Fractal representation of the immune B cell repertoire

Burgos, Javier de

doi:10.1016/0303-2647(95)01574-4

Cited by 23 publications

(22 citation statements)

References 17 publications

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“…Mathematical analyses have also shown that the distribution of M1 58-66specific TCR β regions in humans can be described in terms of fractals (Naumov et al 2003(Naumov et al , 2006. The reason for this is not clear, though influenza virus hemagglutinin-specific B cell repertoires based on immunoglobulin structural diversity can similarly be mathematically described in terms of fractals (Burgos 1996). All of these analyses imply a repertoire that is quite complex.…”

Section: The Complexity Of Virus-specific Tcr Repertoiresmentioning

confidence: 99%

The Privacy of T Cell Memory to Viruses

Welsh

Kim

Cornberg

et al. 2006

Current Topics in Microbiology and Immunology

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Section: The Complexity Of Virus-specific Tcr Repertoiresmentioning

confidence: 99%

The Privacy of T Cell Memory to Viruses

Welsh

Kim

Cornberg

et al. 2006

Current Topics in Microbiology and Immunology

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“…Estos atractores presentan una forma irregular, denominándose fractales, los cuales a su vez se pueden dividir en tres clases: abstractos (4,5), salvajes (5), y estadísticos (6,7). Para caracterizar la irregularidad de los atractores caóticos (8) generalmente se utiliza la dimensión fractal.…”

Section: Introductionunclassified

Predicciones de la entropía proporcional en la Dinámica Cardíaca

Rodríguez¹,

Prieto²,

Correa³

et al. 2015

Rev. Med.

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ResumenAntecedentes: A partir de la teoría de sistemas dinámicos se desarrolló una metodología que permite diferenciar dinámicas cardíacas normales, en distintos niveles de enfermedad y en evolución entre estos estados. Esto se hizo cuantificando en el espacio de fases, mediante la entropía y sus proporciones, la probabilidad de parejas ordenadas de frecuencias cardiacas. Objetivo: Aplicar clínicamente la metodología desarrollada a 400 dinámicas cardíacas para establecer su efectividad comparándola con el diagnóstico clínico convencional.REVISTA 23 (2): 60-70, 2015 Método: Se tomaron Holters de 400 individuos; 50 diagnosticados como normales y 350 con diferentes patologías. Para cada uno se construyó un atractor en el mapa de retardo y se evaluó, mediante la entropía y sus proporciones, la probabilidad de ocupación de pares ordenados de frecuencias cardíacas durante 18 horas. Se compararon las medidas obtenidas con los valores de normalidad y enfermedad establecidos previamente para obtener el diagnóstico de cada Holter. Las conclusiones del Holter y los antecedentes clínicos sólo fueron desenmascarados luego de haber aplicado la metodología físico-matemática para calcular sensibilidad, especificidad y coeficiente Kappa respecto al Gold-Estándar. Resultados: con las proporciones de la entropía de los atractores se diferenciaron dinámicas cardíacas agudas, crónicas, normales, y evolución normalidad-enfermedad. Se confirmó la aplicabilidad clínica de la metodología predictiva desarrollada para el Holter, que mostró una sensibilidad y especificidad del 100%. La concordancia entre el Gold-Estándar y el diagnóstico físico-matemático fue 1. Conclusiones: La aplicación de la metodología permitió establecer cuantitativamente estados de normalidad y enfermedad de la dinámica cardíaca, evidenciando una auto-organización del atractor dinámico geométrico que constituye un método de ayuda diagnóstica aplicable a la clínica. Palabras Clave: diagnóstico, enfermedades cardiovasculares, adulto, frecuencia cardíaca, dinámicas no Lineales. PREDICTIONS OF PROPORTIONAL ENTROPY IN CARDIAC DYNAMICS AbstractBased on dynamic systems theory, a methodology that allows to differentiate normal cardiac dynamics, different levels of abnormality and evolution between these states, was developed. This was done by quantifying the probability of ordered pairs of heart rates in the phase space, through entropy and its proportions. To apply in a clinical setting the developed methodology to 400 cardiac dynamics in order to establish its effectiveness by comparing it with the conventional diagnosis.Holters from 400 individuals were tested for a minimum of 18 hours; 50 with normal diagnosis and 350 with different pathologies. An attractor was built for each one of them in the delay map, and the occupation probability of ordered pairs of heart rates was evaluated through entropy and its proportions. Afterwards, results were compared with values of normality and disease previously established to obtain the diagnosis for each Holter. The findings of ...

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“…The immune repertoire is characterized by a complex and dynamic organization, a highly organized, dynamic and coherent structure to assist in the understanding of the generation and selection of immune TCRs. Thus, fully measuring the diversity of the T cell repertoire, which determines the flexibility and specificity in the cellular immune response, could provide new insights into the underlying disease process (Burgos, ; Liu et al, ). In 1996, Li, et al, investigated disease‐specific change in gamma‐delta T cell repertoire of pulmonary tuberculosis patients by flow cytometric analysis of blood and bronchoalveolar lavage gamma‐delta T cells (Li et al, ).…”

Section: Discussionmentioning

confidence: 99%

A comprehensive immune repertoire study for patients with pulmonary tuberculosis

et al. 2019

Molec Gen & Gen Med

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Background Tuberculosis (TB) is a major global health problem and has replaced HIV as the leading cause of death from a single infectious agent. Methods Here, we applied high throughput sequencing to study the immune repertoire of nine pulmonary tuberculosis patients and nine healthy control samples. Results Tuberculosis patients and healthy controls displayed significantly different high express clones and distinguishable sharing of CDR3 sequences. The TRBV and TRBJ gene usage showed higher expression clones in patients than in controls and we also found specific high express TRBV and TRBJ gene clones in different groups. In addition, six highly expressed TRBV/TRBJ combinations were detected in the CD4 group, 21 in the CD8 group and 32 in the tissue group. Conclusion In conclusion, we studied the patients with tuberculosis as well as healthy control individuals in order to understand the characteristics of immune repertoire. Sharing of CDR3 sequences and differential expression of genes was found among the patients with tuberculosis which could be used for the development of potential vaccine and targets treatment.

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Fractal representation of the immune B cell repertoire

Cited by 23 publications

References 17 publications

The Privacy of T Cell Memory to Viruses

The Privacy of T Cell Memory to Viruses

Predicciones de la entropía proporcional en la Dinámica Cardíaca

A comprehensive immune repertoire study for patients with pulmonary tuberculosis

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