Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment. Oral squamous cell carcinoma (OSCC), a representative hypoxic tumor, has a heterogeneous internal metabolic environment. To clarify the relationship between different metabolic regions and the tumor immune microenvironment (TME) in OSCC, Single cell (SC) and spatial transcriptomics (ST) sequencing of OSCC tissues were performed. The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data. The metabolic activity of each spot was calculated using scMetabolism, and k-means clustering was used to classify all spots into hyper-, normal-, or hypometabolic regions. CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others. Through CellPhoneDB and NicheNet cell-cell communication analysis, it was found that in the hypermetabolic region, fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts (iCAFs), and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12. The secretion of CXCL12 recruits regulatory T cells (Tregs), leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment. This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC, ST and TCGA bulk data, and highlights potential targets for therapy.
Humans ; Carcinoma, Squamous Cell/metabolism* ; Squamous Cell Carcinoma of Head and Neck ; Mouth Neoplasms/metabolism* ; Immunosuppression Therapy ; Transforming Growth Factor beta ; Head and Neck Neoplasms ; Gene Expression Profiling ; Tumor Microenvironment

Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P＜0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P＜0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P＜0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.

Objective To explore the occurrence of adverse reactions to vaccination in children with special health status in Kunming and the corresponding countermeasures.Methods The information data of 952 children with special health conditions who were vaccinated at the Child Healthcare Department of the Kunming Children's Hospital from October 2021 to February 2023 were collected,and descriptive methods were used for epidemiological analysis.Results The detection rate of adverse reactions in children with special health conditions in Kunming was 10.92%(104/952),all of which were mild adverse reactions.The top three vaccines with the highest detection rates of adverse reactions were adsorbed acellular pertussis-diphtheria-tetanus vaccine(Pertussis-Diphtheria-Tetanus),measles-mumps-rubella attenuated live vaccine(Measles-Mumps-Rubella),and meningococcal polysaccharide vaccine group A and C(Meningococcal A+C),with detection rates of 7.00%,4.14%,and 3.08%,respectively.The detection rate of adverse reactions in children with premature birth,allergy,and anemia after vaccination was higher,with detection rates of 13.87%,11.03%,and 10.05%,respectively.The detection rate of adverse reactions after more than two vaccinations was 73.08%,which was higher than the first vaccination detection rate of 26.92%.The clinical manifestations of vaccine adverse reactions were mainly fever,redness,and induration,with detection rates of 39.42%,21.15%,and 18.27%,respectively.The detection rate of adverse reactions in children with special health conditions under the age of two was higher,accounting for 75.00%.The detection rate of adverse reactions within 24 hours after vaccination was higher,accounting for 62.50%.After timely symptomatic treatment and follow-up observation,all adverse reactions in children with special health conditions after vaccination recovered within 7 days.Conclusion Adverse reactions after vaccination in children with special health conditions in Kunming are predominantly mild.The detection rate of adverse reactions post-vaccination for pertussis,measles,mumps,and meningococcal A+C is notably high.Children under 2 years old with premature birth,allergy,and anemia are more likely to have adverse reactions after vaccination.These adverse reactions typically manifest within 24 hours post-vaccination and resolve within 7 days.

The occurrence of benign prostate hyperplasia(BPH)was related to disrupted sex steroid hormones,and metformin(Met)had a clinical response to sex steroid hormone-related gynaecological disease.How-ever,whether Met exerts an antiproliferative effect on BPH via sex steroid hormones remains unclear.Here,our clinical study showed that along with prostatic epithelial cell(PEC)proliferation,sex steroid hormones were dysregulated in the serum and prostate of BPH patients.As the major contributor to dysregulated sex steroid hormones,elevated dihydrotestosterone(DHT)had a significant positive rela-tionship with the clinical characteristics of BPH patients.Activation of adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK)by Met restored dysregulated sex steroid hormone homeostasis and exerted antiproliferative effects against DHT-induced proliferation by inhibiting the formation of androgen receptor(AR)-mediated Yes-associated protein(YAP1)-TEA domain transcription factor(TEAD4)heterodimers.Met's anti-proliferative effects were blocked by AMPK inhibitor or YAP1 over-expression in DHT-cultured BPH-1 cells.Our findings indicated that Met would be a promising clinical therapeutic approach for BPH by inhibiting dysregulated steroid hormone-induced PEC proliferation.

