Results 131 to 140 of about 63,641 (278)

An Update to the Clinical Pharmacogenetics Implementation Consortium (CPIC) SLCO1B1 Allele Functionality Table Leveraging Evidence from Participants of Predominantly Sub‐Saharan African Ancestry

Clinical Pharmacology &Therapeutics, Volume 119, Issue 5, Page 1133-1135, May 2026.
The Clinical Pharmacogenetics Implementation Consortium (CPIC) has formally updated the SLCO1B1 allele functionality table based on new evidence. Notably, the alleles studied (SLCO1B1 *9, *31, *41) are enriched in the genomes of patients historically excluded from pharmacogenomics research.
Akinyemi Oni‐Orisan, Sook Wah Yee, Tanushree Haldar, Michelle Whirl‐Carrillo, Kelly Caudle, Deepak Voora, Richard B. Kim   +6 more
wiley   +1 more source

Identification of Urinary Activin A as a Novel Biomarker Reflecting the Severity of Acute Kidney Injury [PDF]

, 2018
学位記番号 ...
Takahashi, Shunsuke, タカハシ, シュンスケ, 高橋, 駿介   +2 more
core  

Effectiveness of Riboflavin in Inherited Metabolic Diseases: A Systematic Review

Journal of Inherited Metabolic Disease, Volume 49, Issue 3, May 2026.
ABSTRACT Riboflavin (RF, vitamin B2) is an essential vitamin of which the co‐factors are critical to numerous cellular processes. RF is used as a treatment for inherited metabolic diseases (IMDs), although its effectiveness in many disorders has not been established.
Bregje Jaeger, Nina N. Stolwijk, Femke Aaldering, Charlotte A. Ruys, Marije Smits, Nicole I. Wolf, Carla E. M. Hollak, Annet M. Bosch   +7 more
wiley   +1 more source

CAV3 mutations causing exercise intolerance, myalgia and rhabdomyolysis: expanding the phenotypic spectrum of caveolinopathies [PDF]

, 2016
Rhabdomyolysis is often due to a combination of environmental trigger(s) and genetic predisposition; however, the underlying genetic cause remains elusive in many cases.
Barresi, R, Bushby, K, Childs, A-M, Davis, MR, Desikan, M, Feng, L, Fialho, D, Gardiner, AR, Hanna, MG, Hilton-Jones, D, Holton, JL, Houlden, H, Jungbluth, H, Laing, NG, Lamont, PJ, Manzur, AY, Marsh, J, Murphy, E, Parton, M, Phadke, R, Pitceathly, RDS, Quinlivan, R, Ravenscroft, G, Scalco, RS, Schapira, AH, Turner, C, Wallefeld, W   +26 more
core   +1 more source

Rhabdomyolysis in 114 patients with acute poisonings

Journal of Research in Medical Sciences, 2015
Background: Rhabdomyolysis is a clinical and biochemical syndrome, which is observed in some patients with acute chemical and/or pharmaceutical poisonings.
Seyed Reza Mousavi, Maryam Vahabzadeh, Adeleh Mahdizadeh, Mansooreh Vafaee, Mahmood Sadeghi, Reza Afshari, Mahdi Balali-Mood   +6 more
doaj  

Increased risk of rhabdomyolysis in patients using statins: a population-based case-control study

Therapeutic Advances in Drug Safety
Background: Statins have been demonstrated to decrease cardiovascular events in high-risk patients. Statin-induced myotoxicity is a major contributor to statin intolerance and often the leading cause of statin discontinuation.
Ya-Wen Lu, Jong-Yi Wang, Heng-Jun Lin, Wei-Sheng Chung   +3 more
doaj   +1 more source

Rhabdomyolysis-Induced Acute Kidney Injury in Diabetic Emergency: Underdiagnosed and an Important Association to Be Aware of

Case Reports in Medicine, 2018
Rhabdomyolysis is a potentially life-threatening clinical syndrome associated with muscle injury which can cause a leakage of intracellular contents, manifested from the range of being asymptomatic to a life-threatening condition causing acute kidney ...
Ami Amin, Bhavika Gandhi, Steven Torre, Alireza Amirpour, Jennifer Cheng, Mayurkumar Patel, Mohammad A. Hossain   +6 more
doaj   +1 more source

Muscle Ultrasound Echo Intensity Detects Insulin Resistance Before Changes in HbA1c or Fasting Glucose, Independent of BMI

Journal of Ultrasound in Medicine, Volume 45, Issue 5, Page 937-946, May 2026.
Objectives To quantify the association between skeletal muscle echo intensity (MEI), measured by ultrasound, and clinical markers of insulin resistance and glycemic control, and evaluate MEI's diagnostic accuracy in identifying insulin resistance. Methods In this cross‐sectional study, 20 adults with obesity (mean body mass index [BMI] 34.4 ± 2.6 kg/m2,
Steven B. Soliman, Jacob E. Leuteneker, Olivia K. Chugh, Tao Zhang, Becca Tuska, Thomas Rode, Maria J. Sanchez, Eric D. Buras, Jeffrey F. Horowitz   +8 more
wiley   +1 more source

Learning signals of adverse drug-drug interactions from the unstructured text of electronic health records. [PDF]

, 2013
Drug-drug interactions (DDI) account for 30% of all adverse drug reactions, which are the fourth leading cause of death in the US. Current methods for post marketing surveillance primarily use spontaneous reporting systems for learning DDI signals and ...
Bauer-Mehren, Anna, Harpaz, Rave, Iyer, Srinivasan V, Lependu, Paea, Shah, Nigam H   +4 more
core   +5 more sources

Comparative Analysis of Potential Side Effects of Targeted Oral Hypoglycemic Agents Using Spontaneous Adverse Event Reports and Social Media Data

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 5, May 2026.
ABSTRACT Aim Adverse events (AEs) detected in tweets and in the FDA Adverse Event Reporting System (FAERS) provide valuable insights into patient experiences with oral hypoglycemic agents including sodium‐glucose transporter 2 (SGLT2) and dipeptidyl peptidase‐4 (DPP4) inhibitors. This study compared the side effects identified from tweets with those in
Se‐Hoon Oh, Dong‐Young Park, Yun‐Kyoung Song   +2 more
wiley   +1 more source