Background:Type 2 diabetes(T2D)is an adult-onset and obese form of diabetes caused by an interplay between genetic,epigenetic,and environmental components.Here,we have assessed a cohort of 11 genetically different col...Background:Type 2 diabetes(T2D)is an adult-onset and obese form of diabetes caused by an interplay between genetic,epigenetic,and environmental components.Here,we have assessed a cohort of 11 genetically different collaborative cross(CC)mouse lines comprised of both sexes for T2D and obesity developments in response to oral infection and high-fat diet(HFD)challenges.Methods:Mice were fed with either the HFD or the standard chow diet(control group)for 12 weeks starting at the age of 8 weeks.At week 5 of the experiment,half of the mice of each diet group were infected with Porphyromonas gingivalis and Fusobacterium nucleatum bacteria strains.Throughout the 12-week experimental period,body weight(BW)was recorded biweekly,and intraperitoneal glucose tolerance tests were performed at weeks 6 and 12 of the experiment to evaluate the glucose tolerance status of mice.Results:Statistical analysis has shown the significance of phenotypic variations between the CC lines,which have different genetic backgrounds and sex effects in different experimental groups.The heritability of the studied phenotypes was estimated and ranged between 0.45 and 0.85.We applied machine learning methods to make an early call for T2D and its prognosis.The results showed that classification with random forest could reach the highest accuracy classification(ACC=0.91)when all the attributes were used.Conclusion:Using sex,diet,infection status,initial BW,and area under the curve(AUC)at week 6,we could classify the final phenotypes/outcomes at the end stage of the experiment(at 12 weeks).展开更多
Background:Type 2 diabetes(T2D)is a polygenic metabolic disease,character-ized by high fasting blood glucose(FBG).The ability of cranberry(CRN)fruit to regulate glycemia in T2D patients is well known.Here,a cohort of ...Background:Type 2 diabetes(T2D)is a polygenic metabolic disease,character-ized by high fasting blood glucose(FBG).The ability of cranberry(CRN)fruit to regulate glycemia in T2D patients is well known.Here,a cohort of 13 lines of the genetically diverse Collaborative Cross(CC)mouse model was assessed for the effect of non-dialyzable material(NDM)of cranberry extract in lowering fasting blood glucose.Methods:Eight-week-old mice were maintained on either a standard chow diet(con-trol group)or a high-fat diet(HFD)for 12 weeks,followed by injections of intraperi-toneal(IP)NDM(50 mg/kg)per mouse,three times a week for the next 6 weeks.Absolute FBG(mg/dl)was measured bi-weekly and percentage changes in FBG(%FBG)between weeks 0 and 12 were calculated.Results:Statistical analysis showed a significant decrease in FBG between weeks 0 and 12 in male and female mice maintained on CHD.However,a non-significant in-crease in FBG values was observed in male and female mice maintained on HFD dur-ing the same period.Following administration of NDM during the following 6 weeks,the results show a variation in significant levels of FBG lowering between lines,male and female mice and under the different diets.Conclusion:The results suggest that the efficacy of NDM treatment in lowering FGB depends on host genetic background(pharmacogenetics),sex of the mouse(phar-macosex),and diet(pharmacodiet).All these results support the need for follow-up research to better understand and implement a personalized medicine approach/uti-lization of NDM for reducing FBG.展开更多
Background:Bone microarchitecture is affected by multiple genes,each having a small effect on the external appearance.It is thus challenging to characterize the genes and their specific effect on bone thickness and po...Background:Bone microarchitecture is affected by multiple genes,each having a small effect on the external appearance.It is thus challenging to characterize the genes and their specific effect on bone thickness and porosity.The purpose of this study was to assess the heritability and the genetic variation effect,as well as the sex effect on the calvarial bone thickness(Ca.Th)and calvarial porosity(%PoV)using the Collaborative Cross(CC)mouse population.Methods:In the study we examined the parietal bones of 56 mice from 9 lines of CC mice.Morphometric parameters were evaluated using microcomputed tomography(μCT)and included Ca.Th and%PoV.We then evaluated heritability,genetic versus environmental variance and the sex effect for these parameters.Results:Our morphometric analysis showed that Ca.Th and%PoV are both significantly different among the CC lines with a broad sense heritability of 0.78 and 0.90,respectively.The sex effect within the lines was significant in line IL111 and showed higher values of Ca.Th and%PoV in females compared to males.In line IL19 there was a borderline sex effect in Ca.Th in which males showed higher values than females.Conclusions:These results stress the complexity of sex and genotype interactions controlling Ca.Th and%PoV,as the skeletal sexual dimorphism was dependent on the genetic background.This study also shows that the CC population is a powerful tool for establishing the genetic effect on these traits.展开更多
