Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 41 entries
Sorted by: Best Match Show Resources per page
Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey.

Clinical chemistry and laboratory medicine

van Balveren JA, Verboeket-van de Venne WPHG, Doggen CJM, Cornelissen AS, Erdem-Eraslan L, de Graaf AJ, Krabbe JG, Musson REA, Oosterhuis WP, de Rijke YB, van der Sijs H, Tintu AN, Verheul RJ, Hoedemakers RMJ, Kusters R.
PMID: 33645171
Clin Chem Lab Med. 2021 Feb 25;59(7):1239-1245. doi: 10.1515/cclm-2020-1770. Print 2021 Jun 25.

OBJECTIVES: Knowledge of possible drug-laboratory test interactions (DLTIs) is important for the interpretation of laboratory test results. Failure to recognize these interactions may lead to misinterpretation, a delayed or erroneous diagnosis, or unnecessary extra diagnostic tests or therapy, which...

Cite
van Balveren JA, Verboeket-van de Venne WPHG, Doggen CJM, et al. Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey. Clin Chem Lab Med. 2021;59(7):1239-1245doi: 10.1515/cclm-2020-1770.
van Balveren, J. A., Verboeket-van de Venne, W. P. H. G., Doggen, C. J. M., Cornelissen, A. S., Erdem-Eraslan, L., de Graaf, A. J., Krabbe, J. G., Musson, R. E. A., Oosterhuis, W. P., de Rijke, Y. B., van der Sijs, H., Tintu, A. N., Verheul, R. J., Hoedemakers, R. M. J., Kusters, R. (2021). Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey. Clinical chemistry and laboratory medicine, 59(7), 1239-1245. https://doi.org/10.1515/cclm-2020-1770
van Balveren, Jasmijn A, et al. "Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey." Clinical chemistry and laboratory medicine vol. 59,7 (2021): 1239-1245. doi: https://doi.org/10.1515/cclm-2020-1770
van Balveren JA, Verboeket-van de Venne WPHG, Doggen CJM, Cornelissen AS, Erdem-Eraslan L, de Graaf AJ, Krabbe JG, Musson REA, Oosterhuis WP, de Rijke YB, van der Sijs H, Tintu AN, Verheul RJ, Hoedemakers RMJ, Kusters R. Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey. Clin Chem Lab Med. 2021 Feb 25;59(7):1239-1245. doi: 10.1515/cclm-2020-1770. Print 2021 Jun 25. PMID: 33645171.
Copy Download .nbib Format: NLM
Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring.

Analytical chemistry

Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M.
PMID: 34859676
Anal Chem. 2021 Dec 14;93(49):16369-16378. doi: 10.1021/acs.analchem.1c02826. Epub 2021 Dec 03.

Modern biomarker and translational research as well as personalized health care studies rely heavily on powerful omics' technologies, including metabolomics and lipidomics. However, to translate metabolomics and lipidomics discoveries into a high-throughput clinical setting, standardization is of utmost importance....

Cite
Ghorasaini M, Mohammed Y, Adamski J, et al. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021;93(49):16369-16378doi: 10.1021/acs.analchem.1c02826.
Ghorasaini, M., Mohammed, Y., Adamski, J., Bettcher, L., Bowden, J. A., Cabruja, M., Contrepois, K., Ellenberger, M., Gajera, B., Haid, M., Hornburg, D., Hunter, C., Jones, C. M., Klein, T., Mayboroda, O., Mirzaian, M., Moaddel, R., Ferrucci, L., Lovett, J., Nazir, K., Pearson, M., Ubhi, B. K., Raftery, D., Riols, F., Sayers, R., Sijbrands, E. J. G., Snyder, M. P., Su, B., Velagapudi, V., Williams, K. J., de Rijke, Y. B., & Giera, M. (2021). Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Analytical chemistry, 93(49), 16369-16378. https://doi.org/10.1021/acs.analchem.1c02826
Ghorasaini, Mohan, et al. "Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring." Analytical chemistry vol. 93,49 (2021): 16369-16378. doi: https://doi.org/10.1021/acs.analchem.1c02826
Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021 Dec 14;93(49):16369-16378. doi: 10.1021/acs.analchem.1c02826. Epub 2021 Dec 03. PMID: 34859676; PMCID: PMC8674878.
Copy Download .nbib Format: NLM
Parental Stress and Scalp Hair Cortisol in Excessively Crying Infants: A Case Control Study.

