Patients with new-onset atrial fibrillation in sepsis have a high mortality rate and poor prognosis. At present, the pathogenesis of new-onset atrial fibrillation in sepsis has not been fully elucidated. Studies have shown that both sepsis and atrial fibrillation are closely related to NOD-like receptor protein 3 (NLRP3). NLRP3 inflammasome can not only induce the activation of caspase-1 and the subsequent release of cellular pro-inflammatory factors, but also participate in the occurrence and development of sepsis and promote the occurrence and development of atrial fibrillation. It is concluded that the NLRP3 inflammasome may play an important role in the occurrence and development of new-onset atrial fibrillation in sepsis. This paper summarized the current research progress on the structure and function of the NLRP3 inflammasome, its role in sepsis, its mechanism in promoting atrial fibrillation, the relationship between the NLRP3 inflammasome and new-onset atrial fibrillation in sepsis, the feasibility of studying new-onset atrial fibrillation in sepsis, and potential therapeutic targets for new-onset atrial fibrillation in sepsis. This review aims to provide a theoretical basis for future research on the mechanisms by which the NLRP3 inflammasome promotes new-onset atrial fibrillation in sepsis and possible therapeutic targets.

OBJECTIVE: To study the development of surgical robots at home and abroad in recent years. METHODS: Through a large number of literature review and analysis, the qualification approval and technical function characteristics of domestic and foreign surgical robots from January 2019 to July 2022 were analyzed. RESULTS: The related situations of 39 surgical robots were analyzed and reported, and the shortcomings and future development direction of the current surgical robots were summarized. CONCLUSIONS The development of surgical robots in China is now in a rapid development stage. At present, surgical robots generally have the disadvantages of high cost, lack of tactile feedback (force feedback), large size, large space occupation and difficult to move. In the future, it will develop towards intelligent, miniaturized, remote, open and low-cost.
China ; Robotics ; Robotic Surgical Procedures

Methamphetamine (Meth) abuse can cause serious mental disorders, including anxiety and depression. The gut microbiota is a crucial contributor to maintaining host mental health. Here, we aim to investigate if microbiota participate in Meth-induced mental disorders, and the potential mechanisms involved. Here, 15 mg/kg Meth resulted in anxiety- and depression-like behaviors of mice successfully and suppressed the Sigma-1 receptor (SIGMAR1)/BDNF/TRKB pathway in the hippocampus. Meanwhile, Meth impaired gut homeostasis by arousing the Toll-like receptor 4 (TLR4)-related colonic inflammation, disturbing the gut microbiome and reducing the microbiota-derived short-chain fatty acids (SCFAs). Moreover, fecal microbiota from Meth-administrated mice mediated the colonic inflammation and reproduced anxiety- and depression-like behaviors in recipients. Further, SCFAs supplementation optimized Meth-induced microbial dysbiosis, ameliorated colonic inflammation, and repressed anxiety- and depression-like behaviors. Finally, Sigmar1 knockout (Sigmar1^-/-) repressed the BDNF/TRKB pathway and produced similar behavioral phenotypes with Meth exposure, and eliminated the anti-anxiety and -depression effects of SCFAs. The activation of SIGMAR1 with fluvoxamine attenuated Meth-induced anxiety- and depression-like behaviors. Our findings indicated that gut microbiota-derived SCFAs could optimize gut homeostasis, and ameliorate Meth-induced mental disorders in a SIGMAR1-dependent manner. This study confirms the crucial role of microbiota in Meth-related mental disorders and provides a potential preemptive therapy.

