Fourier transform infrared spectroscopy and machine learning for Porphyromonas gingivalis detection in oral bacteria.

Porphyromonas gingivalis, a Gram-negative anaerobic bacillus, is the primary pathogen in periodontitis. Herein, we cultivated strains of oral bacteria, including P. gingivalis and the oral commensal bacteria Actinomyces viscosus and Streptococcus mutans, and recorded the infrared absorption spectra of the gases released by the cultured bacteria at a resolution of 0.5 cm-1 within the wavenumber range of 500-7500 cm-1. From these spectra, we identified the infrared wavenumbers associated with characteristic absorptions in the gases released by P. gingivalis using a decision tree-based machine learning algorithm. Finally, we compared the obtained absorbance spectra of ammonia (NH3) and carbon monoxide (CO) using the HITRAN database. We observed peaks at similar positions in the P. gingivalis gases, NH3, and CO spectra. Our results suggest that P. gingivalis releases higher amounts of NH3 and CO than A. viscosus and S. mutans. Thus, combining Fourier transform infrared spectroscopy with machine learning enabled us to extract the specific wavenumber range that differentiates P. gingivalis from a vast dataset of peak intensity ratios. Our method distinguishes the gases from P. gingivalis from those of other oral bacteria and provides an effective strategy for identifying P. gingivalis in oral bacteria. Our proposed methodology could be valuable in clinical settings as a simple, noninvasive pathogen diagnosis technique.

Linagliptin Inhibits Interleukin-6 Production Through Toll-Like Receptor 4 Complex and Lipopolysaccharide-Binding Protein Independent Pathway in vitro Model.

PURPOSE: Lipopolysaccharides (LPS) induce inflammation by binding to the Toll-like receptor (TLR) 4 complex, including LPS-binding protein (LBP). The anti-inflammatory effects of linagliptin in LPS-induced inflammation in the TLR4-independent pathway have not been examined before. We examined the anti-inflammatory effects of linagliptin in the TLR4- and the LBP-independent pathway. METHODS: U937 cells were cultured in the medium supplemented with 10% fetal bovine serum (FBS) and treated with 100 nM phorbol myristate acetate for 48 h. Cells were then left untreated or were treated with 10 µg/mL anti-TLR4 antibodies alone or in combination with linagliptin for 1 h in media supplemented with or without 10% FBS. The cells were divided into 5 groups: a) control cells (untreated) b) cells treated with LPS c) cells treated with 10 µg/mL anti-TLR4 antibodies d) cells treated with LPS and 10 µg/mL anti-TLR4 antibodies and e) cells treated with LPS, 10 µg/mL anti-TLR4 antibodies, and linagliptin. The LPS concentrations used were 50 pg/mL or 100 pg/mL for cells treated in the presence of 10% FBS and 100 pg/mL or 1 µg/mL for cells treated in the absence of FBS. Linagliptin concentrations of 1 nM, 10 nM, and 100 nM were used for treatment. The supernatants were analyzed for interleukin (IL)-6 production after 24 h of various treatments. RESULTS: LPS increased IL-6 production compared to the untreated control cells, and anti-TLR4 antibody suppressed LPS-induced increased IL-6 levels. Linagliptin suppressed LPS-induced IL-6 production in a concentration-dependent manner in the presence of FBS. However, only 100 nM linagliptin could suppress LPS-induced IL-6 production in the absence of FBS. CONCLUSION: Concentration-dependent and -independent inflammatory suppression was observed following linagliptin treatment after LPS induction in an experimental model of TLR4 inhibition by anti-TLR4 antibodies. Our results showed that linagliptin may inhibit inflammation through multiple mechanisms centered around the TLR-4-mediated pathway.

Rehabilitation improves prognosis and activities of daily living in hemodialysis patients with low activities of daily living.

BACKGROUND: Activities of daily living (ADL) in aged hemodialysis patients decrease by many factors as hemodialysis therapy, various disease-related complications and underlying disease for rehabilitation. But the correlation between low ADL and mortality remains unclear. We assessed the levels of ADL and effects of rehabilitation in hemodialysis patients with low ADL. Moreover, the association between the baseline functional independence measure (FIM) or rehabilitation treatment effects and all-cause mortality were investigated. METHODS: This prospective cohort study included 182 inpatients on maintenance hemodialysis, who underwent rehabilitation for a decline in ADL. Before and after initiating rehabilitation, ADL were assessed using FIM. RESULTS: The total baseline FIM was 65.1±26.9 (motor items: 39.5±18.7; cognitive items: 25.6±10.7). After rehabilitation, the total FIM increased to 77.1±33.1 (motor items: 50.9±24.4; cognitive items: 26.1±10.8). The baseline FIM, presence or absence of FIM increase, and albumin were significantly associated with mortality. Moreover, the mortality hazard ratio in patients with FIM ≤67 and no FIM increase was 20-fold significantly higher than that in patients with FIM ≥68 and FIM increase. The cognitive items and albumin were significantly associated with the rehabilitation effects in multivariate analysis. CONCLUSIONS: Although the FIM decreased by half in hemodialysis patients, rehabilitation improved their FIM (particularly the motor items). The FIM was a novel predictive marker of 3-year mortality in these patients, and an increased FIM after rehabilitation resulted in better prognosis. Moreover, the effectiveness of rehabilitation may depend on maintaining cognitive functions.