Opposite Genetic Effects of CMIP Polymorphisms on the Risk of Type 2 Diabetes and Obesity: A Family-Based Study in China

Cao, Yaying; Wang, Tao; Wu, Yiqun; Juan, Juan; Qin, Xueying; Tang, Xun; Wu, Tao; Hu, Yonghua

doi:10.3390/ijms19041011

Cited by 15 publications

(10 citation statements)

References 47 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interestingly, this study also found for the first time a significant association between CMIP rs16955379 and GDM. Previous studies suggested that CMIP was associated with lipid metabolism, and its rs16955379 variant was linked to lipid metabolism disorders [ 25 ], which might thus increase the risk of T2DM [ 26 ]. Cho et al [ 11 ] found C alleles in rs16955379 was a risk factor for T2DM in East Asian populations.…”

Section: Discussionmentioning

confidence: 99%

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China

Chen

Zhou

et al. 2022

Diabetol Metab Syndr

View full text Add to dashboard Cite

Objectives To evaluate the influence of genetic variants and clinical characteristics on the risk of gestational diabetes mellitus (GDM) and to construct and verify a prediction model of GDM in early pregnancy. Methods Four hundred seventy five women with GDM and 487 women without, as a control, were included to construct the prediction model of GDM in early pregnancy. Both groups had complete genotyping results and clinical data. They were randomly divided into a trial cohort (70%) and a test cohort (30%). Then, the model validation cohort, including 985 pregnant women, was used for the external validation of the GDM early pregnancy prediction model. Results We found maternal age, gravidity, parity, BMI and family history of diabetes were significantly associated with GDM (OR > 1; P < 0.001), and assisted reproduction was a critical risk factor for GDM (OR = 1.553, P = 0.055). MTNR1B rs10830963, C2CD4A/B rs1436953 and rs7172432, CMIP rs16955379 were significantly correlated with the incidence of GDM (AOR > 1, P < 0.05). Therefore, these four genetic susceptible single nucleotide polymorphisms (SNPs) and six clinical characteristics were included in the construction of the GDM early pregnancy prediction model. In the trial cohort, a predictive model of GDM in early pregnancy was constructed, in which genetic risk score was independently associated with GDM (AOR = 2.061, P < 0.001) and was the most effective predictor with the exception of family history of diabetes. The ROC-AUC of the prediction model was 0.727 (95% CI 0.690–0.765), and the sensitivity and specificity were 69.9% and 64.0%, respectively. The predictive power was also verified in the test cohort and the validation cohort. Conclusions Based on the genetic variants and clinical characteristics, this study developed and verified the early pregnancy prediction model of GDM. This model can help screen out the population at high-risk for GDM in early pregnancy, and lifestyle interventions can be performed for them in a timely manner in early pregnancy.

show abstract

Section: Discussionmentioning

confidence: 99%

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China

Chen

Zhou

et al. 2022

Diabetol Metab Syndr

View full text Add to dashboard Cite

show abstract

“…Many studies have investigated the association between the CMIP gene and diseases such as mental neuropsychiatric disorder ( Eicher & Gruen, 2015 ; Luo et al, 2017 ; Wang et al, 2015 ), cancer ( Juan et al, 2019 ), and metabolic disease ( Cao, Wang & Wu, 2018 ; Mo et al, 2018 ). In this study, we included 1,536 participants to study the association between four tag SNPs (rs12925980, rs22287112, rs3751859 and rs77700579) of the CMIP gene and SCZ.…”

Section: Discussionmentioning

confidence: 99%

Association between C-Maf-inducing protein gene rs2287112 polymorphism and schizophrenia