BACKGROUND: T-cell immunoreceptor with immunoglobulin and immunoreceptor tyrosine-based inhibition motif domains (TIGIT), an inhibitory receptor expressed on T cells, plays a dysfunctional role in antiviral infection and antitumor activity. However, it is unknown whether TIGIT expression on T cells influences the immunological effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) inactivated vaccines. METHODS: Forty-five people living with HIV (PLWH) on antiretroviral therapy (ART) for more than two years and 31 healthy controls (HCs), all received a third dose of a SARS-CoV-2 inactivated vaccine, were enrolled in this study. The amounts, activation, proportion of cell subsets, and magnitude of the SARS-CoV-2-specific immune response of TIGIT + CD4 + and TIGIT + CD8 + T cells were investigated before the third dose but 6 months after the second vaccine dose (0W), 4 weeks (4W) and 12 weeks (12W) after the third dose. RESULTS: Compared to that in HCs, the frequency of TIGIT + CD8 + T cells in the peripheral blood of PLWH increased at 12W after the third dose of the inactivated vaccine, and the immune activation of TIGIT + CD8 + T cells also increased. A decrease in the ratio of both T naïve (T N ) and central memory (T CM ) cells among TIGIT + CD8 + T cells and an increase in the ratio of the effector memory (T EM ) subpopulation were observed at 12W in PLWH. Interestingly, particularly at 12W, a higher proportion of TIGIT + CD8 + T cells expressing CD137 and CD69 simultaneously was observed in HCs than in PLWH based on the activation-induced marker assay. Compared with 0W, SARS-CoV-2-specific TIGIT + CD8 + T-cell responses in PLWH were not enhanced at 12W but were enhanced in HCs. Additionally, at all time points, the SARS-CoV-2-specific responses of TIGIT + CD8 + T cells in PLWH were significantly weaker than those of TIGIT - CD8 + T cells. However, in HCs, the difference in the SARS-CoV-2-specific responses induced between TIGIT + CD8 + T cells and TIGIT - CD8 + T cells was insignificant at 4W and 12W, except at 0W. CONCLUSIONS TIGIT expression on CD8 + T cells may hinder the T-cell immune response to a booster dose of an inactivated SARS-CoV-2 vaccine, suggesting weakened resistance to SARS-CoV-2 infection, especially in PLWH. Furthermore, TIGIT may be used as a potential target to increase the production of SARS-CoV-2-specific CD8 + T cells, thereby enhancing the effectiveness of vaccination.
Humans ; Antibodies, Viral ; CD8-Positive T-Lymphocytes ; COVID-19/complications* ; COVID-19 Vaccines/immunology* ; HIV Infections/complications* ; Receptors, Immunologic ; SARS-CoV-2

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine can induce a potent cellular and humoral immune response to protect against SARS-CoV-2 infection. However, it was unknown whether SARS-CoV-2 vaccination can induce effective natural killer (NK) cell response in people living with human immunodeficiency virus (PLWH) and healthy individuals. METHODS: Forty-seven PLWH and thirty healthy controls (HCs) inoculated with SARS-CoV-2 inactivated vaccine were enrolled from Beijing Youan Hospital in this study. The effect of SARS-CoV-2 vaccine on NK cell frequency, phenotype, and function in PLWH and HCs was evaluated by flow cytometry, and the response of NK cells to SARS-CoV-2 Omicron Spike (SARS-2-OS) protein stimulation was also evaluated. RESULTS: SARS-CoV-2 vaccine inoculation elicited activation and degranulation of NK cells in PLWH, which peaked at 2 weeks and then decreased to a minimum at 12 weeks after the third dose of vaccine. However, in vitro stimulation of the corresponding peripheral blood monocular cells from PLWH with SARS-2-OS protein did not upregulate the expression of the aforementioned markers. Additionally, the frequencies of NK cells expressing the activation markers CD25 and CD69 in PLWH were significantly lower than those in HCs at 0, 4 and 12 weeks, but the percentage of CD16 + NK cells in PLWH was significantly higher than that in HCs at 2, 4 and 12 weeks after the third dose of vaccine. Interestingly, the frequency of CD16 + NK cells was significantly negatively correlated with the proportion of CD107a + NK cells in PLWH at each time point after the third dose. Similarly, this phenomenon was also observed in HCs at 0, 2, and 4 weeks after the third dose. Finally, regardless of whether NK cells were stimulated with SARS-2-OS or not, we did not observe any differences in the expression of NK cell degranulation markers between PLWH and HCs. CONCLUSION s:SARS-CoV-2 vaccine elicited activation and degranulation of NK cells, indicating that the inoculation of SARS-CoV-2 vaccine enhances NK cell immune response.
Humans ; COVID-19 Vaccines/therapeutic use* ; COVID-19 ; SARS-CoV-2 ; Killer Cells, Natural ; HIV Infections ; Antibodies, Viral

Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.

