Danli Kong

Guangdong Medical College

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i-10 index

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Yuanlin Ding

Guangdong Medical College

Haibing Yu

Guangdong Medical College

Haibing Yu

Guangdong Medical College

Zhenhua Mai

Guangdong Medical College

Chengkai Xu

Suizhou Central Hospital

Jialu Huang

Hunan Agricultural University

Wei Hu

Fudan University

Liangchang Xiu

Guangdong Medical College

Yuqing He

Guangdong Medical College

Haiyan Pan

Guangdong Medical College

Cooperative Institutions

Guangdong Medical College

110

Sun Yat-sen University

Southern Medical University

Huazhong University of Science and Technology

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Peking University

Wuhan University

Guangzhou Medical University

Shanghai Jiao Tong University

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Associations between dietary inflammatory index and stroke risk: based on NHANES 2005–2018

Scientific Reports (2024)

Ruixian Huang Fengxia Lai Le Zhao Jingjing Zhang Hao Chen

Abstract The dietary inflammatory index (DII) is a measure of the inflammatory potential of the diet and is closely associated with insulin resistance (IR) and stroke. And IR may play an important role in the development of stroke. Therefore, this study aimed to evaluate the relationship between DII and stroke risk while delving into the potential role of IR in this association. We analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, performing weighted univariate analyses, logistic regression, and mediation analyses. At baseline, 3.89% of participants developed stroke, and we observed stroke patients exhibited higher DII scores. After adjusting for covariates, compared to participants in the first quartile of DII scores, those in the third quartile and fourth quartile had increased odds of experiencing a stroke ( OR : 1.78, 95% CI : 1.18–2.68) and ( OR : 1.70, 95% CI : 1.16–2.50), respectively. Moreover, a significant dose–response relationship was observed ( P -trend < 0.05). However, there was no observed interaction between DII and homeostatic model assessment-IR (HOMA-IR) concerning stroke risk, and HOMA-IR did not mediate the association between DII and stroke. In summary, our study elucidated the significant association between DII and stroke risk, independent of IR. This insight suggests that an anti-inflammatory diet may serve as an effective strategy for stroke prevention.

Quartile

Stroke

Univariate analysis

10.1038/s41598-024-57267-9

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Descriptive Study on Health Risk Behaviors of Students in a Medical College

Chinese Journal of School Health (2002)

HU Li-re Danli Kong

Objective To study epidemiological characteristics of health risk behaviors among medical students. Methods A questionnaire survey on health risk behaviors in the last year was conducted among 1 009 students at first-forth grades in a medical college. Results Among the medical students surveyed, health risk behaviors were common, the prevalence of cigarette smoking and alcohol use was 26.26% and 73.34% respectively, 7.14% reported having attempted suicide, 5.85% had experienced sexual intercourse, 3.77% had used prohibitive pills, 43.31% were lack of exercises, 63.63% reported had all-night amusements, 16.35% had joined gambling. Most of the risk behaviors were more common significantly among males than among females, the prevalence increased with grade. Conclusions It is necessary to strengthen health education, more attention should be paid to health risk behaviors of medical students.

Pill

Sexual intercourse

Health behavior

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リスベラトロール誘導サイレンシング情報調節因子1アルツハイマー病記憶能力の改善に関する研究進展【JST・京大機械翻訳】

Zhongguo Quan Ke Yixue (2018)

Xiaoyi He Yu Haibing Yan Yan He Yuqing Yuanlin Ding

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Progress in research of correlation between microRNA-146a and type 2 diabetes mellitus

Int J Genet (2014)

Jie Yang Danli Kong

Type 2 diabetes mellitus is a complex disease involving both genetic and environmental factors.Insulin resistance and pancreatic β-cell dysfunction are the two main pathological conditions for type 2 diabetes mellitus.miRNAs belong to a class of small non-coding RNAs that act through modulating genes and proteins expression at post-transcriptional level.It plays important roles in many physiological and biological processes,such as cell proliferation,development,and apoptosis.A number of studies reported the involvement of miR-146a in diabetes,cardiovascular diseases,autoimmune diseases and cancers; however,its role in the pathogenesis of type 2 diabetes is not clear.In this review,we provide a summary on the latest development of miR-146a on the occurrence of type 2 diabetes mellitus. Key words: microRNA-146 a ; Type 2 diabetes mellitus ; Insulin resistance ; Pancreatic β-cell

