Biomarkers for intestinal failure in short bowel syndrome: A new era in GI rehabilitation? / Biomarcadores para la insuficiencia intestinal en síndrome de intestino corto: ¿Una nueva era en la rehabilitación gastrointestinal?

Damage control and gastrointestinal surgery have come a long way from the first reported case of an enterocutaneous fistula to advances in Intestinal transplant and vacuum assisted therapy. Everything we have known in between such as intestinal resections, enteral/parenteral nutrition, delayed abdominal wall closure and intestinal reconstruction have all lead to an exponential increase in our knowledge of gastrointestinal surgery. One area that still remains a significant challenge and clinical dilemma to the general surgeon is intestinal failure in short bowel syndrome. Not only does the anatomical complexity of short bowel syndrome offer difficulties in the definite reconstruction, but also the accompanying intestinal failure increases patient morbidity and mortality. There are no current algorithms or systematic approaches to these daunting clinical scenarios and although surgery has come a long way, there is still room for determining optimal approaches. Therefore, it is critical to keep researching new ways to treat these patients. A relatively new horizon in managing intestinal failure in short bowel syndrome is the use of biomarkers. Here we present a short review on the possible future treatment. The aim of this paper is to provide a pathway for future research into the treatment of this complex area of general surgery

La cirugía gastrointestinal y de control de daños ha tenido un recorrido amplio desde el primer caso reportado de fístula entero-cutánea, hasta llegar al uso de presión subatmosférica para el cierre asistido y el trasplante intestinal. Todos los avances propuestos en el intermedio, como las resecciones intestinales, los planes de nutrición entérica y parenteral, el cierre postergado de la pared abdominal y la reconstrucción intestinal, han llevado a un aumento exponencial del conocimiento de la cirugía gastrointestinal. A pesar de esto, hay un área que permanece como un reto significativo y un dilema clínico para el cirujano general: la falla intestinal en el síndrome de intestino corto. En esta, su complejidad anatómica presenta dificultades a la hora de su reconstrucción, y su alteración funcional aumenta la morbimortalidad del paciente. Así como sucede en la mayoría de las fallas específicas de órganos, esta se caracteriza por cambios en los marcadores séricos que ya han sido bien descritos en la literatura médica. En la falla cardiaca hay elevación del péptido natriurético auricular; en la falla renal, elevación de la creatinina sérica; en la falla hepática, elevación de las transaminasas, y así sucesivamente. Estos marcadores no solo indican la gravedad de la situación, sino que se relacionan con la suficiencia del órgano en cuanto a su función y su mejoría con la rehabilitación. Ahora, ¿cuáles son los marcadores del sistema gastrointestinal? Recientemente, la seriedad de la falla intestinal y su solución han sido objeto de la observación clínica y sintomática con el fin de determinar la orientación de la rehabilitación intestinal y el momento ideal para el inicio de la vía oral. En los últimos años han surgido biomarcadores pertinentes al estudio del sistema digestivo. En esta revisión se discuten los aspectos relacionados con el presente y el futuro de los marcadores serológicos intestinales en el síndrome de intestino corto

Variabilidade interensaios de dislipidemias em pacientes hipertensos / Inter-assays variability of dislipidemias in hypertensive patients

INTRODUÇÃO E OBJETIVOS: Ensaios de diferentes procedências para avaliação das dislipidemia podem resultar em variações significativas nos resultados obtidos e consequente conduta inadequada pelo clínico. O estudo objetivou comparar resultados laboratoriais de colesterol total (CT), triglicérides (TG), colesterol da lipoproteína de alta densidade (HDL-C), colesterol da lipoproteína de baixa densidade (LDL-C), apolipoproteína A-1 (Apo A-1), apolipoproteína B (Apo B) e lipoproteína (a) (Lp[a]) e índices lipídicos (não-HDL-C, CT/HDL-C, LDL-C/HDL-C, TG/HDL-C e Apo B/HDL-C) de pacientes hipertensos e/ou diabéticos diagnosticados. MÉTODOS: Foram utilizados conjuntos reativos, e os respectivos analisadores Gold Analisa, Dia Sys (CCX - Abbott), Dade Behring (Nefelômetro BN 100) e Roche (COBAS Integra 400), para verificar a reprodutibilidade dos resultados obtidos. Participaram 99 pacientes (36 do sexo masculino e 63 do feminino). Comparando os resultados, verificamos que: todas as médias obtidas dos constituintes lipídicos apresentaram diferença significativa; número semelhante de pacientes apresentou níveis séricos elevados de CT, TG, Lp(a) e Apo A-1. O HDL-C, o LDL-C e a Apo B apresentaram discordância, assim como os índices de CT/LDL-C, LDL-C/HDL-C e TG/HDL-C. Para não-HDL-C e ApoB/HDL, houve semelhança no número de pacientes com valores não recomendados. Em consequência da diferença, em relação ao LDL-C, a decisão da conduta terapêutica poderá ser inadequada, enquanto o não-HDL-C, além de evidenciar partículas aterogênicas, apresentou número de hipertensos com valores séricos não referendados semelhantes, independente da metodologia e do equipamento utilizado. CONCLUSÃO: No grupo de hipertensos analisados, o não-HDL-C se caracterizou um importante fator de correção interensaios de parâmetros lipídicos. E sua associação à relação Apo B/HDL-C pode ser um fator adicional em relação às condutas hipolipemiantes a serem adotadas.

