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 feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective:To investigate the influencing factors for early tumor recurrence and the efficacy of adjuvant chemotherapy in gallbladder carcinoma (GBC) patients after curative-intent resection.Methods:The retrospective case-control study was conducted. The clinicopathological data of 506 patients with GBC in 11 medical centers, including The First Affiliated Hospital of Xi'an Jiaotong University et al, from January 2016 to December 2020 were collected. There were 168 males and 338 females, aged (62±11)years. All patients underwent curative-intent resection of GBC, and they were divided into patients with and without early recurrence based on time to postoperative recurrence. Observation indicators: (1) treatment; (2) follow-up and survival of patients; (3) analysis of influencing factors for early tumor recurrence after curative-intent resection of GBC; (4) efficacy of postoperative adjuvant chemotherapy. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. Univariate analysis was conducted using the corresponding statistical methods based on data type. Multivariate analysis was conducted using the Logistic regression model with forward method. The Kaplan-Meier method was used to draw survival curve and calculate survival rate, and Log-Rank test was used for survival analysis. Results:(1) Treatment. Of 506 patients, there were 112 cases with postoperative adjuvant chemotherapy, and 394 cases without postopera-tive adjuvant chemotherapy. They underwent 5(range, 3-9)cycles of postoperative adjuvant chemo-therapy. (2) Follow-up and survival of patients. All 506 patients underwent postoperative follow-up, with the follow-up time of 55(range, 34-93)months. During the follow-up, there were 248 patients with tumor recurrence, including 158 cases of early recurrence and 90 cases of late recurrence, and there were 258 patients without tumor recurrence. Of 506 patients, 275 cases survived, and 231 cases died of multiple organ failure caused by tumor recurrence and metastasis. The postoperative recurr-ence-free survival time, overall survival time were 52(range,1-93)months, 62(range, 2-93)months. The 1-, 3-, 5-year disease-free survival rates and 1-, 3-, 5-year overall survival rates of the 506 pati-ents were 68.8%, 53.8%, 47.9% and 78.3%, 58.7%, 51.6%, respectively. Results of survival analysis showed that the median overall survival time of 158 patients with postoperative early recurrence and 348 patients without postoperative early recurrence (including 90 cases of late recurrence and 258 cases of no tumor recurrence) were 9(range, 2-73)months and unreached, showing a significant difference between them ( χ2=456.15, P<0.05). (3) Analysis of influencing factors for early tumor recurrence after curative-intent resection of GBC. Results of multivariate analysis showed that carcinoembryonic antigen (CEA) >5.0 μg/L, poorly differentiated tumor, liver invasion, and tumor N staging as stage N1-N2 were independent risk factors influencing early tumor recurrence after cura-tive-intent resection of GBC ( odds ratio=2.74, 6.20, 1.81, 2.93, 4.82, 95% confidence interval as 1.62-4.64, 1.82-21.12, 1.15-3.08, 1.68-5.09, 1.91-12.18, P<0.05), while postoperative adjuvant chemo-therapy was an independent protect factor ( odds ratio=0.39, 95% confidence interval as 0.21-0.71, P<0.05). (4) Efficacy of postoperative adjuvant chemotherapy. The median overall survival time of 394 patients without postoperative adjuvant chemotherapy and 112 patients with postoperative adjuvant chemotherapy were 57(range, 2-93)months and unreached, showing a significant differ-ence between them ( χ2=9.38, P<0.05). Of the 158 patients with postoperative early recurrence after curative-intent resection of GBC, 135 cases didn't receive adjuvant chemotherapy and 23 cases received adjuvant chemotherapy, with the overall survival time of 8(range, 2-73)months and 17(range, 8-61)months, respectively, showing a significant difference between them ( χ2=7.68, P<0.05). Conclusions:CEA >5.0 μg/L, poorly differentiated tumor, liver invasion, and tumor N staging as stage N1-N2 are independent risk factors influencing early tumor recurrence after curative-intent resection of GBC, while postoperative adjuvant chemotherapy is an independent protect factor. Postoperative adjuvant chemotherapy can prolong the overall survival time of patients with post-operative tumor early recurrence.

