Supplementary Material for: Identifying Gene Signature for the Detection of Ovarian Cancer Based on the Achieved Related Genes

<i>Background:</i> The overall survival rate of ovarian cancer patients is still poor because of the difficulties encountered in detection, diagnosis and treatment. Here, we aim to systematically identify the genetic factors causing ovarian cancer and find the accurate diagnostic and therapeutic targets for ovarian cancer. <i>Methods:</i> We collected the known archived ovarian cancer-related genes from the databases used as the investigated targets and employed the minimum redundancy maximum relevance and random forest classification to identify the novel ovarian cancer-related genes in addition to the known ones. We further identified candidates as the markers for the detection of the ovarian cancer based on the gene expression data and then confirmed them by quantitative real-time PCR. <i>Results:</i> We found out the genetic terms to interpret the mechanism of ovarian cancer. Based on those terms, we predicted 860 novel related genes as candidates. These candidates can act as expression biomarkers for clinical detection and they achieved a 100% accuracy. We verified 10 of them as the optimal biomarkers for detection in the expression data. <i>Conclusion:</i> We employed the features of achieved ovarian cancer-related genes to identify 860 novel ovarian cancer genes. We further validated 10 genes as biomarkers for detection of ovarian cancer

Supplementary Material for: Effect of Traditional Chinese Medicine on Psoriasis Vulgaris: A Meta Analysis and Systematic Review

Background: Psoriasis is a chronic, inflammatory autoimmune skin disease that affects 2%–3% of the world’s population. Lesions are mainly found on the limbs, trunk, and scalp, but may also affect other parts of the body, and the cause is not yet known. The chronic and relapsing nature of psoriasis makes it one of the most complex and important diseases in current dermatology research. Methods: The search was conducted using PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Internet, Wanfang Data, VIP journals database, and Chinese biomedical literature database (CBM). The retrieval time limit was from the establishment of the database to January 2021. The quality of the selected literature were evaluated, and ReView Manager 5.3 was used for Meta-analysis after randomized controlled trials were filtered. Results: Finally, 16 randomized controlled trials involving 1967 patients were included. The total effective rate (OR =3.68,95% CI[2.73,4.95], P<0.00001), cure rate (OR =2.01, 95% CI[1.62,2.49]c, P <0.00001), and PASI score (OR =-1.83, 95% CI[-2.39, -1.26], P <0.00001) of the traditional Chinese medicine (TCM) were superior than the Diyin tablet.. Conclusion: In the treatment of psoriasis, traditional Chinese medicine (TCM) shows higher efficacy than the Diyin tablet. However, due to the limitations of the included literature, we still need more double-blind, placebo-controlled trials with large samples and multiple centers to provide high-quality clinical evidence

Supplementary Material for: Component-Resolved Diagnosis of Peanut Allergy and Its Possible Origins of Sensitization in China

<b><i>Background:</i></b> Clinical and immunological characteristics of food allergies vary depending on geographic regions. Little is known about peanut allergy in China. The aim of this study was to investigate the peanut sensitization profile in China. <b><i>Methods:</i></b> Thirty-eight participants with immunoglobulin E (IgE)-positive responses to peanuts (peanut-sensitized) were included in our study, and clinical characteristics were evaluated. Total and specific IgE reactivity against peanuts, other plant-derived foods, pollens, and related allergen components were determined. <b><i>Results:</i></b> Eighteen patients were symptomatic when exposed to peanuts. The majority of them presented with systemic reactions. More than half of the peanut-sensitized subjects also suffered from mugwort pollinosis and peach allergy. In patients with both peanut and peach allergies, reactions to peanuts were the same as or severer than those to peaches. Positivity rates of IgE response to rAra h 1-3, 8, and 9 in the peanut allergy group were 5.6, 11.1, 5.6, 22.2, and 83.3%, respectively. 66.7% (12/18) of the peanut-allergic patients were monosensitized to rAra h 9. Anti-nArt v 3 [mugwort nonspecific lipid transfer protein (nsLTP)] IgE positivity in the peanut allergy group was significantly higher than that in the asymptomatic peanut-sensitized group. In Ara h 9 (peanut nsLTP)-sensitized patients with mugwort pollinosis, anti-nArt v 3 IgE levels were remarkably higher than anti-rAra h 9 (peanut nsLTP) IgE levels as well as anti-Pru p 3 (peach nsLTP) IgE levels. <b><i>Conclusions:</i></b> Ara h 9 was the major allergen of peanut, and Ara h 9 monosensitization was the most common peanut sensitization pattern in our population. Furthermore, there was a strong correlation between peanut sensitization and mugwort pollinosis, as well as peach allergy, in our country