Literature DB >> 23633197

Comparisons of immunoassay and mass spectrometry measurements of serum estradiol levels and their influence on clinical association studies in men.

Claes Ohlsson1, Maria E Nilsson, Asa Tivesten, Henrik Ryberg, Dan Mellström, Magnus K Karlsson, Östen Ljunggren, Fernand Labrie, Eric S Orwoll, David M Lee, Stephen R Pye, Terence W O'Neill, Joseph D Finn, Judith E Adams, Kate A Ward, Steven Boonen, Gyorgy Bartfai, Felipe F Casanueva, Gianni Forti, Aleksander Giwercman, Thang S Han, Ilpo T Huhtaniemi, Krzysztof Kula, Michael E J Lean, Neil Pendleton, Margus Punab, Dirk Vanderschueren, Frederick C W Wu, Liesbeth Vandenput.   

Abstract

CONTEXT: Immunoassay-based techniques, routinely used to measure serum estradiol (E2), are known to have reduced specificity, especially at lower concentrations, when compared with the gold standard technique of mass spectrometry (MS). Different measurement techniques may be responsible for the conflicting results of associations between serum E2 and clinical phenotypes in men.
OBJECTIVE: Our objective was to compare immunoassay and MS measurements of E2 levels in men and evaluate associations with clinical phenotypes. DESIGN AND
SETTING: Middle-aged and older male subjects participating in the population-based Osteoporotic Fractures in Men (MrOS) Sweden study (n = 2599), MrOS US (n = 688), and the European Male Aging Study (n = 2908) were included. MAIN OUTCOME MEASURES: Immunoassay and MS measurements of serum E2 were compared and related to bone mineral density (BMD; measured by dual energy x-ray absorptiometry) and ankle-brachial index.
RESULTS: Within each cohort, serum E2 levels obtained by immunoassay and MS correlated moderately (Spearman rank correlation coefficient rS 0.53-0.76). Serum C-reactive protein (CRP) levels associated significantly (albeit to a low extent, rS = 0.29) with immunoassay E2 but not with MS E2 levels. Similar associations of immunoassay E2 and MS E2 were seen with lumbar spine and total hip BMD, independent of serum CRP. However, immunoassay E2, but not MS E2, associated inversely with ankle-brachial index, and this correlation was lost after adjustment for CRP.
CONCLUSIONS: Our findings suggest interference in the immunoassay E2 analyses, possibly by CRP or a CRP-associated factor. Although associations with BMD remain unaffected, this might imply for a reevaluation of previous association studies between immunoassay E2 levels and inflammation-related outcomes.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23633197      PMCID: PMC3667264          DOI: 10.1210/jc.2012-3861

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


Immunoassay-based techniques are routinely used in clinical and research settings for the measurement of serum estradiol (E2) levels. They have, however, a questionable specificity, especially at lower E2 concentrations, making this method unreliable in postmenopausal women and men (1–3). Assays based on mass spectrometry (MS) represent the gold standard method for the quantification of E2 in serum samples (4). E2 has a pivotal role for bone mineral density (BMD) in men, with both cross-sectional and prospective studies describing associations between serum E2, mostly measured by immunoassay-based techniques, and musculoskeletal outcomes (for review see Reference 5). However, the lack of precise MS-based E2 assays may have contributed to the conflicting results regarding the association between E2 and other, nonmusculoskeletal clinical outcomes in men, eg, mortality and cardiovascular disease (CVD) (6–11). The aim of the present study was to compare serum E2 levels assessed by both immunoassay-based techniques and MS technology in a large number of middle-aged and older men. We hypothesized that measurement of E2 concentrations by MS will be the more informative and reliable method and therefore should be used when investigating putative associations between serum E2 and clinical variables in men.

Materials and Methods

Study sample

The correlations between immunoassay and MS measurements of serum E2 were evaluated in the Osteoporotic Fractures in Men (MrOS) Sweden (n = 2599), MrOS US (n = 688), and European Male Aging Study (EMAS; n = 2908) cohorts. Details of the study sample are given in the Supplemental Material and Supplemental Tables 1–3 (published on The Endocrine Society's Journals Online web site at http://jcem.endojournals.org).

