Article
Medicine, General & Internal
Vasilios Karageorgiou, Francesco Casanova, Jessica OLoughlin, Harry Green, Trevelyan J. McKinley, Jack Bowden, Jessica Tyrrell
Summary: This study investigates the impact of inflammation and body mass index (BMI) on depression and treatment-resistant depression using genetic information and Mendelian randomisation (MR). The results show a positive association between BMI and depression, particularly in females and younger individuals. BMI has an independent causal effect on treatment-resistant depression, not through inflammation. Understanding the relationship between BMI and depression can help improve clinical treatment.
Article
Oncology
Xiaomeng Zhang, Evropi Theodoratou, Xue Li, Susan M. Farrington, Philip J. Law, Peter Broderick, Marion Walker, Yann C. Klimentidis, Jessica M. B. Rees, Richard S. Houlston, Ian P. M. Tomlinson, Stephen Burgess, Harry Campbell, Malcolm G. Dunlop, Maria Timofeeva
Summary: Genetically represented measures of moderate-to-vigorous physical activity and acceleration vector magnitude physical activity are associated with decreased colorectal cancer risk, with effects distinct from those mediated through genetic measures of obesity, indicating the positive impact of promoting physical activity on colorectal cancer prevention.
BRITISH JOURNAL OF CANCER
(2021)
Article
Endocrinology & Metabolism
Peihao Jin, Yonggang Xing, Bin Xiao, Yi Wei, Kai Yan, Jingwei Zhao, Wei Tian
Summary: This study used a Mendelian randomization analysis to investigate the causal relationship between type 2 diabetes mellitus (T2DM) and intervertebral disc degeneration (IVDD). The results showed that individuals with T2DM had a higher risk of developing IVDD, and this relationship persisted even after adjusting for body mass index (BMI).
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Obstetrics & Gynecology
Maddalena Ardissino, Miranda Geddes-Barton, Anita Banerjee
Summary: Observational studies have shown that obesity is associated with adverse pregnancy outcomes, but these results may be affected by confounding factors. Mendelian randomisation (MR) uses genetic randomisation to assess the association between risk of exposure and allele assortment. A two-sample MR study found that higher genetically predicted BMI is associated with increased risks of pre-eclampsia, gestational diabetes, and polyhydramnios.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
(2023)
Article
Multidisciplinary Sciences
Georgios K. Vasileiadis, Sergi Sayols, Sizheng Steven Zhao, Tahzeeb Fatima, Cristina Maglio
Summary: In this study, the researchers used Mendelian randomisation (MR) analysis to investigate the causal relationship between adiponectin, leptin, and resistin levels and the risk of developing rheumatoid arthritis (RA) in both European and East Asian populations. The results showed no evidence of a direct causal effect between these adipokines and RA risk.
Article
Endocrinology & Metabolism
Guoyi Yang, C. Mary Schooling
Summary: Mendelian randomization analysis showed that commonly used lipid modifiers, such as statins and ezetimibe, may increase the risk of type 2 diabetes, with a significant mediation effect by higher BMI. However, no significant associations were found between PCSK9 inhibitors and type 2 diabetes risk or BMI.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Endocrinology & Metabolism
Jiao Fang, Jingyi Yuan, Dandan Zhang, Wanxu Liu, Puyu Su, Yuhui Wan, Zhihua Zhang, Fangbiao Tao, Ying Sun
Summary: This study investigates the causal association and shape between prepuberty BMI and early puberty onset. It found that prepuberty BMI is positively associated with early thelarche among girls, but with an inverted U-shaped relationship. Boys with BMI between P-25 and P-50 have an increased risk of early puberty.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Endocrinology & Metabolism
Li-Zhen Liao, Zhi-Chong Chen, Wei-Dong Li, Xiao-Dong Zhuang, Xin-Xue Liao
Summary: The study found that lower education levels were associated with an increased risk of type 2 diabetes, and body mass index may serve as a potential mediator between them.
