Microbial colonization patterns predict the outcomes of surgical treatment of intrabony defects

AIM: To explore the impact of bacterial load and microbial colonization patterns on the clinical outcomes of periodontal surgery at deep intrabony defects. MATERIALS AND METHODS: One hundred and twenty-two patients with advanced chronic periodontitis and at least one intrabony defect of >3 mm were recruited in 10 centres. Before recruitment, the infection control phase of periodontal therapy was completed. After surgical access and debridement, the regenerative material was applied in the test subjects, and omitted in the controls. At baseline and 1 year following the interventions, clinical attachment levels (CAL), pocket probing depths (PPD), recession (REC), full-mouth plaque scores and full-mouth bleeding scores were assessed. Microbial colonization of the defect-associated pocket was assessed using a DNA-DNA checkerboard analysis. RESULTS: Total bacterial load and counts of red complex bacteria were negatively associated with CAL gains 1 year following treatment. The probability of achieving above median CAL gains (>3 mm) was significantly decreased by higher total bacterial counts, higher red complex and T. forsythensis counts immediately before surgery. CONCLUSIONS: Presence of high bacterial load and specific periodontal pathogen complexes in deep periodontal pockets associated with intrabony defects had a significant negative impact on the 1 year outcome of surgical/regenerative treatment.

Immediate implant placement with transmucosal healing in areas of aesthetic priority. A multicentre randomized-controlled clinical trial I. Surgical outcomes

OBJECTIVES: To compare the clinical outcomes of standard, cylindrical, screw-shaped to novel tapered, transmucosal (Straumann Dental implants immediately placed into extraction sockets. Material and methods: In this randomized-controlled clinical trial, outcomes were evaluated over a 3-year observation period. This report deals with the need for bone augmentation, healing events, implant stability and patient-centred outcomes up to 3 months only. Nine centres contributed a total of 208 immediate implant placements. All surgical and post-surgical procedures and the evaluation parameters were discussed with representatives of all centres during a calibration meeting. Following careful luxation of the designated tooth, allocation of the devices was randomly performed by a central study registrar. The allocated SLA titanium implant was installed at the bottom or in the palatal wall of the extraction socket until primary stability was reached. If the extraction socket was >or=1 mm larger than the implant, guided bone regeneration was performed simultaneously (Bio Oss and BioGide. The flaps were then sutured. During non-submerged transmucosal healing, everything was done to prevent infection. At surgery, the need for augmentation and the degree of wound closure was verified. Implant stability was assessed clinically and by means of resonance frequency analysis (RFA) at surgery and after 3 months. Wound healing was evaluated after 1, 2, 6 and 12 weeks post-operatively. RESULTS: The demographic data did not show any differences between the patients receiving either standard cylindrical or tapered implants. All implants yielded uneventful healing with 15% wound dehiscences after 1 week. After 2 weeks, 93%, after 6 weeks 96%, and after 12 weeks 100% of the flaps were closed. Ninety percent of both implant designs required bone augmentation. Immediately after implantation, RFA values were 55.8 and 56.7 and at 3 months 59.4 and 61.1 for cylindrical and tapered implants, respectively. Patient-centred outcomes did not differ between the two implant designs. However, a clear preference of the surgeon's perception for the appropriateness of the novel-tapered implant was evident. CONCLUSIONS: This RCT has demonstrated that tapered or standard cylindrical implants yielded clinically equivalent short-term outcomes after immediate implant placement into the extraction socket.