Serum analyses and clinical phenotypes

Serum E2 levels were measured by both immunoassay (RIA or electrochemiluminescence) and MS in each study subject for all 3 cohorts. Details are given in the Supplemental Material and Supplemental Tables 4 and 5. Serum levels of high-sensitivity C-reactive protein (CRP) in MrOS Sweden and EMAS were measured by an immunoturbidimetric and a chemiluminescent immunometric assay, respectively, as described in the Supplemental Material. Areal BMD of the lumbar spine and the proximal femur was assessed using dual-energy X-ray absorptiometry in MrOS Sweden and EMAS. Ankle-brachial index (ABI) in MrOS Sweden was calculated for each leg by dividing the posterior tibial systolic pressure by the upper extremity pressure, and the lowest ABI was used. Details of these measurements are given in the Supplemental Material. The assessment of the covariates in each cohort and of the parameters used for screening in MrOS Sweden is also described in the Supplemental Material.

Statistical analyses

Agreement of serum E2 assay techniques was evaluated by calculating Spearman rank correlation coefficients and visualized using Kernel density plots and Bland-Altman analyses. Associations among the study variables were examined with Spearman rank correlations. The independent associations between serum E2 levels, measured either by immunoassay or MS, and clinical phenotypes (lumbar spine and total hip BMD and ABI) were calculated using multiple linear regression models. Differences in the mean serum E2 levels, measured either by immunoassay or MS, according to quintiles of CRP were assessed using ANOVA followed by a Tukey's post hoc test. Values are given as means ± SD, unless otherwise indicated.

Results

Characteristics of the study subjects and assays

The baseline characteristics of the study subjects in the MrOS Sweden, MrOS US, and EMAS cohorts are shown in Supplemental Tables 1–3. The subjects from the MrOS Sweden and MrOS US cohorts are older men, whereas the participants in EMAS are middle-aged men. The characteristics of the immunoassays and MS techniques used to analyze serum E2 are presented in Supplemental Tables 4 and 5.

Assessment of agreement and bias between methods for the analysis of serum E2 in men

The MS techniques were cross-calibrated using 50 samples from the MrOS US study and displayed a strong correlation (Spearman rank correlation coefficient rS = 0.95, P < .001) (Supplemental Figure 1) (12). However, caution must be taken when interpreting or comparing this concordance level for the 2 MS methods because it was obtained from a small number of selected samples. For more details, see the Supplemental Material. When comparing the immunoassay and MS measurements of serum E2 in each of the 3 cohorts, rS was 0.53 in MrOS US (P < .001), 0.64 in MrOS Sweden (P < .001), and 0.76 in EMAS (P < .001) (3), demonstrating a rather moderate correlation (Figure 1A and Supplemental Figure 2). The distribution of the immunoassay and MS E2 concentrations in the Kernel density plots is shown in Supplemental Figure 3. The Bland-Altman plots showed that in the MrOS Sweden cohort, immunoassay E2 levels were on average slightly higher than those obtained with MS (Supplemental Figure 4A), whereas in the MrOS US cohort, immunoassay E2 levels were somewhat lower than those obtained by MS (Supplemental Figure 4B).
Figure 1.

Correlation between immunoassay and MS E2 and relation with CRP levels. A, Scatter plot of the correlation between E2 measured by immunoassay and MS in MrOS Sweden (n = 2599). The Spearman rank correlation coefficient (rS) as well as the linear regression line (solid line) and the line of full agreement (dashed line) is indicated. B, Mean serum E2 levels (±SE), measured either by immunoassay or MS, according to quintiles of serum CRP in MrOS Sweden. Limits of CRP levels were 1.56 or less for quintile 1, greater than 1.56 and 1.92 or less for quintile 2, greater than 1.92 and 2.44 or less for quintile 3, greater than 2.44 and 3.64 or less for quintile 4, and greater than 3.64 mg/L for quintile 5. a, P < .05 vs quintile 1; b, P < .05 vs quintile 2; c, P < .05 vs quintile 3; d, P < .05 vs quintile 4.

