Despite breakthroughs in immunotherapy for solid tumors, significant variations in treatment efficacy persist. Up to 80% of cancer patients suffer from malnutrition, which leads to: lymphoid atrophy and reduced T-cell reserves; deficiency of substrates required for T-cell activation and expansion; concurrent inflammation hindering T-cell infiltration into tumors; and cachexia accelerating PD-1 antibody clearance. Clinical studies confirm that severe malnutrition significantly impairs immune responses and increases the risk of treatment toxicity. Therefore, implementing standardized nutritional therapy is crucial for optimizing the reserve, activation, expansion, and infiltration capacity of immune cells, thereby providing a sound immune system foundation for immunotherapy. Immunonutrition therapy, by enhancing immunonutrients such as arginine, omega-3 polyunsaturated fatty acids, and nucleotides, reduces the secretion of pro-inflammatory mediators and promotes T-cell activation and proliferation. This enhances anti-tumor immune responses, prolongs survival, and advances cancer treatment towards multimodal combination and precision approaches.

Thyroid hormone(TH)is an iodinated derivative of the amino acid tyrosine secreted by the thyroid gland.It promotes glycolipid metabolism and is involved in various physiological and pathological processes by regulating cellular behaviors, such as cell proliferation, differentiation, and apoptosis. Recent studies have found that aberrant expression of TH in the orbit, retina, and sclera, and other ocular tissues can induce abnormal differentiation of orbital soft tissue adipocytes, alteration of retinal oxidative stress, and degradation of posterior scleral extracellular matrix(ECM), which contributes to the pathogenesis of many ophthalmic diseases, including Graves ophthalmopathy(GO), age-related macular degeneration(ARMD), diabetic retinopathy(DR), and myopia. This article reviews the role and mechanism of TH in various ophthalmic diseases, aiming to provide theoretical basis for the prevention and treatment of these ocular disorders.

Objective:To systematically analyze the incidence and influencing factors of frailty in elderly patients with hematologic malignancies.Methods:Research on frailty in elderly patients with hematologic malignancies was retrieved from Chinese and English databases such as China National Knowledge Infrastructure, Wanfang Data, PubMed, and Web of Science. The search period was from database establishment to August 23, 2024. Two researchers screened the included studies, conducted quality assessment, and extracted data. Meta-analysis was conducted using Stata 18 and RevMan 5.4.Results:A total of seven studies were included, encompassing 19 076 elderly hematologic malignancy patients, with a frailty incidence of 59% [95% CI (0.48, 0.69) ]. Meta-analysis revealed that age [ MD=4.31, 95% CI (3.67, 4.96) ], gender [ OR=0.88, 95% CI (0.83, 0.93) ], alcohol consumption [ OR=1.67, 95% CI (1.15, 2.44) ], self-care ability [ MD=-1.79, 95% CI (-3.17, -0.41) ], anemia [ OR=6.67, 95% CI (2.94, 15.14) ], infection [ OR=1.81, 95% CI (1.16, 2.84) ], and neuropathy [ OR=2.52, 95% CI (1.38, 4.61) ] were the influencing factors of frailty in elderly patients with hematologic malignancies. Conclusions:The incidence of frailty is high in elderly patients with hematologic malignancies. Elderly patients with hematologic malignancies who are older, female, consume alcohol, have low self-care ability, anemia, infections, and neuropathy are prone to frailty. Healthcare providers can conduct early screening and intervention for high-risk populations of frailty based on risk factors to improve the quality of life for elderly hematologic malignancy patients.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

