ObjectiveTo explore the correlation between general anesthesia and mild cognitive impairment in older adults so as to provide new ideas for early prevention and timely intervention of mild cognitive impairment（MCI）. MethodsBased on the baseline survey of the Hubei memory and aging cohort study（2018-2023）， the participants completed a thorough neuropsychological assessment and physical examination， and self-reported a history of general anesthesia and surgery. The association of general anesthesia and MCI in the elderly was analyzed using the logistic regression model. In addition， the stratification and interaction analysis of anesthesia history， anesthesia number and physical intellectual exercise were conducted separately. ResultsA total of 5 069 older adults aged 65 and above were included in this study， including 3 692 city dwellers and 1 377 rural people， among whom were 2 584 women （51%）. Out of the 1 472 participants with history of general anesthesia， 249 people （17.4%） had MCI. After controlling for confounding factors， there was a 39.6% increased risk of MCI in older adults who underwent general anesthesia ［OR=1.396，95%CI（1.169，1.668），P<0.001］， suggesting that general anesthesia may be an independent influence on MCI. For the older adults who had one general anesthesia ［OR=1.235，95%CI（1.001，1.523），P=0.049］， two general anesthesia ［OR=1.779，95%CI （1.292，2.450），P<0.001］， and three OR more general anesthesia ［OR=2.395，95%CI （1.589，3.610），P<0.001］， their risks of MCI were increased by 23.5%， 77.9%， and 139.5%， respectively. Compared with the older adults without a history of general anesthesia who did not exercise， the risk of developing MCI was significantly negatively correlated with the exercise group， cognitive exercise group， and combined exercise and cognitive exercise groups （all P<0.001）. The risk of developing MCI in the exercise group was 60.2% of that in the no exercise group ［OR = 0.602， 95% CI（0.456， 0.795）］， the risk in the cognitive exercise group was 42.4% of that in the no exercise group ［OR = 0.424， 95% CI（0.294， 0.613）］， and the risk in the combined exercise and cognitive exercise group was 27.0% of that in the no exercise group ［OR = 0.270， 95% CI （0.208， 0.353）］. In the older adults with a history of general anesthesia， compared with the no exercise group， the risk of developing MCI was significantly negatively correlated with the cognitive exercise group and the combined exercise and cognitive exercise group （all P < 0.05）. The risk of developing MCI in the cognitive exercise group was 47.7% of that in the no exercise group ［OR=0.477， 95% CI （0.256，0.892）］， the risk in the combined exercise and cognitive exercise group was 34.5% of that in the no exercise group ［OR=0.345， 95% CI （0.220， 0.540）］， while the risk in the exercise-only group did not show a significant difference. ConclusionThe risk of MCI increased significantly in older adults with a history of general anesthesia， and this risk increased with the times of anesthesia. Physical and mental exercise reduces the risk of MCI. it is recommended that older adults with a history of anesthesia incorporate physical and mental exercise into their daily lives to prevent mild cognitive impairment.

