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Parker M, Zheng Z, Lasarev MR, Larsen MC, Vande Loo A, Alexandridis RA, Newton MA, Shelef MA, McCoy SS. Novel autoantibodies help diagnose anti-SSA antibody negative Sjögren disease and predict abnormal labial salivary gland pathology. Ann Rheum Dis 2024; 83:1169-1180. [PMID: 38702176 DOI: 10.1136/ard-2023-224936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 04/11/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES Sjögren disease (SjD) diagnosis often requires either positive anti-SSA antibodies or a labial salivary gland biopsy with a positive focus score (FS). One-third of patients with SjD lack anti-SSA antibodies (SSA-), requiring a positive FS for diagnosis. Our objective was to identify novel autoantibodies to diagnose 'seronegative' SjD. METHODS IgG binding to a high-density whole human peptidome array was quantified using sera from SSA- SjD cases and matched non-autoimmune controls. We identified the highest bound peptides using empirical Bayesian statistical filters, which we confirmed in an independent cohort comprising SSA- SjD (n=76), sicca-controls without autoimmunity (n=75) and autoimmune-feature controls (SjD features but not meeting SjD criteria; n=41). In this external validation, we used non-parametric methods for binding abundance and controlled false discovery rate in group comparisons. For predictive modelling, we used logistic regression, model selection methods and cross-validation to identify clinical and peptide variables that predict SSA- SjD and FS positivity. RESULTS IgG against a peptide from D-aminoacyl-tRNA deacylase (DTD2) bound more in SSA- SjD than sicca-controls (p=0.004) and combined controls (sicca-controls and autoimmune-feature controls combined; p=0.003). IgG against peptides from retroelement silencing factor-1 and DTD2 were bound more in FS-positive than FS-negative participants (p=0.010; p=0.012). A predictive model incorporating clinical variables showed good discrimination between SjD versus control (area under the curve (AUC) 74%) and between FS-positive versus FS-negative (AUC 72%). CONCLUSION We present novel autoantibodies in SSA- SjD that have good predictive value for SSA- SjD and FS positivity.
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Affiliation(s)
- Maxwell Parker
- Department of Medicine, University of Wisconsin School of Medicine and Health, Madison, Wisconsin, USA
| | - Zihao Zheng
- Department of Medicine, University of Wisconsin School of Medicine and Health, Madison, Wisconsin, USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Michael R Lasarev
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Michele C Larsen
- Department of Medicine, University of Wisconsin School of Medicine and Health, Madison, Wisconsin, USA
| | - Addie Vande Loo
- Department of Medicine, University of Wisconsin School of Medicine and Health, Madison, Wisconsin, USA
| | - Roxana A Alexandridis
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Michael A Newton
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Miriam A Shelef
- Department of Medicine, University of Wisconsin School of Medicine and Health, Madison, Wisconsin, USA
- William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin, USA
| | - Sara S McCoy
- Department of Medicine, University of Wisconsin School of Medicine and Health, Madison, Wisconsin, USA
- Department of Medicine, University of Wisconsin Carbone Comprehensive Cancer Center, Madison, Wisconsin, USA
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Lejeune C, Cornu D, Sago L, Redeker V, Virolle MJ. The stringent response is strongly activated in the antibiotic producing strain, Streptomyces coelicolor. Res Microbiol 2024; 175:104177. [PMID: 38159786 DOI: 10.1016/j.resmic.2023.104177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
Abstract
S. lividans and S. coelicolor are phylogenetically closely related strains with different abilities to produce the same specialized metabolites. Previous studies revealed that the strong antibiotic producer, S. coelicolor, had a lower ability to assimilate nitrogen and phosphate than the weak producer, Streptomyces lividans, and this resulted into a lower growth rate. A comparative proteomic dataset was used to establish the consequences of these nutritional stresses on the abundance of proteins of the translational apparatus of these strains, grown in low and high phosphate availability. Our study revealed that most proteins of the translational apparatus were less abundant in S. coelicolor than in S. lividans whereas it was the opposite for ET-Tu 3 and a TrmA-like methyltransferase. The expression of the latter being known to be under the positive control of the stringent response whereas that of the other ribosomal proteins is under its negative control, this indicated the occurrence of a strong activation of the stringent response in S. coelicolor. Furthermore, in S. lividans, ribosomal proteins were more abundant in phosphate proficiency than in phosphate limitation suggesting that a limitation in phosphate, that was also shown to trigger RelA expression, contributes to the induction of the stringent response.
