Kidney Transplantation in Septuagenarians: 70 Is the New 60!
Ontology highlight
ABSTRACT:
SUBMITTER: Hebert SA
PROVIDER: S-EPMC6506756 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Publications
Kidney Transplantation in Septuagenarians: 70 Is the New 60!
Hebert Sean A SA Ibrahim Hassan N HN
Kidney international reports 20190323 5
Similar Datasets
Project description:[This corrects the article DOI: 10.1016/j.nmni.2018.03.005.].
| S-EPMC6249391 | biostudies-literature
Project description:In this study, we examined transcriptional profiles from 3 different microarray platforms, across 103 peripheral blood samples with and without acute rejection, to find a critical gene-set for the diagnosis of acute renal rejection that matched biopsy diagnosis, irrespective of patient demographics, clinical confounders, concomitant infection, immunosuppression usage or sample processing methods. We hypothesized that changes in peripheral blood expression profiles correlate with biopsy-proven rejection, and that these changes could be used as biomarkers for the diagnosis and prediction of acute rejection. This SuperSeries is composed of the SubSeries listed below. We performed cross-sectional microarray analysis of 103 matched peripheral blood samples collected at a single time point, timed with a biopsy where acute rejection was either confirmed as present (60 AR samples) or absent (62 STA samples). The samples were hybridized to one of 3 microarray platforms: Affymetrix (n=75 the 54K HG-U133_Plus2 Array), Agilent (n=26, 44K oligo Array) and cDNA array (n=21, ~30K cDNA). Of 103 samples, 14 were used on both Affy and Agilent arrays; 1 was used in cDNA and Agilent array and 2 were used across 3 array platforms. Microarray data generated from 3 array platforms were cross-compared, by mapping common and overlapping transcripts to Human Gene Organization (HUGO) gene names. Significant gene lists on each platform were identified using Significant Analysis of Microarray (SAM, ref) with a common significance threshold of a false discovery rate (FDR) of <10%.This set contains the data for samples hybridized to Affymetrix arrays. Refer to individual Series
2012-12-26 | E-GEOD-14067 | biostudies-arrayexpress
Project description:In this study, we examined transcriptional profiles from 3 different microarray platforms, across 103 peripheral blood samples with and without acute rejection, to find a critical gene-set for the diagnosis of acute renal rejection that matched biopsy diagnosis, irrespective of patient demographics, clinical confounders, concomitant infection, immunosuppression usage or sample processing methods. We hypothesized that changes in peripheral blood expression profiles correlate with biopsy-proven rejection, and that these changes could be used as biomarkers for the diagnosis and prediction of acute rejection. This SuperSeries is composed of the SubSeries listed below.
2012-12-26 | GSE14067 | GEO
Project description:Recent insights in allorecognition and graft rejection mechanisms revealed a more complex picture than originally considered, involving multiple pathways of both adaptive and innate immune response, supplied by efficient inflammatory synergies. Current pillars of transplant monitoring are serum creatinine, proteinuria, and drug blood levels, which are considered as traditional markers, due to consolidated experience, low cost, and widespread availability. The most diffuse immunological biomarkers are donor-specific antibodies, which are included in routine post-transplant monitoring in many centers, although with some reproducibility issues and interpretation difficulties. Confirmed abnormalities in these traditional biomarkers raise the suspicion for rejection and guide the indication for graft biopsy, which is still considered the gold standard for rejection monitoring. Rapidly evolving new "omic" technologies have led to the identification of several novel biomarkers, which may change the landscape of transplant monitoring should their potential be confirmed. Among them, urinary chemokines and measurement of cell-free DNA of donor origin are perhaps the most promising. However, at the moment, these approaches remain highly expensive and cost-prohibitive in most settings, with limited clinical applicability; approachable costs upon technology investments would speed their integration. In addition, transcriptomics, metabolomics, proteomics, and the study of blood and urinary extracellular vesicles have the potential for early identification of subclinical rejection with high sensitivity and specificity, good reproducibility, and for gaining predictive value in an affordable cost setting. In the near future, information derived from these new biomarkers is expected to integrate traditional tools in routine use, allowing identification of rejection prior to clinical manifestations and timely therapeutic intervention. This review will discuss traditional, novel, and invasive and non-invasive biomarkers, underlining their strengths, limitations, and present or future applications in children.
