Page last updated: 2024-10-20

uric acid and Osteoporotic Fractures

uric acid has been researched along with Osteoporotic Fractures in 17 studies

Uric Acid: An oxidation product, via XANTHINE OXIDASE, of oxypurines such as XANTHINE and HYPOXANTHINE. It is the final oxidation product of purine catabolism in humans and primates, whereas in most other mammals URATE OXIDASE further oxidizes it to ALLANTOIN.
uric acid : An oxopurine that is the final oxidation product of purine metabolism.
6-hydroxy-1H-purine-2,8(7H,9H)-dione : A tautomer of uric acid having oxo groups at C-2 and C-8 and a hydroxy group at C-6.
7,9-dihydro-1H-purine-2,6,8(3H)-trione : An oxopurine in which the purine ring is substituted by oxo groups at positions 2, 6, and 8.

Osteoporotic Fractures: Breaks in bones resulting from low bone mass and microarchitectural deterioration characteristic of OSTEOPOROSIS.

Research Excerpts

ExcerptRelevanceReference
"Incident osteoporotic fractures were considered as any new fractures occurring at the usual sites of osteoporotic fractures."5.42Serum uric acid and incident osteoporotic fractures in old people: The PRO.V.A study. ( Baggio, G; Bolzetta, F; Corti, MC; Crepaldi, G; De Rui, M; Maggi, S; Manzato, E; Noale, M; Perissinotto, E; Sergi, G; Toffanello, ED; Veronese, N; Zambon, S, 2015)
"Hip fractures were not significantly associated with UA."5.40Association of serum uric acid and incident nonspine fractures in elderly men: the Osteoporotic Fractures in Men (MrOS) study. ( Cawthon, PM; Lane, NE; Lay, YA; Lui, LY; Orwoll, E; Parimi, N; Wise, BL; Yao, W, 2014)
"Serum uric acid (SUA) accounts for about 50% of extracellular antioxidant activity, suggesting that hyperuricemia may have a protective role in diseases characterized by high levels of oxidative stress, such as osteoporosis."4.93Hyperuricemia protects against low bone mineral density, osteoporosis and fractures: a systematic review and meta-analysis. ( Bano, G; Caccialanza, R; Carraro, S; Cereda, E; Luchini, C; Manzato, E; Nicetto, D; Sergi, G; Solmi, M; Trevisan, C; Veronese, N, 2016)
" The presence of abnormal calcium and phosphorus metabolism was proved comparing hypercalciuria patients with normocalciuria ones."3.81Calcium and phosphorus metabolism and lithogenic factors in patients with osteoporotic fracture. ( Arrabal Martín, M; Arrabal-Polo, MA; Cano Gea, R; Cano-García, MC; Ochoa-Hortal Rull, MÁ; Reyes García, R, 2015)
"Using a Danish Register cohort of 86,039 adult new allopurinol users and propensity score matched controls, we found that gout requiring allopurinol prescription was associated with an increased fracture risk."3.81Is allopurinol use associated with an excess risk of osteoporotic fracture? A National Prescription Registry study. ( Abrahamsen, B; Bone, KW; Cooper, C; Dennison, EM; Harvey, NC; Rubin, KH; Schwarz, P, 2015)
"Incident osteoporotic fractures were considered as any new fractures occurring at the usual sites of osteoporotic fractures."1.42Serum uric acid and incident osteoporotic fractures in old people: The PRO.V.A study. ( Baggio, G; Bolzetta, F; Corti, MC; Crepaldi, G; De Rui, M; Maggi, S; Manzato, E; Noale, M; Perissinotto, E; Sergi, G; Toffanello, ED; Veronese, N; Zambon, S, 2015)
"Hip fractures were not significantly associated with UA."1.40Association of serum uric acid and incident nonspine fractures in elderly men: the Osteoporotic Fractures in Men (MrOS) study. ( Cawthon, PM; Lane, NE; Lay, YA; Lui, LY; Orwoll, E; Parimi, N; Wise, BL; Yao, W, 2014)

Research

Studies (17)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's0 (0.00)29.6817
2010's12 (70.59)24.3611
2020's5 (29.41)2.80

