Chinese Journal of Clinical Pharmacology and Therapeutics ›› 2026, Vol. 31 ›› Issue (9): 1238-1248.doi: 10.12092/j.issn.1009-2501.2026.09.010
Shiya WU1,2(
), Xiaodan LIU3, Yan HU1, Qi LIN1,2,3,*(
)
Received:2025-07-10
Revised:2025-09-28
Online:2026-09-26
Published:2026-10-08
Contact:
Qi LIN
E-mail:736889128@qq.com;linqitc@hotmail.com
CLC Number:
Shiya WU, Xiaodan LIU, Yan HU, Qi LIN. Correlation analysis between tigecycline therapeutic concentration monitoring and adverse reactions[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(9): 1238-1248.
| Compound | Ion pair type | Precursor Ion (m/z) | Product Ion (m/z) | Exit voltage (V) | Collision energy (eV) |
| TGC | Quantitative ion-pairing | 586.3 | 513.1 | 180 | 30 |
| Qualitative ion pair | 586.3 | 569.2 | 180 | 20 | |
| Reserpine | Quantitative ion-pairing | 609.2 | 195.0 | 110 | 40 |
| Qualitative ion pair | 609.2 | 173.4 | 110 | 50 |
Table 1 MRM mass spectrometry parameters of TGC and reserpine
| Compound | Ion pair type | Precursor Ion (m/z) | Product Ion (m/z) | Exit voltage (V) | Collision energy (eV) |
| TGC | Quantitative ion-pairing | 586.3 | 513.1 | 180 | 30 |
| Qualitative ion pair | 586.3 | 569.2 | 180 | 20 | |
| Reserpine | Quantitative ion-pairing | 609.2 | 195.0 | 110 | 40 |
| Qualitative ion pair | 609.2 | 173.4 | 110 | 50 |
Fig.2 (A) Clinical plasma sample; (B) Double blank plasma; (C) Blank plasma added to LLOQ sample; (D) Blank plasma added to internal standard; (E,F) ULOQ post-blank sample.
| Nominal Concentration (ng/mL) | Run 1 | Run 2 | Run 3 | |
| ? | ||||
| 50 | ||||
| 100 | ||||
| 200 | ||||
| 500 | ||||
| 2000 | ||||
| Parameter | a | |||
| b | ? | |||
| r | ||||
Table 2 Standard curve of TGC in human plasma measured by HPLC-MS/MS (n=3)
| Nominal Concentration (ng/mL) | Run 1 | Run 2 | Run 3 | |
| ? | ||||
| 50 | ||||
| 100 | ||||
| 200 | ||||
| 500 | ||||
| 2000 | ||||
| Parameter | a | |||
| b | ? | |||
| r | ||||
| Batch | LLOQ (50 ng/mL) | Accuracy | LQC1 (150 ng/mL) | Accuracy | LQC2 (750 ng/mL) | Accuracy | MQC ( ng/mL) | Accuracy | HQC ( ng/mL) | Accuracy |
| First batch | 49.42 | 98.84 | 152.72 | 101.81 | 757.74 | 101.03 | 102.35 | 99.81 | ||
| 51.13 | 102.26 | 150.63 | 100.42 | 756.50 | 100.87 | 100.53 | 100.19 | |||
| 48.73 | 97.46 | 156.20 | 104.13 | 747.38 | 99.65 | 102.16 | 100.22 | |||
| 49.58 | 99.16 | 151.84 | 101.23 | 757.59 | 101.01 | 101.30 | 100.39 | |||
| 52.13 | 104.26 | 148.94 | 99.29 | 756.22 | 100.83 | 102.45 | 101.96 | |||
| Mean | 50.20 | 152.07 | 755.09 | |||||||
| SD | 1.39 | 2.71 | 4.36 | 24.72 | 37.62 | |||||
| Intra-batch CV% | 2.77 | 1.78 | 0.58 | 0.81 | 0.83 | |||||
| Intra-batch Accuracy (%) | 0.40 | 1.38 | 3.39 | 1.76 | 0.51 | |||||
| Second batch | 51.70 | 103.40 | 152.91 | 101.94 | 748.01 | 99.73 | 102.71 | 98.28 | ||
| 49.97 | 99.94 | 149.16 | 99.44 | 747.89 | 99.72 | 102.00 | 100.41 | |||
| 52.32 | 104.64 | 146.54 | 97.69 | 759.12 | 101.22 | 100.54 | 99.31 | |||
| 49.12 | 98.24 | 151.29 | 100.86 | 755.76 | 100.77 | 98.22 | 101.62 | |||
| 52.36 | 104.72 | 149.57 | 99.71 | 750.76 | 100.10 | 98.09 | 100.58 | |||
| Mean | 51.09 | 149.89 | 752.31 | |||||||
| SD | 1.47 | 2.39 | 4.97 | 63.56 | 57.59 | |||||
