Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.

Objective: To evaluate the suitability of the existing hemolysis rate standards for locally processed red blood cell components by retrospectively analyzing 5-year hemolysis rate data at the end of storage. Methods: A total of 720 blood samples of three types of red blood cell components from our blood station from January 2019 to December 2023 were collected. Parameters included hemoglobin concentration (Hb), hematocrit (Hct), and free hemoglobin concentration (fHb). Hemolysis rate were taken as the control standard of 0.8% in accordance with the national standard. The hemolysis rates were compared against the national standard threshold of 0.8% (GB18469-2012), and annual trends of the detection parameters were observed. Results: The hemolysis rates (x-+s,%) of leukocyte-depleted whole blood at the end of storage were (0.038±0.023 8) in 2019, (0.049±0.039 5) in 2020, (0.043±0.040 7) in 2021, (0.049±0.030 7) in 2022, and (0.058±0.054 8) in 2023, respectively; The hemolysis rates (x-+s" />,%) of leukocyte-depleted suspended red blood cells at the end of storage were (0.093±0.050 2) in 2019, (0.086±0.049 5) in 2020, (0.123±0.072 3) in 2021, (0.122±0.052 1) in 2022, and (0.106±0.058 6) in 2023, respectively; The hemolysis rates (x-+s,%) of washed red blood cells at the end of storage were (0.127±0.038 2) in 2019, (0.150±0.066 5) in 2020, (0.121±0.052 2) in 2021, (0.124±0.038 9) in 2022, and (0.128±0.044 3) in 2023, respectively. Conclusion: Hemolysis rates at the end of blood storage of three red blood cell components were significantly lower than the limits specified in Quality Requirements for Whole Blood and Components (GB18469-2012), as well as standards from the EU, AABB and the United States. The results demonstrate excellent product quality control. A regional internal control standard of <0.2% is proposed for hemolysis rates at the end of storage.

Hepatocellular carcinoma （HCC） is a common malignant tumor with a high mortality rate， an insidious onset， and complex pathological mechanisms. In the tumor microenvironment， tumor-promoting immune cells protect tumor cells from immune attacks， while dysfunction of anti-tumor immune cells causes the inhibition of immune response， thereby leading to the continuous deterioration of cancer. In recent years， traditional Chinese medicine has shown good efficacy in the treatment of HCC， and it can inhibit the proliferation and metastasis of cancer cells by regulating immune cells. By analyzing related articles in China and globally， this article summarizes how immune cells affect the progression of HCC through the immunosuppressive pathway and how traditional Chinese medicine exerts an anti-HCC effect by regulating immune cells， in order to provide theoretical basis and reference for optimizing the treatment of HCC.

Objective:Objective The potential of a three- dimensional bioprinted cell-laden gelatin methactyloyl (GelMA)+ hyaluronic acid (HA) composite bioink in tissue engineering was assessed by evaluating cell viability, scaffold morphology, and cell compatibility.Methods:Rabbit chondrocytes were isolated and cultured. Composite hydrogels were prepared using GelMA and HA, and their applicability in tissue engineering was assessed by evaluating physicochemical properties, cytocompatibility, and printability. The swelling and mechanical properties of 100g/L GelMA inks as the control group, and 100g/L GelMA+ 20g/L HA inks as the experimental group were assessed following photocrosslinking of the cylindrical model. The printing resolution of the GelMA/HA mesh scaffold loaded with chondrocytes was evaluated based on appearance and expansion ratio. Cell viability was determined using cell live/dead test after 14 days, while cytocompatibility was observed through in vitro microscopy and multiple immunofluorescence staining after 7 days. GraphPad Prism 8.0 was utilized for data visualization and statistical analysis. Independent-samples t-test was employed to compare differences among groups. A P-value less than 0.05 was considered statistically significant. Results:The swelling ratio of GelMA group was 10.57±0.40, which exceeded that of the GelMA+ HA group (7.63±0.61, P<0.05). The compressive elastic modulus of GelMA+ HA group measured (77.53±4.30) kPa, significantly surpassing that of the GelMA group [(25.60±5.70) kPa, P<0.05]. The extension ratio of GelMA was 2.59±0.33, while the experimental group recorded 2.66±0.12, with no statistically significant difference between them ( P>0.05). There were no notable disparities in cell viability between the two groups; both exhibited viabilities greater than 85%. On the initial day of culture, both groups exhibited intact structures, regular pores, and a substantial number of spherical cells. After 14 days of culture, the GelMA scaffold structure appeared blurred with nearly vanished pores, while large live cells were visible. The GelMA+ HA scaffold structure was slightly more relaxed with relatively intact pores and a significant presence of live cells. Furthermore, multiple immunofluorescence staining after 7 days of culture revealed no notable disparity in cell count and collagen components between the two groups; however, cell morphology in the GelMA+ HA group displayed significant elongation and clustering. Conclusion:The GelMA+ HA hydrogel exhibits enhanced mechanical properties and reduced swelling ratio, rendering it suitable for the fabrication of complex structures. Additionally, it demonstrates excellent cell compatibility.

