Skip to main content
International Journal of Health Sciences logoLink to International Journal of Health Sciences
. 2016 Oct;10(4):576–589.

Role of cytogenetic biomarkers in management of chronic kidney disease patients: A review

Zeba Khan 1, Manoj Pandey 2, Ravindra M Samartha 1,
PMCID: PMC5085353  PMID: 27833523

Abstract

Chronic kidney disease (CKD) is much more common than people recognize, and habitually goes undetected and undiagnosed until the disease is well advanced or when their kidney functions is down to 25% of normal function. Genetic and non-genetic factors contribute to cause CKD. Non-genetic factors include hypertension, High level of DNA damage due to the production of reactive oxygen species and nucleic acid oxidation has been reported in CKD patients. Main genetic factor which causes CKD is diabetic nephropathy. A three- to nine-fold greater risk of End Stage Renal Disease (ESRD) is observed in individuals with a family history of ESRD. This greater risk have led researchers to search for genes linked to diabetic and other forms of nephropathy for the management of CKD. Multicenter consortia are currently recruiting large numbers of multiplex diabetic families with index cases having nephropathy for linkage and association analyses using various cytogenetic techniques. In addition, large-scale screening studies are underway, with the goals of better defining the overall prevalence of chronic kidney disease, as well as educating the population about risk factors for nephropathy, including family history. Cytogenetic biomarkers play an imperative role for the linkage study using G banding and detection of genomic instability in CKD patients. Classical and molecular cytogenetic tools with cytogenetic biomarkers provide remarkable findings in CKD patients. The aim of the present review is to draw outline of classical and molecular cytogenetic findings in CKD patients and their possible role in management to reduce genomic instability in CKD patients.

Keywords: Biomarkers, CKD, Cytogenetics, DNA damage, FISH, Micronucleus frequency, Neoplasm

Introduction

Chronic kidney disease (CKD) is a developmental pathological manifestation in which kidney functions are lost over time. Hypertension, diabetes, cardiovascular ailment, thyroidism, malnutrition, hepatitis B and C infection and life style of an individual contribute to causes CKD (14). DNA damage via production of reactive oxygen species, nucleic acid oxidation, advanced glycation end products and inflammation leads to genomic instability in CKD patients. (57) End stage renal disease (ESRD) patients requires dialysis or renal transplantation and estimated about four to five fold increased risk of developing renal cancer in their native kidneys. (8, 9) CKD is serious public health problem and prevalence has reached epidemic proportions with 10–13% of the populations in Taiwan, (10) Iran, (11) Japan, (12) China, (13) Canada, India and the USA. (1415)

Cytogenetic analysis of peripheral blood lymphocytes has been accepted as the suitable assay for biological monitoring of the genetic damage induced in somatic cells (16). Due to genomic instability, increased levels of DNA damage have been reported in CKD patients; measured using different conventional and molecular cytogenetic biomarkers such as Karyotyping, G-banding, Micronucleus assay (MN), (17) COMET assay, (18) Sister chromatic exchange assay (SCE), (19) Cytokinesis-Blocked Micronucleus (CBMN) assay where as molecular cytogenetic techniques includes, Fluorescent in-situ hybridization (FISH) using DNA probes and protein markers, Comparative genomic hybridization (CGH), and spectral karyotyping (SKY) etc. (20, 21)

The present review provides an overview of conventional and molecular cytogenetic findings in CKD patients, reported case studies, detection of genomic instability using cytogenetic biomarkers, consequences of DNA damage and their possible management to reduce genomic instability in CKD patients.

Conventional cytogenetic studies in chronic kidney disease (CKD) patients

Karyotyping using G-banding is the primary and conventional cytogenetic technique for the detection of chromosomal abnormalities. Karyotype was first defined by Levitsky as the phenotypic appearance of the somatic chromosomes. (22) Chromosomal abnormalities in CKD patients are found to be congenital and heritable. 6q deletion has been identified by McNeal et al (23) in VATER association (vertebral defects, anal atresia, cardiac defects, tracheoesophageal fistula with atresia, renal defects, and radial upper limb dysplasia) patients. Sister chromatid exchange, structurally abnormal chromosomes, deletions, chromatid breaks, radial chromosomes have been reported in CKD patients using classical cytogenetics. (24, 25) Besseau-Ayasse et al (26) identified 22q11.2 microdeletion in 272 fetuses and reported 27 % deletion found to be heritable. Postnatal study revealed microdeletion would be a probable cause of kidney abnormalities, thymus impairment and facial dysmorphism.

Molecular cytogenetic findings in CKD patients

Classical cytogenetic technique is a gold standard diagnostic tool for the detection of chromosomal abnormalities but have some limitations. Classical cytogenetic technique fails to detect cryptic chromosomal anomalies. (27) With the advent of fluorescence in situ hybridization (FISH) using DNA and protein probe (Immuno-FISH), comparative genomic hybridization (CGH), CGH array, spectral karyotyping (SKY) technique, now it is possible to detect and decipher hidden numerical and structural changes in chromosomes. Molecular cytogenetic findings in CKD patients are shown in Table 3.

Table 3.

Molecular study conducted on CKD patients and their findings

Molecular Cytogenetic Techniques Study Group Interference References
CGH ESRD patients on dialysis with upper urinary tract urothelial carcinoma (UUT-UC) gains at 5p, 7, 19q, and losses at 4q, 9p, and 15q Wu et al90
CGH Autosomal dominant polycystic kidney disease patients Deletion were mostly detected on chromosomes 1, 9, 12, 16, 19, and 22 (maximum samples), DNA sequences loss on chromosomes 7, 12, and 13 (three samples) 5, 6, 10, and 14 (two cases) 1p36 (six cases) whereas gain of DNA sequences on chromosome 3 (six cases), chromosome 4 (five cases) and chromosome 2 (3 samples). Gogusev et al91
FISH Acquired cystic disease-associated renal tumors patients Gains of chromosomes 1, 2, 6 and 10 Cossu-Rocca et al92
Chronic kidney disease patient Missense mutations on the GNAS1 gene exons 1, 4, 10, 4 and reported this type of missence mutation would be new syndrome lies between sagliker syndrome, CKD and hereditary bone dystrophies. Yildiz et al93

Fluorescence in situ hybridization (FISH), FISH is a cytogenetic technique developed by biomedical researchers in the early 1980. (28) FISH works on the principle of DNA probe hybridization. Probes bind to that part of chromosome which shows a maximum degree of DNA sequence complementarity. It is used to detect genetic abnormalities such as characteristic gene fusions, aneuploidy, deletion, gene mapping for the identification of oncogenes, and loss of whole chromosome. It can also help in monitoring the progression of an aberration thus assist in diagnosis of a genetic disease or suggesting prognostic outcomes. (29)

