Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

Obesity is a worldwide health problem. An imbalance in energy metabolism is an important cause of obesity and related metabolic diseases. Our previous studies showed that inhibition of miR-429 increased the protein level of uncoupling protein 1 (UCP1) in beige adipocytes; however, whether local inhibition of miR-429 in subcutaneous adipose tissue affects diet-induced obesity and related metabolic disorders remains unclear. The aim of this study was to investigate the effect of local overexpression of miR-429 sponge in subcutaneous adipose tissue on obesity and related metabolic disorders. The control adeno-associated virus (AAV) or AAV expressing the miR-429 sponge was injected into mouse inguinal white adipose tissue. Seven days later, the mice were fed a high-fat diet for 10 weeks to induce obesity. The effects of the miR-429 sponge on body weight, adipose tissue weight, plasma glucose and lipid levels, and hepatic lipid content were explored. The results showed that the overexpression of miR-429 sponge in subcutaneous white adipose tissue reduced body weight and fat mass, decreased fasting blood glucose and plasma cholesterol levels, improved glucose tolerance, and alleviated hepatic lipid deposition in mice. Mechanistic investigation showed that the inhibition of miR-429 significantly upregulated the expression of UCP1 in adipocytes and adipose tissue. These results suggest that local inhibition of miR-429 in subcutaneous white adipose tissue ameliorates obesity and related metabolic disorders potentially by upregulating UCP1, and miR-429 is a potential therapeutic target for the treatment of obesity and related metabolic disorders.
Animals ; MicroRNAs/physiology* ; Obesity/metabolism* ; Mice ; Adipose Tissue, White/metabolism* ; Metabolic Diseases ; Subcutaneous Fat/metabolism* ; Male ; Uncoupling Protein 1/metabolism* ; Diet, High-Fat ; Mice, Inbred C57BL

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

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Objective:To investigate the changes in blood betatrophin in overweight and obese children，and analyze the relationship with glucose and lipid metabolism.Methods:A total of 177 children，including overweight-obese children and healthy controls，who visited the pediatric endocrinology clinic of Tianjin First Central Hospital from July 1，2021 to May 31，2023 were selected as study subjects. They were divided into an overweight-obese group（104 cases）and a normal control group（73 cases）. Data from both groups were collected and analyzed to explore the relationship between betatrophin and parameters such as body mass index（BMI）and glycolipid metabolism-related indicators.Results:The age［10.5（8.0，12.0）years vs 8.0（6.0，12.0）years］，fasting insulin［19.99（11.47，31.60）μIU/ml vs 7.27（5.02，10.99）μIU/ml］，triglyceride［0.95（0.74，1.31）mmol/L vs 0.75（0.62，0.92）mmol/L］，total cholesterol［（3.88 ± 0.72）mmol/L vs（3.60 ± 0.66）mmol/L］，low-density lipoprotein cholesterol［（2.37 ± 0.63）mmol/L vs（2.06 ± 0.62）mmol/L］，uric acid［353.20（287.40，434.12）μmol/L vs 278.60（218.00，313.80）μmol/L］，Betatrophin［22.54（17.08，27.53）mIU/L vs 19.30（15.78，23.33）mIU/L］，and fatty liver［31 cases（29.8%）vs 1 case（1.4%）］in overweight-obese group children were all higher than those in the normal control group children，and the differences were statistically significant（all P<0.01）.After adjusting for confounding factors such as age and BMI，partial correlation analysis revealed a positive correlation between betatrophin and triglycerides（ P<0.05）. Receiver operating characteristic（ROC）curve analysis indicated that a betatrophin level of 22 mIU/L had predictive value for hypertriglyceridemia，with an area under the curve（AUC）of 0.705（95% CI：0.566-0.843），showing statistical significance（ P=0.014）. Conclusion:Betatrophin may be associated with weight gain in children，mainly involved in the triglyceride metabolism.

Objective To explore the changes of plasma metabolites in Uygur and Kazak patients with type 2 diabetes mellitus(T2DM)and people with normal glucose tolerance(NGT),construct the profile of different metabolites and analyze different metabolic pathways.Methods Plasma samples of T2DM and NGT from Uygur and Kazak were collected for detection.Ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry was used for detection.MetaboAnalyst 5.0 was used to analyze the data,and the screening conditions were P＜0.05 and fold change(FC)＜0.90 or FC＞1.10.We used The Kyoto Encyclopedia of Genes and Genomes database to enrich and explore the metabolic pathways of different metabolites.Results Compared with the Uighur NGT group,there are 109 differential metabolites in the T2DM group,and 43 unique differential metabolites are mainly concentrated in five pathways,such as phenylalanine biosynthesis,tyrosine biosynthesis,and tryptophan metabolism.Compared with the NGT group,Kazak T2DM has 86 differential metabolites,and 28 unique differential metabolites are mainly enriched in the urea cycle,arginine,and proline metabolism(impact＞0.10,P＜0.05).Conclusion In this study,the plasma metabolic profile of T2DM patients was constructed,and the unique metabolites of T2DM in Uygur and Kazak were screened out,which provided potential biomarkers for early prevention of T2DM.

Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant solid tumor of the digestive system, characterized by rapid progression and difficulties of early diagnosis. Five-year survival rate of the patients is less than 9%. With the acceleration of global population aging and lifestyle change, the incidence of PDAC has been increasing annually. Currently, surgical treatment and chemotherapy remain the standard treatment options for PDAC patients. Early symptoms of PDAC are so undetectable that most patients miss the optimal opportunity for radical surgical resection. Even among those who undergo surgery, the high recurrence rate remains a major problem. PDAC is known for its unique tumor microenvironment. The cellular and non-cellular components in the tumor microenvironment account for as much as 90% of the tumor stroma, presenting many potential targets for PDAC therapy. Activated pancreatic stellate cells within PDAC tissue express specific proteins and secrete various cytokines and metabolites, which directly contribute to the proliferation, invasion, and metastasis of PDAC cells. These elements are critical in extracellular matrix production, connective tissue hyperplasia, immune tolerance, and drug resistance. Immune cells, such as macrophages and neutrophils, exert immunosuppressive and tumor-promoting roles in PDAC progression. The extracellular matrix, which serve as a natural physical barrier, induces interstitial hypertension and reduces blood supply, thereby hindering the delivery of drugs to the tumor. Additionally, it helps the metastasis and differentiation of PDAC cells, reducing the efficacy of clinical chemotherapy and immunotherapy. Although chemotherapeutic agents like gemcitabine have been used in the clinical treatment of PDAC for more than 20 years, the curative effect is obstructed by their poor stability in the bloodstream, low cellular uptake, and poor targeting. While small-molecule inhibitors targeting mutations such as KRAS^G12C, BRCA, and NTRK fusion have shown great potential for molecular targeted treatments and gene therapies of PDAC, their broader application is limited by side effects and restricted scope of patients. The advancement of nanotechnology brings new strategies for PDAC treatment. By virtue of unique size characteristics and actual versatility, different drug-delivery nanosystems contribute to overcome the dense stromal barrier, prolong the circulation time of therapeutics and realize precise PDAC treatment by targeted drug delivery. Clinical nanodrugs such as albumin-bound paclitaxel (nab-paclitaxel) and irinotecan liposome greatly improve the pharmacokinetics of conventional chemotherapeutics and promote drug accumulation inside the tumor, thereby are applying to the first-line treatment of PDAC. It is noteworthy that none nanodrugs with active targeting design have been approved for clinical treatment yet, though many are in clinical trials. In this review, we discuss promising targeting strategies based on different nanodrug delivery systems for treatment of PDAC. One major nanostrategy focuses on the tumor cell targeting and its applications in chemotherapy, molecular targeting therapy, gene therapy, and immunotherapy of PDAC. Another nanostrategy targets the tumor microenvironment, which highlights the nanosystems specifically regulating pancreatic stellate cells, immune cells and the extracellular matrix. Recent progress of developing new nanotheraputics for breakthrough in the fight of PDAC are elaborated in this review. We also provide our perspectives on the challenges and opportunities in the field.

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

AIM To analyze the component composition of Xeriga-4 Powder,and to determine the contents of phellodendrine,chlorogenic acid,gardenoside,berberine,rutin and curcumin.METHODS The high performance liquid chromatography-Q-exactive orbitrap mass spectrometry(HPLC-Q-Exactive-MS)qualitative analysis was performed on a 35℃thermostatic Agilent ZORBAX SB-Aq column(4.6 mm×150 mm,5 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.35 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning.High performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS)quantitative analysis was performed on a 35℃thermostatic Shim-pack GIST-HP C18 column(2.1 mm×100 mm,3 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.25 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning with multiple reaction monitoring mode.RESULTS Total 65 constituents were identified,containing 19 alkaloids,13 organic acids,13 flavonoids,7 curcumins,6 iridoids,4 fatty acids,2 aldehydes,and 1 amino acid.Six constituents showed good linear relationships within their own ranges(r≥0.999 1),whose average recoveries were 96.44%-102.37%with the RSDs of 2.05%-3.74%.CONCLUSION This study can provide a reference for the quality control for Xieriga-4 Powder.