Correlation between glomerular filtration rate and insulin resistance index in patients with type 2 diabetes mellitus and chronic kidney disease

Objective: To investigate the changes of insulin resistance index[Homa-IR (CP)] in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) at different stages of glomerular filtration rate (eGFR), and to analyze the relationship between them. Methods: From January 2015 to June 2019, 1013 patients with T2DM and CKD were admitted to Mudanjiang Cardiovascular Disease Hospital Diabetes Branch Hospital (grade three grade a hospital). The general conditions of the patients were collected, and the biochemical indexes were measured by the laboratory department of our hospital. After calculating the HOMA IR (CP) and EGFR values according to the obtained data, the patients were divided into five groups according to the CKD grouping criteria: 0 ~ 15 ml·(min·1. 73m2)-1 for group A, 15 ~ 30 ml·(min·1. 73m2)-1 for group B, 30 ~ 45 ml·(min·1. 73m2)-1 for group C, 45 ~ 60 ml·(min·1. 73m2)-1 for group D and 60 ~ 90 mL·(min·1. 73m2)-1 for group E. The relevant data were statistically analyzed by SPSS software. Results: (1) There was a negative correlation between EGFR and HOMA IR (CP) in T2DM patients with CKD (r = - 0.25, P = 0.000). (2) The comparison results between HOMA IR (CP) groups showed that there was significant difference between group A and group B and other groups, and there was significant difference between group C and group D and other groups (P0.05). (3) The pairwise comparison between fasting blood glucose groups showed that there was significant difference between group A and group B (LSD-t = -1.74, P = 0.034). There was significant difference in insulin dosage between group A and other groups (P0.05), and there was significant difference between group D and group E (LSD-t = 0.06, P = 0.005). (4) Logistic analysis of EGFR showed that age, serum creatinine and HOMA IR (CP) were the main influencing factors of EGFR (P0.05). Conclusion: there is a significant negative correlation between EGFR and HOMA IR (CP) in T2DM patients with CKD. In the process of aggravating insulin resistance, EGFR increased more significantly in the two stages of 45 ~ 60 ml·(min·1. 73m2)-1 and 15 ~ 30 ml·(min·1. 73m2)-1

Association between Non-Suicidal Self-Injuries and Suicide Attempts in Chinese Adolescents and College Students: A Cross-Section Study

This study examined the association between non-suicidal self-injury (NSSI) and suicide attempts among Chinese adolescents and college students.A total sample of 2013 Chinese students were randomly selected from five schools in Wuhan, China, including 1101 boys and 912 girls with the age ranging between 10 and 24 years. NSSI, suicidal ideation, suicide attempts and depressive symptoms were measured by self-rated questionnaires. Self-reported suicide attempts were regressed on suicidal ideation and NSSI, controlling for participants' depressive symptoms, and demographic characteristics.The self-reported prevalence rates of NSSI, suicidal ideation, suicide attempts were 15.5%, 8.8%, and 3.5%, respectively. Logistic regression analyses indicated that NSSI was significantly associated with self-reported suicide attempts. Analyses examining the conditional association of NSSI and suicidal ideation with self-reported suicide attempts revealed that NSSI was significantly associated with greater risk of suicide attempts in those not reporting suicidal ideation than those reporting suicidal ideation in the past year.These findings highlight the importance of NSSI as a potentially independent risk factor for suicide attempts among Chinese/Han adolescents and college students

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophily-prone or heterophily-prone. While graphs with homophily-prone edges tend to connect nodes with the same class (i.e., intra-class nodes), heterophily-prone edges tend to build relationships between nodes with different classes (i.e., inter-class nodes). Existing GNNs only take the original graph during training. The problem with this approach is that it forgets to take into consideration the ``missing-half" structural information, that is, heterophily-prone topology for homophily-prone graphs and homophily-prone topology for heterophily-prone graphs. In our paper, we introduce Graph cOmplementAry Learning, namely GOAL, which consists of two components: graph complementation and complemented graph convolution. The first component finds the missing-half structural information for a given graph to complement it. The complemented graph has two sets of graphs including both homophily- and heterophily-prone topology. In the latter component, to handle complemented graphs, we design a new graph convolution from the perspective of optimisation. The experiment results show that GOAL consistently outperforms all baselines in eight real-world datasets.Comment: Accepted by ICML 202

On the use of an explicit chemical mechanism to dissect peroxy acetyl nitrate formation.