Authors

AuthorsStudies
Senosi, MR1
Fathi, HM1
Baki, NMA1
Zaki, O1
Magdy, AM1
Gheita, TA1
Xu, N1
Wang, Y2
Chen, Y1
Guo, YN1
Li, RX1
Zhou, YM1
Xu, J1
Lin, KM1
Lu, CL1
Hung, KC1
Wu, PC1
Pan, CF1
Wu, CJ1
Syu, RS1
Chen, JS1
Hsiao, PJ1
Lu, KC1
Iki, M1
Yura, A1
Fujita, Y1
Kouda, K1
Tachiki, T1
Tamaki, J1
Sato, Y1
Moon, JS1
Hamada, M1
Kajita, E1
Okamoto, N1
Kurumatani, N1
Lai, SW1
Kuo, YH1
Liao, KF1
Brozek, W1
Preyer, O1
Concin, H1
Nagel, G1
Ulmer, H1
Zitt, E1
Yin, P1
Lv, H1
Li, Y1
Meng, Y1
Zhang, L1
Tang, P1
Han, W1
Bai, X1
Wang, N1
Han, L1
Sun, X1
Chen, X1
Zhou, R1
Zhong, W1
Hu, C1
Lu, S1
Chai, Y1
Ahn, SH2
Lee, SH2
Kim, BJ2
Lim, KH1
Bae, SJ2
Kim, EH1
Kim, HK2
Choe, JW1
Koh, JM2
Kim, GS2
Lane, NE1
Parimi, N1
Lui, LY1
Wise, BL1
Yao, W1
Lay, YA1
Cawthon, PM1
Orwoll, E1
Baek, S1
Kim, SH1
Jo, MW1
Choe, J1
Park, GM1
Kim, YH1
Ochoa-Hortal Rull, MÁ1
Cano-García, MC1
Arrabal Martín, M1
Cano Gea, R1
Reyes García, R1
Arrabal-Polo, MA1
Veronese, N2
Bolzetta, F1
De Rui, M1
Maggi, S1
Noale, M1
Zambon, S1
Corti, MC1
Toffanello, ED1
Baggio, G1
Perissinotto, E1
Crepaldi, G1
Manzato, E2
Sergi, G2
Dennison, EM1
Rubin, KH1
Schwarz, P1
Harvey, NC1
Bone, KW1
Cooper, C1
Abrahamsen, B1
Muka, T1
de Jonge, EA1
Kiefte-de Jong, JC1
Uitterlinden, AG1
Hofman, A1
Dehghan, A1
Zillikens, MC1
Franco, OH1
Rivadeneira, F1
Carraro, S1
Bano, G1
Trevisan, C1
Solmi, M1
Luchini, C1
Caccialanza, R1
Nicetto, D1
Cereda, E1

Clinical Trials (1)

Trial Overview

TrialPhaseEnrollmentStudy TypeStart DateStatus
The Effect of Postprandial Hyperglycemia on the Arterial Stiffness in Patients With Type 2 Diabetes[NCT01159938]Phase 472 participants (Actual)Interventional2010-10-31Completed
[information is prepared from clinicaltrials.gov, extracted Sep-2024]

Trial Outcomes

Change in Blood Glucose (BG)

Changes in BG from the baseline [30-minute (min) pre-breakfast] are reported. (NCT01159938)
Timeframe: 30 mins (pre-breakfast), 50, 110 ,170, and 230 mins (post-breakfast)

,,,,
Interventionmillimoles per liter (mmol/L) (Mean)
50-Min Post-Breakfast (n=24, 21, 22, 24, 24)110-Min Post-Breakfast (n= 25, 21, 22, 24, 24)170-Min Post-Breakfast (n= 25, 21, 22, 24, 24)230-Min Post-Breakfast (n= 25, 21, 22, 24, 24)
Healthy Participants0.07-0.15-0.36-0.54
T2DM With Albuminuria (High Postprandial Glucose)4.984.733.141.78
T2DM With Albuminuria (Low Postprandial Glucose)3.392.520.29-0.92
T2DM With Normal UAER (High Postprandial Glucose)5.595.583.651.79
T2DM With Normal UAER (Low Postprandial Glucose)3.232.591.26-0.13