| S-EPMC10432336 | biostudies-literature
Project description:Novel water-soluble decacationically armed C(60) and C(70) decaiodide monoadducts, C(60)- and C(70)[>M(C(3)N(6)(+)C(3))(2)], were synthesized, characterized, and applied as photosensitizers and potential nano-PDT agents against pathogenic bacteria and cancer cells. A high number of cationic charges per fullerene cage and H-bonding moieties were designed for rapid binding to the anionic residues displayed on the outer parts of bacterial cell walls. In the presence of a high number of electron-donating iodide anions as parts of quaternary ammonium salts in the arm region, we found that C(70)[>M(C(3)N(6)(+)C(3))(2)] produced more HO(•) than C(60)[>M(C(3)N(6)(+)C(3))(2)], in addition to (1)O(2). This finding offers an explanation of the preferential killing of Gram-positive and Gram-negative bacteria by C(60)[>M(C(3)N(6)(+)C(3))(2)] and C(70)[>M(C(3)N(6)(+)C(3))(2)], respectively. The hypothesis is that (1)O(2) can diffuse more easily into porous cell walls of Gram-positive bacteria to reach sensitive sites, while the less permeable Gram-negative bacterial cell wall needs the more reactive HO(•) to cause real damage.
| S-EPMC3351079 | biostudies-literature
Project description:Supramolecular chemistry of carbon-based materials provides a variety of chemical structures with potential applications in materials science and biomedicine. Here, we explore the supramolecular complexation of fullerenes C60 and C70, highlighting the ability of molecular nanographene tweezers to capture these structures. The binding constant for the CNG-1⊃C70 complex was significantly higher than for CNG-1⊃C60, showing a clear selectivity for the more π-extended C70. DFT calculations confirmed these experimental results by showing that the interaction energy of C70 with CNG-1 is more than 5 kcal mol-1 higher than that of C60. Theoretical calculations predict that the dispersion interaction provides about 58-59% of the total interaction energy, followed by electrostatic attraction with 26% and orbital interactions, which contribute 15-16%. The racemic nanographene tweezers effectively recognize fullerene molecules and hold promise for future applications in chiral molecule recognition.
| S-EPMC11706225 | biostudies-literature
Project description:Background: Here we carried out a panoramic analysis of the expression and prognosis of HSP110, HSP90, HSP70, and HSP60 families in 33 types of cancer, with the aim of deepening the systematic understanding of heat shock proteins (HSPs) in cancer. Materials and Methods: Next-generation sequencing data of multiple tumors were downloaded from TCGA, CCLE and Oncomine databases. RStudio 3.6.1 was used to analyze HSP110, HSP90, HSP70 and HSP60 families based on their expression in 33 types of cancer. The validations in vivo (stomach adenocarcinoma and colon adenocarcinoma tissues) were performed by qRT-PCR. Results: HSPs were differentially expressed in different cancers. The results revealed mainly positive correlations among the expressions of HSPs in different cancers. Expressions of HSP family members were generally associated with poor prognosis in respiratory, digestive, urinary and reproductive system tumors and associated with good prognosis in cholangiocarcinoma, pheochromocytoma and paraganglioma. TCGA mutation analysis showed that HSP gene mutation rate in cancers was 0-23%. CCLE mutation analysis indicated that HSP gene mutation rate in 828 cell lines from 15 tumors was 0-17%. CNV analysis revealed that HSPs have different degrees of gene amplifications and deletions in cancers. Gene mutations of 15 HSPs influenced their protein expressions in different cancers. Copy number amplifications and deletions of 22 HSPs also impacted protein expression levels in pan-cancer. HSP gene mutation was generally a poor prognosis factor in cancers, except for uterine corpus endometrial carcinoma. CNVs in 14 HSPs showed varying influences on survival status in different cancers. HSPs may be involved in the activation and inhibition of multiple cancer-related pathways. HSP expressions were closely correlated with 22 immune cell infiltrations in different cancers. The qRT-PCR validation results in vivo showed that HSPA2 was down-regulated in stomach adenocarcinoma and colon adenocarcinoma; HSPA7 and HSPA1A also were down-regulated in colon adenocarcinoma. HSPA2-HSPA7 (r = 0.031, p = 0.009) and HSPA1A-HSPA7 (r = 0.516, p < 0.001) were positive correlation in colon adenocarcinoma. Conclusion: These analysis and validation results show that HSP families play an important role in the occurrence and development of various tumors and are potential tumor diagnostic and prognostic biomarkers as well as anti-cancer therapeutic targets.
