Han-Na Kim

Han-Na Kim


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 January 2021 in Nature Genetics
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AKAlexander Kurilshikov
Alexander Kurilshikov
CGCarolina Medina Gomez
Carolina Medina Gomez
RBRodrigo Bacigalupe
Rodrigo Bacigalupe
DRDjawad Radjabzadeh
Djawad Radjabzadeh
JWJun Wang
Jun Wang
AZAlexandra Zhernakova
Alexandra Zhernakova

14 September 2018 in Journal of Clinical Medicine
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SLSu Hwan Lee
Su Hwan Lee
YYYeojun Yun
Yeojun Yun
SKSoo Jung Kim
Soo Jung Kim
ELEUNJU LEE
EUNJU LEE
YCYoosoo Chang
Yoosoo Chang
JLJin Hwa Lee
Jin Hwa Lee
There have been few large-scale studies on the relationship between smoking and gut microbiota. We investigated the relationship between smoking status and the composition of gut microbiota. This was a population-based cross-sectional study using Healthcare Screening Center cohort data. A total of 758 men were selected and divided into three groups: never (n = 288), former (n = 267), and current smokers (n = 203). Among the three groups, there was no difference in alpha diversity, however, Jaccard-based beta diversity showed significant difference (p = 0.015). Pairwise permutational multivariate analysis of variance (PERMANOVA) tests between never and former smokers did not show a difference; however, there was significant difference between never and current smokers (p = 0.017) and between former and current smokers (p = 0.011). Weighted UniFrac-based beta diversity also showed significant difference among the three groups (p = 0.038), and pairwise PERMANOVA analysis of never and current smokers showed significant difference (p = 0.01). In the analysis of bacterial composition, current smokers had an increased proportion of the phylum Bacteroidetes with decreased Firmicutes and Proteobacteria compared with never smokers, whereas there were no differences between former and never smokers. In conclusion, gut microbiota composition of current smokers was significantly different from that of never smokers. Additionally, there was no difference in gut microbiota composition between never and former smokers.

10 November 2020 in Scientific Reports
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MKMi-Hyun Kim
Mi-Hyun Kim
KYKyung Eun Yun
Kyung Eun Yun
JKJimin Kim
Jimin Kim
EPEunkyo Park
Eunkyo Park
YCYoosoo Chang
Yoosoo Chang
HKHan-Na Kim
Han-Na Kim
Although obesity is associated with numerous diseases, the risks of disease may depend on metabolic health. Associations between the gut microbiota, obesity, and metabolic syndrome have been reported, but differences in microbiomes according to metabolic health in the obese population have not been explored in previous studies. Here, we investigated the composition of gut microbiota according to metabolic health status in obese and overweight subjects. A total of 747 overweight or obese adults were categorized by metabolic health status, and their fecal microbiota were profiled using 16S ribosomal RNA gene sequencing. We classified these adults into a metabolically healthy group (MH, N = 317) without any components of metabolic syndrome or a metabolically unhealthy group (MU, N = 430) defined as having at least one metabolic abnormality. The phylogenetic and non-phylogenetic alpha diversity for gut microbiota were lower in the MU group than the MH group, and there were significant differences in gut microbiota bacterial composition between the two groups. We found that the genus Oscillospira and the family Coriobacteriaceae were associated with good metabolic health in the overweight and obese populations. This is the first report to describe gut microbial diversity and composition in metabolically healthy and unhealthy overweight and obese individuals. Modulation of the gut microbiome may help prevent metabolic abnormalities in the obese population.

