Differentially abundant gene functions between the non-bacteremic and bacteremic groups in the biofilm microbiome in extracorporeal membrane oxygenator catheters (ECMO).

(A) Gene functions enriched in the non-bacteremic group are colored green. The box plot represents the predicted value of the secretion system. Functional categories of genes on the ECMO catheters were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States. Differentially abundant functions were identified using linear discriminant analysis coupled with effect size measurements.</p

Patient characteristics.

Patient characteristics.</p

Differential abundance of taxa between bacteremic and non-bacteremic groups.

(A) Taxa identified by linear effect size with linear discriminant analysis (LDA) values of 2.5. Taxa enriched in different groups are displayed by color indicated in the key (red indicates taxa abundant in bacteremia) (B). Relative abundance of the nine discriminative genera selected from the LDA results.</p

sj-docx-1-taw-10.1177_20420986221129335 – Supplemental material for Angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and cancer risk: an updated meta-analysis of observational studies

Supplemental material, sj-docx-1-taw-10.1177_20420986221129335 for Angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and cancer risk: an updated meta-analysis of observational studies by Kayeong Shin, Jiwoo Yang, Yeuni Yu, Eunjeong Son, Kihun Kim and Yun Hak Kim in Therapeutic Advances in Drug Safety</p

Identification and comparison of highly connected clusters of co-occurring networks of extracorporeal membrane oxygenation microbiota.

(A) Non-bacteremic group. (B) Bacteremic group. Each node represents a genus and is colored by its assigned phylum. Hexagonal nodes represent hub taxa.</p

Taxonomic diversity of ECMO microbiomes.

(A) Comparison of alpha diversity indices between bacteremic and non-bacteremic groups. (B) Principal coordinates analysis plot based on Bray-Curtis dissimilarity.</p

Analysis of biofilms in extracorporeal membrane oxygenation catheters.

(DOCX)</p

Taxonomic profiles of extracorporeal membrane oxygenation samples.

(A) Phylum level taxonomic profile. (B) Genus level taxonomic profile.</p

Data sets.

(ZIP)</p

Table_1_Differential microbiota network in gingival tissues between periodontitis and periodontitis with diabetes.docx

Periodontitis and diabetes mellitus (DM) have a bidirectional relationship. Periodontitis is initiated by dysbiosis of oral microorganisms, and in particular, the characteristics of the microorganisms that have penetrated the tissue are directly related to the disease; therefore, we investigated the effect of DM on intragingival microbial profiling of patients with periodontitis. A total of 39 subjects were recruited and divided into three groups in this case control study as follows: healthy (NA, 10), periodontitis only (PD, 18), and periodontitis with DM (PD_DM, 11). Gingival tissue was collected, DNA was extracted, and whole-genome sequencing was performed. PD and PD_DM showed different characteristics from NA in diversity and composition of the microbial community; however, no difference was found between the PD nad PD_DM. PD_DM showed discriminatory characteristics for PD in the network analysis. PD showed a network structure in which six species were connected, including three red complex species, and PD_DM’s network was more closely connected and expanded, with six additional species added to the PD network. Although DM did not significantly affect α- and β-diversity or abundance of phyla and genera of microbiota that invaded the gingival tissue of patients with periodontitis, DM will affect the progression of periodontitis by strengthening the bacterial network in the gingival tissue.</p