Changes in VGF and C3aR1 gene expression in human adipose tissue in obesity

Koç, Gülşah; Soyocak, Ahu; Alış, Halil; Kankaya, Burak; Kanigür, Gönül

doi:10.1007/s11033-020-06043-9

“…Besides, AGPAT1 deficiency mice have reduced plasma glucose levels and body weight and alteration in lipid synthesis (Agarwal et al 2017). VGF gene expression was lower in obese patients, indicating that VGF may be significantly correlated with obesity (Koc et al 2021); It has been reported that VGF is associated with energy balance and glucose homeostasis (Ferri et al 2011;Stephens et al 2017).…”

Section: Discussionmentioning

confidence: 95%

Peer Review #1 of "Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis (v0.1)"

Rathod¹

2021

0

View full text Add to dashboard Cite

Colorectal cancer (CRC) is one of the most common malignant carcinomas worldwide with poor prognosis, imposing an increasingly heavy burden on patients. Previous experiments and epidemiological studies have shown that vitamin D and vitamin D-related genes play a vital role in CRC. Therefore, we aimed to construct a vitamin D-related gene signature to predict prognosis in CRC. The CRC data from The Cancer Genome Atlas (TCGA) was performed as the training set. A total of 173 vitamin D-related genes in the TCGA CRC dataset were screened, and 17 genes associated with CRC prognosis were identified from them. Then, a vitamin D-related gene signature consisting of those 17 genes was established by univariate and multivariate Cox analyses. Moreover, four external datasets (GSE17536, GSE103479, GSE39582, and GSE17537) were used as testing set to validate the stability of this signature. The high-risk group presented a significantly poorer overall survival than low-risk group in both of training set and testing sets. Besides, the areas under the curve (AUCs) for signature on OS in training set at 1, 3, and 5 years were 0.710, 0.708, 0.710 respectively. The AUCs of the ROC curve in GSE17536 for 1, 3, and 5 years were 0.649, 0.654, and 0.694. These results indicated the vitamin D-related gene signature model could effectively predict the survival status of CRC patients. This vitamin D-related gene signature was also correlated with TNM stage in CRC clinical parameters, and the higher risk score from this model was companied with higher clinical stage. Furthermore, the high accuracy of this prognostic signature was validated and confirmed by nomogram model. In conclusion, we have proposed a novel vitamin D-related gene model to predict the prognosis of CRC, which will help provide new therapeutic targets and act as potential prognostic biomarkers for CRC.

show abstract

“…Some of them are connected with cardiovascular abnormalities and T2DM. C3aR1 showed elevated expression in obese patients compared to the control group ( 48 ). Research implicates that CCR5 plays an important role in the initiation and progression of atherosclerosis ( 49 ).…”

Section: Discussionmentioning

confidence: 99%

Serum miRNA Profile in Diabetic Patients With Ischemic Heart Disease as a Promising Non-Invasive Biomarker

Bielska

¹

,

Niemira

²

,

Bauer

³

et al. 2022

View full text Add to dashboard Cite

The increasing morbidity and mortality of type 2 diabetic mellitus (T2DM) patients with ischemic heart disease (IHD) highlight an urgent need to identify early biomarkers, which would help to predict individual risk of development of IHD. Here, we postulate that circulating serum-derived micro RNAs (miRNAs) may serve as potential biomarkers for early IHD diagnosis and support the identification of diabetic individuals with a predisposition to undergo IHD. We obtained serum samples from T2DM patients either with IHD or IHD-free and analysed the expression levels of 798 miRNAs using the NanoString nCounter technology platform. The prediction of the putative miRNAs targets was performed using the Ingenuity Pathway Analysis (IPA) software. Gene Ontology (GO) analysis was used to identify the biological function and signalling pathways associated with miRNA target genes. Hub genes of protein-protein interaction (PPI) network were identified by STRING database and Cytotoscape tool. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic value of identified miRNAs. Real-time quantitative polymerase chain reaction (qRT-PCR) was used for nCounter platform data validation. Our data showed that six miRNAs (miR-615-3p, miR-3147, miR-1224-5p, miR-5196-3p, miR-6732-3p, and miR-548b-3p) were significantly upregulated in T2DM IHD patients compared to T2DM patients without IHD. Further analysis indicated that 489 putative target genes mainly affected the endothelin-1 signalling pathway, glucocorticoid biosynthesis, and apelin cardiomyocyte signalling pathway. All tested miRNAs showed high diagnostic value (AUC = 0.779 - 0.877). Taken together, our research suggests that circulating miRNAs might have a crucial role in the development of IHD in diabetic patients and may be used as a potential biomarker for early diagnosis.

show abstract

“…Besides, AGPAT1 deficiency mice have reduced plasma glucose levels and body weight and alteration in lipid synthesis ( Agarwal et al, 2017 ). VGF gene expression was lower in obese patients, indicating that VGF may be significantly correlated with obesity ( Koc et al, 2021 ); It has been reported that VGF is associated with energy balance and glucose homeostasis ( Ferri et al, 2011 ; Stephens et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis

Bu

¹

,

Huang

²

,

Li

³

et al. 2021

PeerJ

View full text Add to dashboard Cite

Colorectal cancer (CRC) is one of the most common malignant carcinomas worldwide with poor prognosis, imposing an increasingly heavy burden on patients. Previous experiments and epidemiological studies have shown that vitamin D and vitamin D-related genes play a vital role in CRC. Therefore, we aimed to construct a vitamin D-related gene signature to predict prognosis in CRC. The CRC data from The Cancer Genome Atlas (TCGA) was performed as the training set. A total of 173 vitamin D-related genes in the TCGA CRC dataset were screened, and 17 genes associated with CRC prognosis were identified from them. Then, a vitamin D-related gene signature consisting of those 17 genes was established by univariate and multivariate Cox analyses. Moreover, four external datasets (GSE17536, GSE103479, GSE39582, and GSE17537) were used as testing set to validate the stability of this signature. The high-risk group presented a significantly poorer overall survival than low-risk group in both of training set and testing sets. Besides, the areas under the curve (AUCs) for signature on OS in training set at 1, 3, and 5 years were 0.710, 0.708, 0.710 respectively. The AUCs of the ROC curve in GSE17536 for 1, 3, and 5 years were 0.649, 0.654, and 0.694. These results indicated the vitamin D-related gene signature model could effectively predict the survival status of CRC patients. This vitamin D-related gene signature was also correlated with TNM stage in CRC clinical parameters, and the higher risk score from this model was companied with higher clinical stage. Furthermore, the high accuracy of this prognostic signature was validated and confirmed by nomogram model. In conclusion, we have proposed a novel vitamin D-related gene model to predict the prognosis of CRC, which will help provide new therapeutic targets and act as potential prognostic biomarkers for CRC.

show abstract

Changes in VGF and C3aR1 gene expression in human adipose tissue in obesity

Cited by 17 publications

References 36 publications

Peer Review #1 of "Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis (v0.1)"

Peer Review #1 of "Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis (v0.1)"

Serum miRNA Profile in Diabetic Patients With Ischemic Heart Disease as a Promising Non-Invasive Biomarker

Identification of Vitamin D-related gene signature to predict colorectal cancer prognosis

Contact Info

Product

Resources

About