4 July 2017 in BMC Microbiology
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YYYeojun Yun
Yeojun Yun
HKHan-Na Kim
Han-Na Kim
SKSong E. Kim
Song E. Kim
SHSeong Gu Heo
Seong Gu Heo
YCYoosoo Chang
Yoosoo Chang
HKHyung-Lae Kim
Hyung-Lae Kim
Gut microbiota plays an important role in the harvesting, storage, and expenditure of energy obtained from one’s diet. Our cross-sectional study aimed to identify differences in gut microbiota according to body mass index (BMI) in a Korean population. 16S rRNA gene sequence data from 1463 subjects were categorized by BMI into normal, overweight, and obese groups. Fecal microbiotas were compared to determine differences in diversity and functional inference analysis related with BMI. The correlation between genus-level microbiota and BMI was tested using zero-inflated Gaussian mixture models, with or without covariate adjustment of nutrient intake. We confirmed differences between 16Sr RNA gene sequencing data of each BMI group, with decreasing diversity in the obese compared with the normal group. According to analysis of inferred metagenomic functional content using PICRUSt algorithm, a highly significant discrepancy in metabolism and immune functions (P < 0.0001) was predicted in the obese group. Differential taxonomic components in each BMI group were greatly affected by nutrient adjustment, whereas signature bacteria were not influenced by nutrients in the obese compared with the overweight group. We found highly significant statistical differences between normal, overweight and obese groups using a large sample size with or without diet confounding factors. Our informative dataset sheds light on the epidemiological study on population microbiome.

11 January 2019 in Journal of Clinical Medicine
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WYWon Jae Yoon
Won Jae Yoon
HKHan-Na Kim
Han-Na Kim
EPEunkyo Park
Eunkyo Park
SRSeungho Ryu
Seungho Ryu
YCYoosoo Chang
Yoosoo Chang
SYSun Young Yi
Sun Young Yi
Cholecystectomy alters the bile flow into the intestine and the enterohepatic circulation of the bile acids; this may affect the gut microbiota. We assessed the gut microbiota composition of patients who had undergone cholecystectomy and compared with those who had not. From a cohort of 1463 adult participants who underwent comprehensive health screening examinations, 27 subjects who had undergone cholecystectomy (cholecystectomy group) and 81 age- and sex-matched subjects who had not (control group) were selected. Clinical parameters were collected and compared. Microbial composition was determined by 16S rRNA gene sequencing of DNA extracted from fecal samples. We evaluated differences in the overall microbial composition and in the abundance of taxa. The two groups were comparable with respect to clinical characteristics and laboratory results. The actual number of taxa observed in a sample (observed features) was significantly lower in the cholecystectomy group than in the control group (p = 0.042). The beta diversity of Jaccard distance index was significantly different between the two groups (p = 0.027). Blautia obeum and Veillonella parvula were more abundant in the cholecystectomy group. The difference in the diversity of the gut microbiota between the cholecystectomy and control groups was subtle. However, B. obeum and V. parvula, which have azoreductase activity, were more abundant in the cholecystectomy group. The impact of such changes in the gut microbiota on health remains to be determined.

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HKHan-Na Kim
Han-Na Kim
EJEun-Jeong Joo
Eun-Jeong Joo
HCHae Suk Cheong
Hae Suk Cheong
YKYejin Kim
Yejin Kim
HKHyung-Lae Kim
Hyung-Lae Kim
SRSeungho Ryu
Seungho Ryu
Gut dysbiosis is regarded as a pathogenetic factor of nonalcoholic fatty liver disease (NAFLD), but its role in NAFLD persistence is unknown. We investigated the influence of the gut microbiota on persistent NAFLD. This cohort study included 766 subjects with 16S ribosomal RNA (rRNA) gene sequencing data from fecal samples at baseline who underwent repeated health check-up examinations. Fatty liver was determined using ultrasound at baseline and follow-up. Participants were categorized into four groups: none (control), developed, regressed, or persistent NAFLD. The persistent NAFLD group had lower richness compared with the control group. Significant differences were also found in both non-phylogenic and phylogenic beta diversity measures according to NAFLD persistence. Pairwise comparisons indicated that taxa abundance mainly differed between the control and persistent NAFLD groups. A relative high abundance of Fusobacteria and low abundance of genera Oscillospira and Ruminococcus of the family Ruminococcaceae and genus Coprococcus of the family Lachnospiraceae were found in the persistent NAFLD group. Based on the functional predictions, pathways related to primary and secondary bile acid biosynthesis were highly detected in the persistent NAFLD group compared with the control group. These findings support that the composition of the gut microbiome associated with dysregulation of bile acid biosynthetic pathways may contribute to the persistence of NAFLD. This is the first cohort study to demonstrate the influence of microbiota on persistent NAFLD. Our findings may help identify potential targets for therapeutic intervention in NAFLD.