1.Relationship between SIRT1 and ferroptosis during curcumin-induced reduction of acute lung injury in a mouse model of sepsis
Dahao LU ; Tianfeng HUANG ; Yang ZHANG ; Keshi YAN ; Ju GAO
Chinese Journal of Anesthesiology 2023;43(4):450-454
Objective:To evaluate the relationship between silent information regulator 1 (SIRT1) and ferroptosis during curcumin-induced reduction of acute lung injury in a mouse model of sepsis.Methods:One hundred and fifty-two SPF-grade male C57BL/6J mice, aged 8 weeks, weighing 23-27 g, were divided into 4 groups ( n=38 each) using a random number table method: sham operation group (C group), sepsis group (S group), curcumin group (Cur group) and curcumin plus SIRT1 inhibitor EX527 group (CE group). Curcumin 200 mg/kg was administered by intragastric gavage every day in Cur group. Curcumin 200 mg/kg was administered by intragastric gavage every day and EX527 5 mg/kg was intraperitoneally injected in CE group. The equal volume of solvent dimethyl sulfoxide (DMSO) was given in C group and S group. Sepsis model was developed by cecal ligation and puncture (CLP) after 5 days of consecutive administration in anesthetized animals. Twenty mice in each group were randomly selected to observe the survival condition within 7 days after CLP. The bronchoalveolar lavage fluid (BALF) was collected at 24 h after developing the model to determine the concentrations of tumor necrosis factor-alpha (TNF-α), interleukin-1beta (IL-1β), IL-6 and IL-18 (by enzyme-linked immunosorbent assay), and the lung tissues were obtained for microscopic examination of the pathological changes which were scored and for determination of wet-to-dry lung weight (W/D) ratio, contents of glutathione (GSH), malondialdehyde (MDA) and iron (by colorimetry), and expression of SIRT1, glutathione peroxidase 4 (GPX4) and Acyl-CoA synthetase long chain family member 4 (ACSL4) (by Western blot). Results:Compared with C group, the 7-day survival rate after CLP was significantly decreased, the concentrations of TNF-α, IL-1β, IL-6 and IL-18 in BALF, W/D ratio and lung injury score were increased, the content of GSH in lung tissues was decreased, the contents of MDA and iron were increased, the expression of SIRT1 and GPX4 was down-regulated, and the expression of ACSL4 was up-regulated in S group ( P<0.05). Compared with S group, the 7-day survival rate after CLP was significantly increased, the concentrations of TNF-α, IL-1β, IL-6 and IL-18 in BALF, W/D ratio and lung injury score were decreased, the content of GSH was increased, the contents of MDA and iron were decreased, the expression of SIRT1 and GPX4 was up-regulated, and the expression of ACSL4 was down-regulated in Cur group ( P<0.05). Compared with Cur group, the 7-day survival rate after CLP was significantly decreased, the concentrations of TNF-α, IL-1β, IL-6 and IL-18 in BALF, W/D ratio and lung injury score were increased, the content of GSH was decreased, the contents of MDA and iron were increased, the expression of SIRT1 and GPX4 was down-regulated, and the expression of ACSL4 was up-regulated in CE group ( P<0.05). Conclusions:The mechanism by which curcumin attenuates acute lung injury may be related to activation of SIRT1 and further inhibition of ferroptosis in mice.
