Alzheimer's disease (AD) poses a major challenge due to its impact on the elderly population and the lack of effective early diagnosis and treatment options. In an effort to address this issue, a study focused on identifying potential biomarkers and therapeutic agents for AD was carried out. Using RNA-Seq data from AD patients and healthy individuals, 12 differentially expressed genes (DEGs) were identified, with 9 expressing upregulation (ISG15, HRNR, MTATP8P1, MTCO3P12, DTHD1, DCX, ST8SIA2, NNAT, and PCDH11Y) and 3 expressing downregulation (LTF, XIST, and TTR). Among them, TTR exhibited the lowest gene expression profile. Interestingly, functional analysis tied TTR to amyloid fiber formation and neutrophil degranulation through enrichment analysis. These findings suggested the potential of TTR as a diagnostic biomarker for AD. Additionally, druggability analysis revealed that the FDA-approved drug Levothyroxine might be effective against the Transthyretin protein encoded by the TTR gene. Molecular docking and dynamics simulation studies of Levothyroxine and Transthyretin suggested that this drug could be repurposed to treat AD. However, additional studies using in vitro and in vivo models are necessary before these findings can be applied in clinical applications.

Adenomyosis can reduce the chance of clinical pregnancy in women undergoing assisted conception. Treatment with prolonged gonadotrophin-releasing hormone analogue (GnRHa) downregulation prior to IVF/ICSI has been postulated to improve pregnancy outcomes.

Breast cancer (BC) is the leading commonly diagnosed cancer in the world, with complex mechanisms underlying its development. There is an urgent need to enlighten key genes as potential therapeutic targets crucial to advancing BC treatment. This study sought to investigate the influence of doxorubicin (DOX) on identified key genes consistent across numerous BC datasets obtained through bioinformatic analysis. To date, a meta-analysis of publicly available coding datasets for expression profiling by array from the Gene Expression Omnibus (GEO) has been carried out. Differentially Expressed Genes (DEGs) identified using GEO2R revealed a total of 23 common DEGs, including nine upregulated genes and 14 downregulated genes among the datasets of three platforms (GPL570, GPL6244, and GPL17586), and the commonly upregulated DEGs, showed significant enrichment in the cell cycle in KEGG analysis. The top nine genes, NUSAP1, CENPF, TPX2, PRC1, ANLN, BUB1B, AURKA, CCNB2, and CDK-1, with higher degree values and MCODE scores in the cytoscape program, were regarded as hub genes. The hub genes were activated in disease states commonly across all the subclasses of BC and correlated with the unfavorable overall survival of BC patients, as verified by the GEPIA and UALCAN databases. qRT-PCR confirmed that DOX treatment resulted in reduced expression of these genes in BC cell lines, which reinforces the evidence that DOX remains an effective drug for BC and suggests that developing modified formulations of doxorubicin to reduce toxicity and resistance, could enhance its efficacy as an effective therapeutic option for BC.

Small interfering RNA (siRNA) holds promise as a therapeutic approach for various diseases, yet challenges persist in achieving efficient delivery, biodistribution, and minimizing off-target effects. Lipidic nanoformulations are being developed to address these hurdles, but the optimal dose for preclinical investigations remains unclear. This systematic review and meta-analysis aims to determine the optimal dose of nanoformulated siRNA and explore factors influencing dose and biodistribution, informing future research in this field. A comprehensive search across four electronic databases identified 25 potential studies, with 15 selected for meta-analysis after screening. Quality assessment was conducted using SYRCLE's risk of bias tool modified for animal studies based on research question. Study found an average siRNA dose of 1.513 ± 0.377 mg/kg with mean downregulation of 65.79 % achieved, with siRNA-LNPs mainly accumulating in the liver. While individual factors showed no significant correlation, a positive association between dose and downregulation was observed, alongside other influencing factors. Extrapolating intravenous doses to potential oral doses, we suggest an initial oral dose range of 1.5 to 8 mg/kg, considering siRNA-LNPs bioavailability. These findings contribute to advancing RNA interference research and encourage further exploration of siRNA-based treatments in personalized medicine.

Exposure to pesticides is a risk factor for various diseases, yet its association with biological aging remains unclear. We aimed to systematically investigate the relationship between pesticide exposure and biological aging.

Several studies show that the long non-coding RNA HOX transcript antisense RNA (HOTAIR) was upregulated in human cancer, which was associated with several clinical features and may have the potential to be prognostic markers. However, the significance of HOTAIR in hepatocellular carcinoma remains unclear. We performed a meta-analysis and bioanalysis to further investigate the association between HOTAIR and hepatocellular carcinoma.