Change in Peripheral Artery Tonometry (PAT)

The PAT device is a pneumatic plethysmograph that applies uniform pressure to the surface of each finger tip and measures digital pulse amplitude. The PAT was reported as a percentage of pulse amplitude and expressed as the ratio of post deflation to baseline pulse amplitude in hyperemic finger divided by the same ratio in the contralateral finger that served as a control. The change in PAT from baseline [30-minute (min) pre-breakfast] is reported. (NCT01159938)
Timeframe: 30 mins (pre-breakfast), 120 and 240 mins (post-breakfast)

,,,,
Interventionpercentage of pulse amplitude (Mean)
120-Min Post-Breakfast (n= 23, 20, 22, 23, 23)240-Min Post-Breakfast (n= 24, 21, 22, 23, 21)
Healthy Participants0.030.15
T2DM With Albuminuria (High Postprandial Glucose)0.090.23
T2DM With Albuminuria (Low Postprandial Glucose)0.110.32
T2DM With Normal UAER (High Postprandial Glucose)0.360.36
T2DM With Normal UAER (Low Postprandial Glucose)-0.050.24

Change in Postprandial Pulse Wave Velocity (PWV)

The PWV measured arterial stiffness in the aortic and brachial arteries of healthy participants and T2DM participants. Changes in PWV from baseline [30-minute (min) pre-breakfast] are reported. (NCT01159938)
Timeframe: 30 mins (pre-breakfast), 60, 120, 180 and 240 mins (post-breakfast)

,,,,
Interventionmeters per second (m/sec) (Mean)
60-Min Post-Breakfast (Aortic;n=22,21,22,23,22)120-Min Post-Breakfast (Aortic;n=22,21,22,23,22)180-Min Post-Breakfast (Aortic;n=23,21,22,23,22)240-Min Post-Breakfast (Aortic;n=23,21,22,23,22)60-Min Post-Breakfast (Brachial;n=23,21,22,24,23)120-Min Post-Breakfast (Brachial;n=22,21,22,24,23)180-Min Post-Breakfast (Brachial;n=24,21,22,24,23)240-Min Post-Breakfast (Brachial;n=23,21,22,24,23)
Healthy Participants-0.260.25-0.000.99-0.130.23-0.37-0.10
T2DM With Albuminuria (High Postprandial Glucose)-0.740.04-0.32-0.090.230.09-0.060.17
T2DM With Albuminuria (Low Postprandial Glucose)-0.91-0.580.220.000.030.090.350.41
T2DM With Normal UAER (High Postprandial Glucose)-0.520.090.480.610.190.250.550.35
T2DM With Normal UAER (Low Postprandial Glucose)0.220.750.941.65-0.06-0.04-0.230.23

Change in Pulse Wave Amplitude (PWA)

The PWA measured systemic arterial stiffness (augmentation index). PWA was reported as a percentage of systolic peak and calculated as the difference between second and first systolic peak in an ascending aortic pulse pressure waveform divided by the first systolic peak then multiplied by 100. The change in PWA from baseline [30-minute (min) pre-breakfast] is reported. (NCT01159938)
Timeframe: 30 mins (pre-breakfast), 60, 120, 180 and 240 mins (post-breakfast)

,,,,
Interventionpercentage of systolic peak (Mean)
60-Min Post-Breakfast120-Min Post-Breakfast180-Min Post-Breakfast240-Min Post-Breakfast
Healthy Participants-4.4-2.9-1.92.1
T2DM With Albuminuria (High Postprandial Glucose)-4.1-3.7-2.3-2.2
T2DM With Albuminuria (Low Postprandial Glucose)-0.6-1.7-0.50.6
T2DM With Normal UAER (High Postprandial Glucose)-2.3-2.91.0-0.7
T2DM With Normal UAER (Low Postprandial Glucose)-2.5-2.3-1.1-0.6

Change in QT Interval on Electrocardiogram (ECG)