Children (Basel, Switzerland)

de Kruijff I, Tromp E, Lambregtse-van den Berg MP, Vlieger AM, Benninga MA, de Rijke YB, van den Akker EL.
PMID: 34438553
Children (Basel). 2021 Jul 30;8(8). doi: 10.3390/children8080662.

BACKGROUND: Caring for an excessively crying infant (ECI) can be stressful for mothers and fathers and is associated with mental and bonding problems. Hair cortisol offers a unique measure for the biological reaction of the body to stress over...

Cite
de Kruijff I, Tromp E, Lambregtse-van den Berg MP, et al. Parental Stress and Scalp Hair Cortisol in Excessively Crying Infants: A Case Control Study. Children (Basel). 2021;8(8)doi: 10.3390/children8080662.
de Kruijff, I., Tromp, E., Lambregtse-van den Berg, M. P., Vlieger, A. M., Benninga, M. A., de Rijke, Y. B., & van den Akker, E. L. (2021). Parental Stress and Scalp Hair Cortisol in Excessively Crying Infants: A Case Control Study. Children (Basel, Switzerland), 8(8), . https://doi.org/10.3390/children8080662
de Kruijff, Ineke, et al. "Parental Stress and Scalp Hair Cortisol in Excessively Crying Infants: A Case Control Study." Children (Basel, Switzerland) vol. 8,8 (2021). doi: https://doi.org/10.3390/children8080662
de Kruijff I, Tromp E, Lambregtse-van den Berg MP, Vlieger AM, Benninga MA, de Rijke YB, van den Akker EL. Parental Stress and Scalp Hair Cortisol in Excessively Crying Infants: A Case Control Study. Children (Basel). 2021 Jul 30;8(8). doi: 10.3390/children8080662. PMID: 34438553; PMCID: PMC8391563.
Copy Download .nbib Format: NLM
Lower Plasma Melatonin Levels Predict Worse Long-Term Survival in Pulmonary Arterial Hypertension.

Journal of clinical medicine

Cai Z, Klein T, Geenen LW, Tu L, Tian S, van den Bosch AE, de Rijke YB, Reiss IKM, Boersma E, Duncker DJ, Boomars KA, Guignabert C, Merkus D.
PMID: 32344923
J Clin Med. 2020 Apr 25;9(5). doi: 10.3390/jcm9051248.

No abstract available.

Cite
Cai Z, Klein T, Geenen LW, et al. Lower Plasma Melatonin Levels Predict Worse Long-Term Survival in Pulmonary Arterial Hypertension. J Clin Med. 2020;9(5)doi: 10.3390/jcm9051248.
Cai, Z., Klein, T., Geenen, L. W., Tu, L., Tian, S., van den Bosch, A. E., de Rijke, Y. B., Reiss, I. K. M., Boersma, E., Duncker, D. J., Boomars, K. A., Guignabert, C., & Merkus, D. (2020). Lower Plasma Melatonin Levels Predict Worse Long-Term Survival in Pulmonary Arterial Hypertension. Journal of clinical medicine, 9(5), . https://doi.org/10.3390/jcm9051248
Cai, Zongye, et al. "Lower Plasma Melatonin Levels Predict Worse Long-Term Survival in Pulmonary Arterial Hypertension." Journal of clinical medicine vol. 9,5 (2020). doi: https://doi.org/10.3390/jcm9051248
Cai Z, Klein T, Geenen LW, Tu L, Tian S, van den Bosch AE, de Rijke YB, Reiss IKM, Boersma E, Duncker DJ, Boomars KA, Guignabert C, Merkus D. Lower Plasma Melatonin Levels Predict Worse Long-Term Survival in Pulmonary Arterial Hypertension. J Clin Med. 2020 Apr 25;9(5). doi: 10.3390/jcm9051248. PMID: 32344923; PMCID: PMC7287676.
Copy Download .nbib Format: NLM
Periconceptional maternal and paternal homocysteine levels and early utero-placental (vascular) growth trajectories: The Rotterdam periconception cohort.

Placenta

Hoek J, Schoenmakers S, Ringelberg B, Reijnders IF, Willemsen SP, De Rijke YB, Mulders AGMGJ, Steegers-Theunissen RPM.
PMID: 34560327
Placenta. 2021 Nov;115:45-52. doi: 10.1016/j.placenta.2021.09.012. Epub 2021 Sep 20.

