-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
-
Cosmetic Ingredient
- Water Treatment Chemical
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
On September 30, 2022, the internationally renowned medical journal JAMA Network Open (IF: 13.
366, JCR Q1) published online a research paper by the team of researcher Xie Wuxiang of the Clinical Research Institute of Peking University and the team of Professor Zhang Luxia of the National Institute of Healthcare Big Data of Peking University, which was the first cohort study with more than 10,000 research subjects and a follow-up time of more than 10 years, showing that in the community of elderly people, There is a prospective association
between C-based renal function indicators and long-term debilitation and deterioration of physical function.
PhD student Chenglong Li is the first author, and researcher Wuxiang Xie and Professor Luxia Zhang are the co-corresponding authors
.
Frailty and functional deterioration are considered to reflect the aging of the human body, and the weakening index defined based on the concept of cumulative defects has been used as an important surrogate indicator
of biological aging acceleration.
Previous studies have found that glomerular filtration rate based on cystatin C estimation predicts new-onset weakness, but less consideration is given to dynamic debilitating trajectories
.
In addition, glomerular filtration rates based on cystin-C and creatinine estimates often vary widely, and few studies have explored whether this difference is also directly related
to accelerated frailty and deterioration in older people 。 To this end, this study is based on data from the Health and Retirement Study (HRS) and the China Health and Retirement Longitudinal Survey (CHARLS) to explore whether there is a prospective association
between cystatin C-based renal function indicators and long-term frailty acceleration and physical deterioration 。 This study estimated glomerular filtration rate based on the latest formula of the International Collaborative Study on the Epidemiology of Chronic Kidney Disease (CKD-EPI), and constructed a weakness index including 29 items and body function indicators including grip strength and walking speed, based on multiple follow-up measurements, the slope of the outcome measures over time was assessed, and a linear mixed-effect model was further adopted to analyze the relationship
between the two.
A significant association between higher cystatin C levels and lower glomerular filtration rate (estimated based on cystatin C) and long-term acceleration of frailty and deterioration of body function was found to be validated
in both large cohorts.
In addition, in the CHARLS cohort, the researchers further found that the difference between the glomerular filtration rate estimated based on cystatin C and the glomerular filtration rate estimated based on creatinine was also independently associated with long-term frailty and functional deterioration.
This study suggests that cystatin C, as a measure of renal function, is of great value in predicting accelerated progression of frailty and identifying people at high risk of functional deterioration, independent of serum creatinine
.
Li C, Ma Y, Yang C, Hua R, Xie W, Zhang L.
Association of Cystatin C Kidney Function Measures With Long-term Deficit-Accumulation Frailty Trajectories and Physical Function Decline.
JAMA Network Open.
2022; 5(9):e2234208.
doi:10.
1001/jamanetworkopen.
2022.
34208
Wuxiang Xie, researcher, doctoral supervisor
He has been engaged in clinical research of cardiovascular and cerebrovascular diseases for a long time, mainly including cardiovascular and cerebrovascular diseases, mild cognitive impairment and dementia
.
In the past 5 years, he has published more than 20 academic papers in domestic and foreign journals as a corresponding author
.
He has presided over research funds
such as the National Natural Science Foundation of China, the Newton International Scholars Fund of the British Academy of Medical Sciences, and the Special Project for the Health of the Elderly by Irma and Paul Milstein of the United States.
He currently serves as the secretary general of the Health Risk Assessment and Control Professional Committee of the Chinese Preventive Medicine Association, and the executive editorial board member of Science Bulletin
.
Zhang Luxia, chief physician, professor, doctoral supervisor
He is currently the vice president
of the National Institute of Healthcare Big Data of Peking University.
Received support from the National Science Foundation for Outstanding Young Scholars and the New Century Outstanding Talents of the Ministry of Education; He has served as the vice chairman and secretary general of the Health and Medical Big Data Application Management Committee of the Chinese Hospital Association, the vice chairman and secretary general of the Nephrology Prevention and Control Committee of the Chinese Preventive Medicine Association, and the founding associate editor
of the Science cooperative journal - Health Data Science 。 He has been committed to the governance and application research of health and medical big data for a long time, and has published more than 80 SCI-included papers as the first or corresponding author, with a single citation of more than 800 times, and published papers in the top international journals Lancet (2012), N Engl J Med (2016) and Br Med J (2018) as the first author; In 2020 and 2021, he was consecutively selected as Stanford University's "Top 2% Global Scientists" list and Elsevier's "China Highly Cited Scholars" list; She won the 2021 Wuzhou Women's Science and Technology Award
of the Chinese Association of Women Doctors.
(Peking University Clinical Research Institute/Peking University National Institute of Healthcare Big Data)