WORLD JOURNAL OF DIABETES
(2021)
Article
Genetics & Heredity
Ana Luiza Arruda, April Hartley, Georgia Katsoula, George Davey Smith, Andrew P. Morris, Eleftheria Zeggini
Summary: Multimorbidity is a growing public health challenge and understanding its genetic basis is crucial. This study focuses on the comorbidity between type 2 diabetes and osteoarthritis and identifies genetic correlation and association-signal colocalization between the two diseases. The integration of multi-omics and functional information reveals high-confidence effector genes and enrichment for lipid metabolism and skeletal formation pathways. Causal inference analysis shows complex effects of tissue-specific gene expression on comorbidity outcomes, providing insights into the biological basis of the disease co-occurrence.
AMERICAN JOURNAL OF HUMAN GENETICS
(2023)
Article
Biochemistry & Molecular Biology
Jessica Ares Blanco, Carmen Lambert, Manuel Fernandez-Sanjurjo, Paula Morales-Sanchez, Pedro Pujante, Paola Pinto-Hernandez, Eduardo Iglesias-Gutierrez, Edelmiro Menendez Torre, Elias Delgado
Summary: The aim of this study was to investigate the glucose tolerance status after 15 years of pregnancy in women diagnosed with gestational diabetes mellitus (GDM) and to assess the long-term effect of GDM on circulating miRNA profile. The study included 30 randomly selected women diagnosed with GDM during 2005-2006, and glucose tolerance was measured using the National Diabetes Data Group criteria. Four miRNAs were analyzed in the plasma of women 15 years after the diagnosis of GDM. The study found that 50% of women had some degree of glucose intolerance 15 years after the diagnosis of GDM, which was directly related to body weight and body mass index during pregnancy. Dysglycemic women also showed significantly increased levels of circulating hsa-miR-24-3p. Thus, initial weight and BMI, along with circulating expression levels of hsa-miR-24-3p, could be good predictors of the future development of dysglycemia in women with a previous diagnosis of GDM.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Cardiac & Cardiovascular Systems
Jung-Chi Hsu, Yen-Yun Yang, Shu-Lin Chuang, Yi-Wei Chung, Chih-Hsien Wang, Lian-Yu Lin
Summary: The study revealed that underweight status is associated with the highest risk of AF in Asian patients with T2DM, while overweight status is linked to reduced AF risk. The relationship between BMI and AF risk was found to be J-shaped or L-shaped.
CARDIOVASCULAR DIABETOLOGY
(2021)
Article
Genetics & Heredity
Jiarui Mi, Zhengye Liu
Summary: Previous studies have shown that obesity and type 2 diabetes are associated with an increased risk of carpal tunnel syndrome, with these risk factors being independent of each other.
FRONTIERS IN GENETICS
(2021)
Article
Endocrinology & Metabolism
Ryusei Ohno, Hidehiro Kaneko, Kensuke Ueno, Hiroyuki Aoki, Akira Okada, Kentaro Kamiya, Yuta Suzuki, Satoshi Matsuoka, Katsuhito Fujiu, Norifumi Takeda, Taisuke Jo, Junya Ako, Hiroyuki Morita, Koichi Node, Hideo Yasunaga, Issei Komuro
Summary: This retrospective observational cohort study found that the risk of developing diabetes mellitus significantly increased when BMI exceeded approximately 20 to 21 kg/m(2). Participants with an increase in BMI of 5.0% or more had a relative risk of 1.33 for developing diabetes, while those with a decrease in BMI of 5.0% or more had a relative risk of 0.82. Furthermore, individuals classified as normal weight, overweight, and obese reduced their risk of developing diabetes when they reduced their BMI, while underweight individuals had an increased risk.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2023)
Article
Genetics & Heredity
Jiawei Zhou, Jianfeng Lin, Yuehong Zheng
Summary: This study found a positive causal relationship between hypertension, BMI, WHR, and WHRadjBMI with aortic aneurysm using Mendelian randomization analysis.
