The relationship between tomographic sagittal root position of maxillary anterior teeth and the bone housing.

STATEMENT OF PROBLEM: In a prosthetically driven treatment plan, the tomographic sagittal root position in relation to the bone housing is an important factor in the decision-making process for immediate implant placement. However, other important parameters must be considered in the bone housing of each tooth, including the alveolar ridge dimensions, the buccal and the palatal bone thickness, and the root dimensions. PURPOSE: The purpose of this clinical study was to evaluate the relationship between the sagittal root position of maxillary anterior teeth and the bone housing. MATERIALS AND METHODS: A total of 420 maxillary anterior teeth were analyzed in 70 participants. The tomographic scans were classified as sagittal root position classes I, II, III, and IV. Measurements included buccal and palatal bone thickness, alveolar ridge height, alveolar ridge width, apical bone height, root length, and root width. The Pearson correlation, ANOVA, and Tukey post hoc tests were used to determine statistically significant differences (α=0.05). RESULTS: The sagittal root position distribution was 65.2%, 9.3%, 0.7%, and 24.8% for classes I, II, III, and IV, respectively. Bone housing measurements were significantly different in relation to the 4 sagittal root position classes (P<.05), except for alveolar ridge height. Post hoc analysis showed that, in class I, buccal bone thickness and alveolar bone height were significantly low, whereas root length and palatal bone thickness were high. The higher buccal bone thickness was found in class II, and lower alveolar ridge width and palatal bone thickness in class IV. These measurements in tooth groups were also significantly different over the sagittal root position classes (P<.05). The buccal bone thickness, palatal bone thickness, and alveolar ridge width presented different levels of correlation with alveolar ridge width over the sagittal root position classes. The buccal bone thickness and palatal bone thickness were weakly correlated in class I (r=0.163) and IV (r=0.222). CONCLUSIONS: Bone housing measurements were significantly different in relation to the sagittal root position of maxillary anterior teeth.

Relationship between anterior maxillary tooth sagittal root position and periodontal phenotype: a clinical and tomographic study.

OBJECTIVES: To evaluate the relationship between the tomographic sagittal root position (SRP) of maxillary anterior teeth and periodontal phenotype (PP). MATERIAL AND METHODS: Seventy volunteers (420 teeth) were evaluated. Clinical and photographic exams included the evaluation of gingival phenotype (GP) by transparency of the periodontal probe, keratinized tissue width (KTW), gingival architecture, tooth shape, and papilla height (PH). Soft tissue tomographic scan (ST-CBCT) measurements included the SRP classification, GP, gingival thickness in the tissue zone (GT-TZ) and in the bone zone (GT-BZ), buccal bone thickness (BBT), and the distances from the gingival margin and from cementoenamel junction to the buccal bone crest (GM-BBC and CEJ-BBC). Kruskal-Wallis test and a linear regression analysis model were used. RESULTS: The frequency of SRP over the 420 teeth was 65.2% (class I), 9.3% (class II), 0.7% (class III), and 24.8% (class IV). Linear regression analysis showed that SRP is related to PP (p < 0.05). Significantly different measurements of PP parameters were found in SRP classes. The higher and lower GT and BBT were found in classes II and I, respectively. Class IV presented the highest KTW, PH, CEJ-BBC, and GM-BBC. Central incisors (CI) classes I and II were most frequently square-shaped, while 89% of CI Class IV were triangular-shaped. CONCLUSION: The SRP of maxillary anterior teeth is related to periodontal phenotype. CLINICAL RELEVANCE: Clinical and ST-CBCT individual analysis of PP and SRP may be helpful for an esthetic and functional treatment plan based on soft and hard tissue thickness and tooth positioning.

Can nonlinear agrometeorological models estimate coffee foliation?

