Follicular Helper T Cells(TFH)are a specialized subset of CD4+T cells that predominantly lo-calize within lymphoid follicles.These cells play a crucial role in facilitating B cell proliferation,differentia-tion,and antibody production,thereby thereby serving as a pivotal component of the adaptive immune re-sponse against infections.Given the significant function of TFH cells in regulating humoral immunity,they have become a focal point in the research of infectious diseases and related vaccine development in recent years.This review summarizes the surface markers of T follicular helper(Tfh)cells,their differentiation reg-ulatory mechanisms,and the latest research progress of Tfh cells in SARS-CoV-2 infection and vaccine stud-ies.It aims to provide new theoretical foundations and research insights for optimizing the design of SARS-CoV-2 vaccines and enhancing the cross-protection ability against SARS-CoV-2 variants.

Objective:To investigate intraoperative pathological findings and the interventional effects of "deep cervical lymphaticovenous anastomosis+" (dcLVA+) on deep cervical lymphatic drainage as well as the blood flow of carotid artery and jugular vein in elderly patients with cognitive impairment, and to put forward the thoughts based on the findings from the surgery.Methods:Between May 2024 and December 2024, retrospective analysis of Microsurgery Hospital, Fengcheng Hospital, Xi'an Medical College performed dcLVA+ between the deep cervical lymphatics or lymph nodes and jugular veins in 50 elderly patients with cognitive impairment (19 males and 31 females, aged 55-88 years with 69.94 years in average). Nine patients were found with Clinical Dementia Rating (CDR) score at 1 (mild), 7 with CDR score at 2 (moderate) and 34 with CDR score at 3 (severe). Intraoperative observations based on literature reviews had identified anatomical relationships between the lymphatic sacs containing cervical lymphatic chain and the carotid sheath. The lymph node count, size, distribution, thickness of fat tissue and conditions of lymphatic vessels were documented. Ultrasound was used to compare the blood flow of carotid artery and jugular vein as well as the cross-sectional areas at the planes of hyoid and cricoid cartilage before and after the closure of incisions under anaesthesia in 39 patients. Correlation analyses for Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCa), Activities of Daily Living (ADL) and Agitation behavior score before and 1 week after surgery were performed using Spearman's correlation and Wilcoxon paired tests. P<0.05 was considered statistically significant. Postoperative follow-ups were conducted via the visit of outpatient clinic and WeChat and telephone interviews. Results:In surgery, the cervical lymphatic chain was found running within an almost enclosed sac surrounding the carotid sheath. There were enlarged lymph nodes, increased fat deposition, lymphatic dilation or fibrosis in the sac. The preoperative blood flow in the carotid artery at the planes of hyoid and cricoid cartilage in the 39 patients was recorded at 150.52 ml/min±40.33 ml/min and 358.29 ml/min±129.30 ml/min, while that in the jugular vein was at 172.50 ml/min±63.94 ml/min and 317.00 ml/min±105.21 ml/min, respectively, both were far lower than the normal blood flow. There were statistically significant differences in the blood flow of carotid artery and jugular vein before and after surgery ( P<0.01). It was found that the preoperative blood flow of the internal carotid artery at the plane of hyoid was positively correlated with the preoperative scores of MMSE ( P<0.01), MoCa ( P<0.05) and ADL ( P<0.01). The blood flow of the common carotid artery at the plane of cricoid cartilage was found significantly and positively correlated with the preoperative scores of MMSE ( P<0.05). It was also noted that the blood flow of the internal carotid artery at the plane of hyoid was significantly and positively correlated with the postoperative ADL ( P<0.01) but negatively correlated with the Agitation behavior score ( P<0.05). The blood flow of the common carotid artery at the plane of cricoid cartilage was significantly and positively correlated with the postoperative scores of MMSE and MoCa ( P<0.05). The blood flow of the internal jugular vein at the plane of hyoid was negatively correlated with the Agitation behavior score ( P<0.01). The cross-sectional area of carotid artery at the plane of left hyoid was significantly and positively correlated with the MMSE score ( P<0.05). Statistically significant differences were observed in MMSE, MoCa, ADL and Agitation behavior score before and after surgery ( P<0.01). Conclusion:dcLVA+ shows a certain therapeutic benefit to the elderly patients with cognitive impairment. The intraoperatively observed pathological changes in cervical lymphatic sacs affect deep cervical lymphatic drainage and the blood flow of carotid artery and jugular vein. Further studies are necessary to find out whether the findings from this study would be the specific pathological changes and the morbidity mechanisms among the elderly patients with cognitive impairment.

Yi and Gui,its physiological characteristics and pathological manifestations are closely related to the lumbar spine.The intervertebral disc,chamber of arthrosis,requires nourishment from qi and blood circulation,as well as support from liver and kidney functions to maintain its health.Chinese medicine master Shi Qi has based on the pathological manifestations of discogenic low back pain patients at different stages and followed the guidelines of the Visceral manifestation theory.Combining more than 60 years of experience in traditional Chinese medicine diagnosis and treatment,he has used external observations to infer internal conditions and examined causes to find solutions.By entering the body from the outside and focusing on the"Homology of Yi and Gui"as a benchmark,he emphasizes the distinctive characteristic of traditional Chinese medicine in medical treatment.He states that"visceral pattern is fundamental"and"qi-blood is first,"emphasizing the importance of treating liver and kidney together.This article aims to draw on the wisdom of Taishan to provide a bridge for colleagues.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

Yi and Gui,its physiological characteristics and pathological manifestations are closely related to the lumbar spine.The intervertebral disc,chamber of arthrosis,requires nourishment from qi and blood circulation,as well as support from liver and kidney functions to maintain its health.Chinese medicine master Shi Qi has based on the pathological manifestations of discogenic low back pain patients at different stages and followed the guidelines of the Visceral manifestation theory.Combining more than 60 years of experience in traditional Chinese medicine diagnosis and treatment,he has used external observations to infer internal conditions and examined causes to find solutions.By entering the body from the outside and focusing on the"Homology of Yi and Gui"as a benchmark,he emphasizes the distinctive characteristic of traditional Chinese medicine in medical treatment.He states that"visceral pattern is fundamental"and"qi-blood is first,"emphasizing the importance of treating liver and kidney together.This article aims to draw on the wisdom of Taishan to provide a bridge for colleagues.