Pathogenesis

10.3760/cma.j.issn.1673-4386.2014.05.008

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A systematic study on dysregulated microRNAs in cervical cancer development

International Journal of Cancer (2015)

Yuqing He Juanjuan Lin Yuanlin Ding Guodong Liu Yanhong Luo

MicroRNAs (miRNAs) are short regulatory RNAs that modulate the transcriptome and proteome at the post-transcriptional level. To obtain a better understanding on the role of miRNAs in the progression of cervical cancer, meta-analysis and gene set enrichment analysis were used to analyze published cervical cancer miRNA studies. From 85 published reports, which include 3,922 cases and 2,099 noncancerous control tissue samples, 63 differentially expressed miRNAs (DEmiRNAs) were identified in different stages of cervical cancer development (CIN 1-3 and CC). It was found that some of the dysregulated miRNAs were associated with specific stages of cervical cancer development. To illustrate the impact of miRNAs on the pathogenesis of cervical cancer, a miRNA-mRNA interaction network on selected pathways was built by integrating viral oncoproteins, dysregulated miRNAs and their predicted/validated targets. The results indicated that the deregulated miRNAs at the different stages of cervical cancer were functionally involved in several key cancer related pathways, such as cell cycle, p53 and Wnt signaling pathways. These dysregulated miRNAs could play an important role in cervical cancer development. Some of the stage-specific miRNAs can also be used as biomarkers for cancer classification and monitoring the progression of cancer development.

10.1002/ijc.29618

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Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study

BMJ Open (2023)

Shu Wang Rong Chen Shuang Wang Danli Kong Rudai Cao

To compare the prediction effects of six models based on machine learning theories, which can provide a methodological reference for predicting the risk of type 2 diabetes mellitus (T2DM).This study was based on the monitoring data of chronic disease risk factors in Dongguan residents from 2016 to 2018. The multistage cluster random sampling method was adopted at each monitoring site, and 4157 people were finally selected. In the initial population, we excluded individuals with more than 20% missing data and eventually included 4106 subjects.K nearest neighbour algorithm and synthetic minority oversampling technique were used to process the data. Single factor analysis was used for preliminary selection of variables. The 10-fold cross-validation was used to optimise the parameters of some models. The accuracy, precision, recall and area under receiver operating characteristic curve (AUC) were used to evaluate the prediction effect of models, and Delong test was used to analyse the differences of AUC values of each model.After balancing data, the sample size increased to 8013, of which 4023 are patients with T2DM and 3990 in control group. The comparison results of the six models showed that back propagation neural network model has the best prediction effect with 93.7% accuracy, 94.6% accuracy, 92.8% recall and the AUC value of 0.977, followed by logistic model, support vector machine model, CART decision tree model and C4.5 decision tree model. Deep neural network has the worst prediction performance, with 84.5% accuracy, 86.1% precision, 82.9% recall and the AUC value of 0.845.In this study, six types of risk prediction models for T2DM were constructed, and the predictive effects of these models were compared based on various indicators. The results showed that back propagation neural network based on the selected data set had the best prediction effect.

Cross-validation

Predictive modelling

10.1136/bmjopen-2022-069018

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Association between physical activity and diabetes mellitus: mediation analysis involving Systemic Immune-Inflammatory Index in a cross-sectional NHANES study

BMJ Open (2025)

