maculans isolate silenced in cpcA. RJ quantified sirodesmin PL. BJH conceived the study, and drafted the manuscript. All authors read and approved the final manuscript.”
“Background Campylobacter jejuni is a human pathogen and the leading cause of acute bacterial gastroenteritis. As a commensal organism for many warm-blooded animals, especially in the gastrointestinal tract of poultry, C jejuni is also isolated from a wide variety of watery environmental sources [1, 2]. Thus, the ability of C. jejuni

to sense and respond to diverse environmental stimuli and to adapt gene expression ALK inhibitor to changes in external conditions is crucial for its pathogenesis, commensalism and survival outside the host organism. Recent experiments have revealed many changes in the C. jejuni transcriptome and proteome that are driven by environmental stimuli. These include CYC202 temperature, oxygen tension, iron concentration, sodium deoxycholate concentration and pH of the culture medium [3–7]. C. jejuni’s

phase of life – planktonic vs biofilm – also shows a great difference in the microorganism’s protein profile [8, 9]. Campylobacter gene expression is coupled to environmental cues mostly by two-component signal transduction systems (TCSTS) [10–14]. The activity and the amount of a specific protein can also be affected by posttranslational modifications such as glycosylation, proteolysis and disulfide bond formation. That latter protein modification, which very often influences the tertiary and quaternary structure of virulence determinants, plays an important role in bacterial pathogenesis [15, 16]. In Gram-negative bacteria disulfide bond formation is facilitated by the Dsb (disulfide bond) family of

redox proteins, which function in the periplasmic space under oxidizing conditions. In E. coli the disulfide bridge formation system operates in two partially coinciding metabolic pathways: the oxidation (DsbA and DsbB) pathway and the isomerization/reduction (DsbC and DsbD) pathway. The oxidation pathway is responsible for the formation of disulfide bonds in newly synthesized proteins, just after they cross the cytoplasmic membrane. This process occurs in a rather non-selective way. The isomerization/reduction pathway rearranges improperly MycoClean Mycoplasma Removal Kit introduced disulfides [15, 16]. The sequencing of more and more bacterial genomes has revealed that the process of disulfide bond formation in bacteria is extremely diverse, and it has become obvious that E. coli Dsb system cannot be considered a paradigm for Dsb activity [16, 17]. The Dsb oxidative pathway of C. jejuni is much more complex than the oxidative pathway of the laboratory E. coli K-12. Depending on the strain, it is catalyzed by three or four enzymes – two localized in the inner membrane (DsbB and DsbI) and one or two in the periplasm (DsbA1 and DsbA2).

8; lane 9-13 positive controls (TEM-3, TEM-6, TEM-9, TEM-10, SHV-2). Discussion The Barents Sea subpopulation of polar bears has little contact with human activities [10], and the samples investigated in this study were collected from the subpopulation in their natural environment in Svalbard, Norway. MI-503 mw Fresh faeces were collected from live, sedated bears and immediately frozen. There is a potential loss of bacteria when samples are stored before cultivation of bacteria. The pure faeces samples were stored at -70°C and the rectum swabs were stored in 20% glycerol at the same temperature. Achá

et al [31] found that there was not a great loss of bacterial number and species when pure faeces samples were stored at -70°C compared to faeces samples mixed with a cryoprotectant such as glycerol, as long as the samples were not repeatedly thawed and analysed in shorter intervals. The samples processed in this study were not repeatedly thawed and analysed and we expect little loss of bacterial

number and species compared to if the samples were mixed with glycerol before storing. The 16S rRNA gene libraries were made from DNA extracted from faeces, and the samples were pooled after PCR to ensure that bacterial DNA from all animals was equally represented. The number of PCR cycles were reduced to a minimum, as the frequency of formation of chimeric molecules increases by the number of PCR cycles Staurosporine mw [32]. We used 30 cycles for the amplification of the 16S rRNA genes, and did not detect possible chimeras using the Chimera Detection Program. Seventeen different phylotypes were identified among the 161 sequences analysed (Table 2). The coverage of the combined libraries was 97%, which indicate that we have detected the majority of the present Urocanase microbioma in the faeces. In a study based

on faecal microbial communities of 106 individual mammals representing 60 species from 13 taxonomic orders, including captive bears and pandas, Ley et al [33] observed that host diet and phylogeny both influence bacterial diversity, which increases from carnivorous to omnivorous to herbivorous animals. In captive carnivores between 19 and 75 OTUs were observed using the 96% similarity criteria, while in herbivore animals up to 223 OTUs were detected. Within members of the Ursidae family including carnivorous, herbivorous and omnivorous bears, the number of OTUs ranged from 14 to 34 which is consistent with our findings. Only four of the seventeen phylotypes were < 97% related to any known cultivated species (Table 2). This is in contrast to observations made in other studies that the microbial diversity reflected by cultivation represents only a minor fraction of the microbial diversity. In a study of the microbial diversity in reindeer, 92.5% of the bacterial diversity represented novel taxonomic groupings [7].

