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Dindo M, Pascarelli S, Chiasserini D, Grottelli S, Costantini C, Uechi G, Giardina G, Laurino P, Cellini B. Structural dynamics shape the fitness window of alanine:glyoxylate aminotransferase. Protein Sci 2022; 31:e4303. [PMID: 35481644 PMCID: PMC8996469 DOI: 10.1002/pro.4303] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 03/02/2022] [Accepted: 03/17/2022] [Indexed: 01/24/2023]
Abstract
The conformational landscape of a protein is constantly expanded by genetic variations that have a minimal impact on the function(s) while causing subtle effects on protein structure. The wider the conformational space sampled by these variants, the higher the probabilities to adapt to changes in environmental conditions. However, the probability that a single mutation may result in a pathogenic phenotype also increases. Here we present a paradigmatic example of how protein evolution balances structural stability and dynamics to maximize protein adaptability and preserve protein fitness. We took advantage of known genetic variations of human alanine:glyoxylate aminotransferase (AGT1), which is present as a common major allelic form (AGT‐Ma) and a minor polymorphic form (AGT‐Mi) expressed in 20% of Caucasian population. By integrating crystallographic studies and molecular dynamics simulations, we show that AGT‐Ma is endowed with structurally unstable (frustrated) regions, which become disordered in AGT‐Mi. An in‐depth biochemical characterization of variants from an anticonsensus library, encompassing the frustrated regions, correlates this plasticity to a fitness window defined by AGT‐Ma and AGT‐Mi. Finally, co‐immunoprecipitation analysis suggests that structural frustration in AGT1 could favor additional functions related to protein–protein interactions. These results expand our understanding of protein structural evolution by establishing that naturally occurring genetic variations tip the balance between stability and frustration to maximize the ensemble of conformations falling within a well‐defined fitness window, thus expanding the adaptability potential of the protein.
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Affiliation(s)
- Mirco Dindo
- Protein Engineering and Evolution Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan
| | - Stefano Pascarelli
- Protein Engineering and Evolution Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan
| | | | - Silvia Grottelli
- Department of Medicine and Surgery University of Perugia Perugia Italy
| | | | - Gen‐Ichiro Uechi
- Protein Engineering and Evolution Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan
| | - Giorgio Giardina
- Department of Biochemical Sciences “A. Rossi Fanelli” Sapienza University of Rome Rome Italy
| | - Paola Laurino
- Protein Engineering and Evolution Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan
| | - Barbara Cellini
- Department of Medicine and Surgery University of Perugia Perugia Italy
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Association between vitamin D receptor gene polymorphisms and idiopathic hypocitraturia in a Chinese Bai population. Urolithiasis 2018; 47:235-242. [PMID: 29926136 DOI: 10.1007/s00240-018-1069-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 06/11/2018] [Indexed: 12/31/2022]
Abstract
Idiopathic hypocitraturia (IH) is a risk factor for urolithiasis. IH is associated with vitamin D receptor (VDR) gene single nucleotide polymorphisms (SNPs) in a Chinese Han population. However, this association between VDR SNPs and IH has not been recapitulated in a Chinese Bai population. The aim of this study is to investigate the association between VDR SNPs and IH in a Chinese Bai population. A total of 320 participants comprising of 200 Chinese Bai patients with IH and 120 Chinese Bai control participants with normal urinary citrate level were enrolled for this study. The VDR SNPs rs7975232, rs2228570, rs731236 and rs1544410 were detected by Sanger sequencing, and the association between these SNPs and the presence of IH in the Chinese Bai population was analyzed. The prevalence of VDR SNPs rs7975232 allele A and rs2228570 genotype TT was significantly higher in patients than in controls (p < 0.0125, after Bonferroni correction). The haplotype TCGC was a protective factor in the Chinese Bai population who otherwise might suffer from IH, while the haplotype TTGA was a risk factor. VDR SNPs rs731236 and rs1544410 have a linkage disequilibrium value of 0.811. VDR SNPs rs7975232, rs2228570, and haplotypes TCGC, TTGA are associated with IH in a Chinese Bai population.
