Objective To analyze the influenza-like illness (ILI) data in Ordos City from 2017 to 2023 and conduct nucleic acid detection of the virus to understand the local influenza epidemic situation, and to provide a reliable basis for influenza prevention and control in the city. Methods Real-time quantitative polymerase chain reaction (qPCR) was used to identify virus subtypes in ILI throat swab samples. Comparisons of positive rates were conducted using the chi-square test, with a significance level of α=0.05. Results From 2017 to 2023, a total of 3,283,434 outpatient and emergency visits were recorded at the Ordos City Central Hospital, including 74,159 ILI cases, with an ILI proportion of 2.26%. The majority of ILI cases (74.43%) occurred in children aged 0~14 years old. The overall positive rate of influenza virus nucleic acid detection was 10.87%, with the highest proportion being subtype A (seasonal H3) at 43.03%. The highest detection rate was observed in the 5~14 years age group, with statistically significant differences in positive rates across age groups (χ²=155.638, P<0.001). Influenza peaks occurred mainly from November to March of the following year. From January to April, three types of influenza were prevalent alternately or mixed, while from October to December, subtype A (seasonal H3) predominated. Positive rates varied significantly across months (χ²=250.923, P<0.001). The temporal trends of ILI proportions and PCR-positive rates were consistent. Conclusion Influenza in Ordos City exhibits distinct seasonal and age distribution characteristics, with alternating or mixed circulation of three virus types. Continued efforts are needed to strengthen influenza surveillance, especially the prevention and control of influenza in infants and adolescents.

ObjectiveTo investigate the chemical hazards in the production line of lithium batteries, so as to provide a scientific basis for the management of occupational-health risk and to promote the healthy and sustainable development of the lithium battery industry. MethodsAn on-site survey on the process flow of the production of lithium battery was conducted in an enterprise. Volatile organic compounds (VOCs) in the occupational environment were collected by Summa canisters, carbonates and N-methyl pyrrolidone (NMP) were collected using activated carbon tubes, and airborne metals were collected using filter membranes. VOCs, carbonates and NMP were detected by gas chromatography-mass spectrometry (GC-MS), and airborne metal elements in the dust samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). ResultsNon-targeted environmental monitoring results indicated that NMP was detected in the negative /positive electrode coating, assembly and drying filling workstations, dimethyl carbonate (DMC) was detected in the assembly, drying and electrolyte injection workstations, and ethyl methyl carbonate (EMC) was detected solely in the electrolyte injection workstation. Semi-quantitative analyses of VOCs identified 136 pollutants, including acrylonitrile and halohydrocarbons. Quantitative targeted environmental monitoring results revealed the highest geometric mean (GM) concentration of EMC (31.450 mg·m^-3) was found in the assembly and drying workstations, diethyl carbonate (DEC) was detected in all workstations. While vinylene carbonate (VC) and ethylene carbonate (EC) were detected only in electrolyte injection, assembly and drying workstations. NMP was detected in all positive electrode coating samples, with a GM concentration of 5.68 mg·m^-3 (concentration range: 4.0‒ 7.4 mg·m^-³). Lithium was exclusively detected in dust samples from the liquid injection workstation (GM: 0.014 μg·m^-³). ConclusionNMP, EMC, DEC, and other chemicals are identified at the key workstations such as the positive electrode coating, electrolyte injection, assembly and drying in the lithium production line. Furthermore, semi-quantitative VOCs analyses identified 136 pollutants, demonstrating a characteristic of multicomponent chemical exposure.