| S-EPMC8546173 | biostudies-literature
Project description:In this study, we examined transcriptional profiles from 3 different microarray platforms, across 103 peripheral blood samples with and without acute rejection, to find a critical gene-set for the diagnosis of acute renal rejection that matched biopsy diagnosis, irrespective of patient demographics, clinical confounders, concomitant infection, immunosuppression usage or sample processing methods. We hypothesized that changes in peripheral blood expression profiles correlate with biopsy-proven rejection, and that these changes could be used as biomarkers for the diagnosis and prediction of acute rejection. Disease State: Acute Rejection (AR#sampleid) or Stable (S#sampleid) samples We performed cross-sectional microarray analysis of 103 matched peripheral blood samples collected at a single time point, timed with a biopsy where acute rejection was either confirmed as present (60 AR samples) or absent (62 STA samples). The samples were hybridized to one of 3 microarray platforms: Affymetrix (n=75 the 54K HG-U133_Plus2 Array), Agilent (n=26, 44K oligo Array) and cDNA array (n=21, ~30K cDNA). Of 103 samples, 14 were used on both Affy and Agilent arrays; 1 was used in cDNA and Agilent array and 2 were used across 3 array platforms. Microarray data generated from 3 array platforms were cross-compared, by mapping common and overlapping transcripts to Human Gene Organization (HUGO) gene names. Significant gene lists on each platform were identified using Significant Analysis of Microarray (SAM, ref) with a common significance threshold of a false discovery rate (FDR) of <10%. This set contains the data for samples hybridized to cDNA arrays.
2012-12-26 | E-GEOD-14357 | biostudies-arrayexpress
Project description:Background and Objectives: In December 2014, the Kidney Allocation System (KAS) was implemented to improve equity in access to transplantation, but preliminary studies in children show mixed results. Thus, we aimed to assess how the 2014 KAS policy change affected racial/ethnic disparities in pediatric kidney transplantation access and related outcomes. Design, setting, participants, and measurements: A retrospective cohort study of children <18 years of age active on the kidney transplant list from 2008 to 2019 using the Scientific Registry of Transplant Recipients. Log-logistic accelerated failure time models were used to determine time from first activation on the transplant list and time on dialysis to deceased-donor transplant, each with KAS era or race/ethnicity as the exposure of interest. We used logistic regression to assess odds of delayed graft function. Log-rank tests assessed time to graft loss within racial/ethnic groups across KAS eras. Results: All children experienced longer wait times from activation to transplantation post-KAS. In univariable analysis, Black or Hispanic children or other children of color experienced longer times from activation to transplant compared to White children in the both eras; this finding was largely attenuated after multivariable analysis (time ratio 1.16, (95% CI 1.01-1.32); 1.13 (1.00-1.28); 1.17 (0.96-1.41) post-KAS, respectively). Multivariable analysis also showed that racial/ethnic disparities in time from dialysis initiation to transplantation in the pre-KAS era was mitigated in the post-KAS era. There were no disparities in odds of delayed graft function. Black or Hispanic children experienced longer times with a functioning graft in the post-KAS era. Conclusions: No racial/ethnic disparities from activation to deceased donor transplantation were seen before or after implementation of KAS in multivariable analysis, while time on dialysis to transplantation and odds of short-term graft loss improved in equity after KAS, without compromising disparities in delayed graft function.
| S-EPMC8729489 | biostudies-literature