The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

Arro H Carte - One of the best experts on this subject based on the ideXlab platform.

  • genetic dissection of end use quality traits in adapted Soft White winter Wheat
    Frontiers in Plant Science, 2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Kimberly Garlandcampbell, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be destructive, costly and time-consuming, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Table6.xlsx
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • DataSheet2.XLSX
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Table3.docx
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Image1.pdf
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

Craig F. Morris - One of the best experts on this subject based on the ideXlab platform.

  • relationships between falling number α amylase activity milling cookie and sponge cake quality of Soft White Wheat
    Cereal Chemistry, 2018
    Co-Authors: Alecia M Kiszonas, Douglas A Engle, Leonardo A Pierantoni, Craig F. Morris
    Abstract:

    Background and objectives: Falling Number (FN) in Wheat is an important quality predictor and carries a significant economic impact. Lower FN is associated with higher a-amylase activity and poorer Soft Wheat end-use quality, especially sponge cake. The objective was to examine Wheat samples with a range of FN between 70 > 300 s for a-amylase activity and sponge cake quality. Findings: Falling Number was moderately well correlated with a-amylase activity. Stirring Number, an alternative to FN, was poorly correlated with a-amylase activity. Milling reduced a-amylase activity in break and straight-grade flours compared to grain, but not substantially. Sugar-snap cookie diameter was unrelated to FN. Japanese sponge cake quality, however, was variably associated with FN and a-amylase activity. Conclusions: It seemed that likely the inherent genetic differences in cake quality of specific varieties out-weighed the effects of a-amylase (and relationships with FN). In conclusion, field samples of Soft White Wheat showed the general inverse relationship between FN and a-amylase activity. However, the relationship was not strong enough to consider FN a highly robust predictor of a-amylase activity or of sponge cake quality. Significance and novelty: The results of this study illustrate the complex relationship among FN, a-amylase, milling, and sponge cake quality.

  • genetic dissection of end use quality traits in adapted Soft White winter Wheat
    Frontiers in Plant Science, 2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Kimberly Garlandcampbell, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be destructive, costly and time-consuming, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Table6.xlsx
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • DataSheet2.XLSX
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Table3.docx
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

Kendra L Jerniga - One of the best experts on this subject based on the ideXlab platform.

  • genetic dissection of end use quality traits in adapted Soft White winter Wheat
    Frontiers in Plant Science, 2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Kimberly Garlandcampbell, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be destructive, costly and time-consuming, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Table6.xlsx
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • DataSheet2.XLSX
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Table3.docx
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

  • Image1.pdf
    2018
    Co-Authors: Kendra L Jerniga, Craig F. Morris, Jayfred V Godoy, Meng Huang, Yao Zhou, Zhiwu Zhang, Kimberly A. Garland-campbell, Arro H Carte
    Abstract:

    Soft White Wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 Soft White winter Wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a Wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

L A Cohen - One of the best experts on this subject based on the ideXlab platform.

  • dose response effects of dietary fiber on nmu induced mammary tumorigenesis estrogen levels and estrogen excretion in female rats
    Carcinogenesis, 1996
    Co-Authors: L A Cohen, Edith A Zang, Zhonglin Zhao, A Rivenson
    Abstract:

    The dose-related effects of the fiber-rich isolate, Soft White Wheat bran (SWWB), and the pure fiber, cellulose, on Nnitrosomethylurea (NMU)-induced mammary tumorigenesis was assessed in F344 female rats. SWWB (45% total dietary fiber, TDF) was added to the AEN-76A high-fat diet at 9, 12, 15 and 18%; cellulose (98% TDF) was added to the same diet at 4.5, 6, 7.5 and 9%, to give equivalent amounts of TDF. The experimental diets were fed 3 days post-NMU and continued for a period of 25 weeks, at which time the experiment was terminated and tumors enumerated. It was found that significant inhibition of mammary carcinoma occurred only at 9% SWWB, nonsignificant inhibition occurred at 12% SWWB, and no inhibition was seen at higher doses. Cellulose-fed animals exhibited consistently higher tumor yields regardless of dose. The difference in tumor yields between the 9% SWWB group and the remaining seven groups was attributable to an increased incidence in tumors characterized histologically as intraductal proliferation and ductal carcinoma in situ in the latter. Analysis of blood, urine and fecal estrogens was conducted to test whether dietary fiber exerted its tumor-inhibiting effect by altering the enterohepatic recycling of estrogens. Although SWWB, in general, lowered urinary estrogen excretion, increased fecal estrogen excretion and lowered blood estrogens, there was no consistent correlation between the amount of SWWB consumed, estrogen status and tumor yields. These results suggest that (i) Wheat bran fiber at 9%, or minor constituents associated with it, contain anti-promoting properties that cellulose lacks; (ii) SWWB appears to exert its effects by suppressing the clonal expansion phase of mammary carcinogenesis; (iii) there is an upper limit (12-15% w/w) to the protective effects of SWWB; and (iv) the effects of SWWB on mammary tumorigenesis may not be attributed to alterations in the enterohepatic recycling of estrogens.