Spectral karyotyping (SKY), Spectral karyotyping is based on the principle of FISH. It helps to diagnose a variety of diseases, because of its technique to paint each of the 24 human chromosomes with different colors. (30) In SKY, the color emission of chromosomes is determined by the combination of painting probes and fluorochromes. In this technique, new colors can be developed by extracting a pair of different fluorescent dyes. For example 31 types of colors can be generated by using five types of fluorescent dyes by implementing 2N-1 formula. (31)

Comparative Genomic Hybridization (CGH), CGH was first developed to survey DNA copy number variations across a whole genome. With CGH differentially labeled test and reference genomic DNAs are hybridized to normal metaphase chromosomes and fluorescence ratios along the length of chromosomes provide a cytogenetic representation of the relative DNA copy number variation. It is used to detect cryptic deletions and duplications. One limitation of CGH is its small resolution which is up to 10–20 MB only. (32)

Array comparative genomic hybridization (array CGH), Array CGH is an advance form of CGH technology that allows detection of micro-deletions and micro-duplications. In this genomic plasmids or cDNA clones are used for hybridization instead of metaphase chromosomes as in conventional CGH technique. In array CGH thousands of short sequences of DNA probes, arranged in a precise grid on a glass slide called a chip. Fluorescently labeled DNA from reference and patient samples are mixed together and applied to the chip. The fragments of DNA hybridize with their matching probes on the array. The chip is then scanned in a machine called a microarray. (33, 34)

Some molecular cytogenetic work has been done on CKD patients. Jimenez et al (35) reported stress-induced premature senescence (SIPS) immunocompetent cells in dialysis patients using Flow-FISH and concluded that stress-induced premature senescent cells are responsible for decrease in telomere length. 16p deletion has been reported in CKD patients using CGH technique. Afonso et al (36) indentified loss of 1p, 20q and 16p, gains of 5q, 6q, and 13q along with monosomy of chromosomes 19 and 22 in dialysis patients and kidney transplanted patients. Microdeletions within 16p11.2 has also been reported and suggested that this micro-deletion would be associated with renal and enteric development abnormalities. (37) Using genome-wide association studies (GWAS) Yamada et al (38) identified chromosome 3q28 which may be a susceptibility locus for CKD in Japanese individuals. Xia et al (39) identified trisomy of chromosomes 7 and 17 and loss of Y chromosome in Papillary renal cell carcinoma (PRCC) tissue using FISH technique.

Conventional cytogenetic biomarkers/techniques for the detection of genomic instability in CKD patients

High genomic stability probably due to buildup of uraemic toxins and other genotoxic endogenous substances are reported in CKD especially patients on dialysis therapy. Many studies have been conducted to explore the mechanism behind DNA damage in CKD patients. Oxidative stress via production of reactive oxygen species was found to be major cause of genomic instability in CKD patients. (4042) Table 1 shows the cytogenetic biomarkers and their findings with reference to CKD patients. To measure the DNA damage, following different cytogenetic biomarkers were used.

Table 1.

The cytogenetic finding in CKD and dialysis patients.

Cytogenetic biomarker Stage of disease/treatment being taken Findings References
Comet assay 206 pre-dialysis CKD patients and 209 CKD patients in hemodialysis No significant differences of DNA damage were observed between pre-hemodialysis (pre-HD) and hemodialysis (HD) patients. Corredor et al94
Comet assay and cytokinesis-block micronucleus assay 91 CKD patients including pre-dialysis (CKD patients; n = 23) and patients undergoing peritoneal dialysis (PD; n = 33) or haemodialysis (HD; n = 35) Micronucleus (MN) frequency was significantly higher in the CKD group when compared with the control. A significant increase in MN frequency was also seen in PD patients versus the control group. There was no statistically significant difference for the HD group versus the control group. Comet assay data showed a significant increase of tail DNA intensity in cells of patients with CKD with respect to the control group. PD patients also have a significant increase versus the control group. Again, there was no statistically significant difference for the HD group compared with the control group. Rangel-López et al95
MN assay Patient on hemodialysis and ESRD patients High MN frequency was observed in hemodialysis patient followed by ESRD patients Stopper et al96
Comet assay Blood samples of hemodialysis patients were collected in three intervals i.e. start of dialysis (T(0)), at the end of the treatment (T(end)) and 24 hours afterwards in the interdialytic day (T(inter)). COMET assay performed on CD34(+) cells showed a higher basal level of genomic damage in HD patients than in controls; it increased in a statistically significant manner after the hemodialysis session, while in the interdialytic period it came back to T(0) level. Buemi et al97
Comet assay Patient with CKD and long-term maintenance hemodialysis (MHD) maximum damage in patients who received MHD therapy longer than 10 years than CKD patients Stopper et al98
Comet assay Chronic renal failure patients and dialysis patients Dialysis patients show high DNA damage than chronic renal failure patients. Stoyanova et al99
Comet assay and MN frequency Patients received hemodialysis and hemofiltration therapy Patients who switched from hemodialysis to hemodiafiltration, a significant reduction in the comet assay but not in the micronucleus frequency was observed. Kobras et al100
Comet assay and MN assay 3 groups was included 1.standard hemodialysis (SHD),2 switch from SHD to hemodiafiltration, and 3: daily dialysis (DHD). Initiation of SHD did not induce significant changes of genomic damage whereas the change to hemodiafiltration improved the percentage of DNA in the tail as measured by comet assay. Genomic damage evaluated by MN frequency was significantly lower in a patient group treated by DHD as compared with a group treated by SHD. Schupp et al101
SCE HD patients on regular maintenance acetate-free bio-filtration (AFB) and samples were drawn 3 times: predialytic, postdialytic and interdialytic (24 hours after the end of the session). In AFB patients, the percentages of SCE was recorded 6 %. After AFB session the percentage of SCE was recorded 7.02 %. 24 hours letter a further increased was observed i.e. 9.82%. Expression of genomic damage increases gradually on AFB therapy followed by after AFB therapy. Pernice et al102
SCE and mitotic index Chronic renal failure patients high frequency of SCE and low percentage of mitotic index was found in CRF patients Lialiaris et al103
SCE and MN frequency Patients on hemodiafiltration SCE and MN frequency levels are significantly higher in patients on hemodiafiltration Buemi et al104

Micronuclei (MN) Frequency- Micronuclei are membrane covered condensed chromatid bodies which are formed during mitosis and an indicator of chromosome breakage due to misrepaired or unrepaired DNA abrasions. (43) Micronuclei are potential in vivo and in vitro marker of exogenous and endogenous DNA damage. Apart from Micronuclei, the other nuclear abnormalities like nuclear buds and nucleoplasmic bridges are biomarkers of genotoxicity and sign of chromosomal instability that are often seen in malignancies. For the evaluation of presence and extend of chromosomal damage in human population exposed to genotoxic compounds, micronuclei frequency is extensively used in cytogenetics as a biomarker. (44)

Comet Assay- The comet assay or single-cell gel electrophoresis is a sensitive technique used to measures breaks in DNA strand, alkali labile sites, and relaxed form of chromatin in individual cells. (45) In this assay, electrophoresis is done on agar embedded cells. Cells with damaged DNA migrate faster toward the pole than cells with whole and intact DNA material. DNA damage is measured through length of DNA tail or computer assistance.