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Affiliation(s)
- Clara Lejeune
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France.
| | - David Cornu
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France.
| | - Laila Sago
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France.
| | - Virginie Redeker
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France; Institut Francois Jacob, Molecular Imaging Center (MIRCen), Laboratory of Neurodegenerative Diseases, Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique, Université Paris-Saclay, Fontenay-aux-Roses, France.
| | - Marie-Joelle Virolle
- Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France.
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Kumar P, Sankaranarayanan R. When Paul Berg meets Donald Crothers: an achiral connection through protein biosynthesis. Nucleic Acids Res 2024; 52:2130-2141. [PMID: 38407292 PMCID: PMC10954443 DOI: 10.1093/nar/gkae117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/02/2024] [Accepted: 02/09/2024] [Indexed: 02/27/2024] Open
Abstract
Outliers in scientific observations are often ignored and mostly remain unreported. However, presenting them is always beneficial since they could reflect the actual anomalies that might open new avenues. Here, we describe two examples of the above that came out of the laboratories of two of the pioneers of nucleic acid research in the area of protein biosynthesis, Paul Berg and Donald Crothers. Their work on the identification of D-aminoacyl-tRNA deacylase (DTD) and 'Discriminator hypothesis', respectively, were hugely ahead of their time and were partly against the general paradigm at that time. In both of the above works, the smallest and the only achiral amino acid turned out to be an outlier as DTD can act weakly on glycine charged tRNAs with a unique discriminator base of 'Uracil'. This peculiar nature of glycine remained an enigma for nearly half a century. With a load of available information on the subject by the turn of the century, our work on 'chiral proofreading' mechanisms during protein biosynthesis serendipitously led us to revisit these findings. Here, we describe how we uncovered an unexpected connection between them that has implications for evolution of different eukaryotic life forms.
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Affiliation(s)
- Pradeep Kumar
- CSIR–Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India
| | - Rajan Sankaranarayanan
- CSIR–Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad 500007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad- 201002, India
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Parker M, Zheng Z, Lasarev M, Alexandridis RA, Newton MA, Shelef MA, McCoy SS. Novel autoantibodies help diagnose anti-SSA antibody negative Sjögren's disease and predict abnormal labial salivary gland pathology. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.29.23294775. [PMID: 37693588 PMCID: PMC10491389 DOI: 10.1101/2023.08.29.23294775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Objectives Sj□gren's disease (SjD) diagnosis requires either positive anti-SSA antibodies or a labial salivary gland biopsy with a positive focus score (FS). One-third of SjD patients lack anti-SSA antibodies (SSA-), requiring a positive FS for diagnosis. Our objective was to identify novel autoantibodies to diagnose 'seronegative' SjD. Methods IgG binding to a high density whole human peptidome array was quantified using sera from SSA- SjD cases and matched non-autoimmune controls. We identified the highest bound peptides using empirical Bayesian statistical filters, which we confirmed in an independent cohort comprising SSA- SjD (n=76), sicca controls without autoimmunity (n=75), and autoimmune controls (SjD features but not meeting SjD criteria; n=41). In this external validation, we used non-parametric methods for peptide abundance and controlled false discovery rate in group comparisons. For predictive modeling, we used logistic regression, model selection methods, and cross-validation to identify clinical and peptide variables that predict SSA- SjD and FS positivity. Results IgG against a peptide from D-aminoacyl-tRNA deacylase (DTD2) was bound more in SSA- SjD than sicca controls (p=.004) and more than combined controls (sicca and autoimmune controls combined; p=0.003). IgG against peptides from retroelement silencing factor-1 (RESF1) and DTD2, were bound more in FS-positive than FS-negative participants (p=.010; p=0.012). A predictive model incorporating clinical variables showed good discrimination between SjD versus control (AUC 74%) and between FS-positive versus FS-negative (AUC 72%). Conclusion We present novel autoantibodies in SSA- SjD that have good predictive value for SSA- SjD and FS-positivity. KEY MESSAGES What is already known on this topic - Seronegative (anti-SSA antibody negative [SSA-]) Sjögren's disease (SjD) requires a labial salivary gland biopsy for diagnosis, which is challenging to obtain and interpret. What this study adds - We identified novel autoantibodies in SSA- SjD that, when combined with readily available clinical variables, provide good predictive ability to discriminate 1) SSA- SjD from control participants and 2) abnormal salivary gland biopsies from normal salivary gland biopsies. How this study might affect research, practice or policy - This study provides novel diagnostic antibodies addressing the critical need for improvement of SSA- SjD diagnostic tools.