  • effect of dietary fiber on mammary tumorigenesis estrogen metabolism and lipid excretion in female rats
    in Vivo, 1992
    Co-Authors: M E Kendall, L A Cohen
    Abstract:

    : We previously reported that supplementary dietary Wheat bran significantly reduced the incidence of N-nitrosomethylurea (NMU) induced mammary tumors in rats fed a high fat (HF) diet and reduced to a lesser extent the incidence in rats fed a low fat (LF) diet compared to their unsupplemented controls. Using the same cohort of experimental animals, we here report the results of biochemical analyses designed to investigate the effect of supplemental dietary fiber on estrogen metabolism and lipid excretion. Serum, hepatic tissue, urine, and feces were obtained from rats which had been fed a HF (23.5% corn oil) diet, a HF plus fiber (HF + F, 10% Soft White Wheat bran, SWWB) diet, a LF (5.0% corn oil) diet, or a LF plus fiber (LF + F) diet for 15 weeks beginning 3 days after a single dose of NMU. Our working hypotheses to explain how dietary fiber protects against mammary tumorigenesis were that fiber may: 1) act as an antiestrogen; 2) decrease circulating estrogens; 3) alter the enterohepatic recirculation of estrogens; and 4) physically bind to lipid and remove it in the feces. Therefore, various indices of estrogen metabolism were assessed including: 1) circulating estradiol (E2) and progesterone; 2) hepatic estrogen receptor (ER) protein; 3) excretion of estrogen in the urine and feces; 4) the in vitro estrogen binding properties of SWWB; 5) fecal lipid content; and 6) the in vitro lipid binding capacity of SWWB. Serum 17 beta-estradiol and progesterone remained unchanged as did hepatic cytosolic (cER) and nuclear (nER) estrogen receptor protein content, in the fiber supplemented groups compared to their respective controls.(ABSTRACT TRUNCATED AT 250 WORDS)

A Rivenson - One of the best experts on this subject based on the ideXlab platform.

  • dose response effects of dietary fiber on nmu induced mammary tumorigenesis estrogen levels and estrogen excretion in female rats
    Carcinogenesis, 1996
    Co-Authors: L A Cohen, Edith A Zang, Zhonglin Zhao, A Rivenson
    Abstract:

    The dose-related effects of the fiber-rich isolate, Soft White Wheat bran (SWWB), and the pure fiber, cellulose, on Nnitrosomethylurea (NMU)-induced mammary tumorigenesis was assessed in F344 female rats. SWWB (45% total dietary fiber, TDF) was added to the AEN-76A high-fat diet at 9, 12, 15 and 18%; cellulose (98% TDF) was added to the same diet at 4.5, 6, 7.5 and 9%, to give equivalent amounts of TDF. The experimental diets were fed 3 days post-NMU and continued for a period of 25 weeks, at which time the experiment was terminated and tumors enumerated. It was found that significant inhibition of mammary carcinoma occurred only at 9% SWWB, nonsignificant inhibition occurred at 12% SWWB, and no inhibition was seen at higher doses. Cellulose-fed animals exhibited consistently higher tumor yields regardless of dose. The difference in tumor yields between the 9% SWWB group and the remaining seven groups was attributable to an increased incidence in tumors characterized histologically as intraductal proliferation and ductal carcinoma in situ in the latter. Analysis of blood, urine and fecal estrogens was conducted to test whether dietary fiber exerted its tumor-inhibiting effect by altering the enterohepatic recycling of estrogens. Although SWWB, in general, lowered urinary estrogen excretion, increased fecal estrogen excretion and lowered blood estrogens, there was no consistent correlation between the amount of SWWB consumed, estrogen status and tumor yields. These results suggest that (i) Wheat bran fiber at 9%, or minor constituents associated with it, contain anti-promoting properties that cellulose lacks; (ii) SWWB appears to exert its effects by suppressing the clonal expansion phase of mammary carcinogenesis; (iii) there is an upper limit (12-15% w/w) to the protective effects of SWWB; and (iv) the effects of SWWB on mammary tumorigenesis may not be attributed to alterations in the enterohepatic recycling of estrogens.