INTRODUCTION: Maternal elevated plasma total homocysteine (tHcy) is involved in the origin of several placenta-related pregnancy complications. The first trimester is the most sensitive period for placentation influenced by maternal and paternal health. The aim is to study associations...

Cite
Hoek J, Schoenmakers S, Ringelberg B, et al. Periconceptional maternal and paternal homocysteine levels and early utero-placental (vascular) growth trajectories: The Rotterdam periconception cohort. Placenta. 2021;115:45-52doi: 10.1016/j.placenta.2021.09.012.
Hoek, J., Schoenmakers, S., Ringelberg, B., Reijnders, I. F., Willemsen, S. P., De Rijke, Y. B., Mulders, A. G. M. G. J., & Steegers-Theunissen, R. P. M. (2021). Periconceptional maternal and paternal homocysteine levels and early utero-placental (vascular) growth trajectories: The Rotterdam periconception cohort. Placenta, 11545-52. https://doi.org/10.1016/j.placenta.2021.09.012
Hoek, Jeffrey, et al. "Periconceptional maternal and paternal homocysteine levels and early utero-placental (vascular) growth trajectories: The Rotterdam periconception cohort." Placenta vol. 115 (2021): 45-52. doi: https://doi.org/10.1016/j.placenta.2021.09.012
Hoek J, Schoenmakers S, Ringelberg B, Reijnders IF, Willemsen SP, De Rijke YB, Mulders AGMGJ, Steegers-Theunissen RPM. Periconceptional maternal and paternal homocysteine levels and early utero-placental (vascular) growth trajectories: The Rotterdam periconception cohort. Placenta. 2021 Nov;115:45-52. doi: 10.1016/j.placenta.2021.09.012. Epub 2021 Sep 20. PMID: 34560327.
Copy Download .nbib Format: NLM
Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring.

Analytical chemistry

Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M.
PMID: 34859676
Anal Chem. 2021 Dec 03; doi: 10.1021/acs.analchem.1c02826. Epub 2021 Dec 03.

Modern biomarker and translational research as well as personalized health care studies rely heavily on powerful omics' technologies, including metabolomics and lipidomics. However, to translate metabolomics and lipidomics discoveries into a high-throughput clinical setting, standardization is of utmost importance....

Cite
Ghorasaini M, Mohammed Y, Adamski J, et al. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021;doi: 10.1021/acs.analchem.1c02826.
Ghorasaini, M., Mohammed, Y., Adamski, J., Bettcher, L., Bowden, J. A., Cabruja, M., Contrepois, K., Ellenberger, M., Gajera, B., Haid, M., Hornburg, D., Hunter, C., Jones, C. M., Klein, T., Mayboroda, O., Mirzaian, M., Moaddel, R., Ferrucci, L., Lovett, J., Nazir, K., Pearson, M., Ubhi, B. K., Raftery, D., Riols, F., Sayers, R., Sijbrands, E. J. G., Snyder, M. P., Su, B., Velagapudi, V., Williams, K. J., de Rijke, Y. B., & Giera, M. (2021). Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Analytical chemistry, . https://doi.org/10.1021/acs.analchem.1c02826
Ghorasaini, Mohan, et al. "Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring." Analytical chemistry vol. (2021). doi: https://doi.org/10.1021/acs.analchem.1c02826
Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021 Dec 03; doi: 10.1021/acs.analchem.1c02826. Epub 2021 Dec 03. PMID: 34859676.
Copy Download .nbib Format: NLM
Real-time monitoring of drug laboratory test interactions: a proof of concept.

Clinical chemistry and laboratory medicine

van Balveren JA, Verboeket-van de Venne WPHG, Doggen CJM, Erdem-Eraslan L, de Graaf AJ, Krabbe JG, Musson REA, Oosterhuis WP, de Rijke YB, van der Sijs H, Tintu AN, Verheul RJ, Hoedemakers RMJ, Kusters R.
PMID: 34751523
Clin Chem Lab Med. 2021 Nov 09;60(2):235-242. doi: 10.1515/cclm-2021-0790. Print 2022 Jan 27.

OBJECTIVES: For the correct interpretation of test results, it is important to be aware of drug-laboratory test interactions (DLTIs). If DLTIs are not taken into account by clinicians, erroneous interpretation of test results may lead to a delayed or...