| Intra-batch CV% | 2.88 | 1.60 | 0.66 | 2.11 | 1.28 | |||||
| Intra-batch Accuracy (%) | 2.19 | ?0.07 | 1.54 | 0.31 | 0.04 | |||||
| Third batch | 48.35 | 96.70 | 156.43 | 104.29 | 758.76 | 101.17 | 103.26 | 102.04 | ||
| 53.94 | 107.88 | 156.02 | 104.01 | 745.76 | 99.43 | 102.86 | 101.82 | |||
| 54.09 | 108.18 | 148.81 | 99.21 | 745.76 | 99.43 | 96.67 | 99.70 | |||
| 53.09 | 106.18 | 148.59 | 99.06 | 757.76 | 101.03 | 99.09 | 100.61 | |||
| 53.04 | 106.08 | 153.26 | 102.17 | 754.76 | 100.63 | 100.07 | 102.10 | |||
| Mean | 52.50 | 152.62 | 752.56 | |||||||
| SD | 2.37 | 3.78 | 6.38 | 82.07 | 47.68 | |||||
| Intra-batch CV% | 4.51 | 2.48 | 0.85 | 2.73 | 1.05 | |||||
| Intra-batch Accuracy (%) | 5.00 | 1.75 | 1.71 | 0.39 | 1.25 | |||||
| Mean Calculated Concentration | 51.26 | 151.53 | 753.32 | |||||||
| Inter-batch CV% | 3.77 | 2.01 | 0.67 | 2.01 | 1.11 | |||||
| Intra-batch accuracy (%) | 2.53 | 1.02 | 2.21 | 0.82 | 0.60 |
Table 3 Accuracy and precision of TGC in human plasma
| Batch | LLOQ (50 ng/mL) | Accuracy | LQC1 (150 ng/mL) | Accuracy | LQC2 (750 ng/mL) | Accuracy | MQC ( ng/mL) | Accuracy | HQC ( ng/mL) | Accuracy |
| First batch | 49.42 | 98.84 | 152.72 | 101.81 | 757.74 | 101.03 | 102.35 | 99.81 | ||
| 51.13 | 102.26 | 150.63 | 100.42 | 756.50 | 100.87 | 100.53 | 100.19 | |||
| 48.73 | 97.46 | 156.20 | 104.13 | 747.38 | 99.65 | 102.16 | 100.22 | |||
| 49.58 | 99.16 | 151.84 | 101.23 | 757.59 | 101.01 | 101.30 | 100.39 | |||
| 52.13 | 104.26 | 148.94 | 99.29 | 756.22 | 100.83 | 102.45 | 101.96 | |||
| Mean | 50.20 | 152.07 | 755.09 | |||||||
| SD | 1.39 | 2.71 | 4.36 | 24.72 | 37.62 | |||||
| Intra-batch CV% | 2.77 | 1.78 | 0.58 | 0.81 | 0.83 | |||||
| Intra-batch Accuracy (%) | 0.40 | 1.38 | 3.39 | 1.76 | 0.51 | |||||
| Second batch | 51.70 | 103.40 | 152.91 | 101.94 | 748.01 | 99.73 | 102.71 | 98.28 | ||
| 49.97 | 99.94 | 149.16 | 99.44 | 747.89 | 99.72 | 102.00 | 100.41 | |||
| 52.32 | 104.64 | 146.54 | 97.69 | 759.12 | 101.22 | 100.54 | 99.31 | |||
| 49.12 | 98.24 | 151.29 | 100.86 | 755.76 | 100.77 | 98.22 | 101.62 | |||
| 52.36 | 104.72 | 149.57 | 99.71 | 750.76 | 100.10 | 98.09 | 100.58 | |||
| Mean | 51.09 | 149.89 | 752.31 | |||||||
| SD | 1.47 | 2.39 | 4.97 | 63.56 | 57.59 | |||||
| Intra-batch CV% | 2.88 | 1.60 | 0.66 | 2.11 | 1.28 | |||||
| Intra-batch Accuracy (%) | 2.19 | ?0.07 | 1.54 | 0.31 | 0.04 | |||||
| Third batch | 48.35 | 96.70 | 156.43 | 104.29 | 758.76 | 101.17 | 103.26 | 102.04 | ||
| 53.94 | 107.88 | 156.02 | 104.01 | 745.76 | 99.43 | 102.86 | 101.82 | |||
| 54.09 | 108.18 | 148.81 | 99.21 | 745.76 | 99.43 | 96.67 | 99.70 | |||
| 53.09 | 106.18 | 148.59 | 99.06 | 757.76 | 101.03 | 99.09 | 100.61 | |||
| 53.04 | 106.08 | 153.26 | 102.17 | 754.76 | 100.63 | 100.07 | 102.10 | |||
| Mean | 52.50 | 152.62 | 752.56 | |||||||
| SD | 2.37 | 3.78 | 6.38 | 82.07 | 47.68 | |||||
| Intra-batch CV% | 4.51 | 2.48 | 0.85 | 2.73 | 1.05 | |||||
| Intra-batch Accuracy (%) | 5.00 | 1.75 | 1.71 | 0.39 | 1.25 | |||||
| Mean Calculated Concentration | 51.26 | 151.53 | 753.32 | |||||||
| Inter-batch CV% | 3.77 | 2.01 | 0.67 | 2.01 | 1.11 | |||||
| Intra-batch accuracy (%) | 2.53 | 1.02 | 2.21 | 0.82 | 0.60 |