Objective·To investigate the role of HEN methyltransferase 1(HENMT1)in the proliferation and migration of gastric cancer(GC)and its potential molecular mechanisms.Methods·The expression of HENMT1 in GC was examined using bioinformatics databases,Western blotting and quantitative real-time PCR(qPCR).Kaplan-Meier Plotter and BEST online tools were used to analyze the correlations between HENMT1 expression and overall survival,perineural invasion,subtypes,tumor location and Lauren classification in clinical GC patients.GC cells were cultured in vitro and treated with small interfering RNA(siRNA)targeting HENMT1 and HENMT1 overexpression vectors,in combination with a PI3K activator(740 Y-P)or PI3K inhibitor(3-MA).The roles of HENMT1 in GC cell proliferation and migration were assessed using cell counting kit-8(CCK-8)assay,colony formation assay,wound healing assay and Transwell migration assay.Results·HENMT1 was significantly upregulated in GC and positively associated with perineural invasion.Its expression was closely related to GC subtypes,being most pronounced in the proliferative subtype,and was higher in intestinal-type GC according to the Lauren classification.However,HENMT1 expression showed no significant correlation with overall survival or tumor location(including gastric body,cardia,antrum and whole stomach).Functional experiments demonstrated that silencing HENMT1 inhibited GC cell proliferation and migration,whereas overexpression of HENMT1 enhanced these capabilities.Mechanistically,silencing HENMT1 reduced the levels of phosphorylated PI3K,AKT and mTOR,as well as their total protein expression.Conversely,HENMT1 overexpression upregulated these proteins.Moreover,siHENMT1 combined with the PI3K activator 740 Y-P effectively reversed the proliferation and migration effects induced by 740 Y-P,while overexpressed HENMT1 combined with the PI3K inhibitor 3-MA reversed the suppressive effects of 3-MA on GC cell proliferation and migration.Conclusion·HENMT1 is highly expressed in GC and positively regulates the proliferation and migration of gastric cancer cells by activating the PI3K-AKT-mTOR signaling pathway.

With the rapid development of medical big data and artificial intelligence,Clinical Prediction Models(CPMs)have become pivotal tools for disease prevention,diagnosis,and treatment.Current research predominantly focuses on the economic analysis of pharmacological or public health interventions,yet a comprehensive methodological framework for the economic evaluation of CPMs has been notably absent.The Guidelines for Economic Evaluation of Clinical Prediction Models(hereafter the Guidelines),jointly initiated by the Chinese Research Hospital Association and Peking University,Tsinghua University,and Capital Medical University,adheres to the WHO Handbook for Guideline Development and the Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards.A multidisciplinary collaboration,including a steering committee,expert panel,secretariat,and external review group,was established to develop the guideline following evidence-based principles and procedures.Consensus recommendations were formulated through the Delphi method.It describes the background,objectives,target group,and the development methodology and process,ensuring the entire compilation process of the Guidelines is transparent and standardized.Through comprehensive evidence retrieval,systematic evidence appraisal,and a scientific approach to forming recommendations,the scientific rigor and validity of the Guidelines were further enhanced.

With the rapid development of medical big data and artificial intelligence,Clinical Prediction Models(CPMs)have become pivotal tools for disease prevention,diagnosis,and treatment.Current research predominantly focuses on the economic analysis of pharmacological or public health interventions,yet a comprehensive methodological framework for the economic evaluation of CPMs has been notably absent.The Guidelines for Economic Evaluation of Clinical Prediction Models(hereafter the Guidelines),jointly initiated by the Chinese Research Hospital Association and Peking University,Tsinghua University,and Capital Medical University,adheres to the WHO Handbook for Guideline Development and the Reporting Items for Practice Guidelines in Healthcare(RIGHT)standards.A multidisciplinary collaboration,including a steering committee,expert panel,secretariat,and external review group,was established to develop the guideline following evidence-based principles and procedures.Consensus recommendations were formulated through the Delphi method.It describes the background,objectives,target group,and the development methodology and process,ensuring the entire compilation process of the Guidelines is transparent and standardized.Through comprehensive evidence retrieval,systematic evidence appraisal,and a scientific approach to forming recommendations,the scientific rigor and validity of the Guidelines were further enhanced.