Ren

Bai

et al. 2021

PeerJ

View full text Add to dashboard Cite

Background Schizophrenia is a severely multifactorial neuropsychiatric disorder, and the majority of cases are due to genetic variations. In this study, we evaluated the genetic association between the C-Maf-inducing protein (CMIP) gene and schizophrenia in the Han Chinese population. Methods In this case-control study, 761 schizophrenia patients and 775 healthy controls were recruited. Tag single-nucleotide polymorphisms (SNPs; rs12925980, rs2287112, rs3751859 and rs77700579) from the CMIP gene were genotyped via matrix-assisted laser desorption/ionization time of flight mass spectrometry. We used logistic regression to estimate the associations between the genotypes/alleles of each SNP and schizophrenia in males and females, respectively. The in-depth link between CMIP and schizophrenia was explored through linkage disequilibrium (LD) and further haplotype analyses. False discovery rate correction was utilized to control for Type I errors caused by multiple comparisons. Results There was a significant difference in rs287112 allele frequencies between female schizophrenia patients and healthy controls after adjusting for multiple comparisons (χ2 = 12.296, Padj = 0.008). Females carrying minor allele G had 4.445 times higher risk of schizophrenia compared with people who carried the T allele (OR = 4.445, 95% CI [1.788–11.046]). Linkage-disequilibrium was not observed in the subjects, and people with haplotype TTGT of rs12925980–rs2287112–rs3751859–rs77700579 had a lower risk of schizophrenia (OR = 0.42, 95% CI [0.19–0.94]) when compared with CTGA haplotypes. However, the association did not survive false discovery rate correction. Conclusion This study identified a potential CMIP variant that may confer schizophrenia risk in the female Han Chinese population.

show abstract

“…Finally, a potential function of CMIP in other organs and tissues can be inferred by the association of genetic variants with a number of pathologies. Accordingly, polymorphisms in CMIP sequence have been linked to the susceptibility to developing type 2 diabetes [ 22 , 23 , 24 , 25 ], to a decreased homeostasis model assessment of β-cell function and increased fasting plasma glucose [ 26 , 27 ], to adiponectin levels [ 28 , 29 ], to language impairment and autism [ 30 , 31 , 32 , 33 ], to adenylate cyclase 3 deficiency in the olfactory epithelium [ 34 ], to dyslipidemia associated with IgA nephropathy [ 35 , 36 ], to blood lipoprotein content [ 37 ], and adipocyte lipolysis [ 38 ]. Moreover, partial deletions have been described in some patients suffering from autism and gastro-intestinal disorders [ 39 ].…”

Section: C-maf Inducing Protein: Structural and Functional Aspectsmentioning

confidence: 99%

The Enigmatic Emerging Role of the C-Maf Inducing Protein in Cancer

Ollero

Sahali

2021

Diagnostics

View full text Add to dashboard Cite

The C-Maf-Inducing protein (CMIP) was first described as overexpressed in T cell subpopulations of idiopathic nephrotic syndrome (INS) patients. Later, it was found concomitantly upregulated in podocytes. CMIP expression has also been reported in several types of cancer, including blood malignancies and solid tumors, in many cases accompanied by nephrotic syndrome. In addition to these observations, the duality of CMIP overexpression in the kidney and INS lesions, has been extensively reported as one of the adverse effects of anticancer therapy based on anti-receptor tyrosine kinase drugs. As a consequence, a growing body of evidence points at CMIP as playing a role in cancer. This includes its reciprocal regulatory ties with NF-κB and WT1, and the more recent reports showing an involvement in regulatory circuits in cancer cells. The ensemble of the current information justifies to propose CMIP as an important piece of the puzzle of biological systems involved in cancer and other diseases and its potential as a target.

show abstract

Opposite Genetic Effects of CMIP Polymorphisms on the Risk of Type 2 Diabetes and Obesity: A Family-Based Study in China

Cited by 15 publications

References 47 publications

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China

An early prediction model for gestational diabetes mellitus based on genetic variants and clinical characteristics in China

Association between C-Maf-inducing protein gene rs2287112 polymorphism and schizophrenia

The Enigmatic Emerging Role of the C-Maf Inducing Protein in Cancer

Contact Info

Product

Resources

About