Objective:To evaluate the relationship between transverse sinus stenosis (TSS) and cerebral blood flow in normal adults based on four-dimensional flow (4D Flow) MRI.Methods:The study was a cross-sectional study. Totally 81 normal volunteers who underwent magnetic resonance venography (MRV) and 4D Flow MRI were prospectively enrolled at Beijing Friendship Hospital, Capital Medical University from January 2020 to December 2022. Based on MRV evaluation of transverse sinus dysplasia, the volunteers were divided into a dysplasia group (26 cases) and a non-dysplasia group (55 cases); The area of the stenosis and the normal transverse sinus at the distal end were measured. The degree of TSS and the bilateral average transverse sinus stenosis (BA-TSS) were calculated. TSS was determined using TSS levels of 1/3, 1/2, and 2/3 as thresholds, and was divided into three groups: no TSS group, unilateral TSS group, and bilateral TSS group, with 28, 39, and 14 cases, 37, 37, and 7 cases, and 43, 36, and 2 cases, respectively. Based on 4D Flow MRI, the blood flow of the internal carotid artery, vertebral artery, superior sagittal sinus, straight sinus, and transverse sinus distal and proximal ends were measured. The cerebral blood flow (bilateral internal carotid artery blood flow+bilateral vertebral artery blood flow), venous sinus return blood flow 1 (superior sagittal sinus blood flow+straight sinus blood flow), return blood flow 2 (sum of bilateral transverse sinus distal end blood flow), return blood flow 3 (sum of bilateral transverse sinus proximal end blood flow), and the ratio of return blood flow to cerebral blood flow were calculated. Independent sample t-test was used to compare the differences between the group with and without transverse sinus dysplasia; Single factor analysis of variance was used to compare the differences between the TSS free group, unilateral TSS group, and bilateral TSS group. Based on single factor linear regression, the relationships between BA-TSS and blood flow parameters were analyzed.Results:There was no statistically significant difference in various blood flow parameters between the group with and without transverse sinus dysplasia (all P>0.05). When using 1/3, 1/2, and 2/3 as thresholds, there was no statistically significant difference in various blood flow parameters between the non TSS group, unilateral TSS group, and bilateral TSS group (all P>0.05). BA-TSS was linearly positively correlated with cerebral blood flow (β=0.986, 95% CI 0.108-1.865, P=0.028), but not linearly correlated with return blood flow 1, 2, and 3 (all P>0.05). The degree of BA-TSS was linearly negatively correlated with return blood flow 1/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.009) and return blood flow 2/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.018), but not with return blood flow 3/cerebral blood flow ( P=0.076). Conclusion:The BA-TSS degree in normal adults is positively correlated with cerebral blood inflow and negatively correlated with the proportion of venous sinus outflow.