Foods can be contaminated with foodborne pathogens through a variety of pathways, including water, air and soil. Food safety events caused by foodborne pathogens show a serious impact on human health. However, due to the diversity of foodborne pathogens and the complexity of food matrices, the rapid detection of foodborne pathogens was difficult. The conventional microbial culture and physiological and biochemical identification can hardly meet the need of rapid detection of foodborne pathogens in the field. It is necessary to develop rapid detection technologies for foodborne pathogens. Clustered regularly interspaced short palindromic repeats (CRISPR) and associated protein (Cas) are an adaptive immune systems of prokaryotes with specific recognition and cleavage of nucleic acid sequences, which shows good potential for development of nucleic acid detection and biosensing in the field. According to different forms of application, paper-based analytical devices can be categorized into test paper, lateral flow assay and microfluidic paper-based chips, etc. As a good simplicity and low-cost analytical testing tools, they show good prospects in the field of rapid testing. Therefore, the rapid and sensitive detection of foodborne pathogens can be realized by combining the efficient recognition ability of CRISPR/Cas system and the simplicity of paper-based analytical devices. In this paper, we briefly introduce an overview of the CRISPR/Cas system for nucleic acid detection, and this section focuses on an overview of the features and principles of the class 2 system, including types II, V and VI, which uses a single effector. The application of CRISPR/Cas system based test paper analysis, lateral flow assay and microfluidic paper-based chips for the detection of foodborne pathogens are highlighted in the paper, and finally the advantages, current challenges and future prospects of CRISPR/Cas system in combination with paper-based analytical devices to establish detection methods are discussed.

ObjectiveHair is an essential skin appendage, primarily composed of keratins and keratin-associated proteins. The protein composition and proportion of hair samples vary among different races and sexes. Currently, there is a lack of efficient methods to extract hair proteins. This study aims to explore the application of quantitative hair proteomics in distinguishing individual hair characteristics. MethodsBased on the exploration of sample processing and lysis buffer using three hair samples, we developed a stable and efficient hair protein extraction method, named PLEE (PTM lab for protein extraction from hair with high efficiency). We used the PLEE method to extract seven human hair samples and performed proteomic experiments on them using in-gel digestion method to produce data for analyzing hair protein composition and proportion among individuals. ResultsA total of 274 proteins were identified, among which 107 proteins were commonly present, and the number of non-common proteins ranged from 57-119, with some samples having unique identification proteins. Using the 107 commonly identified proteins for quantitative protein fractionation analysis, various samples were distinguished by clustering and principal component analysis, and technical repeated samples were merged, indicating the stability of the process. In addition, 10 key proteins (KRT33A, KRTAP9-6, KRT83, KRTAP7-1, KRT32, BLMH, KRT38, KRTAP11-1, NPAS1, KRTAP4-3) with large differences between individuals and stable protein identification within the same individual were screened. ConclusionThe protein composition of hair varies among different individuals, and the 10 selected proteins are expected to be key proteins for distinguishing individual hair characteristics and have significant potential applications in individual identification and criminal investigation.

