Background: Periodontitis can induce systemic inflammation, and it may affect the testicles and male reproductive performance. This study investigated the effects of periodontitis on the testicles, reproductive performance, and offspring development in male rats.
Methods: Male Wistar rats were induced with periodontitis by ligating their first molars. After 14 days of inducing periodontal lesions, the animals were observed for an additional 54 days, corresponding to a complete cycle of spermatogenesis. Rats from the periodontitis group (GP, n = 12) and the control group (GC, n = 12) were paired with healthy females (n = 48) for 10 days, equivalent to 2 estrous cycles. Post-mating, the males underwent microtomographic, histological, and reproductive parameter assessments.
Results: Microtomographic analysis revealed higher porosity around the first molar in GP (26 ± 6%) and greater distance between the amelocemental junction and the alveolar bone (1.37 [1.12-1.90] mm), indicative of bone resorption. GP also exhibited significant decreases in final body weight, reduced Sertoli and Leydig cell counts, and lowered testosterone levels compared to GC. Significant morphological alterations in sperm tails were observed in GP compared to GC.
Conclusions: Periodontitis adversely affected reproductive performance, evoking, and offspring development in male rats. These findings highlight the systemic impacts of periodontal disease on male reproductive health in an animal model.
Plain language summary: Our study investigated how periodontitis can affect male reproductive health in rats and offspring development. We induced periodontitis in male rats and, after a full cycle of sperm production, these rats were mated with healthy females. We observed that the rats with periodontitis had worse reproductive performance compared to the control group without periodontitis. Additionally, the offspring of the rats with periodontitis showed signs of compromised intrauterine development and a higher incidence of congenital malformations. These results highlight that the inflammation caused by periodontitis can have adverse effects beyond the mouth, significantly impacting male reproductive health and offspring development. These findings suggest the need for further research into the clinical implications of periodontitis on reproductive health.
Background: The present study aimed to investigate changes in intranetwork functional connectivity (FC) and internetwork FC in middle-aged and elderly individuals with normal cognition (NC) and varying degrees of periodontitis to determine the effects of periodontitis on brain function.
Methods: Periodontal findings and resting-state functional magnetic resonance imaging data were acquired from 51 subjects with NC. Independent component analysis and correlation analysis were used for the statistical analysis of the data.
Results: Differences in intranetwork FC were observed among groups in the anterior default-mode network (aDMN), dorsal attention network and dorsal sensorimotor network (dSMN). Compared with the nonperiodontitis (NP) group or the mild-periodontitis group, the analysis of internetwork FC showed increased FC between the auditory network and the ventral attention network (VAN), between the aDMN and the salience network (SN), and between the SN and the VAN and decreased FC between the posterior default-mode network and the right frontoparietal network in the moderate-to-severe periodontitis group. Additionally, internetwork FC between the dSMN and the VAN was also increased in the moderate-to-severe periodontitis group compared to the NP group. The altered intra- and internetwork FC were significantly correlated with the periodontal clinical index.
Conclusion: Our results confirmed that periodontitis was associated with both intra- and internetwork FC changes even in NC. The present study indicates that periodontitis might be a potential risk factor for brain damage and provides a theoretical clue and a new treatment target for the early prevention of Alzheimer disease.
Plain language summary: Recent research has proposed that periodontitis is a potential risk factor for Alzheimer disease (AD). However, the relationship between periodontitis and the brain function of middle-aged and elderly individuals with normal cognition (NC) remains unclear. Analyzing the effect of periodontitis on brain function in the NC stage can provide clues to AD development and help achieve early prevention of dementia. The present study aimed to investigate changes in brain functional connectivity (FC) in NC with different severity of periodontitis to determine the effects of periodontitis on brain function. Both changed intranetwork FC and internetwork FC were found in the moderate-to-severe periodontitis group, and periodontitis was associated with brain network function impairment in NC. The present study indicates that periodontitis might be a potential risk factor for brain damage even in NC stage, and provides a theoretical clue and a new treatment target for the early prevention of AD.
Background: To evaluate the effects of artificial intelligence (AI)-assisted dental monitoring (DM) with and without health counseling on the treatment outcomes and oral health-related quality of life (OHRQoL) of patients with periodontitis.
Methods: Patients with periodontitis were randomly assigned to either an AI group (AI group, n = 28), an AI and health counseling group (AIHC group, n = 27), or a control group (n = 27). All patients underwent nonsurgical periodontal treatment. Patients in the AI and AIHC groups underwent additional AI-assisted DM and AI-assisted DM with oral health counseling, respectively, for 6 months. Data on OHRQoL and periodontal measures were collected at baseline and follow-ups.
Results: At 3 months of follow-up, the AI and AIHC groups exhibited a significantly greater reduction in probing pocket depth (mean diff: -0.5 and -0.7) and clinical attachment level (mean diff: -0.5 and -0.6) compared with the control group. At 6 months of follow-up, the AI and AIHC groups exhibited a significantly greater improvement in OHRQoL (mean diff: -4.5 and -4.7) compared with the control group. At 3-month follow-up, the AIHC group exhibited a greater improvement in plaque index (mean diff: -0.2) and OHRQoL (mean diff: -4.3) compared with the AI group.
Conclusion: AI-assisted DM can be used to remind patients with periodontitis of their oral hygiene at home and effectively improve their periodontal measures and long-term OHRQoL.
Plain language summary: Gum disease is a common problem, but new technology could help. In this study, researchers looked at how AI affects gum health and quality of life (QoL). The researchers divided participants into 3 groups. One group used an AI system to monitor their gums at home. Another used AI plus got health advice. The third did not use any special technology. After 3 and 6 months, the AI groups had healthier gums, with less deep pockets and better gum attachment, compared to the group without AI. The group that also got health advice saw even greater improvements, like cleaner teeth and a bigger boost to their QoL. This is exciting because gum disease is tricky to manage alone. The AI system seems to help by reminding people to care for their teeth and gums. With expert guidance, the AI becomes an even more powerful tool for improving long-term oral health and well-being. This study shows how new technologies like AI could transform how we approach common health problems. By providing personalized support, AI can empower people to better manage their own health, leading to better outcomes.