Evaluating the cytotoxicity and pathogenicity of multi-walled carbon nanotube through weighted gene co-expression network analysis: a nanotoxicogenomics study

Prometastatic Potential of Non-Functionalized Multiwalled Carbon Nanotubes in the MDA-MB-436 Breast Cancer Cell Line Model

Multiwalled carbon nanotubes (MWCNTs) are used in many areas of industry and medicine. However, there is evidence suggesting profibrogenic action of MWCNTs, probably via the epithelial-mesenchymal transition mechanism (EMT). The aim of this study was to evaluate the prometastatic activity of 5-20 nm and 50-80 nm MWCNTs against cells of the MDA-MB-436 line. We used MTT and NR assays to determine MWCNTs' cytotoxicity and the level of malonylodialdehyde and thiol compounds as indicators of oxidative stress. qRT-PCR was used to examine the expression of EMT markers. The QCM Chemotaxis Cell Migration Assay was used to assess cell migration, while the Cytokine Array Kit and Apoptosis Array Kit were used to determine cytokine expression and induction of apoptosis. The interleukin 6, C-X-C motif chemokine ligand 8, and tumor growth factor beta 1 (TGFB1) secretion was determined by ELISA. MWCNTs were toxic to MDA-MB-436 cells and induced cell death via the apoptosis pathway. MWCNTs induced a low level of oxidative stress and were associated with increased secretion of pro-inflammatory cytokines and chemokines, including proteins important in breast cancer metastasis. Cells incubated with MWCNTs showed increased expression of mesenchymal EMT markers. However, in contrast to these results, the migration of MWCNT-treated cells increased only modestly relative to untreated cells. Also, the secretion of TGFB1, a key inducer and regulator of EMT, increased only slightly. In summary, the multifaceted effect of MWCNTs on cancer cells encourages further work on the safety of nanomaterials.

Exploring genetic signatures of obesity: hub genes and miRNAs unveiled through comprehensive bioinformatic analysis

Objectives

Adipogenesis, the process of fat accumulation in adipose tissue, is closely linked to obesity, a condition characterized by excessive fat storage. Genetic factors significantly contribute to an individual's susceptibility to adipogenesis and the development of obesity.

Methods

In this study, we conducted a comprehensive bioinformatic analysis, including Weighted Gene Co-expression Analysis, differentially expressed gene analysis, and protein-protein interaction analysis, to identify hub genes and miRNAs associated with obesity.

Results

Our findings highlight the potential involvement of genes such as ATP5F1A, FN1, CCl2, RPS14, and RPS16, as well as miRNAs including hsa-miR-6844, hsa-miR-4528, hsa-miR-3686, hsa-miR-3124-3p, hsa-miR-381-3p, and hsa-miR-300 in obesity.

Conclusions

The findings from this study contribute to the growing knowledge of adipogenesis and obesity genetics, and provide potential biomarkers for further investigation and translation into clinical or research applications.

Graphical abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01490-8.

Toward a New Generation of Bio-Scaffolds for Neural Tissue Engineering: Challenges and Perspectives

Neural tissue engineering presents a compelling technological breakthrough in restoring brain function, holding immense promise. However, the quest to develop implantable scaffolds for neural culture that fulfill all necessary criteria poses a remarkable challenge for material science. These materials must possess a host of desirable characteristics, including support for cellular survival, proliferation, and neuronal migration and the minimization of inflammatory responses. Moreover, they should facilitate electrochemical cell communication, display mechanical properties akin to the brain, emulate the intricate architecture of the extracellular matrix, and ideally allow the controlled release of substances. This comprehensive review delves into the primary requisites, limitations, and prospective avenues for scaffold design in brain tissue engineering. By offering a panoramic overview, our work aims to serve as an essential resource, guiding the creation of materials endowed with bio-mimetic properties, ultimately revolutionizing the treatment of neurological disorders by developing brain-implantable scaffolds.

Advanced Theranostic Strategies for Viral Hepatitis Using Carbon Nanostructures

There are several treatment protocols for acute viral hepatitis, and it is critical to recognize acute hepatitis in its earliest stages. Public health measures to control these infections also rely on rapid and accurate diagnosis. The diagnosis of viral hepatitis remains expensive, and there is no adequate public health infrastructure, while the virus is not well-controlled. New methods for screening and detecting viral hepatitis through nanotechnology are being developed. Nanotechnology significantly reduces the cost of screening. In this review, the potential of three-dimensional-nanostructured carbon substances as promising materials due to fewer side effects, and the contribution of these particles to effective tissue transfer in the treatment and diagnosis of hepatitis due to the importance of rapid diagnosis for successful treatment, were extensively investigated. In recent years, three-dimensional carbon nanomaterials such as graphene oxide and nanotubes with special chemical, electrical, and optical properties have been used for the diagnosis and treatment of hepatitis due to their high potential. We expect that the future position of nanoparticles in the rapid diagnosis and treatment of viral hepatitis can be better determined.

Potential miRNA-gene interactions determining progression of various ATLL cancer subtypes after infection by HTLV-1 oncovirus

BACKGROUND

Adult T-cell Leukemia/Lymphoma (ATLL) is a rapidly progressing type of T-cell non-Hodgkin lymphoma that is developed after the infection by human T-cell leukemia virus type 1 (HTLV-1). It could be categorized into four major subtypes, acute, lymphoma, chronic, and smoldering. These different subtypes have some shared clinical manifestations, and there are no trustworthy biomarkers for diagnosis of them.

METHODS

We applied weighted-gene co-expression network analysis to find the potential gene and miRNA biomarkers for various ATLL subtypes. Afterward, we found reliable miRNA-gene interactions by identifying the experimentally validated-target genes of miRNAs.

RESULTS

The outcomes disclosed the interactions of miR-29b-2-5p and miR-342-3p with LSAMP in ATLL_acute, miR-575 with UBN2, miR-342-3p with ZNF280B, and miR-342-5p with FOXRED2 in ATLL_chronic, miR-940 and miR-423-3p with C6orf141, miR-940 and miR-1225-3p with CDCP1, and miR-324-3p with COL14A1 in ATLL_smoldering. These miRNA-gene interactions determine the molecular factors involved in the pathogenesis of each ATLL subtype and the unique ones could be considered biomarkers.

CONCLUSION

The above-mentioned miRNAs-genes interactions are suggested as diagnostic biomarkers for different ATLL subtypes.

Exploration of mRNAs and miRNA classifiers for various ATLL cancer subtypes using machine learning

Background

Adult T-cell Leukemia/Lymphoma (ATLL) is a cancer disease that is developed due to the infection by human T-cell leukemia virus type 1. It can be classified into four main subtypes including, acute, chronic, smoldering, and lymphoma. Despite the clinical manifestations, there are no reliable diagnostic biomarkers for the classification of these subtypes.

Methods

Herein, we employed a machine learning approach, namely, Support Vector Machine-Recursive Feature Elimination with Cross-Validation (SVM-RFECV) to classify the different ATLL subtypes from Asymptomatic Carriers (ACs). The expression values of multiple mRNAs and miRNAs were used as the features. Afterward, the reliable miRNA-mRNA interactions for each subtype were identified through exploring the experimentally validated-target genes of miRNAs.

Results

The results revealed that miR-21 and its interactions with DAAM1 and E2F2 in acute, SMAD7 in chronic, MYEF2 and PARP1 in smoldering subtypes could significantly classify the diverse subtypes.

Conclusions

Considering the high accuracy of the constructed model, the identified mRNAs and miRNA are proposed as the potential therapeutic targets and the prognostic biomarkers for various ATLL subtypes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-022-09540-1.