Glycans have attracted much attention in cancer therapeutic strategies, and cell surface proteins and lipids with glycans are known to be altered during the carcinogenic process. However, our understanding of how the glycogenes profile responds to drug stimulation remains incomplete. In this study, we search public databases for Sequence Read Archive data on drug-treated liver cancer cells, with the aim to comprehensively analyze the drug responses of glycogenes via bioinformatic meta-analysis. The study comprised 86 datasets, encompassing eight distinct liver cancer cell lines and 13 different drugs. Differentially expressed genes were quantified, and 399 glycogenes were identified. The glycogenes signature was then analyzed using bioinformatics methodologies. In the Protein-protein interaction network analysis, we identified drug-responsive glycogenes such as Beta-1,4-Galactosyltransferase 1, GDP-Mannose 4,6-Dehydratase, UDP-Glucose Ceramide Glucosyltransferase, and Solute Carrier Family 2 Member 4 as key glycan biomarkers. In the enrichment analysis using the pathway list of glycogenes, the results also demonstrated that drug stimulation resulted in alterations to glycopathway-related genes involved in several processes, namely O-Mannosylation, POMGNT2 Type, Capping, Heparan Sulfate Sulfation, and Glucuronidation pathways. These genes and pathways commonly exhibit variable expression across multiple liver cancer cells in response to the same drug, making them potential targets for new cancer therapies. In addition to their primary roles, drugs may also participate in the regulation of glycans. The insights from this study could pave the way for the development of liver cancer therapies that target the regulation of gene profiles involved in the biosynthesis of glycans.

Although toxicology uses animal models to represent real-world human health scenarios, a critical translational gap between laboratory-based studies and epidemiology remains. In this study, we aimed to understand the toxicoepigenetic effects on DNA methylation after developmental exposure to two common toxicants, the phthalate di(2-ethylhexyl) phthalate (DEHP) and the metal lead (Pb), using a translational paradigm that selected candidate genes from a mouse study and assessed them in four human birth cohorts. Data from mouse offspring developmentally exposed to DEHP, Pb, or control were used to identify genes with sex-specific sites with differential DNA methylation at postnatal day 21. Associations of human infant DNA methylation in homologous mouse genes with prenatal DEHP or Pb were examined with a meta-analysis. Differential methylation was observed on 6 cytosines (adjusted-p < 0.05) and 90 regions (adjusted-p < 0.001). This translational approach offers a unique method that can detect conserved epigenetic differences that are developmentally susceptible to environmental toxicants.

Estrogen receptor (ER) is a molecular marker and target for diagnosing and treating breast cancer (BC). ER-α36, a novel estrogen receptor subtype, involved in the proliferation, differentiation, metastasis, and invasion of tumor cells. It is closely linked to the progression of various cancers. Therefore, studying ER is of high significance in treating BC. In this study, we will investigate the changes in the expression level of ER-α36 in patients with BC treated by chemotherapy through meta-analysis, so as to evaluate the clinical value of ER-α36 in the prognosis of BC treated by chemotherapy. English databases such as PubMed, Web of Science, Embase, and The Cochrane Library were searched to retrieve the articles published from the establishment of the database to April 2023. The keywords included chemotherapy, neoadjuvant chemotherapy, breast cancer, estrogen receptor alpha, and ER-α36. Five suitable studies, encompassing 636 patients, were ultimately selected. The meta-analysis results revealed that, following the chemotherapy, the analysis of ER-α36 positive cases yielded an Odds Ratio (OR) of 0.42, a 95% confidence interval (CI) of 0.28-0.64 (Z = 4.00, P < 0.0001). Additionally, the analysis of cases exhibiting remission in BC demonstrated an OR of 2.22 (95% CI = 1.40-3.50, Z = 3.40, P = 0.0007). Compared to patients receiving single chemotherapy agents or those untreated with chemotherapy, the combined use of multiple chemotherapy drugs can significantly reduce the levels of ER-α36 in BC patients, enhancing the remission rate of BC. ER-α36 can serve as a critical indicator for assessing the prognosis of BC following chemotherapy.

Chilling injury is one of the most significant limitations for low temperature storage of postharvest fruits and vegetables, causing quality deterioration and economic loss. Increasing studies indicated that methyl jasmonate (MeJA) is critical in regulating the postharvest fruit and vegetables chilling tolerance. Based on a meta-analysis, the review analyzed the action of exogenous MeJA application on the chilling index in postharvest fruit and vegetables and summarized MeJA's mechanisms for controlling postharvest chilling injury. The meta-analysis found that MeJA treatment remarkably inhibited postharvest fruit and vegetable chilling injury. Moreover, we concluded the following function mechanism of MeJA on postharvest fruit and vegetable chilling tolerance: (1) Enhancing membrane integrity and energy supply, (2) Increasing antioxidant activity, (3) Enhancing arginine pathway, (4) Enhancing sugar metabolism, (5) Regulating phenolic metabolism, (6) Activating CBF pathway, (7) Regulating HSP accumulation and expression, and (8) Crosstalk with phytohormone. Finally, we summarized the regulatory mechanisms of MeJA on postharvest fruit and vegetable biological processes at the transcriptional and post-translational levels.