The Digital Pharmacies Era: How 3D Printing Technology Using Fused Deposition Modeling Can Become a Reality

The pharmaceutical industry is set to join the fourth industrial revolution with the 3D printing of medicines. The application of 3D printers in compounding pharmacies will turn them into digital pharmacies, wrapping up the telemedicine care cycle and definitively modifying the pharmacotherapeutic treatment of patients. Fused deposition modeling 3D printing technology melts extruded drug-loaded filaments into any dosage form; and allows the obtainment of flexible dosages with different shapes, multiple active pharmaceutical ingredients and modulated drug release kinetics—in other words, offering customized medicine. This work aimed to present an update on this technology, discussing its challenges. The co-participation of the pharmaceutical industry and compounding pharmacies seems to be the best way to turn this technology into reality. The pharmaceutical industry can produce drug-loaded filaments on a large scale with the necessary quality and safety guarantees; while digital pharmacies can transform the filaments into personalized medicine according to specific prescriptions. For this to occur, adaptations in commercial 3D printers will need to meet health requirements for drug products preparation, and it will be necessary to make advances in regulatory gaps and discussions on patent protection. Thus, despite the conservatism of the sector, 3D drug printing has the potential to become the biggest technological leap ever seen in the pharmaceutical segment, and according to the most optimistic prognostics, it will soon be within reach

The emergence of Omicron VOC and its rapid spread and persistence in the Western Amazon.

Genomic surveillance represents a strategy to understanding the evolutionary mechanisms, transmission, and infectivity of different SARS-CoV-2 variants. We evaluated 603 individuals positive for SARS-CoV-2 from 34 municipalities of Rondônia between December 2021 to December 2022. Nasopharyngeal samples were collected, RNA was extracted and screened using RT-qPCR for VOCs. RNA of the samples were sequenced and further analyzed for phylogeny, mutations, and lineages, totaling 96.19% of samples positive for Omicron VOC in this cohort. We observed that most individuals had at least two doses, however 18.97% were not vaccinated with any dose. 554 sequences were amenable to analysis for alignment and phylogenetic characterization; this group corresponded to the 27 subvariants of the Omicron VOC; a total of 100 mutations were identified, 48% of which were found in the S gene. In conclusion, the data demonstrated the rapid spread and persistence of Omicron VOC in Rondônia during the 12-month study period. Although high frequency of mutations was found in the analyzed samples, there were no individuals with a severe clinical profile, demonstrating that vaccination had a positive effect in those cases

Distribuição da anemia em pré-escolares do semi-árido da Bahia Distribution of anemia among preschool children from the semi-arid region of Bahia

O objetivo desta investigação foi identificar a prevalência da anemia e alguns de seus potenciais determinantes em 754 crianças de áreas urbanas de sete municípios na região do semi-árido baiano. Hemoglobina foi determinada em 745 crianças de um a 72 meses de idade. Para o grupo etário de seis a 72 meses um valor de hemoglobina < 11,0 g/dl identifica a anemia segundo recomendação da OMS enquanto o valor <9,5 g/dl classifica a anemia na categoria de grave. Estes mesmos pontos de corte foram adotados para os menores de seis meses, os quais são aceitos pela Hematologia Clínica. Detectou-se um valor médio de 12,1 g/dl para a hemoglobina, distribuída diferentemente entre as idades (p=0,001), assim como prevalências de 22,2% para a anemia e de 5,8% para as formas graves. A prevalência da anemia variou significativamente com a idade (p=0, 001), sendo mais elevada em crianças de 12 a 23 meses de idade (50, 0%), seguida pelos menores de 12 meses de vida (29,9%). A análise para associação da anemia segundo a escolaridade materna (controlada pela idade da criança) e renda familiar per capita não mostrou significância estatística.<br>The objective of this survey was to determine the prevalence of anemia and potential determinants thereof in 754 children from urban areas of seven small towns in the semi-arid region of Bahia. Hemoglobin was measured in 745 children 1 to 72 months of age. For the 6-to-72 month-old group, hemoglobin < 11.0 g/dl was considered anemia (following WHO recommendations) whereas <9.5 g/dl was considered severe anemia. The same cutoffs were used for children under 6 months, which are the same ones used in clinical-hematology. A mean hemoglobin of 12.1 g/dl was found, distributed differently according to age groups (p=0.001). The study found prevalences of 22.2 % for anemia and 5.8% for severe anemia, respectively. Occurrence of anemia varied significantly with age (p=0.001); the highest prevalence was 50.0% in children 12 to 23 months of age, followed by 29.9% in children below 12 months. The association of anemia with mother's education (controlled for age) and per capita family income was not statistically significant

Viral load measured by the number of days after onset of symptoms.

Viral load measured by the number of days after onset of symptoms.</p

RT-qPCR primers and probe for the Delta VOC.

Genomic surveillance represents a strategy to understanding the evolutionary mechanisms, transmission, and infectivity of different SARS-CoV-2 variants. We evaluated 603 individuals positive for SARS-CoV-2 from 34 municipalities of Rondônia between December 2021 to December 2022. Nasopharyngeal samples were collected, RNA was extracted and screened using RT-qPCR for VOCs. RNA of the samples were sequenced and further analyzed for phylogeny, mutations, and lineages, totaling 96.19% of samples positive for Omicron VOC in this cohort. We observed that most individuals had at least two doses, however 18.97% were not vaccinated with any dose. 554 sequences were amenable to analysis for alignment and phylogenetic characterization; this group corresponded to the 27 subvariants of the Omicron VOC; a total of 100 mutations were identified, 48% of which were found in the S gene. In conclusion, the data demonstrated the rapid spread and persistence of Omicron VOC in Rondônia during the 12-month study period. Although high frequency of mutations was found in the analyzed samples, there were no individuals with a severe clinical profile, demonstrating that vaccination had a positive effect in those cases.</div

Maximum likelihood phylogenetic tree presenting 554 sequences obtained in this study and 363 genomes retrieved from GISAID.

The samples are indicated as blue circles. The tree was rooted with the most ancestral sequence (EPI_ISL_402123).</p

SARS-CoV-2 genomes.

All genome sequences and associated metadata in this dataset are published in GISAID’s EpiCoV database. To view the contributors of each individual sequence with details such as accession number, Virus name, Collection date, Originating Lab and Submitting Lab and the list of Authors, visit 10.55876/gis8.230107pn. (PDF)</p

Dot plot demonstrating the frequency of mutations identified in the set of 554 samples analyzed by NGS.

The labels of mutations with frequencies <2% have been hidden.</p