Correlation between immunoassay and MS E2 and relation with CRP levels. A, Scatter plot of the correlation between E2 measured by immunoassay and MS in MrOS Sweden (n = 2599). The Spearman rank correlation coefficient (rS) as well as the linear regression line (solid line) and the line of full agreement (dashed line) is indicated. B, Mean serum E2 levels (±SE), measured either by immunoassay or MS, according to quintiles of serum CRP in MrOS Sweden. Limits of CRP levels were 1.56 or less for quintile 1, greater than 1.56 and 1.92 or less for quintile 2, greater than 1.92 and 2.44 or less for quintile 3, greater than 2.44 and 3.64 or less for quintile 4, and greater than 3.64 mg/L for quintile 5. a, P < .05 vs quintile 1; b, P < .05 vs quintile 2; c, P < .05 vs quintile 3; d, P < .05 vs quintile 4.

Serum CRP levels associate with serum E2 levels measured by immunoassay

To investigate whether standard population characteristics associated differentially with both E2 assay techniques used, the MrOS Sweden cohort was used as a screening cohort to evaluate the associations between serum E2 levels obtained by either immunoassay or MS and general characteristics, metabolic parameters, CRP, and lifestyle factors (Supplemental Table 6). Importantly, specifically for serum CRP levels, the association differed substantially according to the E2 measurement technique: CRP levels associated significantly (albeit to a low extent) with immunoassay-based E2 levels (rS = 0.29, P < .001) but not with the E2 values measured by MS (rS = −0.01, P = NS) in MrOS Sweden (Supplemental Table 6). The fasting state did not affect this association (fasting serum samples, n = 1797, rS = 0.29, P < .001 for the immunoassay method; rS = −0.02, P = NS for the MS method). A similar association between serum CRP levels and E2 levels, measured by immunoassay (rS = 0.11, P < .001) but not by MS (rS = 0.03, P = NS) was also observed in the EMAS cohort. Analyzing serum E2, measured either by immunoassay or MS, according to quintiles of CRP, illustrated that with each quintile increment in serum CRP, there is also an increase in mean immunoassay E2 levels but not mean MS E2 values (Figure 1B).

Associations of immunoassay- and MS-based E2 levels with clinical phenotypes

Similar associations of immunoassay E2 and MS E2 were seen with lumbar spine and total hip BMD in both the MrOS Sweden and EMAS cohorts, independent of serum CRP levels (Table 1). As expected, ABI, which is lowered in atherosclerosis-based lower-extremity peripheral arterial disease (13), was negatively associated with serum CRP levels in the MrOS Sweden cohort. Importantly, serum E2 measured by immunoassay, but not by MS, was significantly inversely associated with ABI (Table 1). This association between immunoassay E2 and ABI was lost after adjustment for CRP levels.
Table 1.

Independent Associations Between Serum E2 Levels Measured Either by Immunoassay or MS and Sex Steroid-Related Phenotypes

Model 1
Model 2
Model 3
Immunoassay E2MS E2hsCRPImmunoassay E2hsCRPMS E2hsCRP
Lumbar spine BMD, g/cm2 per quintile
    MrOS Sweden0.016 ± 0.003 (<0.001)0.019 ± 0.003 (<0.001)0.001 ± 0.003 (NS)0.017 ± 0.003 (<0.001)−0.004 ± 0.003 (NS)0.019 ± 0.003 (<0.001)0.001 ± 0.003 (NS)
    EMAS0.014 ± 0.004 (<0.01)0.012 ± 0.005 (<0.05)−0.006 ± 0.005 (NS)0.014 ± 0.004 (0.001)−0.007 ± 0.005 (NS)0.012 ± 0.005 (0.01)−0.006 ± 0.005 (NS)
Total hip BMD, g/cm2 per quintile
    MrOS Sweden0.010 ± 0.002 (<0.001)0.013 ± 0.002 (<0.001)−0.004 ± 0.002 (<0.05)0.012 ± 0.002 (<0.001)−0.007 ± 0.002 (<0.001)0.012 ± 0.002 (<0.001)−0.004 ± 0.002 (NS)
    EMAS0.009 ± 0.003 (<0.05)0.008 ± 0.004 (<0.05)−0.005 ± 0.004 (NS)0.009 ± 0.003 (<0.01)−0.006 ± 0.004 (NS)0.009 ± 0.004 (<0.05)−0.006 ± 0.004 (NS)
ABI, ratio per quintile
    MrOS Sweden−0.007 ± 0.002 (<0.01)0.004 ± 0.002 (NS)−0.017 ± 0.002 (<0.001)0.003 ± 0.002 (NS)−0.016 ± 0.002 (<0.001)0.004 ± 0.002 (NS)−0.017 ± 0.002 (<0.001)