Head and neck squamous cell cancer(HNSCC)is a leading global malignancy.Every year,More than 830000 people are diagnosed with HNSCC globally,with more than 430000 fatalities.HNSCC is a deadly diverse malignancy with m...Head and neck squamous cell cancer(HNSCC)is a leading global malignancy.Every year,More than 830000 people are diagnosed with HNSCC globally,with more than 430000 fatalities.HNSCC is a deadly diverse malignancy with many tumor locations and biological characteristics.It originates from the squamous epithelium of the oral cavity,oropharynx,nasopharynx,larynx,and hypopharynx.The most frequently impacted regions are the tongue and larynx.Previous investigations have demonstrated the critical role of host genetic susceptibility in the progression of HNSCC.Despite the advances in our knowledge,the improved survival rate of HNSCC patients over the last 40 years has been limited.Failure to identify the molecular origins of development of HNSCC and the genetic basis of the disease and its biological heterogeneity impedes the development of new therapeutic methods.These results indicate a need to identify more genetic factors underlying this complex disease,which can be better used in early detection and prevention strategies.The lack of reliable animal models to investigate the underlying molecular processes is one of the most significant barriers to understanding HNSCC tumors.In this report,we explore and discuss potential research prospects utilizing the Collaborative Cross mouse model and crossing it to mice carrying single or double knockout genes(e.g.Smad 4 and P53 genes)to identify genetic factors affecting the development of this complex disease using genome-wide association studies,epigenetics,micro RNA,long noncoding RNA,lnc RNA,histone modifications,methylation,phosphorylation,and proteomics.展开更多
Background: Host genetic background and sex, play central roles in defining the pathogenesis of type 2 diabetes(T2 D), obesity and infectious diseases. Our previous studies demonstrated the utilization of genetically ...Background: Host genetic background and sex, play central roles in defining the pathogenesis of type 2 diabetes(T2 D), obesity and infectious diseases. Our previous studies demonstrated the utilization of genetically highly diverse inbred mouse lines, namely collaborative cross(CC), for dissecting host susceptibility for the development of T2 D and obesity, showing significant variations following high-fat(42% fat) diet(HFD). Here, we aimed to assessing the host genetic background and sex effects on T2 D and obesity development in response to oral-mixed bacterial infection and HFD using the CC lines.Materials and Methods: Study cohort consists of 97 mice from 2 CC lines(both sexes), maintained on either HFD or Standard diet(CHD) for 12 weeks. At week 5 a group of mice from each diet were infected with Porphyromonas gingivalis(Pg) and Fusobacterium nucleatum(Fn) bacteria(control groups without infection). Body weight(BW) and glucose tolerance ability were assessed at the end time point of the experiment.Results: The CC lines varied(P <.05) at their BW gain and glucose tolerance ability(with sex effect) in response to diets and/or infection, showing opposite responses despite sharing the same environmental conditions. The combination of diet and infection enhances BW accumulation for IL1912, while restraints it for IL72. As for glucose tolerance ability, only females(both lines) were deteriorated in response to infection.Conclusions: This study emphasizes the power of the CC mouse population for the characterization of host genetic makeup for defining the susceptibility of the individual to development of obesity and/or impaired glucose tolerance.展开更多
Background:Multimorbidity of intestinal cancer(IC),type 2 diabetes(T2D)and obesity is a complex set of diseases,affected by environmental and genetic risk factors.High-fat diet(HFD)and oral bacterial infection play im...Background:Multimorbidity of intestinal cancer(IC),type 2 diabetes(T2D)and obesity is a complex set of diseases,affected by environmental and genetic risk factors.High-fat diet(HFD)and oral bacterial infection play important roles in the etiology of these diseases through inflammation and various biological mechanisms.Methods:To study the complexity of this multimorbidity,we used the collaborative cross(CC)mouse genetics reference population.We aimed to study the multimorbidity of IC,T2D,and obesity using CC lines,measuring their responses to HFD and oral bacterial infection.The study used 63 mice of both sexes generated from two CC lines(IL557 and IL711).For 12 weeks,experimental mice were maintained on specific dietary regimes combined with co-infection with oral bacteria Porphyromonas gingivalis and Fusobacterium nucleatum,while control groups were not infected.Body weight(BW)and results of a intraperitoneal glucose tolerance test(IPGTT)were recorded at the end of 12 weeks,after which length and size of the intestines were assessed for polyp counts.Results:Polyp counts ranged between 2 and 10 per CC line.The combination of HFD and infection significantly reduced(P<.01)the colon polyp size of IL557 females to 2.5 cm 2,compared to the other groups.Comparing BW gain,IL557 males on HFD gained 18 g,while the females gained 10 g under the same conditions and showed the highest area under curve(AUC)values of 40000-45000(min mg/dL)in the IPGTT.Conclusion:The results show that mice from different genetic backgrounds respond differently to a high fat diet and oral infection in terms of polyp development and glucose tolerance,and this effect is gender related.展开更多
