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goat anti-fetuin-a  (Santa Cruz Biotechnology)


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    Santa Cruz Biotechnology goat anti-fetuin-a
    Goat Anti Fetuin A, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/goat+anti+fetuin+a+antibody/goat+anti+fetuin+a+antibody/pm35888749-221-49-53
    Average 90 stars, based on 1 article reviews
    goat anti-fetuin-a - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Membrane:

    Article Title: Retention of fetuin-A in renal tubular lumen protects the kidney from nephrocalcinosis in rats.
    Article Snippet: Isao Matsui, Takayuki Hamano, Satoshi Mikami, Kazunori Inoue, Akihiro Shimomura, Yasuyuki Nagasawa, Toshimi Michigami, Tomokazu Ohnishi, Naohiko Fujii, Chikako Nakano, Yasuo Kusunoki, Harumi Kitamura, Hirotsugu Iwatani, Yoshitsugu Takabatake, Jun-ya Kaimori, Go Matsuba, Kento Okoshi, Hiromi Kimura-Suda, Yoshiharu Tsubakihara, Hiromi Rakugi, and Yoshitaka Isaka Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Comprehensive Kidney Disease Research, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Internal Medicine, Higashi-Kohri Hospital, Osaka, Japan; Division of Kidney and Dialysis, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan; Department of Bone and Mineral Research, Osaka Medical Center and Research Institute for Maternal and Child Health, Osaka, Japan; Department of Oral Biochemistry, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan; Department of Internal Medicine, Hyogo Prefectural Nishinomiya Hospital, Hyogo, Japan; Department of Advanced Technology for Transplantation, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Polymer Science and Engineering, Yamagata University Graduate School of Science and Engineering, Yamagata, Japan; and Department of Bioand Material Photonics, Chitose Institute of Science and Technology, Hokkaido, Japan

    Incubation:

    Article Title: Retention of fetuin-A in renal tubular lumen protects the kidney from nephrocalcinosis in rats.
    Article Snippet: Isao Matsui, Takayuki Hamano, Satoshi Mikami, Kazunori Inoue, Akihiro Shimomura, Yasuyuki Nagasawa, Toshimi Michigami, Tomokazu Ohnishi, Naohiko Fujii, Chikako Nakano, Yasuo Kusunoki, Harumi Kitamura, Hirotsugu Iwatani, Yoshitsugu Takabatake, Jun-ya Kaimori, Go Matsuba, Kento Okoshi, Hiromi Kimura-Suda, Yoshiharu Tsubakihara, Hiromi Rakugi, and Yoshitaka Isaka Department of Geriatric Medicine and Nephrology, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Comprehensive Kidney Disease Research, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Internal Medicine, Higashi-Kohri Hospital, Osaka, Japan; Division of Kidney and Dialysis, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan; Department of Bone and Mineral Research, Osaka Medical Center and Research Institute for Maternal and Child Health, Osaka, Japan; Department of Oral Biochemistry, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan; Department of Internal Medicine, Hyogo Prefectural Nishinomiya Hospital, Hyogo, Japan; Department of Advanced Technology for Transplantation, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Polymer Science and Engineering, Yamagata University Graduate School of Science and Engineering, Yamagata, Japan; and Department of Bioand Material Photonics, Chitose Institute of Science and Technology, Hokkaido, Japan



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    goat anti-fetuin-a  (Santa Cruz Biotechnology)
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    Santa Cruz Biotechnology goat anti-fetuin-a
    Goat Anti Fetuin A, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Stratified associations between pre-diagnostic <t>fetuin-A</t> and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index
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    Stratified associations between pre-diagnostic <t>fetuin-A</t> and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index
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    goat anti-fetuin-a sc-9668  (Santa Cruz Biotechnology)
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    Stratified associations between pre-diagnostic <t>fetuin-A</t> and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index
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    goat anti fetuin a antibody  (Santa Cruz Biotechnology)
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    Stratified associations between pre-diagnostic <t>fetuin-A</t> and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index
    Goat Anti Fetuin A Antibody, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/goat+anti+fetuin+a+antibody/fetuin-A+Antibody/pmc07447633-327-5-8
    Average 93 stars, based on 1 article reviews
    goat anti fetuin a antibody - by Bioz Stars, 2026-09
    93/100 stars
    		  Buy from Supplier