Objective To compare the safety and efficacy of direct thrombectomy versus bridging thrombectomy in the treatment of acute anterior circulation large vessel occlusion stroke under different collateral circulation statuses.Methods Totally 93 patients with acute anterior circulation ischemic stroke admitted to the First Affiliated Hospital of Xinxiang Medical University from September 2020 to March 2023 were selected as the research subjects.Patients were divided into direct throm-bectomy group(n=47)and bridging thrombectomy group(n=46)based on the type of thrombectomy.Patients in the direct thrombectomy group received direct intravascular thrombectomy,while patients in the bridging thrombectomy group received intravenous thrombolysis with alteplase combined with mechanical thrombectomy.According computed tomography angiography,the collateral circulation Tan classification was applied to divide the patients into good collateral circulation sub-group and poor collateral circulation sub-group.The modified thrombolysis in cerebral infarction grading(mTICI)was used to evaluate vessel recanalization.Head computed tomography plain scan was performed at 24-48 hours postoperatively to assess if there was hemorrhagic transformation,and modified Rankin Scale score was performed at 90 days postoperatively.Information such as imaging examination time,femoral artery puncture time,vessel recanalization time after thrombectomy,prognosis and spontaneous non-traumatic symptomatic intracerebral hemorrhage(SICH)were collected.Results The age,gender,baseline Alberta stroke program early computed tomography score,baseline national institutes of health stroke scale score,proportions of hypertension,diabetes and atrial fibrillation,baseline systolic pressure,creatinine,baseline blood glucose,platelet count,occlusion site,stroke etiologies and collateral circulation status of patients in the two groups were not statistically significantly different(P＞0.05).There were no significant differences in the post-admission imaging examination time,femoral artery puncture time,vessel recanalization time after thrombectomy,successful vascular reperfusion rate,good prognosis rate,mortality rate,and SICH incidence between the two groups(P＞0.05).The hemorrhagic transformation rate of patients in the direct thrombectomy group was significantly lower than that in the bridging thrombectomy group(P＜0.05).There were no significant differences in the post-admission imaging examination time,femoral artery puncture time,vessel recanalization time after thrombectomy,successful vascular reperfusion rate,good prognosis rate,mortality rate,and SICH incidence between patients with good collateral circulation and patients with poor collateral circulation in the two groups(P＞0.05).The hemorrhagic transformation rate of patients with good and poor collateral circulation in the direct thrombectomy group was significantly lower than that in the bridging thrombectomy group(P＜0.05).Conclusion Under different collateral circulation conditions,the safety and efficacy of direct thrombectomy and bridging thrombectomy in the treatment of acute anterior circulation large vessel occlusion stroke are similar,but bridging thrombectomy is more likely to result in cerebral hemorrhage transformation compared with direct thrombectomy.

ObjectiveThe purpose of this study was to investigate the effects of transcutaneous electrical acupoint stimulation (TEAS) on cognitive function of vascular dementia (VD) rats and its mechanism. MethodsVD rat model was established by modified two-vessel occlusion (2-VO). After modeling, TEAS and electroacupuncture (EA) were used to stimulate Baihui and Zusanli points of rats respectively for 14 d. After treatment, novel object recognition test, Morris water maze test, and Y maze test were used to evaluate the spatial memory and learning ability of rats. Hematoxylin and eosin staining was used to observe the morphology of hippocampal neurons. Transmission electron microscopy was used to observe the ultrastructure of hippocampal mitochondria. Enzyme-linked immunosorbent assay kits were used to detected the levels of SOD, CAT, GSH-Px, MDA and ROS in serum of rats. Western blot was used to detect the expression of PGC-1α, TFAM, HO-1, NQO1 proteins in the hippocampus, Keap1 protein in the cytoplasm and Nrf2, NRF1 proteins in the nucleus. ResultsAfter treatment for 14 d, compared to the model group, the escape latency of VD rats decreased, while the discrimination index, the times of rats crossing the original platform area, the residence time in the original platform quadrant, and the percentage of alternation increased. TEAS can improve the structure of hippocampal neurons and mitochondria of VD rats, showing that neurons were arranged more regularly and distributed more evenly, nuclear membrane and nucleoli were clearer, and mitochondrial swelling were reduced, mitochondrial matrix density were increased, and mitochondrial cristae were more obvious. The levels of SOD, GSH-Px and CAT in serum increased significantly, while the concentration of MDA and ROS decreased. TEAS also up-regulated the expression levels of PGC-1α TFAM, NQO1 and HO-1 proteins in the hippocampus and Nrf2, NRF1 proteins in the nucleus, but down-regulated the Keap1 protein in the cytoplasm. ConclusionTEAS can improve cognition, hippocampal neurons and mitochondrial structure of VD rats, and the effect is better than EA. The mechanism may be the activation of PGC-1α mediated mitochondrial biogenesis and antioxidant stress, which also provides a potential therapeutic technology and experimental basis for the treatment of VD.

There are huge differences between tumor cells and normal cells in material metabolism, and tumor cells mainly show increased anabolism, decreased catabolism, and imbalance in substance metabolism. These differences provide the necessary material basis for the growth and reproduction of tumor cells, and also provide important targets for the treatment of tumors. Ferroptosis is an iron-dependent form of cell death characterized by an imbalance of iron-dependent lipid peroxidation and lipid membrane antioxidant systems in cells, resulting in excessive accumulation of lipid peroxide, causing damage to lipid membrane structure and loss of function, and ultimately cell death. The regulation of ferroptosis involves a variety of metabolic pathways, including glucose metabolism, lipid metabolism, amino acid metabolism, nucleotide metabolism and iron metabolism. In order for tumor cells to grow rapidly, their metabolic needs are more vigorous than those of normal cells. Tumor cells are metabolically reprogrammed to meet their rapidly proliferating material and energy needs. Metabolic reprogramming is mainly manifested in glycolysis and enhancement of pentose phosphate pathway, enhanced glutamine metabolism, increased nucleic acid synthesis, and iron metabolism tends to retain more intracellular iron. Metabolic reprogramming is accompanied by the production of reactive oxygen species and the activation of the antioxidant system. The state of high oxidative stress makes tumor cells more susceptible to redox imbalances, causing intracellular lipid peroxidation, which ultimately leads to ferroptosis. Therefore, in-depth study of the molecular mechanism and metabolic basis of ferroptosis is conducive to the development of new therapies to induce ferroptosis in cancer treatment. Ferroptosis, as a regulated form of cell death, can induce ferroptosis in tumor cells by pharmacologically or genetically targeting the metabolism of substances in tumor cells, which has great potential value in tumor treatment. This article summarizes the effects of cellular metabolism on ferroptosis in order to find new targets for tumor treatment and provide new ideas for clinical treatment.