The intestinal microbiome has emerged as an important component involved in various diseases.Therefore,the interest in understanding the factors shaping its composition is growing.The gut microbiome,often defined as a...The intestinal microbiome has emerged as an important component involved in various diseases.Therefore,the interest in understanding the factors shaping its composition is growing.The gut microbiome,often defined as a complex trait,contains diverse components and its properties are determined by a combination of external and internal effects.Although much effort has been invested so far,it is still difficult to evaluate the extent to which human genetics shape the composition of the gut microbiota.However,in mouse studies,where the environmental factors are better controlled,the effect of the genetic background was significant.The purpose of this paper is to provide a current assessment of the role of human host genetics in shaping the gut microbiome composition.Despite the inconsistency of the reported results,it can be estimated that the genetic factor affects a portion of the microbiome.However,this effect is currently lower than the initial estimates,and it is difficult to separate the genetic influence from the environmental effect.Additionally,despite the differences between the microbial composition of humans and mice,results from mouse models can strengthen our knowledge of host genetics underlying the human gut microbial variation.展开更多
Background: Liver weight is a complex trait, controlled by polygenic factors and differs within populations. Dissecting the genetic architecture underlying these variations will facilitate the search for key role cand...Background: Liver weight is a complex trait, controlled by polygenic factors and differs within populations. Dissecting the genetic architecture underlying these variations will facilitate the search for key role candidate genes involved directly in the hepatomegaly process and indirectly involved in related diseases etiology.Methods: Liver weight of 506 mice generated from 39 different Collaborative Cross(CC) lines with both sexes at age 20 weeks old was determined using an electronic balance. Genomic DNA of the CC lines was genotyped with high-density single nucleotide polymorphic markers.Results: Statistical analysis revealed a significant(P < 0.05) variation of liver weight between the CC lines, with broad sense heritability(H^2) of 0.32 and genetic coefficient of variation(CV_G) of 0.28. Subsequently, quantitative trait locus(QTL) mapping was performed, and results showed a significant QTL only for females on chromosome 8 at genomic interval 88.61-93.38 Mb(4.77 Mb). Three suggestive QTL were mapped at chromosomes 4, 12 and 13. The four QTL were designated as LWL1-LWL4 referring to liver weight loci 1-4 on chromosomes 8, 4, 12 and 13,respectively.Conclusion: To our knowledge, this report presents, for the first time, the utilization of the CC for mapping QTL associated with baseline liver weight in mice. Our findings demonstrate that liver weight is a complex trait controlled by multiple genetic factors that differ significantly between sexes.展开更多
Complex traits are multifactorial traits controlled by polygenic host factors.These trait-related phenotypic characteristics and performance including body weight,blood chemistry,immune cell profiles,as well host susc...Complex traits are multifactorial traits controlled by polygenic host factors.These trait-related phenotypic characteristics and performance including body weight,blood chemistry,immune cell profiles,as well host susceptibility to infectious and chronic diseases.In recent years,tremendous efforts were invested aiming to map the host genetic factors attribute to these traits and subsequently clone the gene/s underlying these loci.In parallel to human studies,a number of mouse models and approaches were developed aimed to enhance the mapping process and the gene cloning.These include of using resources such as F2,backcross,advanced intercross lines,outbred populations,consomic,congenic and recombinant inbred lines(RIL).The constraints of these approaches were the limited resolution mapping of genomic regions of the quantitative trait loci(QTL)associated with the trait of interests,and the limited genetic diversity observed in the parental founders.To overcome these limitations,a new genetically highly diverse recombinant inbred lines of mouse population was established,namely the Collaborative Cross(CC),created from full reciprocal mating of 8 divergent strains of mice:A/J,C57BL/6J,129S1/SvI mJ,NOD/LtJ,NZO/HiL tJ,CAST/Ei,PWK/PhJ,and WSB/EiJ.By intercrossing these eight founders to generate the different CC lines,the genetic makeup of the newly developed resource is completely different from the eight parental lines,and will show heterosis,which subsequently will response differently comparing with their original