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Suhag A, Kidd J, McGath M, Rajesh R, Gelfinbein J, Cacace N, Monteleone B, Chavez MR. ChatGPT: a pioneering approach to complex prenatal differential diagnosis. Am J Obstet Gynecol MFM 2023; 5:101029. [PMID: 37257586 DOI: 10.1016/j.ajogmf.2023.101029] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 05/19/2023] [Indexed: 06/02/2023]
Abstract
This commentary examines how ChatGPT can assist healthcare teams in the prenatal diagnosis of rare and complex cases by creating a differential diagnoses based on deidentified clinical findings, while also acknowledging its limitations.
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Affiliation(s)
- Anju Suhag
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, NYU Langone Hospital-Long Island, NYU Long Island School of Medicine, Mineola, NY (Drs Suhag and Kidd, Mses McGath and Cacace, and Dr Chavez).
| | - Jennifer Kidd
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, NYU Langone Hospital-Long Island, NYU Long Island School of Medicine, Mineola, NY (Drs Suhag and Kidd, Mses McGath and Cacace, and Dr Chavez)
| | - Meghan McGath
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, NYU Langone Hospital-Long Island, NYU Long Island School of Medicine, Mineola, NY (Drs Suhag and Kidd, Mses McGath and Cacace, and Dr Chavez); Department of Clinical Genetics, NYU Langone Hospital-Long Island, Mineola, NY (Mses McGath and Cacace, and Dr Monteleone)
| | - Raeshmma Rajesh
- Department of Obstetrics and Gynecology, Richmond University Medical Center, Staten Island, NY (Dr Rajesh)
| | | | - Nicole Cacace
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, NYU Langone Hospital-Long Island, NYU Long Island School of Medicine, Mineola, NY (Drs Suhag and Kidd, Mses McGath and Cacace, and Dr Chavez); Department of Clinical Genetics, NYU Langone Hospital-Long Island, Mineola, NY (Mses McGath and Cacace, and Dr Monteleone)
| | - Berrin Monteleone
- Department of Clinical Genetics, NYU Langone Hospital-Long Island, Mineola, NY (Mses McGath and Cacace, and Dr Monteleone)
| | - Martin R Chavez
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, NYU Langone Health, NYU Langone Hospital-Long Island, NYU Long Island School of Medicine, Mineola, NY (Drs Suhag and Kidd, Mses McGath and Cacace, and Dr Chavez)
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Kashevarova AA, Nazarenko LP, Skryabin NA, Salyukova OA, Chechetkina NN, Tolmacheva EN, Sazhenova EA, Magini P, Graziano C, Romeo G, Kučinskas V, Lebedev IN. Array CGH analysis of a cohort of Russian patients with intellectual disability. Gene 2014; 536:145-50. [PMID: 24291026 DOI: 10.1016/j.gene.2013.11.029] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Revised: 10/30/2013] [Accepted: 11/01/2013] [Indexed: 12/20/2022]
Abstract
The use of array comparative genomic hybridization (array CGH) as a diagnostic tool in molecular genetics has facilitated the identification of many new microdeletion/microduplication syndromes (MMSs). Furthermore, this method has allowed for the identification of copy number variations (CNVs) whose pathogenic role has yet to be uncovered. Here, we report on our application of array CGH for the identification of pathogenic CNVs in 79 Russian children with intellectual disability (ID). Twenty-six pathogenic or likely pathogenic changes in copy number were detected in 22 patients (28%): 8 CNVs corresponded to known MMSs, and 17 were not associated with previously described syndromes. In this report, we describe our findings and comment on genes potentially associated with ID that are located within the CNV regions.