Physical long-term health problems and mental comorbidity: evidence from Vietnam

OBJECTIVE: The mental health of children living in low-income countries remains a neglected research area despite the high burden of disease. This study is one of the first that examines the effects of long-term physical health problems on child mental health disorders in a low-income country and investigates whether this association is modified by the socio-economic status of the child's family. METHODS: Community-based cross-sectional survey of 975 eight-year-old children from 20 sites in Vietnam. Long-term physical health problems were measured by a caregiver report and included conditions such as anaemia, congenital malformation, physical disability and skin problems. Child mental disorders were assessed using the strengths and difficulties questionnaire (SDQ). Generalised estimating equations models were fitted to explore the association between long-term physical health problems and child mental disorders. RESULTS: Vietnamese children who suffer from long-term physical health problems have odds 2:1 times greater than children without long-term physical health problems of having a mental disorder (95% CI 1.2 to 3.6, p = 0.006). No significant interaction with socio-economic status was found. CONCLUSIONS: This study showed a high burden of mental disorders among physically ill children, re-enforcing the idea that there is "no health without mental health". While this association needs to be explored longitudinally, children with long-term health problems may be a visible group for targeted mental-health interventions.

Selecting control genes for RT-QPCR using public microarray data

BACKGROUND: Gene expression analysis has emerged as a major biological research area, with real-time quantitative reverse transcription PCR (RT-QPCR) being one of the most accurate and widely used techniques for expression profiling of selected genes. In order to obtain results that are comparable across assays, a stable normalization strategy is required. In general, the normalization of PCR measurements between different samples uses one to several control genes (e.g. housekeeping genes), from which a baseline reference level is constructed. Thus, the choice of the control genes is of utmost importance, yet there is not a generally accepted standard technique for screening a large number of candidates and identifying the best ones. RESULTS: We propose a novel approach for scoring and ranking candidate genes for their suitability as control genes. Our approach relies on publicly available microarray data and allows the combination of multiple data sets originating from different platforms and/or representing different pathologies. The use of microarray data allows the screening of tens of thousands of genes, producing very comprehensive lists of candidates. We also provide two lists of candidate control genes: one which is breast cancer-specific and one with more general applicability. Two genes from the breast cancer list which had not been previously used as control genes are identified and validated by RT-QPCR. Open source R functions are available at http://www.isrec.isb-sib.ch/~vpopovic/research/ CONCLUSION: We proposed a new method for identifying candidate control genes for RT-QPCR which was able to rank thousands of genes according to some predefined suitability criteria and we applied it to the case of breast cancer. We also empirically showed that translating the results from microarray to PCR platform was achievable.

Interview and translation strategies: coping with multilingual settings and data

Central Eastern Europe, the research area this paper is concerned with, is a region characterized by a high diversity of languages and cultures. It is, at the same time, an area where political, cultural and social conflicts have emerged over time, nowadays especially in border zones, where people of different ethnic, cultural or linguistic background live. In this context, it is important for us researchers to get balanced interview data, and consequently we very often have to conduct interviews in several different languages and within changing cultural contexts. In order to avoid "communication problems" or even conflictual (interview) situations, which might damage the outcome of the research, we are thus challenged to find appropriate communication strategies for any of these situations. This is especially difficult when we are confronted with language or culture-specific terminology or taboo expressions that carry political meaning(s). Once the interview data is collected and it comes to translating and analysing it, we face further challenges and new questions arise. First of all, we have to decide what a good translation strategy would be. Many words and phrases that exist in one language do not have an exact equivalent in another. Therefore we have to find a solution for translating these expressions and concepts in a way that their meanings do not get "lost by translation". In this paper I discuss and provide insights to these challenges by presenting and discussing numerous examples from the region in question. Specifically, I focus on the deconstruction of the meaning of geographical names and politically loaded expressions in order to show the sensitivities of language, the difficulties of research in multilingual settings and with multilingual data as well as the strategies or "ways out" of certain dilemmas.

Investigation on the evolution of an indoor robotic localization system based on wireless networks

This work addresses the evolution of an artificial neural network (ANN) to assist in the problem of indoor robotic localization. We investigate the design and building of an autonomous localization system based on information gathered from wireless networks (WN). The article focuses on the evolved ANN, which provides the position of a robot in a space, as in a Cartesian coordinate system, corroborating with the evolutionary robotic research area and showing its practical viability. The proposed system was tested in several experiments, evaluating not only the impact of different evolutionary computation parameters but also the role of the transfer functions on the evolution of the ANN. Results show that slight variations in the parameters lead to significant differences on the evolution process and, therefore, in the accuracy of the robot position.