Apigenin Attenuates Hippocampal Microglial Activation and Restores Cognitive Function in Methotrexate-Treated Rats: Targeting the miR-15a/ROCK-1/ERK1/2 Pathway

Microglial activation underpins the methotrexate (MTX)-induced neurotoxicity; however, the precise mechanism remains unclear. This study appraised the potential impact of apigenin (Api), a neuroprotective flavonoid, in MTX-induced neurotoxicity in rats in terms of microglial activation through targeting the miR-15a/Rho-associated protein kinase-1 (ROCK-1)/extracellular signal-regulated kinase 1/2 (ERK1/2) pathway. Male Sprague Dawley rats were randomly divided into 4 groups: Normal control (saline i.p. daily and i.v. on days 8 and 15); Api control (20 mg/kg, p.o.) daily for 30 days; MTX-alone (75 mg/kg, i.v.) on days 8 and 15, then four i.p. injections of leucovorin (LCV): 6 mg/kg after 18 h, then three doses (3 mg/kg) every 8 h post-MTX; and Api co-treated (20 mg/kg/day, p.o.) throughout the model for 30 days, with administration of MTX and LCV as in group 3. MTX administration elevated hippocampal ionized calcium-binding adaptor protein-1 (Iba-1) immunostaining, indicating microglial activation. This was accompanied by neuroinflammation, oxidative stress, and enhanced apoptosis manifested by elevated hippocampal interleukin-1β, malondialdehyde, and caspase-3, and decreased reduced glutathione levels. Concurrently, abated miR-15a expression, overexpression of its target ROCK-1, diminished downstream ERK1/2 and cAMP response element-binding protein (CREB) phosphorylation, and decreased hippocampal brain-derived neurotrophic factor (BDNF) levels were observed. Api mitigated the MTX-induced neurotoxicity by reversing the biochemical, histopathological, and behavioral derangements tested by novel object recognition and Morris water maze tests. Conclusively, Api lessens MTX-induced neuroinflammation, oxidative stress, and apoptosis and boosts cognitive function through inhibiting microglial activation via modulating the miR-15a/ROCK-1/ERK1/2/CREB/BDNF pathway. Graphical abstract showing the effects of methotrexate and apigenin co-treatment in MTX-induced neurotoxicity model. On the left, methotrexate (MTX) administration to rats resulted in hippocampal miR-15a downregulation, which triggered an enhanced expression of its target ROCK-1, consequently inhibiting the downstream ERK1/2/CREB/BDNF pathway, instigating a state of microglial activation, neuroinflammation, oxidative stress, and apoptosis. On the other hand, apigenin (Api) co-treatment restored miR-15a, inhibited ROCK-1 expression, and activated the ERK1/2/CREB/BDNF pathway, leading to diminished hippocampal microglial activation, neuroinflammation, and apoptosis, and restoration of the redox balance, along with improvement in memory and cognitive function of the MTX-treated rats.

Serum microRNAs as predictors for liver fibrosis staging in hepatitis C virus-associated chronic liver disease patients

Accurate staging of liver fibrosis is important for clinical decision making and personalized management. Liver fibrosis is influenced by patients' genomics, including IFNL3 genotype and microRNA expression. However, incorporating microRNAs into fibrosis prediction algorithms has not been investigated. We examined the potential of eight selected serum microRNAs; miR-122, miR-126, miR-129, miR-199a, miR-155, miR-203a, miR-221, and miR-223 as non-invasive biomarkers to stage liver fibrosis in HCV-associated chronic liver disease (HCV-CLD). 145 Egyptian HCV-CLD patients were divided according to Metavir fibrosis scores. MicroRNAs and IFNL3 rs12979860 genotype were assayed by RT-qPCR and allelic discrimination techniques, respectively. Serum miR-122 was downregulated, whereas miR-203a and miR-223 were upregulated in significant fibrosis (≥F2) compared with no/mild fibrosis (F0-F1). Serum miR-126, miR-129, miR-203a, and miR-223 were upregulated in severe fibrosis (≥F3) and cirrhosis (F4) compared with F0-F2 and F0-F3, respectively. miR-221 was upregulated in ≥F3, but unchanged in F4. miR-155, miR-199a, and IFNL3 rs12979860 genotype were not significantly different in all comparisons. Differentially expressed serum microRNAs discriminated ≥F2, ≥F3, and F4 by receiver-operating-characteristic analysis. Multivariate logistic analysis revealed a model combining miR-129, miR-223, AST, and platelet count with high diagnostic accuracy for ≥F3 (AUC=0.91). The model also discriminated F4 (AUC=0.96) and ≥F2 (AUC=0.783), and was superior to APRI and FIB-4 in discriminating ≥F3 and F4, but not ≥F2. In conclusion, combining serum microRNAs with baseline predictors could serve as a new non-invasive algorithm for staging HCV-associated liver fibrosis. Additional studies are required to confirm this model and test its significance in liver fibrosis of other etiologies.