Objective To systematically evaluate the risk prediction models for postoperative pulmonary infection in patients with esophageal cancer, providing an objective basis for clinical selection and optimization of models. Methods A systematic search was conducted in Chinese and English databases such as VIP, Wanfang, CNKI, CBM, PubMed, Cochrane Library, Embase, and Web of Science for studies related to the risk prediction models of postoperative pulmonary infection in patients with esophageal cancer from the inception to September 30, 2024. The PROBAST tool was used to assess the quality of prognostic model research, and the RevMan 5.4 software was used for meta-analysis of predictive factors. Results A total of 17 articles were included, containing 26 pulmonary infection risk prediction models. The area under the receiver operating characteristic curve (AUC) ranged from 0.627 to 0.942, among which 21 models had good predictive performance (AUC>0.7). Quality assessment through the PROBAST tool revealed that all 17 articles had a high risk of bias. Meta-analysis results showed that common predictive factors for postoperative pulmonary infection in esophageal cancer included smoking history (OR=1.97), smoking index ≥200 (cigarettes-years) (OR=4.38), smoking index ≥400 (cigarettes-years) (OR=2.00), age (OR=1.27), comorbid diabetes (OR=2.13), comorbid emphysema or chronic obstructive pulmonary disease (OR=1.55), low plasma albumin levels (OR=1.17), prognostic nutritional index (OR=4.45), history of related lung diseases (OR=2.10), tumor location (OR=2.32), surgical approach (OR=2.21), operation time (OR=1.73), preoperative serum procalcitonin levels (OR=3.06), anastomotic leakage (OR=3.39), reduced forced expiratory volume in the first second/forced vital capacity ratio (OR=0.86), and hoarseness (OR=2.23). Conclusion At present, the risk prediction models for postoperative pulmonary infection in esophageal cancer are still in the stage of continuous development and optimization, and their research quality needs to be further improved. Future research can refer to the predictive factors summarized in this study based on meta-analysis, combined with clinical practice, to select appropriate methods to construct and validate the risk prediction models for postoperative pulmonary infection in esophageal cancer, thus providing early targeted preventive strategies for high-risk patients.

Acute-on-chronic liver failure （ACLF） is a complex clinical syndrome， and early identification and accurate prognostic evaluation are of great importance for patient treatment and management. In recent years， with in-depth research on the pathogenesis of ACLF， multiple prognostic biomarkers have been proposed and used in clinical practice. This article systematically reviews the research advances in prognostic biomarkers for ACLF from the aspects of clinical predictive models， immunological biomarkers， metabolic biomarkers， genetic and epigenetic biomarkers， microbiome-related biomarkers， and emerging technologies such as artificial intelligence and multi-omics， and it also discusses the value and application prospects of these biomarkers in the prognostic evaluation of ACLF and proposes future research directions， in order to provide a scientific and comprehensive reference for clinicians， guide individualized treatment and management of ACLF patients， and finally improve the clinical outcomes of patients.

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

Over the past few decades, tumor immunotherapy has revolutionized the landscape of cancer clinical treatment. There is a flourishing development of combination strategies to improve the anti-tumor efficacy of mono-immunotherapy. However, instead of a straightforward combination of multiple therapeutics, it is more preferable to pursue a synergistic effect by designing rational combinations as well as administration strategies, which are based on a comprehensive understanding of the physiological and pathological features. In this case, the timing and spatial distribution of the combination drugs become essential factors in achieving improved therapeutic outcomes. Therefore, the concept of Sequential Drug Delivery System (SDDS) is proposed to define the spatiotemporally programmed drug delivery/release through triggers of internal conditions and/or external interventions, thus complying with the dynamic disease evolution and the human immunity. This review summarizes the recent advancements in biomaterial-based SDDSs used for spatiotemporally-tuned combination tumor immunotherapy. Furthermore, the rationales behind various engineering strategies are discussed. Finally, an overview of potential synergistic mechanisms as well as their prospects for combination immunotherapy is presented.

Objective To investigate the expression of serum micro ribonucleic acid(miR)-423-5p and fer-ritin in elderly osteoporosis(OP)and their relationship with hip fragility fracture.Methods A total of 79 eld-erly OP patients admitted to the hospital from March 2020 to March 2024 were selected as the observation group,and 62 healthy elderly patients with complete physical examination records and reports were selected as the control group during the same period.Patients in the observation group were divided into fracture group(42 cases)and non-fracture group(37 cases)according to the occurrence of hip fragility fracture.Serum miR-423-5p and ferritin levels were compared between the observation group and the control group and between the fracture group and the non-fracture group.The difference of bone mineral density(BMD)at different sites between the fracture group and the non-fracture group was compared.The correlation between serum miR-423-5p and ferritin and BMD at different sites was analyzed by Pearson,and the predictive value of serum miR-423-5p and ferritin in elderly hip fragility fractures was analyzed by receiver operating characteristic(ROC)curve.Results Serum miR-423-5p and ferritin in observation group were higher than those in control group,the differences were statistically significant(P＜0.05).The levels of serum miR-423-5p and ferritin in frac-ture group were higher than those in non-fracture group,and the differences were statistically significant(P＜0.05).Greater trochanteric BMD and total hip BMD in the non-fracture group were higher than those in the fracture group,and the differences were statistically significant(P＜0.05).According to Pearson correlation analysis,serum miR-423-5p and ferritin levels in elderly OP patients were negatively correlated with BMD de-tected in lumbar spine,femoral neck,greater trochanter,intertrochanter and total hip(P＜0.05).ROC curve analysis results showed that the sensitivity,specificity and the area under the curve(AUC)of serum miR-423-5p combined with ferritin were 0.786,0.892 and 0.818(95％CI:0.715-0.912),which were higher than the AUC predicted by the two alone and had higher predictive value(P＜0.05).Conclusion The combination of serum miR-423-5p and ferritin levels can predict the risk of hip fragility fracture in elderly OP patients.