Background Injury poses a serious threat to human health. As global warming continues to intensify, there is an urgent need to explore the impact of temperature changes on injury deaths. However limited research has focused on this issue. Objective To investigate the relationship between daily mean temperature change (Tm) and injury death, as well as to estimate the associated future death burden in Hunan Province. Methods We employed an individual-level, time-stratified case-crossing design to establish a conditional logistic regression model to analyze the exposure-response relationship between daily mean temperature change and injury death in Hunan Province from 2013 to 2018. Consequently, we conducted subgroup analysis of gender, age group, and injury type. Finally, we estimated the excess burden of injury death attributable to temperature changes under a sustainable development path [low emission scenario (SSP1-2.6)], regional competition path [high emission scenario (SSP3-7.0)], or fossil fuel development path [very high emission scenario (SSP5-8.5)]. Results The study collected 155577 injury deaths in Hunan Province. The results indicated that for each 1 ℃ increment in daily mean temperature, the cumulative excess risk (CER) of injury mortality among Hunan residents increased by 0.71% (95%CI: 0.53%, 0.90%). Notably, the CER for intentional injuries (1.06%, 95%CI: 0.51%, 1.61%) was higher than that for unintentional injuries (0.66%, 95%CI: 0.46%, 0.87%). Warmer temperatures were positively associated with CER of mortality due to drowning, falls, transport injuries, assaults, and suicides, while they were negatively associated with mortality due to poisoning. Compared with 2010–2019, for 2090–2099, the excess mortality rate (EMR) due to ambient temperature increase in Hunan Province under the SSP5-8.5 scenario (14.62/100000, 95%CI: 10.81/100000, 18.40/100000) would be higher than that of the SSP3-7.0 scenario (10.28/100000, 95%CI: 7.58/100000, 12.97/100000) and the SSP1-2.6 scenario (3.35/100000, 95%CI: 2.46/100000, 4.23/100000); the EMR would be around 2.5 times among men (20.64/100000, 95%CI: 14.44/100000, 26.8/100000) than that among women (8.33/100000, 95%CI: 3.98/100000, 12.6/100000). Among unintentional injuries, the leading contributors to EMR would be drowning (4.46/100000), falls (3.96/100000), and transport injuries (2.96/100000). And among intentional injuries, the EMR for suicide (2.08/100000) would be higher than that for assault (0.47/100000). Conclusion Climate warming will increase the total burden of injury-related deaths among residents in Hunan Province, especially in the absence of effective mitigation strategies and measures. It is necessary to strengthen the prevention and control of severe injuries closely related to temperature changes, such as drowning, falls, traffic, and suicides injuries, in order to reduce injury deaths associated with climate change.

Objective:To evaluate psychometric properties of infertility related stress assessment instruments and the methodological quality of research.Methods:Research on the psychometric property evaluation of infertility related stress assessment instruments was electronically searched on China National Knowledge Infrastructure, China Biology medicine disc, WanFang Data, VIP, PubMed, Web of Science, Embase, Scopus, and CINHAL. The search period was from database establishment to November 1, 2023. Two researchers independently screened literature and extracted data, evaluated the included assessment tools using the Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) guideline, and formed recommendations.Results:A total of 20 studies were included, including 8 assessment instruments of the Fertility Problem Stress Inventory, Infertility Distress Scale, Fertility Problem Inventory, Fertility Problem Inventory-Short Form, Copenhagen Multi-Centre Psychosocial Infertility-Fertility Problem Stress Scales, Copenhagen Multi-Centre Psychosocial Infertility-Fertility Problem Stress Scales-Short Form, Infertility-Related Stress Scale, and the Symptom and Stress Inventory for Infertility. The content validity of assessment instrument was not reported or uncertain, and the quality of evidence for the assessment tools was moderate, all of which were B-level recommendations.Conclusions:The Fertility Problem Inventory, Copenhagen Multi-Centre Psychosocial Infertility-Fertility Problem Stress Scales, Copenhagen Multi-Centre Psychosocial Infertility-Fertility Problem Stress Scales-Short Form and the Infertility-Related Stress Scale can be temporarily recommended for use, but the psychometric property of each tool still needs to be fully verified. Clinical medical and nursing staff need to choose appropriate assessment instruments based on actual situation.

Due to the limitations of current anti-HBV therapies, the HBV core (HBc or HBcAg) protein assembly modulators (CpAMs) are believed to be potential anti-HBV agents. Therefore, discovering safe and efficient CpAMs is of great value. In this study, we established a HiBiT-based high-throughput screening system targeting HBc and screened novel CpAMs from an in-house marine chemicals library. A novel lead compound 8a, a derivative of the marine natural product naamidine J, has been successfully screened for potential anti-HBV activity. Bioactivity-driven synthesis was then conducted, and the structure‒activity relationship was analyzed, resulting in the discovery of the most effective compound 11a (IC₅₀ = 0.24 μmol/L). Furthermore, 11a was found to significantly inhibit HBV replication in multiple cell models and exhibit a synergistic effect with tenofovir disoproxil fumarate (TDF) and IFNa2 in vitro for anti-HBV activity. Treatment with 11a in a hydrodynamic-injection mouse model demonstrated significant anti-HBV activity without apparent hepatotoxicity. These findings suggest that the naamidine J derivative 11a could be used as the HBV core protein assembly modulator to develop safe and effective anti-HBV therapies.