Enterobacteriaceae

(several different species) and obligate anaerobes were more frequently found in tissue than in brush samples (Figures 2 and 3; Additional files 4 and 5). Chlamydia, an obligately intracellular organism, comprised 0.95% of the reads assigned to the genus level this website in the tissue specimens, but was not found in the brush specimens (Additional file 5). Other differences generally reflect either a very small number of reads or reads from only 1-2 samples (Additional files). Statistical comparison of communities Figure 4 shows the Jaccard analysis of the clustered sequences from each tonsil community. The samples from Herd 1 and Herd 2 from the same year (Time 1, 2007) are clearly distinguishable. Samples from Herd 1 taken 2 years later (Time 2, 2009) group with samples taken in time 1 from Herd 1, but are distant from Herd 2. The Jaccard indices of the time 2 sampling from Herd 1 where community samples were derived from both tonsil tissue and brushed tonsils indicate high similarity find more between these two sampling methods. Some variability exists within the Herd 1 Time 2 samples, as indicated by Pigs K and J from the brush samples where substantial similarities exist with at least two pigs from Herd 2 (lower left of Panel A). Figure

4 Jaccard indices of pig tonsil communities. Indices are presented clustered and plotted in heat map format where light to dark indicates increasing similarity. Principle component analysis (PCA), using the first two factors (PC1 and PC2) was performed using communities from each pig click here sampled (Figure 5). Each point represents one tonsil community while the colored areas represent the 95% confidence limit of each group. Using the first two components explains 63% of the total variation among the individual samples. This demonstrated that the microbial communities were distinguishable from one another, but relatively close

in phylogenetic space as judged by the range of eigenvalues. Figure 5 Principle Component Analysis (PCA) results on all individuals sampled. PCA was performed at the level of OTUs, clustering sequences at a 3% difference. The PCA plot of tonsillar communities shows PCA analysis using the first two components, accounting for 62.75% of the sample variation. Each point represents the tonsillar community of one individual pig. Colored circles represent the 95% confidence limit for each group of samples. Discussion We have previously reported the first culture-independent analysis of the microbial communities of the tonsils of healthy pigs [14]. In the previous study, we analyzed 831 16S rRNA gene sequences from clone libraries constructed from samples from eight pigs from two healthy herds.

In addition, we determined whether or not osteocalcin is inversely associated with the development of type 2 diabetes mellitus (T2DM) after adjusting for other diabetes risk

factors and the plasma adiponectin level in humans. Methods Subjects We recruited study subjects from among those who attended the Kyung Hee University Hospital at Gangdong between December SCH727965 purchase 2006 and July 2009 for the diagnosis, evaluation, or treatment of diabetes. During this period, 1,785 subjects (942 males and 843 females) underwent a 75-g OGTT, and after acquiring informed consent, plasma samples were obtained and stored at −70 C for future studies involving cardiovascular disorders and diabetes. The exclusion criteria applied were as follows: (1) history of metabolic bone diseases, such as hyperparathyroidism; (2) uncontrolled liver or thyroid diseases; (3) acute illnesses, such as infection, surgery, and hospital admission for a medical condition other than diabetes; (4) recent history of a fracture (<6 months); and (5) medications known to affect bone or glucose metabolism, such as glucocorticoids

or bisphosphonates. In this study, diabetes mellitus was defined by the presence of one of the following: (1) fasting glucose levels at ≥126 mg/dl (≥7.0 mmol/l) or (2) 2-h post-load glucose levels at ≥200 mg/dl (≥11.1 mmol/l). To eliminate the effects of drugs on insulin secretion and sensitivity driven by OGTT, we limited our study subjects to those who had never been treated DAPT cost with oral glucose-lowering agents to eliminate the effects on glucose tolerance, and insulin secretion and sensitivity measured by OGTT.

Finally, 425 subjects, 19–82 years of age (mean age, 53.0 ± 12.0 years), were enrolled in this study. According to the OGTT Histamine H2 receptor results, subjects were diagnosed as follows: NGT (n = 23); pre-diabetes (n = 150), which included subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and both IFG and IGT; and diabetes (n = 252). The study was approved by the Ethics Committee and the Institutional Review Board of Kyung Hee University Hospital and complied with the Declaration of Helsinki. Biochemical measurements After an overnight fast (8~12 h), a 75-g OGTT was begun between 0800 and 0900 hours according to standardized clinical procedures. In brief, after a cannula was inserted in an antecubital vein for blood sampling, basal blood samples were drawn (0 min), then 75 g of glucose (Diasol®, dissolved in 300 ml of water) was consumed within 5 min. Plasma glucose and insulin levels were then determined 30, 60, 90, and 120 min after the glucose had been administered. In addition, the plasma C-peptide levels were measured at time 0 and 30 min.

In the case of the FCE result showing either a lower or a higher class than the IP judgment, the expectation was that the IP would lower or raise his score on the VAS for that CH5424802 cost activity during the second judgment, i.e. a shift of more than 1.2 cm. The judgment was noted as ‘corresponding’ in the cases of no discrepancy in classes between the first VAS score and FCE result, or when a lower FCE classification was followed by a lower classification by the IP on the second VAS score. Likewise, when the FCE classification was higher

and the IP followed this classification by a raised judgment on the second VAS score, this was noted as ‘corresponding’. Finally, we calculated the total numbers of corresponding outcomes. BVD-523 in vitro Hereby, we noted the numbers of corresponding outcomes in which the IP did not change his judgment, and the numbers

of corresponding outcomes in which the IP raised or lowered his judgment on the second VAS. In all these cases, the second VAS score of the IP was in line with the result of the FCE assessment. The other cases, in which the second VAS score of the IP was not in line with the FCE assessment, were noted as ‘not-corresponding’. For these ‘not-corresponding’ outcomes, also the direction of the difference between the expected second VAS score and the actual second VAS score was noted. By using this method, it was possible to compare a total number of 297 activities (27 IPs and 11 activities). The scoring and analysis were performed independently by the first two authors (HW and VG). Any disagreements that remained after discussion were resolved by consulting a third researcher. MycoClean Mycoplasma Removal Kit The statistical analyses were carried out using SPSS version 13. Results Insurance physicians Fifty-four IPs were willing to participate in the study and signed an informed consent form, response rate of 54%. The mean age ± standard deviation (SD) of the IPs was

47 ± 7 years, and 56% of the IPs were male. They had 15 ± 7 years of experience in work-ability assessments. Fifteen of the IPs were familiar with FCE assessments. From 27 IPs, claimants entered the study. From the other 27 IPs, no claimants were included. These two groups of IPs did not significantly differ from each other in age, gender, and work experience. Only the Chi-square test for familiarity with FCE of the IP and the participation of claimants from that IP in the study showed a significant difference, viz. that claimants from IPs who were, preceding the study, familiar with FCE participated more often than claimants from IPs who were not familiar with FCE. In the group of IPs from whom patients were included in the study, there was no difference in the mean number of changed judgments between the first and second assessment of the physical work ability between the IPs who were familiar with FCE and the IPs who were not familiar with FCE.

Standard curves for molecular beacon-based real-time PCR detection of targets invA, fliC and prot6E. The plots illustrate the relationship of known number of target DNA copies per reaction to the threshold cycle of detection (CT) for each this website molecular beacon reaction. The CT is directly proportional to the log of the input copy equivalents, as

demonstrated by the standard curves generated. Detection of S. enterica alleles in bacterial samples by molecular beacon-based uniplex real-time PCR The molecular beacon-based real-time PCR assay designed in this study was tested on environmental and food samples of S. Enteritidis

click here and S. Typhimurium (Table 1), as well as several commercially available bacterial strains (Table 2) and various Salmonella serovars obtained from a reference laboratory for Salmonella (Table 3). All samples were investigated first by uniplex assays to detect invA, prot6E and fliC (Table 4). In the reaction for detection of invA, all 44 Salmonella samples were positive and all 18 non-Salmonella samples were undetectable. Positive results (≤ 10 copies of DNA per reaction) had CT values ranging from 15 to 25. In the prot6E reaction, all 21 S. Enteritidis samples gave positive PCR results and all 41 non-Enteritidis samples were negative. Positive samples for the prot6E gene had CT values ranging between 15 and 18 with one exception, the commercially available specimen of S. Enteritidis (Table 3) for which fluorescence

detection significantly increased around cycle 30. Mannose-binding protein-associated serine protease Finally, in the fliC reaction, all 17 S. Typhimurium samples gave positive PCR results and all 45 non-Typhimurium samples were negative. Positive results had CT values ranging from 15 to 18 cycles. These results showed that the primers and beacons for each reaction work well individually and that they amplify and detect their target sequence with very high specifiCity and sensitivity. The CT values exhibited by the samples in these experiments, compared to the plot of the standards of known concentration, indicated that the extracted DNA from the bacterial samples was higher than the range of concentrations tested by the standards (>107 copies per reaction). Therefore 100-fold dilutions of all extracted DNA samples were prepared for use in the two-step duplex assay, so that the resulting CT values would fall within the range seen on the standard curves.

2B). When specimen preparation led to breaks in this structure,

the biofilm core was exposed (Fig. 2C) and consisted of small numbers of bacteria embedded AZD2014 in a matrix of fibers and particulate matter aggregating on the fibers (Fig. 2C). In other parts of the biofilm, the fibers were more apparent and formed irregular, net-like structures (Fig. 2D). At higher magnification it was possible to see that the fibers were organized into ordered networks of periodic nets. These nets contained few bacteria (Fig. 2E) and were covered by thin sheets of material similar to that observed around the bacteria embedded in the particulate matter (Fig. 2F). Figure 2 Scanning electron micrographs of P. fluorescens EvS4-B1 biofilms (14 days) prepared using cryomethods. (A). Fibrillary structures appeared to be made up of twisted fibers (arrow) scale bar = 1 μm. (B). Flat sheets of material (arrowhead) also were observed. Some of the sheets seemed to be wrapped around other structures (arrow); scale bar = 20 μm. (C) The inside core of the “”wrapped”" structures consisted of bacteria, [B], embedded in an extracellular matrix of particulate matter and a thin sheet of material

(arrow); scale bar = 1 μm. (D) The outer sheet (arrowheads) enveloped an inner core consisting of fibers forming irregular network-like structures (arrow); scale bar = 10 μm. (E) The Ku-0059436 chemical structure network consisted of fibers arranged in a periodic pattern. The bacteria (arrows) were two to three times larger than the spaces in the network; scale bar = 2 μm. (F) A sheet of material, [S], covered the fiber

network and was attached to it. The fibers were associated with bacteria, [B], and particulate matter, [P]; scale bar = 2 μm. The ultrastructures observed by SEM are not artifacts resulting from sample preparation The transmission electron Acetophenone microscopy (TEM) images of the embedded biofilms (Fig. 3) are consistent with the corresponding SEM data (Fig. 2) and therefore validate the ultrastructural organization observed in the SEM suggesting that they did not result from sample preparation. The honeycomb-like structures, as well as the morphology of the partitions, are clearly visible using both techniques. The structures appeared to have two types of walls. Either it was thin with a smooth surface, or it was thicker and made up of globular structures (Fig. 3D–F). The thicker walls, although smooth on the surface, were of variable thickness giving them a bumpy appearance (Fig. 3D–F). The section staining revealed separations between the components of the thicker walls and globular masses separated by thin sheets (Fig. 3E–F). No obvious freezing damage due to ice crystal formation was observed suggesting that the EM data presented here are of real ultrastructural features in the biofilms and are not the result of eutectic crystallization. Figure 3 Transmission electron microscopy images of P. fluorescens EvS4-B1 biofilms (21 days).

Biochim Biophys Acta 974:114–118PubMed Spalding MH, Critchley C, Govindjee, Ogren WL (1984) Influence of carbon dioxide concentration during growth on fluorescence induction characterestics of the green alga Chlamydomonas

reinhardtii. Photosynth Res 5:169–176 Stacy WT, Mar T, Swenberg CE, Govindjee (1971) An analysis of a triplet exciton model for the delayed light in Chlorella. Photochem Photobiol 14:197–219 Stemler A, Babcock GT, Govindjee (1974) The effect of bicarbonate on photosynthetic oxygen evolution in flashing light Belinostat in vitro in chloroplast fragments. Proc Natl Acad Sci USA 71:4679–4683PubMed Stirbet A, Govindjee (2011) On the relation between the Kautsky effect (chlorophyll a fluorescence induction) and Photosystem II: basics and applications of the OJIP transient. J Photochem Photobiol B 104:236–257PubMed Stirbet A, Govindjee (2012) Chlorophyll a fluorescence induction: a personal perspective of the thermal phase, the J-I-P rise.

