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1.
BMC Nephrol ; 24(1): 96, 2023 04 13.
Article in English | MEDLINE | ID: mdl-37055746

ABSTRACT

BACKGROUND: Low- and middle-income countries experience an increasing burden of chronic kidney disease. Cardiovascular risk factors, including advancing age, may contribute to this phenomenon. We (i) profiled cardiovascular risk factors and different biomarkers of subclinical kidney function and (ii) investigated the relationship between these variables. METHODS: We cross-sectionally analysed 956 apparently healthy adults between 20 and 30 years of age. Cardiovascular risk factors such as high adiposity, blood pressure, glucose levels, adverse lipid profiles and lifestyle factors were measured. Various biomarkers were used to assess subclinical kidney function, including estimated glomerular filtration rate (eGFR), urinary albumin, uromodulin and the CKD273 urinary proteomics classifier. These biomarkers were used to divide the total population into quartiles to compare extremes (25th percentiles) on the normal kidney function continuum. The lower 25th percentiles of eGFR and uromodulin and the upper 25th percentiles of urinary albumin and the CKD273 classifier represented the more unfavourable kidney function groups. RESULTS: In the lower 25th percentiles of eGFR and uromodulin and the upper 25th percentile of the CKD273 classifier, more adverse cardiovascular profiles were observed. In multi-variable adjusted regression analyses performed in the total group, eGFR associated negatively with HDL-C (ß= -0.44; p < 0.001) and GGT (ß= -0.24; p < 0.001), while the CKD273 classifier associated positively with age and these same risk factors (age: ß = 0.10; p = 0.021, HDL-C: ß = 0.23; p < 0.001, GGT: ß = 0.14; p = 0.002). CONCLUSION: Age, lifestyle and health measures impact kidney health even in the third decade.


Subject(s)
Cardiovascular Diseases , Renal Insufficiency, Chronic , Humans , Young Adult , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/complications , Risk Factors , Uromodulin , Biomarkers , Renal Insufficiency, Chronic/diagnosis , Renal Insufficiency, Chronic/epidemiology , Renal Insufficiency, Chronic/complications , Glomerular Filtration Rate/physiology , Kidney , Heart Disease Risk Factors , Albumins
2.
J Appl Microbiol ; 104(2): 353-63, 2008 Feb.
Article in English | MEDLINE | ID: mdl-17922822

ABSTRACT

AIMS: Comparison of the microbial composition and process performance between laboratory scale processes treating domestic and vegetable oil wastewaters. METHODS AND RESULTS: Two laboratory scale modified Ludzack-Ettinger processes were operated under similar operating conditions. One process was fed domestic wastewater and the other an industrial wastewater, vegetable oil effluent. Nitrogen removal capacities of the processes were similar. The industrial process exhibited a lower COD removal capacity and oxygen utilization rate, although a greater mixed liquor volatile suspended solids concentration was observed in the industrial process. Fluorescent in situ hybridization (FISH) with probes EUBmix, ALF1b, BET42a, GAM42a and HGC69a revealed that 81% and 72% of total cells stained with 4', 6-diamidino-2-phenylindole (DAPI) within the domestic and industrial processes respectively bound to EUBmix. This indicated a slightly lower Eubacterial population within the industrial process. The alpha-proteobacteria was the dominant community in the industrial process (31% of EUBmix), while the beta-proteobacteria dominated the domestic process (33% of EUBmix). CONCLUSIONS: The findings served to establish a difference in the microbial population between the processes. Therefore, the class alpha-proteobacteria could play a primary role in the degradation of vegetable oil effluent. SIGNIFICANCE AND IMPACT OF THE STUDY: This research will aid in process design and retrofitting of biological processes treating vegetable oil effluent.


Subject(s)
Industrial Waste , Plant Oils , Proteobacteria/metabolism , Sewage , Waste Disposal, Fluid/methods , Alphaproteobacteria/isolation & purification , Alphaproteobacteria/metabolism , Bacterial Typing Techniques , Betaproteobacteria/isolation & purification , Betaproteobacteria/metabolism , Humans , In Situ Hybridization, Fluorescence
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