Objective·To investigate the role of HEN methyltransferase 1(HENMT1)in the proliferation and migration of gastric cancer(GC)and its potential molecular mechanisms.Methods·The expression of HENMT1 in GC was examined using bioinformatics databases,Western blotting and quantitative real-time PCR(qPCR).Kaplan-Meier Plotter and BEST online tools were used to analyze the correlations between HENMT1 expression and overall survival,perineural invasion,subtypes,tumor location and Lauren classification in clinical GC patients.GC cells were cultured in vitro and treated with small interfering RNA(siRNA)targeting HENMT1 and HENMT1 overexpression vectors,in combination with a PI3K activator(740 Y-P)or PI3K inhibitor(3-MA).The roles of HENMT1 in GC cell proliferation and migration were assessed using cell counting kit-8(CCK-8)assay,colony formation assay,wound healing assay and Transwell migration assay.Results·HENMT1 was significantly upregulated in GC and positively associated with perineural invasion.Its expression was closely related to GC subtypes,being most pronounced in the proliferative subtype,and was higher in intestinal-type GC according to the Lauren classification.However,HENMT1 expression showed no significant correlation with overall survival or tumor location(including gastric body,cardia,antrum and whole stomach).Functional experiments demonstrated that silencing HENMT1 inhibited GC cell proliferation and migration,whereas overexpression of HENMT1 enhanced these capabilities.Mechanistically,silencing HENMT1 reduced the levels of phosphorylated PI3K,AKT and mTOR,as well as their total protein expression.Conversely,HENMT1 overexpression upregulated these proteins.Moreover,siHENMT1 combined with the PI3K activator 740 Y-P effectively reversed the proliferation and migration effects induced by 740 Y-P,while overexpressed HENMT1 combined with the PI3K inhibitor 3-MA reversed the suppressive effects of 3-MA on GC cell proliferation and migration.Conclusion·HENMT1 is highly expressed in GC and positively regulates the proliferation and migration of gastric cancer cells by activating the PI3K-AKT-mTOR signaling pathway.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Objective: To investigate the effects and underlying mechanisms of the macrophage migration inhibitory factor(MIF) inhibitor(S,R)-3-(4-hydroxyphenyl)-4,5-dihydro-5-isoxazoleacetic acid methyl ester(ISO-1) on sepsis-induced acute kidney injury(AKI). Methods: Human renal tubular epithelial HK-2 cells were divided into Con group(without any treatment), ISO-1 group(10 μg/ml ISO-1 treatment for 24 h) and LPS group(10 μg/ml LPS treatment for 24 h), LPS+ISO-1 group(10 μg/ml LPS treatment for 24 h followed by 10 μg/ml ISO-1 treatment for 24 h). ELISA was used to measure the levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), and interleukin-6(IL-6) in the cell supernatants. Reactive oxygen species(ROS) levels were assessed using the 6-carboxyl-2 ′,7′-dichlorodihydrofluorescein diacetate fluorescent indicator(DCFH-DA) method. Apoptosis levels were detected by TUNEL staining, and Western blot was employed to analyze the expression of proteins of Kelch like ECH associated protein 1(Keap1), NFE2 like bZIP transcription factor 2(Nrf2), heme oxygenase-1(HO-1), as well as apoptosis-related proteins Bcl-2, Bax, and cleaved Caspase-3(c-Caspase-3). A sepsis mouse model was established using the cecal ligation and puncture(CLP) method, and the mice were divided into four groups: sham-operated(Sham), ISO-1 control(ISO-1), CLP, and ISO-1 treatment(CLP+ISO-1). After the experiment, mouse kidney tissues were collected for HE staining to observe pathological changes. Blood urea nitrogen(BUN), serum creatinine(Scr), myeloperoxidase(MPO) levels