scholarly journals Characterization of LC-MS Based Urine Metabolomics in Healthy Children and Adults

2021 ◽  
Author(s):  
Xiaoyan Liu ◽  
Xiaoyi Tian ◽  
Qinghong Shi ◽  
Haidan Sun ◽  
Jing Li ◽  
...  
Keyword(s):  
Biomarker Discovery ◽  
Estrogen Metabolism ◽  
Healthy Children ◽  
Age Group ◽  
Urine Metabolites ◽  
Disease Biomarker ◽  
Gender And Age ◽  
Comprehensive Characterization ◽  
Urine Metabolomics

Abstract Previous studies reported that gender, age, diets or lifestyles could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. In this study, we provided a comprehensive characterization of urine metabolomics in a cohort of 348 healthy children (Aged 1~18) and 315 adults (Aged 20-78) for evaluation gender and age effects. Our results suggested that urine metabolites showed larger gender differences in children than in adults. For both male/boy and female/girl, each age group showed specific metabolic characterization. Especially, the pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the old stage. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.

scholarly journals Characterization of LC-MS based urine metabolomics in healthy subjects across the life span

2020 ◽  
Author(s):  
Xiaoyan Liu ◽  
Xiaoyi Tian ◽  
Qinghong Shi ◽  
Haidan Sun ◽  
Jing Li ◽  
...  
Keyword(s):  
Biomarker Discovery ◽  
High Resolution Mass Spectrometry ◽  
Estrogen Metabolism ◽  
Healthy Children ◽  
Urine Metabolites ◽  
Clinical Cohort ◽  
Disease Biomarker ◽  
Gender And Age ◽  
Urine Metabolomics

AbstractPrevious studies reported that gender and age could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. In this study, we provided a comprehensive lifespan characterization of urine metabolomics in a cohort of 348 healthy children and 315 adults aged 1 to 70 years using liquid chromatography coupled with high resolution mass spectrometry. Our results suggested that gender-dependent urine metabolites are much greater in adults than in children. The pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the old stage. Based on the above analysis, metabolomic characteristics of each age stage were provided. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.

scholarly journals Characterization of LC-MS Based Urine Metabolomics in Healthy Subjects Across the Life Span

2020 ◽  
Author(s):  
Xiaoyan Liu ◽  
Xiaoyi Tian ◽  
Qinghong Shi ◽  
Haidan Sun ◽  
Jing Li ◽  
...  
Keyword(s):  
Biomarker Discovery ◽  
High Resolution Mass Spectrometry ◽  
Estrogen Metabolism ◽  
Healthy Children ◽  
Urine Metabolites ◽  
Clinical Cohort ◽  
Disease Biomarker ◽  
Gender And Age ◽  
Urine Metabolomics

Abstract Background: Previous studies reported that gender and age could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. Results: In this study, we provided a comprehensive lifespan characterization of urine metabolomics in a cohort of 348 healthy children and 315 adults aged 1 to 70 years using liquid chromatography coupled with high resolution mass spectrometry. Our results suggested that gender-dependent urine metabolites are much greater in adults than in children. The pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the old stage. Conclusion: Based on the above analysis, metabolomic characteristics of each age stage were provided. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.

Diabetes related disease and disorder in a Chinese Q&A website: Comparison on frequency and position (Preprint)

2020 ◽  
Author(s):  
Wei Feng ◽  
Ruocheng Huang ◽  
Shan Lu ◽  
Tao Shan ◽  
Hong Wang ◽  
...  
Keyword(s):  
Kidney Failure ◽  
Medical Information ◽  
Healthcare Management ◽  
Medical Community ◽  
Circulation System ◽  
Age Group ◽  
Disease Category ◽  
Old Patients ◽  
Gender And Age ◽  
Question And Answer