Sister chromatid exchange (SCE) assay-Sister chromatid exchange is the exchange of genetic material between two identical sister chromatids. In SCE both DNA strands break followed by an exchange of whole DNA duplexes. SCE is the indicator of recombination repair, point mutation, gene amplification and cytotoxicity. In this assay lymphocytes are cultured with bromo-deoxy-uridine (BrdU) and further stained with Giemsa. Exchanged DNA stained light while normal DNA stain darks with giema stain in this assay and can be seen under microscope. (46)

Cytokinesis-Blocked Micronucleus (CBMN) assay, The cytokinesis-block micronucleus assay is used to measure DNA damage in human lymphocytes. This assay is same as MN frequency assay but in this assay cells are blocked in the binucleated stage using cytokinesis inhibitors. In the CBMN assay, nucleoplasmic bridges and nuclear bud are easily observed because cytokinesis is blocked with inhibitor agents. (47)

Genotoxicity and cytotoxicity in CKD patients using cytogenetic biomarkers has been reported by number of researcher. Patients on dialysis therapy are more prone to genomic instability. It is documented that patients on daily routine hemodialysis, hemodiafiltration and peritoneal dialysis have different level of DNA damage. Studies reported high MN frequency was found to be in hemodialysis and peritoneal dialysis patients (48, 49) but on the other hand Kobras et al (50) reported no significant change in the frequency of MN in patients who switched from hemodialysis to hemodiafiltration. High DNA damage using comet assay and high SCE frequency has been reported in chronic renal failure patients and patients on hemodiafiltration. (5153) Not only adults but children on dialysis had cytogenetic abnormalities. MN frequency was found to be high in children on hemodialysis therapy followed by peritoneal dialysis and kidney transplant. (54)

Case studies

Case studies reported unique finding in patients. Distinctive cytogenetic findings are documented in CKD patients. There is correlation between CKD and mental retardation. Case studies showed patients suffered from kidney impairment also had mental disability. (55) Other case studies findings are summarized in table 2.

Table 2.

Findings in CKD patients case reports

Cytogenetic Techniques Case study Interference References
G banding 66 year old Japanese man which was on hemodialysis and developed Acquired cystic disease (ACD)- associated renal cell carcinoma (RCC) 49, X, +X, −Y, +3, +7, +16 unusual karyotype Kuroda et al56
FISH, CGH using auto immune regulator full gene sequencing 12-year-old Saudi boy with chronic renal failure and other symptoms FISH results revealed telomeric deletion of chromosome 4q33 and CGH study using AIRE (auto immune regulator) full gene sequencing identified a homozygous mutation namely 845_846insC. Al-Owain et al57
FISH young man suffered from chronic renal failure because of urinary tract obstruction de novo terminal deletion of chromosome 10 del(10)(q26.1). Leonard et al.,58
Flow cytometry and karyotyping seven year old boy having membranous glomerulonephritis, cryptic cirrhosis and mild mental retardation diploid, triploid and tetraploid mosaicism Topaloglu et al59
G banding and FISH fetus with Meckel syndrome (characterized by enlarged kidneys with numerous fluid-filled cysts) CEP290/MKS4 (MIM611134) (12q21) nonsense mutation and 12q21 microdeletion revealed that this nonsense mutation and microdeletion was inherited from maternal and parental side and associated with characteristic renal cysts along with facial dysmorphism, impaired liver and brainstem anomalies47 Molin et al60
G banding 35 year old male with immunoglobulin G k-type Multiple myeloma and dialysis-dependent chronic glomerulonephritis 17p deletion Aoki et al61
G banding, FISH and CGH 21 year old Thai women having CKD stage 4 with elevated blood pressure and mental retardation. chromosome 20p inverted duplication deletion syndrome. Conventional cytogenetic study revealed the complex structural rearrangement of chromosome 20 [der (20) dup (20) (p11.2p13) del (20) (p13.pter)]. A FISH analysis, confirmed inverted duplication of p11.2–p13 and a deletion in the subtelomere region. Array comparative genomic hybridization detected a copy loss at 20p13 coexisting with a copy gain at 20p13-20p11.22. Trachoo et al62

Consequences of genomic instability in CKD patients in respect to cytogenetic findings

High incidence of cardiovascular disease and cancer has been reported in patients with ESRD. (63, 64) DNA damage, which can act synergistically with oxidative stress and inflammation, might be involved in the development of long-term complications like amyloidosis, atherosclerosis, and malignancy in CKD patients. (65) A high frequency of cancer comes into view among uremic patients. Low DNA repair ability, absence of activity of Glutathione S-transferase M1 (GST M1-belongs to family of GST protein and protect cellular DNA against oxidative damage), accumulation of SIP senescent cells and supplementation of high-glucose peritoneal dialysate may promote oxidative mitochondrial DNA damage are thought to be the causes for DNA damage and malignancy in uremic patients. (6669) High frequency of micronuclei, SCE and DNA tail has been reported in dialysis patients. (70) There is a difference in percentage of DNA damage has been noticed in dialysis patients. The different cytogenetic finding in CKD and dialysis patients reported by researchers and concluded that dialysis patients are at high risk of developing cancer due to high genomic instability. (71) Hemodialysis patients showed maximum DNA damage as compared to patients received hemodiafiltration therapy (Table-2).

