Article
Psychiatry
Yu Zhou, Jing Gao
Summary: This study used machine learning models to identify suspected cases of ASD, and found that certain crucial genes in the cuproptosis signaling pathway may be associated with ASD. The results suggest the potential importance of cuproptosis in the pathogenesis and early identification of ASD.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Engineering, Electrical & Electronic
Sima Aminoleslami, Keivan Maghooli, Negar Sammaknejad, Siamak Haghipour, Vahid Sadeghi-Firoozabadi
Summary: With the rising incidents of autism, early diagnosis is crucial and dependent on accurate decisions made by specialists. Due to the limited number of specialists, the development of an efficient classification system is necessary. This study aims to classify autistic and normal children by analyzing eye-tracking data obtained from computer games.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Article
Medicine, General & Internal
Noor B. Almandil, Maram Adnan Alismail, Hind Saleh Alsuwat, Abdulla AlSulaiman, Sayed AbdulAzeez, J. Francis Borgio
Summary: This study identified the significant genes and single nucleotide polymorphisms (SNPs) associated with increased risk of autism spectrum disorder (ASD) in Saudi females. The findings provide insight for early diagnosis of ASD.
FRONTIERS IN MEDICINE
(2023)
Article
Psychology, Developmental
Allison R. Hickman, Bradley Selee, Rini Pauly, Benafsh Husain, Yuqing Hang, Frank Alex Feltus
Summary: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by challenges in social communication as well as repetitive or restrictive behaviors. Genetic associations with ASD have been identified, but mostly in a small fraction of the ASD population. This study found several DNA variants associated with ASD that showed significant allele distribution differences and regulation of gene expression in the brain. These eQTLs could serve as biomarkers to control the diverse phenotypic traits observed in ASD-affected individuals.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2023)
Article
Behavioral Sciences
Mindi Ruan, Paula J. Webster, Xin Li, Shuo Wang
Summary: The study utilized machine learning to classify photos taken by individuals with ASD or without ASD, showing that photos taken by individuals with ASD contained less salient objects, especially in the central visual field. This reveals a novel method capable of discerning photos taken by individuals with ASD and demonstrating aberrant visual attention in ASD from a unique first-person perspective.
Article
Computer Science, Artificial Intelligence
Habib Adabi Ardakani, Maryam Taghizadeh, Farzaneh Shayegh
Summary: This paper presents a method for diagnosing autism based on EEG signal analysis. By dividing the signals from individuals with autism and healthy individuals into images and using a 2D-DCNN for classification, high accuracy in diagnosis is achieved. To address the issue of limited data, an image mixing method is used for data augmentation.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Rasha Kashef
Summary: This paper applies deep learning to identify autism spectrum disorder (ASD) patients from a large brain imaging dataset, showing that the disruption in brain connectivity between brain regions is a primary evidence of ASD. The proposed enhanced CNN achieves an accuracy of up to 80%.
COGNITIVE SYSTEMS RESEARCH
(2022)
Review
Pharmacology & Pharmacy
Emma T. van der Westhuizen
Summary: Autism is a neurodevelopmental condition that varies in symptoms and severity among individuals. Genetic sequencing has identified mutations in autistic individuals, particularly in genes encoding G protein-coupled receptors (GPCRs), which are proteins that transmit messages from outside the cell to the inside. Mutations in GPCRs can disrupt their function and signaling in the brain. This review summarizes the current understanding of how single nucleotide variations in GPCRs impact their function and contribute to autism.