QT interval is a measure of time from the beginning of the QRS complex to the end of the T wave on an ECG during which contraction of the ventricles occurs. Changes in QT interval from baseline [30-minute (min) pre-breakfast] are reported. (NCT01159938)
Timeframe: 30 mins (pre-breakfast), 60, 120, 180 and 240 mins (post-breakfast)

,,,,
Interventionmilliseconds (msec) (Mean)
60-Min Post-Breakfast (n=25, 20, 21, 24, 24)120-Min Post-Breakfast (n=25, 21, 21, 24, 24)180-Min Post-Breakfast (n=25, 21, 21, 23 ,24)240-Min Post-Breakfast (n=25, 21, 21, 24, 24)
Healthy Participants12.1-0.48.310.4
T2DM With Albuminuria (High Postprandial Glucose)23.818.019.118.5
T2DM With Albuminuria (Low Postprandial Glucose)6.5-0.85.87.2
T2DM With Normal UAER (High Postprandial Glucose)11.01.42.55.0
T2DM With Normal UAER (Low Postprandial Glucose)11.32.84.55.6

Postprandial Pulse Wave Velocity (PWV) in Type 2 Diabetes Mellitus (T2DM) Participants at 120 Minutes (Mins) Post-Breakfast

The PWV measured arterial stiffness in the aortic and brachial arteries of T2DM participants. The Least Square (LS) mean was estimated from a mixed-effect analysis of covariance (ANCOVA) model that was adjusted for age, body mass index (BMI), visit, group, condition, group by condition, and random participant. (NCT01159938)
Timeframe: 120 mins (post-breakfast)

,,,,,
Interventionmeters per second (m/sec) (Least Squares Mean)
Aortic PWV (n=45, 44, 21, 22, 24, 22)Brachial PWV (n=45, 45, 21, 22, 24, 23)
T2DM Overall (High Postprandial Glucose)10.967.66
T2DM Overall (Low Postprandial Glucose)10.767.86
T2DM With Albuminuria (High Postprandial Glucose)11.187.84
T2DM With Albuminuria (Low Postprandial Glucose)10.618.03
T2DM With Normal UAER (High Postprandial Glucose)10.747.49
T2DM With Normal UAER (Low Postprandial Glucose)10.927.70

Postprandial Pulse Wave Velocity (PWV) in Type 2 Diabetes Mellitus (T2DM) Participants at 180 Minutes (Mins) Post-Breakfast

The PWV measured arterial stiffness in the aortic and brachial arteries of T2DM participants. The Least Square (LS) mean was estimated from a mixed-effect analysis of covariance (ANCOVA) model that was adjusted for age, body mass index (BMI), visit, group, condition, group by condition, and random participant. (NCT01159938)
Timeframe: 180 mins (post-breakfast)

,,,,,
Interventionmeters per second (m/sec) (Least Squares Mean)
Aortic PWV (n= 45, 45, 21, 22, 24, 23)Brachial PWV (n= 45, 45, 21, 22, 24, 23)
T2DM Overall (High Postprandial Glucose)10.997.75
T2DM Overall (Low Postprandial Glucose)11.287.91
T2DM With Albuminuria (High Postprandial Glucose)11.047.75
T2DM With Albuminuria (Low Postprandial Glucose)11.478.32
T2DM With Normal UAER (High Postprandial Glucose)10.957.76
T2DM With Normal UAER (Low Postprandial Glucose)11.097.50

Postprandial Pulse Wave Velocity (PWV) in Type 2 Diabetes Mellitus (T2DM) Participants at 240 Minutes (Mins) Post-Breakfast

The PWV measured arterial stiffness in the aortic and brachial arteries of T2DM participants. The Least Square (LS) mean was estimated from a mixed-effect analysis of covariance (ANCOVA) model that was adjusted for age, body mass index (BMI), visit, group, condition, group by condition, and random participant. (NCT01159938)
Timeframe: 240 mins (post-breakfast)