MANAGEMENT OF CKD

Prevalence of CKD is increasing worldwide with the associated increase cost has profound public health and economic implications. (72) Not only the cancer is associated with CKD but cardiovascular ailments are also very prominent in patients with CKD because of the accumulation of toxins in kidney. (73) Recommendations from previous studies, such as improvement in the procedure of dialysis therapy, tailored medication regimes, inhibiting the advanced glycation end products by supplementation of antioxidants, vitamin C, oral supplementation of cysteine prodrug which reduces glutathione level in blood and vitamin E (α-tocopherol) might help in better management of CKD. (7477) Mode of action of each regime for management of CKD is different. Vitamin E inhibits the activation of interleukin -1β and release of monocytes O2 which are involves in the initiation of oxidation of lipid, platelet aggregation and adhesion of monocytes to the endothelium. These activities promote atherosclerotic plague in CKD patients. (78) Patients on hemodialysis supplemented with vitamin E reduce reactive oxygen species in plasma. This confirm with the use of 8-hydroxy 2′-deoxyguanosine test and comet assay. (79, 80) Production of ROS through upregulation of NADPH oxidase as a result of activation of Nuclear factor-κB (NF-κB) pathway is reported in CKD patients. AGEs and angiotensin II plays an important role for the activation of NF-κB pathway. By supplementing angiotensin-converting enzyme inhibitors or angiotensin II receptor antagonists, might help in reducing the effect of oxidative stress in CKD. (81) Stopper et al (82) conducted an experiment on tubular cells incubated with various DNA damaging advanced glycosylation end products (AGEs) and antioxidants and found antioxidant suppressed the toxic action of AGEs. Researchers also suggested that daily hemodialysis therapy can efficiently removes the glycation end products in the body and offer better control of the production of AGEs in ESRD. (83) For the better management of CKD not only medical supplements have been given to patients however hospitals and government also have a good contribution towards the betterment of CKD patients. Multicenter consortia are engaged in recruiting large numbers of multiplex diabetic families with index cases having nephropathy for linkage and association analyses using various cytogenetic techniques. In addition, large-scale screening studies are underway, with the goals of better defining the overall prevalence of chronic kidney disease, as well as educating the population about risk factors for nephropathy, including family history. (84)

Conventional versus Molecular cytogenetic techniques

Currently, it is estimated approximately 1 million classical cytogenetic and molecular cytogenetic analyses are performed for standard care of patients suffering from congenital malformations, mental diseases, cancers, reproductive problems and other diseases. (85) Human karyotype is generally studied by classical cytogenetic techniques. For G banding, one has to obtain metaphase chromosomes of mitotic cells. This leads to the unfeasibility of analyzing all the cell types, to moderate cell scoring, and to the extrapolation of cytogenetic data retrieved from a couple of tens of mitotic cells to the whole organism, suggesting that all the remaining cells possess these genomes. However, this is far from being the case inasmuch as chromosome abnormalities can occur in any cell along ontogeny. (86) Since somatic cells of eukaryotes are more likely to be in interphase, the solution of the problem concerning studying postmitotic cells and larger cell populations is interphase cytogenetics, which has become more or less applicable for specific biomedical tasks due to achievements in molecular cytogenetics (i.e. developments of fluorescence in situ hybridization -- FISH, and multicolor banding -- MCB). (87) Molecular cytogenetic techniques have been repeatedly proven effective in diagnostics and have been recognized as a valuable addition or even alternative to chromosomal banding. (8889)

Conclusion

Cytogenetic biomarkers/techniques play an important role for the detection of chromosomal abnormalities and genomic instability in CKD patients. Novel molecular cytogenetic techniques hastily provide new insights into kidney diseases, especially regarding their nosologic classification, diagnosis, mechanistic understanding, and development of new therapeutics. There is a lack of literature in the field of genetic mechanism behind the difference in level of DNA damage among patients on different dialysis therapy. For the betterment of health of CKD patient’s research should be done on molecular level. In conclusion, cytogenetic finding revealed CKD patients especially patient on dialysis have high degree of DNA damage which might be path towards progression of neoplasm in CKD patients.