in kidney tissues, glutathione(GSH) and superoxide dismutase(SOD) activities were measured. Western blot was also used to detect the expression of MIF and proteins in the Nrf2/Keap1 signaling pathway and apoptosis-related proteins in kidney tissues. Results: Compared to the Con group, the LPS and LPS+ISO-1 groups showed significantly increased levels of TNF-α, IL-1β, IL-6, TUNEL-positive rates, ROS levels, and protein expressions of Keap1, Bax, and c-Caspase-3 in HK-2 cells(P<0.05), while the expressions of Nrf2, HO-1, and Bcl-2 significantly decreased(P<0.05). The ISO-1 group showed no significant changes(P>0.05). Compared to the LPS group, the LPS+ISO-1 group exhibited significantly decreased levels of TNF-α, IL-1β, IL-6, TUNEL-positive rates, ROS levels, and protein expressions of Keap1, Bax, and c-Caspase-3, while the expressions of Nrf2, HO-1, and Bcl-2 significantly increased(P<0.05). In the mouse experiments, compared to the Sham group, the CLP and CLP+ISO-1 groups showed severe kidney tissue damage, increased levels of serum BUN, Scr, and kidney MIF, Keap1, Bax, and c-Caspase-3 protein expressions(P<0.05), while GSH, SOD activities, and protein expressions of Nrf2, HO-1, and Bcl-2 significantly decreased(P<0.05). The ISO-1 group showed no significant changes(P>0.05). Compared to the CLP group, the CLP+ISO-1 group showed significant improvements in the aforementioned indicators(P<0.05). Conclusion The specific MIF inhibitor ISO-1 can ameliorate sepsis-induced AKI by inhibiting oxidative stress, inflammatory response, and apoptosis bothin vitroandin vivo. The mechanism may be through Nrf2/Keap1 signaling pathway.

Objective To explore the expression levels of serum glycerophospholipid metabolites lysophosphatidylcholine(LPC)18∶3 and lysophosphatidylethanolamine(LPE)16∶1 in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD)and their correlation with clinical prognosis.Methods A total of 112 AECOPD patients diagnosed and treated in Tangshan People's Hospital from January 2019 to January 2022 were selected as the AECOPD group.According to the 3-month follow-up prognosis of the AECOPD group patients,they were divided into survival group(n=90)and death group(n=22).During the same period,60 stable COPD patients were selected as the stable period group,while 60 healthy individuals in the same period were selected as the control group.High performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS)was used to detect serum LPC18∶3 and LPE16∶1 levels in each group.Pearson method was used to analyze their correlation.Logistic regression analysis was used to analyze factors affecting the prognosis of AECOPD patients.Receiver operating characteristic curve was drawn to evaluate the prognostic value of LPC18∶3 and LPE16∶1 in AECOPD patients.The prognosis of AECOPD patients with different serum LPC18∶3 and LPE16∶1 expression groups was compared by K-M curve.Results Serum LPC18∶3(21.67±4.35 μ mol/L),LPE16∶1(16.20±5.17 μ mol/L),PEF％pred,FEV1％pred,and FEV1/FVC％in AECOPD group were lower than those of stable phase group(43.24±6.17 μ mol/L,32.19±5.98 μmol/L)and the control group(68.14±8.78 μ mol/L,44.82±7.44 μ mol/L),with significant differences(F=461.240～1 102.534,all P＜0.05).The serum LPC18:3 and LPE16:1 levels in the AECOPD group were positively correlated with lung function indicators such as PEF％pred,FEV1％pred,and FEV1/FVC％(r=0.603～0.756,allP＜0.05).The course of COPD and PCT of AECOPD patients in the death group were higher than those in the survival group(t=3.961,2.509),while the PEF％pred,FEV1％pred,FEV1/FVC％,serum LPC18∶3(17.20±4.11μ mol/L),and LPE16∶1(10.15±3.03 μ mol/L)in the death group were lower than those in the survival group(22.76±4.35 μ mol/L,17.68±5.22 μ mol/L),with significant