The fat mass and obesity-associated protein (FTO) is an RNA demethylase required for catalytic demethylation of N ⁶-methyladenosine (m⁶A); it is highly expressed and functions as an oncogene in acute myeloid leukemia (AML). Currently, the overarching objective of targeting FTO is to precisely inhibit the catalytic activity. Meanwhile, whether FTO degradation also exerts antileukemic effects remains unknown. Herein, we designed the first FTO-targeting proteolysis targeting chimera (PROTAC) degrader QP73 using our FTO inhibitor Dac85-which potently inhibits FTO demethylation in AML cell lines-as a warhead. Notably, QP73 significantly induced FTO degradation in a time-, dose-, and ubiquitin-proteasome system-dependent manner and had superior antiproliferative activities to the FTO inhibitor Dac85 in various AML cell lines. Moreover, QP73 treatment significantly increased m⁶A modification on mRNA, promoted myeloid differentiation, and induced apoptosis of AML cells. Quantitative proteomics analysis showed that QP73 induced complete FTO degradation, upregulating RARA and ASB2 abundance and downregulating CEBPA, MYC, PFKP, and LDHB levels in AML cells. Lastly, QP73 exhibited antileukemic activity by increasing m⁶A modification and decreasing FTO levels in xenograft AML tumors. This proof-of-concept study shows that FTO-targeting PROTAC degraders can regulate the FTO signaling pathway and have potential antileukemia applications.

Amyotrophic Lateral Sclerosis (ALS) is a complex neurodegenerative disorder characterized by progressive axonopathy, jointly leading to the dying back of the motor neuron, disrupting both nerve signaling and motor control. In this review, we highlight the roles of axonopathy in ALS progression, driven by the interplay of multiple factors including defective trafficking machinery, protein aggregation, and mitochondrial dysfunction. Dysfunctional intracellular transport, caused by disruptions in microtubules, molecular motors, and adaptors, has been identified as a key contributor to disease progression. Aberrant protein aggregation involving TDP-43, FUS, SOD1, and dipeptide repeat proteins further amplifies neuronal toxicity. Mitochondrial defects lead to ATP depletion, oxidative stress, and Ca²⁺ imbalance, which are regarded as key factors underlying the loss of neuromuscular junctions and axonopathy. Mitigating these defects through interventions including neurotrophic treatments offers therapeutic potential. Collaborative research efforts aim to unravel ALS complexities, opening avenues for holistic interventions that target diverse pathological mechanisms.
Humans ; Amyotrophic Lateral Sclerosis/therapy* ; Animals ; Axons/metabolism* ; Mitochondria/metabolism* ; Motor Neurons/pathology*