,,,,,
Interventionmeters per second (m/sec) (Least Squares Mean)
Aortic PWV (n= 45, 45, 21, 22, 24, 23)Brachial PWV (n= 45, 45, 21, 22, 24, 23)
T2DM Overall (High Postprandial Glucose)11.097.76
T2DM Overall (Low Postprandial Glucose)11.578.16
T2DM With Albuminuria (High Postprandial Glucose)10.997.99
T2DM With Albuminuria (Low Postprandial Glucose)11.168.42
T2DM With Normal UAER (High Postprandial Glucose)11.197.53
T2DM With Normal UAER (Low Postprandial Glucose)11.987.90

Postprandial Pulse Wave Velocity (PWV) in Type 2 Diabetes Mellitus (T2DM) Participants at 30 Minutes (Mins) Pre-Breakfast

The PWV measured arterial stiffness in the aortic and brachial arteries of T2DM participants. The Least Square (LS) mean was estimated from a mixed-effect analysis of covariance (ANCOVA) model that was adjusted for age, body mass index (BMI), visit, group, condition, group by condition, and random participant. (NCT01159938)
Timeframe: 30 mins (pre-breakfast)

,,,,,
Interventionmeters per second (m/s) (Least Squares Mean)
Aortic PWV (n=44, 44, 21, 22, 23, 22)Brachial PWV (n=45, 45, 21, 22, 24, 23)
T2DM Overall (High Postprandial Glucose)10.997.49
T2DM Overall (Low Postprandial Glucose)10.737.84
T2DM With Albuminuria (High Postprandial Glucose)11.567.79
T2DM With Albuminuria (Low Postprandial Glucose)11.317.99
T2DM With Normal UAER (High Postprandial Glucose)10.417.19
T2DM With Normal UAER (Low Postprandial Glucose)10.157.68

Postprandial Pulse Wave Velocity (PWV) in Type 2 Diabetes Mellitus (T2DM) Participants at 60 Minutes (Mins) Post-Breakfast

The PWV measured arterial stiffness in the aortic and brachial arteries of T2DM participants. The Least Square (LS) mean was estimated from a mixed-effect analysis of covariance (ANCOVA) model that was adjusted for age, body mass index (BMI), visit, group, condition, group by condition, and random participant. (NCT01159938)
Timeframe: 60 mins (post-breakfast)

,,,,,
Interventionmeters per second (m/sec) (Least Squares Mean)
Aortic PWV (n= 44, 45, 21, 22, 23, 23)Brachial PWV (n=45, 45, 21, 22, 24, 23)
T2DM Overall (High Postprandial Glucose)10.197.71
T2DM Overall (Low Postprandial Glucose)10.387.80
T2DM With Albuminuria (High Postprandial Glucose)10.268.03
T2DM With Albuminuria (Low Postprandial Glucose)10.228.00
T2DM With Normal UAER (High Postprandial Glucose)10.127.39
T2DM With Normal UAER (Low Postprandial Glucose)10.537.61

Reviews

3 reviews available for uric acid and Osteoporotic Fractures

ArticleYear
The Paradoxical Role of Uric Acid in Osteoporosis.
    Nutrients, 2019, Sep-05, Volume: 11, Issue:9

    Topics: Animals; Biomarkers; Bone and Bones; Bone Remodeling; Humans; Hyperparathyroidism, Secondary; Hyperu

2019
The association between serum uric acid level and the risk of fractures: a systematic review and meta-analysis.
    Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2017, Volume: 28, Issue:8

    Topics: Biomarkers; Humans; Osteoporotic Fractures; Risk Assessment; Sensitivity and Specificity; Uric Acid

2017
Hyperuricemia protects against low bone mineral density, osteoporosis and fractures: a systematic review and meta-analysis.
    European journal of clinical investigation, 2016, Volume: 46, Issue:11

    Topics: Bone Density; Epidemiologic Methods; Female; Humans; Hyperuricemia; Male; Osteoporosis; Osteoporotic

2016

Other Studies

14 other studies available for uric acid and Osteoporotic Fractures

ArticleYear
Bone mineral density, vitamin D receptor (VDR) gene polymorphisms, fracture risk assessment (FRAX), and trabecular bone score (TBS) in rheumatoid arthritis patients: connecting pieces of the puzzle.
    Clinical rheumatology, 2022, Volume: 41, Issue:5

    Topics: Absorptiometry, Photon; Adult; Arthritis, Rheumatoid; Bone Density; Cancellous Bone; Female; Humans;