BACKGROUND: The loss of coffee leaves caused by the attack of pests and diseases significantly reduces its production and bean quality. Thus this study aimed to estimate foliation for regions with the highest production of arabica coffee in Brazil using nonlinear models as a function of climate. A 25-year historical series (1995-2019) of Coffea arabica foliation (%) data was obtained by the Procafé Foundation in cultivations with no phytosanitary treatment. The climate data were obtained on a daily scale by NASA/POWER platform with a temporal resolution of 33 years (1987-2019) and a spatial resolution of approximately 106 km, thus allowing the calculation of the reference evapotranspiration (PET). Foliation estimation models were adjusted through regression analysis using four-parameter sigmoidal logistic models. The analysis of the foliation trend of coffee plantations was carried out from degrees-day for 70 locations. RESULTS: The general model calibrated to estimate the arabica coffee foliation was accurate (mean absolute percentage error = 2.19%) and precise (R2 adj  = 0.99) and can be used to assist decision-making by coffee growers. The model had a sigmoidal trend of reduction, with parameters ymax  = 97.63%, ymin  = 9%, Xo  = 3517.41 DD, and p = 6.27%, showing that foliation could reach 0.009% if the necessary phytosanitary controls are not carried out. CONCLUSION: Locations with high air temperatures over the year had low arabica coffee foliation, as shown by the correlation of -0.94. Therefore, coffee foliation can be estimated using degree days with accuracy and precision through the air temperature. This represents great convenience because crop foliation can be obtained using only a thermometer. © 2021 Society of Chemical Industry.

Susceptibility to leprosy is associated with PARK2 and PACRG.

Leprosy is caused by Mycobacterium leprae and affects about 700,000 individuals each year. It has long been thought that leprosy has a strong genetic component, and recently we mapped a leprosy susceptibility locus to chromosome 6 region q25-q26 (ref. 3). Here we investigate this region further by using a systematic association scan of the chromosomal interval most likely to harbour this leprosy susceptibility locus. In 197 Vietnamese families we found a significant association between leprosy and 17 markers located in a block of approx. 80 kilobases overlapping the 5' regulatory region shared by the Parkinson's disease gene PARK2 and the co-regulated gene PACRG. Possession of as few as two of the 17 risk alleles was highly predictive of leprosy. This was confirmed in a sample of 975 unrelated leprosy cases and controls from Brazil in whom the same alleles were strongly associated with leprosy. Variants in the regulatory region shared by PARK2 and PACRG therefore act as common risk factors for leprosy.

Interleukin-10 promoter haplotypes are differently distributed in the Brazilian versus the Dutch population.

The frequency of five different single nucleotide polymorphisms of the promoter interleukin-10 (IL-10) gene (-3575, -2849, 2763, -1082, -819) was compared between two healthy populations, one originating from the Netherlands and one from Rio de Janeiro, Brazil. A total of 321 Caucasian Dutch individuals and 293 Brazilians, grouped as Afro-Brazilians and Euro-Brazilians, were genotyped using PCR-RFLP. The frequencies of the genotypes in the Brazilian population were different (P<0.05) from the frequencies in the Dutch population in all but one (-2763) genotype. The comparison of genotype frequencies between Afro- and Euro-Brazilians did not demonstrate any differences. The haplotype combination of the most-distant three polymorphisms showed strong linkage disequilibrium. All eight possible combinations were observed in Brazilians, but only seven in Dutch Caucasians. The haplotype frequencies were also significantly different between Brazilians when compared with Dutch and also between Euro-Brazilians and Dutch. No differences were observed in haplotype frequencies between Afro-Brazilians and Euro-Brazilians. The -3575T/-2849G/-2763C is more frequent, while the AAA haplotype was much less represented in the Brazilian than in the Dutch population. The haplotype TAC, which was described in African-Americans, was observed only in Brazilians, almost exclusively among those of European origin. The results corroborate the data indicating that the Brazilian population exhibits a genetic admixture of Africans, Europeans, and Amerindians, and the data may serve as a background for clinical and immunological studies involving the IL-10 locus.