founders.Finally,our results suggest that it is not essential to defining the phenotypic response of the eight parental lines,prior of assessing the CC lines,because it is believed that genetic interaction of the new genetic makeup of the new lines will reveal new phenotypic response,which completely different from the parental lines.In this report,we present to the community the power of the CC for dissecting variety of complex traits including host susceptibility to infectious and chronic diseases as well body performance traits.Based on our results from a variety of studies,we recommend to the community,that the best strategy of using this population is to aim of phenotyping about 50 and more of CC lines,with limited number of biological replicates(3-4 mice per line),and subsequently using the publicly available high dense genotype information of the CC lines as well the sequence database of the eight founders,it will be possible performing QTL mapping to a unprecedented precision genomic regions less than 1 MB,subsequently lead to identify potential strong candidate genes.These achievements are believed cannot be obtained with any other currently available mouse resource populations.展开更多
The Collaborative Cross(CC)mouse model is a next‐generation mouse genetic reference population(GRP)designated for a high‐resolution quantitative trait loci(QTL)mapping of complex traits during health and disease.The...The Collaborative Cross(CC)mouse model is a next‐generation mouse genetic reference population(GRP)designated for a high‐resolution quantitative trait loci(QTL)mapping of complex traits during health and disease.The CC lines were generated from reciprocal crosses of eight divergent mouse founder strains composed of five classical and three wild‐derived strains.Complex traits are defined to be controlled by variations within multiple genes and the gene/environment interactions.In this article,we introduce and present variety of protocols and results of studying the host response to infectious and chronic diseases,including type 2 diabetes and metabolic diseases,body composition,immune response,colorectal cancer,susceptibility to Aspergillus fumigatus,Klebsiella pneumoniae,Pseudomonas aeruginosa,sepsis,and mixed infections of Porphyromonas gingivalis and Fusobacterium nucleatum,which were conducted at our laboratory using the CC mouse population.These traits are observed at multiple levels of the body systems,including metabolism,body weight,immune profile,susceptibility or resistance to the development and progress of infectious or chronic diseases.Herein,we present full protocols and step‐by‐step methods,implemented in our laboratory for the phenotypic and genotypic characterization of the different CC lines,mapping the gene underlying the host response to these infections and chronic diseases.The CC mouse model is a unique and powerful GRP for dissecting the host genetic architectures underlying complex traits,including chronic and infectious diseases.展开更多
The number of genetically modified mouse models that mimic human disease is growing rapidly,but only a tiny fraction has been commonly used.According to The Knockout Mouse Program(Lloyd,2011),a public resource of mous...The number of genetically modified mouse models that mimic human disease is growing rapidly,but only a tiny fraction has been commonly used.According to The Knockout Mouse Program(Lloyd,2011),a public resource of mouse embryonic stem cells containing a null mutation in every gene in the mouse genome,8,916 mutant mice lines were phenotyped up to 19 July 2022.Due to the poor correlation between the genomic responses in the mouse models and those responses in human disease,and since humans differ significantly in their genetic vulnerability to common diseases,we still need better mouse models,especially for common and chronic human diseases,including cancer,pulmonary and cardiovascular diseases,obesity and diabetes,behavioral disorders,and neurodegenerative diseases.These new models will be placed into a public repository,The China National Human Disease Animal Model Resource Center(NAMR).This project is funded by Ministry of Science and Technology of China and specializes in the creation,introduction,collection,preservation,and supply of animal model resources forhuman diseases.展开更多
Background:Aspergillus fumigatus(Af)is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic back-ground.The aim of this study was to search for candidat...Background:Aspergillus fumigatus(Af)is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic back-ground.The aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus(Af)using an RNAseq approach in CC lines and hepatic gene expression.Methods:We studied 31 male mice from 25 CC lines at 8 weeks old;the mice were infected with Af.Liver tissues were extracted from these mice 5 days post-infection,and next-generation RNA-sequencing(RNAseq)was performed.The GENE-E analysis platform was used to generate a clustered heat map matrix.Results:Significant variation in body weight changes between CC lines was ob-served.Hepatic gene expression revealed 12 top prioritized candidate genes differ-entially expressed in resistant versus susceptible mice based on body weight changes.Interestingly,three candidate genes are located within genomic intervals of the previ-ously mapped quantitative trait loci(QTL),including Gm16270 and Stox1 on chromo-some 10 and Gm11033 on chromosome 8.Conclusions:Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards Af.As a next step,eQTL analysis will be performed for our RNA-Seq data.Suggested candidate genes from our study will be further assessed with a human cohort with aspergillosis.展开更多
