SORD Antibody (Center) Blocking Peptide
- Known as:
- SORD Antibody (Center) Blocking Peptide
- Catalog number:
- BP16049c
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- Abgen
- Gene target:
- SORD Antibody (Center) Blocking Peptide
Related genes to: SORD Antibody (Center) Blocking Peptide
- Gene:
- SORD NIH gene
- Name:
- sorbitol dehydrogenase
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 15q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-05
Related products to: SORD Antibody (Center) Blocking Peptide
Related articles to: SORD Antibody (Center) Blocking Peptide
- The plasmid-borne gene poses a significant threat to global health by conferring resistance to colistin, a critical last-resort antibiotic. While its spread is well documented, the adaptations enabling its concurrent antibiotic resistance and clinical pathogenicity remain unknown. The metabolism of bacterial pathogens has evolved to support virulence in nutrient-limiting host environments. Here, we show that sorbose metabolism promotes the fitness and virulence of positive (MCRPEC), but does not affect its resistance to colistin or polymyxin B. Notably, the virulence contribution is also observed in an -negative background. Genetic disruption of sorbose catabolism (Δ) attenuated MCRPEC virulence and fitness both and . Integrated transcriptomic and metabolomic analyses suggest that this attenuation is associated with impaired expression of two major virulence determinants. First, defective sorbose metabolism limits the supply of monosaccharide precursors required for LPS biosynthesis, leading to reduced LPS content. Second, metabolic disruption decreases intracellular cAMP levels, which downregulates expression via a cAMP-dependent signaling pathway, thereby compromising bacterial adhesion. Notably, although deletion enhances biofilm formation, this increase is insufficient to rescue the virulence defect. Restoration of the sorbose metabolic pathway partially rescues MCRPEC pathogenicity. These findings suggest that sorbose metabolism contributes to MCRPEC pathogenicity by supporting LPS synthesis and regulating expression via cAMP signaling. This study indicates a metabolic link between sorbose utilization and MCRPEC pathogenicity, raising the possibility that sorbose, a common food additive, could facilitate MCRPEC pathogenicity.IMPORTANCEThe spread of colistin-resistant () limits treatment options for life-threatening infections. This study shows that sorbose metabolism, which utilizes a common dietary sugar, contributes to the fitness and virulence of such resistant bacteria without affecting their colistin resistance. Using -positive , we find that this metabolic pathway supports lipopolysaccharide synthesis and, via a cAMP-dependent mechanism, promotes bacterial adhesion. Disabling sorbose catabolism attenuates the pathogen in animal models. These findings suggest a previously unrecognized link between a specific carbohydrate metabolism and pathogenesis in drug-resistant , raising the possibility that dietary components may influence infection outcomes. - Source: PubMed
Publication date: 2026/06/15
Deng XueShen CongChen LingjuanSun DandanQiu TianZhao ZihanLi TongZhang GuiliWu JiWang JuanTian Guo-BaoXu LingqingYan BinZhong Lan-Lan - The objective of this study was to investigate the effects of trehalose and different doses of melatonin and lipid mixtures on the quality parameters of post-thaw bull sperm during cryopreservation. The ejaculates of three mature bulls were pooled and divided into ten equal aliquots. These aliquots were diluted with a Tris-based extender, which was supplemented with either 5% glycerol (G5) or 3% glycerol combined with 60 mM trehalose (G3T), alongside different doses of melatonin and lipid mixtures. Ten experimental groups were established as follows: G5, G5+0.25 mM melatonin (G5M0.25), G5+0.75 mM melatonin (G5M0.75), G5+ 1.25 μl/ml lipid mixtures (G5L1.25), G5+3.75 μl/ml lipid mixtures (G5L3.75), G3T, G3T+0.25 mM melatonin (G3TM0.25), G3T+0.75 mM melatonin (G3TM0.75), G3T+1.25 μl/ml lipid mixtures (G3TL1.25), and G3T+3.75 μl/ml lipid mixtures (G3TL3.75). No significant interaction was detected between any of the groups containing the G5 and G3T extenders, and all groups were found to be similar for sperm motility and flow cytometry analysis results (p > 0.05). The G5M0.25 and G5L1.25 groups had a higher recovery of post-thaw motility compared to the other groups containing 5% glycerol (p = 0.0004). In terms of motility rates, groups G3TM0.25 and G3TL1.25 displayed a higher level of protection compared to the other groups, and this protection was significantly greater than that determined in groups G3TM0.75 and G3TL3.75 (p = 0.001). The expression