Mariam Khaled - Academia.edu (original) (raw)

Papers by Mariam Khaled

Research paper thumbnail of Genetics of keratoconus

Genetics and Genomics of Eye Disease

Abstract Keratoconus (KC) is the most common corneal ectatic disorder. Patients with KC suffer fr... more Abstract Keratoconus (KC) is the most common corneal ectatic disorder. Patients with KC suffer from a significant visual impairment, which in advanced cases can only be restored by corneal transplantation surgery. KC is a complex disorder attributed to different contributors including genetics and environmental factors. In this chapter, we aim to report the genetic etiology of KC. Family-based linkage analysis, case-control-based genome-wide association analysis (GWAS), and direct candidate gene sequencing have been used to identify the genetic mutations or risk factors. Linkage analyses have identified multiple genomic loci with chr5q21.2 as the only independently replicated locus. GWAS and candidate gene analyses have identified many KC-associated sequence variants, opening new areas of KC-related research. We expect that more genetic factors will be identified and characterized for KC with the development of novel technologies in genetics.

Research paper thumbnail of PPIP5K2 mutations & Keratoconus in Human Patients and Mouse Models

Investigative Ophthalmology & Visual Science, Jul 22, 2019

Research paper thumbnail of Exosomes and their miRNA/protein contents in Keratoconus

Investigative Ophthalmology & Visual Science, Jul 22, 2019

Research paper thumbnail of Proteomics Analysis of LOXL1-containing Exosomes Secreted by Len Epithelial Cells

Investigative Ophthalmology & Visual Science, 2017

Research paper thumbnail of Cornea TSC 1 Mutations in Keratoconus Patients With or Without Tuberous Sclerosis

Yelena Bykhovskaya, Majid Fardaei, Mariam Lotfy Khaled, Mahmood Nejabat, Ramin Salouti, Hassan Da... more Yelena Bykhovskaya, Majid Fardaei, Mariam Lotfy Khaled, Mahmood Nejabat, Ramin Salouti, Hassan Dastsooz, Yutao Liu, Soroor Inaloo, and Yaron S. Rabinowitz Department of Surgery and Board of the Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States Cornea Genetic Eye Institute, Beverly Hills, California, United States Department of Medical Genetics, Shiraz University of Medical Sciences, Shiraz, Iran Department of Cellular Biology and Anatomy, Augusta University, Augusta, Georgia, United States Poostchi Ophthalmology Research Center, Department of Ophthalmology, Shiraz University of Medical Sciences, Shiraz, Iran Comprehensive Medical Genetics Center, Shiraz University of Medical Sciences, Shiraz, Iran Department of Pediatrics, Shiraz University of Medical Sciences, Shiraz, Iran The Jules Stein Eye Institute, University of California-Los Angeles, Los Angeles, California, United States

Research paper thumbnail of Molecular characterization of MIR184 mutation in keratoconus using primary human corneal cells

Investigative Ophthalmology & Visual Science, 2017

Research paper thumbnail of Long Non-Coding RNAs in Keratoconus-affected Human Cornea

Investigative Ophthalmology & Visual Science, 2018

Research paper thumbnail of Homozygous Mutation in the ELMO3 Gene with Keratoconus

Investigative Ophthalmology & Visual Science, 2018

Research paper thumbnail of Investigation of root causes of order unfulfillment: A Logistics case study