Cite
van Balveren JA, Verboeket-van de Venne WPHG, Doggen CJM, et al. Real-time monitoring of drug laboratory test interactions: a proof of concept. Clin Chem Lab Med. 2021;60(2):235-242doi: 10.1515/cclm-2021-0790.
van Balveren, J. A., Verboeket-van de Venne, W. P. H. G., Doggen, C. J. M., Erdem-Eraslan, L., de Graaf, A. J., Krabbe, J. G., Musson, R. E. A., Oosterhuis, W. P., de Rijke, Y. B., van der Sijs, H., Tintu, A. N., Verheul, R. J., Hoedemakers, R. M. J., & Kusters, R. (2022). Real-time monitoring of drug laboratory test interactions: a proof of concept. Clinical chemistry and laboratory medicine, 60(2), 235-242. https://doi.org/10.1515/cclm-2021-0790
van Balveren, Jasmijn A, et al. "Real-time monitoring of drug laboratory test interactions: a proof of concept." Clinical chemistry and laboratory medicine vol. 60,2 (2022): 235-242. doi: https://doi.org/10.1515/cclm-2021-0790
van Balveren JA, Verboeket-van de Venne WPHG, Doggen CJM, Erdem-Eraslan L, de Graaf AJ, Krabbe JG, Musson REA, Oosterhuis WP, de Rijke YB, van der Sijs H, Tintu AN, Verheul RJ, Hoedemakers RMJ, Kusters R. Real-time monitoring of drug laboratory test interactions: a proof of concept. Clin Chem Lab Med. 2021 Nov 09;60(2):235-242. doi: 10.1515/cclm-2021-0790. Print 2022 Jan 27. PMID: 34751523.
Copy Download .nbib Format: NLM
Lipid signature of advanced human carotid atherosclerosis assessed by mass spectrometry imaging.

Journal of lipid research

Moerman AM, Visscher M, Slijkhuis N, Van Gaalen K, Heijs B, Klein T, Burgers PC, De Rijke YB, Van Beusekom HMM, Luider TM, Verhagen HJM, Van der Steen AFW, Gijsen FJH, Van der Heiden K, Van Soest G.
PMID: 33581415
J Lipid Res. 2021;62:100020. doi: 10.1194/jlr.RA120000974. Epub 2021 Jan 06.

Carotid atherosclerosis is a risk factor for ischemic stroke, one of the main causes of mortality and disability worldwide. The disease is characterized by plaques, heterogeneous deposits of lipids, and necrotic debris in the vascular wall, which grow gradually...

Cite
Moerman AM, Visscher M, Slijkhuis N, et al. Lipid signature of advanced human carotid atherosclerosis assessed by mass spectrometry imaging. J Lipid Res. 2021;62:100020doi: 10.1194/jlr.RA120000974.
Moerman, A. M., Visscher, M., Slijkhuis, N., Van Gaalen, K., Heijs, B., Klein, T., Burgers, P. C., De Rijke, Y. B., Van Beusekom, H. M. M., Luider, T. M., Verhagen, H. J. M., Van der Steen, A. F. W., Gijsen, F. J. H., Van der Heiden, K., & Van Soest, G. (2021). Lipid signature of advanced human carotid atherosclerosis assessed by mass spectrometry imaging. Journal of lipid research, 62100020. https://doi.org/10.1194/jlr.RA120000974
Moerman, Astrid M, et al. "Lipid signature of advanced human carotid atherosclerosis assessed by mass spectrometry imaging." Journal of lipid research vol. 62 (2021): 100020. doi: https://doi.org/10.1194/jlr.RA120000974
Moerman AM, Visscher M, Slijkhuis N, Van Gaalen K, Heijs B, Klein T, Burgers PC, De Rijke YB, Van Beusekom HMM, Luider TM, Verhagen HJM, Van der Steen AFW, Gijsen FJH, Van der Heiden K, Van Soest G. Lipid signature of advanced human carotid atherosclerosis assessed by mass spectrometry imaging. J Lipid Res. 2021;62:100020. doi: 10.1194/jlr.RA120000974. Epub 2021 Jan 06. PMID: 33581415; PMCID: PMC7881220.
Copy Download .nbib Format: NLM
Using Classification Tree Analysis to Predict the Type of Infection in Preterm Neonates: Proof of Concept Study.