Abbreviation: hsCRP, high-sensitivity C-reactive protein. Age, BMI, and study center-adjusted multiple linear regression analyses with lumbar spine BMD, total hip BMD, or ABI as the dependent variable and immunoassay E2, MS E2, or hsCRP (model 1), immunoassay E2 and hsCRP (model 2), or MS E2 and hsCRP (model 3) as independent variables were conducted. Immunoassay E2, MS E2, and hsCRP were included as quintiles in the models. SE and β-values are given, with P values in parentheses. The BMD analyses included 2560 subjects from MrOS Sweden and 750 from EMAS. The ABI analyses included 2471 subjects from MrOS Sweden.

Independent Associations Between Serum E2 Levels Measured Either by Immunoassay or MS and Sex Steroid-Related Phenotypes Abbreviation: hsCRP, high-sensitivity C-reactive protein. Age, BMI, and study center-adjusted multiple linear regression analyses with lumbar spine BMD, total hip BMD, or ABI as the dependent variable and immunoassay E2, MS E2, or hsCRP (model 1), immunoassay E2 and hsCRP (model 2), or MS E2 and hsCRP (model 3) as independent variables were conducted. Immunoassay E2, MS E2, and hsCRP were included as quintiles in the models. SE and β-values are given, with P values in parentheses. The BMD analyses included 2560 subjects from MrOS Sweden and 750 from EMAS. The ABI analyses included 2471 subjects from MrOS Sweden.

Discussion

The 2 MS methods used to measure serum E2 levels in this study revealed a strong correlation, as was shown previously (12). Evaluation in each cohort of the association between the respective immunoassay and the MS technique showed a poor to moderate correlation, confirming previous reports comparing immunoassay and MS measurements of low serum E2 levels (1, 3). Therefore, the MS technique is considered the method of choice for the measurement of E2 levels in men and postmenopausal women. We went on to evaluate whether certain population characteristics associated differentially with immunoassay and MS E2 values to clarify the moderate association found between the assay techniques. Serum CRP levels, a general marker of inflammation, associated strongly with immunoassay E2 levels but not with MS E2 values. Mean immunoassay E2 levels also increased with each quintile increment in serum CRP, whereas MS E2 levels were unaffected. This suggests interference with the immunoassay-based measurements of serum E2, possibly by CRP or a CRP-associated factor. Previous studies investigating the relation between serum CRP and E2 levels in men provided conflicting results, probably because of different assay methods used (14–17). We then assessed the impact of this interference on the putative associations between serum E2 levels and clinical phenotypes. Peripheral arterial disease has been reported to be associated with endogenous sex hormone levels (8, 9). In the present study, immunoassay E2 but not MS E2 levels associated inversely with ABI. Importantly, this association was lost after adjustment for serum CRP, suggesting interference with the E2 immunoassay, possibly by CRP or a CRP-associated factor. This implies that the observed inverse relation between serum immunoassay E2 levels and ABI in the present study may be misleading. Also, previous findings of associations between high serum E2 levels and inflammation-related phenotypes such as atherosclerotic CVD (7, 8, 10) may have been the result of interference with the immunoassay-based E2 levels. Indeed, similar to the lack of association between MS-based E2 levels and ABI in the present study, we found no association between MS-based E2 levels and cardiovascular events in the Swedish MrOS study (11). Therefore, it seems appropriate to suggest a reevaluation of previous association studies between immunoassay-based E2 levels and CVD phenotypes or other inflammation-related end points in studies with MS E2 levels available. In this respect, a recent study by Yeap et al (18) reported a lack of association of low E2 levels measured by liquid chromatography tandem MS and CVD, diabetes, and frailty. As an alternative sex steroid-dependent phenotype, the relation between serum E2 and BMD was evaluated. We found similar associations between immunoassay E2 or MS E2 and lumbar spine and total hip BMD, regardless of CRP levels. Moreover, Khosla et al (19) confirmed that serum E2 levels analyzed by MS showed a similar correlation with BMD parameters, as previously found for levels measured by a validated high-sensitive RIA. This suggests that there is no detected interference in the relation between serum E2 levels measured by immunoassay and clinical phenotypes when the investigated phenotype is BMD. We can only speculate on the nature of the interference in the E2 immunoassay. Conventional immunoassay methodology is well known for its limitations, which include the risk of interference from antireagent antibodies, antianalyte antibodies, cross-reactivity with structurally related compounds, matrix effects, and the high-dose hook effect (20). Many naturally occurring proteins in serum such as albumins, complement factors, and CRP can interfere with immunoassays by binding other proteins or substances. The observed interference can be, but does not need to be, related to inflammation. It is also possible that both the E2 and CRP immunoassays were affected by a separate or common interfering or cross-reacting substance or by matrix effects, unrelated to CRP or inflammation. We are, to the best of our knowledge, not aware of any previous reports of CRP-related or inflammation-related interference of immunoassays for other analytes. This study has several limitations. The results are based on a single measurement of serum E2; therefore, we were unable to test the reproducibility of these measurement techniques. Furthermore, we were not able to compare the more specific indirect, extraction-based immunoassay methods with the MS method. Still we evaluated the direct immunoassays which are most often used clinically and have been the measurement technique of choice in the vast majority of clinical epidemiological studies. In conclusion, our findings suggest interference in the standard immunoassay-based E2 analyses, possibly by CRP or a CRP-associated factor. Although this interference does not seem to affect association studies between immunoassay E2 levels and skeletal parameters, we propose a reevaluation of previous association studies between immunoassay-based E2 levels and inflammation-related outcomes. In addition, MS-based assays are to be preferred for the quantification of E2 levels in men.
  20 in total