Peroxy acetyl nitrate (PAN) is a key component of photochemical smog and plays an important role in atmospheric chemistry. Though it has been known that PAN is produced via reactions of nitrogen oxides (NOx) with some volatile organic compounds (VOCs), it is difficult to quantify the contributions of individual precursor species. Here we use an explicit photochemical model--Master Chemical Mechanism (MCM) model--to dissect PAN formation and identify principal precursors, by analyzing measurements made in Beijing in summer 2008. PAN production was sensitive to both NOx and VOCs. Isoprene was the predominant VOC precursor at suburb with biogenic impact, whilst anthropogenic hydrocarbons dominated at downtown. PAN production was attributable to a relatively small class of compounds including NOx, xylenes, trimethylbenzenes, trans/cis-2-butenes, toluene, and propene. MCM can advance understanding of PAN photochemistry to a species level, and provide more relevant recommendations for mitigating photochemical pollution in large cities

Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users

Internet addiction (IA) among adolescents is a serious public health problem around the world. However, there have been few studies that examine the association between IA and stressful life events and psychological symptoms among Chinese adolescent internet users. We examined the association between IA and stressful life events and psychological symptoms among a random sample of school students who were internet users (N = 755) in Wuhan, China. Internet addiction, stressful life events, coping style and psychological symptoms were measured by self-rated scales. The prevalence rate of internet addiction was 6.0% among adolescent internet users. Logistic regression analyses indicated that stressors from interpersonal problem and school related problem and anxiety symptoms were significantly associated with IA after controlling for demographic characteristics. Analyses examining the coping style with the IA revealed that negative coping style may mediate the effects of stressful life events to increase the risk of IA. However, no significant interaction of stressful life events and psychological symptoms was found. These findings of the current study indicate a high prevalence of internet addiction among Chinese adolescent internet users and highlight the importance of stressors from interpersonal problem and school related problem as a risk factor for IA which mainly mediated through negative coping style.Published versio

Aggression and related stressful life events among Chinese adolescents living in rural areas: A cross-sectional study

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Biological control agents colonize litchi fruit during storage and stimulate physiological responses to delay pericarp browning

IntroductionLitchi is an economically important fruit in subtropical countries, but pericarp browning can limit its shelf life outside of controlled storage conditions. Effective and sustainable biological control strategies are needed to protect fruit against postharvest browning.Results and DiscussionIn this study, we show that the four bacterial strains Bacillus licheniformis HS10, B. amyloliquefaciens LI24 and PP19, and Exiguobacterium acetylicum SI17 can delay fruit browning in both laboratory trials (LTs) and field plus laboratory trials (FLTs). Strains HS10, LI24, PP19 and SI17 showed 47.74%, 35.39%, 33.58% and 32.53% browning-inhibitory efficacy respectively at 180 h in LT. Litchi sarcocarp interior sourced isolate SI17 showed 74.05% inhibit-brown efficacy at 216 h in FLTs, performing better in FLT than in LT. Furthermore, strains PP19 and SI17 colonized the fruit pericarp and increased total phenolic and anthocyanin contents but decreased peroxidase and polyphenol oxidase activity. This is the first report of E. acetylicum (SI17) and B. licheniformis (HS10) strains acting as biological control agents (BCAs) to delay postharvest browning in litchi fruit. We conclude that PP19 and SI17 are promising BCAs against fruit browning, and their application could be effective for prolonging the shelf life of harvested litchi fruit