Hepatic fibrosis refers to excessive accumulation and abnormal proliferation of fibrous connective tissue in the liver triggered by multiple pathogenic factors， and it may progress to liver cirrhosis， portal hypertension， and liver cancer. The pathological mechanisms of hepatic fibrosis involve hepatocyte injury， inflammatory cell infiltration with the release of inflammatory mediators， hepatic stellate cell activation， and extracellular matrix deposition. Recent studies have focused on mitochondrial dysfunction in disease progression， including the molecular pathways for hepatic fibrosis driven by metabolic disorders， energy deficiency， oxidative stress， mitochondrial dynamic imbalance， and autophagic dysfunction， all of which can induce liver injury. This article reviews the latest advances in hepatic fibrosis， in order to provide new therapeutic strategies for clinical management.

Background Per- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants widely used in various products, leading to population exposure and long-term accumulation. At present, there is a lack of research on the relationships between pre-pregnancy PFAS and menstrual characteristics among women undergoing assisted reproductive technology (ART) in China. Objective To explore the relationships between pre-pregnancy PFAS exposure among women undergoing ART and menstrual characteristics prior to assisted reproductive treatment. Methods This study employed a cross-sectional research design, recruiting women undergoing ART treatment at the Reproductive Clinic of the International Peace Maternity & Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, from 2017 to 2020 as study participants. Ultra-high-performance liquid chromatography-tandem mass spectrometry was used to detect 42 types of PFAS in pre-pregnancy serum samples. Questionnaires were administered to collect information on demographic characteristics, lifestyle habits, and menstrual characteristics (average menstrual cycle length, average menstrual period length, menstrual irregularities, and menstrual bleeding volume) of women undergoing ART. Multiple linear regression, binary logistic regression, and multinomial logistic regression analyses were performed to investigate the relationships between individual PFAS exposure before pregnancy and menstrual characteristics among ART women. Additionally, weighted quantile sum (WQS) model was applied to analyze the association between PFAS mixtures and menstrual characteristics. Results In the pre-pregnancy serum samples of the study population, 15 PFAS were detected in more than 60% of the samples, including perfluoroheptanoic acid (PFHpA), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), perfluorododecanoic acid (PFDoDA), perfluorobutanesulfonic acid (PFBS), perfluorohexanesulfonic acid (PFHxS), perfluoroheptanesulfonic acid (PFHpS), perfluorooctanesulfonic acid (PFOS), 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl-PFESA), 8:2 chlorinated polyfluorinated ether sulfonate (8:2 Cl-PFESA), perfluoro-2-propoxypropanoic acid (HFPO-DA), perfluoro-2-methoxyacetic acid (PFMOAA), and perfluoro-(3,5,7,9,11-pentaoxadodecanoic) acid (PFO5DoDA). Among them, PFOA had the highest median concentration of 9.160 ng·mL⁻¹. The single PFAS exposure analysis revealed a positive correlation between PFAS and irregular menstrual cycles. Specifically, for every natural-log unit (e) increase in PFOA, PFBS, or PFHxS level, the incidence of irregular menstrual cycles increased by 57%, 42%, or 39%, respectively. Most PFAS were positively correlated with the average number of menstrual cycle days, such as PFHpA (b=1.08, 95%CI: 0.11, 2.05), PFOA (b=1.69, 95%CI: 0.39, 3.00), PFBS (b=1.23, 95%CI: 0.25, 2.22), PFHxS (b=1.47, 95%CI: 0.61, 2.32), PFHpS (b=1.48, 95%CI: 0.35, 2.61), and 6:2 Cl-PFESA (b=0.90, 95%CI: 0.08, 1.72). Furthermore, levels of PFHpA (OR=1.39, 95%CI: 1.06, 1.82), PFOA (OR=1.58, 95%CI: 1.09, 2.30), PFBS (OR=1.37, 95%CI: 1.04, 1.80), PFHxS (OR=1.34, 95%CI: 1.05, 1.71), PFHpS (OR=1.53, 95%CI: 1.10, 2.14), and 6:2 Cl-PFESA (OR=1.34, 95%CI: 1.06, 1.70) were positively correlated with low menstrual blood volume, while PFOA (OR=0.40, 95%CI: 0.23, 0.71), PFHpS (OR=0.45, 95%CI: 0.29, 0.71), and HFPO-DA (OR=0.68, 95%CI: 0.48, 0.97) were negatively correlated with high menstrual blood volume. The mixed exposure model showed that PFAS mixtures were positively correlated with the average number of menstrual cycle days (b=1.60, 95%CI: 0.49, 2.71), irregular menstrual cycles (OR=1.77, 95%CI: 1.19, 2.63), and low menstrual blood volume (OR=1.59, 95%CI: 1.08, 2.35), but negatively correlated with high menstrual blood volume (OR=0.40, 95%CI: 0.22, 0.73). Conclusion Women undergoing ART in Shanghai are widely exposed to PFAS prior to conception. Exposure to PFAS before pregnancy may be related to menstrual characteristics among women seeking ART before undergoing fertility treatments, but additional data from larger populations are required to validate the findings of this study.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