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Wu XQ, Feng PQ, Guo Z, Wei X. Water-Stable 1D Double-Chain Cu Metal-Organic Framework-based Electrochemical Biosensor for Detecting l-Tyrosine. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2020; 36:14123-14129. [PMID: 33180511 DOI: 10.1021/acs.langmuir.0c02799] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
An electrochemical biosensor based on a water-stable one-dimensional double-chain Cu(II) metal-organic framework (Cu-MOF) directly was constructed for efficiently recognizing l-tyrosine (l-Tyr) in biomimic environments. Cu-MOF: {[Cu(bpe)(fdc) (H2O)(DMF)]·0.5H2O}n (bpe = 1,2-di(4-pyridyl)ethylene, H2fdc = 2,5-furandicarboxylic acid, namely, Cu-1) was synthesized by a hydrothermal method. It was characterized by IR, scanning electron microscopy, atomic force microscopy, and PXRD techniques. Cu-1 exhibited extreme solvent and thermal stability as well as excellent electroconductive character. It was coated on a glassy carbon electrode (GCE) surface to prepare an electrochemical biosensor (Cu-1/GCE) which showed preferable biosensing ability toward l-Tyr. This Cu-MOF electrochemical biosensor showed simple operation and high sensitivity toward l-Tyr in the concentration range from 0.01 to 0.09 mM. The detection limit is 5.822 μM. Furthermore, Cu-1/GCE showed extremely excellent selectivity to l-Tyr in a biomimic environment with several amino acid interferents. This new strategy exhibits great potential applications for designing MOFs with excellent electrochemical activity.
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Affiliation(s)
- Xiao-Qin Wu
- Scientific Instrument Center, Shanxi University, Taiyuan 030006, China
- Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Nankai University, Tianjin 300071, China
| | - Pei-Qi Feng
- Scientific Instrument Center, Shanxi University, Taiyuan 030006, China
| | - Zhiqiang Guo
- Scientific Instrument Center, Shanxi University, Taiyuan 030006, China
| | - Xuehong Wei
- Scientific Instrument Center, Shanxi University, Taiyuan 030006, China
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Substrate-assisted mechanism of catalytic hydrolysis of misaminoacylated tRNA required for protein synthesis fidelity. Biochem J 2019; 476:719-732. [PMID: 30718305 DOI: 10.1042/bcj20180910] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 01/28/2019] [Accepted: 02/01/2019] [Indexed: 11/17/2022]
Abstract
d-aminoacyl-tRNA-deacylase (DTD) prevents the incorporation of d-amino acids into proteins during translation by hydrolyzing the ester bond between mistakenly attached amino acids and tRNAs. Despite extensive study of this proofreading enzyme, the precise catalytic mechanism remains unknown. Here, a combination of biochemical and computational investigations has enabled the discovery of a new substrate-assisted mechanism of d-Tyr-tRNATyr hydrolysis by Thermus thermophilus DTD. Several functional elements of the substrate, misacylated tRNA, participate in the catalysis. During the hydrolytic reaction, the 2'-OH group of the А76 residue of d-Tyr-tRNATyr forms a hydrogen bond with a carbonyl group of the tyrosine residue, stabilizing the transition-state intermediate. Two water molecules participate in this reaction, attacking and assisting ones, resulting in a significant decrease in the activation energy of the rate-limiting step. The amino group of the d-Tyr aminoacyl moiety is unprotonated and serves as a general base, abstracting the proton from the assisting water molecule and forming a more nucleophilic ester-attacking species. Quantum chemical methodology was used to investigate the mechanism of hydrolysis. The DFT-calculated deacylation reaction is in full agreement with the experimental data. The Gibbs activation energies for the first and second steps were 10.52 and 1.05 kcal/mol, respectively, highlighting that the first step of the hydrolysis process is the rate-limiting step. Several amino acid residues of the enzyme participate in the coordination of the substrate and water molecules. Thus, the present work provides new insights into the proofreading details of misacylated tRNAs and can be extended to other systems important for translation fidelity.