Critical care explorations

Kurul Ş, Simons SHP, Ramakers CRB, De Rijke YB, Kornelisse RF, Kroon AA, Reiss IKM, Taal HR.
PMID: 34984338
Crit Care Explor. 2021 Dec 02;3(12):e0585. doi: 10.1097/CCE.0000000000000585. eCollection 2021 Dec.

BACKGROUND: Late-onset neonatal sepsis is a major complication in preterm neonates. Early identification of the type of infection could help to improve therapy and outcome depending on the suspected microorganism by tailoring antibiotic treatment to the individual patient based...

Cite
Kurul Ş, Simons SHP, Ramakers CRB, et al. Using Classification Tree Analysis to Predict the Type of Infection in Preterm Neonates: Proof of Concept Study. Crit Care Explor. 2021;3(12):e0585doi: 10.1097/CCE.0000000000000585.
Kurul, �. �., Simons, S. H. P., Ramakers, C. R. B., De Rijke, Y. B., Kornelisse, R. F., Kroon, A. A., Reiss, I. K. M., & Taal, H. R. (2021). Using Classification Tree Analysis to Predict the Type of Infection in Preterm Neonates: Proof of Concept Study. Critical care explorations, 3(12), e0585. https://doi.org/10.1097/CCE.0000000000000585
Kurul, Şerife, et al. "Using Classification Tree Analysis to Predict the Type of Infection in Preterm Neonates: Proof of Concept Study." Critical care explorations vol. 3,12 (2021): e0585. doi: https://doi.org/10.1097/CCE.0000000000000585
Kurul Ş, Simons SHP, Ramakers CRB, De Rijke YB, Kornelisse RF, Kroon AA, Reiss IKM, Taal HR. Using Classification Tree Analysis to Predict the Type of Infection in Preterm Neonates: Proof of Concept Study. Crit Care Explor. 2021 Dec 02;3(12):e0585. doi: 10.1097/CCE.0000000000000585. eCollection 2021 Dec. PMID: 34984338; PMCID: PMC8718223.
Copy Download .nbib Format: NLM
Vitamin B12, folate and homocysteine concentrations during pregnancy and early signs of atherosclerosis at school-age.

Clinical nutrition (Edinburgh, Scotland)

Monasso GS, Felix JF, Heil SG, de Rijke YB, Gaillard R, Jaddoe VWV.
PMID: 34461587
Clin Nutr. 2021 Sep;40(9):5133-5140. doi: 10.1016/j.clnu.2021.08.001. Epub 2021 Aug 09.

BACKGROUND & AIMS: Suboptimal circulating vitamin B12, folate and homocysteine concentrations during fetal life seem to be associated with cardiometabolic health at school-age. We examined whether fetal exposure to lower circulating vitamin B12 and folate concentrations and higher circulating...

Cite
Monasso GS, Felix JF, Heil SG, et al. Vitamin B12, folate and homocysteine concentrations during pregnancy and early signs of atherosclerosis at school-age. Clin Nutr. 2021;40(9):5133-5140doi: 10.1016/j.clnu.2021.08.001.
Monasso, G. S., Felix, J. F., Heil, S. G., de Rijke, Y. B., Gaillard, R., & Jaddoe, V. W. V. (2021). Vitamin B12, folate and homocysteine concentrations during pregnancy and early signs of atherosclerosis at school-age. Clinical nutrition (Edinburgh, Scotland), 40(9), 5133-5140. https://doi.org/10.1016/j.clnu.2021.08.001
Monasso, Giulietta S, et al. "Vitamin B12, folate and homocysteine concentrations during pregnancy and early signs of atherosclerosis at school-age." Clinical nutrition (Edinburgh, Scotland) vol. 40,9 (2021): 5133-5140. doi: https://doi.org/10.1016/j.clnu.2021.08.001
Monasso GS, Felix JF, Heil SG, de Rijke YB, Gaillard R, Jaddoe VWV. Vitamin B12, folate and homocysteine concentrations during pregnancy and early signs of atherosclerosis at school-age. Clin Nutr. 2021 Sep;40(9):5133-5140. doi: 10.1016/j.clnu.2021.08.001. Epub 2021 Aug 09. PMID: 34461587.
Copy Download .nbib Format: NLM
Impact of body mass index on growth hormone stimulation tests in children and adolescents: a systematic review and meta-analysis.