1.  Circulating estradiol is an independent predictor of progression of carotid artery intima-media thickness in middle-aged men.

Authors:  Asa Tivesten; Johannes Hulthe; Karin Wallenfeldt; John Wikstrand; Claes Ohlsson; Björn Fagerberg
Journal:  J Clin Endocrinol Metab       Date:  2006-08-29       Impact factor: 5.958

2.  Comparison of methods to measure low serum estradiol levels in postmenopausal women.

Authors:  Jennifer S Lee; Bruce Ettinger; Frank Z Stanczyk; Eric Vittinghoff; Vladimir Hanes; Jane A Cauley; Walt Chandler; Jim Settlage; Mary S Beattie; Elizabeth Folkerd; Mitch Dowsett; Deborah Grady; Steven R Cummings
Journal:  J Clin Endocrinol Metab       Date:  2006-08-01       Impact factor: 5.958

3.  Differential contribution of testosterone and estradiol in the determination of cholesterol and lipoprotein profile in healthy middle-aged men.

Authors:  I Van Pottelbergh; L Braeckman; D De Bacquer; G De Backer; J M Kaufman
Journal:  Atherosclerosis       Date:  2003-01       Impact factor: 5.162

4.  Endogenous sex hormones and cardiovascular disease incidence in men.

Authors:  Johan Arnlöv; Michael J Pencina; Shreyasee Amin; Byung-Ho Nam; Emelia J Benjamin; Joanne M Murabito; Thomas J Wang; Philip E Knapp; Ralph B D'Agostino; Shalendar Bhasin; Ramachandran S Vasan
Journal:  Ann Intern Med       Date:  2006-08-01       Impact factor: 25.391

5.  Reference ranges and determinants of testosterone, dihydrotestosterone, and estradiol levels measured using liquid chromatography-tandem mass spectrometry in a population-based cohort of older men.

Authors:  Bu B Yeap; Helman Alfonso; S A Paul Chubb; David J Handelsman; Graeme J Hankey; Paul E Norman; Leon Flicker
Journal:  J Clin Endocrinol Metab       Date:  2012-09-13       Impact factor: 5.958

6.  Association of endogenous sex hormone with C-reactive protein levels in middle-aged and elderly men.

Authors:  Hamid Reza Nakhai Pour; Diederick E Grobbee; Majon Muller; Yvonne T van der Schouw
Journal:  Clin Endocrinol (Oxf)       Date:  2007-03       Impact factor: 3.478

7.  Testosterone and estradiol assays: current and future trends.

Authors:  Laurence M Demers
Journal:  Steroids       Date:  2008-05-15       Impact factor: 2.668

8.  Low serum testosterone and high serum estradiol associate with lower extremity peripheral arterial disease in elderly men. The MrOS Study in Sweden.