Photosynth Res 113:15–61PubMed Stirbet A, Govindjee, Strasser BJ (1998) Chlorophyll a fluorescence induction in higher plants: modelling Selleckchem LDE225 and numerical simulation. J Theor Biol 193:131–151 Strasser RJ, Govindjee (1991) The Fo and the O-J-I-P fluorescence rise in higher plants and algae. In: Argyroudi-Akoyunoglou JH (ed) Regulation of chloroplast biogenesis. Plenum Press, New York, pp 423–426 Strasser RJ, Govindjee (1992) On the O-J-I-P fluorescence transient in leaves and D1 mutants of Chlamydomonas reinhardtii. Phosphoribosylglycinamide formyltransferase In: Murata N (ed) Research in photosynthesis, vol II. Kluwer Academic Publishers, Dordrecht, pp 29–32 Strasser RJ, Srivastava

A, Govindjee (1995) Polyphasic chlorophyll a fluorescence transient in plants and cyanobacteria. Photochem Photobiol 61:32–42 Strehler B, Arnold WA (1951) Light production by green plants. J Gen Physiol 34:809–820PubMed Tatake VG, Desai TS, Govindjee, Sane PV (1981) Energy storage states of photosynthetic membranes: activation energies and lifetimes of electrons in the trap states by thermoluminescence method. Photochem Photobiol 33:243–250 Umena Y, Kawakami K, Shen J-R, Kamiya N (2011) Crystal structure of oxygen-evolving Photosystem II at a resolution of 1.9 Å. Nature 473:55–60PubMed Vass I, Govindjee (1996) Thermoluminescence from the photosynthetic apparatus. Photosynth Res 48:117–126 Wang X, Cao J, Maroti P, Stilz HU, Finkele U, Lauterwasse C, Zinth W, Oesterhelt D, Govindjee, Wraight CA (1992) Is bicarbonate in Photosystem II the equivalent of the glutamate ligand to the iron atom in bacterial reaction centers? Biochim Biophys Acta 1100:1–8PubMed Wasielewski MR, Fenton JM, Govindjee (1987) The rate of formation of P700 [+]–Ao [−] in Photosystem I particles from spinach as measured by picosecond transient absorption spectroscopy.

Recently, insulin degludec (Novo Nordisk A/S, Bagsværd, Denmark), a soluble dihexamer preparation that forms stable and soluble multihexamers after subcutaneous injection, has been developed [4]. The multihexamers remain at the injection site for some time and gradually dissolve to release insulin monomers into the blood in a slow and sustained manner PI3K inhibitor [4]. Degludec has prolonged activity as it binds to albumin via fatty acid side chains both at the subcutaneous injection site and in the blood [4]. In 22 Japanese patients with T1DM who received subcutaneous administration of insulin degludec at 0.4 units

(U)/kg once daily for 6 days, the duration of action was reported to be over 26 h [5]. In our previous study, we showed that it was possible to achieve similar glycemic control by once-daily injection of a lower dose of insulin degludec in patients with T1DM who had been treated with insulin glargine or detemir twice

daily [6]. Another study reported that insulin degludec lessens day-to-day variability of blood glucose levels as compared with insulin glargine [7]. However, there is no report on the medium-term effects of insulin degludec on glucose fluctuation and nocturnal hypoglycemia in patients with T1DM. This is a follow-up of our previous study on insulin degludec Dabrafenib concentration [6]. The aim of this study was to analyze the medium-term effects of switching from insulin glargine or detemir to insulin degludec on daily blood glucose fluctuation, glycated hemoglobin (HbA1c), and total daily insulin dose (TDD). 2 Methods 2.1 Subjects In our previous study, ten patients were treated with twice-daily injection of insulin glargine or detemir. However, three patients refused to undergo continuous glucose monitoring (CGM) 24 weeks after switching for personal reasons. The subjects of this study were seven patients (three males and four females) with T1DM who had been treated with MDI therapy for over 12 months at the Division of Diabetes, Endocrinology,