Critical reviews in clinical laboratory sciences

Abawi O, Augustijn D, Hoeks SE, de Rijke YB, van den Akker ELT.
PMID: 34431447
Crit Rev Clin Lab Sci. 2021 Dec;58(8):576-595. doi: 10.1080/10408363.2021.1956423. Epub 2021 Aug 25.

Peak stimulated growth hormone (GH) levels are known to decrease with increasing body mass index (BMI), possibly leading to overdiagnosis of GH deficiency (GHD) in children with overweight and obesity. However, current guidelines do not guide how to interpret...

Cite
Abawi O, Augustijn D, Hoeks SE, et al. Impact of body mass index on growth hormone stimulation tests in children and adolescents: a systematic review and meta-analysis. Crit Rev Clin Lab Sci. 2021;58(8):576-595doi: 10.1080/10408363.2021.1956423.
Abawi, O., Augustijn, D., Hoeks, S. E., de Rijke, Y. B., & van den Akker, E. L. T. (2021). Impact of body mass index on growth hormone stimulation tests in children and adolescents: a systematic review and meta-analysis. Critical reviews in clinical laboratory sciences, 58(8), 576-595. https://doi.org/10.1080/10408363.2021.1956423
Abawi, Ozair, et al. "Impact of body mass index on growth hormone stimulation tests in children and adolescents: a systematic review and meta-analysis." Critical reviews in clinical laboratory sciences vol. 58,8 (2021): 576-595. doi: https://doi.org/10.1080/10408363.2021.1956423
Abawi O, Augustijn D, Hoeks SE, de Rijke YB, van den Akker ELT. Impact of body mass index on growth hormone stimulation tests in children and adolescents: a systematic review and meta-analysis. Crit Rev Clin Lab Sci. 2021 Dec;58(8):576-595. doi: 10.1080/10408363.2021.1956423. Epub 2021 Aug 25. PMID: 34431447.
Copy Download .nbib Format: NLM
Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring.

Analytical chemistry

Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M.
PMID: 34859676
Anal Chem. 2021 Dec 14;93(49):16369-16378. doi: 10.1021/acs.analchem.1c02826. Epub 2021 Dec 03.

Modern biomarker and translational research as well as personalized health care studies rely heavily on powerful omics' technologies, including metabolomics and lipidomics. However, to translate metabolomics and lipidomics discoveries into a high-throughput clinical setting, standardization is of utmost importance....

Cite
Ghorasaini M, Mohammed Y, Adamski J, et al. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021;93(49):16369-16378doi: 10.1021/acs.analchem.1c02826.
Ghorasaini, M., Mohammed, Y., Adamski, J., Bettcher, L., Bowden, J. A., Cabruja, M., Contrepois, K., Ellenberger, M., Gajera, B., Haid, M., Hornburg, D., Hunter, C., Jones, C. M., Klein, T., Mayboroda, O., Mirzaian, M., Moaddel, R., Ferrucci, L., Lovett, J., Nazir, K., Pearson, M., Ubhi, B. K., Raftery, D., Riols, F., Sayers, R., Sijbrands, E. J. G., Snyder, M. P., Su, B., Velagapudi, V., Williams, K. J., de Rijke, Y. B., & Giera, M. (2021). Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Analytical chemistry, 93(49), 16369-16378. https://doi.org/10.1021/acs.analchem.1c02826
Ghorasaini, Mohan, et al. "Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring." Analytical chemistry vol. 93,49 (2021): 16369-16378. doi: https://doi.org/10.1021/acs.analchem.1c02826
Ghorasaini M, Mohammed Y, Adamski J, Bettcher L, Bowden JA, Cabruja M, Contrepois K, Ellenberger M, Gajera B, Haid M, Hornburg D, Hunter C, Jones CM, Klein T, Mayboroda O, Mirzaian M, Moaddel R, Ferrucci L, Lovett J, Nazir K, Pearson M, Ubhi BK, Raftery D, Riols F, Sayers R, Sijbrands EJG, Snyder MP, Su B, Velagapudi V, Williams KJ, de Rijke YB, Giera M. Cross-Laboratory Standardization of Preclinical Lipidomics Using Differential Mobility Spectrometry and Multiple Reaction Monitoring. Anal Chem. 2021 Dec 14;93(49):16369-16378. doi: 10.1021/acs.analchem.1c02826. Epub 2021 Dec 03. PMID: 34859676; PMCID: PMC8674878.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 41 entries