Objective To compare the effects of quadratus lumborum block at the lateral supra-arcuate ligament(QLB-LSAL)versus subcostal transversus abdominis plane block(STAPB)on perioperative analgesia and postoperative inflammation in patients undergoing laparoscopic radical resection of colorectal cancer.Methods In this prospective randomized study,we recruited 102 patients undergoing laparoscopic colorectal cancer surgery between October 2022 and October 2024 under general anesthesia and randomly assigned them to two groups:QLB-LSAL(Group Q,n=51)and STAPB(Group S,n=51).Mean arterial pressure(MAP)and heart rate(HR)were recorded before anesthesia induction(T0),before surgical incision(T1),start of surgery(T2),during pneumoperitoneum establishment(T3),during peritoneal lavage(T4),at the end of surgery(T5),and upon leaving the operating room(T6).Intraoperative remifentanil consumption,time to first patient-controlled analgesia demand,and frequency of effective compression and rescue analgesia were recorded.Visual Analog Scale(VAS)scores at rest and during coughing were assessed at 24,48,and 72 hours postoperatively.Interleukin-6(IL-6)and systemic immune-inflammatory index(SII)at 1 day preoperatively,1,and 3 days postoperatively were recorded.Postoperative recovery indicators and adverse events were also recorded.Results Group Q demonstrated significantly lower MAP and HR compared with Group S from T3 to T6(P<0.05).Group Q had significantly lower intraoperative remifentanil consumption,significantly longer time to first analgesic pump demand,fewer effective pump compres-sion,and lower frequency for rescue analgesia requests(all P<0.05).VAS scores at rest and during coughing in Group Q were significantly lower at 24 h and 48 h postoperatively(P<0.05).As compared with preoperative levels,both IL-6 and SII increased at 1 and 3 days postoperatively,but magnitude of increase in Group Q was smaller than in Group S(P<0.05).In comparison to Group S,Group Q demonstrated significantly earlier ambulation,shorter hospital stay,and fewer adverse events(P<0.05).Conclusion QLB-LSAL is superior to STAPB in enhancing perioperative analgesia,attenuating inflammatory response,and accelerating postoperative rehabilitation in patients undergoing laparoscopic colorectal cancer resection.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

Objective:To explore the associations of temperature, relative humidity, and their interaction effect with fall risk.Methods:Data on fall cases were collected using the national injury surveillance system from May to September, in 2006-2022 in Hubei Province. Combined with the meteorological and air pollution data, we conducted a time-stratified case-crossover design and used conditional logistic regression models and distributed lag nonlinear models to examine the exposure-response relationships between temperature, humidity, and fall risk. We further divided the low and the high temperature groups and the low and the high relative humidity groups and analyzed the excess risk ( ER) of falls attributed to dry-hot or wet-hot events. Finally, we calculated the additive interactions of temperature and humidity on fall risk. Results:A total of 55 401 fall cases were included. With the increase in temperature and relative humidity decrease, the exposure-response curves of fall showed nonlinear upward trends among all populations. Gender and age differences were found in temperature-fall and relative humidity-fall risk relationships. Compared with wet-non-hot (normal temperature and high relative humidity) events, the ER of fall in dry-hot (high temperature and low relative humidity) events was 14.80% (95% CI: 9.69%- 20.15%), and the ER of wet-hot (high temperature and high relative humidity) events was 9.59% (95% CI: 2.52%-17.13%). However, there was no statistically significant difference between dry-hot and wet-hot events in the fall, and no statistically significant difference between different genders, ages, occupations, and fall occurred place (all P>0.05). No significant synergistic additive interaction was found between temperature and relative humidity on fall risk (relative excess risk due to interaction=-0.08, 95% CI: -0.19-0.02). Conclusions:Higher temperatures and lower relative humidity were associated with increased fall risk. Both dry-hot and wet-hot events had a higher risk of fall, while high temperature and low humidity have no synergistic effect on fall risk.