References

  • 1.Ajzen H, Schor N. Nefrolo-strategy. Outpatient and inpatient medical guides. UNIFESP / Paulista School of Medicine Barueri Manole. 2002:179–180. [Google Scholar]
  • 2.Sarnak MJ, Levey AS, Anton C, et al. Kidney Disease as a Risk Factor for Development of Cardiovascular Disease. Circulation. 2003;108:2154–2169. doi: 10.1161/01.CIR.0000095676.90936.80. [DOI] [PubMed] [Google Scholar]
  • 3.Omran AR. The epidemiologic transition: a theory of the epidemiology of population change. Milbank Q. 2005;83:731–757. doi: 10.1111/j.1468-0009.2005.00398.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Mohamedali M, Maddika SR, Vyas A, et al. Thyroid Disorders and Chronic Kidney Disease. Int J Nephrol. 2014;2014:1–6. doi: 10.1155/2014/520281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Fragedaki E, Nebel M, Schupp N, et al. Genomic damage and circulating AGE levels in patients undergoing daily versus standard haemodialysis. Nephrol Dial Transplant. 2005;20:1936–1943. doi: 10.1093/ndt/gfh898. [DOI] [PubMed] [Google Scholar]
  • 6.Filiopoulos V, Hadjiyannakos D, Takouli L, et al. Inflammation and oxidative stress in end-stagerenal disease patients treated with hemodialysis or peritoneal dialysis. Int JArtif Organs. 2009;32:872–882. doi: 10.1177/039139880903201206. [DOI] [PubMed] [Google Scholar]
  • 7.Stoyanova E, Sandoval SB, Zuniga LA, et al. Oxidative DNA damage in chronic renal failure patients. Nephrol Dial Transplant. 2010;25:879–885. doi: 10.1093/ndt/gfp575. [DOI] [PubMed] [Google Scholar]
  • 8.Mandayam S, Shahinian VB. Are chronic dialysis patients at increased risk for cancer? J Nephrol. 2008;21:166–174. [PubMed] [Google Scholar]
  • 9.Paul Russo. End Stage and Chronic Kidney Disease: Associations with Renal Cancer. Front Oncol. 2012;2:28. doi: 10.3389/fonc.2012.00028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Wen CP, Cheng TY, Tsai MK, et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan. Lancet. 2008;371:2173–2182. doi: 10.1016/S0140-6736(08)60952-6. [DOI] [PubMed] [Google Scholar]
  • 11.Safarinejad MR. The epidemiology of adult chronic kidney disease in a population-based study in Iran: prevalence and associated risk factors. J Nephrol. 2009;22(1):99–108. [PubMed] [Google Scholar]
  • 12.Imai E, Horio M, Watanabe T, et al. Prevalence of chronic kidney disease in the Japanese general population. Clin Exp Nephrol. 2009;13:621–630. doi: 10.1007/s10157-009-0199-x. [DOI] [PubMed] [Google Scholar]
  • 13.Shan Y, Zhang Q, Liu Z, Hu X, Liu D. Prevalence and risk factors associated with chronic kidney disease in adults over 40 years: a population study from Central China. Nephrology. 2010;15:354–361. doi: 10.1111/j.1440-1797.2009.01249.x. [DOI] [PubMed] [Google Scholar]
  • 14.Hemmelgarn BR, Manns BJ, Lloyd A, et al. Relation between kidney function, proteinuria, and adverse outcomes. JAMA. 2010;303:423–429. doi: 10.1001/jama.2010.39. [DOI] [PubMed] [Google Scholar]
  • 15.Varma PP, Raman DK, Ramakrishnan TS, Singh P, Varma A. Prevalence of early stages of chronic kidney disease in apparently healthy central government employees in India. Nephrol Dial Transplant. 2010;25:3011–3017. doi: 10.1093/ndt/gfq131. [DOI] [PubMed] [Google Scholar]
  • 16.Fenech M. Biomarkers of genetic damage for cancer epidemiology. Toxicology. 2002;181:411–416. doi: 10.1016/s0300-483x(02)00480-8. [DOI] [PubMed] [Google Scholar]
  • 17.Fragedaki E, Nebel M, Schupp N, et al. Genomic damage and circulating AGE levels in patients undergoing daily versus standard haemodialysis. Nephrol Dial Transplant. 2005;20:1936–1943. doi: 10.1093/ndt/gfh898. [DOI] [PubMed] [Google Scholar]
  • 18.Stopper H, Boullay F, Heidland A, et al. Comet-assay analysis identifies genomic damage in lymphocytes of uremic patients. Am J Kidney Dis. 2001;38(2):296–301. doi: 10.1053/ajkd.2001.26094. [DOI] [PubMed] [Google Scholar]
  • 19.Cengiz K, Block AM, Hossfeld DK, et al. Sister chromatid exchange and chromosome abnormalities in uremic patients. Cancer Genet Cytogenet. 1988;36(1):55–67. doi: 10.1016/0165-4608(88)90075-1. [DOI] [PubMed] [Google Scholar]
  • 20.Afonso S, Santamaría I, Guinsburg ME, Gómez AO, Miranda JL, Jofré R, Menárguez J, Cannata-Andía J, Cigudosa JC. Chromosomal aberrations, the consequence of refractory hyperparathyroidism: its relationship with biochemical parameters. Kidney Int Suppl. 2003;(85):S32–8. doi: 10.1046/j.1523-1755.63.s85.9.x. [DOI] [PubMed] [Google Scholar]
  • 21.Trachoo O, Assanatham M, Jinawath N, Nongnuch A. Chromosome 20p inverted duplication deletion identified in a Thai female adult with mental retardation, obesity, chronic kidney disease and characteristic facial features. Eur J Med Genet. 2013;56(6):319–324. doi: 10.1016/j.ejmg.2013.03.011. [DOI] [PubMed] [Google Scholar]
  • 22.Levitsky GA. The material basis of heredity. State Publication Office of the Ukraine; Kiev: 1924. [in Russian] [Google Scholar]
  • 23.McNeal RM, Skoglund RR, Francke U. Congenital anomalies including the VATER association in a patient with del (6) q deletion. J Pediatr. 1977;91(6):957–960. doi: 10.1016/s0022-3476(77)80903-7. [DOI] [PubMed] [Google Scholar]
  • 24.Cengiz K, Block AM, Hossfeld DK, et al. Sister chromatid exchange and chromosome abnormalities in uremic patients. Cancer Genet Cytogenet. 1988;36(1):55–67. doi: 10.1016/0165-4608(88)90075-1. [DOI] [PubMed] [Google Scholar]
  • 25.Zhou W, Otto EA, Cluckey A, et al. FAN1 mutations cause karyomegalic interstitial nephritis, linking chronic kidney failure to defective DNA damage repair. Nat Genet. 2012;44:910–915. doi: 10.1038/ng.2347. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Besseau-Ayasse J, Violle-Poirsier C, Bazin A, et al. A French collaborative survey of 272 fetuses with 22q11.2 deletion: ultrasound findings, fetal autopsies and pregnancy outcomes. Prenat Diagn. 2014;34(5):424–430. doi: 10.1002/pd.4321. [DOI] [PubMed] [Google Scholar]
  • 27.Tonnies H. Modern molecular cytogenetic techniques in genetic diagnostics. TRENDS in Molecular Medicine. 2002;8:1–6. doi: 10.1016/s1471-4914(02)02335-3. [DOI] [PubMed] [Google Scholar]