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2021

This study targets an order fulfillment problem in a freight forwarding company. Some applicable ... more This study targets an order fulfillment problem in a freight forwarding company. Some applicable solutions are implemented such as supplier performance evaluation, suppliers' selection, and location analytics. The objective of the study is to reduce the number of unfulfilled orders by supply planning. Some of the tools used to achieve this are Excel (VBA and Pivot tables) to perform drivers' scoring, analytic hierarchy process (AHP), and ArcGIS software to visualize locations. The results showed that the company can implement the suggested solutions to reduce the number of order cancellations and assist drivers based on clients' demands to ensure customer satisfaction and loyalty. The AHP allows the company to standardize the order fulfillment process, keep clients' loyalty, satisfy clients' demands and eliminate a random selection of drivers. In addition, drivers' evaluation can assist the company to visualize drivers' performance through the five different criteria: punctuality, truck quality, reliability, appearance, and mobile app usage in different periods of time and assign the drivers to new clients based on their scores to avoid any complaints from clients. For the map visualization, it matches supply with demand as currently, the company acquires suppliers with no strategic purpose. The locations visualized on the map assist the supply team to indicate the regions that need an increase in the capacity of contractors and drivers close to the client's location. In addition, the map illustrates the business size and territory.

Research paper thumbnail of Modelling of Crime Record Management System Using Unified Modeling Language

Ingénierie des systèmes d information, 2021

Crime records management is a system that helps police keep records of citizens’ complaints files... more Crime records management is a system that helps police keep records of citizens’ complaints files, investigation evidence and processes. In addition, it helps police keep records of the criminals who have been arrested or who are to be arrested. This paper aims to model the Crime Record Management System (CRMS) using various Unified Modeling Language (UML) diagrams, to demonstrate an explicit visualization of the system. Also, showing the communication among different actors, and the sequence of activities and interactions. The perspective of modeling the CRMS is by covering four stages, which are Counter (Station Diary Constable), Crime Investigation, Prosecution, and Adjudication. It is concluded that applying UML diagrams facilitates understanding and perceiving the processes of recording crime files, as it illustrates detailed activities and interactions.

Research paper thumbnail of Transcriptional profiling of corneal stromal cells derived from patients with keratoconus

Scientific Reports, 2019

Keratoconus (KC) is a multi-factorial corneal ectasia with unknown etiology affecting approximate... more Keratoconus (KC) is a multi-factorial corneal ectasia with unknown etiology affecting approximately 1:2000 people worldwide. Dysregulated gene expression, using RNA-Seq technology, have been reported in KC corneal tissue. However, the differential expression of genes, in KC corneal stromal cells have been widely ignored. We utilized mRNA-Seq to analyze gene expression in primary human corneal stromal cells derived from five non-Keratoconus healthy (HCF) and four Keratoconus (HKC) donors. Selected genes were further validated using real time PCR (RT-PCR). We have identified 423 differentially expressed genes with 187 down- and 236 up-regulated in KC-affected corneal stromal cells. Gene ontology analysis using WebGestalt indicates the enrichment of genes involved in cell migration, extracellular matrix, adherens junction, and MAPK signaling. Our protein-protein interaction network analysis identified several network seeds, such as EGFR, NEDD4, SNTA1, LGALS3BP, HSPB1, SDC2, MME, and HI...

Research paper thumbnail of A Comparative Study of Serum Exosome Isolation Using Differential Ultracentrifugation and Three Commercial Reagents

PLOS ONE, 2017

Exosomes play a role in cell-to-cell signaling and serve as possible biomarkers. Isolating exosom... more Exosomes play a role in cell-to-cell signaling and serve as possible biomarkers. Isolating exosomes with reliable quality and substantial concentration is a major challenge. Our purpose is to compare the exosomes extracted by three different exosome isolation kits (miRCURY, ExoQuick, and Invitrogen Total Exosome Isolation Reagent) and differential ultracentrifugation (UC) using six different volumes of a non-cancerous human serum (5 ml, 1 ml, 500 μl, 250 μl, 100 μl, and 50 μl) and three different volumes (1 ml, 500 μl and 100 μl) of six individual commercial serum samples collected from human donors. The smaller starting volumes (100 μl and 50 μl) are used to mimic conditions of limited availability of heterogeneous biological samples. The isolated exosomes were characterized based upon size, quantity, zeta potential, CD63 and CD9 protein expression, and exosomal RNA (exRNA) quality and quantity using several complementary methods: nanoparticle tracking analysis (NTA) with ZetaView, western blot, transmission electron microscopy (TEM), the Agilent Bioanalyzer system, and droplet digital PCR (ddPCR). Our NTA results showed that all isolation techniques produced exosomes within the expected size range (40-150 nm). The three kits, though, produced a significantly higher yield (80-300 fold) of exosomes as compared to UC for all serum volumes, except 5 mL. We also found that exosomes isolated by the different techniques and serum volumes had similar zeta potentials to previous studies. Western blot analysis and TEM immunogold labelling confirmed the expression of two common exosomal protein markers, CD63 and CD9, in samples isolated by all techniques. All exosome isolations yielded high quality exRNA, containing mostly small RNA with a peak between 25 and 200 nucleotides in size. ddPCR results indicated that exosomes isolated from similar serum volumes but different isolation techniques rendered similar concentrations of two selected exRNA: hsa-miR-16 and hsa-miR-451. In summary, the three PLOS ONE |