基金Binational Science Foundation(BSF)grant number 2015077German Israeli Science Foundation(GIF)grant I-63-410.20-2017+1 种基金Israeli Science Foundation(ISF)grant 1085/18core fund from Tel Aviv University。
文摘Background:Type 2 diabetes(T2D)is an adult-onset and obese form of diabetes caused by an interplay between genetic,epigenetic,and environmental components.Here,we have assessed a cohort of 11 genetically different collaborative cross(CC)mouse lines comprised of both sexes for T2D and obesity developments in response to oral infection and high-fat diet(HFD)challenges.Methods:Mice were fed with either the HFD or the standard chow diet(control group)for 12 weeks starting at the age of 8 weeks.At week 5 of the experiment,half of the mice of each diet group were infected with Porphyromonas gingivalis and Fusobacterium nucleatum bacteria strains.Throughout the 12-week experimental period,body weight(BW)was recorded biweekly,and intraperitoneal glucose tolerance tests were performed at weeks 6 and 12 of the experiment to evaluate the glucose tolerance status of mice.Results:Statistical analysis has shown the significance of phenotypic variations between the CC lines,which have different genetic backgrounds and sex effects in different experimental groups.The heritability of the studied phenotypes was estimated and ranged between 0.45 and 0.85.We applied machine learning methods to make an early call for T2D and its prognosis.The results showed that classification with random forest could reach the highest accuracy classification(ACC=0.91)when all the attributes were used.Conclusion:Using sex,diet,infection status,initial BW,and area under the curve(AUC)at week 6,we could classify the final phenotypes/outcomes at the end stage of the experiment(at 12 weeks).
基金supported by a core fund from Tel-Aviv University.
文摘Background:Type 2 diabetes(T2D)is a polygenic metabolic disease,character-ized by high fasting blood glucose(FBG).The ability of cranberry(CRN)fruit to regulate glycemia in T2D patients is well known.Here,a cohort of 13 lines of the genetically diverse Collaborative Cross(CC)mouse model was assessed for the effect of non-dialyzable material(NDM)of cranberry extract in lowering fasting blood glucose.Methods:Eight-week-old mice were maintained on either a standard chow diet(con-trol group)or a high-fat diet(HFD)for 12 weeks,followed by injections of intraperi-toneal(IP)NDM(50 mg/kg)per mouse,three times a week for the next 6 weeks.Absolute FBG(mg/dl)was measured bi-weekly and percentage changes in FBG(%FBG)between weeks 0 and 12 were calculated.Results:Statistical analysis showed a significant decrease in FBG between weeks 0 and 12 in male and female mice maintained on CHD.However,a non-significant in-crease in FBG values was observed in male and female mice maintained on HFD dur-ing the same period.Following administration of NDM during the following 6 weeks,the results show a variation in significant levels of FBG lowering between lines,male and female mice and under the different diets.Conclusion:The results suggest that the efficacy of NDM treatment in lowering FGB depends on host genetic background(pharmacogenetics),sex of the mouse(phar-macosex),and diet(pharmacodiet).All these results support the need for follow-up research to better understand and implement a personalized medicine approach/uti-lization of NDM for reducing FBG.
文摘Background:Bone microarchitecture is affected by multiple genes,each having a small effect on the external appearance.It is thus challenging to characterize the genes and their specific effect on bone thickness and porosity.The purpose of this study was to assess the heritability and the genetic variation effect,as well as the sex effect on the calvarial bone thickness(Ca.Th)and calvarial porosity(%PoV)using the Collaborative Cross(CC)mouse population.Methods:In the study we examined the parietal bones of 56 mice from 9 lines of CC mice.Morphometric parameters were evaluated using microcomputed tomography(μCT)and included Ca.Th and%PoV.We then evaluated heritability,genetic versus environmental variance and the sex effect for these parameters.Results:Our morphometric analysis showed that Ca.Th and%PoV are both significantly different among the CC lines with a broad sense heritability of 0.78 and 0.90,respectively.The sex effect within the lines was significant in line IL111 and showed higher values of Ca.Th and%PoV in females compared to males.In line IL19 there was a borderline sex effect in Ca.Th in which males showed higher values than females.Conclusions:These results stress the complexity of sex and genotype interactions controlling Ca.Th and%PoV,as the skeletal sexual dimorphism was dependent on the genetic background.This study also shows that the CC population is a powerful tool for establishing the genetic effect on these traits.