  • 28.Langer-Safer PR, Levine M, Ward DC. Immunological method for mapping genes on Drosophila polytene chromosomes. Proc Natl Acad Sci USA. 1982;79(14):4381–4385. doi: 10.1073/pnas.79.14.4381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Bishop R. Applications of fluorescence in situ hybridization (FISH) in detecting genetic aberrations of medical significance. Bioscience Horizons. 2010;3(1):85–95. [Google Scholar]
  • 30.Schrock E, du Manoir S, Veldman T, et al. Multicolor spectral karyotyping of human chromosomes. Science. 1996;273:494–497. doi: 10.1126/science.273.5274.494. [DOI] [PubMed] [Google Scholar]
  • 31.Imataka G, Arisaka O. Chromosome Analysis Using Spectral Karyotyping (SKY) Cell Biochem Biophys J. 2012;62(1):13–17. doi: 10.1007/s12013-011-9285-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Weiss MM, Hermsen MMJA, Meijer GA, et al. Comparative genomic hybridization. Journal of clinical pathology: Mol pathol. 1999;52:243–251. doi: 10.1136/mp.52.5.243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Theisen A. Microarray-based comparative genomic hybridization (aCGH) Nature Education. 2008;1(1):45. [Google Scholar]
  • 34.Wan ST. Molecular cytogenetic: techniques, developments and applications. Journal of Hong Kong institute of medical laboratory sciences. 2010;12:1–2. [Google Scholar]
  • 35.Jimenez R, Carracedo J, Santamaría R, et al. Replicative senescence in patients with chronic kidney failure. Kidney Int Suppl. 2005;(99):S11–15. doi: 10.1111/j.1523-1755.2005.09903.x. [DOI] [PubMed] [Google Scholar]
  • 36.Afonso S, Santamaría I, Guinsburg ME, Gómez AO, Miranda JL, Jofré R, Menárguez J, Cannata-Andía J, Cigudosa JC. Chromosomal aberrations, the consequence of refractory hyperparathyroidism: its relationship with biochemical parameters. Kidney Int Suppl. 2003;(85):S32–8. doi: 10.1046/j.1523-1755.63.s85.9.x. [DOI] [PubMed] [Google Scholar]
  • 37.Sampson MG, Coughlin CR, Kaplan P, et al. Evidence for a recurrent microdeletion at chromosome 16p11.2 associated with congenital anomalies of the kidney and urinary tract (CAKUT) and Hirschsprung disease. Am J Med Genet A. 2010;152A(10):2618–2622. doi: 10.1002/ajmg.a.33628. [DOI] [PubMed] [Google Scholar]
  • 38.Yamada Y, Nishida T, Ichihara S, et al. Identification of chromosome 3q28 and ALPK1 as susceptibility loci for chronic kidney disease in Japanese individuals by a genome-wide association study. J Med Genet. 2013;50(6):410–418. doi: 10.1136/jmedgenet-2013-101518. [DOI] [PubMed] [Google Scholar]
  • 39.Xia QY, Rao Q, Shen Q, et al. Oncocytic papillary renal cell carcinoma: a clinicopathological study emphasizing distinct morphology, extended immunohistochemical profile and cytogenetic features. Int J Clin Exp Pathol. 2013;6(7):1392–1399. [PMC free article] [PubMed] [Google Scholar]
  • 40.Tepel M, Echelmeyer M, Orie NN, Zidek W. Increased intracellular reactive oxygen species in patients with end-stage renal failure: effect of hemodialysis. Kidney Int. 2000;58(2):867–872. doi: 10.1046/j.1523-1755.2000.00236.x. [DOI] [PubMed] [Google Scholar]
  • 41.Galle J. Oxidative stress in chronic renal failure. Nephrology Dialysis Transplantation. 2001;16(11):2135–2137. doi: 10.1093/ndt/16.11.2135. [DOI] [PubMed] [Google Scholar]
  • 42.Sung CC, Hsu YC, Chen CC, et al. Oxidative Stress and Nucleic Acid Oxidation in Patients with Chronic Kidney Disease. Oxidative Medicine and Cellular Longevity. 2013;2013:1–15. doi: 10.1155/2013/301982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Stopper H, Muller SO. Micronuclei as a biological endpoint for genotoxicity: a minireview. Toxicology In Vitro. 1997;11(5):661–667. doi: 10.1016/s0887-2333(97)00084-2. [DOI] [PubMed] [Google Scholar]
  • 44.Migliore L, Naccarati A, Coppedè F, Bergamaschi E, De Palma G, Voho A, Manini P, Järventaus H, Mutti A, Norppa H, Hirvonen A. Cytogenetic biomarkers, urinary metabolites and metabolic gene polymorphisms in workers exposed to styrene. Pharmacogenet Genomics. 2006;16(2):87–99. doi: 10.1097/01.fpc.0000182783.70006.44. [DOI] [PubMed] [Google Scholar]
  • 45.Collins AR. The comet assay for DNA damage and repair: principles, applications, and limitations. Mol Biotechnol. 2004 Mar;26(3):249–61. doi: 10.1385/MB:26:3:249. [DOI] [PubMed] [Google Scholar]
  • 46.Simpson LJ, Sale JE. Sister chromatid exchange assay. Subcell Biochem. 2006;40:399–403. doi: 10.1007/978-1-4020-4896-8_34. [DOI] [PubMed] [Google Scholar]
  • 47.El-Zein R1, Vral A, Etzel CJ. Cytokinesis-blocked micronucleus assay and cancer risk assessment. Mutagenesis. 2011 Jan;26(1):101–106. doi: 10.1093/mutage/geq071. [DOI] [PubMed] [Google Scholar]
  • 48.Roth JM, Restani RG, Gonçalves TT, et al. Genotoxicity evaluation in chronic renal patients undergoing hemodialysis and peritoneal dialysis, using the micronucleus test. Genet Mol Res. 2008;7(2):433–443. doi: 10.4238/vol7-2gmr441. [DOI] [PubMed] [Google Scholar]
  • 49.Guven GS, Altiparmak MR, Trabulus S, et al. Relationship between genomic damage and clinical features in dialysis patients. Mol Biomarkers. 2010;14(1):37–41. doi: 10.1089/gtmb.2012.0301. [DOI] [PubMed] [Google Scholar]
  • 50.Kobras K, Schupp N, Nehrlich K, et al. Relation between different treatment modalities and genomic damage of endstage renal failure patients. Kidney Blood Press Res. 2006;29(1):10–17. doi: 10.1159/000092482. [DOI] [PubMed] [Google Scholar]
  • 51.Buemi M, Floccari, Costa, et al. Dialysis-related genotoxicity: sister chromatid exchanges and DNA lesions in T and B lymphocytes of uremic patients. Genomic damage in patients on hemodiafiltration. Blood Purif. 2006;24(5–6):569–574. doi: 10.1159/000097080. [DOI] [PubMed] [Google Scholar]
  • 52.Lialiaris T, Mavromatidou P, Digkas E, et al. Chromosome instability in patients with chronic renal failure. Genet Test Mol Biomarkers. 2010;14(1):37–41. doi: 10.1089/gtmb.2009.0109. [DOI] [PubMed] [Google Scholar]
  • 53.Stoyanova E, Pastor S, Coll E, et al. Base excision repair capacity in chronic renal failure patients undergoing hemodialysis treatment. Cell Biochem Funct. 2014;32(2):177–182. doi: 10.1002/cbf.2989. [DOI] [PubMed] [Google Scholar]
  • 54.Demircigil CG, Aykanat B, Fidan K, et al. Micronucleus frequencies in peripheral blood lymphocytes of children with chronic kidney disease. Mutagenesis. 2011;26(5):643–650. doi: 10.1093/mutage/ger027. [DOI] [PubMed] [Google Scholar]