Pancreatic cancer is among the most malignant cancers,and thus early intervention is the key to better survival outcomes.However,no methods have been derived that can reliably identify early precursors of development into malignancy.Therefore,it is urgent to discover early molecular changes during pancreatic tumorigenesis.As aberrant glycosylation is closely associated with cancer progression,numerous efforts have been made to mine glycosylation changes as biomarkers for diagnosis;however,detailed glycoproteomic information,especially site-specific N-glycosylation changes in pancreatic cancer with and without drug treatment,needs to be further explored.Herein,we used comprehensive solid-phase chemoenzymatic glycoproteomics to analyze glycans,glycosites,and intact glycopeptides in pancreatic cancer cells and patient sera.The profiling of N-glycans in cancer cells revealed an increase in the secreted glycoproteins from the primary tumor of MIA PaCa-2 cells,whereas human sera,which contain many secreted glycoproteins,had significant changes of glycans at their specific glycosites.These results indicated the potential role for tumor-specific glycosylation as disease biomarkers.We also found that AMG-510,a small molecule inhibitor against Kirsten rat sarcoma viral oncogene homolog(KRAS)G12C mutation,profoundly reduced the glycosylation level in MIA PaCa-2 cells,suggesting that KRAS plays a role in the cellular glycosylation process,and thus glycosylation inhibition contributes to the anti-tumor effect of AMG-510.

Objective:To evaluate the efficacy and safety of Burosumab in patients with X-linked hypophosphatemic rickets.Methods:Clinical data of 9 children diagnosed with X-linked hypophosphatemic rickets and treated with Burosumab in the Department of Pediatric Nephrology, Anhui Children′s Hospital from November 2021 to September 2023 were retrospectively analyzed, including the general information, clinical manifestations, auxiliary examination, Burosumab treatment and follow-up.Results:Among the 9 cases, there were 5 males and 4 females, with a median age at diagonosis of 2 years. After traditional treatment, the fluctuation of serum phosphorus ranged from 0.7 to 0.9 mmol/L. The median age at the initiation of Burosumab treatment was 2.8 years, and the initial dosage was 0.8 mg/kg, administrated subcutaneously every 2 weeks. The laboratory and imaging indexes were improved after 6 months of Burosumab treatment, and the mean serum phosphorus level increased from(0.81±0.14) mmol/L to(1.02±0.10) mmol/L at 1 month( t=3.85, P=0.001) and(1.14±0.25) mmol/L at 6 months( t=3.58, P=0.002). The average alkaline phosphatase(ALP) level decreased from(509.89±110.10) U/L before treatment to(447.89±106.76) U/L after 1 month( t=1.21, P=0.243). After 6 months, the ALP level significantly decreased to(385.89±60.33) U/L ( t=2.96, P=0.009). The average height percentile increased from 18.42±10.09 before treatment to 26.56±16.59 after 6 months( t=1.26, P=0.227). Rachitis severity scores of both lower limbs ranged from 4.61±1.36 before treatment to 3.06±1.51 after 6 months( t=2.29, P=0.036). No serious adverse events occurred during treatment. Conclusion:Burosumab is safe and effective in treating X-linked hypophosphatemic rickets, exhibiting minimal side effects and significant clinical applicability value.

Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.

Tumor progression is closely related to tumor tissue metabolism and reshaping of the microenvironment.Oral squamous cell carcinoma(OSCC),a representative hypoxic tumor,has a heterogeneous internal metabolic environment.To clarify the relationship between different metabolic regions and the tumor immune microenvironment(TME)in OSCC,Single cell(SC)and spatial transcriptomics(ST)sequencing of OSCC tissues were performed.The proportion of TME in the ST data was obtained through SPOTlight deconvolution using SC and GSE103322 data.The metabolic activity of each spot was calculated using scMetabolism,and k-means clustering was used to classify all spots into hyper-,normal-,or hypometabolic regions.CD4T cell infiltration and TGF-β expression is higher in the hypermetabolic regions than in the others.Through CellPhoneDB and NicheNet cell-cell communication analysis,it was found that in the hypermetabolic region,fibroblasts can utilize the lactate produced by glycolysis of epithelial cells to transform into inflammatory cancer-associated fibroblasts(iCAFs),and the increased expression of HIF1A in iCAFs promotes the transcriptional expression of CXCL12.The secretion of CXCL12 recruits regulatory T cells(Tregs),leading to Treg infiltration and increased TGF-β secretion in the microenvironment and promotes the formation of a tumor immunosuppressive microenvironment.This study delineates the coordinate work axis of epithelial cells-iCAFs-Tregs in OSCC using SC,ST and TCGA bulk data,and highlights potential targets for therapy.