Results 161 to 170 of about 39,802 (287)

Chronic, Environmentally Relevant PM2.5 Exposure Exacerbates Metabolic Dysfunction‐Associated Steatotic Liver Disease and Early‐Stage Renal Dysfunction in a Rodent Model

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT While epidemiological studies link fine particulate matter (PM2.5) exposure to metabolic dysfunction‐associated steatotic liver disease (MASLD) and renal dysfunction, a translational gap exists, as most animal models utilize acute, high‐dose exposures that poorly reflect chronic, moderate‐level human scenarios.
Yi‐Siao Chen, Hugo You‐Hsien Lin, Chien‐Tzu Lin, Si‐Hua Huang, Ming‐Lun Yeh, Ming‐Lung Yu, Jin‐Ching Lee, Yao‐Chi Chung, Wei‐Ming Li, Ching‐Chia Li, Shiu‐Feng Huang, Chia‐Hung Yen   +11 more
wiley   +1 more source

The Association Between Stress‐Induced Hyperglycemia Ratio and Increased Urinary Albumin Excretion in Patients With Hypertension: A Population‐Based Study

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT The stress hyperglycemia ratio (SHR), a novel marker reflecting relative hyperglycemia, has been increasingly recognized for its prognostic value in cardiovascular and metabolic diseases. However, its association with early renal damage in hypertensive patients remains underexplored.
Kai‐Jun Zhang, Yun Lan, Wen‐Feng Zeng, Rong‐Ting Zhang, Zhi‐Yi Ma, Xin Zou   +5 more
wiley   +1 more source

Estimated Body Fat Percentage and Triglyceride‐Glucose Index for Identifying MASLD in Lean Asian Adults: A Cross‐Sectional Analysis

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Metabolic dysfunction‐associated steatotic liver disease (MASLD) is increasingly prevalent among lean Asian populations, yet effective strategies for identifying high‐risk individuals remain limited. We investigated the associations of body fat percentage (BF%) and the triglyceride‐glucose (TyG) index with lean MASLD and evaluated their ...
Xiang‐Ran Kong, Ya‐Li Chen, Rui Li, Lu‐Xiang Shang, Sha Sha   +4 more
wiley   +1 more source

Prioritizing Modifiable Risk Factors for Cardiovascular Diseases in Adults With Hypertension: A Prospective Cohort Study

Med Research, EarlyView.
This study examined the relative contributions of modifiable risk factors to cardiovascular diseases in adults with hypertension. More favorable risk factor profiles were consistently associated with lower risks across all outcomes. Beyond blood pressure, nicotine exposure showed comparatively larger population attributable fractions.
Shengtao Wei, Dashan Zheng, Lan Chen, Zitong Zhuang, Zihan Lin, Junguo Zhang, Peng Hu, Zijun Yang, Zhen‐He Huang, Bing Zhang, Hualiang Lin   +10 more
wiley   +1 more source

Improved Glycemic Control Using a Bluetooth®-Connected Blood Glucose Meter and a Mobile Diabetes App: Real-World Evidence From Over 144 000 People With Diabetes. [PDF]

J Diabetes Sci Technol
Grady M, Cameron H, Holt E.
europepmc   +1 more source

Detection of protein biomarker using a blood glucose meter. [PDF]

Methods Mol Biol, 2015
Lan T, Xiang Y, Lu Y.
europepmc   +1 more source

Inflammation Associated With Obesity, Aging, and Amyloid Burden in Adults With Down Syndrome

Obesity, EarlyView.
ABSTRACT Objective Adults with Down syndrome (DS) often show elevated systemic inflammation, but the association with obesity, aging, and Alzheimer's disease (AD) pathology is not well understood. Methods Data were drawn from 188 nondemented adults with DS participating in the Alzheimer Biomarkers Consortium‐DS (ABC‐DS). Participants completed clinical
Victoria L. Fleming‐Batayneh, Brian C. Helsel, Lauren T. Ptomey, Benjamin L. Handen, Mark Mapstone, Melissa Petersen, Sharon J. Krinsky‐McHale, Christy L. Hom, Davneet Minhas, Weiquan Luo, Charles Laymon, Joseph H. Lee, Annie Cohen, Beau M. Ances, Adam M. Brickman, Margaret Pulsifer, H. Diana Rosas, Florencia Lai, Shahid H. Zaman, Elizabeth Head, Dana Tudorascu, Julie Price, Fredrick Schmitt, Bradley T. Christian, Ozioma Okonkwo, Sigan L. Hartley, for the Alzheimer Biomarkers Consortium‐Down Syndrome (ABC‐DS) Investigators, Beau M. Ances, Howard F. Andrews, Karen Bell, Rasmus M. Birn, Adam M. Brickman, Peter Bulova, Jeff Burns, Amrita Cheema, Kewei Chen, Bradley T. Christian, Isabel Clare, Ann D. Cohen, Eric W. Doran, Tatiana M. Foroud, Benjamin L. Handen, Jordan Harp, Sigan L. Hartley, Elizabeth Head, Denise Head, Christy Hom, Lawrence Honig, Milos D. Ikonomovic, Sterling C. Johnson, M. Ilyas Kamboh, David Keator, Julia K. Kofler, William Charles Kreisl, Sharon J. Krinsky‐McHale, Florence Lai, Patrick Lao, Charles Laymon, Joseph Hyungwoo Lee, Ira T. Lott, Victoria Lupson, Mark Mapstone, Davneet Singh Minhas, Neelesh Nadkarni, Sid O'Bryant, Deborah Pang, Melissa Petersen, Julie C. Price, Lauren Ptomey, Margaret Pulsifer, Michael S. Rafii, Herminia Diana Rosas, Frederick Schmitt, Nicole Schupf, Wayne P. Silverman, Dana L. Tudorascu, Rameshwari Tumuluru, Badri Varadarajan, Michael A. Yassa, Shahid Zaman, Fan Zhang   +80 more
wiley   +1 more source

Calibration for real-time non-invasive blood glucose monitoring

, 2013
Blood glucose monitoring is a primary tool for the care of diabetic patients. At present there is no non-invasive monitoring technique of blood glucose concentration that is widely accepted in the medical industry.
Sidley, Matthew
core  

How Should Blood Glucose Meter System Analytical Performance Be Assessed? [PDF]

J Diabetes Sci Technol, 2015
Simmons DA.
europepmc   +1 more source

Prevalence of non‐alcoholic fatty liver disease and its association with different combinations of weight status and metabolic abnormalities in children aged 6–18 years

Pediatric Investigation, EarlyView.
Children with non‐overweight combined with metabolic risk factors might increase the risk of non‐alcoholic fatty liver disease (NAFLD). These findings suggest that overweight and obesity should not be the sole criterion for NAFLD screening in children. In particular, more attention should be given to non‐overweight combined with metabolic abnormalities
Peiyu Ye, Luting Peng, Liwang Gao, Xiaonan Li, Qin Liu, Pei Xiao, Liang Wang, Xiaoyan Shi, Jun Ma, Yanhui Dong, Dongling Dai, Qinghua Yang, Xinchun Chen, Xin Fan, Naijun Wan, Jin Zhang, Bin Li, Lin Zhou, Guangsheng Wu, Lin Yang, Yan He, Yinkun Yan, Jie Mi   +22 more
wiley   +1 more source