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Key Words
- ABLIM3
- ACAD10
- ADHD
- AFAP1L1
- AGA
- ASTN1
- Array comparative genomic hybridization (array CGH)
- CASP3
- CGH
- CHERISH
- CNS
- CNTN6
- CNV
- Copy number variation (CNV)
- DDX10
- DEAD (Asp-Glu-Ala-Asp) box polypeptide 10
- DECIPHER
- EEG
- EU
- European Union
- FJX1
- GLRA3
- HAND2
- HFE
- ID
- IFN
- IL17B
- ING2
- IQ
- IRF1
- IRF2
- Intellectual disability
- LDLRAD3
- METTL4
- MMP14
- MMSs
- MRI
- NDC80
- NDC80 kinetochore complex component
- NEIL3
- NO
- OMIM
- PCR
- PL CNS
- PON1
- PON2
- PON3
- SBF
- SCGN
- SCRG1
- SET domain binding factor
- SLC1A2
- SLC5A7
- SLC7A7
- SMCHD1
- SUFU
- SWAP switching B-cell complex 70kDa subunit
- SWAP70
- Ski-related novel protein N
- SnoN
- TGFβ
- TNR
- TRIM44
- WAGR
- Wilms tumor, aniridia, genitourinary anomalies and mental retardation syndrome
- actin binding LIM protein family, member 3
- actin filament associated protein 1-like 1
- acyl-CoA dehydrogenase family, member 10
- aspartylglucosaminidase
- astrotactin 1
- attention-deficit hyperactivity disorder
- caspase 3, apoptosis-related cysteine peptidase
- central nervous system
- comparative genomic hybridization
- contactin 6
- copy number variation
- database of chromosomal imbalance and phenotype in humans using ensembl resources
- electroencephalogram
- four jointed box 1 (Drosophila)
- glycine receptor, alpha 3
- grant of European Community's Seventh Framework Programme
- heart and neural crest derivatives expressed 2
- hemochromatosis
- inhibitor of growth family, member 2
- intellectual disability
- intelligence quotient
- interferon
- interferon regulatory factor 1
- interferon regulatory factor 2
- interleukin 17B
- low density lipoprotein receptor class A domain containing 3
- magnetic resonance imaging
- matrix metallopeptidase 14 (membrane-inserted)
- methyltransferase like 4
- microdeletion/microduplication syndromes
- nei endonuclease VIII-like 3 (E. coli)
- nitrogen oxide
- online mendelian inheritance in man
- paraoxonase 1
- paraoxonase 2
- paraoxonase 3
- perinatal lesion of central nervous system
- polymerase chain reaction
- qPCR
- quantitative PCR
- secretagogin, EF-hand calcium binding protein
- solute carrier family 1 (glial high affinity glutamate transporter), member 2
- solute carrier family 5 (sodium/choline cotransporter), member 7
- solute carrier family 7 (amino acid transporter light chain, y+L system), member 7
- stimulator of chondrogenesis 1
- structural maintenance of chromosomes flexible hinge domain containing 1
- suppressor of fused homolog (Drosophila)
- tenascin R
- transforming growth factor beta
- tripartite motif containing 44
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Vaidutis Kučinskas
- Vilnius University, Department of Human and Medical Genetics, Vilnius, Lithuania
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Bhattacharya S, Das A, Ghosh S, Dasgupta R, Bagchi A. Hypoglycosylation of dystroglycan due to T192M mutation: a molecular insight behind the fact. Gene 2013; 537:108-14. [PMID: 24361964 DOI: 10.1016/j.gene.2013.11.071] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 11/22/2013] [Accepted: 11/23/2013] [Indexed: 01/11/2023]
Abstract
Abnormal glycosylation of dystroglycan (DG), a transmembrane glycoprotein, results in a group of diseases known as dystroglycanopathy. A severe dystroglycanopathy known as the limb girdle disease MDDGC9 [OMIM: 613818] occurs as a result of hypoglycosylation of alpha subunit of DG. Reasons behind this has been traced back to a point mutation (T192M) in DG that leads to weakening of interactions of DG protein with laminin and subsequent loss of signal flow through the DG protein. In this work we have tried to analyze the molecular details of the interactions between DG and laminin1 in order to propose a mechanism about the onset of the disease MDDGC9. We have observed noticeable changes between the modeled structures of wild type and mutant DG proteins. We also have employed molecular docking techniques to study and compare the binding interactions between laminin1 and both the wild type and mutant DG proteins. The docking simulations have revealed that the mutant DG has weaker interactions with laminin1 as compared to the wild type DG. Till date there are no previous reports that deal with the elucidation of the interactions of DG with laminin1 from the molecular level. Our study is therefore the first of its kind which analyzes the differences in binding patterns of laminin1 with both the wild type and mutant DG proteins. Our work would therefore facilitate analysis of the molecular mechanism of the disease MDDGC9. Future work based on our results may be useful for the development of suitable drugs against this disease.
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Affiliation(s)
- Simanti Bhattacharya
- Department of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia - 741235 WB, India
| | - Amit Das
- Department of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia - 741235 WB, India
| | - Semanti Ghosh
- Department of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia - 741235 WB, India
| | - Rakhi Dasgupta
- Department of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia - 741235 WB, India.
| | - Angshuman Bagchi
- Department of Biochemistry and Biophysics, University of Kalyani, Kalyani, Nadia - 741235 WB, India.
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