, 2009, 8, 3 , , ., ., ., . « » . ; , . ( . ., 2009). , , , , , . 35 , 42 ,6 ,5 , 2008/09 . (A. Menashi, 1988). ( Sigma). 88,6% (95% : 78,0-99,1) , 20 23,5% . 1 16,9% , 2009, 8, 3 83,3% (95% : 72,1-94,6), 28,7% 21,1% . 100% , 43,3%, – 32,5%, , . , , – . , , , ( , , ) . : , , , , , , . Abstract. Antibiotic resistance of pathogenic bacteria is known to be one of the most challenging problems of up-to-date infectiology, but this phenomenon is still analyzed from the position of bacteria only. The other day we described the relatively high beta-lactamase activity of blood serum of patients ill with erysipelas and pneumonia (I. Zhyltsou et al., 2009). Thus, the goal of our present study was to confirm that blood serum of patients with other communicable diseases also can destroy beta-lactams, and, besides, to assess frequency and level of above activity. We examined 35 patients with adenoviral infection, 42 patients with acute purulent tonsillitis, 6 patients with serous meningitis and 5 patients with purulent meningitis who were hospitalized to Vitebsk Regional Infectious Hospital in 2008-09. To determine the presence and level of beta-lactamase activity of blood serum, we used 2 , 2009, 8, 3 adjusted neocuproine technique (A. Menashi, 1988), ampicillin and penicillin G (chemically pure substances by Sigma) were taken as substrates. Beta-lactamase activity was found in 88,6% (95% CI: 78,0-99,1) of all patients ill with adenoviral infection (average levels of antibiotic destruction for 20 minutes of incubation were 23,5% for ampicillin and 16,9% for penicillin G). Also, beta-lactamase activity was revealed in 83,3% of acute purulent tonsillitis cases (95% CI: 72,1-96,4); middle level of antibiotic destruction was found equal to 28,7% for ampicillin and 21,1% for penicillin G. In patients with serous and purulent meningitis beta-lactamase activity of blood was found in 100% of all cases; its corresponding middle level of destruction was 43,3% for ampicillin and 32,5% for penicillin G what was found to be reliably higher than the same characteristics of other investigated groups of patients. We have also revealed several reliable direct correlations of moderate power between the level of blood beta-lactamase activity on the one hand and both duration of hospitalization and prescription of beta-lactams on the other hand. Thus, our assumption that beta-lactamase activity is very common in human population and can be found in patients ill with a number of diseases (perhaps, also in normal healthy individuals) and it’s a response of the organism towards the prescription of beta-lactams has been once again confirmed. Keywords: Beta-lactamase activity, human blood serum, adenoviral infection, acute purulent tonsillitis, serous meningitis, purulent meningitis, antibiotics of beta-lactam group. 27, : , , 210023, . « , , », . 24-33-46 - . . − ( 3 ) , 2009, 8, 3 . . , . , , 33,82% G1, 2 4, - ( ) [1]. , (« »), [2]. , , 90- . , , . , , ( 19 96% , ), ( ) – [3]. , D- ( 12). – -D- -D– ); D- -D- D- ; ( [4]), . 4 , - , 2009, 8, 3 « ( « »), ( – killing » substrate) . – .« » [5]. , . , , , , ; , , [5]. , , ( – 0,5-1 , ) [6]. . , , - , , , ( . ) , , . , , 4 15 1 ( , 100 10.000 1000-4000 ); 5-10 , - [5]. , , . , , [7]. , , , 3- 5 , 2009, 8, 3 ( 3- , ) ; , , . , , , 3- , , ( , ), [8]. , , , - , , ( , , ) [1]. ( , , ) , ; [9]. ( , (±)-2- -3- BCL-98) ) , , ( , , L- ; [10]. ( , ), , . , in vivo in vitro, . « » [11]. , , 6 , 2009, 8, 3 , , , . - ; , , , ), ( ); . , ( 30 ) . , ( ). ( ) . 1. . , 4° 4-6 ; 3000 15 . -20° ; . 2. . [12]. . SOLAR. 03 11 2864 06) . 7 2203, ( . , 2009, 8, 3 ( Sigma). 0,05 0,18 1:1 (t=37° ) 20 . 0,4 (pH=4,75), 0,5 30 . 454,5 10 . . : 1) ( ), 0,05 1:1, ; 2) ( 0,05 ), 1:1, ; 3) ( ), 0,05 0,2 37° 30 . , , ( ). . , : ) ; . 8 ) , , 2009, 8, 3 , 3 . , . 3. . – (cross- sectional; ). 