| Stability conditions | Nominal concentration (ng/mL) | Measured concentration (ng/mL) | Mean | Deviation (%) | ||
| Sample 1 | Sample 2 | Sample 3 | ||||
| Room temperature (24 h) | 150 | 154.97 | 149.59 | 158.89 | 154.48 | 2.99 |
| 0.86 | ||||||
| 4 °C storage (24 h) | 150 | 156.53 | 148.39 | 165.16 | 156.69 | 4.46 |
| ?1.85 | ||||||
| ?80 °C freeze-thaw 5 times | 150 | 154.50 | 146.01 | 144.54 | 148.35 | ?1.1 |
| 0.23 | ||||||
| ?80 °C for 30 days | 150 | 163.38 | 167.52 | 152.72 | 161.21 | 7.47 |
| 3.46 | ||||||
Table 4 Stability of TGC in human plasma under various storage conditions
| Stability conditions | Nominal concentration (ng/mL) | Measured concentration (ng/mL) | Mean | Deviation (%) | ||
| Sample 1 | Sample 2 | Sample 3 | ||||
| Room temperature (24 h) | 150 | 154.97 | 149.59 | 158.89 | 154.48 | 2.99 |
| 0.86 | ||||||
| 4 °C storage (24 h) | 150 | 156.53 | 148.39 | 165.16 | 156.69 | 4.46 |
| ?1.85 | ||||||
| ?80 °C freeze-thaw 5 times | 150 | 154.50 | 146.01 | 144.54 | 148.35 | ?1.1 |
| 0.23 | ||||||
| ?80 °C for 30 days | 150 | 163.38 | 167.52 | 152.72 | 161.21 | 7.47 |
| 3.46 | ||||||
| Nominal concentration (ng/mL) | Normal plasma | |
| Drug matrix factor (%) | Internal standard normalization factor (%) | |
| 150 | 63.39±3.12 | 69.01±3.32 |
| 59.73±4.02 | 68.43±5.75 | |
| CV% | 4.2 | 0.60 |
Table 5 Matrix effects of TGC in the plasma matrix
| Nominal concentration (ng/mL) | Normal plasma | |
| Drug matrix factor (%) | Internal standard normalization factor (%) | |
| 150 | 63.39±3.12 | 69.01±3.32 |
| 59.73±4.02 | 68.43±5.75 | |
| CV% | 4.2 | 0.60 |
| Parameters | TGC (n=10) |
| AUC0-12h (mg·L?1·h) | 2.36±0.51 (21.8%) |
| AUC0-∞ (mg·L?1·h) | 3.57±0.52 (14.7%) |
| T1/2 (h) | 7.71±2.82 (36.5%) |
| CL (L/h) | 22.36±6.42 (28.7%) |
| Vd (L) | 265.10±164.16 (61.9%) |
| Cmax (μg/mL) | 0.44±0.18 (39.9%) |
Table 6 Pharmacokinetic parameters of TGC in humans and their variability
| Parameters | TGC (n=10) |
| AUC0-12h (mg·L?1·h) | 2.36±0.51 (21.8%) |
| AUC0-∞ (mg·L?1·h) | 3.57±0.52 (14.7%) |
| T1/2 (h) | 7.71±2.82 (36.5%) |
| CL (L/h) | 22.36±6.42 (28.7%) |
| Vd (L) | 265.10±164.16 (61.9%) |
| Cmax (μg/mL) | 0.44±0.18 (39.9%) |
| Variables | Total (n=72) | Liver injury research sample | Coagulation disorders research sample | |||
| Control group (n=63) | Liver injury group (n=9) | Control group (n=39) | Coagulation disorders group (n=33) | |||
| Age | 72.00 (66.75, 79.00) | 72.00 (66.50, 79.00) | 72.00 (67.00, 77.00) | 72.00 (66.50, 77.50) | 72.00 (67.00, 81.00) | |
| BMI (kg/m2) | 22.65 (19.29, 24.36) | 22.19 (19.23, 23.95) | 23.63 (20.76, 27.29) | 23.59 (20.06, 24.55) | 21.26 (18.61, 23.85) | |
| Treatment/day | 7.93 (5.77, 12.59) | 7.88 (5.83, 12.29) | 8.66 (5.77, 14.27) | 7.98 (5.83, 11.61) | 7.01 (5.77, 12.61) | |
| Blood concentration | 261.06 (161.62, 499.33) | 234.52 (143.98, 340.29) | 845.08 (713.46, 935.40) | 165.30 (117.02, 233.12) | 446.40 (284.70, 713.46) | |
| Gender [n(%)] | ||||||
| Male | 61 (84.72) | 54 (85.71) | 7 (77.78) | 34 (87.18) | 27 (81.82) | |
| Female | 11 (15.28) | 9 (14.29) | 2 (22.22) | 5 (12.82) | 6 (18.18) | |
| Complication [n(%] | ||||||