High-performance phototheranostics with combined photothermal therapy and photoacoustic imaging have been considered promising approaches for efficient cancer diagnosis and treatment. However, developing phototheranostic materials with efficient photothermal conversion efficiency (PCE), especially over the second near-infrared window (NIR-II, 1000-1700 nm), remains challenging. Herein, we report an ultraefficient NIR-II-activated nanomedicine with phototheranostic and vaccination capability for highly efficient in vivo tumor elimination and metastasis inhibition. The NIR-II nanomedicine of a semiconducting biradical oligomer with a motor-flexible design was demonstrated with a record-breaking PCE of 87% upon NIR-II excitation. This nanomedicine inherently features extraordinary photothermal stability, good biocompatibility, and excellent photoacoustic performance, contributing to high-contrast photoacoustic imaging in living mice and high-performance photothermal elimination of tumors. Moreover, a whole-cell vaccine based on a NIR-II nanomedicine with NIR-II-activated performance was further designed to remotely activate the antitumor immunologic memory and effectively inhibit tumor occurrence and metastasis in vivo, with good biosafety. Thus, this work paves a new avenue for designing NIR-II active semiconducting biradical materials as a promising theranostics platform and further promotes the development of NIR-II nanomedicine for personalized cancer treatment.

[This corrects the article DOI: 10.1016/j.jpha.2023.08.006.].

Objective:To investigate the clinical and genetic characteristics of developmental and epileptic encephalopathy (DEE) caused by SLC1A2 gene mutations. Methods:The clinical manifestations, auxiliary examination results, and genetic testing results of a patient with DEE caused by SLC1A2 gene mutations who was treated at Epilepsy Center, Children's Hospital Affiliated to Shandong University on February 6, 2021 were summarized. Cases of SLC1A2 gene mutations were searched using keywords " SLC1A2" and "developmental and epileptic encephalopathy" in CNKI, Wanfang, and PubMed databases, retrieving literature published from the establishment of these databases to September 2024. Bioinformatics analysis was performed; the clinical and genetic characteristics of DEE caused by SLC1A2 gene mutations were summarized. Results:The main manifestations of the patient were rhythmic shaking of the right upper limb or focal motor seizures of bilateral upper limbs, or focal spasm of right upper limb (elevation for once). Ictal electroencephalogram showed 2-3 Hz polymorphic slow waves in the left central area, parietal area and central midline area, affecting the opposite side, or spike rhythm with decreased frequency in the right frontal area, central area and midline area, or polymorphic slow waves in the left central area and central midline area. Whole-exome sequencing indicated a heterozygous de novo mutation in the SLC1A2 gene: c.254T>G/p.Leu85Arg. A total of 7 patients with DEE caused by SLC1A2 gene mutations were retrieved from 5 related literature. All 8 patients (including the patient in our hospital) presented with epileptic seizure, developmental delay, and abnormal EEG; all of them were sporadic cases with de novo heterozygous missense mutations of SLC1A2 gene. Bioinformatics analysis showed that the 4 amino acid residues Gly82, Leu85, Pro289, and Pro333 in the 8 patients were located in the intolerance region of SLC1A2 gene encoding glutamate transporter protein 2 (EAAT2). The 5 amino acid mutations (Leu85Arg, Leu85Pro, Gly82Arg, Pro333Ser, Pro289Arg) in the 8 patients all led to significant changes in number and binding of hydrogen bonds between amino acid residues in EAAT2; except for Gly82Arg mutation, the other 4 mutations could obviously reduce the structural stability of EAAT2. Conclusion:De novo heterozygous missense mutations in SLC1A2 gene can lead to DEE, characterized by developmental delay, EEG abnormalities, and epileptic seizure; these mutations are typically located in critical regions of EAAT2, potentially resulting in reduced protein structural stability.