基金supported by a core fund from Tel Aviv University and the Department of Oral and Maxillofacial Surgery,Baruch Padeh Medical Center,Poriya,Israel。
文摘Head and neck squamous cell cancer(HNSCC)is a leading global malignancy.Every year,More than 830000 people are diagnosed with HNSCC globally,with more than 430000 fatalities.HNSCC is a deadly diverse malignancy with many tumor locations and biological characteristics.It originates from the squamous epithelium of the oral cavity,oropharynx,nasopharynx,larynx,and hypopharynx.The most frequently impacted regions are the tongue and larynx.Previous investigations have demonstrated the critical role of host genetic susceptibility in the progression of HNSCC.Despite the advances in our knowledge,the improved survival rate of HNSCC patients over the last 40 years has been limited.Failure to identify the molecular origins of development of HNSCC and the genetic basis of the disease and its biological heterogeneity impedes the development of new therapeutic methods.These results indicate a need to identify more genetic factors underlying this complex disease,which can be better used in early detection and prevention strategies.The lack of reliable animal models to investigate the underlying molecular processes is one of the most significant barriers to understanding HNSCC tumors.In this report,we explore and discuss potential research prospects utilizing the Collaborative Cross mouse model and crossing it to mice carrying single or double knockout genes(e.g.Smad 4 and P53 genes)to identify genetic factors affecting the development of this complex disease using genome-wide association studies,epigenetics,micro RNA,long noncoding RNA,lnc RNA,histone modifications,methylation,phosphorylation,and proteomics.
基金Israeli Science Foundation (ISF),Grant/Award Number 1085/18German Israeli Science Foundation (GIF),Grant/Award Number I-63-410.20-2017+1 种基金Binational Science Foundation (BSF),Grant/Award Number 2015077Tel-Aviv University
文摘Background: Host genetic background and sex, play central roles in defining the pathogenesis of type 2 diabetes(T2 D), obesity and infectious diseases. Our previous studies demonstrated the utilization of genetically highly diverse inbred mouse lines, namely collaborative cross(CC), for dissecting host susceptibility for the development of T2 D and obesity, showing significant variations following high-fat(42% fat) diet(HFD). Here, we aimed to assessing the host genetic background and sex effects on T2 D and obesity development in response to oral-mixed bacterial infection and HFD using the CC lines.Materials and Methods: Study cohort consists of 97 mice from 2 CC lines(both sexes), maintained on either HFD or Standard diet(CHD) for 12 weeks. At week 5 a group of mice from each diet were infected with Porphyromonas gingivalis(Pg) and Fusobacterium nucleatum(Fn) bacteria(control groups without infection). Body weight(BW) and glucose tolerance ability were assessed at the end time point of the experiment.Results: The CC lines varied(P <.05) at their BW gain and glucose tolerance ability(with sex effect) in response to diets and/or infection, showing opposite responses despite sharing the same environmental conditions. The combination of diet and infection enhances BW accumulation for IL1912, while restraints it for IL72. As for glucose tolerance ability, only females(both lines) were deteriorated in response to infection.Conclusions: This study emphasizes the power of the CC mouse population for the characterization of host genetic makeup for defining the susceptibility of the individual to development of obesity and/or impaired glucose tolerance.
文摘Background:Multimorbidity of intestinal cancer(IC),type 2 diabetes(T2D)and obesity is a complex set of diseases,affected by environmental and genetic risk factors.High-fat diet(HFD)and oral bacterial infection play important roles in the etiology of these diseases through inflammation and various biological mechanisms.Methods:To study the complexity of this multimorbidity,we used the collaborative cross(CC)mouse genetics reference population.We aimed to study the multimorbidity of IC,T2D,and obesity using CC lines,measuring their responses to HFD and oral bacterial infection.The study used 63 mice of both sexes generated from two CC lines(IL557 and IL711).For 12 weeks,experimental mice were maintained on specific dietary regimes combined with co-infection with oral bacteria Porphyromonas gingivalis and Fusobacterium nucleatum,while control groups were not infected.Body weight(BW)and results of a intraperitoneal glucose tolerance test(IPGTT)were recorded at the end of 12 weeks,after which length and size of the intestines were assessed for polyp counts.Results:Polyp counts ranged between 2 and 10 per CC line.The combination of HFD and infection significantly reduced(P<.01)the colon polyp size of IL557 females to 2.5 cm 2,compared to the other groups.Comparing BW gain,IL557 males on HFD gained 18 g,while the females gained 10 g under the same conditions and showed the highest area under curve(AUC)values of 40000-45000(min mg/dL)in the IPGTT.Conclusion:The results show that mice from different genetic backgrounds respond differently to a high fat diet and oral infection in terms of polyp development and glucose tolerance,and this effect is gender related.
