Ask about this productRelated genes to: Upp2 Blocking Peptide
- Gene:
- UPP2 NIH gene
- Name:
- uridine phosphorylase 2
- Previous symbol:
- -
- Synonyms:
- UPASE2, UP2, UDRPASE2
- Chromosome:
- 2q24.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-09-01
- Date modifiied:
- 2016-10-05
Related products to: Upp2 Blocking Peptide
Related articles to: Upp2 Blocking Peptide
- Human eye, skin and hair color pigmentation are highly heritable traits influenced by hundreds of genetic loci. The heritability and genetic etiology of the hyperpigmentation trait pregnancy-related linea nigra (PLN), where a dark but usually temporary vertical line develops on the abdomen, is unknown, and our understanding of its relationships with other pigmentation traits is limited. We conducted a genetic study of self-reported PLN in women of European ancestry, using a genome-based restricted maximum likelihood (GREML) method to estimate PLN heritability, performing a genomewide association study (GWAS) to explore the genetic factors underlying PLN, and calculating polygenic risk scores (PRS) to assess whether this trait shares genetic liability with two other skin pigmentation phenotypes, skin colour and mole count. We found 35% of the variance in developing PLN was explained by common genetic variation. The GWAS revealed four genomic loci suggestively associated ( values ≤ 1 × 10) with PLN: rs1263154 near the gene ( = 9.0 × 10), rs26331 near ( = 6.6 × 10), rs78371540 in ( = 5.5 × 10), and rs72693263 near ( = 1.1 × 10). Of these genes only has been previously associated with pigmentation. Our PRS results provide the first evidence that genetic factors underlying skin color and mole count also contribute to the development of PLN in women of European ancestry. - Source: PubMed
Publication date: 2025/11/04
Bivol SvetlanaSeviiri MathiasColodro-Conde LucíaMitchell Brittany LOlsen Catherine MWhiteman David CLaw Matthew HLind Penelope APainter Jodie NMedland Sarah E - Obesity is caused by excessive storage of adipose tissue and leads to metabolic disorders. Uridine exerts modulatory effects on lipid metabolism, but the regulatory mechanism in obesity needs further research. - Source: PubMed
Publication date: 2025/09/22
Liu YilinZhang HuihuiYang XudongXie Chunyan - Second-generation antipsychotics (SGAs) are widely used to treat schizophrenia (SCZ), but they often induce metabolic side effects like dyslipidemia and obesity. We conducted genome-wide association studies (GWASs) to identify genetic variants associated with SGA-induced lipid and BMI changes in Chinese SCZ patients. A longitudinal cohort of Chinese SCZ receiving SGAs was followed for up to 18.7 years (mean = 5.7 years, SD = 3.3 years). We analysed the patients' genotypes (N = 669), lipid profiles, and BMI using 19 316 prescription records and 3 917 to 7 596 metabolic measurements per outcome. Linear mixed models were employed to evaluate seven SGAs' random effects on metabolic changes for each patient, followed by GWAS and gene set analyses with Bonferroni and FDR correction. Five SNPs achieved p-value < 5 × 10 before multiple testing correction: rs6532055 (ABCG2) linked to olanzapine-induced LDL changes, rs2644520 (near SORCS1) linked to aripiprazole-induced triglyceride changes, rs115843863 (near UPP2) linked to clozapine-induced HDL changes, rs2514895 (near KIRREL3) linked to paliperidone-induced LDL changes, and rs188405603 (SLC2A9) linked to quetiapine-induced triglyceride changes. These five SNPs passed FDR correction at 0.2 but not Bonferroni-corrected genome-wide significance threshold (p-value < 3.125 × 10) for 160 GWAS analyses. Gene-based analysis revealed six genome-wide significant genes after Bonferroni correction (p-value < 2.73 × 10): ABCG2, APOA5, ZPR1, GCNT4, MAST2, and CRTAC1. Four gene sets were significantly associated with SGA-induced metabolic side effects. In summary, this pharmacogenetic GWAS identified several genetic variants potentially associated with SGA-induced metabolic side effects, potentially informing personalized treatment strategies to minimize metabolic risk in SCZ patients. Given our limited sample size, further replications are required to confirm the findings. - Source: PubMed
Publication date: 2025/08/19