BACKGROUND With the development of the Internet, online medical community can help patient access to medical information and relevant decisions more conveniently, and meet the needs of patients for their own healthcare management. Mining these Q&A (Question and Answer) data, we can help doctors give more targeted feedback which improve the efficiency of question-and-answer, and patient satisfaction. OBJECTIVE This study aimed to (1) analysis frequency and position of diabetes related diseases or symptoms in Q&A website and (2) find out the differences of disease terms in gender and age using in the questions. METHODS We collected 5766 Q&A diabetes related data on the website of Chunyuyisheng from June 2012 to April 2020. In 38176 combined sentences, a vocabulary contains 3 categories of 3851 word and 2094 ICD (International Classification of Diseases) matching terms were obtained by calculating the similarity using word vectors. Proportion of the frequency of words and Mann-Whitney U test on word position were used to quantify the difference in patient’s gender and age group. RESULTS The vocabulary of the disease category accounts for 70%. We analyzed the word frequency and position in questions for different gender and age group. For gender, women participate in question answering more, accounting for 53% of total questions. They pay more attention to pregnancy, sleep and thyroid gland related vocabulary compared to men. Men focus more on circulation system, kidney failure related vocabulary. For different age group, pregnancy, glucose regulation, digestive and respiratory system related vocabulary have a higher proportion for patients under 40 years old. Patients over 40 years old pay more attention on kidney failure, cerebral ischaemia, infectious and circulation system. CONCLUSIONS This study provides a new insight into frequency and position of diabetes related diseases or symptoms in online medical services. It can show patients’ different attention by comparing disease or symptom categories for gender and age with ICD disease codes. The frequency and position of disease category words in patients’ conversation can be used for further risk evaluation for chronic diseases research.

scholarly journals 229 Sleep-wake behavior, meal timings and digital media duration of Indians during COVID-19 Lockdown

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A91-A92
Author(s):  
Babita Pande ◽  
Meenakshi Sinha ◽  
Ramanjan Sinha
Keyword(s):  
Digital Media ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Therapeutic Management ◽  
Daily Routine ◽  
Age Group ◽  
Younger Age ◽  
Gender And Age ◽  
Delayed Sleep ◽  
The Impact

Abstract Introduction Lockdown and stay home order has been imposed on people in many countries including India to prevent the community transmission of COVID-19 pandemic. However this social restriction led to disturbed daily routine and lifestyle behaviour that is needed to be attended for proper therapeutic management of overall health during such crisis. The impact of lockdown on the most apparent behavioral changes viz. sleep-wake behaviour, major meal timings, and digital screen duration of Indians were investigated. In addition the effects of gender and age were explored. Methods After seeking permission from Ethical Institution, an online questionnaire based survey was circulated within India in the first week of May, 2020 for which total 1511 male and female (age ≥18 years) subjects participated. The sleep-wake behavior observed were sleep-wake timings, sleep duration, mid sleep time (MST) as function of lockdown, and social (lockdown) jetlag (SJL = MST before lockdown-MST during lockdown). Results The sleep onset-wakeup and meal times were significantly delayed during lockdown, which was more pronounced in younger age group. The sleep duration increased, specifically in young individuals during lockdown. Females showed more delayed sleep onset-waking times and first meal timing with longer sleep duration during lockdown. Increased digital media duration was observed in all age groups, primarily in males. The younger age group and specifically female reported higher SJL and delayed MST. A positive association was obtained between sleep duration & first meal time, and SJL & major meal timings/screen duration, and a significant negative relationship of sleep duration and SJL with age. Conclusion The study shows delayed sleep-wake schedule, meal timings and increased digital media duration among Indians during COVID-19 lockdown compared to before lockdown. Also, gender and age emerged as important mediating factors for this alteration. The pandemic has given opportunity to sleep more and compensate for the sleep. In spite of that, the higher social jetlag in young age group and female showed the compromised sleep and maladaption with societal timing. These findings have applied implications in sleep health during longer social isolation conditions and for proper therapeutic management. Support (if any) No

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