Dataset Information

Dynamic stability of cholesterol and desmosterol in human milk from four Asian countries.

ABSTRACT: Cholesterol is one of the functional nutrients in human milk, which is indispensable for infant growth. In this study, the concentration of cholesterol and desmosterol in human milk from four Asian countries (n = 578), including Korea, China, Vietnam, and Pakistan, were investigated. The average cholesterol concentrations of Korea and China were similar ranging between 90.2-91.6 mg/L, but those from Vietnam and Pakistan were higher at 113.8 and 175.7 mg/L, respectively. The relative standard deviations were 31-36%, except for Pakistan (51%), showing a broad distribution of 48 to 612 mg/L. Desmosterol concentrations were similar, ranging between 11.2 and 12.8 mg/L except for Pakistan, which was lower than other countries at 9.4 mg/L. In addition, the cholesterol and desmosterol concentrations during the lactation periods were not significantly different in all four Asian countries. Mothers' BMI did not significantly impact the cholesterol and desmosterol concentration in maternal milk within the same country.

Supplementary information

The online version contains supplementary material available at 10.1007/s10068-022-01141-9.

SUBMITTER: Kim J

PROVIDER: S-EPMC9582050 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Dynamic stability of cholesterol and desmosterol in human milk from four Asian countries.

Kim Jieun J Nguyen My Tuyen Thi MTT Kim Yongki Y Jung Ji A JA Li Dan D To Mai Xuan Hong MXH Nguyen Huynh Khanh Trang HKT Van Le Thanh T Israr Beenish B An Hyun Joo HJ Kim Jaehan J

Food science and biotechnology 20220816 12

Cholesterol is one of the functional nutrients in human milk, which is indispensable for infant growth. In this study, the concentration of cholesterol and desmosterol in human milk from four Asian countries (n = 578), including Korea, China, Vietnam, and Pakistan, were investigated. The average cholesterol concentrations of Korea and China were similar ranging between 90.2-91.6 mg/L, but those from Vietnam and Pakistan were higher at 113.8 and 175.7 mg/L, respectively. The relative standard dev ...[more]

PMID: 36278138

Similar Datasets

Project description:BackgroundCOVID-19, caused by SARS-CoV-2, has led to a global pandemic. The World Health Organization has also declared an infodemic (ie, a plethora of information regarding COVID-19 containing both false and accurate information circulated on the internet). Hence, it has become critical to test the veracity of information shared online and analyze the evolution of discussed topics among citizens related to the pandemic.ObjectiveThis research analyzes the public discourse on COVID-19. It characterizes risk communication patterns in four Asian countries with outbreaks at varying degrees of severity: South Korea, Iran, Vietnam, and India.MethodsWe collected tweets on COVID-19 from four Asian countries in the early phase of the disease outbreak from January to March 2020. The data set was collected by relevant keywords in each language, as suggested by locals. We present a method to automatically extract a time-topic cohesive relationship in an unsupervised fashion based on natural language processing. The extracted topics were evaluated qualitatively based on their semantic meanings.ResultsThis research found that each government's official phases of the epidemic were not well aligned with the degree of public attention represented by the daily tweet counts. Inspired by the issue-attention cycle theory, the presented natural language processing model can identify meaningful transition phases in the discussed topics among citizens. The analysis revealed an inverse relationship between the tweet count and topic diversity.ConclusionsThis paper compares similarities and differences of pandemic-related social media discourse in Asian countries. We observed multiple prominent peaks in the daily tweet counts across all countries, indicating multiple issue-attention cycles. Our analysis identified which topics the public concentrated on; some of these topics were related to misinformation and hate speech. These findings and the ability to quickly identify key topics can empower global efforts to fight against an infodemic during a pandemic.

Dataset Information

Dynamic stability of cholesterol and desmosterol in human milk from four Asian countries.

Supplementary information

Publications

Dynamic stability of cholesterol and desmosterol in human milk from four Asian countries.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets