Currently, clinically used drugs for the treatment of gout inflammation, such as colchicine, nonsteroidal anti-inflammatory drugs, and glucocorticoids, can only relieve the pain of joint inflammation and have severe hepatorenal toxicity and multiple organ adverse reactions. The NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome is a key complex that induces the onset of gout inflammation and has become a crucial target in the development of anti-gout drugs. This article reviews the research progress of anti-gout small molecules targeting the NLRP3 inflammasome and their bioactivity evaluation methods in the past five years, in order to provide information for the development of specific drugs for the treatment of gout inflammation.

Fever of unknown origin(FUO)is a difficulty in clinical diagnosis and treatment.Patients with FUO come to seek medical consultation usually with fever as the main complaint,and the accompanying symptoms and signs are generally atypical.The pathogenesis of FUO remains conflicting in the field of modern western medicine,and its treatment is still focused on empirical anti-inflammatory management,which has the deficiency of delayed diagnosis,limited therapeutic options,poor therapeutic effects,and obvious adverse reactions.In the field of traditional Chinese medicine(TCM),FUO generally results from the dysfunction of zang-fu organs and the imbalance of yin and yang,and has the clinical features of long duration of illness,unknown etiology,complexity of illness,recurrent attacks,and difficult to be cured.Based on the six-meridian syndrome differentiation,Chief Physician LI Chuang-Peng pointed out that the pathogenesis of FUO is characterized by the combined disease of shaoyin and yangming,and put forward the therapeutic principle of warming shaoyin and unblocking yangming.He proposed the use of Dahuang Fuzi Decoction(mainly composed of Rhei Radix et Rhizoma and Aconiti Lateralis Radix Praeparata)plus Yiyi Fuzi Baijiang Powder(mainly composed of Coicis Semen,Aconiti Lateralis Radix Praeparata and Patriniae Herba)to subside fever and eliminate pathogen,together with Asari Radix et Rhizoma for guiding the medicine directly to the shaoyin.Moreover,therapies of strengthening and activating spleen and stomach,nourishing yin to produce fluid,and unblocking the blood vessels can be used for eliminating the pathogen and supporting the healthy qi.

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.

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 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.

Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.

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.

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.