基金Binational Science Foundation(BSF)grant number 2015077German Israeli Science Foundation(GIF)grant I-63-410.20-2017,Israeli Science Foundation(ISF)grant 1085/18,and Core Fund Form Tel-Aviv University.
文摘The intestinal microbiome has emerged as an important component involved in various diseases.Therefore,the interest in understanding the factors shaping its composition is growing.The gut microbiome,often defined as a complex trait,contains diverse components and its properties are determined by a combination of external and internal effects.Although much effort has been invested so far,it is still difficult to evaluate the extent to which human genetics shape the composition of the gut microbiota.However,in mouse studies,where the environmental factors are better controlled,the effect of the genetic background was significant.The purpose of this paper is to provide a current assessment of the role of human host genetics in shaping the gut microbiome composition.Despite the inconsistency of the reported results,it can be estimated that the genetic factor affects a portion of the microbiome.However,this effect is currently lower than the initial estimates,and it is difficult to separate the genetic influence from the environmental effect.Additionally,despite the differences between the microbial composition of humans and mice,results from mouse models can strengthen our knowledge of host genetics underlying the human gut microbial variation.
基金Israeli Centers of Research ExcellenceWellcome Trust,Grant/Award Number:085906/Z/08/Z,075491/Z/04,090532/Z/09/Z+1 种基金Edmond J.Safra Center for Bioinformatics at Tel-Aviv UniversityTel-Aviv University
文摘Background: Liver weight is a complex trait, controlled by polygenic factors and differs within populations. Dissecting the genetic architecture underlying these variations will facilitate the search for key role candidate genes involved directly in the hepatomegaly process and indirectly involved in related diseases etiology.Methods: Liver weight of 506 mice generated from 39 different Collaborative Cross(CC) lines with both sexes at age 20 weeks old was determined using an electronic balance. Genomic DNA of the CC lines was genotyped with high-density single nucleotide polymorphic markers.Results: Statistical analysis revealed a significant(P < 0.05) variation of liver weight between the CC lines, with broad sense heritability(H^2) of 0.32 and genetic coefficient of variation(CV_G) of 0.28. Subsequently, quantitative trait locus(QTL) mapping was performed, and results showed a significant QTL only for females on chromosome 8 at genomic interval 88.61-93.38 Mb(4.77 Mb). Three suggestive QTL were mapped at chromosomes 4, 12 and 13. The four QTL were designated as LWL1-LWL4 referring to liver weight loci 1-4 on chromosomes 8, 4, 12 and 13,respectively.Conclusion: To our knowledge, this report presents, for the first time, the utilization of the CC for mapping QTL associated with baseline liver weight in mice. Our findings demonstrate that liver weight is a complex trait controlled by multiple genetic factors that differ significantly between sexes.
文摘Complex traits are multifactorial traits controlled by polygenic host factors.These trait-related phenotypic characteristics and performance including body weight,blood chemistry,immune cell profiles,as well host susceptibility to infectious and chronic diseases.In recent years,tremendous efforts were invested aiming to map the host genetic factors attribute to these traits and subsequently clone the gene/s underlying these loci.In parallel to human studies,a number of mouse models and approaches were developed aimed to enhance the mapping process and the gene cloning.These include of using resources such as F2,backcross,advanced intercross lines,outbred populations,consomic,congenic and recombinant inbred lines(RIL).The constraints of these approaches were the limited resolution mapping of genomic regions of the quantitative trait loci(QTL)associated with the trait of interests,and the limited genetic diversity observed in the parental founders.To overcome these limitations,a new genetically highly diverse recombinant inbred lines of mouse population was established,namely the Collaborative Cross(CC),created from full reciprocal mating of 8 divergent strains of mice:A/J,C57BL/6J,129S1/SvI mJ,NOD/LtJ,NZO/HiL tJ,CAST/Ei,PWK/PhJ,and WSB/EiJ.By intercrossing these eight founders to generate the different CC lines,the genetic makeup of the newly developed resource is completely different from the eight parental lines,and will show heterosis,which subsequently will response differently comparing with their original founders.Finally,our results suggest that it is not essential to defining the phenotypic response of the eight parental lines,prior of assessing the CC lines,because it is believed that genetic interaction of the new genetic makeup of the new lines will reveal new phenotypic response,which completely different from the parental lines.In this report,we present to the community the power of the CC for dissecting variety of complex traits including host susceptibility to infectious and chronic diseases as well body performance traits.Based on our results from a variety of studies,we recommend to the community,that the best strategy of using this population is to aim of phenotyping about 50 and more of CC lines,with limited number of biological replicates(3-4 mice per line),and subsequently using the publicly available high dense genotype information of the CC lines as well the sequence database of the eight founders,it will be possible performing QTL mapping to a unprecedented precision genomic regions less than 1 MB,subsequently lead to identify potential strong candidate genes.These achievements are believed cannot be obtained with any other currently available mouse resource populations.
