Alveolar bone loss and tooth loss contribute to increase in cancer mortality among older patients

Abstract Background Both cancer and periodontitis are more prevalent with age. Information on their relationship in older patients is limited. This study aims to examine whether periodontitis is associated with increased risk of cancer mortality with a ≥ 75-year age group cohort. Methods A retrospective cohort study was conducted on 1146 patients who had digital radiographic examinations. Alveolar bone loss and loss of teeth were measured as indicators of periodontitis. Hazard ratio (HR) with 95% confidence interval (CI) were taken as the effect size to summarize the associations between periodontitis and risks of cancer mortality using the multivariate adjusted cox proportional hazards model and competing risk hazard model. Results Totally, 104 total cancer, 28 lip, oral cavity and pharynx (LOP) cancer, 39 digestive cancer and 13 respiratory cancer cases were documented over 10 years of follow-up. Total cancer (HR 1.27, 95% CI 1.06–1.53) displayed statistically significant associations with alveolar bone loss and tooth loss after adjusting for relevant confounding variables. We also observed borderline significant association between alveolar bone loss and LOP cancer (HR 1.45, 95% CI 0.99–2.12). The above associations were consistent with the results observed from the competing risk hazard models. Conclusion Our results indicate that older patients suffering from tooth loss or alveolar bone loss are at increased risks of cancer mortality, especially for total cancer and LOP cancer

De Novo Hybrid Assembly of the Salvia miltiorrhiza Mitochondrial Genome Provides the First Evidence of the Multi-Chromosomal Mitochondrial DNA Structure of Salvia Species

Salvia miltiorrhiza has been an economically important medicinal plant. Previously, an S. miltiorrhiza mitochondrial genome (mitogenome) assembled from Illumina short reads, appearing to be a single circular molecule, has been published. Based on the recent reports on the plant mitogenome structure, we suspected that this conformation does not accurately represent the complexity of the S. miltiorrhiza mitogenome. In the current study, we assembled the mitogenome of S. miltiorrhiza using the PacBio and Illumina sequencing technologies. The primary structure of the mitogenome contained two mitochondrial chromosomes (MC1 and MC2), which corresponded to two major conformations, namely, Mac1 and Mac2, respectively. Using two approaches, including (1) long reads mapping and (2) polymerase chain reaction amplification followed by Sanger sequencing, we observed nine repeats that can mediate recombination. We predicted 55 genes, including 33 mitochondrial protein-coding genes (PCGs), 3 rRNA genes, and 19 tRNA genes. Repeat analysis identified 112 microsatellite repeats and 3 long-tandem repeats. Phylogenetic analysis using the 26 shared PCGs resulted in a tree that was congruent with the phylogeny of Lamiales species in the APG IV system. The analysis of mitochondrial plastid DNA (MTPT) identified 16 MTPTs in the mitogenome. Moreover, the analysis of nucleotide substitution rates in Lamiales showed that the genes atp4, ccmB, ccmFc, and mttB might have been positively selected. The results lay the foundation for future studies on the evolution of the Salvia mitogenome and the molecular breeding of S. miltiorrhiza

The joint effects of lifestyle factors and comorbidities history on colorectal cancer risk.

<p>Error bars indicate the 95%CI.</p

The Joint Effects of Lifestyle Factors and Comorbidities on the Risk of Colorectal Cancer: A Large Chinese Retrospective Case-Control Study

<div><p>Background</p><p>Colorectal cancer (CRC) is a major cause of cancer morbidity and mortality. In previous epidemiologic studies, the respective correlation between lifestyle factors and comorbidity and CRC has been extensively studied. However, little is known about their joint effects on CRC.</p><p>Methods</p><p>We conducted a retrospective case-control study of 1,144 diagnosed CRC patients and 60,549 community controls. A structured questionnaire was administered to the participants about their socio-demographic factors, anthropometric measures, comorbidity history and lifestyle factors. Logistic regression model was used to calculate the odds ratio (ORs) and 95% confidence intervals (95%CIs) for each factor. According to the results from logistic regression model, we further developed healthy lifestyle index (HLI) and comorbidity history index (CHI) to investigate their independent and joint effects on CRC risk.</p><p>Results</p><p>Four lifestyle factors (including physical activities, sleep, red meat and vegetable consumption) and four types of comorbidity (including diabetes, hyperlipidemia, history of inflammatory bowel disease and polyps) were found to be independently associated with the risk of CRC in multivariant logistic regression model. Intriguingly, their combined pattern- HLI and CHI demonstrated significant correlation with CRC risk independently (OR_HLI: 3.91, 95%CI: 3.13–4.88; OR_CHI: 2.49, 95%CI: 2.11–2.93) and jointly (OR: 10.33, 95%CI: 6.59–16.18).</p><p>Conclusions</p><p>There are synergistic effects of lifestyle factors and comorbidity on the risk of colorectal cancer in the Chinese population.</p></div