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    Stratified associations between pre-diagnostic fetuin-A and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index

    Journal: Cardiovascular Diabetology

    Article Title: Fetuin-A and risk of diabetes-related vascular complications: a prospective study

    doi: 10.1186/s12933-021-01439-8

    Figure Lengend Snippet: Stratified associations between pre-diagnostic fetuin-A and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index

    Article Snippet: Fetuin-A was determined with an immunoturbidimetric method with specific polyclonal goat anti-human fetuin-A antibodies to human fetuin-A (BioVendor Laboratory Medicine, Modreci, Czech Republic).

    Techniques: Diagnostic Assay, Activity Assay, Standard Deviation, Filtration

    Stratified associations between pre-diagnostic fetuin-A and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index

    Journal: Cardiovascular Diabetology

    Article Title: Fetuin-A and risk of diabetes-related vascular complications: a prospective study

    doi: 10.1186/s12933-021-01439-8

    Figure Lengend Snippet: Stratified associations between pre-diagnostic fetuin-A and incident diabetes-related complications. A P for interaction with sex p = 0.18 for complications overall, p = 0.18 for microvascular and p = 0.56 for macrovascular complications. B P for interaction with baseline glucose (glucose ≥ 100 mg/dL vs glucose < 100 mg/dL) p = 0.85 for complications overall, p = 0.67 with microvascular and p = 0.31 for macrovascular complications. C P for interaction with FLI (FLI < 60 vs FLI ≥ 60) p = 0.94 for complications overall, p = 0.65 for microvascular complications. D P for interaction with baseline fasting status (fasted vs non-fasted) p = 0.36 for complications overall and p = 0.57 with microvascular complications. E P for interaction with baseline eGFR (eGFR ≥ 80 mL/min/1.73 m 2 vs < 80 mL/min/1.73 m 2 ) p = 0.10 for complications overall, p = 0.15 for microvascular complications. There were not enough macrovascular events in the subgroups with baseline eGFR < 80 mL/min/1.73 m 2 , FLI < 60 and fasted subgroup to perform the analysis. Associations were assessed by Cox proportional hazards models and are shown per one unit SD increase (0.06 g/L) in pre-diagnostic fetuin-A concentrations. Models are adjusted for age at diabetes diagnosis (underlying time scale), duration between recruitment and diabetes diagnosis, sex, education (three categories: no or in vocational training, vocational training/technical school, technical college or university), alcohol intake (six categories: < 6.1 g/day, 6.1–12.0 g/day, 12.1–24.0 g/day, 24.1–60.0 g/day, 60.1–96.0 g/day, > 96.0 g/day), smoking (four categories: never smoker, former smoker, current smoker < 20 cigarettes/day, current heavy smoker ≥ 20 cigarettes/day), physical activity (sports ≤ 4 h/week, sports > 4 h/week, biking < 2.5 h/week, biking 2.5–4.9 h/week, biking ≥ 5 h/week), body mass index, waist circumference, history of hypertension, hyperlipidemia, antihypertensive and lipid lowering medications at the time of recruitment. HR, hazard ratio; CI, confidence interval; SD, standard deviation; eGFR, estimated glomerular filtration rate; FLI, fatty liver index

    Article Snippet: Fetuin-A was determined with an immunoturbidimetric method with specific polyclonal goat anti-human fetuin-A antibodies to human fetuin-A (BioVendor Laboratory Medicine, Modreci, Czech Republic).

    Techniques: Diagnostic Assay, Activity Assay, Standard Deviation, Filtration