differences(t=4.141～6.490,all P＜0.05).Serum LPC18∶3(OR=0.691,95％CI:0.519～0.920)and LPE16∶1(OR=0.586,95％CI:0.382～0.901)were independent protective factors,while the course of COPD(OR=1.510,95％CI:1.203～1.895)and procalcitonin(OR=1.759,95％CI:1.159～2.671)were risk factors affecting the prognosis of AECOPD patients.The area under the curve(95％CI)of combined serum LPC18∶3 and LPE16∶1 for prognosis evaluation of AECOPD patients was better than that of serum LPC18∶3 and LPE16∶1 predicted separately[0.866(0.822～0.907)vs 0.794(0.748～0.830),0.786(0.739～0.836)](Z=3.957,4.195,P=0.002,＜0.001).The mortality risk of AECOPD patients in the low expression group of LPC18∶3 and LPE16∶1 was higher than that in the high expression group of LPC18∶3 and LPE16∶1(log rankx2=4.475,5.763,P=0.034,0.016).Conclusion The serum levels of glycerophospholipid metabolites LPC18∶3 and LPE16∶1 in AECOPD patients were decreased,which were related to lung function status.The combination of the two may effectively evaluate the prognosis of AECOPD patients.

Objective To investigate the changes in the levels of serum visinin-like protein-1(VILIP-1)and soluble triggering receptor expressed on myeloid cells-1(sTREM-1)in patients with acute cerebral hem-orrhage(ACH)and their correlation with the degree of neurological deficits and prognosis.Methods Totally 115 cases of ACH patients admitted to this hospital from January 2021 to January 2023 were selected as the ACH group,and another 115 healthy volunteers with physical examination in the same period were selected as the control group.The ACH patients were divided into mild deficit group(39 cases),moderate deficit group(46 cases)and severe deficit group(30 cases)according to the degree of neurological deficit assessed by the national institutes of health stroke scale(NIHSS).Patients with ACH were divided into a poor prognosis group(27 cases)and a good prognosis group(88 cases)after 90 d of follow-up according to the prognosis as-sessed by the modified Rankin scale.Serum VILIP-1 and sTREM-1 levels were measured by enzyme-linked immunosorbent assay.Spearman correlation was used to analyze the correlation between NIHSS scores and se-rum VILIP-1 and sTREM-1 levels in ACH patients,a multifactorial Logistic regression model was set up to analyze the factors affecting the prognosis of ACH patients,and the predictive value of serum VILIP-1 and sTREM-1 levels in poor prognosis in ACH patients was analyzed by plotting the receiver operating character-istic(ROC)curve.Results Compared with the control group,serum VILIP-1 and sTREM-1 levels were ele-vated in the ACH group(P＜0.05).Serum VILIP-1 and sTREM-1 levels increased sequentially in the mild-deficiency,moderate-deficiency,and severe-deficiency groups(P＜0.05).Spearman correlation analysis showed a positive correlation between NIHSS scores and serum VILIP-1 and sTREM-1 levels in ACH patients(r=0.792 and 0.781,both P＜0.001).After 90 d of follow-up,the incidence of poor prognosis in 115 ACH patients was 23.48％(27/115).Multifactorial Logistic regression analysis showed that increased hematoma volume and elevated NIHSS score,VILIP-1,and sTREM-1 were independent risk factors affecting the progno-sis of patients with ACH(P＜0.05).ROC curve analysis showed that the area under the curve of serum VIL-IP-1 and sTREM-1 levels combined to predict poor prognosis in ACH patients was 0.872,which was greater than that of serum VILIP-1 and sTREM-1 levels alone,which were 0.784 and 0.772(P＜0.05).Conclusion Ele-vated serum VILIP-1 and sTREM-1 levels in ACH patients are closely associated with increased degree of neurological deficit and poor prognosis,and the combined detection of serum VILIP-1 and sTREM-1 has high predictive value for poor prognosis in ACH patients.