Research paper thumbnail of Obese communities among the best predictors of COVID-19-related deaths

Cardiovascular Endocrinology & Metabolism, 2020

Introduction Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world sinc... more Introduction Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world since the Spanish flu in 1918. Visual examination of the world map shows a wide variation of death tolls between countries. The main goal of our series is to determine the best predictors of such discrepancy. Methods This is a retrospective study in which the rate of COVID-19 deaths was correlated with each of the following independent variables: total tests per 1 million population, gross domestic product (GDP), average temperatures per country, ultraviolet index, median age, average BMI per country, food supply, Bacille Calmette-Guerin compulsory status, and passenger traffic. Results BMI per country proved to be the second best predictor of death rate with an R value of 0.43, and GDP being the best predictor with R = 0.65. Conclusion This article shows a tight correlation between average BMI, food supply per country, and COVID-19-related deaths. Such predisposing factors might operate by upregulating the inflammation pathway in heavily struck countries, leading to easier triggering of the infamous cytokine storm syndrome. Obesity also increases cardiovascular and respiratory morbidities, which are coupled to increased ICU demand and deaths among infected cases.

Research paper thumbnail of Genetics of keratoconus

Genetics and Genomics of Eye Disease

Abstract Keratoconus (KC) is the most common corneal ectatic disorder. Patients with KC suffer fr... more Abstract Keratoconus (KC) is the most common corneal ectatic disorder. Patients with KC suffer from a significant visual impairment, which in advanced cases can only be restored by corneal transplantation surgery. KC is a complex disorder attributed to different contributors including genetics and environmental factors. In this chapter, we aim to report the genetic etiology of KC. Family-based linkage analysis, case-control-based genome-wide association analysis (GWAS), and direct candidate gene sequencing have been used to identify the genetic mutations or risk factors. Linkage analyses have identified multiple genomic loci with chr5q21.2 as the only independently replicated locus. GWAS and candidate gene analyses have identified many KC-associated sequence variants, opening new areas of KC-related research. We expect that more genetic factors will be identified and characterized for KC with the development of novel technologies in genetics.

Research paper thumbnail of PPIP5K2 mutations & Keratoconus in Human Patients and Mouse Models

Investigative Ophthalmology & Visual Science, Jul 22, 2019

Research paper thumbnail of Exosomes and their miRNA/protein contents in Keratoconus

Investigative Ophthalmology & Visual Science, Jul 22, 2019

Research paper thumbnail of Proteomics Analysis of LOXL1-containing Exosomes Secreted by Len Epithelial Cells

Investigative Ophthalmology & Visual Science, 2017

Research paper thumbnail of Cornea TSC 1 Mutations in Keratoconus Patients With or Without Tuberous Sclerosis