Authors:  Asa Tivesten; Dan Mellström; Hans Jutberger; Björn Fagerberg; Bodil Lernfelt; Eric Orwoll; Magnus K Karlsson; Osten Ljunggren; Claes Ohlsson
Journal:  J Am Coll Cardiol       Date:  2007-08-24       Impact factor: 24.094

9.  Comparison of sex steroid measurements in men by immunoassay versus mass spectroscopy and relationships with cortical and trabecular volumetric bone mineral density.

Authors:  S Khosla; S Amin; R J Singh; E J Atkinson; L J Melton; B L Riggs
Journal:  Osteoporos Int       Date:  2008-03-13       Impact factor: 4.507

10.  Reproducibility of serum sex steroid assays in men by RIA and mass spectrometry.

Authors:  Ann W Hsing; Frank Z Stanczyk; Alain Bélanger; Paul Schroeder; Lilly Chang; Roni T Falk; Thomas R Fears
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-05       Impact factor: 4.254

View more
  20 in total

1.  Reproductive endocrinology: Estrogens--not just female hormones.

Authors:  Alvin M Matsumoto
Journal:  Nat Rev Endocrinol       Date:  2013-10-22       Impact factor: 43.330

2.  Battle of the sex steroids in the male skeleton: and the winner is....

Authors:  Thomas J Weber
Journal:  J Clin Invest       Date:  2016-02-22       Impact factor: 14.808

3.  Association between endogenous sex steroid hormones and insulin-like growth factor proteins in US men.

Authors:  Stefania I Papatheodorou; Sabine Rohrmann; David S Lopez; Gary Bradwin; Corinne E Joshu; Norma Kanarek; William G Nelson; Nader Rifai; Elizabeth A Platz; Konstantinos K Tsilidis
Journal:  Cancer Causes Control       Date:  2014-01-07       Impact factor: 2.506

Review 4.  Estrogens and Androgens in Skeletal Physiology and Pathophysiology.

Authors:  Maria Almeida; Michaël R Laurent; Vanessa Dubois; Frank Claessens; Charles A O'Brien; Roger Bouillon; Dirk Vanderschueren; Stavros C Manolagas
Journal:  Physiol Rev       Date:  2017-01       Impact factor: 37.312

5.  Measurement of estradiol, estrone, and testosterone in postmenopausal human serum by isotope dilution liquid chromatography tandem mass spectrometry without derivatization.

Authors:  Kerry M Wooding; Joseph A Hankin; Chris A Johnson; Justin D Chosich; Sung W Baek; Andrew P Bradford; Robert C Murphy; Nanette Santoro
Journal:  Steroids       Date:  2015-01-21       Impact factor: 2.668

Review 6.  Bone health in ageing men.

Authors:  Karel David; Nick Narinx; Leen Antonio; Pieter Evenepoel; Frank Claessens; Brigitte Decallonne; Dirk Vanderschueren
Journal:  Rev Endocr Metab Disord       Date:  2022-07-16       Impact factor: 9.306

Review 7.  Relationships between endogenous and exogenous testosterone and cardiovascular disease in men.

Authors:  Arthi Thirumalai; Bradley D Anawalt
Journal:  Rev Endocr Metab Disord       Date:  2022-10-11       Impact factor: 9.306

Review 8.  Sex steroid actions in male bone.

Authors:  Dirk Vanderschueren; Michaël R Laurent; Frank Claessens; Evelien Gielen; Marie K Lagerquist; Liesbeth Vandenput; Anna E Börjesson; Claes Ohlsson
Journal:  Endocr Rev       Date:  2014-09-09       Impact factor: 19.871

9.  Xenoestrogen interference with nongenomic signaling actions of physiological estrogens in endocrine cancer cells.

Authors:  Cheryl S Watson; Luke Koong; Yow-Jiun Jeng; Rene Vinas
Journal:  Steroids       Date:  2018-07-20       Impact factor: 2.668

10.  Association of Genetically Predicted Serum Estradiol With Risk of Thromboembolism in Men: A Mendelian Randomization Study.

Authors:  Maria Nethander; Johan Quester; Liesbeth Vandenput; Claes Ohlsson
Journal:  J Clin Endocrinol Metab       Date:  2021-07-13       Impact factor: 5.958

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.