| Hypertension | 29 (40.28) | 25 (39.68) | 4 (44.44) | 15 (38.46) | 14 (42.42) | |
| Diabetes | 15 (20.83) | 12 (19.05) | 3 (33.33) | 6 (15.38) | 9 (27.27) | |
| CHD | 3 (4.17) | 3 (4.76) | 0 (0.00) | 1 (2.56) | 2 (6.06) | |
| MT | 16 (22.22) | 15 (23.81) | 1 (11.11) | 8 (20.51) | 8 (24.24) | |
| Histology [n(%)] | ||||||
| Drinking | 9 (12.50) | 8 (12.70) | 1 (11.11) | 7 (17.95) | 2 (6.06) | |
| Smoking | 4 (5.56) | 4 (6.35) | 0 (0.00) | 4 (10.26) | 0 (0.00) | |
| Drug combination [n(%)] | ||||||
| Cefoperazone sulbactam | 23 (31.94) | 20 (31.75) | 3 (33.33) | 16 (41.03) | 7 (21.21) | |
| Meropenem | 32 (44.44) | 29 (46.03) | 3 (33.33) | 17 (43.59) | 15 (45.45) | |
| Polymyxin b | 4 (5.56) | 3 (4.76) | 1 (11.11) | 3 (7.69) | 1 (3.03) | |
| Piperacillin sulbactam | 9 (12.50) | 8 (12.70) | 1 (11.11) | 4 (10.26) | 5 (15.15) | |
| Site and type of infection [n(%)] | ||||||
| Lung | 58 (80.56) | 50 (79.37) | 8 (88.89) | 33 (84.62) | 25 (75.76) | |
| Abdominal cavity | 7 (9.72) | 7 (11.11) | 0 (0.00) | 1 (2.56) | 6 (18.18) | |
| Skin | 3 (4.17) | 2 (3.17) | 1 (11.11) | 1 (2.56) | 2 (6.06) | |
| Bacterium [n(%)] | ||||||
| Acinetobacter baumannii | 8 (11.11) | 6 (9.52) | 2 (22.22) | 5 (12.82) | 3 (9.09) | |
| Klebsiella pneumoniae | 8 (11.11) | 7 (11.11) | 1 (11.11) | 4 (10.26) | 4 (12.12) | |
| E. coli | 3 (4.17) | 3 (4.76) | 0 (0.00) | 0 (0.00) | 3 (9.09) | |
| Staphylococcus aureus | 2 (2.78) | 2 (3.17) | 0 (0.00) | 2 (5.13) | 0 (0.00) | |
| AST (U/L) | 14.30 (8.45, 26.00) | 14.40 (8.90, 25.00) | 13.50 (4.70, 32.30) | 15.00 (9.00, 22.95) | 13.60 (7.50, 32.80) | |
| ALP (U/L) | 82.00 (58.27, 117.00) | 75.30 (55.60, 117.00) | 99.00 (82.00, 106.00) | 82.00 (62.00, 117.00) | 78.00 (54.20, 106.00) | |
| TBIL (μmol/L) | 4.75 (3.18, 7.93) | 4.80 (3.35, 7.95) | 3.90 (2.70, 4.80) | 4.30 (3.10, 7.95) | 4.80 (3.20, 7.40) | |
| PLT (109/L) | 184.00 (125.25, 269.50) | 184.00 (124.50, 251.50) | 165.00 (131.00, 303.00) | 184.00 (121.00, 274.50) | 174.00 (131.00, 234.00) | |
| FIB (g/L) | 4.54 (3.26, 6.19) | 4.56 (3.16, 6.04) | 4.52 (3.63, 6.58) | 5.06 (3.59, 6.68) | 4.29 (3.07, 5.32) | |
| PT (s) | 12.00 (11.00, 13.20) | 12.10 (11.05, 13.38) | 11.60 (10.90, 12.90) | 11.90 (10.85, 13.78) | 12.20 (11.60, 13.10) | |
| APTT (s) | 26.05 (23.37, 29.83) | 26.00 (23.35, 29.65) | 27.10 (23.70, 29.80) | 26.30 (23.40, 31.10) | 25.90 (23.40, 28.60) | |
| INR | 1.05 (0.95, 1.16) | 1.05 (0.95, 1.16) | 1.01 (0.95, 1.13) | 1.05 (0.94, 1.33) | 1.06 (1.01, 1.13) | |
Table 7 Basic information and general clinical characteristics of the two groups of patients
| Variables | Total (n=72) | Liver injury research sample | Coagulation disorders research sample | |||
| Control group (n=63) | Liver injury group (n=9) | Control group (n=39) | Coagulation disorders group (n=33) | |||
| Age | 72.00 (66.75, 79.00) | 72.00 (66.50, 79.00) | 72.00 (67.00, 77.00) | 72.00 (66.50, 77.50) | 72.00 (67.00, 81.00) | |
| BMI (kg/m2) | 22.65 (19.29, 24.36) | 22.19 (19.23, 23.95) | 23.63 (20.76, 27.29) | 23.59 (20.06, 24.55) | 21.26 (18.61, 23.85) | |
| Treatment/day | 7.93 (5.77, 12.59) | 7.88 (5.83, 12.29) | 8.66 (5.77, 14.27) | 7.98 (5.83, 11.61) | 7.01 (5.77, 12.61) | |