Wong Kenneth Chi-YinLeung Perry Bok-ManLee Benedict Ka-WaZheng Zoe Zi-YuTsang Emily Man-WahLiu Meng-HuiLee Kelly Wing-KwanRao Shi-TaoSham Pak-ChungLui Simon Sai-YuSo Hon-Cheong - Light exposure has significant effects on animal development, metabolism, and immune function; however, few genes regulating these functional changes have been identified. In this study, a total of 160 broilers were randomly housed in 4 groups under different colors of light (white, red, blue, and green, n = 40 each). Body, liver, and spleen weights and serum indices were measured at 56 days, and liver and spleen samples were taken for transcriptomic sequencing. Chicken body, liver, and spleen weights; liver and spleen indices; and serum triglyceride and cholesterol levels significantly increased under blue light. In the spleen, 520, 713, and 733 differentially expressed genes (DEGs), including CRLF2, IFIH1, STAT2, XDH, were found in the red, blue, and green light groups, respectively, compared to the white light group. Compared with those in the white light group, a total of 436, 825, and 596 DEGs, including UPP2, SCD, FASN, were found in the red, blue, and green light groups, respectively. A total of 47 modules were identified by weighted gene coexpression network analysis (WGCNA), the darkolivegreen and royalblue modules of which were significantly positively correlated with blue light exposure and the liver, and the cyan and black modules were positively correlated with blue light exposure and the spleen. KEGG analysis of the hub genes with a |KME| > 0.8 in the module revealed that the effects of blue light on the liver were related mainly to NOD-like receptor signaling and PPAR signaling pathways. The effects of blue light on the spleen were primarily related to NOD-like receptor signaling and RIG-I-like receptor signaling pathways. Expression of UPP2, FASN, and SCD, which promotes hepatic fat accumulation, was upregulated in the blue light group. Moreover, in the blue light group, upregulated XDH, CRLF2, and IFIH1 expression facilitates the immunity of chickens. This study reveals potential pathways through which light affects lipid metabolism and immune function, providing new insights into how light influences animal development and production. - Source: PubMed
Publication date: 2025/05/12
Tan XiaodongJin YutingLi JiahuaDong JieHuang MinjieWang Deqian - As a major producer and consumer of duck meat, China faces industry challenges due to low feed conversion efficiency. Residual feed intake (RFI), a key metric for poultry feed utilization, remains poorly characterized in small-sized meat ducks. We raised 1,000 ducklings with similar initial body weight (BW) under controlled conditions until 63 days of age. RFI was calculated using average daily gain (ADG), average daily feed intake (ADFI), and metabolic body weight (MBW). Thirty high-RFI (HRFI) and thirty low-RFI (LRFI) ducks were selected to evaluate growth performance. Hypothalamic samples from 6 HRFI and 6 LRFI ducks underwent transcriptomic analysis, including differential gene expression, gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, weighted gene co-expression network analysis, and miRNA target prediction. Results showed that the LRFI group had significantly lower feed intake (FI) and ADFI than the HRFI group (P < 0.05). Compared to low RFI controls, HRFI meat ducks exhibited 45 differentially expressed (DE) miRNAs (6 upregulated and 39 downregulated) and 323 DE mRNAs (133 upregulated and 190 downregulated), enriched in substance and energy metabolism pathways. Weighted gene co-expression network analysis identified ten hub DE miRNAs, including miR-1-3p, miR-10-5p/3p, miR-182-5p/3p, miR-183-5p, miR-263-5p, miR-96-5p, miR-7, and novel-m0108-5p. miRNA-mRNA network analysis revealed 43 DE regulatory pairs, including 15 with negative feedback. Notably, miR-182 targeted and regulated the highest number of DE mRNAs, showing negative feedback interactions with DDC, UPP2, PRSS35, and SLCO1C1. Dual-luciferase reporter assays confirmed the binding of partial genes. Given DDC's role in dopamine and serotonin synthesis, we further validated the miR-182-5p/DDC regulatory relationship through overexpression, interference, and Western blot experiments. This study provides novel insights into the molecular mechanisms underlying feed efficiency in ducks. - Source: PubMed
Publication date: 2025/03/21
Geng DandanYuan ChunyouLi XiaofanWang ChenxiaoGuo QixinJiang YongWang ZhixiuChen GuohongChang GuobinBai Hao