Yongze Chen Ruixian Huang Zhenhua Mai Zhe Jin Fengxia Lai

Objectives In this study, we aimed to clarify the relationship between physical activity (PA) and diabetes mellitus (DM), as well as the mediating role of Systemic Immune-Inflammatory Index (SII) in the relationship. Design A cross-sectional study. Setting National Health and Nutrition Examination Survey (NHANES) data collection took place in the USA at participants’ homes and mobile examination centres with specialised equipment. Participants The study population consisted of 9493 American adults aged 20 and above from the NHANES 2005 to 2018. Primary and secondary outcome measures Information on the specific PA was reported through self-administered questionnaire by participants and we used this information to calculate a metabolic equivalent score for the particular PA. The calculation of SII follows a standard formula: SII=P (platelets)×N (neutrophils)/L (lymphocytes). Results A total of 9493 participants were included, with 1672 diagnosed with DM. The participants with DM were more inclined to have lower levels of PA while having higher levels of SII. In all three models, high levels of PA were significantly negatively associated with the risk of DM compared with moderate levels of PA, and a non-linear association between natural logarithm-physical activity (Ln-PA) and DM was observed. Furthermore, there was a significant reduction in DM risk for Ln-PA >6.71 in all models. Mediation analysis showed that SII mediated the relationship between PA and DM, as well as between Ln-PA and DM, with respective mediation proportions of 4.32% and 12.141%, as well as 3.12% and 10.46% after adjusting for covariates. Conclusion This study investigated the relationship among PA, SII and DM. We provide robust evidence supporting the inverse association between PA and DM risk while highlighting the mediating role of inflammation, as reflected by SII. These findings contribute valuable insights to inform public health strategies and clinical interventions aimed at reducing the global burden of DM.

Cross-sectional study

10.1136/bmjopen-2023-082996

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Elevated circulating miR-126-3p expression in patients with acute myocardial infarction: its diagnostic value.

PubMed (2017)

Yuan He Jianfeng Zhong Shian Huang Xiaorong Shui Danli Kong

Acute myocardial infarction (AMI) therapy has not remarkably improved due to delay in the diagnosis to a great extent. Circulating microRNAs have shown some potential for diagnosis of cardiovascular diseases. The aim of this study was to estimate the diagnostic value of circulating miR-126-3p for AMI. In our study, circulating miR-126-3p levels were determined by quantitative polymerase chain reaction and the results showed it was 106-fold higher than that in controls, and elevated miR-126-3p was associated with aging through logistic correlation analyses. Receiver-operator characteristic curve was used to evaluate the sensitivity and specificity of miR-126-3p for diagnosis of AMI, indicating that its diagnostic effect was superior to the current clinical markers such as CK, CK-MB, hs-TnI, and MYO. Our results indicate that miR-126-3p in circulation is a potential novel diagnostic biomarker for AMI.

Diagnostic biomarker

Clinical Diagnosis

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Quality of life and its influencing factors among patients at different stages of type 2 diabetes

Zhongguo Gonggong Weisheng (2016)

Pan Hai-yan Yuanlin Ding Danli Kong Wu Meifen Haibing Yu

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Laparoscopic versus opengastric surgery for the treatment of pathological T1N0M0 gastric cancer in elderly patients: a matched study

Scientific Reports (2017)

Haiyan Pan Tao Li Zhigang Huang Haibing Yu Danli Kong

Abstract The aim of this study was to compare the outcomes of laparoscopic surgery (LAP) and open gastric surgery (OP) in early gastric cancer patients aged ≥70 years.We conducted a retrospectively analysis among patientswith pathological T 1 N 0 M 0 gastric cancer,who underwent LAP or OP between January 1, 2001 and December 31, 2008. We identified a well-balanced cohort of 2,360 patients (1180 patients in each group). LAP has been shown to offer a superior perioperative results to OP, including lower blood loss, shorter time to oral intake, walk and bowel function recovery, shorter time of hospital stay, and less blood transfusion required. However, the intraoperative and postoperative complications, local recurrence, and metastasis didn’t show statistically significant differences between groups. The 5-year overall survival (OS), disease-free survival (DFS), and cancer-specific survival (CSS) were 60.1% vs.63.2%, 80.8% vs. 83.3%, and 87.6% vs. 89.5% in the LAP group and OP group, respectively. The hazard ratios (HR) for OS, DFS, and CSS were 1.09(95% confidence interval [CI]: 0.95–1.25; P = 0.215), 1.03(95% CI: 0.91–1.18; P = 0.636), and 1.07 (95% CI: 0.88–1.30; P = 0.484), respectively, compared LAP group with OP group. In conclusion, LAP is an acceptable alternative to OP in elderly patients with early gastric cancer.

10.1038/s41598-017-02182-5

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