4. , 88 ( ) 2008-2009 , . 4 : 1. 35 « 2. 42 »; « 3. 6 « 4. 5 « »; »; ». , 1. 1 , n (%) 88 - 35 42 6 5 ( ) 21,6 min 12, max 62 95% : 19,6-23,6 20,4 min 13, max 62 95% : 16,9-24,0 21,2 min 12, max 44 95% : 18,9-23,6 25,5 min 13, max 51 95% : 11,2-39,8 28,6 min 14, max 45 95% : 13,3-43,9 , n (%) 40 (45,5) ( ) 22,0 min 12, max 51 95% : 18,8-25,1 18,8 min 13, max 27 95% : 15,9-21,7 21,0 min 12, max 44 95% : 17,1-25,0 27,5 min 13, max 51 95% : 0,3-54,7 38,5 min 32, max 45 11 (31,4) 23 (54,8) 4 (66,7) 2 (40,0) 9 , n (%) 48 (54,5) 24 (68,6) 19 (45,2) 2 (33,3) 3 (60,0) ( ) 21,3 min 13, max 62 95% : 18,6-24,1 21,2 min 13, max 62 95% : 16,0-26,3 21,5 min 14, max 37 95% : 18,9-24,1 21,5 min 20, max 23 95% : 2,4-40,6 22,0 min 14, max 33 , 2009, 8, 1 , 20-25 3 , 1,2 : 1 ( ) 1 : 2,2 ); , (54,5% 45,5%, ). . 21 ( - 9, - 11, 56 - - 1), ( - 23, - 28, - 5), - 2, - 4), 6 1- ). , (66,7%, 95% : 56,6-76,8) ; (25,0%, 95% : 15,7-34,3). , . , . , , . , (12 5,5 (10 95% – ., 95% 34,3%, : 4,5-6,5), - 29,4%, 5,9 : 3,9-7,9), – 5,2 (2 (9 ., 95% ), 10 – 26,5%, : 3,3-7,1). (4 ., , ), (3 , 2009, 8, 3 ), (2 ), (1 ). 6,1 : 5,5-6,7). . (95% – 1 (n=32), – 0 (n=24). , . (n=27, 69,2%, 5,9 : 5,0-6,8), ., 95% (n=7, 17,9%, 5,4 ., 95% ( : 3,9-6,9), n=6, 15,4%; 4,2 4,8 ., 95% ., 95% : 2,0-6,3; : 2,1-7,5). (n=1), , (n=4) (n=2). 7,5 6,9-8,1). . (95% : - 1 (n=36), – 0 (n=23). , , . (n=4,66,7%) 11,0 (n=1) ., 95% : 3,2-18,8). (n=1). 9,4 . (95% : 2,5-16,3). – 1 (n=6), – 0 (n=6). (n=2), (n=2), (n=2), (n=1), (n=1), (n=1), (n=1), (n=1). 18,3 11 . , 2009, (95% 8, 3 : 14,5-22,1). –2 (n=3), – 2 (n=3). , , – . , , , , , , , .). 5. Statistica 7.0. , – (Spearman), – U(Mann-Whitney), (>2) – (Kruskal-Wallis). 2 , (< 10 ) - (Fisher’s exact test). , ; . , ( 2. 12 . ). , 2009, 8, 3 2 ,% (95% , % ,% )* (95% 87,5% (95% 80,6-94,4) : 88,6% (95% 78,0-99,1) : 83,3% (95% 72,1-94,6) : 100% 100% (95% )** 28,0% (95% : 24,75-31,27) min 2,0, max 87,0 23,5% (95% : 19,34-27,75) min 2,0, max 42,3 28,7% (95% : 23,39-34,06) min 6,7, max 87,0 34,2% (95% : 21,35-46,95) min 17,7, max 43,7 43,3% (95% : 26,36-60,32) min 20,6, max 54,1 , % )* 77,3% (95% 68,5-86,0) : 74,3% (95% 59,8-88,8) : 76,2% (95% 63,3-89,1) : 83,3% (95% 53,5-100) : 100% (95% )** 20,2% (95% : 16,89-23,44) min 1,4, max 88,2 16,9% (95% : 15,78-26,32) min 4,8, max 88,2 21,1% (95% : 15,78-26,32) min 4,8, max 88,2 18,9% (95% : 0-43,39) min 1,4, max 41,4 32,5% (95% : 11,13-53,83) min 13,0, max 59,3 : * ** 1. , ; % (20 ) , ; 2. , . 100 90 80 70 60 50 40 30 20 10 0 -10 1 13- 2 3 ,2,4- 4 , Median 25%-75% Min-Max . . 1. 13 , 2009, 8, 3 100 90 80 70 60 50 40 30 20 10 0 -10 1 2 1- 3 ,2,4- 3- Median 25%-75% Min-Max 4 , . 2. . 1-2 , . whisker» (« »), « » , , « » « – 3 «box-and- (75 » – 1 ), , – (25 « ( 14 , ), » – . ). , , 2009, 8, 3 – 20-30% . , ; . , – , . – 0 88%. , , ( 74% 100% ). 2 ( =0,28…1,0). , =0,018), ( =0,059). U- , : 1) , ( =0,034); 2) , , ( =0,0049 15 , =0,0041 , 2009, 8, 3 ) ( =0,018 , 0,020 ). 3) , =0,10…0,92). , , , , – , « » . , : 1. (r=+0,62… +0,66, p<0,0001). , [11]; 2. (r=+0,33, p<0,005) (r=+0,27, p<0,05; r=+0,37, p<0,05). , , , , , ; 3. (r=+0,30, p<0,01), (r=+0,30, p<0,01). ( r=+0,23, p<0,05). 16 , 2009, 8, 3 , , ( , ), ; 4. (r=+0,75, <0,01). , , , . , , , , , (p) (6 5 , , 0,01 . ) . . , ( [11]) / (r= +0,9…1,0, p<0,05) . , , ( , , 88), . ( . ) , 1) , : 5 17 , , 2009, 2) 8, 3 , 1-1,5 4 (4-6 ), , , 4-6 , 0,2-0,3 , (0,18 ). , 28% 20% ( 20 37° ) ( 2,5 ) , : ( ), , ( ) , , , . 3.1. , , , ( ) . ( , ), . , . , ( ) – , . 18 , 2009, 8, 3 3.2. , , ( ), , , . 3.3. , . , , , ( , , ) . , [8] . , , , in vivo in vitro. , ; . . , , 19 , 2009, 8, 3 . 1. « in vivo / . . [ » : IgG, .] // . – 2006. – 5 (62). – . 46-48. 2. Jerne, N. K. Towards a network theory of the immune system / N. K. Jerne // Ann.Immunol. (Inst.Pasteur). – 1974. – Vol. 125, N 1-2. – P. 373-389. 3. 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