BRITISH JOURNAL OF PHARMACOLOGY
(2023)
Review
Immunology
Shigeru Yokoyama
Summary: BST-1/CD157 is an immune/inflammatory regulator that acts as both an ectoenzyme and a cell-surface signaling receptor. It is expressed in peripheral tissues as well as the central nervous system (CNS). Clinical genetic studies have shown connections between BST-1/CD157 and neuropsychiatric disorders such as Parkinson's disease, autism spectrum disorders, sleep disorders, depressive disorders, and restless leg syndrome. This review summarizes the evidence for the involvement of BST-1/CD157 in these disorders.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Computer Science, Hardware & Architecture
R. Abitha, S. Mary Vennila, I. Mohamed Zaheer
Summary: This paper presents a method for data classification using artificial neural networks, and uses evolutionary cultural algorithms to optimize the weights in the network for improved accuracy. The proposed model is tested using three benchmark datasets for autism screening and outperforms other algorithms in terms of precision, accuracy, sensitivity, and specificity.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Biology
Chunde Yang, Panyu Wang, Jia Tan, Qingshui Liu, Xinwei Li
Summary: This study proposed a new method that achieved promising classification results in diagnosing autism spectrum disorder and demonstrated the impact of different functional brain network structures on the diagnostic outcomes. Through experimental comparisons, the PSCR method showed significant advantages in ASD diagnosis.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Computer Science, Information Systems
Amna Hendr, Umar Ozgunalp, Meryem Erbilek Kaya
Summary: The early diagnosis of autism spectrum disorder (ASD) has been a significant challenge for the medical community. This research proposes the use of a handwritten dataset and deep learning classification for the early diagnosis of ASD. Results show that using handwritten tasks has a potential for accurate ASD diagnosis.
Review
Genetics & Heredity
Yulian Fang, Yaqiong Cui, Zhaoqing Yin, Mengzhu Hou, Pan Guo, Hanjie Wang, Nan Liu, Chunquan Cai, Mingbang Wang
Summary: This study conducted a systematic review and meta-analysis on the association between genetic variants and autism spectrum disorder (ASD) risk. The results revealed significant associations between certain single nucleotide polymorphisms (SNPs) of candidate genes, including CNTNAP2, MTHFR, OXTR, and VDR, and increased ASD risk.
Article
Multidisciplinary Sciences
Masud Rabbani, Munirul M. Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed
Summary: This study aimed to evaluate the behavioral patterns of children with ASD during and after the COVID-19 lockdown, and found that support in the areas of problematic behavior could mitigate future risks.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Biomedical
Davide Borra, Elisa Magosso, Miguel Castelo-Branco, Marco Simoes
Summary: This study demonstrates that a CNN can be designed to accurately and interpretably decode P300, with optimized designs depending on the training conditions. The ICNN showed higher performance in different training strategies, providing an intuitive interpretation of P300 spectral and spatial features to better capture the neural signatures of ASD.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Otorhinolaryngology
Yalda Jabbari Moghadam, Mohammad Reza Asadi, Vahdat Abbaszadeh, Jalal Gharesouran, Hossein Dehghani, Hani Sabaie, Bashdar Mahmud Hussen, Mohammad Taheri, Nader Akbari Dilmaghnai, Maryam Rezazadeh
Summary: Sudden Sensorineural Hearing Loss (SSNHL) is a common health problem with significant impact on quality of life. This study examined the expression levels of NFKB1 and NFKB2 in SSNHL patients and healthy individuals, and found that NFKB2 expression levels were higher in patients, while NFKB1 expression levels did not differ significantly. The study also revealed a strong positive correlation between the expression levels of NFKB1 and NFKB2, indicating an interconnected network. These findings suggest that NFKB2 is a significant inflammatory factor in the pathophysiology of SSNHL.
INTERNATIONAL JOURNAL OF PEDIATRIC OTORHINOLARYNGOLOGY
(2023)
Article
Cell Biology
Mohammad Taheri, Arash Safarzadeh, Arefe Bahranian, Solat Eslami, Nader Akbari Dilmaghani, Soudeh Ghafouri-Fard, Guive Sharifi
Summary: In this study, the expression levels of six lncRNAs were evaluated in Iranian patients with NFPA. MAPKAPK5-AS1, PXN-AS1, and URB1-AS1 were found to be overexpressed in NFPA tissues. Furthermore, the relative expression levels of PXN-AS1 were associated with tumor subtype, while MAPKAPK5-AS1 and LIFR-AS1 were associated with patient gender. These findings suggest a potential role of MAPKAPK5-AS1, PXN-AS1, and URB1-AS1 in the pathogenesis of NFPAs.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2023)
Review
Cell Biology
Soudeh Ghafouri-Fard, Arian Askari, Bashdar Mahmud Hussen, Mohammad Taheri, Arda Kiani
Summary: Sarcopenia is a disease characterized by muscle atrophy and frailty in older adults, with the underlying molecular mechanisms still unclear. Noncoding RNAs, particularly microRNAs and long noncoding RNAs, have been identified as playing a role in the development and progression of sarcopenia. This manuscript reviews the current understanding of their involvement and discusses their potential as therapeutic targets.