FRONTIERS IN GENETICS
(2022)
Article
Endocrinology & Metabolism
Xinpei Wang, Jinzhu Jia, Tao Huang
Summary: This study explored the association between coffee intake and the risk of type 2 diabetes mellitus (T2DM) from a genetic perspective. The findings showed that ground coffee intake has a significant negative genetic and genetically predicated causal relationship with the risk of T2DM, which may be mediated by immunity.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Genetics & Heredity
Zijun Zhu, Xudong Han, Liang Cheng
Summary: This study integrates genetic mutation information and expression data to obtain a predictive signature for T2DM, which shows excellent performance and robustness.
CURRENT GENE THERAPY
(2022)
Review
Biochemistry & Molecular Biology
Haixiu Yang, Changlu Qi, Boyan Li, Liang Cheng
Summary: Recent studies have revealed the significant role of non-coding RNAs in regulating drug resistance in tumor cells. Understanding the relationship between ncRNAs and drug resistance can provide valuable insights into the mechanisms and biomarkers of chemoresistance, as well as facilitate personalized anticancer treatment regimens.
CURRENT MEDICINAL CHEMISTRY
(2022)
Article
Immunology
Yue Hao, Wei Zhao, Lulu Chang, Xingfan Chen, Chonghui Liu, Yang Liu, Lixuan Hou, Yinchun Su, Hao Xu, Yu Guo, Qixu Sun, Lili Mu, Jinghua Wang, Hulun Li, Junwei Han, Qingfei Kong
Summary: The study reveals the complex role of miR-146a in myasthenia gravis (MG) and suggests that targeting miR-146a for treatment should be approached with caution.
IMMUNOLOGY LETTERS
(2022)
Article
Biochemistry & Molecular Biology
Changlu Qi, Yiting Cai, Kai Qian, Xuefeng Li, Jialiang Ren, Ping Wang, Tongze Fu, Tianyi Zhao, Liang Cheng, Lei Shi, Xue Zhang
Summary: The gut microbiota plays a crucial role in maintaining health, and disruptions can lead to disorders. The gutMDisorder database provides a valuable resource for studying dysbiosis, and the latest version offers expanded data and improved features.
NUCLEIC ACIDS RESEARCH
(2023)
Article
Genetics & Heredity
Ji Li, Jiayue Qiu, Junwei Han, Xiangmei Li, Ying Jiang
Summary: This study found a significant association between tumor microenvironment (TME) infiltration and survival rates and treatment outcomes in breast cancer patients. By developing a nine-pathway-based TME-related risk model to predict the prognosis of breast cancer patients, it was discovered that patients in the IPRS-low group had significantly better overall survival rates compared to the IPRS-high group. Furthermore, IPRS-low patients exhibited a strong immune response and were enriched in multiple immune-associated signaling pathways.
Letter
Gastroenterology & Hepatology
Zijun Zhu, Xinyu Chen, Chao Wang, Sainan Zhang, Liang Cheng
Article
Medicine, Research & Experimental
Jiayue Qiu, Xiangmei Li, Yalan He, Qian Wang, Ji Li, Jiashuo Wu, Ying Jiang, Junwei Han
Summary: This study aimed to identify biomarkers for predicting the efficacy of immune checkpoint blockade therapy. The researchers found that the comutation of the Spliceosome pathway and Hedgehog signaling pathway, in combination with PD-L1 expression, could effectively predict the therapeutic benefit of immunotherapy.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Article
Genetics & Heredity
Ji Li, Jiashuo Wu, Junwei Han
Summary: Through extensive analysis of the multi-omics dataset of breast cancer from the METABRIC cohort, we found that different breast cancer subtypes exhibit different tumor microenvironment heterogeneity. Basal-like and HER2-enriched subtypes are associated with high immune scores, expression of most immune regulatory targets, and immune cell infiltration, suggesting that these subtypes could be defined as immune hot tumors and suitable for immune checkpoint blockade therapy. In contrast, Luminal A and Luminal B subtypes are associated with low immune scores and immune cell infiltration, suggesting that these subtypes could be defined as immune cold tumors. Additionally, the Normal-like subtype has relatively high levels of both immune and stromal features, which indicates that the Normal-like subtype may be suitable for more diverse treatment strategies.
