Eun-Ju Kim’s research while affiliated with Pukyong National University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (202)


In situ formed sulfide–mediated aging of polystyrene microplastics and its impact on the fate of heavy metals in anaerobic digestion
  • Article

March 2025

Journal of Hazardous Materials

Jihee Kim

·

Ana Gabriela Chuquer Licto

·

Kyungjin Cho

·

Eun-Ju Kim



Fig. 1. Bacterial growth modulation by HIVA and HICA on the gut microbiota at the (A) species level and (B, C) family level. (A) The heat map represents the differences in the maximal optical density at the species level compared with negative control (NC) by HIVA and HICA treatment. The box plots represent the differences by (B) HIVA and (C) HICA at family level. All values are expressed as the average of three biological replicates. Different letters above the box plots in (C) and (C) indicate significant differences according to Duncan's multiple range test (p < 0.05).
Fig. 2. Bacterial growth modulation by HIVA and HICA at various concentrations on the growth of probiotics and pathogens. BHI broth was used as a negative control (NC) and inulin 0.25 mg/ml as a positive control (PC). (A) L. plantarum KACC 11451 (B) L. fermentum KCTC15072BP (C) L. salivarius KGMB 02057 (D) B. fragilis KCTC 5013. All values are expressed as the average of three biological replicates with standard deviation. The significance was determined using independent sample t-test (*p < 0.05).
Fig. 3. Production levels of (A) HIVA and (B) HICA by the gut microbiota at the family level. All values are expressed as the average of three biological replicates with standard deviation. The significance was determined using Duncan's multiple range test, and different letters above the bar graphs indicate significant differences (p < 0.05).
Fig. 4. Correlation between the growth variation of the gut microbiota and their production of (A) HIVA and (B) HICA. Pearson correlation coefficient and p-values are shown. r, Pearson correlation coefficient; *p < 0.05.
Exploring the Characteristics of Gut Microbiota Associated with Depression via the Depression Assessment Scales
  • Article
  • Full-text available

November 2024

·

56 Reads

·

2 Citations

Journal of Microbiology and Biotechnology

Depression is a prevalent mental disorder with an increasing economic burden, and its pathogenesis remains poorly understood. Given the emerging evidence linking gut microbiota to mental health, a better understanding of microbial profiles associated with depression is necessary. Here, we explore the association between gut microbiota and depression by utilizing 16S rRNA amplicon sequencing and depression assessment scales, including the Hamilton Depression Rating Scale (HDRS) and the Beck Depression Inventory (BDI). The study cohort consisted of 46 subjects, categorized into depression and normal groups based on medical diagnoses and depression scale scores. Our analyses revealed that HDRS-based classification better identified distinct gut microbiota structures associated with depression than medical diagnoses alone. Notably, lower beta diversity was observed in individuals with depression, indicating a more homogeneous gut microbial community. By employing both HDRS and BDI scores simultaneously, we identified specific taxa, such as Bilophila and Alistipes, which are linked to depressive symptoms. These findings highlight the potential of using depression assessment scales in conjunction with gut microbiota data to advance our understanding of depression and inform future treatment strategies.

Download


Development of a blocking ELISA for detection of Japanese encephalitis virus antibodies in pig and horse sera