JOURNAL OF CELLULAR PHYSIOLOGY
(2023)
Review
Neurosciences
Soudeh Ghafouri-Fard, Ashkan Pourtavakoli, Bashdar Mahmud Hussen, Mohammad Taheri, Seyed Abdulmajid Ayatollahi
Summary: Autism spectrum disorder (ASD) is a common neurodevelopmental disease, affecting approximately 1 in 59 individuals. The disorder is genetically heterogeneous, with both inheritable and de novo mutations in several genes playing a role. The review discusses the different types of mutations, including missense and nonsense mutations, as well as copy number variations, found in individuals affected by ASD.
MOLECULAR NEUROBIOLOGY
(2023)
Review
Pathology
Mohammad Taheri, Bashdar Mahmud Hussen, Snur Rasool Abdullah, Soudeh Ghafouri-Fard, Elena Jamali, Seyedpouzhia Shojaei
Summary: Wilms tumor, the most common pediatric kidney tumor, is associated with dysregulation of non-coding RNAs. Dysregulated miRNAs such as miR-200c, miR-155-5p, miR-1180, miR-22-3p, miR-483-5p, miR-140-5p, miR-92a-3p, miR-483-3p, miR-572, miR-539, and miR-613, as well as dysregulated long non-coding RNAs including CRNDE, XIST, SNHG6, MEG3, LINC00667, MEG8, DLGAP1-AS2, and SOX21-AS1, have been identified in this tumor. Additionally, circCDYL is down-regulated, while circ0093740 and circSLC7A6 are up-regulated in Wilms tumor. These dysregulated transcripts offer new insights into understanding the pathogenesis and developing targeted therapies for this pediatric tumor.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Article
Pathology
Soudeh Ghafouri-Fard, Yadollah Poornajaf, Bashdar Mahmud Hussen, Shiva Tavakkoli Avval, Mohammad Taheri, Majid Mokhtari
Summary: The Hippo pathway plays a crucial role in regulating organ size, homeostasis, and tumorigenesis. It is involved in lung carcinogenesis through various mechanisms, including the interaction between miRNAs and the Hippo pathway. Non-coding RNAs such as PVT1, SFTA1P, NSCLCAT1, and circ_0067741 are also implicated in this process. Furthermore, several anti-cancer agents can modulate the Hippo pathway to exert their anti-cancer effects in lung cancer. This article summarizes recent studies on the role of Hippo signaling in lung cancer progression, the impact of non-coding RNAs on this pathway, and the effects of anti-cancer agents.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Review
Pathology
Soudeh Ghafouri-Fard, Arian Askari, Kimia Behzad Moghadam, Bashdar Mahmud Hussen, Mohammad Taheri, Mohammad Samadian
Summary: ZEB1-AS1 is a long non-coding RNA that plays important regulatory roles on its related gene, ZEB1. It has been implicated in various malignancies and non-malignant conditions. This review highlights the diverse molecular mechanisms of ZEB1-AS1 in different disorders and emphasizes its significance in their pathogenesis.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Article
Endocrinology & Metabolism
Soudeh Ghafouri-Fard, Sara Ahmadi Teshnizi, Shahryar Azizi, Solat Eslami, Mohammad Taheri, Fariborz Rashnoo
Summary: Obesity is a global problem influenced by genetic factors. The study found an association between the GRM7 gene and obesity.