INTRODUCTION AND OBJECTIVES: Different assays to evaluate dyslipidemia may show significant variations in the obtained results and a consequent inappropriate clinical approach may be adopted. This study aimed to compare the results of total cholesterol (CT), triglycerides (TG), HDL-C, Apo A1, Apo B, lipoprotein (a) and lipidic indexes (not-HDL-C, CT/HDL-C, LDL-C/HDL-C, TG/HDL-C and Apo B/HDL-C) of hypertensive and/or diabetic patients. METHODS: The following reactive kits and respective analyzers were applied to verify the reproducibility of results: Gold Analisa, DiaSys (CCX-ABBOTT), Dade Behring (Nephelometer BN 100) and Roche (COBAS Integra 400). Ninety nine patients (36 male and 63 female gender) were investigated. Comparing the results, we observed that all mean numbers of lipid constituents showed a significant difference. A similar number of patients had high CT, TG, Lp (a) and Apo A-1 serum levels. There was also disagreement in HDL-C, LDL-C, ApoB, CT/LDL-C, LDL-C/HDL-C and TG/HDL-C indexes. For not-HDL-C and ApoB/HDL, there was similarity in the number of patients with not recommended values. As a consequence of this difference, the choice of therapeutic approach may be inappropriate as to LDL-C levels, whereas Not-HDL-C not only showed atherogenic particles but also a number of hypertensive patients with similar not recommended serum values, regardless of the methodology and the equipment used. CONCLUSION: In the analyzed group of hypertensive patients, not-HDL-C was an important inter assay correction factor of lipidic parameters. The association with Apo B/HDL-C relation may be an additional factor as to the choice of hypolipemiant treatments.

Characterization of the genetic elements controlling lipoprotein(a) concentrations in Mexican Americans. Evidence for at least three controlling elements linked to LPA, the locus encoding apolipoprotein(a).

Analyses of 1163 samples from the San Antonio Family Heart Study revealed several elements of genetic control of lipoprotein(a) (Lp(a)) concentrations in Mexican Americans. Apolipoprotein(a) (apo(a)) isoform size variation was inversely related to Lp(a) concentrations and explained about 22% of total phenotypic variation. Segregation analyses suggested the existence of a major gene that influenced an additional 41% of total Lp(a) variation. A G-->A polymorphism in the LPA promoter was in strong disequilibrium with apo(a) isoform size, but did not contribute a significant amount of additional information about Lp(a) variation. However, about 25% of variation in Lp(a) concentrations was influenced by additive polygenic effects, which include the effects of null phenotype alleles. Altogether, these genetic components explained 89% of Lp(a) variation, similar to heritability estimates made in several other studies. Apo(a) size variation and the major gene (explaining a total of about 62% of Lp(a) variation) were linked to each other and, as expected, to the plasminogen locus. Thus, together with the well-established null phenotype allele, these different genetic factors represent at least three distinct elements of control exerted at the LPA locus, which encodes the apo(a) protein.

Effects of NIDDM on lipoprotein(a) concentration and apolipoprotein(a) size.

We investigated the effects of non-insulin-dependent diabetes mellitus (NIDDM) on lipoprotein(a) (Lp[a]) and apolipoprotein(a) (apo[a]) in a population of Mexican-Americans. In plasma samples from 536 subjects, we measured Lp(a) concentrations, and we estimated apo(a) isoform sizes following immunostaining of plasma proteins resolved using sodium dodecyl sulfate electrophoresis. We identified 81 diabetic subjects who had 108 distinct apo(a) isoform bands. We then identified 81 nondiabetic subjects from the remainder who were closely matched for apo(a) phenotype (i.e., number and size of apo(a) isoform bands). As expected, the diabetic group had higher levels of glucose and insulin (both fasted and 2 h after glucose challenge) and triglycerides, and lower levels of high-density lipoprotein (HDL) cholesterol when compared with the matching nondiabetic group. Moreover, the diabetic group also had significantly lower Lp(a) concentrations than the nondiabetic subjects (10.6 vs. 13.6 mg/dl, P = 0.045) using a paired Student's t test. To detect the effects of diabetes on apo(a) size, we identified by pedigree analysis the nondiabetic family members who possessed alleles identical to those in the diabetic group. When we compared the average sizes for each allele, we found that apo(a) isoforms averaged 4.1 kDa larger in diabetic subjects than the genetically identical apo(a) measured in nondiabetic subjects (P = 0.044, n = 36 alleles). In summary, we have detected significant effects of NIDDM both on Lp(a) concentrations and on apo(a) size.