With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

The biological nitrogen removal technology utilizing heterotrophic nitrification-aerobic denitrification (HN-AD) bacteria has shown effectiveness in wastewater treatment. However, the nitrogen removal efficiency of HN-AD bacteria significantly decreases as the salinity increases. To tackle the challenge of treating high-salt and high-nitrogen wastewater, we isolated a moderately halophilic HN-AD strain 5505 from a salt lake in Xinjiang. The strain was identified based on morphological, physiological, and biochemical characteristics and the 16S rRNA gene sequence. Single-factor experiments were carried out with NH₄⁺-N, NO₃^--N, and NO₂^--N as sole or mixed nitrogen sources to study the nitrifying effect, denitrifying effect, and nitrogen metabolism pathway of the strain. The strain was identified as Halomonas sp.. It can grow in the presence of 1%-25% (W/V) NaCl and exhibited efficient nitrogen removal ability in the presence of 3%-8% NaCl. At the optimal NaCl concentration (8%), the strain showed the NH₄⁺-N, NO₃^--N and NO₂^--N removal rates of 100.0%, 94.11% and 74.43%, respectively. Strain 5505 removed inorganic nitrogen mainly by assimilation, which accounted for over 62.68% of total nitrogen removal. In the presence of mixed nitrogen sources, strain 5505 showed a preference for utilizing ammonia, with a potential HN-AD pathway of NH₄⁺→NH₂OH→NO₂^-→NO₃^-→NO₂^-→NO/N₂O/N₂. The findings provide efficient salt-tolerant bacterial resources, enhance our understanding of biological nitrogen removal, and contribute to the nitrogen removal efficiency improvement in the treatment of high-salt and high-nitrogen wastewater.
Halomonas/classification* ; Nitrogen/isolation & purification* ; Denitrification ; Nitrification ; Wastewater/microbiology* ; Aerobiosis ; Biodegradation, Environmental ; Salinity

In hypoxic-ischemic brain damage (HIBD), the programmed cell death known as ferroptosis is significantly activated. Microglial cells demonstrate a high level of sensitivity to iron accumulation. Understanding how to regulate the dual role of microglia and transforming the microglial ferroptosis to a moderate and controllable process has considerable implications for the targeted treatment in HIBD. This paper serves as an overview of microglia-mediated ferroptosis in HIBD as a disease model. We discuss various aspects centered around microglia, including pathophysiological mechanisms, polarization and functions of microglia, molecular mechanisms of ferroptosis, signaling pathways, and therapeutic strategies. The review aims to provide a reference for studies of ferroptosis in microglia.
Microglia/physiology* ; Ferroptosis/physiology* ; Humans ; Animals ; Hypoxia-Ischemia, Brain/pathology* ; Signal Transduction

Objective:To investigate the protective effect and mechanism of Icaritin Ⅱ (ICAⅡ) on bladder in radiation cystitis model.Methods:A total of 18 10-week-old male SD rats were selected from July 2021 to March 2022 and divided into control group, model group and treatment group by random number table method, with 6 cases in each group. Model group and treatment group were given a single dose of 20 Gy X-ray irradiation in the pelvic area. 24 h after irradiation, the treatment group was given ICAⅡ 4.5 mg/(kg·d) gavage, while the control group and model group were given the same volume of solvent (10% anhydrous ethanol, 20% isopropyl alcohol, 30% polyethylene glycol and 40% deionized water) gavage for 4 consecutive weeks. Drug eluting for 1 week. The bladder volume and leakage point pressure of the three groups of rats were measured by multi-conducting physiological apparatus, and the bladder function was evaluated. HE staining, Masson staining, ELISA, TUNEL staining and western blotting were performed on the bladder samples of the three groups of rats. The pathological changes (thickness of bladder mucosa, ratio of smooth muscle to collagen fiber), oxidative stress level (superoxide dismutase SOD, malondialdehyde), apoptosis rate, protein levels of inflammatory factors (IL-6, NF-kB) and anti-oxidative stress signaling pathway factors (Nrf2, HO-1) of the three groups of rats were compared.Results:After 4 weeks of modeling, in the model group, the bladder volume [(1.01±0.12)ml vs. (1.58±0.21)ml, P=0.001], the bladder leakage point pressure [(38.79±4.12) cmH 2O (1 cmH2O=0.098 kPa)vs.(60.59±3.81) cmH 2O, P=0.001], the ratio of smooth muscle of bladder wall to collagen fiber [1.78±0.17 vs.3.15±0.57, P=0.001], SOD[(6.31±0.73) U/mg vs.(14.67±1.04) U/mg, P=0.001] were lower than the control group, and the differences were statistically significant. In the model group, the thickness of bladder mucosa [(47.33±1.78)μm vs.(20.83±2.33)μm, =, P=0.001], malondialdehyde [(1.01±0.13) nmol/mg vs.(0.49±0.03) nmol/mg, P=0.001], IL-6 (0.87±0.11 vs. 0.33±0.10, P=0.001), NF-kB (0.71±0.14 vs. 0.29±0.07, P=0.001), apoptosis rate [(11.60±3.04)% vs. (3.91±1.40)%, P=0.007] was higher than the control group, and the differences were statistically significant. In the treatment group, the bladder volume [(1.27±0.13)ml, P=0.030], bladder leakage point pressure [(47.83±2.50)cmH 2O, P=0.004], smooth muscle to collagen fiber ratio (2.78±0.68, P=0.015), SOD[(10.48±0.85) U/mg, Compared with model group, bladder mucosa thickness [(31.94±3.20)μm, P=0.001], malondialdehyde [(0.64±0.09) nmol/mg, P=0.001], IL-6 (0.69±0.11, P=0.035), NF-kB (0.45±0.06, P=0.002) and apoptosis rate [(6.05±0.60)%, P=0.030] were lower than those in model group. The protein expression level of Nrf2 in model group (0.73±0.08 vs. 0.58±0.11, P=0.023) was higher than that in control group, but there was no significant difference in the protein expression level of downstream antioxidant factor HO-1 (0.50±0.14 vs. 0.35±0.06, P=0.060). Nrf2 protein expression level (0.88±0.03, P=0.027) and HO-1 expression level (0.68±0.07, P=0.026) in treatment group were higher than those in model group. Conclusion:ICAⅡ can reduce radiation cystitis injury, and its mechanism may be related to anti-oxidative stress and reducing inflammation.