METABOLIC BRAIN DISEASE
(2023)
Review
Pathology
Soudeh Ghafouri-Fard, Hamed Shoorei, Toofan Sabernia, Bashdar Mahmud Hussen, Mohammad Taheri, Hasan Pourmoshtagh
Summary: CircRNAs play an important role in immune-related disorders by regulating immune system function and contributing to pathophysiology.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Article
Pathology
Soudeh Ghafouri-Fard, Hamed Shoorei, Leili Noferesti, Bashdar Mahmud Hussen, Mohammad Hossein Behzad Moghadam, Mohammad Taheri, Fariborz Rashnoo
Summary: miRNA-loaded nanoparticles have been used for the treatment of various disorders, particularly cancers, ischemic stroke, and pulmonary fibrosis. The wide range application of this type of therapy is based on the important roles of miRNAs in regulating cell behavior. The ability of miRNAs to inhibit or increase gene expression gives them an advantage over other therapies.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Article
Pathology
Lina Moallemi Rad, Arash Safarzadeh, Mohammad Taheri, Soudeh Ghafouri-Fard, Ahmad Eghbali
Summary: In this study, an in-silico approach was developed to identify the RNA network in breast cancer, which revealed differentially expressed mRNAs, lncRNAs, and miRNAs. Pathway analysis indicated the involvement of various pathways in breast cancer. Furthermore, a ceRNA network consisting of lncRNAs, mRNAs, and miRNAs was constructed, suggesting its potential as a target for anti-cancer therapy and identification of novel markers for breast cancer.
PATHOLOGY RESEARCH AND PRACTICE
(2023)
Review
Biochemistry & Molecular Biology
Soudeh Ghafouri-Fard, Hamed Shoorei, Shahram Dabiri Oskuei, Bashdar Mahmud Hussen, Snur Rasool Abdullah, Mohammad Taheri, Elena Jamali
Summary: Toxic agents exist widely in the environment, households, and workplaces. Their contamination in food and drinking water leads to their entry into the body, where they interact with microRNAs (miRNAs), influencing the etiology of various disorders. These agents can alter redox status, release inflammatory cytokines, and affect mitochondrial function. Dysregulation of miRNA expression is implicated in the development of pathological conditions and signaling pathways, while also playing a role in environmental adaptation. Therefore, the interactions between miRNAs and toxic materials contribute to the detrimental effects on human health.
NON-CODING RNA RESEARCH
(2023)
Review
Oncology
Soudeh Ghafouri-Fard, Arian Askari, Bashdar Mahmud Hussen, Mohammad Taheri, Nader Akbari Dilmaghani
Summary: miR-424 is a miRNA involved in the carcinogenic process, with its expression being found to be up-regulated or down-regulated in various cancers. Its expression is regulated by the methylation status of its promoter, and it is also regulated by several long non-coding RNAs. Additionally, miR-424 is involved in the regulation of E2F transcription factors. This review aims to summarize the role of miR-424 in cancer evolution and its impact on clinical outcomes, in order to identify potential markers for malignancies.
CLINICAL & TRANSLATIONAL ONCOLOGY
(2023)
Article
Dentistry, Oral Surgery & Medicine
Hossein Mohammad-Rahimi, Seyed AmirHossein Ourang, Mohamad Amin Pourhoseingholi, Omid Dianat, Paul Michael Howell Dummer, Ali Nosrat
Summary: This study evaluated and compared the validity and reliability of responses provided by GPT-3.5, Google Bard, and Bing to frequently asked questions in the field of endodontics. The findings showed that GPT-3.5 provided more credible information compared to Google Bard and Bing.
INTERNATIONAL ENDODONTIC JOURNAL
(2023)
Article
Endocrinology & Metabolism
Melina Ghamari, Mahdieh Mehrab Mohseni, Mohammad Taheri, Seyedeh Morvarid Neishabouri, Zeinab Shirvani-Farsani
Summary: This study investigated the expression of three lncRNAs in bipolar disorder patients and found significant upregulation of RMRP and CTC-487M23.5 in BD individuals, with upregulation of RMRP in females with BD. The study suggests a potential role for RMRP and CTC-487M23.5 as biomarkers for BD.
METABOLIC BRAIN DISEASE
(2023)