2.Effect of ventilation with different positive end-expiratory pressures on intracranial pressure in patients undergoing gynecological laparoscopic surgery
Yujuan WU ; Yang ZHANG ; Jueying ZHENG ; Keshi YAN ; Ke LUO ; Xue DONG ; Ju GAO
Chinese Journal of Anesthesiology 2018;38(10):1230-1233
Objective To evaluate the effect of ventilation with different positive end-expiratory pressures (PEEPs) on intracranial pressure in the patients undergoing gynecological laparoscopic surgery.Methods Sixty American Society of Anesthesiologists physical status Ⅰ or Ⅱ patients,aged 25-55 yr,with body mass index of 18-27 kg/m2,scheduled for elective gynecological endoscopic surgery,were divided into 3 groups (n=20 each) using a random number table method:routine ventilation group (group A),4 cmH2O PEEP group (group B) and 8 cmH2O PEEP group (group C).The patients were mechanically ventilated with PEEP 4 or 8 cmH2O at 5 min of head-down tilt after start of pneumoperitoneum in group B and group C.The patients were mechanically ventilated in volume-controlled mode,with tidal volume 7 ml/kg,inspired oxygen concentration 50% and inspiratory/expiratory ratio 1 ∶ 2.Blood samples were collected from the radial artery for measurement of PaCO2 and PaO2 at 5 min after tracheal intubation (T0),5,15 and 30 min of head-down tilt (T1-3),and 5 min of the supine position after the end of pneumoperitoneum (T4).The peak airway pressure (Ppeak) was recorded,dynamic pulmonary compliance (Cdyn)was calculated,and optic nerve sheath diameter was measured using an ultrasonic apparatus at T0-4.Cognitive function was assessed at 1 day before surgery and 7 days after surgery using Mini-Mental State Examination.Results Compared with group A,Ppeak was significantly increased at T1-4,and PaO2 was increased at T2 in group B,and Ppeak and PaO2 were increased at T1-4,and Cdyn was increased at T1,2 in group C (P<0.05).Compared with group B,Ppeak was significantly increased at T4,and Cdyn was increased at T2 in group C (P<0.05).There was no significant difference in optic nerve sheath diameter or Mini-Mental State Examination score at each time point among three groups (P>0.05).No patients developed cognitive dysfunction at 7 days after surgery in three groups.Conclusion Ventilation with different PEEPs causes no increase in intracranial pressure of the patients undergoing gynecological laparoscopic surgery.
3.Feasibility of utilizing artificial intelligence to assist junior anesthesia residents in making preoperative anesthesia plans
Lin LI ; Ju GAO ; Yali GE ; Tingting ZHANG ; Keshi YAN
Chinese Journal of Anesthesiology 2024;44(4):461-465
Objective:To evaluate the feasibility of utilizing artificial intelligence (AI) to assist junior anesthesia residents in making the preoperative anesthesia plans.Methods:Forty anesthesia residents in their third year of training, who had obtained their practicing physician qualifications in the Yangzhou area, were assigned into 4 groups ( n=10 each) using a random number table method: Chat-GPT combined with Bing chat group (C-G-B group), Chat-GPT group (C-G group), Bing chat group (B group), and control group (C group). Fifty patients undergoing elective non-cardiac surgery were selected from the anesthesia clinic as teaching cases. C-G-B, C-G and B groups utilized different AI tools to assist trainees in designing anesthesia plans, producing standardized textual outputs. Each trainee underwent a baseline knowledge test through a professional theory examination prior to enrollment. The completeness and accuracy of the preoperative anesthesia plans were evaluated and scored by 3 chief anesthesiologists. The total time spent on plan formulation and satisfaction scores regarding AI tool feedback were recorded. An analysis was conducted based on the American Society of Anesthesiologists (ASA) Physical Status classification of teaching cases. Results:In ASA Physical Status classification Ⅰ and Ⅱ teaching cases, there was no statistically significant difference in completeness and accuracy scores among the four groups ( P>0.05). In ASA Physical Status classification Ⅲ teaching cases, compared to C group, the completeness and accuracy scores were significantly increased in C-G-B, C-G and B groups, with the highest scores observed in C-G-B group ( P<0.05). Among all teaching cases (ASA Physical Status classification Ⅰ-Ⅲ), the total time spent was significantly shortened in C-G and B groups as compared to C and C-G-B groups ( P<0.05). There was no statistically significant difference in the total time spent between C-G group and C-G-B group ( P>0.05). Compared to C-G and B groups, the satisfaction score was significantly decreased in C-G-B group ( P<0.05). Conclusions:For ASA Physical Status classification Ⅲ patients, using AI to assist junior anesthesia residents in making preoperative anesthesia plans may offer advantages. Although combining the use of Chat-GPT and Bing chat can further improve the completeness and accuracy of anesthesia plan development, it may require more time.