of the GFPT1, PFKP, FBF2, HK1, and ALDH2 genes was found to be significantly increased in the G5 and G3T groups containing both doses of lipid mixtures (L1.25 and L3.75) compared to the groups without additives (G5 and G3T) (p < 0.001-0.0001). However, the expression of the SORD gene was found to be increased only in the G3TL1.25 and G3TL3.75 groups compared to group G3T (p < 0.01-0.001). GFPT1 and FBF2 gene expressions were significantly increased in the G5M0.75 group compared to group G5 (p < 0.05). The G3T groups containing both doses of melatonin were found to display increased GFPT1 (p < 0.01) and PFKP (p < 0.05-0.01) expression levels compared to group G3T. It was determined that the addition of lipid mixtures at both doses to both G5 and G3T resulted in a significant transcriptional increase in all of the genes studied (except for SORD gene expression in the G5L1.25 and G5L3.75 groups), compared to the lipid mixtures-free groups (p < 0.05-0.001). Based on the evaluation of all results, G3T can be used as a substitute for G5 to reduce glycerol toxicity. - Source: PubMed
Publication date: 2026/06/10
Ağır VahitBucak Mustafa NumanGarip MustafaSarı Muhammet Eminİnanç Muhammed Enes - - Source: PubMed
Publication date: 2026/06/02
- Pancreatic ductal adenocarcinoma (PDAC) carries a poor prognosis largely due to lack of efficient diagnostic means. We applied mass spectrometry-based high-coverage plasma proteome analysis accompanying with machine learning to develop a 5-protein diagnostic model: SNCA, GCLC, LBP, ALAD, and SORD. For differentiating PDAC from healthy controls (HCs), this model reached an area under the curve (AUC) of 0.973 with 100% sensitivity and 85% specificity in the discovery cohort, with nested cross-validation confirming robust performance (AUC = 0.958). Further validation centered on SNCA achieved an AUC of 0.835 in an independent validation cohort. SNCA also showed good diagnostic performance in PDAC patients with low CA19-9 level (AUC = 0.868), underscoring its potential value for this subgroup. Overall, these findings indicate SNCA as a promising candidate plasma diagnostic marker for PDAC. - Source: PubMed
Publication date: 2026/06/01
Yu JiaqiLuo WenhuiZhang JianQin BaoyiWang XiaoxinYang GuoqianHou WenhaoLi ChaoyingLiu FujunSun ShijieLiu XinYing Wantao - Developer discussions particularly on programming related questions answering (Q&A) sites, contain useful information, which, if mined and analysed carefully can be transformed into insightful recommendations for developers about which software to use or prefer over others, matching with one's requirements for different software development activities. However, there is a long way to go before such a system can be realized. As a first step in this direction, we empirically explored the developers' discussions on Stack Overflow, one of the most popular Q&A sites among developers, with a particular emphasis on mining software recommendations related insights. We considered the Stack Overflow data dump published in October 2025 containing complete data of the site since 2008. The data extraction process started with the conversion of the gigantic XML files to SQL Server database table records. We then applied a keywords-based filtering approach to identify potential recommendation related queries in questions, and recommendations in answers and comments related to any aspect of software development. The set of keywords comprised of 19 keywords including the term 'recommend' along with its 14 synonyms and 4 antonyms. The extracted dataset contains 73.9k (0.31%) questions containing such terms in the question title, 1.1 M (4.69%) questions containing them in the question body, 2.2 M (6.18%) answers and 1.9 M (2.08%) comments because of exact keyword matching. The results further increase in case of substring matching. When enriched with additional metadata e.g. Users, and (which are available in the Stack Overflow data dump), the raw dataset presented in this paper can become highly useful for the empirical software engineering and machine learning research community for training models and developing recommendation systems for software engineering. The extracted answers and comments can be mined to extract implicit developer preferences from which ratings can be inferred whereas the extracted recommendation related questions with accepted answers can be transformed into a benchmark for retrieval evaluation of software recommendation systems for developers. The dataset is hosted on Figshare using DOI 10.6084/m9.figshare.30948506 and can be accessed via https://doi.org/10.6084/m9.figshare.30948506 or the GitHub repository. - Source: PubMed
Publication date: 2026/05/06
Fatima ArjumandMaqbool Onaiza