Novel Trajectories for Identifying Asthma Phenotypes: A Longitudinal Study in Korean Asthma Cohort, COREA

Kim, Jae Pil; Shin, Bo-Mi; Kim, Hyo Jung; Park, Heung-Woo; Chang, Yoon‐Seok; Cho, Sang Heon; Won, Sungho; Park, Taesung; Moon, Hee‐Bom; Kim, Chang-Soo; Kim, Tae‐Bum; Song, Woo-Jung; Kwon, Hyouk‐Soo; Cho, You Sook; Kim, Sae-Hoon; Choi, Byoung Whui; Jung, Jae-Woo; Cho, Young-Joo; Kim, Min-Hye; Jang, An‐Soo; Shin, Yoo Seob; Moon, Ji-Yong; Kwon, Jae-Woo; Kim, Sang-Hoon; Park, So Young; Lee, Taehoon; Kim, Sujeong; Park, Chan Sun; Kim, Joohee; Choi, Jeong‐Hee; Nam, Young‐Hee; Yoon, Sun‐Young; Jin, Hyun Jung; Yang, Min‐Suk; Lee, Jaechun; Park, Hye Kyung; Hur, Gyu Young; Kim, Hee-Kyoo; Kim, Sang-Ha

doi:10.1016/j.jaip.2019.02.011

Cited by 17 publications

(11 citation statements)

References 19 publications

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“…Statistical analyses such as latent class (LC) and cluster analysis have been increasingly used to investigate the heterogeneity of diseases to identify phenotypes with combinations of clinical and laboratory findings. Performed either by hypothesis or data-driven methods, this approach has been shown to stratify entities with high clinical variabilities such as sarcoidosis, essential hypertension, and others (Guo et al, 2017;Park et al, 2019;Rubio-Rivas and Corbella, 2020).…”

Section: See Related Article On Pg 1236mentioning

confidence: 99%

“…Third, schema stability should be assessed because crosssectionally defined subgroups may not reflect the temporal variability of the disease. Longitudinal trajectory was incorporated into an analysis for asthma and significantly improved schema stability and significantly predicted exacerbation (Park et al, 2019). Fourth, longitudinal data are also needed to evaluate the predictive validity for meaningful outcomes, such as reduction in disease severity, risk of disease progression, time to flare, or flare frequency.…”

Section: Next Stepsmentioning

confidence: 99%

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Unraveling the Heterogeneity of Hidradenitis Suppurativa with Phenotype Schema

Kirby

2021

Journal of Investigative Dermatology

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Section: See Related Article On Pg 1236mentioning

confidence: 99%

Section: Next Stepsmentioning

confidence: 99%

Unraveling the Heterogeneity of Hidradenitis Suppurativa with Phenotype Schema

Kirby

2021

Journal of Investigative Dermatology

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“…These associations thus suggest a potential role of these bacterial species in the production of CLA and CLnA in vivo in humans. In fact, it has been demonstrated in vitro that Bifidobacterium can produce both CLA and CLnA but that Eubacterium ventriosum and Lactobacillus only produce CLA [81,82].…”

Section: Triglycerides Cholesterol and Saturated And Unsaturated Famentioning

confidence: 99%

Gut microbiota-derived metabolites in obesity: a systematic review

Ejtahed

Soroush

Hasani‐Ranjbar

et al. 2020

Bioscience of Microbiota, Food and Health

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Recent evidence suggests that gut microbiota-derived metabolites affect many biological processes of the host, including appetite control and weight management. Dysbiosis of the gut microbiome in obesity influences the metabolism and excretion of gut microbiota byproducts and consequently affects the physiology of the host. Since identification of the gut microbiota-host co-metabolites is essential for clarifying the interactions between the intestinal flora and the host, we conducted this systematic review to summarize all human studies that characterized the gut microbiota-related metabolites in overweight and obese individuals. A comprehensive search of the PubMed, Web of Science, and Scopus databases yielded 2137 articles documented up to July 2018. After screening abstracts and full texts, 12 articles that used different biosamples and methodologies of metabolic profiling and fecal microbiota analysis were included. Amino acids and byproducts of amino acids, lipids and lipid-like metabolites, bile acids derivatives, and other metabolites derived from degradation of carnitine, choline, polyphenols, and purines are among the gut microbiota-derived metabolites which showed alterations in obesity. These metabolites play an important role in metabolic complications of obesity, including insulin resistance, hyperglycemia, and dyslipidemia. The results of this study could be useful in development of therapeutic strategies with the aim of modulating gut microbiota and consequently the metabolic profile in obesity.

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“…[1] Recent cluster analyses have demonstrated an exacerbation-prone phenotype in a certain number of asthmatics. [2,3] Because asthma exacerbation is a potentially life-threatening condition, risk factors for exacerbation-prone asthma have been under intense research to assist in early diagnosis and the development of new treatment strategies. During the past decade, hypothesis-driven and hypothesis-free approaches about genetic factors and gene-environment interactions have been applied and many possibly associated genetic variants have been identi ed, including several single nucleotide polymorphisms (SNPs).…”

Section: Introductionmentioning

confidence: 99%

Association of Genetic Variants of Oxidative Stress Responsive Kinase 1 (OXSR1) with Asthma Exacerbations in Non-Smoking Asthmatics

Kim1

Chang

Lee

et al. 2021

Preprint

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Background: Asthma exacerbation threatens patient's life. Several genetic studies have been conducted to determine the risk factors for asthma exacerbation, but this information is still lacking. We aimed to determine whether genetic variants of Oxidative Stress Responsive Kinase 1(OXSR1), a gene with functions of salt transport, immune response, and oxidative stress, are associated with exacerbation of asthma.Methods: Clinical data were obtained from 1,454 asthmatics and single nucleotide polymorphisms (SNPs) of OXSR1 were genotyped. Genetic associations with annual exacerbation rate were analyzed depending on smoking status. Results: Eleven SNPs were selected using Asian data in the International HapMap database. The common allele of rs1384006 C>T of OXSR1 showed a significantly higher annual exacerbation rate than the rare allele in non-smoking asthmatics (CC vs. CT vs. TT: 0.43 ± 0.04 vs. 0.28 ± 0.03 vs. 0.31 ± 0.09, P=0.004, Pcorr=0.039). The frequent exacerbators had a significantly higher frequency of the common allele of rs1384006 C>T than did the infrequent exacerbators (74.4% vs. 55.2%, P=0.004, P corr=0.038). Conclusion: The common allele of rs1384006 C>T of OXSR1 was associated with the asthma exacerbation rate and a higher risk of being a frequent exacerbator, indicating that non-smoking asthmatics who carry common alleles may be vulnerable to asthma exacerbations.

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Novel Trajectories for Identifying Asthma Phenotypes: A Longitudinal Study in Korean Asthma Cohort, COREA

Cited by 17 publications

References 19 publications

Unraveling the Heterogeneity of Hidradenitis Suppurativa with Phenotype Schema

Unraveling the Heterogeneity of Hidradenitis Suppurativa with Phenotype Schema

Gut microbiota-derived metabolites in obesity: a systematic review

Association of Genetic Variants of Oxidative Stress Responsive Kinase 1 (OXSR1) with Asthma Exacerbations in Non-Smoking Asthmatics

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