1
|
Mashayekhi F, Shabani S, Sasani ST, Salehi Z. The association of stem cell factor and soluble c-Kit (s-cKit) receptor serum concentrations with the severity and risk prediction of autism spectrum disorders. Metab Brain Dis 2022; 37:619-624. [PMID: 35023029 DOI: 10.1007/s11011-021-00883-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/05/2021] [Indexed: 10/19/2022]
Abstract
S tem cell factor (SCF) and its receptor (c-kit) signaling play important role in normal brain physiology including neurogenesis, synapse formation and spatial learning function of the hippocampal region of the brain. Autism spectrum disorder (ASD) is believed to result from abnormal development of neuronal networks and synaptic function. The aim of this study was to evaluate the SCF and its soluble receptor (s-ckit) serum concentrations in ASD. We also studied the serum SCF and s-ckit concentration with the severity of ASD (Levels 1-3; Mild, Moderate and severe, respectively). Ninety five patients with ASD (Mild; n=33, Moderate; n=32 and severe; n=30) and 82 normal controls age matched were included in this study. The serum concentration of SCF and s-ckit were measured by enzyme-linked immunosorbent assay (ELISA). The SCF serum concentration in control subjects was 3.45±1.06 ng/ml and in ASD was 3.41±0.92 ng/ml (P=0.88). The serum levels of s-ckit in control and ASD groups were 56.82±13.22 ng/ml and 67.11±12.00, respectively (P=001). We have also studied serum SCF and s-ckit concentrations with the severity of ASD. The serum concentration of SCF in mild, moderate and severe ASD groups was 3.45±0.93, 3.4±0.87 and 3.43±0.98 ng/ml, respectively (P>0.05) and for s-ckit was 48.77±9.28, 61.66±12.18 and 93.11±14.81ng/ml, respectively (P<0.05). The result of this study suggests that serum s-cKit concentrations may provide a reliable and practical indicator of ASD and positively correlated with disease severity. It is also concluded that s-cKit might be involved in the pathophysiology of ASD.
Collapse
Affiliation(s)
- Farhad Mashayekhi
- Department of Biology, Faculty of Sciences, University of Guilan, Rasht, Iran.
| | - Somayeh Shabani
- Department of Biology, Faculty of Sciences, University of Guilan, Rasht, Iran
| | | | - Zivar Salehi
- Department of Biology, Faculty of Sciences, University of Guilan, Rasht, Iran
| |
Collapse
|
2
|
Calanzani N, Druce PE, Snudden C, Milley KM, Boscott R, Behiyat D, Saji S, Martinez-Gutierrez J, Oberoi J, Funston G, Messenger M, Emery J, Walter FM. Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Upper Gastrointestinal Cancers: A Systematic Review. Adv Ther 2021; 38:793-834. [PMID: 33306189 PMCID: PMC7889689 DOI: 10.1007/s12325-020-01571-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 11/11/2020] [Indexed: 02/07/2023]
Abstract
Introduction Detecting upper gastrointestinal (GI) cancers in primary care is challenging, as cancer symptoms are common, often non-specific, and most patients presenting with these symptoms will not have cancer. Substantial investment has been made to develop biomarkers for cancer detection, but few have reached routine clinical practice. We aimed to identify novel biomarkers for upper GI cancers which have been sufficiently validated to be ready for evaluation in low-prevalence populations. Methods We systematically searched MEDLINE, Embase, Emcare, and Web of Science for studies published in English from January 2000 to October 2019 (PROSPERO registration CRD42020165005). Reference lists of included studies were assessed. Studies had to report on second measures of diagnostic performance (beyond discovery phase) for biomarkers (single or in panels) used to detect pancreatic, oesophageal, gastric, and biliary tract cancers. We included all designs and excluded studies with less than 50 cases/controls. Data were extracted on types of biomarkers, populations and outcomes. Heterogeneity prevented pooling of outcomes. Results We identified 149 eligible studies, involving 22,264 cancer cases and 49,474 controls. A total of 431 biomarkers were identified (183 microRNAs and other RNAs, 79 autoantibodies and other immunological markers, 119 other proteins, 36 metabolic markers, 6 circulating tumour DNA and 8 other). Over half (n = 231) were reported in pancreatic cancer studies. Only 35 biomarkers had been investigated in at least two studies, with reported outcomes for that individual marker for the same tumour type. Apolipoproteins (apoAII-AT and apoAII-ATQ), and pepsinogens (PGI and PGII) were the most promising biomarkers for pancreatic and gastric cancer, respectively. Conclusion Most novel biomarkers for the early detection of upper GI cancers are still at an early stage of matureness. Further evidence is needed on biomarker performance in low-prevalence populations, in addition to implementation and health economic studies, before extensive adoption into clinical practice can be recommended. Electronic Supplementary Material The online version of this article (10.1007/s12325-020-01571-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Natalia Calanzani
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Paige E Druce
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia
| | - Claudia Snudden
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kristi M Milley
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia
| | - Rachel Boscott
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dawnya Behiyat
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Smiji Saji
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Javiera Martinez-Gutierrez
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia
- Department of Family Medicine, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Jasmeen Oberoi
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia
| | - Garth Funston
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mike Messenger
- Leeds Centre for Personalised Medicine and Health, University of Leeds, Leeds, UK
| | - Jon Emery
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia
| | - Fiona M Walter
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Victoria, Australia
| |
Collapse
|