Computational and Mathematical Methods in Medicine

Metastasis and recurrence are major causes of colorectal cancer (CRC) death, but their molecular mechanisms are unclear. In this study, genes associated with CRC metastasis and recurrence were identified by weighted gene coexpression network analysis, selecting the top 25% most variant genes in the dataset GSE33113. By average linkage hierarchical clustering, a total of 21 modules were generated. One key module was identified as the most relevant to the prognosis of CRC. Gene Ontology analysis indicated that genes associated with tumor metastasis and recurrence in this module were significantly enriched in inflammatory biological functions. Functional analysis was performed on the key module, and candidate hub genes (ADAM8, LYN, and S100A9) were screened out by expression and survival analysis. In summary, the three core genes identified in this study could greatly improve our understanding of CRC metastasis and recurrence. The results also provide a theoretical basis for the use of three core genes (ADAM8, LYN, and S100A9) as a combined marker for early diagnosis, which could benefit CRC patients.

Due to the increasing prosperity of human life science and technology, many huge research results have been obtained, and the scientific research of molecular biology is developing rapidly. Therefore, the output of biological genome data has increased exponentially, which constitutes a huge amount of data analysis. The seemingly chaotic and massive amount of data information actually contains a large amount of data and information of great key scientific significance and value. Therefore, this kind of genomic data information not only contains the information content that describes the characteristics of human life but also contains the information content that can express the essence of the biological organism. It includes macroeconomic information that can reflect the basic structure and capabilities of living organisms and microinformation in related fields of molecular biology. This massive amount of genetic data is usually closely related to each other, can influence each other, and does not exist alone. In the article, the causes of uncertain data and the classification of uncertain data are introduced, and the basic concepts and related algorithms of data mining are explained. Focusing on the research and analysis of abnormal point detection and clustering algorithms in uncertain data mining technology, this paper solves the problem of how to obtain more diverse and accurate outlier detection and cluster analysis results in uncertain data. The results showed that whether it was related to obesity or not, the Lp(a) level of the sarcopenia group was significantly higher than that of the nonsarcopenia group. At the same time, the correlation analysis showed that ASM/height was negatively correlated with Lp(a). ASM/height is one of the criteria for diagnosing sarcoidosis, and it is also the core of the analysis. Among the 1956 tumor patients collected in this study, 432 had sarcopenia, accounting for 22.08%, and the incidence of sarcopenia in patients with gastrointestinal tumors increased.

The effect of skin-to-skin contact (SSC) on postpartum depression and physical rehabilitation of cesarean section women was explored. 280 parturients undergoing cesarean section were selected and were rolled into two groups randomly. The parturients in the control group (Con group, 140 cases) received routine care, and those in the experimental group (Exp group, 140 cases) received SSC on the basis of routine care. The postpartum depression and physical recovery of parturients in two groups were compared. It was found that, in the Exp group, the number of pregnant women with no or with very mild depression was much more 85% vs. 55%), the number of women with adequate lactation was more (53 cases vs. 27 cases), the first lactation time (FLT) was dramatically shorter ( vs. ), the breastfeeding success rate (BFSR) and breastfeeding rate (BFR) were obvious higher, the days for uterine involution was much shorter ( days vs. days), the descent of uterine fundus 24 hours after delivery (24 h-DUF) was obviously larger ( mm vs.  mm), the duration of lochia (DOL) was remarkably shorter ( days vs. days), and the Visual Analogue Scale (VAS) score was lower ( points vs. points), showing statistical differences for all above indicators (). It suggested that SSC could effectively relieve the postpartum depression of uterine parturients, promote the lactation, increase the BFR, facilitate uterine involution, and alleviate chronic uterine inflammation and postpartum pain, showing high clinical application and promotion value.