September 2024

·

19 Reads

Korean Journal of Veterinary Research

Japanese encephalitis virus (JEV) is a mosquito-borne virus that can infect pigs, horses, and other mammals, including humans. Sero-epidemiological investigations of JEV have been performed using hemagglutination inhibition (HI), virus neutralization (VN) tests and enzyme-linked immunosorbent assay (ELISA). A need exists for a new ELISA that can detect JEV antibodies in the sera of several animal species. We aimed to develop a blocking ELISA (B-ELISA) for detecting JEV antibodies in pig and horse serum samples. JEV antibodies in 218 pig and 315 horse serum samples were measured using HI and VN tests. The purified KV1899-306 strain was used as an antigen for B-ELISA. The purified antibody (7A13) was conjugated with horseradish peroxidase and used as a detector antibody. The sera of pigs and horses to measure antibody against JEV were subjected to B-ELISA and analyzed. The B-ELISA had a diagnostic sensitivity of 94.6% to 100%, a specificity of 91.2 to 100%, and an accuracy of 94.9 to 98.6% compared with those of the HI and VN tests in pig and horse sera. The B-ELISA had a higher correlation with pig sera (r = 0.89 and 0.90 for VN and HI) than with horse sera (r = 0.75 and to 0.79). The new B-ELISA could be useful in the sero-surveillance of JEV in pig and horse sera and replace indirect ELISA.






Citations (73)


... Through an comprehensive analysis of serum metabolomics, gut and oral microbiome, several potential probiotic genera were identified with high abundance in the gut of centenarians, such as Akkermansia, Alistipes, and Christensenellaceae R-7 group. More precisely, genus Alistipes has been reported to exhibit dual roles: it offers protective effects in conditions like colitis, autism spectrum disorders, and various liver and cardiovascular fibrotic diseases, while also showing pathogenicity in anxiety, myalgic encephalomyelitis/chronic fatigue syndrome, depression, pervasive developmental disorder not otherwise specified and colorectal cancer [43][44][45][46][47]. Additionally, Akkermansia muciniphila has been shown to improve metabolism, alleviate cognitive impairment, exert antitumor effects, and enhance gut barrier function [48][49][50][51]. ...

Reference:

Serum metabolic and microbial profiling yields insights into promoting effect of tryptophan‐related metabolites for health longevity in centenarians
Exploring the Characteristics of Gut Microbiota Associated with Depression via the Depression Assessment Scales

Journal of Microbiology and Biotechnology

... This difference may be due to the substrate on which the larvae were raised. Kim et al. (2025) presented the results of the antitumor effect on the animal's body (laboratory mice were used in the study), chitin helps to reduce the mass of adipose tissue in obesity and increases the diversity of intestinal microbiota with beneficial microorganisms, increases the number of lactobacilli. In this research, chitin obtained from Hermetia illucens was introduced into the stomach every other day using a probe as a chitin solution at a dosage of 10 mg/kg. ...

Insect chitosan derived from Hermetia illucens larvae suppresses adipogenic signaling and promotes the restoration of gut microbiome balance
  • Citing Article
  • November 2024

International Journal of Biological Macromolecules

... Numerical simulations, including the computational fluid dynamics (CFD) and lattice Boltzmann method (LBM), have supported experimental observations and revealed underlying mechanisms of clogging [34,35,28,29,36]. Direct simulation of colloid behavior is computationally expensive, and is therefore usually limited to a small number of pores that overlook the full complexities of the pore structure [37]. Some researchers have also explored training artificial intelligence models using simulation data from CFD or LBM to expedite predictions of the clogging process [38,39]. ...

Progress and future directions bridging microplastics transport from pore to continuum scale: A comprehensive review for experimental and modeling approaches
  • Citing Article
  • July 2024

TrAC Trends in Analytical Chemistry

... 19 For example, the moisture content of Chinese cabbage in the northern region of Korea is higher than that in the southern region of Korea, which significantly affects the microorganisms inhabiting the Chinese cabbage. 20,21 Environmental factors (e.g. season, climate and soil composition) can also influence the initiating microorganisms of spontaneously fermented spicy cabbage. ...

Effects of seasonal harvest of kimchi cabbage on microbial and metabolic profiles of kimchi
  • Citing Article
  • May 2024

... A metabolic pathway analysis was performed using MetaboAnalyst 6.0 based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database [20]. The KEGG pathway library of lactobacillus in prokaryotes was selected as the analytical parameter for pathway analysis [21]. The pathway-based network analysis of the results was performed using Cytoscape 3.8 with the KEGGscape 0.9.1 plugin [22,23]. ...