| Blood concentration | 261.06 (161.62, 499.33) | 234.52 (143.98, 340.29) | 845.08 (713.46, 935.40) | 165.30 (117.02, 233.12) | 446.40 (284.70, 713.46) | |
| Gender [n(%)] | ||||||
| Male | 61 (84.72) | 54 (85.71) | 7 (77.78) | 34 (87.18) | 27 (81.82) | |
| Female | 11 (15.28) | 9 (14.29) | 2 (22.22) | 5 (12.82) | 6 (18.18) | |
| Complication [n(%] | ||||||
| Hypertension | 29 (40.28) | 25 (39.68) | 4 (44.44) | 15 (38.46) | 14 (42.42) | |
| Diabetes | 15 (20.83) | 12 (19.05) | 3 (33.33) | 6 (15.38) | 9 (27.27) | |
| CHD | 3 (4.17) | 3 (4.76) | 0 (0.00) | 1 (2.56) | 2 (6.06) | |
| MT | 16 (22.22) | 15 (23.81) | 1 (11.11) | 8 (20.51) | 8 (24.24) | |
| Histology [n(%)] | ||||||
| Drinking | 9 (12.50) | 8 (12.70) | 1 (11.11) | 7 (17.95) | 2 (6.06) | |
| Smoking | 4 (5.56) | 4 (6.35) | 0 (0.00) | 4 (10.26) | 0 (0.00) | |
| Drug combination [n(%)] | ||||||
| Cefoperazone sulbactam | 23 (31.94) | 20 (31.75) | 3 (33.33) | 16 (41.03) | 7 (21.21) | |
| Meropenem | 32 (44.44) | 29 (46.03) | 3 (33.33) | 17 (43.59) | 15 (45.45) | |
| Polymyxin b | 4 (5.56) | 3 (4.76) | 1 (11.11) | 3 (7.69) | 1 (3.03) | |
| Piperacillin sulbactam | 9 (12.50) | 8 (12.70) | 1 (11.11) | 4 (10.26) | 5 (15.15) | |
| Site and type of infection [n(%)] | ||||||
| Lung | 58 (80.56) | 50 (79.37) | 8 (88.89) | 33 (84.62) | 25 (75.76) | |
| Abdominal cavity | 7 (9.72) | 7 (11.11) | 0 (0.00) | 1 (2.56) | 6 (18.18) | |
| Skin | 3 (4.17) | 2 (3.17) | 1 (11.11) | 1 (2.56) | 2 (6.06) | |
| Bacterium [n(%)] | ||||||
| Acinetobacter baumannii | 8 (11.11) | 6 (9.52) | 2 (22.22) | 5 (12.82) | 3 (9.09) | |
| Klebsiella pneumoniae | 8 (11.11) | 7 (11.11) | 1 (11.11) | 4 (10.26) | 4 (12.12) | |
| E. coli | 3 (4.17) | 3 (4.76) | 0 (0.00) | 0 (0.00) | 3 (9.09) | |
| Staphylococcus aureus | 2 (2.78) | 2 (3.17) | 0 (0.00) | 2 (5.13) | 0 (0.00) | |
| AST (U/L) | 14.30 (8.45, 26.00) | 14.40 (8.90, 25.00) | 13.50 (4.70, 32.30) | 15.00 (9.00, 22.95) | 13.60 (7.50, 32.80) | |
| ALP (U/L) | 82.00 (58.27, 117.00) | 75.30 (55.60, 117.00) | 99.00 (82.00, 106.00) | 82.00 (62.00, 117.00) | 78.00 (54.20, 106.00) | |
| TBIL (μmol/L) | 4.75 (3.18, 7.93) | 4.80 (3.35, 7.95) | 3.90 (2.70, 4.80) | 4.30 (3.10, 7.95) | 4.80 (3.20, 7.40) | |
| PLT (109/L) | 184.00 (125.25, 269.50) | 184.00 (124.50, 251.50) | 165.00 (131.00, 303.00) | 184.00 (121.00, 274.50) | 174.00 (131.00, 234.00) | |
| FIB (g/L) | 4.54 (3.26, 6.19) | 4.56 (3.16, 6.04) | 4.52 (3.63, 6.58) | 5.06 (3.59, 6.68) | 4.29 (3.07, 5.32) | |
| PT (s) | 12.00 (11.00, 13.20) | 12.10 (11.05, 13.38) | 11.60 (10.90, 12.90) | 11.90 (10.85, 13.78) | 12.20 (11.60, 13.10) | |
| APTT (s) | 26.05 (23.37, 29.83) | 26.00 (23.35, 29.65) | 27.10 (23.70, 29.80) | 26.30 (23.40, 31.10) | 25.90 (23.40, 28.60) | |
| INR | 1.05 (0.95, 1.16) | 1.05 (0.95, 1.16) | 1.01 (0.95, 1.13) | 1.05 (0.94, 1.33) | 1.06 (1.01, 1.13) | |
Fig.4 (A) Comparison of blood drug concentration in the normal group-hepatic injury group; (B) Comparison of blood drug concentration in the normal group-coagulation disorder group; (C) ROC plot of TGC-induced coagulation dysfunction versus the sixth shot blood concentration; (D) ROC plot of TGC-induced liver injury versus the sixth shot blood concentration. **P<0.01.