Yelena Bykhovskaya, Majid Fardaei, Mariam Lotfy Khaled, Mahmood Nejabat, Ramin Salouti, Hassan Da... more Yelena Bykhovskaya, Majid Fardaei, Mariam Lotfy Khaled, Mahmood Nejabat, Ramin Salouti, Hassan Dastsooz, Yutao Liu, Soroor Inaloo, and Yaron S. Rabinowitz Department of Surgery and Board of the Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States Cornea Genetic Eye Institute, Beverly Hills, California, United States Department of Medical Genetics, Shiraz University of Medical Sciences, Shiraz, Iran Department of Cellular Biology and Anatomy, Augusta University, Augusta, Georgia, United States Poostchi Ophthalmology Research Center, Department of Ophthalmology, Shiraz University of Medical Sciences, Shiraz, Iran Comprehensive Medical Genetics Center, Shiraz University of Medical Sciences, Shiraz, Iran Department of Pediatrics, Shiraz University of Medical Sciences, Shiraz, Iran The Jules Stein Eye Institute, University of California-Los Angeles, Los Angeles, California, United States

Research paper thumbnail of Molecular characterization of MIR184 mutation in keratoconus using primary human corneal cells

Investigative Ophthalmology & Visual Science, 2017

Research paper thumbnail of Long Non-Coding RNAs in Keratoconus-affected Human Cornea

Investigative Ophthalmology & Visual Science, 2018

Research paper thumbnail of Homozygous Mutation in the ELMO3 Gene with Keratoconus

Investigative Ophthalmology & Visual Science, 2018

Research paper thumbnail of Investigation of root causes of order unfulfillment: A Logistics case study

2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2021

This study targets an order fulfillment problem in a freight forwarding company. Some applicable ... more This study targets an order fulfillment problem in a freight forwarding company. Some applicable solutions are implemented such as supplier performance evaluation, suppliers' selection, and location analytics. The objective of the study is to reduce the number of unfulfilled orders by supply planning. Some of the tools used to achieve this are Excel (VBA and Pivot tables) to perform drivers' scoring, analytic hierarchy process (AHP), and ArcGIS software to visualize locations. The results showed that the company can implement the suggested solutions to reduce the number of order cancellations and assist drivers based on clients' demands to ensure customer satisfaction and loyalty. The AHP allows the company to standardize the order fulfillment process, keep clients' loyalty, satisfy clients' demands and eliminate a random selection of drivers. In addition, drivers' evaluation can assist the company to visualize drivers' performance through the five different criteria: punctuality, truck quality, reliability, appearance, and mobile app usage in different periods of time and assign the drivers to new clients based on their scores to avoid any complaints from clients. For the map visualization, it matches supply with demand as currently, the company acquires suppliers with no strategic purpose. The locations visualized on the map assist the supply team to indicate the regions that need an increase in the capacity of contractors and drivers close to the client's location. In addition, the map illustrates the business size and territory.

Research paper thumbnail of Modelling of Crime Record Management System Using Unified Modeling Language

Ingénierie des systèmes d information, 2021

Crime records management is a system that helps police keep records of citizens’ complaints files... more Crime records management is a system that helps police keep records of citizens’ complaints files, investigation evidence and processes. In addition, it helps police keep records of the criminals who have been arrested or who are to be arrested. This paper aims to model the Crime Record Management System (CRMS) using various Unified Modeling Language (UML) diagrams, to demonstrate an explicit visualization of the system. Also, showing the communication among different actors, and the sequence of activities and interactions. The perspective of modeling the CRMS is by covering four stages, which are Counter (Station Diary Constable), Crime Investigation, Prosecution, and Adjudication. It is concluded that applying UML diagrams facilitates understanding and perceiving the processes of recording crime files, as it illustrates detailed activities and interactions.