Objective:To investigate the risk factors of surgical site infection (SSI) after colorectal surgery, and to establish and validate a risk prediction model nomogram.Methods:An observational study was conducted to retrospectively collect data of 6527 patients aged ≥16 years who underwent colorectal surgery in 56 domestic hospitals from March 1, 2021 to February 28, 2022 from the national Surgical Site Infection Surveillance network. The incidence of SSI after surgery was 2.3% (149/6527). According to the ratio of 7:3, 6527 patients were randomly divided into the modeling cohort (4568 cases) and the validation cohort (1959 cases), and there was no statistically significant difference between the two datasets ( P>0.05). Univariate analysis was performed using t test /Mann-Whitney U test /χ 2 test. Multivariate analysis was performed using binary logistic regression to establish a preliminary model and select variables using Lasso analysis to establish an optimized model nomogram. The discrimination and calibration of the model were evaluated by ROC curve, calibration curve, and Hosmer-Lemeshow test. AUC value>0.7 is considered a good discrimination of the model. The Bootstrap method (repeated self-sampling 1000 times) was used to verify the constructed model internally and externally to evaluate the accuracy of the constructed model. Results:Multivariate analysis showed that history of chronic liver disease (OR=3.626, 95%CI: 1.297-10.137, P<0.001) and kidney disease (OR=1.567,95%CI:1.042-2.357, P=0.038), surgical antibiotic prophylaxis (OR=1.564, 95%CI:1.038-2.357, P=0.035), and emergency surgery (OR=1.432,95%CI: 1.089-1.885, P=0.021), open surgery (OR=1.418, 95%CI:1.045-1.924, P=0.042), preoperative stoma (OR=3.310, 95%CI:1.542-7.105, P<0.001), postoperative stoma (OR=2.323,95%CI: 1.537-8.134, P<0.001), surgical incision type above grade II (OR=1.619,95%CI:1.097-2.375, P=0.014), and each unit increase in total bilirubin (OR=1.003,95%CI:-0.994-1.012, P=0.238), alanine aminotransferase (OR=1.006, 95%CI:1.001-1.011, P=0.032), blood urea nitrogen (OR=1.003,95%CI:0.995-1.011, P=0.310), blood glucose (OR=1.024, 95%CI:1.005-1.043, P=0.027), C-reactive protein (OR=1.007, 95%CI:1.003-1.011, P<0.001), length of incision (OR=1.042, 95%CI:1.002-1.087, P=0.031), surgical duration (OR=1.003,95%CI:1.001-1.005, P=0.017), and surgical blood loss (OR=1.001,95%CI: 1.000-1.002, P=0.045) were risk factors for SSI after colorectal surgery. Each unit increase in albumin level (OR=0.969,95%CI:0.941-0.998, P=0.036) was an independent protective factor for SSI after colorectal surgery. The area under the curve of the optimized model obtained by internal and external validation were 0.768 (95%CI: 0.723-0.813) and 0.753 (95%CI: 0.680-0.832), respectively. The predicted value of the calibration curve was basically consistent with the actual value. Conclusions:The risk prediction model for SSI after colorectal surgery constructed in this study has good discrimination and calibration. The nomogram created in this model can provide an evaluation basis for the observed rate and expected event rate of SSI after clinical colorectal surgery.