  • 55.Woywodt A, Chiu D, MacDowall P, et al. Renal failure, mental retardation and eponymous confusion. NDT Plus. 2009:1–5. doi: 10.1093/ndtplus/sfp038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Kuroda N, Shiotsu T, Hes O, et al. Acquired cystic disease-associated renal cell carcinoma with gain of chromosomes 3, 7, and 16, gain of chromosome X, and loss of chromosome Y. Med Mol Morphol. 2010;43(4):231–234. doi: 10.1007/s00795-009-0465-8. [DOI] [PubMed] [Google Scholar]
  • 57.Al-Owain M, Kaya N, Hamad Al-Zaidan, et al. Renal Failure Associated with APECED and Terminal 4q Deletion: Evidence of Autoimmune Nephropathy. Clin Dev Immunol. 2010;2010:586342. doi: 10.1155/2010/586342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Leonard NJ, Harley FL, Lin CC. Terminal deletion of chromosome 10q at band 26.1: follow-up in an adolescent male with high-output renal failure from congenital obstructive uropathy. Am J Med Genet. 1999;86(2):115–117. [PubMed] [Google Scholar]
  • 59.Topaloglu R, Aktas D, Bakkaloglu A, et al. Diploid-triploid and tetraploid mosaicism in a child with cryptogenic cirrhosis and membranous glomerulonephritis: a causal relationship or coincidental association? Turk J Pediatr. 1998;40(1):139–143. [PubMed] [Google Scholar]
  • 60.Molin A, Benoist G, Jeanne-Pasquier C, et al. 12q21 Microdeletion in a fetus with Meckel syndrome involving CEP290/MKS4. Eur J Med Genet. 2013;56(10):580–583. doi: 10.1016/j.ejmg.2013.08.002. [DOI] [PubMed] [Google Scholar]
  • 61.Aoki T, Kasai M, Harada Y, et al. Stable renal engraftment in a patient following successful tandem autologous/reduced-intensity conditioning allogeneic transplantation for treatment of multiple myeloma with del(17p) that developed as a post-transplantation lymphoproliferative disease following renal transplantation. International Journal of Hematology. 2013;98(1):129–134. doi: 10.1007/s12185-013-1355-3. [DOI] [PubMed] [Google Scholar]
  • 62.Trachoo O, Assanatham M, Jinawath N, Nongnuch A. Chromosome 20p inverted duplication deletion identified in a Thai female adult with mental retardation, obesity, chronic kidney disease and characteristic facial features. Eur J Med Genet. 2013;56(6):319–324. doi: 10.1016/j.ejmg.2013.03.011. [DOI] [PubMed] [Google Scholar]
  • 63.Herzog CA, Ma JZ, Collins AJ. Poor long-term survival after acute myocardial infarction among patients on long-term dialysis. N Engl J Med. 1998;339:799–805. doi: 10.1056/NEJM199809173391203. [DOI] [PubMed] [Google Scholar]
  • 64.Teschner M, Garte C, Ruckle-Lanz H, et al. Incidence and spectrum of malignant disease among dialysis patients in north Bavaria. Dtsch Med Wochenschr. 2002;127:2497–2502. doi: 10.1055/s-2002-35637. [DOI] [PubMed] [Google Scholar]
  • 65.Miyata T, Oda O, Inagi R, et al. β2-Microglobulin modified with advanced glycation end products is a major component of hemodialysis-associated amyloidosis. Journal of Clinical Investigation. 1993;92(3):1243–1252. doi: 10.1172/JCI116696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Ishibashi Y, Sugimoto T, Ichikawa Y, et al. Glucose dialysate induces mitochondrial DNA damage in peritoneal mesothelial cells. Perit Dial Int. 2002;22(1):11–21. [PubMed] [Google Scholar]
  • 67.Herman M, Ori Y, Chagnac A, et al. Spontaneous DNA repair increases during hemodialysis. Nephron Clin Pract. 2008;108(3):c188–193. doi: 10.1159/000118941. [DOI] [PubMed] [Google Scholar]
  • 68.Lin HF, Li YH, Wang CH, et al. Increased risk of cancer in chronic dialysis patients: a population-based cohort study in Taiwan. Nephrol Dial Transplant. 2011;0:1–6. doi: 10.1093/ndt/gfr464. [DOI] [PubMed] [Google Scholar]
  • 69.Lin YS, Hung SC, Wei YH, et al. GST M1 Polymorphism Associates with DNA Oxidative Damage and Mortality among Hemodialysis Patients. J Am Soc Nephrol. 2009;20(2):405–415. doi: 10.1681/ASN.2008020227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Stopper H, Meysen T, Böckenförde A, Bahner U, Heidland A, Vamvakas S. Increased genomic damage in lymphocytes of patients before and after long-term maintenance hemodialysis therapy. Am J Kidney Dis. 1999;34(3):433–437. doi: 10.1016/s0272-6386(99)70069-7. [DOI] [PubMed] [Google Scholar]
  • 71.Bonassi S, El-Zein R, Bolognesi C, Fenech M. Micronuclei frequency in peripheral blood lymphocytes and cancer risk: evidence from human studies. Mutagenesis. 2011;26(1):93–100. doi: 10.1093/mutage/geq075. [DOI] [PubMed] [Google Scholar]
  • 72.Nugent RA, Fathima SF, Feigl AB, Chyung D. The Burden of Chronic Kidney Disease on Developing Nations: A 21st Century Challenge in Global Health. Nephron Clin Pract. 2011;118:c269–c277. doi: 10.1159/000321382. [DOI] [PubMed] [Google Scholar]
  • 73.Stenvinkel P. Chronic kidney disease: A public health priority and harbinger of premature cardiovascular disease. J Intern Med. 2010;268(5):456–67. doi: 10.1111/j.1365-2796.2010.02269.x. [DOI] [PubMed] [Google Scholar]
  • 74.Moberly JB, Logan J, Borum PR, et al. Elevation of whole-blood glutathione in peritoneal dialysis patients by L-2-oxothiazolidine-4-carboxylate, a cysteine prodrug (procysteine) Journal of the American Society of Nephrology. 1998;9(6):1093–1099. doi: 10.1681/ASN.V961093. [DOI] [PubMed] [Google Scholar]
  • 75.Giray B, Ka E, Bali M, et al. The effect of vitamin E supplementation on antioxidant enzyme activities and lipid peroxidation levels in hemodialysis patients. Clin Chim Acta. 2003;338:91–98. doi: 10.1016/j.cccn.2003.07.020. [DOI] [PubMed] [Google Scholar]
  • 76.Fragedak E, Nebel M, Schupp N, et al. Genomic damage and circulating AGE levels in patients undergoing daily versus standard haemodialysis. Nephrol Dial Transplant. 2005;20:1936–1943. doi: 10.1093/ndt/gfh898. [DOI] [PubMed] [Google Scholar]
  • 77.Schupp N, Schmid U, Heidland A, et al. New approaches for the treatment of genomic damage in end-stage renal disease. J Ren Nutr. 2008;18:127–133. doi: 10.1053/j.jrn.2007.10.026. [DOI] [PubMed] [Google Scholar]
  • 78.Devaraj S, Jialal I. The effects of alpha-tocopherol on critical cells in atherogenesis. Current Opinion in Lipidology. 1998;9(1):11–15. doi: 10.1097/00041433-199802000-00004. [DOI] [PubMed] [Google Scholar]
  • 79.Kan E, Undeger U, Bali M, et al. Assessment of DNA strand breakage by the alkaline COMET assay in dialysis patients and the role of Vitamin E supplementation. Mutat Res. 2002;520(1–2):151–159. doi: 10.1016/s1383-5718(02)00205-x. [DOI] [PubMed] [Google Scholar]
