Alvin Ho, Paula Jossan, Noah Zaitlen and Srinath Sanda*
Background: Type 1 diabetes patients lose residual β-cell function after diagnosis at variable rates affecting development of diabetes related complications. The cause of this variability is not understood. We hypothesized that common genetic variants in genes in the insulin secretion pathway would influence the natural history of type 1 diabetes. Methods: DNA samples and longitudinal insulin secretion data from 167 newly diagnosed type 1 diabetes patients were obtained. Participants were genotyped for common variants in insulin secretion pathway genes. Results: After accounting for age, high-risk HLA alleles, BMI Z-score, and gender in a mathematical model, a non-coding intronic variant (rs10513688) in the SLC2A2 gene correlated with rate of loss of insulin secretion over the first 12 months. To confirm the biological significance of this non-coding region we created a microdeletion in the homologous intronic region in mouse β-cells and observed reduced Slc2a2 and insulin expression suggesting a functional role for this non-coding region. Conclusion: This work suggests that a common genetic variant in SLC2A2 may associate with longitudinal decline in residual insulin secretion in patients with type 1 diabetes.
DOI: 10.37421/2472-128X.2022.10.211
DOI: 10.37421/2472-128X.2022.10.212
DOI: 10.37421/2472-128X.2022.10.213
Cardiovascular illnesses (CVDs) are a gathering of issues of the heart and veins. Notwithstanding ecological gamble factors, hereditary inclination expands the gamble; this remembers modifications for the vitamin D receptor quality (VDR). These modifications assume a key part in changing vitamin D take-up, having the option to adjust its capability and expanding helplessness to cardiovascular problems. The point of this study was to assess the relationship of polymorphisms in the VDR quality and chance of CVD in a Caucasian populace. A review case-control study was directed involving 246 CVD patients and 246 controls of Caucasian beginning from Southern Spain. The hereditary polymorphisms BsmI (rs1544410), TaqI (rs731236), ApaI (rs7975232), FokI (rs2228570) and Cdx2 not entirely settled through ongoing polymerase chain response (PCR) for allelic separation utilizing TaqMan® tests. The VDR polymorphisms FokI (rs2228570) was fundamentally connected with the advancement of CVD. No impact was seen of the VDR polymorphisms BsmI (rs1544410), TaqI (rs731236), ApaI (rs7975232) and Cdx2 (rs11568820) on the gamble of creating CVD in the patients examined.
DOI: 10.37421/2472-128X.2022.10.214
The originator nucleases, including Zinc Finger Nuclease (ZFN), Transcription Activator-Like Effector Nuclease (TALEN), and Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-related (CRISPR/Cas), have been broadly utilized for unthinking investigations, creature model age, and quality treatment improvement. Clinical preliminaries utilizing planner nucleases to treat hereditary illnesses or malignant growths are showing promising outcomes. Notwithstanding quick advancement, likely off-targets and host resistant reactions are difficulties to be tended to for in vivo utilizes, particularly in clinical applications. Momentary articulation of the planner nucleases is important to decrease the two dangers. Right now, conveyance strategies empowering transient articulation of fashioner nucleases are being sought after. Among these, infection like particles as conveyance vehicles for momentary architect nuclease articulation certainly stand out. This audit will sum up late advancements in utilizing infection like particles (VLPs) for safe conveyance of quality altering effectors to supplement our keep going survey on a similar subject. In the first place, we present some foundation data on how VLPs can be utilized for protected and productive CRISPR/Cas9 conveyance. Then, we sum up as of late evolved infection like particles as genome altering vehicles. At last, we talk about applications and future bearings.
DOI: 10.37421/2472-128X.2022.10.215
Journal of Clinical & Medical Genomics received 391 citations as per Google Scholar report
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