| 1 |
Mohamed RAE, Moustafa NM, Mahmoud FM, et al. Whole-genome sequencing of two multidrug-resistant Acinetobacter baumannii strains isolated from a neonatal intensive care unit in Egypt: a prospective cross-sectional study[J]. BMC Microbiol, 2024, 24, 362.
doi: 10.1186/s12866-024-03482-3 |
| 2 |
Korczak L, Majewski P, Rombel K, et al. In vitro evaluation of tigecycline synergy testing with nine antimicrobial agents against Enterobacter cloacae clinical strains[J]. Front Microbiol, 2024, 15, 1490032.
doi: 10.3389/fmicb.2024.1490032 |
| 3 |
Fan XY, Jiang Y, Wu H, et al. Distribution and spread of tigecycline resistance gene tet(X4) in Escherichia coli from different sources[J]. Front Cell Infect Microbiol, 2024, 14, 1399732.
doi: 10.3389/fcimb.2024.1399732 |
| 4 |
Shi X, Lao D, Xu Q, et al. A case report of drug-induced liver injury after tigecycline administration: histopathological evidence and a probable causality grading as assessed by the updated RUCAM diagnostic scale[J]. BMC Infect Dis, 2022, 22, 368.
doi: 10.1186/s12879-022-07258-w |
| 5 |
Li M, He J, Dong G, et al. Serum concentration threshold and risk factors of tigecycline-induced hypofibrinogenaemia in critically ill patients[J]. J Antimicrob Chemother, 2025, 80 (1): 200- 208.
doi: 10.1093/jac/dkae396 |
| 6 |
Shi X, Zuo C, Yu L, et al. Real-world data of tigecycline-associated drug-induced liver injury among patients in China: a 3-year retrospective study as assessed by the updated RUCAM[J]. Front Pharmacol, 2021, 12, 761167.
doi: 10.3389/fphar.2021.761167 |
| 7 |
Ma C, Ren X, Pang N, et al. Incidence, characteristics, and risk factors of hypofibrinogenemia induced by generic tigecycline: a retrospective study[J]. Naunyn Schmiedebergs Arch Pharmacol, 2025, 398 (3): 2717- 2727.
doi: 10.1007/s00210-024-03419-7 |
| 8 | Qian Z, Jine W, Hui L, et al. Risk factors for tigecycline-induced hypofibrinogenaemia[J]. J Clin Pharm Ther, 2020, 45 (6): 1434- 1441. |
| 9 |
Cui N, Cai H, Li Z, et al. Tigecycline-induced coagulopathy: a literature review[J]. Int J Clin Pharm, 2019, 41 (6): 1408- 1413.
doi: 10.1007/s11096-019-00912-5 |
| 10 |
Yu M, Wu S, Qi B, et al. Rational use of tigecycline and tigecycline blood concentration monitoring in patients with severe infection[J]. Biomed Rep, 2023, 19 (2): 51.
doi: 10.3892/br.2023.1634 |
| 11 |
Wang C, Luo B, Liu W, et al. Development and clinical utility of an ultra performance liquid chromatography–tandem mass spectrometry assay for monitoring omadacycline and tigecycline in severe bacterial infections[J]. J Mass Spectrom Adv Clin Lab, 2024, 34, 46- 54.
doi: 10.1016/j.jmsacl.2024.11.001 |
| 12 |
Galvidis IA, Surovoy YA, Tsarenko SV, et al. Tigecycline immunodetection using developed group-specific and selective antibodies for drug monitoring purposes[J]. Biosensors, 2023, 13 (3): 343.
doi: 10.3390/bios13030343 |
| 13 |
Atallah E, Wooten JW, Orman OC, et al. Incidence, risk factors and outcomes of checkpoint inhibitor-induced liver injury: a 10-year real-world retrospective cohort study[J]. JHEP Rep, 2023, 5 (10): 100851.
doi: 10.1016/j.jhepr.2023.100851 |
| 14 |
Ciricillo J, Myer A, Yeboah-Korang AY, et al. Improving the diagnostic accuracy of RECAM in North American patients with suspected idiosyncratic drug-induced liver injury[J]. Am J Gastroenterol, 2025, 120 (6): 1325- 1333.
doi: 10.14309/ajg.0000000000003147 |
| 15 |
Mahdavijalal M, Petio C, Staffilano G, et al. Innovative solid-phase extraction strategies for improving the advanced chromatographic determination of drugs in challenging biological samples[J]. Molecules, 2024, 29 (10): 2278.
doi: 10.3390/molecules29102278 |
| 16 |
Paul R, Ostermann E, Wei Q. Advances in point-of-care nucleic acid extraction technologies for rapid diagnosis of human and plant diseases[J]. Biosens Bioelectron, 2020, 169, 112592.
