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Дата индексирования: Sat Dec 22 18:23:11 2007
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, , , . , , . , AI . : , (), () AI, . Stepwise discriminant analysis was performed in groups of middle-aged men with low and elevated high density lipoprotein (HDL) cholesterol (n=30 in each group). Mathematics models for cholesterol efflux calculation have been constructed. Apolipoprotein AI plasma concentrations appeared to be the most powerful parameter for prediction of the cholesterol acception activity as the first step of reverse cholesterol transport process. Key words: reverse cholesterol transport, high density lipoprotein cholesterol, apolipoprotein (apo) AI, regression models.

1. , (), . , () , , AI- () , . . . , , , : () () - [1-4]. - () , , , , , .

, - (ABCA1) [5, 6], ( , ) (), - (SR-B1) [6, 7]. - , [8]. , [9], [10] , , , ­ , , , . , . 13

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2. - 40-59 , 5 ( 50 /), ( 40 /). , t- ( 0,05) ( 53,0±6,9 51,1±7,0, ). ( 96-1635) , . . [11], [12] [13] "Human" () "Airone-200" (). () [14] ( 400 /). I ("Behring", ), . II, AIV AI- - ("Sebia", ) [15-16]. AI: AII- AI AI- . "BoКhringer Mannheim" (). . - [3], [3H]- 14

Fu5AH. ( [17]). , , . , : - , [3]. () - - (130:30:1.5) ("Merk", ). , , . 12 0.5 MgCl2. , . , , , . . . , , -. ( , ) [18, 22]. F F- , [18, 22] =0,05. , [23] STATISTICA 5.5, SAS 6.0.

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. . , . . , . .

1. ( ± ) (/) B AI AII AIV AI AI:AII (%) (%) (%) a P < 0.05 I (n = 30) ( 50 /) 226 ± 6.7 101 ± 9.5 58 ± 1.6 9.9 ± 0.5 82.1 ± 2.7 148 ± 6.3 115 ± 2.9 133 ± 3.2 33 ± 1.3 62 ± 2.7 72 ± 1.7 111 ± 3.0
a a a a

II (n = 30) ( 40 /) 218 ± 6.1 159 ± 5.5 36 ± 0.8 11.6 ± 0.4 40.7 ± 1.2 150 ± 6.1 123 ± 3.1 101 ± 2.4 23.9 ± 0.93 23.1 ± 1.03 44 ± 1.3 58 ± 2.4 90 ± 3.1 9.7 ± 1.8

24.6 ± 1.66
a a a

8.8 ± 1.61 36.9 ± 1.22 7.0 ± 0.44 46.0 ± 2.7
a

31.5 ± 0.74 8.8 ± 0.3 49.0 ± 2.0

2. 0- ln ln ln ln ln ln ln F AI AII AIV = F0,95(1, 22)= 4,3 6.743 4.746 5.744 2.390 0.414 1.370 3.007 F ln AI (1- ) 0.917 5.257 0.828 0.176 0.103 1.349 ln AIV (2- ) 1.969 1.055 0.037 0.835 1.296

3. . 1 .

, , .. AI, AII, AIV, , (), (), .

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.

.

. 1. (1) 40 / () (2) 50 / (). (%). 95% .

, , , . . 2 3 , . . 2, F- 0- AI (ln AI), . . . 1- AI (AI) -

AIV (AIV). (F = F0,95(1,22) = 4.3). (%) . : Ln = 0,47 Ln AI + 0,16Ln AIV + 0,80 (1) (. 3) , Ln AI, - Ln AIV; : Ln C = 1,11 Ln AI ­ 0,18 Ln AIV ­ 1,26 (2) . 1 ,

3. ln ln ln ln ln ln ln F


AI AII AIV = F0,95(1, 22) = 4,3

0- 13.307 0.123 0.0139 3.535 2.942 0.203 1.865

F ln AI 1- 0.312 5.618 1.842 0.351 0.741 1.326

ln AIV 2- 1.303 0.784 0.010 0.357 0.337

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. . , . . , . .

() Ln C, (). AI AIV, (%) , , , . , , , , , , . ( ), . 1. . , , . , , (n=30) [22]. =0,05. . , . 1, . - . F- 0- AI ( ln AI) ( AI ( ln AI) , ), . . (%) . 1- AI ( )
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(I), (II). , I = 0, 21 AI + 8,49 (3)

c R=0,56 R2= 0,31 II = 0, 16 AI + 15,12 (4)

c R= 0,55 R2=0,30. (3)(4) AI, . , (%) AI : = 0, 18 AI + 13,13 (5)

R=0,69 R2=0,48 (. 2). 4. (1) (2), , , , AI AIV. , AIV (2) "", AIV (1) . [19], , [20, 21], . , , , 17




. 96-1635, - ( : . ., . ., . ., . ., . .; , . , : Castro G.; , , : Jauhiainen M.). . . . . .-. . . .
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. 2.
. - 40 /; - 50 /. 95% .

AI, AIV- . , AI; , , AI, , AIV . , , AI, . , I, II, ( ) - AI. , , AI -

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