Objective:To investigate the targets and mechanisms of cycloastragenol in ameliorating azithromycin-induced drug-induced liver injury(DILI)based on network pharmacology and in vitro experiment validation.Methods:Potential targets of cycloastragenol and DILI were predicted using databases.The common and key targets were screened and subjected to GO and KEGG enrichment analyses,as well as molecular docking validation.Primary hepatocytes from C57BL/6 mice were isolated.The optimal concentration and time for azithromycin-induced DILI in mouse primary hepatocytes were determined using CCK8 and ROS assays.The expression of genes and proteins such as NF-κB p65,p-NF-κB p65,AMPKα,and p-AMPKα was assessed using RT-qPCR and Western blot to evaluate the intervention effect of cycloastragenol(10-50 μmol/L).Results:Network pharmacology analysis identified 10 key genes related to cycloastragenol's improvement of DILI,including heat shock protein 90AA1(HSP90AA1),matrix metalloproteinase 2(MMP2),etc.GO enrichment analysis suggested that cycloastragenol primarily regulates biological processes such as membrane potential and chemical synaptic transmission,and affects cellular components such as neuronal cell bodies and distal axons,and related kinase activities.KEGG enrichment analysis showed that it mainly exerts intervention effects through neuro-signaling pathways and IL-17 signaling pathways.Molecular docking demonstrated strong binding of cycloastragenol to HSP90AA1,MMP2,NF-κB p65,AMPKα,nuclear factor erythroid 2-related factor 2(Nrf2),heme oxygenase 1(HO-1),and NAD(P)H:quinone oxidoreductase 1(NQO1),with a binding energy≤-5.0 kcal/mol for Nrf2.In vitro experiments showed that azithromycin(50 μmol/L,12 h)significantly reduced hepatocyte viability and increased ROS levels(P＜0.01).Different concentrations of cycloastragenol significantly improved the activity of mouse primary hepatocytes,reduced the generation of intracellular ROS,downregulated the phosphorylation level of NF-κB p65,and upregulated the mRNA and protein levels of AMPKα,Nrf2,HO-1,NQO1(P＜0.05).Conclusions:Cycloastragenol may alleviate azithromycin-induced hepatocyte oxidative stress and inflammation by inhibiting NF-κB phosphorylation and activating the AMPK/Nrf2/HO-1/NQO1 pathway,with its mechanism likely closely linked to targeting Nrf2.However,the complex mechanisms of DILI may involve additional unverified pathways.Therefore,further studies are necessary to validate the efficacy and safety of cycloastragenol in animal models.

Objective:To explore the associations of temperature, relative humidity, and their interaction effect with fall risk.Methods:Data on fall cases were collected using the national injury surveillance system from May to September, in 2006-2022 in Hubei Province. Combined with the meteorological and air pollution data, we conducted a time-stratified case-crossover design and used conditional logistic regression models and distributed lag nonlinear models to examine the exposure-response relationships between temperature, humidity, and fall risk. We further divided the low and the high temperature groups and the low and the high relative humidity groups and analyzed the excess risk ( ER) of falls attributed to dry-hot or wet-hot events. Finally, we calculated the additive interactions of temperature and humidity on fall risk. Results:A total of 55 401 fall cases were included. With the increase in temperature and relative humidity decrease, the exposure-response curves of fall showed nonlinear upward trends among all populations. Gender and age differences were found in temperature-fall and relative humidity-fall risk relationships. Compared with wet-non-hot (normal temperature and high relative humidity) events, the ER of fall in dry-hot (high temperature and low relative humidity) events was 14.80% (95% CI: 9.69%- 20.15%), and the ER of wet-hot (high temperature and high relative humidity) events was 9.59% (95% CI: 2.52%-17.13%). However, there was no statistically significant difference between dry-hot and wet-hot events in the fall, and no statistically significant difference between different genders, ages, occupations, and fall occurred place (all P>0.05). No significant synergistic additive interaction was found between temperature and relative humidity on fall risk (relative excess risk due to interaction=-0.08, 95% CI: -0.19-0.02). Conclusions:Higher temperatures and lower relative humidity were associated with increased fall risk. Both dry-hot and wet-hot events had a higher risk of fall, while high temperature and low humidity have no synergistic effect on fall risk.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.