Objective:To explore the mechanism of Ginseng Radix et Rhizoma- Notoginseng Radix et Rhizoma- Chuanxiong Rhizoma medicinal pair in delaying heart aging based on animal experiments, network pharmacology and molecular docking. Methods:Mice were divided into control group, aging group, metformin group and TCM group according to random number table method. All the groups were injected subcutaneously by D-galactose except the control group to build the subacute aging model. Two weeks later, the metformin group was given metformin suspension (150 mg/kg), the TCM group was given Ginseng Radix et Rhizoma- Notoginseng Radix et Rhizoma- Chuanxiong Rhizoma lyophilized powder solution (650 mg/kg), and the control group and aging group were given an equivalent volume of ultrapure water by gastric gavage, once a day, six times a week, for 10 weeks. The level of heart TERT mRNA was detected by PCR; the expression of heart p53 was observed by immunohistochemical staining; the morphology of heart tissue was observed by HE staining. TCMSP and SwissTargetPrediciton databases were used to retrieve the active components and targets of Ginseng Radix et Rhizoma- Notoginseng Radix et Rhizoma- Chuanxiong Rhizoma medicinal pair; TTD, OMIM, Gene, HAGR, DisGeNET and other data platforms were used to screen the targets of heart aging; after the drug and disease targets were intersected, the active components of them were collected; STRING database, Cytoscape 3.8.0 software, etc. were used to make PPI of the intersection targets, and screen out the key targets; FunRich was used to perform enrichment analysis of cellular components, molecular functions, biological processes, and biological signal pathways for key targets; Schr?dinger Maestro software was used to do the molecular docking of the screened active components and key targets, and docking results were visualized via PyMOL 2.1 software. Results:Experiment results showed that Ginseng Radix et Rhizoma- Notoginseng Radix et Rhizoma- Chuanxiong Rhizoma could significantly ameliorate the damage of aging heart tissues, elevate TERT mRNA level, while significantly reducing the positive expression of p53. A total of 32 active components from the medicinal pair were screened, corresponding to 637 target genes. There were 263 targets for heart aging, and 67 intersection targets of drug active component targets and heart aging targets. 31 key targets were obtained after screening. Enrichment analysis showed that molecular functions were related to transcription factor activity and protein-tyrosine kinase activity. Biological processes involved signal transduction and cell communication. Signaling pathways mainly involved PDGFR-beta, PI3K-Akt, S1P1, Glypican, TRAIL, and Glypican 1. The molecular docking results showed that kaempferol, suchilactone, and ginsenoside Rg5_qt in the medicinal pair had a strong binding ability to p53. Conclusion:Ginseng Radix et Rhizoma- Notoginseng Radix et Rhizoma- Chuanxiong Rhizoma may achieve the effect of delaying heart aging by inhibiting p53 expression, providing a foundation for further research on mechanism of invigorating qi and activating blood circulation drugs to delay heart aging.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

The application of robots in thoracic surgery is mainly based on the da Vinci general surgery robot. With the popularization of artificial intelligence (AI) application scenarios, the combination of AI and robots is more closely, and there is a strong clinical demand and huge application space for the development of specialized disease-specific robotic systems for thoracic surgery. This article aims to systematically describe the history of the rise of specialized surgical robots and the status of the localization of surgical robots in China, propose the concept of applying AI to the research and development of integrated specialized disease-specific robots in thoracic surgery, and clarify the ethics and prospects that intelligent specialized disease-specific surgical robots will face.

Helicobacter pylori (H. pylori), creating a global infection rate over 50%, presents great challenges in clinical therapies due to its complex pathological microenvironment in vivo. To improve the eradication efficacy, herein we fabricated a pharmaceutical vesicle RHL/Cl-Ch-cal where cholesterol-PEG, calcitriol and first-line antibiotic clarithromycin were co-loaded in the rhamnolipid-composed outer lipid layer. RHL/Cl-Ch-cal could quickly penetrate through gastric mucus layer to reach H. pylori infection sites, and then effectively destroyed the architecture of H. pylori biofilms, killed dispersed H. pylori and inhibited the re-adhesion of residual bacteria (called biofilms eradication tetralogy). Moreover, RHL/Cl-Ch-cal activated the host immune response to H. pylori by replenishing cholesterol to repair lipid raft on the cell membrane of host epithelial cells. Finally, RHL/Cl-Ch-cal killed the intracellular H. pylori through recovering the lysosomal acidification and assisting degradation. In experiments, RHL/Cl-Ch-cal demonstrated prominent anti-H. pylori efficacy in the classical H. pylori-infected mice model. Therefore, the study provides a "comprehensive attack" strategy for anti-H. pylori therapies including biofilms eradication tetralogy, immune activation and intracellular bacteria killing.