Ask about this productRelated genes to: MDH1B Blocking Peptide
- Gene:
- MDH1B NIH gene
- Name:
- malate dehydrogenase 1B
- Previous symbol:
- -
- Synonyms:
- FLJ25341, RP11-95H11
- Chromosome:
- 2q33.3
- Locus Type:
- gene with protein product
- Date approved:
- 2002-01-29
- Date modifiied:
- 2015-11-13
Related products to: MDH1B Blocking Peptide
Related articles to: MDH1B Blocking Peptide
- Atherosclerosis (AS) is one of the most prevalent cardiovascular disorders, with endothelial dysfunction recognized as a central initiating event in its pathogenesis. Oxidized low-density lipoprotein (ox-LDL) is a key pathogenic factor that contributes to vascular injury. While the pro-atherogenic and oxidative effects of ox-LDL have been well described, the mechanisms by which it influences cellular energy metabolism remain largely unclear. - Source: PubMed
Publication date: 2026/01/08
Pu ChenYang HailangWang GuorongWang XuetingWan XiaobinLiu QiangZhao Yanping - Erectile dysfunction (ED) is a common condition affecting millions of men worldwide. While genome-wide association studies (GWAS) have identified genetic loci associated with ED risk, the potential causative genes and their biological mechanisms leading to ED remain largely unexplored. - Source: PubMed
Publication date: 2025/03/27
Zhu TianleMa YukuaiYang PengCao ZhiGao JingjingDu JunhuaGao PanJiang HuiZhang Xiansheng - The Venus flytrap sea anemone Actinoscyphia liui inhabits the nutrient-limited deep ocean in the tropical western Pacific. Compared with most other sea anemones, it has undergone a distinct modification of body shape similar to that of the botanic flytrap. However, the molecular mechanism by which such a peculiar sea anemone adapts to a deep-sea oligotrophic environment is unknown. Here, we report the chromosomal-level genome of A. liui constructed from PacBio and Hi-C data. The assembled genome is 522 Mb in size and exhibits a continuous scaffold N50 of 58.4 Mb. Different from most other sea anemones, which typically possess 14-18 chromosomes per haplotype, A. liui has only 11. The reduced number of chromosomes is associated with chromosome fusion, which likely represents an adaptive strategy to economize energy in oligotrophic deep-sea environments. Comparative analysis with other deep-sea sea anemones revealed adaptive evolution in genes related to cellular autophagy (TMBIM6, SESN1, SCOCB and RPTOR) and mitochondrial energy metabolism (MDH1B and KAD2), which may aid in A. liui coping with severe food scarcity. Meanwhile, the genome has undergone at least two rounds of expansion in gene families associated with fast synaptic transmission, facilitating rapid responses to water currents and prey. Positive selection was detected on putative phosphorylation sites of muscle contraction-related proteins, possibly further improving feeding efficiency. Overall, the present study provides insights into the molecular adaptation to deep-sea oligotrophic environments and sheds light upon potential effects of a novel morphology on the evolution of Cnidaria. - Source: PubMed
Publication date: 2024/08/21
Li JunyuanZhan ZifengLi YangSun YananZhou TongXu Kuidong - Malate dehydrogenase (MDH) performs key roles in metabolism, but little is known about its function specifically in human health and disease. In this minireview, we describe the incomplete state of our knowledge of human MDH genetics. Humans have three MDH genes with a total of four validated isoforms. MDH1 and MDH2 are widely expressed, while MDH1B is only expressed in a small subset of tissues. Many mutations in MDH1 and MDH2 have been identified in patients, but only a few have been studied to determine what symptoms they cause. MDH1 has been associated with cancer and a neurodevelopmental disorder. MDH2 has been associated with diabetes, neurodevelopmental disorders, and cancer. - Source: PubMed
Haberman AdamPeterson Celeste N - Cervical cancer (CC) is the fourth most common malignant tumor in term of in incidence and mortality among women worldwide. The tricarboxylic acid (TCA) cycle is an important hub of energy metabolism, networking one-carbon metabolism, fatty acyl metabolism and glycolysis. It can be seen that the reprogramming of cell metabolism including TCA cycle plays an indispensable role in tumorigenesis and development. We aimed to identify genes related to the TCA cycle as prognostic markers in CC. Firstly, we performed the differential expressed analysis the gene expression profiles associated with TCA cycle obtained from The Cancer Genome Atlas (TCGA) database. Differential gene list was generated and cluster analysis was performed using genes with detected fold changes >1.5. Based on the subclusters of CC, we analysed the relationship between different clusters and clinical information. Next, Cox univariate and multivariate regression analysis were used to screen genes with prognostic characteristics, and risk scores were calculated according to the genes with prognostic characteristics. Additionally, we analyzed the correlation between the predictive signature and the treatment response of CC patients. Finally, we detected the expression of ench prognostic gene in clinical CC samples by quantitative polymerase chain reaction (RT-qPCR). We constructed a prognostic model consist of seven TCA cycle associated gene (ACSL1, ALDOA, FOXK2, GPI, MDH1B, MDH2, and MTHFD1). Patients with CC were separated into two groups according to median risk score, and high-risk group had a worse prognosis compared to the low-risk group. High risk group had lower level of sensitivity to the conventional chemotherapy drugs including cisplatin, paclitaxel, sunitinib and docetaxel. The expression of ench prognostic signature in clinical CC samples was verified by qRT-PCR. There are several differentially expressed genes (DEGs) related to TCA cycle in CC. The risk score model based on these genes can effectively predict the prognosis of patients and provide tumor markers for predicting the prognosis of CC. - Source: PubMed
Publication date: 2023/03/09
Chen GuanqiaoHong XiaoshanHe WanshanOu LinglingChen BinZhong WeitaoLin YuLuo Xiping