Humans ; Computed Tomography Angiography ; Deep Learning ; Coronary Angiography ; Coronary Artery Disease ; Tomography, X-Ray Computed ; Coronary Stenosis/diagnosis* ; Retrospective Studies ; Fractional Flow Reserve, Myocardial ; Predictive Value of Tests

Objective:To investigate the effect of six degree of freedom (6-DOF) bed combined with cone beam computed tomography (CBCT) in the on-line correction of setup errors in patients with primary rectal cancer.Methods:The clinicopathological data of 17 patients with primary rectal cancer in Department of Radiotherapy, Third Hospital of Peking University from July 2013 to January 2014 were collected. There were 14 males and 3 females, a median age of 65 years. The difference of CBCT and 6-DOF bed combined with CBCT online correction of patients with positioning error were retrospectively analyzed.Results:Before position correction, the first CBCT verification of setup errors in the three translation directions including X (left and right), Y (in and out) and Z (up and down) directions were (0.06±0.25) cm, (0.13±0.40) cm and (-0.28±0.31) cm, respectively. The setup errors of RX (rotation pitch), RY(rolling) and RZ (left and right rotation) directions were (0.62±1.15)°, (-0.19±0.99)°, and (-0.34 ± 0.84)°, respectively . After correction of IGRT combined with six freedom of bed, the setup errors of translation X, Y and Z were (0.01±0.09) cm, (-0.01±0.05) cm and (-0.03±0.08) cm, respectively, and the setup errors of rotation RX, RY and RZ directions were (-0.16±0.40)°, (0.36±0.31)°and (-0.01±0.25)°, respectively. There were significant differences in translation direction (X, Y and Z direction) and rotation direction (Rx, RY and RZ) before and after 6-DOF bed combined with CBCT correction (all P<0.05). In the translation direction, the higher frequency range of Z-direction error value was 0.20-0.79 cm. In the rotation direction, the frequency range of error in Rx direction was 0.20°-2.99°. There was no significant difference between bone mode and gray scale model registration ( P>0.05). With the progress of radiotherapy, the setup errors of X, Z, Rx, RY and RZ directions increased except Y direction. Conclusions:In radiotherapy, six freedom bed combined with CBCT is helpful to correct the setup errors of patients with primary rectal cancer. Six freedom bed may be used to correct the setup errors of patients with primary rectal cancer online. Image-guided radiation therapy (IGRT) is recommended for bone pattern registration in patients with rectal cancer.

