Effects of 9 oral care solutions on the prevention of oral mucositis: a network meta-analysis of randomized controlled trials.

BACKGROUND: Oral mucositis (OM) is a common, disabling, and severe early effect of chemotherapy and radiotherapy that limits the effectiveness of anticancer therapy. The prevention and treatment of OM in patients with malignant tumors is an urgent problem in the field of anticancer therapy. METHODS: Databases including PubMed, Embase, Scopus, The Cochrane Library, and Google Scholar were searched to collect published randomized control trials (RCTs) about the effects of different oral care solutions on the prevention of OM from inception to January 2019. We used the Cochrane Handbook to assess the methodological quality of the RCTs. Two of the authors independently extracted the articles and predefined data. Network meta-analysis was then performed using Stata 15.0 software. RESULTS: A total of 28 RCTs involving 1861 patients were included. The results of network meta-analysis showed that chlorhexidine, benzydamine, honey, and curcumin were more effective than placebo (P < .05) and that honey and curcumin were more effective than povidone-iodine (P < .05). Probability ranking according to the Surface Under the Cumulative Ranking curve showed the following treatments: curcumin, honey, benzydamine, chlorhexidine, allopurinol, sucralfate, granulocyte-macrophage colony-stimulating factor, povidone-iodine, and aloe. CONCLUSION: Our preliminary results indicate that curcumin and honey may serve as the preferred options for patients to prevent OM. The findings may offer an important theoretical basis for clinical prevention and treatment. However, this conclusion still requires an RCT with a larger sample size for further verification.

Transcriptome sequencing of the apricot (Prunus armeniaca L.) and identification of differentially expressed genes involved in drought stress.

Apricot (Prunus armeniaca L.) is an important fruit crop that is widely planted throughout the world. But drought affects both yield and quality of apricot. In order to study the effects of long-term drought on the molecular and physiological mechanisms of apricot, we used transcriptome sequencing and measured physiological indices. First, 322 million high-quality clean reads were obtained, and 74,892 unigenes were generated for the transcriptome. Among the assembled unigenes, 18,671 simple sequence repeats (SSRs) and 5581 differentially expressed genes (DEGs) were identified. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the DEGs revealed that starch and sucrose metabolism, plant-pathogen interaction and plant hormone signal transduction pathways are enriched. Additionally, we used quantitative real-time PCR (qRT-PCR) to confirm the RNA-seq results with 11 drought-related DEGs. Second, through the physiological analysis of apricot leaves under constant drought stress, and the results show the internal microstructure of apricot leaves changed to withstand drought stress. At the same time, plants exposed to long-term drought stress showed higher degree of membrane damage, which reduced photosynthesis in the damaged leaves. Our findings enrich the genome resources for apricot and refine our understanding of the molecular and physiological mechanisms of drought response in this fruit crop, providing insights into drought adaptation of the apricot.