As an effective tool for colorectal lesion detection, it is still difficult to avoid the phenomenon of missed and false detection when using white-light endoscopy. In order to improve the lesion detection rate of colorectal cancer patients, this paper proposes a real-time lesion diagnosis model (YOLOv5x-CG) based on YOLOv5 improvement. In this diagnostic model, colorectal lesions were subdivided into three categories: micropolyps, adenomas, and cancer. In the course of convolutional network training, Mosaic data enhancement strategy was used to improve the detection rate of small target polyps. At the same time, coordinate attention (CA) mechanism was introduced to take into account channel and location information in the network, so as to realize the effective extraction of three kinds of pathological features. The Ghost module was also used to generate more feature maps through linear processing, which reduces the stress of learning model parameters and speeds up detection. The experimental results show that the lesion diagnosis model proposed in this paper has a more rapid and accurate lesion detection ability, and the AP value of polyps, adenomas, and cancer is 0.923, 0.955, and 0.87, and mAP@50 is 0.916.

Background. Chinese medicinal properties (CMP) are an important part of the basic theory of traditional Chinese medicines (TCMs). Quantitative research on the properties of TCMs is of great significance to deepen the understanding and application of the theory of drug properties and promoting the modernization of TCMs. However, these studies are limited to strong subjectivity or distinguish different drug properties based on certain indicators since CMP studies are diverse. Objective. To realize quantitative comparison of same medicinal properties of different Chinese medicines. Method. To solve the above problem, we proposed and explored quantification of Chinese medicinal properties (QMP) and the quantification value of medicinal properties “”. The correlation between primary metabolites and “cold-hot” medicinal properties was explored on the premise of material basis of Chinese herbal medicines and Fisher’s analysis. Based on indicators related to “cold-hot” medicinal properties, we utilized quantitative values “” to characterize the strength or weakness of “cold-hot” medicinal properties. Results. According to QMP, the same medicinal properties were quantified and compared by quantification value of medicinal properties that expressed by alphabet “”. The general theoretical formula of “” deduced is , in which . In the light of formula of “” and indicators related to “cold-hot” medicinal properties, we got “” value of “cold-cool” and “warm-hot” medicinal properties. “” values of “cold-cool” medicinal properties of Phellodendri chinensis cortex, Coptidis rhizoma, and Menthae haplocalycis herba were 0.63, 1.00, and 0.49, respectively. The result showed that Coptidis rhizoma is the most “cold-cool”, followed by Phellodendri chinensis cortex, with Menthae haplocalycis herba is the weakest in the three Chinese medicines, consistent with cognition of TCM theory. Conclusion. QMP has certain guiding significance for the quantification of “cold and hot” drug properties. “” is feasible to realize the quantitative comparison of the same drug properties of different traditional Chinese medicine, which is helpful to promote process of modern Chinese medicine construction.

Objective. The purpose of this study was to study the effects of the GAS5/microRNA-10b (miR-10b) axis on proliferation, migration, and apoptosis of colorectal cancer (CRC). Methods. The expression levels of GAS5 and miR-10b in CRC tissues and cells were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Wound healing experiment was used to detect the effects of GAS5 and miR-10b on the migration of CRC cells. The luciferase reporter gene experiment was used to verify miRNA targets. Immunohistochemical assay was used to detect the expression of proteins related to metastasis and apoptosis in tumor tissues. Results. The expression of GAS5 was downregulated in CRC tissues and cell lines. The overexpression of GAS5 can inhibit cell proliferation and progression, induce apoptosis in vitro, and inhibit the growth of CRC tumor in vivo. In contrast, the expression of miR-10b, a downstream target of GAS5, was increased in CRC tissues and cells. Suppression of the miR-10b gene can inhibit proliferation and metastasis and cause apoptosis of CRC cells. In addition, luciferase reports show that GAS5 inhibits the progression of CRC cells by binding to miR-10b. Rescue experiments showed that overexpressed miR-10b could reverse GAS5-mediated antitumor effect on CRC cells in vivo and in vitro. Conclusions. LncRNA GAS5 interacts with miR-10b to inhibit cell proliferation and migration and induces apoptosis in colorectal cancer. GAS5 and miR-10b could become potential therapeutic targets for CRC.