and Metabolism, Department of Internal Medicine, Hyogo College of Medicine (Hyogo, Japan). else Inclusion criteria were treatment with insulin glargine or detemir as basal insulin therapy, HbA1c of ≥6.0 %, ad libitum serum C-peptide immunoreactivity (CPR) of <0.3 ng/mL, and severe impairment of endogenous insulin secretion. Exclusion criteria were severe hepatic and/or renal impairment, severe infection, perioperative status, severe trauma, pregnancy or desire to become pregnant, ischemic heart disease (current or past), cancer, and other criteria by which the leading physician judges the patient as unsuitable. The study subjects underwent CGM by wearing a portable monitor. This study was approved by the Ethics Committee of Hyogo College of Medicine (No. 1425) and was registered in the University Hospitals Medical Information Network registry (No. 000010893).

Case study of contrast-induced nephropathy using cardiac Selleck LBH589 catheterization. Jpn Circ J. 2001;65(Suppl III):750 (in Japanese) [IVb]. 74. Fujisaki K, Nakayama M, Yoshimitsu T, Doi T, Tanaka R, Yamada A,

et al. Incidence of contrast-induced nephropathy using cardiac catheterization: a case report. Jpn J Nephrol. 2002;44:315 (in Japanese) [IVb]. 75. Abe M, Kimura T, Morimoto T, Furukawa Y, Kita T. Incidence of and risk factors for contrast-induced nephropathy after cardiac catheterization in Japanese patients. Circ J. 2009;73:1518–22 [IVb].PubMedCrossRef 76. Laskey WK, Jenkins C, Selzer F, Marroquin OC, Wilensky RL, Glaser R, NHLBI Dynamic Registry Investigators, et al. Volume-to-creatinine clearance ratio: a pharmacokinetically based risk factor for prediction of early creatinine increase selleck inhibitor after percutaneous coronary intervention. J Am Coll Cardiol. 2007;50:584–90

[IVb].PubMedCrossRef 77. Gurm HS, Dixon SR, Smith DE, Share D, Lalonde T, Greenbaum A, BMC2 (Blue Cross Blue Shield of Michigan Cardiovascular Consortium) Registry, et al. Renal function-based contrast dosing to define safe limits of radiographic contrast media in patients undergoing percutaneous coronary interventions. J Am Coll Cardiol. 2011;58:907–14 [IVb].PubMedCrossRef 78. Chong E, Poh KK, Liang S, Soon CY, Tan HC. Comparison of risks and clinical predictors of contrast-induced nephropathy in patients undergoing emergency versus nonemergency percutaneous coronary interventions. J Interv Cardiol. 2010;23:451–9 [IVa].PubMedCrossRef 79. Machino-Ohtsuka T, Seo Y, Ishizu T, Sekiguchi Y, Sato A, Tada H, et al. Combined

assessment of carotid vulnerable plaque, renal insufficiency, eosinophilia, and hs-CRP for predicting risky aortic plaque of cholesterol crystal embolism. Circ J. 2010;74:51–8 [IVb].PubMedCrossRef 80. Fukumoto Y, Tsutsui H, Tsuchihashi M, Masumoto A, Takeshita A, Cholesterol Embolism Study (CHEST) Investigators. The incidence and risk factors of cholesterol embolization syndrome, a complication of cardiac catheterization: a prospective study. J Am Coll Cardiol. 2003;42:211–6 [IVb].PubMedCrossRef 81. Funabiki K, Masuoka H, Shimizu Cyclin-dependent kinase 3 H, Emi Y, Mori T, Ito M, et al. Cholesterol crystal embolization (CCE) after cardiac catheterization: a case report and a review of 36 cases in the Japanese literature. Jpn Heart J. 2003;44:767–74 [IVb].PubMedCrossRef 82. Modi KS, Rao VK. Atheroembolic renal disease. J Am Soc Nephrol. 2001;12:1781–7 [IVb].PubMed 83. Scolari F, Tardanico R, Zani R, Pola A, Viola BF, Movilli E, et al. Cholesterol crystal embolism: a recognizable cause of renal disease. Am J Kidney Dis. 2000;36:1089–109 [IVb].PubMed 84. Belenfant X, Meyrier A, Jacquot C. Supportive treatment improves survival in multivisceral cholesterol crystal embolism. Am J Kidney Dis. 1999;33:840–50 [IVb].PubMedCrossRef 85. Thadhani RI, Camargo CA Jr, Xavier RJ, Fang LS, Bazari H. Atheroembolic renal failure after invasive procedures.