Transformer models have emerged as pivotal tools within the realm of drug discovery,distinguished by their unique architectural features and exceptional performance in managing intricate data landscapes.Leveraging the innate capabilities of transformer architectures to comprehend intricate hierarchical dependencies inherent in sequential data,these models showcase remarkable efficacy across various tasks,including new drug design and drug target identification.The adaptability of pre-trained trans-former-based models renders them indispensable assets for driving data-centric advancements in drug discovery,chemistry,and biology,furnishing a robust framework that expedites innovation and dis-covery within these domains.Beyond their technical prowess,the success of transformer-based models in drug discovery,chemistry,and biology extends to their interdisciplinary potential,seamlessly combining biological,physical,chemical,and pharmacological insights to bridge gaps across diverse disciplines.This integrative approach not only enhances the depth and breadth of research endeavors but also fosters synergistic collaborations and exchange of ideas among disparate fields.In our review,we elucidate the myriad applications of transformers in drug discovery,as well as chemistry and biology,spanning from protein design and protein engineering,to molecular dynamics(MD),drug target iden-tification,transformer-enabled drug virtual screening(VS),drug lead optimization,drug addiction,small data set challenges,chemical and biological image analysis,chemical language understanding,and single cell data.Finally,we conclude the survey by deliberating on promising trends in transformer models within the context of drug discovery and other sciences.

OBJECTIVE: To investigate the value of difference between hematocrit (HCT) and albumin (Alb) in predicting the prognosis of patients with sepsis. METHODS: A retrospective study was conducted on the septic patients hospitalized at the First Affiliated Hospital of Guangxi Medical University from January to October in 2024. Clinical data including gender, age, body mass index (BMI), history of hypertension or diabetes, vital signs on admission, and sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score, blood lactic acid (Lac), oxygenation index (PaO₂/FiO₂), hemoglobin (Hb), white blood cell count (WBC), platelet count (PLT), lymphocyte count (LYM), HCT, Alb, difference between HCT and Alb, bilirubin, scrum creatinine (SCr), and fibrinogen (Fib) within 48 hours of admission were collected. The 28-day prognosis of patients was also recorded. Binary multivariate Logistic regression analysis was used to identify risk factors for 28-day death in patients with sepsis. The predictive efficacy of the difference between HCT and Alb on 28-day death was evaluated using the receiver operator characteristic curve (ROC curve). RESULTS: Among 180 enrolled septic patients, 140 survived and 40 died on 28 days. Compared with the survival group, the patients in the death group was significantly older (years old: 64±16 vs. 55±15, P < 0.05), and had higher SOFA score, APACHE II score, and SCr [SOFA score: 6 (4, 9) vs. 3 (2, 5), APACHE II score: 13 (10, 18) vs. 8 (6, 11), SCr (μmol/L): 136 (70, 416) vs. 77 (58, 126), all P < 0.05] as well as lower Hb, PLT, HCT, difference between HCT and Alb, and Fib within 48 hours of admission [Hb (g/L): 90±30 vs. 106±79, PLT (×10⁹/L): 158 (57, 240) vs. 215 (110, 315), HCT: 0.258±0.081 vs. 0.333±0.077, difference between HCT and Alb: -6.52±7.40 vs. 1.07±7.63, Fib (g/L): 3.72±1.57 vs. 4.59±1.55, all P < 0.05]. No significant difference in gender, BMI, history of hypertension or diabetes, vital signs on admission, or other laboratory indicators was found between the two groups. Binary multivariate Logistic regression analysis revealed that age [odds ratio (OR) = 1.040, 95% confidence interval (95%CI) was 1.004-1.078, P = 0.030], APACHE II score (OR = 1.218, 95%CI was 1.038-1.430, P = 0.016), Hb (OR = 1.040, 95%CI was 1.014-1.068, P = 0.003), and difference between HCT and Alb (OR = 0.804, 95%CI was 0.727-0.889, P < 0.001) were independent risk factors for 28-day death of septic patients. ROC curve analysis showed that the area under the ROC curve (AUC) of difference between HCT and Alb for predicting 28-day death of septic patients was 0.764 (95%CI was 0.679-0.849, P < 0.001). A cut-off value of difference between HCT and Alb ≤ -5.35 yielded a sensitivity of 80.7% and specificity of 65.0%. CONCLUSIONS The difference between HCT and Alb at early admission is a valuable predictor of prognosis in septic patients. A difference ≤ -5.35 indicates an increased death risk of septic patients.
Humans ; Prognosis ; Sepsis/blood* ; Retrospective Studies ; Hematocrit ; Serum Albumin/analysis* ; Male ; Female ; Middle Aged ; Aged ; APACHE