Research paper thumbnail of Transcriptional profiling of corneal stromal cells derived from patients with keratoconus

Scientific Reports, 2019

Keratoconus (KC) is a multi-factorial corneal ectasia with unknown etiology affecting approximate... more Keratoconus (KC) is a multi-factorial corneal ectasia with unknown etiology affecting approximately 1:2000 people worldwide. Dysregulated gene expression, using RNA-Seq technology, have been reported in KC corneal tissue. However, the differential expression of genes, in KC corneal stromal cells have been widely ignored. We utilized mRNA-Seq to analyze gene expression in primary human corneal stromal cells derived from five non-Keratoconus healthy (HCF) and four Keratoconus (HKC) donors. Selected genes were further validated using real time PCR (RT-PCR). We have identified 423 differentially expressed genes with 187 down- and 236 up-regulated in KC-affected corneal stromal cells. Gene ontology analysis using WebGestalt indicates the enrichment of genes involved in cell migration, extracellular matrix, adherens junction, and MAPK signaling. Our protein-protein interaction network analysis identified several network seeds, such as EGFR, NEDD4, SNTA1, LGALS3BP, HSPB1, SDC2, MME, and HI...

Research paper thumbnail of A Comparative Study of Serum Exosome Isolation Using Differential Ultracentrifugation and Three Commercial Reagents

PLOS ONE, 2017

Exosomes play a role in cell-to-cell signaling and serve as possible biomarkers. Isolating exosom... more Exosomes play a role in cell-to-cell signaling and serve as possible biomarkers. Isolating exosomes with reliable quality and substantial concentration is a major challenge. Our purpose is to compare the exosomes extracted by three different exosome isolation kits (miRCURY, ExoQuick, and Invitrogen Total Exosome Isolation Reagent) and differential ultracentrifugation (UC) using six different volumes of a non-cancerous human serum (5 ml, 1 ml, 500 μl, 250 μl, 100 μl, and 50 μl) and three different volumes (1 ml, 500 μl and 100 μl) of six individual commercial serum samples collected from human donors. The smaller starting volumes (100 μl and 50 μl) are used to mimic conditions of limited availability of heterogeneous biological samples. The isolated exosomes were characterized based upon size, quantity, zeta potential, CD63 and CD9 protein expression, and exosomal RNA (exRNA) quality and quantity using several complementary methods: nanoparticle tracking analysis (NTA) with ZetaView, western blot, transmission electron microscopy (TEM), the Agilent Bioanalyzer system, and droplet digital PCR (ddPCR). Our NTA results showed that all isolation techniques produced exosomes within the expected size range (40-150 nm). The three kits, though, produced a significantly higher yield (80-300 fold) of exosomes as compared to UC for all serum volumes, except 5 mL. We also found that exosomes isolated by the different techniques and serum volumes had similar zeta potentials to previous studies. Western blot analysis and TEM immunogold labelling confirmed the expression of two common exosomal protein markers, CD63 and CD9, in samples isolated by all techniques. All exosome isolations yielded high quality exRNA, containing mostly small RNA with a peak between 25 and 200 nucleotides in size. ddPCR results indicated that exosomes isolated from similar serum volumes but different isolation techniques rendered similar concentrations of two selected exRNA: hsa-miR-16 and hsa-miR-451. In summary, the three PLOS ONE |

Research paper thumbnail of Obese communities among the best predictors of COVID-19-related deaths

Cardiovascular Endocrinology & Metabolism, 2020

Introduction Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world sinc... more Introduction Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world since the Spanish flu in 1918. Visual examination of the world map shows a wide variation of death tolls between countries. The main goal of our series is to determine the best predictors of such discrepancy. Methods This is a retrospective study in which the rate of COVID-19 deaths was correlated with each of the following independent variables: total tests per 1 million population, gross domestic product (GDP), average temperatures per country, ultraviolet index, median age, average BMI per country, food supply, Bacille Calmette-Guerin compulsory status, and passenger traffic. Results BMI per country proved to be the second best predictor of death rate with an R value of 0.43, and GDP being the best predictor with R = 0.65. Conclusion This article shows a tight correlation between average BMI, food supply per country, and COVID-19-related deaths. Such predisposing factors might operate by upregulating the inflammation pathway in heavily struck countries, leading to easier triggering of the infamous cytokine storm syndrome. Obesity also increases cardiovascular and respiratory morbidities, which are coupled to increased ICU demand and deaths among infected cases.