Background Hand-arm vibration disease (HAVD) is a chronic progressive disease caused by long-term exposure to hand-transmitted vibration, but the mechanism by which vibration affects peripheral vascular function of fingers is not completely clear. Objective To study the association between vasoactive factors and HAVD, and to screen specific indicators for its early diagnosis and prevention. Methods Judgmental sampling method was used to select workers with (HAVD group) and without HAVD (vibration contact group), and non-hand-transmitted vibration operation workers (control group), with 60 workers in each group. The levels of leukotriene B4 (LTB4), vascular endothelial growth factor (VEGF), 5-hydroxy tryptamine (5-HT), interleukin-1β (IL-1β), and calcitonin gene-related peptide (CGRP) in plasma of the three groups were measured by enzyme-linked immunosorbent assay. The association between vasoactive factors and HAVD was analyzed using logistic regression, and the diagnostic HAVD indicators were screened by receiver operator characteristic (ROC) curve of a multivariate model indicator \begin{document}$ \widehat{Y} $\end{document}. Results The hand symptom rates of the HAVD group, the vibration contact group, and the control group were 26.7%, 66.7%, and 96.7% respectively, with a significant difference (P<0.05). The levels of LTB4, 5-HT, IL-1β, and CGRP in the HAVD group were the highest followed by the vibration contact group, and lowest levels were in the control group (P<0.05). There was no significant difference in the VEGF level among the three groups (P>0.05). The logistic regression results showed that higher levels of LTB4 (OR=1.048, 95%CI: 1.022-1.076), 5-HT (OR=1.011, 95%CI: 1.004-1.018), IL-1β (OR=1.148, 95%CI: 1.071-1.230), and CGRP (OR=1.055, 95%CI: 1.008-1.104) were associated with a higher risk of HAVD (P<0.05). The order of the potential indicators' area under the ROC curve from high to low was:\begin{document}$ \widehat{Y} $\end{document} (0.969) > IL-1β (0.907) > LTB4 (0.876) > 5-HT (0.858) > CGRP (0.836). Conclusion The expression levels of LTB4, 5-HT, IL-1β, and CGRP are altered with occupational exposure in hand-transmitted vibration operations and may be associated with HAVD; VEGF is not found to be associated with HAVD. The accuracy of early screening for HAVD can be improved by combining the monitoring of various biochemical indicators.

Background Prolonged exposure to vibration can cause vascular endothelial injury, and inflammatory response plays an important role in vascular endothelial injury. Studies have shown that long non-coding RNA (lncRNA) maternally expressed gene 3 (MEG3) is involved in regulating the expression of inflammatory injury of endothelial cells. Objective To investigate the effects of vibration on the secretion of inflammatory factors and the expression of IncRNA MEG3 by vascular endothelial cells in vitro. Methods Human umbilical vein endothelial cells (HUVEC) were divided into two categories: vibration and control. The vibration exposure included 63 Hz (6.76 m·s⁻²), 200 Hz (5.08 m·s⁻²), and 250 Hz (4.56 m·s⁻²) frequency bands, and 1 and 2 d exposure time with 1 to 4 h of daily vibration. The control treatment was the same as the vibration category except that they were not exposed to vibration. CCK-8 was used to detect the effects of different vibration frequencies and time on the viability of HUVEC. The expression levels of tumor necrosis factor-α (TNF-α), interleukin-8 (IL-8), interleukin-4 (IL-4), and interleukin-10 (IL-10) in the cells and supernatants were detected by enzyme-linked immunosorbent assay. The expression levels of IncRNA MEG3 were detected by real-time fluorescence quantitative PCR. Results Compared with the cells with the control treatment, the cell viability of the 1-day exposure group increased after 1.5 h and 3 h of vibration at 63 Hz, while decreased after 2 h and 2.5 h; the cell viability of the 2-day exposure group increased at the frequency of 63 Hz for 1.5 h, but decreased at 2 h and 2.5 h. At the frequency of 200 Hz, the cell viability of the 1-day exposure group increased at 2 h and 4 h, but decreased at 2.5 h and 3 h; the cell viability of the 2-day exposure group increased at 1.5 h and decreased at 2.5 h. For the vibration exposure at frequency of 250 Hz, the cell viability of the 1-day exposure group increased at 1.5 h and 2.5 h, but decreased at 3 h; of the 2-day exposure group, the cell viability increased at 1.5 h and decreased at 3 h. For the exposure settings of 63 and 200 Hz vibration for 2.5 h and 250 Hz vibration for 3 h, and with the control treatment as reference, the expression levels of TNF-α, IL-8, IL-4, and IL-10 in cells and supernatants were increased in the 1 d and 2 d exposures; the expression level of lncRNA MEG3 decreased in the 1 d exposure group; however, for the 2 d exposure, the expression level of lncRNA MEG3 decreased only in the 63 Hz vibration exposure. All of these results were statistically significant (P<0.05). Conclusion Vibration could induce an increase in the levels of inflammatory factors TNF-α, IL-8, IL-4, and IL-10 and a decrease in the expression level of lncRNA MEG3 in vascular endothelial cells in vitro.

