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Tripathi MK, Ojha SK, Kartawy M, Hamoudi W, Choudhary A, Stern S, Aran A, Amal H. The NO Answer for Autism Spectrum Disorder. Adv Sci (Weinh) 2023:e2205783. [PMID: 37212048 PMCID: PMC10401098 DOI: 10.1002/advs.202205783] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/19/2023] [Indexed: 05/23/2023]
Abstract
Autism spectrum disorders (ASDs) include a wide range of neurodevelopmental disorders. Several reports showed that mutations in different high-risk ASD genes lead to ASD. However, the underlying molecular mechanisms have not been deciphered. Recently, they reported a dramatic increase in nitric oxide (NO) levels in ASD mouse models. Here, they conducted a multidisciplinary study to investigate the role of NO in ASD. High levels of nitrosative stress biomarkers are found in both the Shank3 and Cntnap2 ASD mouse models. Pharmacological intervention with a neuronal NO synthase (nNOS) inhibitor in both models led to a reversal of the molecular, synaptic, and behavioral ASD-associated phenotypes. Importantly, treating iPSC-derived cortical neurons from patients with SHANK3 mutation with the nNOS inhibitor showed similar therapeutic effects. Clinically, they found a significant increase in nitrosative stress biomarkers in the plasma of low-functioning ASD patients. Bioinformatics of the SNO-proteome revealed that the complement system is enriched in ASD. This novel work reveals, for the first time, that NO plays a significant role in ASD. Their important findings will open novel directions to examine NO in diverse mutations on the spectrum as well as in other neurodevelopmental disorders. Finally, it suggests a novel strategy for effectively treating ASD.
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Affiliation(s)
- Manish Kumar Tripathi
- Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Shashank Kumar Ojha
- Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Maryam Kartawy
- Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Wajeha Hamoudi
- Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Ashwani Choudhary
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, 31905, Israel
| | - Shani Stern
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, 31905, Israel
| | - Adi Aran
- Neuropediatric Unit, Shaare Zedek Medical Center, Jerusalem, 91031, Israel
- Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Haitham Amal
- Institute for Drug Research, School of Pharmacy, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
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Hertz U, Bell V, Raihani N. Trusting and learning from others: immediate and long-term effects of learning from observation and advice. Proc Biol Sci 2021; 288:20211414. [PMID: 34666522 PMCID: PMC8527195 DOI: 10.1098/rspb.2021.1414] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 09/29/2021] [Indexed: 11/16/2022] Open
Abstract
Social learning underpins our species's extraordinary success. Learning through observation has been investigated in several species, but learning from advice-where information is intentionally broadcast-is less understood. We used a pre-registered, online experiment (n = 1492) combined with computational modelling to examine learning through observation and advice. Participants were more likely to immediately follow advice than to copy an observed choice, but this was dependent upon trust in the adviser: highly paranoid participants were less likely to follow advice in the short term. Reinforcement learning modelling revealed two distinct patterns regarding the long-term effects of social information: some individuals relied fully on social information, whereas others reverted to trial-and-error learning. This variation may affect the prevalence and fidelity of socially transmitted information. Our results highlight the privileged status of advice relative to observation and how the assimilation of intentionally broadcast information is affected by trust in others.
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Affiliation(s)
- Uri Hertz
- Department of Cognitive Sciences, University of Haifa, Haifa, Israel
| | - Vaughan Bell
- Department of Clinical, Education and Health Psychology, University College London, London, UK
| | - Nichola Raihani
- Department of Experimental Psychology, University College London, WC1H 0AP, London, UK
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Freche D, Naim-Feil J, Hess S, Peled A, Grinshpoon A, Moses E, Levit-Binnun N. Phase-Amplitude Markers of Synchrony and Noise: A Resting-State and TMS-EEG Study of Schizophrenia. Cereb Cortex Commun 2020; 1:tgaa013. [PMID: 34296092 PMCID: PMC8152916 DOI: 10.1093/texcom/tgaa013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 04/30/2020] [Indexed: 01/01/2023] Open
Abstract
The electroencephalogram (EEG) of schizophrenia patients is known to exhibit a reduction of signal-to-noise ratio and of phase locking, as well as a facilitation of excitability, in response to a variety of external stimuli. Here, we demonstrate these effects in transcranial magnetic stimulation (TMS)-evoked potentials and in the resting-state EEG. To ensure veracity, we used 3 weekly sessions and analyzed both resting-state and TMS-EEG data. For the TMS responses, our analysis verifies known results. For the resting state, we introduce the methodology of mean-normalized variation to the EEG analysis (quartile-based coefficient of variation), which allows for a comparison of narrow-band EEG amplitude fluctuations to narrow-band Gaussian noise. This reveals that amplitude fluctuations in the delta, alpha, and beta bands of healthy controls are different from those in schizophrenia patients, on time scales of tens of seconds. We conclude that the EEG-measured cortical activity patterns of schizophrenia patients are more similar to noise, both in alpha- and beta-resting state and in TMS responses. Our results suggest that the ability of neuronal populations to form stable, locally, and temporally correlated activity is reduced in schizophrenia, a conclusion, that is, in accord with previous experiments on TMS-EEG and on resting-state EEG.
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Affiliation(s)
- Dominik Freche
- Sagol Center of Brain and Mind, Ivcher School of Psychology, Interdisciplinary Center (IDC), Herzliya 4610101, Israel
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Jodie Naim-Feil
- Sagol Center of Brain and Mind, Ivcher School of Psychology, Interdisciplinary Center (IDC), Herzliya 4610101, Israel
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel
- Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton 3800, Australia
| | - Shmuel Hess
- Geha Mental Health Center, Petah Tikvah 49100, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Avraham Peled
- Rappaport Faculty of Medicine, Technion, Haifa 3200003, Israel
- Institute for Psychiatric Studies, Shaar Menashe Mental Health Center, Menashe 38814, Pardes Hanna-Karkur, Israel
| | - Alexander Grinshpoon
- Rappaport Faculty of Medicine, Technion, Haifa 3200003, Israel
- Institute for Psychiatric Studies, Shaar Menashe Mental Health Center, Menashe 38814, Pardes Hanna-Karkur, Israel
| | - Elisha Moses
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Nava Levit-Binnun
- Sagol Center of Brain and Mind, Ivcher School of Psychology, Interdisciplinary Center (IDC), Herzliya 4610101, Israel
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