TNF-α-1031T/C gene polymorphism as a predictor of malnutrition in patients with gastric cancer

IntroductionMalnutrition is a complex clinical syndrome, the exact mechanism of which is yet not fully understood. Studies have found that malnutrition is associated with anorexia and inadequate intake, tumor depletion, leptin, tumor-induced metabolic abnormalities in the body, and catabolic factors produced by the tumor in the circulation and cytokines produced by the host immune system. Among these, single nucleotide polymorphisms (SNPs) are present in the gene encoding the pro-inflammatory cytokine TNF-α.AimThe objective of this study was to investigate TNF-α -1,031 T/C gene polymorphism as an unfavorable predictor of malnutrition in patients with gastric cancer.MethodsThe study group consisted of 220 gastric cancer patients treated at Affiliated Jinhua Hospital, Zhejiang University School of Medicine. Malnutrition was mainly assessed by the Global Consensus on Malnutrition Diagnostic Criteria (GLIM). DNA was extracted from peripheral leukocytes of whole blood samples using an animal DNA extraction kit. DNA was amplified using a 1.1× T3 Super PCR mixture and genotyped using SNP1 software.ResultsThere are three major genetic polymorphisms in TNF-α. Among the 220 patients with gastric cancer, there were 7 patients with the CC genotype, 61 with the CT genotype and 152 with the TT genotype. Compared to patients with the TT genotype, patients with the C allele had an approximately 2.5-fold higher risk of developing malnutrition (p = 0.003; OR = 0.406). On the basis of multivariate analysis, patients with the CC genotype had an approximately 20.1-fold higher risk of developing malnutrition (p = 0.013; OR = 20.114), while those with the CT genotype had an almost 3.7-fold higher risk of malnutrition (p = 0.002; OR = 3.218).ConclusionSNP (−1,031 T/C) of the TNF-α may be a useful marker in the assessment of the risk of nutritional deficiencies in gastric cancer patients. Patients with gastric cancer carrying the C allele should be supported by early nutritional intervention, but more research is still needed to explore confirmation

Serum Small Proline-Rich Protein 2A (SPRR2A) Is a Noninvasive Biomarker in Gastric Cancer

Objective. Since early diagnosis is very important for treating gastric cancer (GC), we aimed to detect serum small proline-rich protein2A (SPRR2A) to verify its diagnostic value for GC patients. Methods. Serum samples were collected from 200 patients with GC, 100 patients with gastritis, 40 patients with rectal cancer (RC), 50 patients with colon cancer (CC), and 100 healthy controls. An enzyme-linked immunosorbent assay (ELISA) detection kit was applied to measure serum SPRR2A concentration. The correlations between serum SPRR2A and carcinoembryonic antigen (CEA), clinical pathological parameters of GC, and receiver operating characteristic (ROC) curve were also analyzed. Results. The median serum SPRR2A concentration in GC patients was significantly higher than those in healthy controls and gastritis or colorectal cancer patients (P<0.001). Serum SPRR2A concentration at a cut-off value of 80.7 pg/ml yielded an AUC of 0.851, with 75.7% sensitivity and 74.5% specificity for discriminating GC patients from healthy people. The AUC for the serum SPRR2A concentration combined with the CEA concentration was 0.876, with 79.7% sensitivity and 78.7% specificity. Similarly, serum SPRR2A discriminated GC patients from gastritis patients with an AUC of 0.820, with 90.5% sensitivity and 61.7% specificity. The AUC for the serum SPRR2A concentration combined with the CEA concentration was 0.848, with 87.8% sensitivity and 68.1% specificity. The serum SPRR2A levels in GC patients were associated with lymph node metastasis and the tumor-node-metastasis (TNM) stage (P<0.05). There was an obvious difference in serum SPRR2A expression between GC patients before and after surgery (P<0.0001). Conclusion. These results suggest that serum SPRR2A can be used as an effective marker for GC

Evaluation of the blasting effects of insitu two-to-four lane expansion in the municipal tunnels based on EAHP model

To accurately evaluate the blasting effect of tunnel demolition, guarantee the normal traffic of vehicles during the blasting for insitu two-to-four lane expansion in the municipal tunnels, and reduce the risk of blasting demolition as well as expansion of existing tunnel linings, a comprehensive evaluation model of the tunnel blasting effect based on EAHP was established with the matter-element theory. First, 29 evaluation factors were selected from 5 aspects: blasting scheme design, surroundings of blasting area, blasting quality, blasting materials, blasting safety technology, and 5 evaluation grades were demarcated. Second, the primary correlation function established with extension transformation was adopted to calculate the correlation degree of influencing factors of blasting effects to the evaluation grade, an analytic hierarchy process (AHP) method was introduced to determine the index weight, and the blasting effect grade was determined according to the principle of maximum correlation degree. Therefore, an integrated evaluation method based on Extenics-AHP, namely, EAHP, was established. The results showed that this method was applied to the blasting effect evaluation of the insitu two-to-four lane expansion project in Loushan Tunnel in Zhejiang Province, and the blasting effect evaluation result was Kmax=K2=-0.030 9, namely, the blasting effect evaluation level of the insitu two-to-four lane expansion in the tunnel was "good blasting effect", which was consistent with the actual condition of the project. Therefore, the evaluation indexes and weight coefficients selected based on EAHP model were reasonable and reliable, and the maximum correlation degree obtained by extension transformation could also better reflect the grade of the tunnel blasting effect, indicating this evaluation method had better adaptability to tunnel blasting effect evaluation

