1.Dynamics of bacterial communities in vaginas and feces between pre and postpartum of dairy cows
Jun-Kyu SON ; Dong-Hyeon KIM ; Jihwan LEE ; Sang-Bum KIM ; Beom-Young PARK ; Myunghoo KIM ; Sungsill LEE ; Tai-Young HUR ; Eun Tae KIM
Korean Journal of Veterinary Research 2021;61(1):e2-
The reproductive tracts have an intimate relationship with reproduction because there are bacterial communities that can affect reproductive health. The differences in the bacterial community of periparturient dairy cows were investigated. Vaginal and fecal samples were collected seven days before and after calving, and DNA was extracted to sequence the V3-V4 regions of the 16S rRNA genes. In the postpartum vaginas, operational taxonomic units, Chao1, Shannon, and Simpson were decreased, and phyla Fusobacteria and Bacteroidetes were increased. In summary, bacterial abundance can affect the periparturient biological differences in dairy cows, suggesting a susceptibility to infection within one week after calving.
2.Dynamics of bacterial communities in vaginas and feces between pre and postpartum of dairy cows
Jun-Kyu SON ; Dong-Hyeon KIM ; Jihwan LEE ; Sang-Bum KIM ; Beom-Young PARK ; Myunghoo KIM ; Sungsill LEE ; Tai-Young HUR ; Eun Tae KIM
Korean Journal of Veterinary Research 2021;61(1):e2-
The reproductive tracts have an intimate relationship with reproduction because there are bacterial communities that can affect reproductive health. The differences in the bacterial community of periparturient dairy cows were investigated. Vaginal and fecal samples were collected seven days before and after calving, and DNA was extracted to sequence the V3-V4 regions of the 16S rRNA genes. In the postpartum vaginas, operational taxonomic units, Chao1, Shannon, and Simpson were decreased, and phyla Fusobacteria and Bacteroidetes were increased. In summary, bacterial abundance can affect the periparturient biological differences in dairy cows, suggesting a susceptibility to infection within one week after calving.
3.Gut Microbiota-Derived Short-Chain Fatty Acids, T Cells, and Inflammation.
Chang H KIM ; Jeongho PARK ; Myunghoo KIM
Immune Network 2014;14(6):277-288
T cells are central players in the regulation of adaptive immunity and immune tolerance. In the periphery, T cell differentiation for maturation and effector function is regulated by a number of factors. Various factors such as antigens, co-stimulation signals, and cytokines regulate T cell differentiation into functionally specialized effector and regulatory T cells. Other factors such as nutrients, micronutrients, nuclear hormones and microbial products provide important environmental cues for T cell differentiation. A mounting body of evidence indicates that the microbial metabolites short-chain fatty acids (SCFAs) have profound effects on T cells and directly and indirectly regulate their differentiation. We review the current status of our understanding of SCFA functions in regulation of peripheral T cell activity and discuss their impact on tissue inflammation.
Adaptive Immunity
;
Cell Differentiation
;
Colitis
;
Cues
;
Cytokines
;
Fatty Acids, Volatile*
;
Immune Tolerance
;
Inflammation*
;
Interleukin-10
;
Microbiota
;
Micronutrients
;
T-Lymphocytes*
;
T-Lymphocytes, Regulatory
4.Incidence, Severity, and Mortality of Influenza During 2010–2020 in Korea:A Nationwide Study Based on the Population-Based National Health Insurance Service Database
Soo-Hee HWANG ; Hyejin LEE ; Myunghoo JUNG ; Sang-Hyun KIM ; Ho Kyung SUNG ; Myoung-don OH ; Jin Yong LEE
Journal of Korean Medical Science 2023;38(8):e58-
Background:
The epidemiology of influenza is commonly used to understand and establish relevant health policies for emerging respiratory infections, including coronavirus disease 2019 (COVID-19). However, Korea has no confirmed nationwide data on influenza incidence, severity, and mortality rate.
Methods:
We conducted a cross-sectional study to obtain epidemic data on influenza at the national level using National Health Insurance claims data during 2010 to 2020. Influenza cases were defined as 90-day timeframe episodes based on all inpatient and outpatient claims data with disease code J09, J10, and J11. Influenza incidence, severity, and mortality rate were calculated, and logistic regressions were performed to assess the associations of demographic characteristics and comorbidity with influenza-related hospitalization, severe illness, and death.
Results:
There were 0.3–5.9% influenza cases in the population from 2010 to 2020, with 9.7–18.9%, 0.2–0.9%, and 0.03–0.08% hospitalized, used in the intensive care unit, and dead, respectively. Age-standardized incidence and mortality rates were 424.3–6847.4 and 0.2–1.9 per 100,000 population, respectively. While more than half of the influenza cases occurred in populations aged younger than 20 years, deaths in older than 60 years accounted for more than two-thirds of all deaths.
Conclusion
This study provided the simplest but most important statistics regarding Korean influenza epidemics as a reference. These can be used to understand and manage other new acute respiratory diseases, including COVID-19, and establish influenza-related policies.