Background and objective Pulmonary sarcomatoid carcinoma(PSC)is a rare subtype of non-small cell lung cancer(NSCLC),which is featured by low incidence,high malignancy rate,robust aggressive behavior and inferior prognosis.To date,there is no standardized treatment.The aim of this study is to better understand and accumulate more clini-cal experience of the disease by summarizing the clinicopathological features,diagnosis methods,therapeutic regimen and prognostic factors of PSC.Methods A total of 39 patients with PSC who diagnosed and received treatment in Beijing Chest Hospital from December 2013 to December 2023 were retrospectively recruited,and information including demographic char-acteristics,clinicopathological features,tumor-node-metastasis(TNM)stage,diagnosis method and therapeutic regimen were carefully collected.Meanwhile,follow-up was conducted.Kaplan-Meier method was used to analyze the prognostic factors of the disease.Results The PSC patients in this study ranged in age from 45 to 76 years old,including 35 males and 4 females.There were no specific clinical manifestations of PSC at initial diagnosis.Among the 39 patients,20 underwent surgical resec-tion and 19 received palliative chemoradiation or symptomatic supportive treatment.The 1-year and 5-year survival rates were 61.90％and 35.20％respectively.Univariate analysis indicated that family history of carcinoma,primary tumor site,TNM stage,lymph node metastasis,distant metastasis,whether or not received surgical resection,surgical method,treatment regimens,tumor tissue programmed cell death ligand 1(PD-L1)expression＞1％and mesenchymal-epithelial transition factor(MET)pathway abnormalities were correlated with the overall survival(OS)of patients(P＜0.05).In the subsequent multivariate analysis,lymph node metastasis emerged as the only independent prognosticator in predicting inferior OS(P=0.037).Conclu-sion PSC is rarely seen in clinical practice and commonly occurs in elder men with smoking history.Tumor tissue PD-L1 ex-pression＞1％and MET abnormalities may predict inferior prognosis of PSC and lymph node metastasis was determined as the independent prognosticator of PSC.Surgical resection along with adjuvant medical treatment is the cornerstone for early and locally advanced patients,and the clinical utility of molecular targeting therapy and immunotherapy in PSC needs to be further investigated.