Article
Biochemistry & Molecular Biology
Wei Wang, Haiyan Yuan, Junwei Han, Wei Liu
Summary: Risk gene identification has been a significant focus in the past two decades. This study proposes a protein complex-based, group Lasso-logistic model (PCLassoLog) to discover risk protein complexes, which extends the understanding of the molecular mechanism of cancer. Experimental results show that PCLassoLog outperforms other models and identifies risk protein complexes with individual risk proteins and synergistic partners.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Biochemical Research Methods
Yuqi Sheng, Jiashuo Wu, Xiangmei Li, Jiayue Qiu, Ji Li, Qinyu Ge, Liang Cheng, Junwei Han
Summary: Researchers developed a novel computational method called iATMEcell to identify abnormal tumor microenvironment (TME) cells associated with biological outcomes. They manually collected TME cell types and their corresponding gene signatures, constructed a weighted cell-cell crosstalk network, and used network propagation algorithm to identify significantly dysregulated TME cells.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Biology
Yinchun Su, Jiashuo Wu, Xiangmei Li, Ji Li, Xilong Zhao, Bingyue Pan, Junling Huang, Qingfei Kong, Junwei Han
Summary: In order to identify potential drugs against COVID-19, researchers have developed a computational approach called DTSEA. This method effectively ranks genes and performs enrichment analysis on drug target sets to predict candidate drugs. The DTSEA method has shown high accuracy and reliability in predicting potential drugs for COVID-19.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Virology
Zijun Zhu, Xinyu Chen, Chao Wang, Sainan Zhang, Rui Yu, Yubin Xie, Shuofeng Yuan, Liang Cheng, Lei Shi, Xue Zhang
Summary: This study conducted a genome-wide association study (GWAS) to identify host genetic factors associated with COVID-19. The correlation between genetic variations and gene expression was assessed using expression quantitative trait locus (eQTL) analysis. The findings revealed 20 genes significantly associated with immunity and neurological disorders. Single-cell datasets were used to validate these findings and to explore the causal relationship between COVID-19 and neurological disorders. Cell experiments were conducted to investigate the effects of COVID-19-related protein-coding genes. This study provides important insights into the genetic architecture underlying the pathophysiology of COVID-19.
JOURNAL OF MEDICAL VIROLOGY
(2023)
Article
Biochemistry & Molecular Biology
Qian Wang, Xiangmei Li, Jiayue Qiu, Yalan He, Jiashuo Wu, Ji Li, Wei Liu, Junwei Han
Summary: Immune checkpoint inhibitor therapy is effective for melanoma, but gene-based predictive biomarkers are unstable. This study proposes a novel pathway mutation signature (PMS) model that predicts the survival and efficacy of ICI therapy based on accumulated gene mutations in biological pathways.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Biochemistry & Molecular Biology
Wei Wang, Haiyan Yuan, Junwei Han, Wei Liu
Summary: Risk gene identification has been a focus of attention in the past two decades. This study proposes a protein complex-based, group Lasso-logistic model (PCLassoLog) to discover risk protein complexes, which yields superior predictive performance and identifies close partners that synergize with individual risk proteins. Additionally, selection probabilities are calculated and other protein complex-based models are proposed to complement PCLassoLog in identifying reliable risk protein complexes.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
(2023)
Article
Medicine, Research & Experimental
Xiangmei Li, Yalan He, Ying Jiang, Bingyue Pan, Jiashuo Wu, Xilong Zhao, Junling Huang, Qian Wang, Liang Cheng, Junwei Han
Summary: Immunotherapy is a promising cancer therapy, but effective biomarkers are needed to identify responsive patients. This study developed a pathway analysis method, PathwayTMB, to identify genomic mutation pathways as potential biomarkers for immunotherapy. The method showed promising results in predicting clinical outcome and had superior predictive effect compared to TMB.
MOLECULAR THERAPY-NUCLEIC ACIDS
(2023)