Background Long-term exposure to hand-transmitted vibration can lead to hand-arm vibration syndrome, one manifestation of which is impaired peripheral blood circulation in the arms. Altered expressions of prostacyclin I₂ (PGI₂) and thromboxane A₂ (TXA₂) in blood may be one of the important mechanisms of vibration-induced hand-arm vibration syndrome. Objective To reveal the effects of rat tail vibration on the expressions of PGI₂ and TXA₂ in plasma, and to establish the correlation between the change of rat plasma PGI₂ to TXA₂ ratio and rat tail vibration. Methods Fifty SPF-grade male SD rats were randomly divided into five groups: control group, 1 d exposure group, 3 d exposure group, 7 d exposure group, and 14 d exposure group, with 10 rats in each group. The rats were placed in rat immobilizes on a immobilization table, and the rats' tails were connected to a shaker and fixed with medical tape. There was no overlap between the immobilizes and between the rats' tails by no contact between the immobilization table and the shaker. The exposure dose was 125 Hz, 5.9 m·s⁻², 4 h·d⁻¹, and the vibration direction was linear vertical vibration. Abdominal aortic blood was taken at the end of vibration exposure, and the expressions of PGI₂, TXA₂, and their hydrolysates 6-keto-prostaglandin F_1α (6-keto-PGF_1α) and thromboxane B₂ (TXB₂) were measured by enzyme-linked immunosorbent assay, and the 6-keto-PGF_1α/TXB₂ values were calculated. Spearman rank correlation was used to analyze whether the expression of vascular factors correlated with the accumulated time of vibration. Results The expression levels of plasma 6-keto-PGF_1α were (896.12±124.37), (1068.13±119.41), (1215.26±122.64), and (1317.94±106.54) ng·L⁻¹ in the 1 d, 3 d, 7 d, and 14 d groups of rats, respectively, which were higher than that in the control group, (830.60±109.47) ng·L⁻¹ (P<0.001). The PGI₂ expression levels were (86.49±2.40), (107.90±2.65), (114.02±2.16), and (126.95±1.94) ng·L⁻¹ in the 1 d, 3 d, 7 d, and 14 d groups of rats, respectively, all higher than (60.09±2.11) ng·L⁻¹ in the control group (P＜0.001). The expression levels of TXB₂ were (132.14±4.10), (145.52±4.09), (179.91±4.98), and (204.10±3.22) ng·L⁻¹ in the 1 d, 3 d, 7 d, and 14 d groups of rats, respectively, which were higher than that in the control group, (106.08±3.26) ng·L⁻¹ (P<0.001). The expression levels of plasma TXA₂ were (211.99±3.24), (236.33±3.88), and (245.45±4.23) ng·L⁻¹ in rats in the 3 d, 7 d, and 14 d groups, respectively, which were all elevated compared with (174.79±4.19) ng·L⁻¹ in the control group (P<0.001). Compared with the control group, the 6-keto-PGF_1α/TXB₂ values were decreased in the 7 d and 14 d groups (P<0.05). The 6-keto-PGF_1α, PGI₂, TXB₂, and TXA₂ expressions were positively correlated with vibration accumulation time (r=0.84, 0.84, 0.80, 0.84, P<0.001) and the 6-keto-PGF_1α/TXB₂ values were negatively correlated with vibration accumulation time (r=-0.24, P=0.003). Conclusion Local exposure of rat tail to vibration could increase the expressions of PGI₂ and TXA₂ in blood, and the elevated expressions show a dose-effect relationship with the duration of vibration exposure, but the PGI₂/TXA₂ tends to decrease with the accumulation of vibration exposure.