Objective To study the role of photobiomodulation(PBM)in promoting the repair of spinal cord injury(SCI)by regulating microglial cells.Methods Forty-five C57BL/6J mice were randomly divided into the sham operation(Sham)group,surgery(SCI)group and the treatment(SCI+PBM)group,with 15 mice in each.After laminectomy of the T10 vertebral body in the three groups of mice,the SCI group and the SCI+PBM group were used to construct the model of spinal cord hemisection.The SCI+PBM group received immediate PBM treatment after spinal cord injury,while the other two groups did not.On the 1st,3rd,7th,14th,21st and 28th days(D1,D3,D7,D14,D21,D28)after the operation,the Basso Mouse Scale(BMS)was used to assess the recovery of the hind limb motor function of the mice.On the 28th day post operatively,immunofluorescence was used to detect the changes of neurons in the areas of injury in the three groups of mice.Quantitative real-time PCR and Western blotting experiments were used to detect the phenotypic changes of BV2 cells under the interventions of PBM with inflammatory stimulation.Western blotting experiments were conducted to detect the effects of PBM on the nuclear factor kappa-B(NF-κB)pathway.Results On the 28th day after the operation,the results of the mouse motor assessment showed that the BMS scores and related behaviors of the mice in the SCI+PBM group were better than those of the mice in the SCI group(P＜0.05),and the neurons in the SCI+PBM group far outnumbered those in the SCI group(P＜0.05).The results of quantitative real-time PCR and Western blotting experiments showed that on the 14th day after the operation,PBM promoted the activation of M2-type microglial cells in vivo but inhibited the activation of M1-type microglial cells.In vitro experiments confirmed that PBM could promote the polarization of BV2 cells towards M2-type microglial cells.In addition,PBM inhibited the activation of the NF-κB pathway in injured spinal cords and in activated BV2 cells.Conclusion PBM can promote the repair of spinal cord injury in SCI mice by promoting microglial cells through inhibiting the NF-κB pathway.

Nucleotide-binding oligomerization domain (NOD)-like receptor protein 3 (NLRP3) is a cytosolic pattern recognition receptor that recognizes multiple pathogen-associated molecular patterns and damage-associated molecular patterns. It is a cytoplasmic immune factor that responds to cellular stress signals, and it is usually activated after infection or inflammation, forming an NLRP3 inflammasome to protect the body. Aberrant NLRP3 inflammasome activation is reportedly associated with some inflammatory diseases and metabolic diseases. Recently, there have been mounting indications that NLRP3 inflammasomes play an important role in liver injuries caused by a variety of diseases, specifically hepatic ischemia/reperfusion injury, hepatitis, and liver failure. Herein, we summarize new research pertaining to NLRP3 inflammasomes in hepatic injury, hepatitis, and liver failure. The review addresses the potential mechanisms of action of the NLRP3 inflammasome, and its regulation in these liver diseases.
Humans ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Inflammasomes/physiology* ; Animals ; Liver Diseases/metabolism* ; Liver/metabolism* ; Reperfusion Injury/metabolism*