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Effects of alanine:glyoxylate aminotransferase variants and pyridoxine sensitivity on oxalate metabolism in a cell-based cytotoxicity assay. Biochim Biophys Acta Mol Basis Dis 2016; 1862:1055-62. [PMID: 26854734 DOI: 10.1016/j.bbadis.2016.02.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 02/03/2016] [Accepted: 02/04/2016] [Indexed: 12/20/2022]
Abstract
The hereditary kidney stone disease primary hyperoxaluria type 1 (PH1) is caused by a functional deficiency of the liver-specific, peroxisomal, pyridoxal-phosphate-dependent enzyme, alanine:glyoxylate aminotransferase (AGT). One third of PH1 patients, particularly those expressing the p.[(Pro11Leu; Gly170Arg; Ile340Met)] mutant allele, respond clinically to pharmacological doses of pyridoxine. To gain further insight into the metabolic effects of AGT dysfunction in PH1 and the effect of pyridoxine, we established an "indirect" glycolate cytotoxicity assay using CHO cells expressing glycolate oxidase (GO) and various normal and mutant forms of AGT. In cells expressing GO the great majority of glycolate was converted to oxalate and glyoxylate, with the latter causing the greater decrease in cell survival. Co-expression of normal AGTs and some, but not all, mutant AGT variants partially counteracted this cytotoxicity and led to decreased synthesis of oxalate and glyoxylate. Increasing the extracellular pyridoxine up to 0.3μM led to an increased metabolic effectiveness of normal AGTs and the AGT-Gly170Arg variant. The increased survival seen with AGT-Gly170Arg was paralleled by a 40% decrease in oxalate and glyoxylate levels. These data support the suggestion that the effectiveness of pharmacological doses of pyridoxine results from an improved metabolic effectiveness of AGT; that is the increased rate of transamination of glyoxylate to glycine. The indirect glycolate toxicity assay used in the present study has potential to be used in cell-based drug screening protocols to identify chemotherapeutics that might enhance or decrease the activity and metabolic effectiveness of AGT and GO, respectively, and be useful in the treatment of PH1.
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Silverio AA, Chung WY, Cheng C, Wang HL, Kung CM, Chen J, Tsai VFS. The potential of at-home prediction of the formation of urolithiasis by simple multi-frequency electrical conductivity of the urine and the comparison of its performance with urine ion-related indices, color and specific gravity. Urolithiasis 2015; 44:127-34. [PMID: 26271351 DOI: 10.1007/s00240-015-0812-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 07/30/2015] [Indexed: 11/30/2022]
Abstract
It is important to control daily diet, water intake and life style as well as monitor the quality of urine for urolithiasis prevention. For decades, many ion-related indices have been developed for predicting the formation of urinary stones or urolithiasis, such as EQUILs, relative supersaturation (RSS), Tiselius indices (TI), Robertson risk factor algorithms (RRFA) and more recently, the Bonn risk index. However, they mostly demand robust laboratory analysis, are work-intensive, and even require complex computational programs to get the concentration patterns of several urine analytes. A simple and fast platform for measuring multi-frequency electrical conductivity (MFEC) of morning spot urine (random urine) to predict the onset of urolithiasis was implemented in this study. The performance thereof was compared to ion-related indices, urine color and specific gravity. The concentrations of relevant ions, color, specific gravity (SG) and MFEC (MFEC tested at 1, 10, 100, 5001 KHz and 1 MHz) of 80 random urine samples were examined after collection. Then, the urine samples were stored at 4 °C for 24 h to determine whether sedimentation would occur or not. Ion-activity product index of calcium oxalate (AP(CaOx) EQ2) was calculated. The correlation between AP(CaOx) EQ2, urine color, SG and MFEC were analyzed. AP(CaOx) EQ2, urine color and MFEC (at 5 frequencies) all demonstrated good prediction (p = 0.01, 0.01, 0.01, respectively) for stone formation. The positive correlation between AP(CaOx) EQ2 and MFEC is also significant (p = 0.01). MFEC provides a good metric for predicting the onset of urolithiasis, which is comparable to conventional ion-related indices and urine color. This technology can be implemented with much ease for objectively monitoring the quality of urine at points-of-care or at home.
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Affiliation(s)
- Angelito A Silverio
- Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan, ROC
| | - Wen-Yaw Chung
- Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan, ROC
| | - Cheanyeh Cheng
- Department of Chemistry, Chung Yuan Christian University, Taoyuan, Taiwan, ROC
| | - Hai-Lung Wang
- Department of Medical Laboratory Science and Biotechnology, College of Biomedical Science and Technology, Yuanpei University, Hsinchu, Taiwan, ROC
| | - Chien-Min Kung
- Department of Medical Laboratory Science and Biotechnology, College of Biomedical Science and Technology, Yuanpei University, Hsinchu, Taiwan, ROC
| | - Jun Chen
- Department of Urology, West Garden Hospital, Taipei, Taiwan, ROC
| | - Vincent F S Tsai
- Department of Urology, Ten-Chen General Hospital, Taoyuan, Taiwan, ROC. .,Department of Urology, National Taiwan University Hospital, Taipei, Taiwan, ROC. .,Department of Biomedical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan, ROC.
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