基金Hendrech and Eiran Gotwert FundWellcome, Grant/Award Number: 085906/Z/08/Z, 075491/Z/04 and 090532/Z/09/Z+6 种基金Tel-Aviv UniversityIsraeli Science foundation, Grant/Award Number: 429/09, 961/15 and 1085/18Binational Science Foundation, Grant/Award Number: 2015077German Israeli Science Foundation, Grant/Award Number: I-63-410.20-2017Israeli Cancer Research FundCancer Research Counsel-UK Cancer Biology Research Center
文摘The Collaborative Cross(CC)mouse model is a next‐generation mouse genetic reference population(GRP)designated for a high‐resolution quantitative trait loci(QTL)mapping of complex traits during health and disease.The CC lines were generated from reciprocal crosses of eight divergent mouse founder strains composed of five classical and three wild‐derived strains.Complex traits are defined to be controlled by variations within multiple genes and the gene/environment interactions.In this article,we introduce and present variety of protocols and results of studying the host response to infectious and chronic diseases,including type 2 diabetes and metabolic diseases,body composition,immune response,colorectal cancer,susceptibility to Aspergillus fumigatus,Klebsiella pneumoniae,Pseudomonas aeruginosa,sepsis,and mixed infections of Porphyromonas gingivalis and Fusobacterium nucleatum,which were conducted at our laboratory using the CC mouse population.These traits are observed at multiple levels of the body systems,including metabolism,body weight,immune profile,susceptibility or resistance to the development and progress of infectious or chronic diseases.Herein,we present full protocols and step‐by‐step methods,implemented in our laboratory for the phenotypic and genotypic characterization of the different CC lines,mapping the gene underlying the host response to these infections and chronic diseases.The CC mouse model is a unique and powerful GRP for dissecting the host genetic architectures underlying complex traits,including chronic and infectious diseases.
基金supported by grants from CAMS initiative for Innovative Medicine of China(No.2021-I2M-1-034)National Key R&D Program of China(No.2021YFF0703200)National Natural Science Foundation of China(No.82041008 and 82161138027).
文摘The number of genetically modified mouse models that mimic human disease is growing rapidly,but only a tiny fraction has been commonly used.According to The Knockout Mouse Program(Lloyd,2011),a public resource of mouse embryonic stem cells containing a null mutation in every gene in the mouse genome,8,916 mutant mice lines were phenotyped up to 19 July 2022.Due to the poor correlation between the genomic responses in the mouse models and those responses in human disease,and since humans differ significantly in their genetic vulnerability to common diseases,we still need better mouse models,especially for common and chronic human diseases,including cancer,pulmonary and cardiovascular diseases,obesity and diabetes,behavioral disorders,and neurodegenerative diseases.These new models will be placed into a public repository,The China National Human Disease Animal Model Resource Center(NAMR).This project is funded by Ministry of Science and Technology of China and specializes in the creation,introduction,collection,preservation,and supply of animal model resources forhuman diseases.
基金European Sequencing and Genotyping Institutes(ESGI),Grant/Award Number:075491/Z/04,085906/Z/08/Z and 090532/Z/09/ZTel-Aviv University(TAU)。
文摘Background:Aspergillus fumigatus(Af)is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic back-ground.The aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus(Af)using an RNAseq approach in CC lines and hepatic gene expression.Methods:We studied 31 male mice from 25 CC lines at 8 weeks old;the mice were infected with Af.Liver tissues were extracted from these mice 5 days post-infection,and next-generation RNA-sequencing(RNAseq)was performed.The GENE-E analysis platform was used to generate a clustered heat map matrix.Results:Significant variation in body weight changes between CC lines was ob-served.Hepatic gene expression revealed 12 top prioritized candidate genes differ-entially expressed in resistant versus susceptible mice based on body weight changes.Interestingly,three candidate genes are located within genomic intervals of the previ-ously mapped quantitative trait loci(QTL),including Gm16270 and Stox1 on chromo-some 10 and Gm11033 on chromosome 8.Conclusions:Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards Af.As a next step,eQTL analysis will be performed for our RNA-Seq data.Suggested candidate genes from our study will be further assessed with a human cohort with aspergillosis.
