[Colonic pseudotumoral involvement as an expression of severe plasminogen deficiency]. / Compromiso pseudotumoral colónico como expresión de déficit grave de plasminogéno.

Plasminogen deficiency is a very rare multisystem entity that affects different tissues of the economy through the deposition of fibrin-rich pseudomembrane and determines a heterogeneous and diverse clinical presentation. It is transmitted in an autosomal recessive manner by mutations of the PLG gene on chromosome 6 and can be divided into hypoplasminogenemia or type I and dysplasminogenemia or type II, the latter not related to clinical pathology. Severe plasminogen deficiency has a prevalence of 1.6 individuals per million inhabitants and although it can be diagnosed in adulthood, the most severe symptoms are observed in infants and children. The most common form of onset is the so-called woody conjunctivitis, characterized by fibrin membranes that are deposited on the eyelids since childhood, causing exophytic lesions that affect vision. It can also affect other mucous membranes such as the gingival, respiratory, oropharyngeal, digestive and genital mucosa, among others. We present a rare case of severe plasminogen deficiency with conjunctivitis and woody cervicitis who was admitted with clinical acute abdominal symptoms, associated with a tumor mass due to pseudomembranous deposition in the ascending colon that simulated inflammatory bowel disease and resolved spontaneously.

La deficiencia de plasminógeno es una entidad multisistémica, muy infrecuente, que afecta diferentes tejidos de la economía mediante el depósito de pseudo membranas ricas en fibrina y que determina una presentación clínica heterogénea y diversa. Se transmite en forma autosómica recesiva por mutaciones del gen PLG del cromosoma 6 y se puede dividir en hipoplasminogenemia o tipo I y displasminogenemia o tipo II, esta última no relacionada con patología clínica. El déficit grave de plasminógeno tiene una prevalencia de 1.6 individuos por millón de habitantes y si bien puede diagnosticarse en edad adulta, los síntomas más graves se observan en lactantes y niños. La forma de inicio más común es la denominada conjuntivitis leñosa, caracterizada por membranas de fibrina que se depositan en los parpados desde la infancia, provocando lesiones exofíticas que afectan la visión. También puede afectar otras mucosas como la gingival, respiratoria, orofaríngea, digestiva y genital entre otros. Presentamos un raro caso de deficiencia grave de plasminógeno con conjuntivitis y cervicitis leñosa que ingresó con un cuadro de abdomen agudo clínico, asociado a una masa tumoral por depósito de pseudomembranas en el colon ascendente que simuló una enfermedad inflamatoria intestinal y que se resolvió espontáneamente.

Compromiso pseudotumoral colónico como expresión de déficit grave de plasminogéno / Colonic pseudotumoral involvement as an expression of severe plasminogen deficiency

Resumen La deficiencia de plasminógeno es una entidad multisistémica, muy infrecuente, que afecta diferentes tejidos de la economía mediante el depósito de pseu do membranas ricas en fibrina y que determina una presentación clínica heterogénea y diversa. Se trans mite en forma autosómica recesiva por mutaciones del gen PLG del cromosoma 6 y se puede dividir en hipoplasminogenemia o tipo I y displasminogenemia o tipo II, esta última no relacionada con patología clínica. El déficit grave de plasminógeno tiene una prevalencia de 1.6 individuos por millón de habitan tes y si bien puede diagnosticarse en edad adulta, los síntomas más graves se observan en lactantes y ni ños. La forma de inicio más común es la denominada conjuntivitis leñosa, caracterizada por membranas de fibrina que se depositan en los parpados desde la infancia, provocando lesiones exofíticas que afectan la visión. También puede afectar otras mucosas como la gingival, respiratoria, orofaríngea, digestiva y genital entre otros. Presentamos un raro caso de deficiencia grave de plasminógeno con conjuntivitis y cervicitis leñosa que ingresó con un cuadro de abdomen agudo clínico, asociado a una masa tumoral por depósito de pseudomembranas en el colon ascendente que simu ló una enfermedad inflamatoria intestinal y que se resolvió espontáneamente.

Abstract Plasminogen deficiency is a very rare multisystem entity that affects different tissues of the economy through the de position of fibrin-rich pseudomembrane and determines a heterogeneous and diverse clinical presentation. It is trans mitted in an autosomal recessive manner by mutations of the PLG gene on chromosome 6 and can be divided into hypoplasminogenemia or type I and dysplasminogenemia or type II, the latter not related to clinical pathology. Severe plasminogen deficiency has a prevalence of 1.6 individuals per million inhabitants and although it can be diagnosed in adulthood, the most severe symptoms are observed in infants and children. The most common form of onset is the so-called woody conjunctivitis, characterized by fibrin membranes that are deposited on the eyelids since child hood, causing exophytic lesions that affect vision. It can also affect other mucous membranes such as the gingival, respiratory, oropharyngeal, digestive and genital mucosa, among others. We present a rare case of severe plasminogen deficiency with conjunctivitis and woody cervicitis who was admitted with clinical acute abdominal symptoms, associated with a tumor mass due to pseudomembranous deposition in the ascending colon that simulated inflam matory bowel disease and resolved spontaneously.

ElectroPredictor: An Application to Predict Mayr's Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms.

Electrophilicity (E) is one of the most important parameters to understand the reactivity of an organic molecule. Although the theoretical electrophilicity index (ω) has been associated with E in a small homologous series, the use of w to predict E in a structurally heterogeneous set of compounds is not a trivial task. In this study, a robust ensemble model is created using Mayr's database of reactivity parameters. A combination of topological and quantum mechanical descriptors and different machine learning algorithms are employed for the model's development. The predictability of the model is assessed using different statistical parameters, and its validation is examined, including a training/test partition, an applicability domain, and a y-scrambling test. The global ensemble model presents a Q5-fold2 of 0.909 and a Qext2 of 0.912, demonstrating an excellent predictability performance of E values and showing that w is not a good descriptor for the prediction of E, especially for the case of neutral compounds. ElectroPredictor, a noncommercial Python application (https://github.com/mmoreno1/ElectroPredictor), is developed to predict E. QM9, a well-known large dataset containing 133885 neutral molecules, is used to perform a virtual screening (94.0% coverage). Finally, the 10 most electrophilic molecules are analyzed as possible new Mayr's electrophiles, which have not yet been experimentally tested. This study confirms the necessity to build an ensemble model using nonlinear machine learning algorithms, topographic descriptors, and separating molecules into charged and neutral compounds to predict E with precision.