Objective To establish the sheep model of lumbar spine osteoporosis in vitro,and to search the texture parameters with identification significance and establish its regression formula relation with DXA measured bone mineral density,bone ash density and bone ash degree.Methods The L1-L3 trigeminy verte-bral body in 120 sheep conducted the immersion and decalcification by EDTA-Na2 solution (0.4916 mmol/L) immersion method,the muscles and attachment bone were removed.Then they were randomly divided into 4 groups (group A,B,C and D),30 cases in each group.They were immersed in 10％ formaldehyde solution for anticorrosion.The group A,B,C and D were immersed in the prepared EDTA-Na2 solution for decalcification 0,4,9,15 d to prepare the in vitro osteoporosis models.Thin-slice CT scan and DXA bone density measure-ment on the above-mentioned lumbar vertebrae were performed,and the volume and dry weight of each verte-bral body were measured,and then calcined at a constant temperature of 1100 ℃ in a muffle furnace for 6 h to measure the weight of ashes.The bone ash weight,bone ash density and bone ash degree were measured.The MaZda texture analysis software was used to conduct the texture analysis on the cancellous substance of the vertebral body in the above CT images,and the texture features were screened by the Fisher coefficient,classi-fication error probability combined with average correlation coefficient,interactive information and the three combined method.The 4 groups of bone mineral density conducted the classification analysis by the original data analysis (ODA),principal component analysis (PCA),linear discriminant analysis (LDA) and nonlinear discriminant analysis (NDA).The correlation analysis between the texture parameters screened by the above method with the bone density,bone grey degree and bone ash density for searching the texture parameters with strongest correlation.The texture parameters with strongest correlation served as the independent varia-bles,the bone density,bone grey degree and bone ash density as the dependent variables,and the unitary and binary linear regression analyses were performed for obtaining the regression equation.Results With the pro-longation of decalcification time,the CT images showed that the bone cortex gradually thinned,the cancellous bone density was decreased,and the trabecular bone became sparse.The identification ability of FPM com-bined with NDA was strongest,and the false judgment rate was only 2.5％.Among them,the contrast in the gray symbiosis matrix had strongly negative correlation with the bone gray degree (r=-0.938).The entropy in the gray co-occurrence matrix had strongly negative correlation with the bone ash density and bone mineral density (r=-0.927,-0.896).The unitary linear regression equation was expressed as bone grey degree=0.692-0.002×Contrast,bone ash density=0.802-0.121×Entropy,bone density=1.301-0.200×Entro-py.Conclusion The significant correlation exists between some texture parameters and bone mineral density related parameters in thin slice CT images of sheep lumbar spine,which could establish a regression formula relationship.

Osteoporosis can be induced by various factors including prolonged glucocorticoid usage, diminished estrogen levels, secondary hyperparathyroidism, and alterations in the microenvironment of bone tissue. The bone metabolism imbalance(osteogenic-lipogenic imbalance) plays a crucial role in the development of osteoporosis. This imbalance is primarily driven by an increase in the differentiation of bone marrow mesenchymal stem cells into adipocytes and a decrease in their differentiation into osteoblasts, thus forming the core of the osteogenic-lipogenic imbalance observed in osteoporosis. The bone morphogenesis protein(BMP) plays a crucial role in the regulation of the osteogenic-lipid balance in osteoporosis. This regulatory function is accomplished through both the Smad-dependent and Smad-independent pathways. This review centers on the Smad-dependent and Smad-independent pathways facilitated by BMP, offering a comprehensive overview of the potential mechanisms through which BMP-2, 4, 6, 7, and 9 contribute to the regulation of osteogenesis and lipid metabolism in osteoporosis via these pathways. In order to present novel insights for the identification of efficacious targets for clinical anti-osteoporosis medications.

Chlorinated polyfluoroalkyl ether sulfonic acid (Cl-PFESA, trade name F-53B), a substitute for perfluorooctane sulfonate (PFOS), notably featuring 6:2 Cl-PFESA and 8:2 Cl-PFESA as its primary components, are the most biologically persistent per-and polyfluoroalkyl substances (PFAS) currently known. Since its initial synthesis in China in 1975, F-53B has served as an antifogging agent in the electroplating industry for over four decades. Recently, F-53B has been detected across various matrix and human samples, ranking among the top three PFAS concentrations in maternal and umbilical cord blood sera in China, according to available epidemiological studies. Current limited epidemiological studies indicate that F-53B poses multiple adverse effects on maternal and infant health. Therefore, this article reviewed the exposure levels of F-53B in mothers and infants, along with its adverse health effects, thereby providing insights for evaluating the toxic effects of F-53B on maternal and infant health and establishing safety thresholds.