Effects of garlic on kimchi metabolites exerted through selective growth control of Lactobacillus and Leuconostoc
  • Citing Article
  • April 2024

LWT

... 3 Similar results were also reported in previous studies. 35,36 In detail, the relative abundance of Leuconostoc and Companilactobacillus in LNSC was higher than in YBSC, and the relative abundance of Latilactobacillus in YBSC was higher than in LNSC (Fig. S1B). Among these, Leuconostoc is known as a bacterium with high salt tolerance, and it is responsible for initiating lactic acid fermentation, which is consistent with our result (Fig. 1(D),(I)). ...

Impact of essential and optional ingredients on microbial and metabolic profiles of kimchi

Food Chemistry X

... Moreover, Lee et al. [6] highlighted that salinity significantly affects the types and concentrations of fermentation metabolites in kimchi. Lee et al. [7] observed that the dominant lactic acid bacteria genera varied based on salinity, with Lactobacillus and Weissella proliferating in high-salinity environments and Leuconostoc predominating in all environments regardless of salinity levels. Xing et al. [8] reported that the growth rate of Leuconostoc mesenteroides peaked at 2% salinity, indicating optimal conditions for kimchi flavor development, while salinity levels over 6% inhibited growth. ...

A comparative study of the physicochemical, microbial, and metabolic profiling of kimchi during long-term fermentation under varying salinity conditions

LWT

... In addition, four butyric acid-producing bacteria, Bifidobacterium spp., Faecalibacterium prausnitzii, and Roseburia spp. (Barcenilla et al., 2000;Duncan et al., 2004), and five lactic acid-producing bacteria, Leuconostoc citreum, Leuconostoc mesenteroides, Lactobacillus sakei, Weissella cibaria, and Weissella koreensis (Choi et al., 2024;Lee et al., 2022b), were selected, and these bacteria are beneficial intestinal bacteria that have anti-inflammatory effects and function as immunostimulants. ...

Selective influence of garlic as a key ingredient in kimchi on lactic acid bacteria in a fermentation model system

Heliyon

... However, a knowledge gap exists regarding the mechanism behind DOC attenuation in aquifers and the ability to predict the efficiency of DOC attenuation in an ASR system through DIR. Although several studies mainly focused on water quality improvement during MAR or ASR, their purpose was more focused on the biodegradation efficiency of specific pollutants including chlorination byproducts (Pavelic et al., 2005), nutrients (N, P, and TOC) (Vanderzalm et al., 2013), nitrate with the synergistic process (i.e., nitrate-dependent ferrous oxidation; NDFO) (Anggraini et al., 2024), pesticides (Kruisdijk et al., 2022), trihalomethanes, and haloacetic acids (Overacre et al., 2006). The DOC attenuation-mediated aquifer mineralogical changes during the ASR process were not systematically addressed. ...

Synergetic effect of nitrate on dissolved organic carbon attenuation through dissimilatory iron reduction during aquifer storage and recovery

Water Research

... Axiomatic design is implemented according to the following steps; the problem is defined in the finest detail (step 1), the alternatives required for the solution of the problem are determined, (step 2), the criteria to be considered when comparing alternatives are determined (step 3), the design ranges of the criteria and the system ranges of the alternatives are determined (step 4), the information Coagulation Cougulant: PAC (1-10 mg Al/L), pH 6.5, coagulation (160 rpm, 2 min), flocculation (60 rpm, 30 min) and sedimentation (10 min), MP type: PET fiber 76.00 (Na et al. 2024) content of each alternative is calculated (step 5), the alternative with the smallest information content is accepted as the alternative that meets the determined criteria to the most appropriate extent (step 6). The steps in applying the Axiomatic design methodology are explained in more detail below. ...

Fate and potential risks of microplastic fibers and fragments in water and wastewater treatment processes
  • Citing Article
  • November 2023

Journal of Hazardous Materials