Hepatitis B virus（HBV）infection poses a significant global health burden，with chronic infection driving progression to cirrhosis，hepatic failure，and hepatocellular carcinoma（HCC）. Mounting evidence implicates immune dysfunction and microbiota dysbiosis as core drivers of disease progression across all HBV infection stages. Gut and tissue-specific microbiota alterations disrupt innate/adaptive immunity，fueling inflammation，immunosuppression，and tumor immune evasion in chronic and end-stage disease. This review synthesizes mechanisms of immune-microbiota interplay in HBV pathogenesis and explores their translational potential for diagnostics and targeted interventions，including microbiota modulation and microbial biomarker applications.

Background and purpose:Human papilloma virus(HPV)infection status is crucial for diagnosing cervical precancerous lesions and classifying cervical cancer.High-risk(HR)HPV is often linked to P16 protein overexpression,so P16 detection via immunohistochemistry(IHC)is commonly used to assess HPV infection.However,the differences between HPV status and P16 expression remains unclear.An in-depth study of the correlation between HPV and P16 is essential for clinical guidance.Methods:We retrospectively collected clinical and pathological data of cervical lesions from 618 patients diagnosed at the Department of Pathology,Fudan University Shanghai Cancer Center from January 2020 to December 2023(Ethical number:050432-4-2307E).Polymerase chain reaction(PCR)reverse dot hybridization was used to detect HPV including HR and low-risk(LR)subtypes,and immunohistochemistry was used to detect P16 for comparative analysis.Based on different clinical and pathological diagnoses,the sensitivity and specificity of P16 expression in evaluating HPV infection were evaluated.Among the 618 cases of cervical lesions,there were 92 cases of cervical squamous cell carcinoma,257 cases of cervical adenocarcinoma,79 cases of high-grade squamous intraepithelial lesions(HSIL),105 cases of low-grade squamous intraepithelial lesions(LSIL),and 85 cases of chronic cervical inflammation.Results:According to clinical diagnosis,the HR-HPV positive rate in cervical squamous cell carcinoma was 88.0%(81/92),the P16 positive rate was 91.3%(84/92),and the overall consistency rate between P16 and HPV detection was 90.2%(88/92);for HR-HPV infection,the sensitivity and specificity of P16 were 96.3%and 45.5%.The positive rate of HR-HPV in adenocarcinoma was 54.5%(140/257),the positive rate of P16 was 58.8%(151/257),and the overall consistency rate between P16 and HPV detection was 82.5%(212/257);for HR-HPV infection,the sensitivity and specificity of P16 were 87.9%and 76.1%.In HSIL,the HR-HPV positive rate was 75.9%(60/79),the positive rate of P16 was 70.9%(56/79),and the overall consistency rate between P16 and HR-HPV detection was 82.2%(65/79);for HR-HPV infection,the sensitivity and specificity of P16 were 85.0%and 73.7%.In LSIL,the HR-HPV positive rate was 73.3%(77/105),the positive rate of P16 was 8.5%(9/105),and the overall consistency rate between P16 and HR-HPV detection was 33.3%(35/105);for HR-HPV infection,the sensitivity and specificity of P16 were 10.4%and 96.4%.In chronic cervical inflammation,the HR-HPV positive rate was 20%(17/85),the positive rate of P16 was 0.0%(0/85);for HR-HPV infection,the sensitivity and specificity of P16 were 0.0%and 100.0%.There was a significant positive correlation between P16 positivity and HPV16/18 in cervical squamous cell carcinoma,adenocarcinoma,and HSIL(P=0.000),while there was no significant correlation in LSIL and chronic cervical inflammation(P＞0.05).Conclusion:In cervical squamous cell carcinoma and adenocarcinoma,the consistency of P16 expression and HPV DNA positivity are high,especially in HPV16/18 subtype.There is a good concordance between HR-HPV positivity and P16 protein overexpression.The positive expression of P16 in HSIL may initially reflect HPV infection status.However,in LSIL and chronic cervicitis,P16 expression may not accurately correlate with HPV infection.The inconsistency between P16 and HPV DNA testing could be influenced by multiple factors,including HPV subtypes,histopathological categories,specimen quality,and technical limitations.In clinical practice,it is recommended to conduct comprehensive analysis or employ multiple diagnostic methods to confirm HPV infection status for precise evaluation.

Hypokalemia,a common clinical electrolyte disorder,can affect multiple systems and can be life-threatening in severe cases.Identifying the cause of hypokalemia is crucial for its prevention and treatment.However,the etiology of hypokalemia is complex and often requires detailed differential diagnosis.This article reports a rare clinical case of hypokalemia caused by long-term excessive consumption of strong tea and discusses its pathogenesis.The aim is to raise clinical awareness and understanding of the etiology of such cases of hypokalemia and reduce misdiagnosis and missed diagnosis.