  • 80.Domenici FA, Vannucchi MT, Jordao AA, et al. DNA oxidative damage in patients with dialysis treatment. I. 2005;27(6):689–694. doi: 10.1080/08860220500242678. [DOI] [PubMed] [Google Scholar]
  • 81.Wautier MP, Chappey O, Corda S, et al. Activation of NADPH oxidase by AGE links oxidant stress to altered gene expression via RAGE. The American Journal of Physiology. 2001;280(5):E685–E694. doi: 10.1152/ajpendo.2001.280.5.E685. [DOI] [PubMed] [Google Scholar]
  • 82.Stopper H, Schupp N, Klassen A, et al. Genomic damage in chronic renal failure--potential therapeutic interventions. J Ren Nutr. 2005;15(1):81–86. doi: 10.1053/j.jrn.2004.09.017. [DOI] [PubMed] [Google Scholar]
  • 83.Floridi A, Antolini F, Galli F, et al. Daily haemodialysis improves indices of protein glycation. Nephrology Dialysis Transplantation. 2002;17(5):871–878. doi: 10.1093/ndt/17.5.871. [DOI] [PubMed] [Google Scholar]
  • 84.Satko SG, Freedman B, Moossavi S. Genetic factors in end-stage renal disease. Kidney Int Suppl. 2005;(94):S46–49. doi: 10.1111/j.1523-1755.2005.09411.x. [DOI] [PubMed] [Google Scholar]
  • 85.Gersen SL, Keagle MB. The principles of clinical cytogenetics. 2nd edition. Totowa, NJ: Humana Press; 2005. [Google Scholar]
  • 86.Vorsanova SG, Yurov YB, Iourov IY. Human interphase chromosomes: a review of available molecular cytogenetic technologies. Molecular Cytogenetics. 2010;3:1. doi: 10.1186/1755-8166-3-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Liehr T, Claussen U. Multicolor-FISH approaches for the characterization of human chromosomes in clinical genetics and tumor cytogenetics. Curr Genomics. 2002;3:231–235. [Google Scholar]
  • 88.Iourov IY, Vorsanova SG, Yurov YB. Recent patents on molecular cytogenetics. Recent Pat DNA Gene Seq. 2008;2:6–15. doi: 10.2174/187221508783406585. [DOI] [PubMed] [Google Scholar]
  • 89.Bejjani BA, Shaffer LG. Clinical utility of contemporary molecular cytogenetics. Annu Rev Genomics Hum Genet. 2008;9:71–86. doi: 10.1146/annurev.genom.9.081307.164207. [DOI] [PubMed] [Google Scholar]
  • 90.Wu CF, Pang ST, Shee JJ, et al. Identification of genetic alterations in upper urinary tract urothelial carcinoma in endstage renal disease patients. Genes Chromosomes Cancer. 2010;49(10):928–934. doi: 10.1002/gcc.20803. [DOI] [PubMed] [Google Scholar]
  • 91.Gogusev J, Murakami I, Doussau M, Louise, et al. Molecular Cytogenetic Aberrations in Autosomal Dominant Polycystic Kidney Disease Tissue. JASN. 2003;1(14):359–366. doi: 10.1097/01.asn.0000046963.60910.63. [DOI] [PubMed] [Google Scholar]
  • 92.Cossu-Rocca P, Eble JN, Zhang S, et al. Acquired cystic disease-associated renal tumors: an immunohistochemical and fluorescence in situ hybridization study. Mod Pathol. 2006;19(6):780–787. doi: 10.1038/modpathol.3800604. [DOI] [PubMed] [Google Scholar]
  • 93.Yildiz I, Sagliker Y, Demirhan O, et al. International evaluation of unrecognizably uglifying human faces in late and severe secondary hyperparathyroidism in chronic kidney disease. Sagliker syndrome. A unique catastrophic entity, cytogenetic studies for chromosomal abnormalities, calcium-sensing receptor gene and GNAS1 mutations. Striking and promising missense mutations on the GNAS1 gene exons 1, 4, 10, 4. J Ren Nutr. 2012;22(1):157–161. doi: 10.1053/j.jrn.2011.10.030. [DOI] [PubMed] [Google Scholar]
  • 94.Corredor Z, Stoyanova E, Rodríguez-Ribera L, Coll E, Silva I, Diaz JM, Ballarin J, Marcos R, Pastor S. Genomic damage as a biomarker of chronic kidney disease status. Environ Mol Mutagen. 2015;56(3):301–12. doi: 10.1002/em.21911. [DOI] [PubMed] [Google Scholar]
  • 95.Rangel-López A, Paniagua-Medina ME, Urbán-Reyes M, Cortes-Arredondo M, et al. Genetic damage in patients with chronic kidney disease, peritoneal dialysis and haemodialysis: a comparative study. Mutagenesis. 2013;28(2):219–25. doi: 10.1093/mutage/ges075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Stopper H, Meysen T, Bockenforde A, et al. Increased genomic damage in lymphocytes of patients before and after long-term maintenance hemodialysis therapy. Am J Kidney Dis. 1999;34(3):433–437. doi: 10.1016/s0272-6386(99)70069-7. [DOI] [PubMed] [Google Scholar]
  • 97.Buemi M, Costa C, Floccari F, et al. Genomic damage in endothelial progenitor cells from uremic patients in hemodialysis. JNephrol. 2010;23(3):328–334. [PubMed] [Google Scholar]
  • 98.Stopper H, Boullay F, Heidland A, et al. Comet-assay analysis identifies genomic damage in lymphocytes of uremic patients. Am J Kidney Dis. 2001;38(2):296–301. doi: 10.1053/ajkd.2001.26094. [DOI] [PubMed] [Google Scholar]
  • 99.Stoyanova E, Sandoval SB, Zuniga LA, et al. Oxidative DNA damage in chronic renal failure patients. Nephrol Dial Transplant. 2010;25:879–885. doi: 10.1093/ndt/gfp575. [DOI] [PubMed] [Google Scholar]
  • 100.Kobras K, Schupp N, Nehrlich K, et al. Relation between different treatment modalities and genomic damage of endstage renal failure patients. Kidney Blood Press Res. 2006;29(1):10–17. doi: 10.1159/000092482. [DOI] [PubMed] [Google Scholar]
  • 101.Schupp N, Stopper H, Rutkowski P, et al. Effect of different hemodialysis regimens on genomic damage in end-stage renal failure. Semin Nephrol. 2006;26:28–32. doi: 10.1016/j.semnephrol.2005.06.007. [DOI] [PubMed] [Google Scholar]
  • 102.Pernice F, Floccari F, Nostro L, et al. Oxidative stress, sister chromatid exchanges and apoptosis in the pathogenesis of lymphocytopenia in ESRD patients. J Nephrol. 2006;19(5):613–620. [PubMed] [Google Scholar]
  • 103.Lialiaris T, Mavromatidou P, Digkas E, et al. Chromosome instability in patients with chronic renal failure. Genet Test Mol Biomarkers. 2010;14(1):37–41. doi: 10.1089/gtmb.2009.0109. [DOI] [PubMed] [Google Scholar]
  • 104.Buemi M, Floccari, Costa, et al. Dialysis-related genotoxicity: sister chromatid exchanges and DNA lesions in T and B lymphocytes of uremic patients. Genomic damage in patients on hemodiafiltration. Blood Purif. 2006;24(5–6):569–574. doi: 10.1159/000097080. [DOI] [PubMed] [Google Scholar]

Articles from International Journal of Health Sciences are provided here courtesy of Qassim University

RESOURCES