SARS-CoV-2 diagnosis in saliva samples: Usefulness and limitations.

Saliva samples are important for diagnosis, because they are noninvasive and easy to acquire. The objective of this cross-sectional study was to investigate the value saliva samples have in detecting SARS-CoV-2 in comparison to nasal swabs and a new system named CovidCheck. A standard methodology identified the virus in 185 nasopharyngeal swabs and saliva samples revealing a sensitivity, specificity and positive and negative predictive values of 82,100,100 and 94.67%, respectively for saliva samples. Viral presence in saliva samples with the standard methodology in comparison to the CovidCheck system was evaluated in 67 samples with sensitivity, specificity and positive and negative predictive values of 68, 81, 68 and 81%, respectively. In conclusion, our results highlight the usefulness saliva samples have in detecting respiratory viral infections. However, presence of viral inhibitors and viral load in saliva, and the patient's clinical status should be considered as they might affect amplifying systems results.

Cell surface markers for mesenchymal stem cells related to the skeletal system: A scoping review.

Multipotent mesenchymal stromal cells (MSCs) have been described as bone marrow stromal cells, which can form cartilage, bone or hematopoietic supportive stroma. In 2006, the International Society for Cell Therapy (ISCT) established a set of minimal characteristics to define MSCs. According to their criteria, these cells must express CD73, CD90 and CD105 surface markers; however, it is now known they do not represent true stemness epitopes. The objective of the present work was to determine the surface markers for human MSCs associated with skeletal tissue reported in the literature (1994-2021). To this end, we performed a scoping review for hMSCs in axial and appendicular skeleton. Our findings determined the most widely used markers were CD105 (82.9%), CD90 (75.0%) and CD73 (52.0%) for studies performed in vitro as proposed by the ISCT, followed by CD44 (42.1%), CD166 (30.9%), CD29 (27.6%), STRO-1 (17.7%), CD146 (15.1%) and CD271 (7.9%) in bone marrow and cartilage. On the other hand, only 4% of the articles evaluated in situ cell surface markers. Even though most studies use the ISCT criteria, most publications in adult tissues don't evaluate the characteristics that establish a stem cell (self-renewal and differentiation), which will be necessary to distinguish between a stem cell and progenitor populations. Collectively, MSCs require further understanding of their characteristics if they are intended for clinical use.

Effect of umbilical cord length on early fetal biomechanics.

The umbilical cord suspends the fetus within the amniotic cavity, where fetal dynamics is one of its many functions. Hence, the umbilical cord is a viable index in determining fetal activity. Fetal movements result in mechanical loads that are fundamental for fetal growth. At present, mechanical environment during early human fetal development is still largely unknown. To determine early fetal movement dynamics at given physiological (0.060 m) and pathological umbilical cord lengths (0.030 m, 0.020 m, 0.017 m and 0.014 m) a 2D computational model was created to simulate dynamic movement conditions. Main findings of this computational model revealed the shortest umbilical cord length (0.014 m) with a 6(10-6)N, twitch force amplitude had a two-fold increase on linear velocity (0.12 m/s) in comparison with other lengths (0.05m/s). Moreover, umbilical cord length effect presented an increasing exponential tension on the fetus body wall from longest to shortest, from 0 N in the control length to 0.05 N for the shortest umbilical cord. Last, tension was always present over a period of time for the shortest cord (0.03 N to 0.08 N). Collectively, for all variables evaluated the shortest umbilical cord (0.014 m) presented remarkable differences with other lengths in particular with the second shortest umbilical cord (0.017 m), suggesting a 0.003 m difference represents a greater biomechanical effect. In conclusion, this computational model brings new insights required by clinicians, where the magnitude of these loads could be associated with different pathologies found in the clinic.

Más allá de las moléculas Lo que los clínicos desconocen: acortando brechas / Filling the gap: Beyond molecules What clinicians ignore

Para acortar la brecha entre lo molecular y la clínica, el personal de atención médica debe tener un conocimiento básico de los mecanismos moleculares que gobiernan la identidad celular, mediante la activación selectiva de genes. La expresión diferencial de genes permite a las células sintetizar las proteínas requeridas para cumplir con sus funciones biológicas, y ello posibilita a las células responder a estímulos internos y externos. Para esto se debe tener primero acceso a los genes que codifican las proteínas, determinando el fenotipo celular. Modificaciones en la estructura de la cromatina permiten a la maquinaria transcripcional tener acceso a secuencias de ADN. El ADN es transcripto en ARNm, que sufre diversas modificaciones antes de salir del núcleo para ser traducido en una proteína en el citoplasma. Cualquier desregulación en alguno de los procesos asociados se presenta como una patología. A inicios del siglo XXI se reportó la secuenciación del genoma humano, y sorprendentemente uno de los principales hallazgos fue que solo un 2% de la secuencia codifica para proteínas, lo cual dejó un interrogante sobre cómo funcionan y se regulan los procesos genéticos que llevan a la identidad celular. Desde entonces las investigaciones han permitido utilizar los principios que rigen estos procesos para ampliar el conocimiento de los mecanismos asociados a enfermedades. Gracias a estos avances, se ha buscado determinar aplicaciones clínicas dirigidas a los procesos involucrados en la expresión génica diferencial, lograr una mejor comprensión sobre los procesos patológicos de la enfermedad y desarrollar herramientas diagnósticas.

To narrow the gap between the bench and the clinic, healthcare personnel should have a basic understanding of molecular mechanisms ruling cell identity, since it establishes the key differences between health and disease states. Differential gene expression allows for protein synthesis required for the cell's biological function. In this process genes are selected from the entire genome to meet the cell's biological functioning and respond to internal and external stimuli. To this end, first the chromatin must be remodeled for the transcriptional machinery to gain access to DNA sequences coding for particular genes. DNA can then be transcribed into mRNA, followed by different processes leading to mature mRNA leaving the nucleus for protein synthesis in the cytoplasm. Any dysregulation in these processes results in disease. In the beginning of this millennium the human genome project sequenced the whole genome. Surprisingly, one of the main findings was only 2% of the genome represented protein coding sequences, which raised the question about the remainder of the genome and cell identity. Based on principles derived from the human genome project many investigations have shed light on mechanisms associated with disease. Thanks to advancements in differential gene expression, researchers are seeking for a better understanding in pathological processes associated with disease and the development of diagnostic tools.