PMID- 22546635
OWN - NLM
STAT- MEDLINE
DCOM- 20120927
LR  - 20151119
IS  - 1879-1298 (Electronic)
IS  - 0045-6535 (Linking)
VI  - 88
IP  - 7
DP  - 2012 Aug
TI  - Very high correlations between fresh weight and lipid-adjusted PCB-153 serum 
      concentrations: irrespective of fasting status, age, body mass index, gender, or 
      exposure distributions.
PG  - 828-31
LID - 10.1016/j.chemosphere.2012.03.089 [doi]
AB  - BACKGROUND AND AIM: Persistent organochlorine pollutants (POPs) have in 
      epidemiological studies been associated with health hazards. The exposure window 
      might be crucial and it is, accordingly, important to analyze exposure 
      concentrations in samples collected at the window of interest. This makes the use 
      of stored blood samples extremely interesting. However, small blood volumes from 
      stored samples in biobanks means that the researchers in epidemiological studies 
      most often have to select a limited number of biomarkers representing the POP 
      exposure and abstain from analyses of lipid concentrations. This raises the 
      question of the necessity of lipid adjustment. The aim of the present study was 
      to evaluate the correlation between fresh weight and lipid adjusted 
      concentrations. METHODS: We included data from studies were we have used the PCB 
      congener 2,2',4,4',5,5'-hexachlorobiphenyl (PCB-153) as a biomarker for POP 
      exposure and where fresh weight as well as lipid adjusted PCB-153 concentrations 
      are known (n=1628). The variety of the cohort members in the different studies 
      gave us the possibility to better understand how well these measures correlate. 
      RESULTS: When all individuals were included in the analyses a correlation 
      coefficient of 0.95 between fresh weight and lipid adjusted serum concentrations 
      was obtained. Restricting the analyses to specific subgroups (based on gender, 
      fasting status, age and BMI) gave correlation coefficients between 0.85 and 0.97. 
      CONCLUSIONS: This study does strongly support the use of samples from biobanks in 
      epidemiological studies for analyzing PCBs, at least regarding PCB-153, even 
      though it is not possible to lipid adjust the results.
CI  - Copyright (c) 2012 Elsevier Ltd. All rights reserved.
FAU - Rylander, Lars
AU  - Rylander L
AD  - Division of Occupational and Environmental Medicine, Lund University, SE-221 85 
      Lund, Sweden. lars.rylander@med.lu.se
FAU - Bjorkdahl, Carl-Magnus
AU  - Bjorkdahl CM
FAU - Axmon, Anna
AU  - Axmon A
FAU - Giwercman, Aleksander
AU  - Giwercman A
FAU - Jonsson, Bo A G
AU  - Jonsson BA
FAU - Lindh, Christian
AU  - Lindh C
FAU - Rignell-Hydbom, Anna
AU  - Rignell-Hydbom A
LA  - eng
PT  - Journal Article
DEP - 20120428
PL  - England
TA  - Chemosphere
JT  - Chemosphere
JID - 0320657
RN  - 0 (Environmental Pollutants)
RN  - DFC2HB4I0K (Polychlorinated Biphenyls)
RN  - ZRU0C9E32O (2,4,5,2',4',5'-hexachlorobiphenyl)
SB  - IM
MH  - Adult
MH  - Body Mass Index
MH  - Body Weight
MH  - Cohort Studies
MH  - Environmental Pollutants/*blood
MH  - Fasting
MH  - Female
MH  - Gender Identity
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Polychlorinated Biphenyls/*blood
EDAT- 2012/05/02 06:00
MHDA- 2012/09/28 06:00
CRDT- 2012/05/02 06:00
PHST- 2011/10/04 00:00 [received]
PHST- 2012/03/15 00:00 [revised]
PHST- 2012/03/31 00:00 [accepted]
PHST- 2012/05/02 06:00 [entrez]
PHST- 2012/05/02 06:00 [pubmed]
PHST- 2012/09/28 06:00 [medline]
AID - S0045-6535(12)00469-9 [pii]
AID - 10.1016/j.chemosphere.2012.03.089 [doi]
PST - ppublish
SO  - Chemosphere. 2012 Aug;88(7):828-31. doi: 10.1016/j.chemosphere.2012.03.089. Epub 
      2012 Apr 28.