepatic stellate cells by LPS stimulation. Further work would focus on the function of Septin4 in hepatic inflammatory injury and fibrosis. [ABSTRACT FROM AUTHOR]

Accurately identifying and differentiating the types of injuries in decomposed corpses is a major challenge in forensic identification. Forensic investigations involving decomposed cadavers pose challenges in determining the cause of death. Traditional methods often lack conclusive evidence. However, the implementation of advanced analytical techniques, such as comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GC × GC-TOF/MS), shows promise in overcoming these limitations, but the potential in this area remains limited. Therefore, this study aims to bridge this gap by exploring the potential of GC × GC-TOF/MS in the analysis of volatile organic compounds (VOCs) changes within decaying ante- and post-mortem injuries.The research emphasizes the forensic significance of VOCs changes in decomposed cadavers. We used GC × GC-TOF/MS analysis to identify the specific volatile compounds in putrefied corpse tissue samples from mice. The GC × GC-TOF/MS analysis results showed that under winter conditions, PC1 explained 57.16% of the variance, and PC2 explained 25.23% of the variance; while under summer conditions, PC1 explained 71.89% of the variance, and PC2 explained 24.49% of the variance. This demonstrates the potential of GC × GC-TOF/MS in identifying specific VOCs present in tissue samples that can serve as potential biomarkers for distinguishing between antemortem and postmortem injury. GC × GC-TOF/MS analysis revealed distinct VOC patterns in both conditions. Comprehensive use of GC × GC-TOF/MS analysis enhances accuracy in identifying and characterizing ante- and post-mortem injuries in decomposed cadavers. This study can significantly contribute to the field of forensic medicine and improve the accuracy of forensic investigations. [ABSTRACT FROM AUTHOR]

This article explores the development and challenges of forensic medicine in Africa, comparing it to developed countries. It addresses limited resources, funding, and a shortage of trained professionals. The growth of forensic investigation capabilities and the challenges of funding and technology access are discussed. Training and education have improved, but disparities remain. Partnerships with developed countries and international organizations are crucial to bridge the gap. A comprehensive legal framework is important, but disparities exist among African countries. Harmonizing forensic laws would enhance cooperation. The role of forensic medicine in the criminal justice system is examined, emphasizing the need to build trust in forensic evidence. International collaboration and capacity building are key to advancing forensic medicine in Africa. Investments in infrastructure, funding, training, and legal frameworks are required. By leveraging partnerships, Africa can develop its forensic medicine capabilities for a fair and effective criminal justice system. [ABSTRACT FROM AUTHOR]