2022
The associations between uric acid with BMDs and risk of the 10-year probability of fractures in Chinese patients with T2DM stratified by age and gender.
    Endocrine, 2023, Volume: 80, Issue:3

    Topics: Absorptiometry, Photon; Aged; Bone Density; Cross-Sectional Studies; Diabetes Mellitus, Type 2; East

2023
Relationships between serum uric acid concentrations, uric acid lowering medications, and vertebral fracture in community-dwelling elderly Japanese men: Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) Cohort Study.
    Bone, 2020, Volume: 139

    Topics: Aged; Bone Density; Cohort Studies; Follow-Up Studies; Humans; Independent Living; Japan; Male; Oste

2020
Serum uric acid and the risk of incident hip fractures in women and men.
    Maturitas, 2021, Volume: 154

    Topics: Accidental Falls; Bone Density; Female; Fractures, Bone; Hip Fractures; Humans; Incidence; Male; Ost

2021
Response to comments on the paper "serum uric acid is associated with incident hip fractures in women and men".
    Maturitas, 2021, Volume: 154

    Topics: Bone Density; Hip Fractures; Humans; Osteoporotic Fractures; Uric Acid

2021
Association between lumbar bone mineral density and serum uric acid in postmenopausal women: a cross-sectional study of healthy Chinese population.
    Archives of osteoporosis, 2017, Volume: 12, Issue:1

    Topics: Absorptiometry, Photon; Aged; Aged, 80 and over; Body Mass Index; Bone Density; Bone Diseases, Metab

2017
Association of gout with osteoporotic fractures.
    International orthopaedics, 2018, Volume: 42, Issue:9

    Topics: Aged; Aged, 80 and over; Bone Density; Cross-Sectional Studies; Female; Gout; Humans; Male; Middle A

2018
Higher serum uric acid is associated with higher bone mass, lower bone turnover, and lower prevalence of vertebral fracture in healthy postmenopausal women.
    Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2013, Volume: 24, Issue:12

    Topics: Adult; Aged; Aged, 80 and over; Animals; Anthropometry; Antioxidants; Bone Density; Bone Marrow Cell

2013
Association of serum uric acid and incident nonspine fractures in elderly men: the Osteoporotic Fractures in Men (MrOS) study.
    Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2014, Volume: 29, Issue:7

    Topics: Aged; Allopurinol; Bone Density; Cohort Studies; Gout; Hip Fractures; Humans; Incidence; Male; Osteo

2014
Higher serum uric acid as a protective factor against incident osteoporotic fractures in Korean men: a longitudinal study using the National Claim Registry.
    Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2014, Volume: 25, Issue:7

    Topics: Aged; Aged, 80 and over; Biomarkers; Humans; Incidence; Longitudinal Studies; Male; Middle Aged; Ost

2014
Calcium and phosphorus metabolism and lithogenic factors in patients with osteoporotic fracture.
    Actas urologicas espanolas, 2015, Volume: 39, Issue:5

    Topics: Aged; Aged, 80 and over; Alkaline Phosphatase; Calcium; Citric Acid; Fasting; Female; Humans; Hyperc

2015
Serum uric acid and incident osteoporotic fractures in old people: The PRO.V.A study.
    Bone, 2015, Volume: 79

    Topics: Absorptiometry, Photon; Aged; Female; Humans; Incidence; Male; Osteoporosis; Osteoporotic Fractures;

2015
Is allopurinol use associated with an excess risk of osteoporotic fracture? A National Prescription Registry study.
    Archives of osteoporosis, 2015, Volume: 10

    Topics: Adult; Aged; Aged, 80 and over; Allopurinol; Comorbidity; Denmark; Female; Gout; Gout Suppressants;

2015
The Influence of Serum Uric Acid on Bone Mineral Density, Hip Geometry, and Fracture Risk: The Rotterdam Study.
    The Journal of clinical endocrinology and metabolism, 2016, Volume: 101, Issue:3

    Topics: Aged; Bone Density; Cohort Studies; Female; Femur Neck; Hip Fractures; Humans; Male; Middle Aged; Ne

2016