Objective:To investigate the effect of six degree of freedom (6-DOF) bed combined with cone beam computed tomography (CBCT) in the on-line correction of setup errors in patients with primary rectal cancer.Methods:The clinicopathological data of 17 patients with primary rectal cancer in Department of Radiotherapy, Third Hospital of Peking University from July 2013 to January 2014 were collected. There were 14 males and 3 females, a median age of 65 years. The difference of CBCT and 6-DOF bed combined with CBCT online correction of patients with positioning error were retrospectively analyzed.Results:Before position correction, the first CBCT verification of setup errors in the three translation directions including X (left and right), Y (in and out) and Z (up and down) directions were (0.06±0.25) cm, (0.13±0.40) cm and (-0.28±0.31) cm, respectively. The setup errors of RX (rotation pitch), RY(rolling) and RZ (left and right rotation) directions were (0.62±1.15)°, (-0.19±0.99)°, and (-0.34 ± 0.84)°, respectively . After correction of IGRT combined with six freedom of bed, the setup errors of translation X, Y and Z were (0.01±0.09) cm, (-0.01±0.05) cm and (-0.03±0.08) cm, respectively, and the setup errors of rotation RX, RY and RZ directions were (-0.16±0.40)°, (0.36±0.31)°and (-0.01±0.25)°, respectively. There were significant differences in translation direction (X, Y and Z direction) and rotation direction (Rx, RY and RZ) before and after 6-DOF bed combined with CBCT correction (all P<0.05). In the translation direction, the higher frequency range of Z-direction error value was 0.20-0.79 cm. In the rotation direction, the frequency range of error in Rx direction was 0.20°-2.99°. There was no significant difference between bone mode and gray scale model registration ( P>0.05). With the progress of radiotherapy, the setup errors of X, Z, Rx, RY and RZ directions increased except Y direction. Conclusions:In radiotherapy, six freedom bed combined with CBCT is helpful to correct the setup errors of patients with primary rectal cancer. Six freedom bed may be used to correct the setup errors of patients with primary rectal cancer online. Image-guided radiation therapy (IGRT) is recommended for bone pattern registration in patients with rectal cancer.

Infectious diseases are still one of the leading causes of morbidity and death globally, affecting public health and life, social and economic development, and even national security. Early detection focuses on detecting the abnormal information of infectious disease outbreaks or epidemics in a timely and sensitive way to conduct field investigation and verification. It is also a precursor to effective surveillance and early warning system. The effective surveillance and early warning system can fully and accurately understand the real conditions, driving forces, and transmission chain of the occurrence of a specific infectious disease outbreak and epidemic and put forward scientific and effective prevention and control strategies and measures. Due to the measurement of the resources support and the particular data collection value, it is not easy to obtain epidemiological, etiological, and other data information in a timely, complete and accurate manner. This paper summarized the theory and technology on early detection, effective surveillance, and early warning information on infectious diseases. It also integrated and utilized the multi-source data, including effective infectious disease surveillance and the country's early warning system, to better understand the outbreak epidemic, causes, risks, processes, and driving forces. Thus, it is possible to set up a sensitive, specific staging measurement innovative technical system to monitor, early warning, and timely respond to acute infectious diseases through multidisciplinary cooperation in China. It provides the basis for strengthening the surveillance and early warning of new emerging and major infectious diseases and public health emergencies, avoiding the spread of inadequate response to infectious disease, and preventing the resources waste of over-response.

Objective:To understand the status quo and impact of Beijing Standardized Residency Training program following three years of the medical education synergy policy from the perspective of residents.Methods:Online questionnaire was used from April to May 2018 to investigate two types of residents who had completed the program in Beijing in 2018, and a comparison was made with the 2014 training program, activities, evaluation, and support conditions. Statistical descriptions and Wilcoxon signed-rank test were used for analysis.Results:A total of 3 293 residents completed the Beijing Standardized Residency Training, of which 54.75% were resident physicians, and 45.25% were graduate students in clinical medicine. Compared with 2014, the completion rate of the disease types and quantity, clinical operation types and quantity required by the training plan has been significantly improved, with the proportions being 93.77% and 92.80%, respectively. The implementation rate of examinations in 7 departments including Internal Medicine was greater than 90%, which is significantly higher than that in 2014; The conditions for training support had improved significantly.Conclusions:The impact of Beijing Standardized Residency Training Program was already emerging since the medical education synergy policy in place. It was recommended that various measures be taken to steadily improve the quality of the " dual-track system" .

OBJECTIVETo investigate the role of USP33 as an independent prognostic marker in the regulation of SLIT2/ROBO1 signaling pathway to inhibit lung adenocarcinoma invasion and metastasis.

METHODSThe expression of USP33 in 20 lung adenocarcinoma specimens was detected by qPCR and immunohistochemistry. A549 and SPC-A-1 cells with small interfering RNA (siRNA)-mediated USP33 silencing were examined for changes in invasion and metastasis abilities using scratch assay and Matrigel assay. Western blotting was used to detect the expression of SLIT2 and ROBO1 in the cells after USP33 silencing and the expression of USP33 after interleukin-6 (IL-6) stimulation.

RESULTSqPCR and immunohistochemistry showed that USP33 was significantly decreased in lung adenocarcinoma tissues as compared with the adjacent tissues. USP33 silencing in A549 and SPC-A-1 cells significantly promoted the cell migration, invasion and metastasis and obviously down-regulated the expressions of SLIT2 and ROBO1. IL-6 stimulation of the cells obviously enhanced the expression of USP33.

CONCLUSIONSUSP33 silencing can promote the migration, invasion and metastasis of lung adenocarcinoma cells , and the mechanism may involve IL-6 and SLIT2/ROBO1 signaling pathways.