doi: 10.1016/j.bios.2020.112592 |
| 17 | Ruiz J, Ramirez P, Villarreal E, et al. Effect of pharmacokinetic/pharmacodynamic ratio on tigecycline clinical response and toxicity in critically ill patients with multidrug-resistant Gram-negative infections [J]. SAGE Open Med, 2020, 8: 2050312120958897. |
| 18 |
Liu YX, Le KJ, Shi HY, et al. Efficacy and safety of tigecycline for complicated urinary tract infection: a systematic review[J]. Transl Androl Urol, 2021, 10 (1): 292- 299.
doi: 10.21037/tau-20-959 |
| 19 |
Chen Z, Shi X. Adverse events of high-dose tigecycline in the treatment of ventilator-associated pneumonia due to multidrug-resistant pathogens[J]. Medicine (Baltimore), 2018, 97 (38): e12467.
doi: 10.1097/md.0000000000012467 |
| 20 |
Guo M, Liang J, Li D, et al. Coagulation dysfunction events associated with tigecycline: a real-world study from FDA adverse event reporting system (FAERS) database[J]. Thromb J, 2022, 20 (1): 12.
doi: 10.1186/s12959-022-00369-z |
| 21 |
Lei Z, Chen X, Pan F, et al. Comparison of bleeding risk and hypofibrinogenemia-associated risk factors between tigecycline with cefoperazone/sulbactam therapy and other tigecycline-based combination therapies[J]. Front Pharmacol, 2023, 14, 1182644.
doi: 10.3389/fphar.2023.1182644 |
| 22 |
Leng B, Xue YC, Zhang W, et al. A retrospective analysis of the effect of tigecycline on coagulation function[J]. Chem Pharm Bull, 2019, 67 (3): 258- 264.
doi: 10.1248/cpb.c18-00844 |
| 23 |
Yu Z, Zhao Y, Jin J, et al. Prevalence and risk factors of tigecycline-induced liver injury: a multicenter retrospective study[J]. Int J Infect Dis, 2022, 120, 59- 64.
doi: 10.1016/j.ijid.2022.04.024 |
| 24 |
Jiang T, He X, Li Q, et al. Risk factors for tigecycline-associated hepatotoxicity in patients in the intensive care units of two tertiary hospitals: a retrospective study[J]. J Clin Pharmacol, 2022, 62 (11): 1426- 1434.
doi: 10.1002/jcph.2099 |
| 25 |
Liu J, Yan Y, Zhang F. Risk factors for tigecycline-associated hypofibrinogenemia[J]. Ther Clin Risk Manag, 2021, 17, 325- 332.
doi: 10.2147/TCRM.S302850 |
| 26 |
Guo J, Wang S, Zhou M, et al. Nomogram for the prediction of tigecycline-induced hypofibrinogenaemia in a Chinese population[J]. Int J Antimicrob Agents, 2024, 63 (2): 107062.
doi: 10.1016/j.ijantimicag.2023.107062 |
| 27 |
Su W, Song S, Liu J, et al. Population pharmacokinetics and individualized dosing of tigecycline for critically ill patients: a prospective study with intensive sampling[J]. Front Pharmacol, 2024, 15, 1342947.
doi: 10.3389/fphar.2024.1342947 |
| 28 |
Taubert M, Wicha SG, Frey OR, et al. Tigecycline in critically ill patients on continuous renal replacement therapy: a population pharmacokinetic study[J]. Crit Care, 2018, 22 (1): 341.
doi: 10.1186/s13054-018-2278-4 |
| 29 |
Burón C, Hernández M, Cazorla M, et al. Tigecycline population pharmacokinetics in critically ill patients with decompensated cirrhosis and severe infections[J]. J Antimicrob Chemother, 2022, 77 (5): 1332- 1338.
doi: 10.1093/jac/dkac036 |
| 30 |
Zhou CC, Huang F, Zhang JM, et al. Population pharmacokinetics of tigecycline: a systematic review[J]. Drug Des Devel Ther, 2022, 16, 1885- 1896.
doi: 10.2147/DDDT.S365512 |
| 31 |
Cojutti P, Giangreco M, Isola M, et al. Limited sampling strategies for determining the area under the plasma concentration–time curve for isoniazid might be a valuable approach for optimizing treatment in adult patients with tuberculosis[J]. Int J Antimicrob Agents, 2017, 50 (1): 23- 28.
doi: 10.1016/j.ijantimicag.2017.01.036 |
| 32 |
Misaka S, Maejima Y, Shimomura K. Limited sampling strategy for predicting the area under plasma concentration–time curve of nadolol in healthy subjects[J]. J Clin Pharmacol, 2024, 65 (5): 621- 627.
doi: 10.1002/jcph.6164 |
| 33 |
Chen Q, Thompson J, Hu Y, et al. High-dose metformin treatment to inhibit complex I during early reperfusion protects the aged mouse heart via decreased mitochondrial permeability transition pore opening[J]. J Pharmacol Exp Ther, 2024, 392 (3): 100529.