System Pharmacology-Based Strategy to Decode the Synergistic Mechanism of GanDouLing for Wilson’s Disease

Ethnopharmacological Relevance. GanDouLing (GDL) is a Chinese medicinal herb produced by the preparation center of Anhui Hospital of TCM for preventing and treating Wilson’s disease (WD), an ATP7B mutation-inherited disease that affects copper transport and is characterized by liver and nervous system manifestations with variable and often unpredictable manifestations. However, the “multicomponent” and “multitarget” characteristics of TCM make it challenging to clarify the potential therapeutic mechanisms of GDL for WD. Aim of the Study. This study aimed at the systematic encoding of WD potential target for GDL and experimental verification for the relevant core targets, providing a deeper insight into the understanding of the mechanisms of GDL protection underlying WD with liver injury. Material and Methods. Following the strategy of the network pharmacology, we, firstly, predicted the active components of GDL and putative targets for WD. By employing clusterProfiler, the enrichment of functional and pathway terms was analyzed. Further, the protein-protein-interaction network was analyzed by STRING. Lastly, after establishing the toxic-milk mouse (TX) model with GDL treating, Hematoxylin and Eosin stain (HE) and western blotting (WB) for apoptosis biomarker were experimented. Results. Firstly, 324 active compounds have been identified in the GDL formula. Meanwhile, we identified 1496 human genes which are related to WD or liver cirrhosis. Functional and pathway enrichment analysis indicated that NOD-like receptor signaling pathway, bile secretion, calcium signaling pathway, steroid hormone biosynthesis, T cell receptor signaling pathway, apoptosis, MAPK signaling pathway, and so forth can be obviously regulated by GDL. Further, in a mouse model of WD, in vivo experiments showed that GDL treatment can not only reduce the pathological symptoms of the liver but also reduce the apoptosis of hepatocytes. Conclusions. In this study, systemic pharmacological methods were proposed and the mechanism of GDL combined therapy for WD was explored. This method can be used as a reference for the study of other mechanisms of traditional Chinese medicine

MOF-Derived Urchin-like Co₉S₈-Ni₃S₂ Composites on Ni Foam as Efficient Self-Supported Electrocatalysts for Oxygen Evolution Reaction

Effective and inexpensive electrocatalysts are significant to improve the performance of oxygen evolution reaction. Facing the bottleneck of slow kinetics of oxygen evolution reaction, it is highly desirable to design the electrocatalyst with high activity, good conductivity, and satisfactory stability. In this work, nickel foam supported hierarchical Co9S8–Ni3S2 composite hollow microspheres were derived from in situ-generative MOF precursors and the subsequent sulfurization process by a simple two-step solvothermal method. The composite microspheres were directly grown on nickel foam without any binder, and nickel foam was used as the nickel source and support material. The morphology and constitution of the series self-supported electrodes were characterized by SEM, TEM, XRD, XPS, and Raman, respectively. The unique porous architecture enriched the electrode with sufficient active surface and helped to reactants and bubble evolved during electrochemical water oxidation. Through tuning the concentration of cobalt source and ligand, the content ratio of Co9S8 and Ni3S2 can be modulated. The heterostructures not only afford active interfaces between the phases but also allow electronic transfer between Co9S8 and Ni3S2. The optimized Co9S8-Ni3S2/NF-0.6 electrode with the highest electrochemical surface area and conductivity shows the best OER performance among the series electrodes in 1 M KOH solution. The overpotential of Co9S8-Ni3S2/NF-0.6 is only 233 mV when the current density is 10 mA cm−2, and corresponding Tafel slope is 116.75 mV dec−1. In addition, the current density of Co9S8-Ni3S2/NF-0.6 electrocatalyst hardly decreased during the 12 h stability measurement. Our approach in this work may provide the future rational design and synthesis of satisfactory OER electrocatalysts

TG/HDL‐c ratio as a predictor of progressive infarction in patients with anterior circulation single subcortical infarction

Abstract Background The contributors predicting progressive infarction (PI) in patients with anterior circulation single subcortical infarction (ACSSI) and pontine single infarction (PSI) may be unidentical. The role of triglyceride to high‐density lipoprotein cholesterol (TG/HDL‐c) ratio on PI is unclear. The purpose of our study is to evaluate the correlation between TG/HDL‐c ratio and PI in patients with ACSSI or PSI. Methods Between January 2020 and October 2022, we retrospectively enrolled 738 patients including 638 ACSSI patients and 100 PSI patients to analyze. Demographic characteristics, clinical information, and laboratory data were collected within 24 h of admission. Results PI occurred in 143 (19.4%) patients. In univariate analysis, patients with PI had higher initial National Institutes of Health Stroke Scale (NIHSS) scores, higher discharge NIHSS scores, higher levels of fasting glucose, total cholesterol, TG, low‐density lipoprotein cholesterol, and TG/HDL‐c ratio, but lower levels of creatinine compared to patients with non‐PI (p < .05). Furthermore, the results of the subgroup analyses revealed the independent association between TG/HDL‐c ratio and PI in ACSSI patients (OR 1.079, 95% CI 1.009–1.153, p = .026) rather than in PSI patients. Additionally, a receiver operating characteristic curve indicated that the optimal predictive cutoff value of the TG/HDL‐c ratio was 3.985, and a TG/HDL‐c ratio ≥3.985 was more likely to experience PI in ACSSI patients. Conclusion In conclusion, the TG/HDL‐c ratio was independently associated with PI in patients with ACSSI