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Vo MN, Terrey M, Lee JW, Roy B, Moresco JJ, Sun L, Fu H, Liu Q, Weber TG, Yates JR, Fredrick K, Schimmel P, Ackerman SL. ANKRD16 prevents neuron loss caused by an editing-defective tRNA synthetase. Nature 2018; 557:510-515. [PMID: 29769718 PMCID: PMC5973781 DOI: 10.1038/s41586-018-0137-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 04/09/2018] [Indexed: 11/29/2022]
Abstract
Editing domains of aminoacyl tRNA synthetases correct tRNA charging errors to maintain translational fidelity. A mutation in the editing domain of alanyl tRNA synthetase (AlaRS) in Aars sti mutant mice results in an increase in the production of serine-mischarged tRNAAla and the degeneration of cerebellar Purkinje cells. Here, using positional cloning, we identified Ankrd16, a gene that acts epistatically with the Aars sti mutation to attenuate neurodegeneration. ANKRD16, a vertebrate-specific protein that contains ankyrin repeats, binds directly to the catalytic domain of AlaRS. Serine that is misactivated by AlaRS is captured by the lysine side chains of ANKRD16, which prevents the charging of serine adenylates to tRNAAla and precludes serine misincorporation in nascent peptides. The deletion of Ankrd16 in the brains of Aarssti/sti mice causes widespread protein aggregation and neuron loss. These results identify an amino-acid-accepting co-regulator of tRNA synthetase editing as a new layer of the machinery that is essential to the prevention of severe pathologies that arise from defects in editing.
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Affiliation(s)
- My-Nuong Vo
- The Skaggs Institute for Chemical Biology, Department of Molecular Medicine, Scripps Research Institute, La Jolla, CA, USA
| | - Markus Terrey
- Howard Hughes Medical Institute, Department of Cellular and Molecular Medicine, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Section of Neurobiology, University of California San Diego, La Jolla, CA, USA
- Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, USA
- The Jackson Laboratory, Bar Harbor, ME, USA
| | - Jeong Woong Lee
- The Jackson Laboratory, Bar Harbor, ME, USA
- Korea Research Institute of Bioscience and Biotechnology, Daejeon, South Korea
| | - Bappaditya Roy
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
- Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - James J Moresco
- Department of Chemical Physiology, Scripps Research Institute, La Jolla, CA, USA
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Litao Sun
- The Skaggs Institute for Chemical Biology, Department of Molecular Medicine, Scripps Research Institute, La Jolla, CA, USA
| | - Hongjun Fu
- The Jackson Laboratory, Bar Harbor, ME, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Qi Liu
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
- Center for RNA Biology, The Ohio State University, Columbus, OH, USA
- Ohio State Biochemistry Program, The Ohio State University, Columbus, OH, USA
- Sharklet Technologies, Aurora, CO, USA
| | | | - John R Yates
- Department of Chemical Physiology, Scripps Research Institute, La Jolla, CA, USA
| | - Kurt Fredrick
- Department of Microbiology, The Ohio State University, Columbus, OH, USA
- Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - Paul Schimmel
- The Skaggs Institute for Chemical Biology, Department of Molecular Medicine, Scripps Research Institute, La Jolla, CA, USA.
- The Scripps Research Institute, Jupiter, FL, USA.
| | - Susan L Ackerman
- Howard Hughes Medical Institute, Department of Cellular and Molecular Medicine, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Section of Neurobiology, University of California San Diego, La Jolla, CA, USA.
- Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, USA.
- The Jackson Laboratory, Bar Harbor, ME, USA.
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