doi: 10.1016/j.jpet.2024.100529 |
| [1] | Xinxin YIN, Changpeng XIE, Xuejing LI, Liping ZHANG, Zhanhai SU, Haiyan WANG, Qiong WU, Yuanming PAN, Juan AN. Mechanism of stem cell exosome-mediated repair of hepatocyte injury via mitochondrial and fatty acid metabolism [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(9): 1162-1172. |
| [2] | Xi YE, Yiqiao LIU, Xuanyu WU, Yiqi WANG, Fan LI, Hongyu LI, Xiangyun MENG, Fengling WANG. Equivalence study of dapagliflozin metformin extended-release tablets in healthy subjects in China [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(9): 1231-1237. |
| [3] | Ying WU, Zhiwei XU, Huafang LI, Yifeng SHEN, Zhiwei HUANG, Yan LI. Pharmacokinetics and safety study of single and multiple doses of icosapent ethyl in healthy Chinese subjects [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(8): 1070-1075. |
| [4] | Jianxin YANG, Yunli YU. Pharmacokinetic/pharmacodynamic characteristics of adalimumab in moderate-to-severe psoriasis and its therapeutic drug monitoring applications [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(7): 921-927. |
| [5] | Zexuan TIAN, Shizhuo LIU, Linan WANG, Yutian ZHANG, Yingchao MA, Xiuling YANG. Research progress in pharmacokinetics and pharmacodynamics of polymyxin B in special populations [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(4): 568-576. |
| [6] | Ke ZHANG, Ziting LI, Fofo JIANG, Feng ZHAO, Yinling MA, Guoxun PANG. Effect of Dan-Lou tablets on the pharmacokinetics and pharmacodynamics of atorvastatin in high-fat diet-fed rats [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(3): 324-336. |
| [7] | Weichen WANG, Yaping MA, Meng WANG, Qinglin LI, Hui CHENG. Therapeutic effect of emodin on cholestatic liver injury in mice based on CYP7A1 / FXR / SHP pathway [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(2): 204-212. |
| [8] | Yuan LIU, Cheng CUI, Miao YU, Wenyu JIN, Yinliang BAI, Yabin DUAN, Cao FANG, Jianchang HE, Yan HE, Hua HUANG, Shixia HUO, Yang JIN, Lin JIANG, Zhe JIANG, Zheng JIAO, Xuejun LI, Xiangyang LI, Hongjian LI, Lihong LIU, Yang LIU, Hongqiang QIU, Feng SUN, Jianjun SUN, Xuechang WANG, Jianhua WANG, Zhenlei WANG, Shijie WEI, Xiaowen YAN, Lei ZHANG, Xuenong ZHANG, Yuxin ZHANG, Jun ZHAO, Jiye YIN, Ru YAN, Xinchun WANG, Dongyang LIU. Expert consensus on the value and strategies of precise drug administration for multi-ethnic populations in China [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(1): 1-13. |
| [9] | Jing XIE, Xiaoni WANG, Jie MIN, Min LIU, Xu ZHU, Wang HU, Chang LU, Ran ZHANG, Huan ZHOU, Jian GONG. Study on bioequivalence evaluation of daclatasvir hydrochloride tablets in healthy Chinese subjects [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2026, 31(1): 55-62. |
| [10] | WANG Yan, XIA Yuming, ZHU Rendi, OUYANG Ziwei, CHENG Yuanzhi, ZHOU Renpeng, HU Wei. Bioequivalence of ritonavir tablets in healthy Chinese volunteers [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2025, 30(9): 1193-1199. |
| [11] | WEI Yuanyuan1, MA Tao1, TANG Yuezhou1, LI Hubo1, 2, TIAN Xiaoyu1, 2, DANG Yunjie1, ZHOU Xu1. Individualized dosage study of vitamin D3 based on physiologically-based pharmacokinetic modeling [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2025, 30(8): 1067-1075. |
| [12] | ZENG Xiangchang1, 2, 3, 4, 5, 7, RAO Tai1, 3, 4, 5, CHEN Lulu2, LI Chaopeng2, ZENG Guirong6, CHEN Jun7, OUYANG Dongsheng1, 2, 3, 4, 5. Advances in immunogenetic mechanisms of drug-induced liver injury [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2025, 30(8): 1133-1146. |
| [13] | HE Yiran, HE Yang, DENG Guoyan, FAN Zhiqiang, TANG Zizhao, WEI Feng, OUYANG Linqi. Osthole protects APAP-induced liver injury in mice by inhibiting the TGF-β1/Smad pathway through upregulation of Tif1γ [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2025, 30(7): 889-898. |
| [14] | WU Hao, JIANG Pin, ZHENG Wei, ZHANG Yu, ZUO Jian. Determination of concentration and pharmacokinetics of protein degradation targeted chimeric drug ARV-471 in mice by LC-MS/MS [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2025, 30(6): 774-780. |
| [15] | TIAN Yan, YANG Xinyi, LIN Shuangshuang, HE Jinjie, WANG Jingjing, WEI Qiong, HUANG Xingxing, WU Xiaojie. Study on safety, pharmacokinetics, and pharmacodynamics of YZJ-3058 tablets for single oral administration in healthy Chinese subjects [J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2025, 30(6): 796-803. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||