With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

OBJECTIVE To screen a single matrix， prepare dissolving microneedles of Pterocarya hupehensis total flavonoids（PHTF-MN）， and characterize it while evaluating its analgesic effects.METHODS Using microneedle morphology and puncture rate as evaluation indicators， the matrix was screened from polyvinyl alcohol （PVA）， polyvinylpyrrolidone K30 （PVP K30）， PVP K90， and sodium hyaluronate with relative molecular weights of 15 000 and 60 000 （HA 1.5w and HA 6w ）. PHTF-MN was prepared by the layer-by-layer casting method with the selected matrix， and the appearance and morphology， total flavonoid content， mechanical properties， puncture performance， dissolution properties， and drug release behavior of the obtained PHTF-MN were characterized. Using male BALB/c mice as test subjects and aspirin （ASA） as a positive control， the analgesic effects of the microneedles were evaluated using a formalin-induced pain model.RESULTS Blank microneedles prepared with 30% HA 1.5w exhibited optimal surface flatness and the membrane puncture rate （through 4 layers of parafilm membrane） reaching 78%. The PHTF-MNs （with PHTF contents of 10， 20， 30， 40， and 50 mg/g in the matrix） exhibited uniform arrays and intact tips， with RSDs for total flavonoid contents all below 7% （ n ＝8）. The single-needle puncture forces were 1.46 and 1.07 N （with PHTF contents of 30 and 50 mg/g in the matrix， respectively）. The skin penetration rate approached 100%， with visible puncture marks in the stratum corneum and drug residue （with a PHTF content of 50 mg/g in the matrix）. After 30 min of fixation， the needles had almost completely dissolved， and the skin retention rates all exceeded 90% （with PHTF contents of 10， 30， and 50 mg/g in the matrix， respectively）. The cumulative release within 8 h was （134.64±2.03） μg/cm 2 ， and the fit to the first-order kinetic equation （ R 2 ＝0.950 1） was highest （with a PHTF content of 50 mg/g in the matrix）. Low- and high-dose PHTF-MN （containing 85.26 and 145.03 μg of total flavonoids per patch， respectively； 1 patch/day） significantly shortened the cumulative time of phase Ⅱ pain response in mice （ P ＜0.05）， with pain inhibition rates （43.67% and 59.78%） comparable to those of ASA （53.70%）.CONCLUSIONS PHTF-MN using HA 1.5w as a single matrix was successfully prepared. This formulation features a simplified preparation process， uniform drug loading， favorable mechanical properties， resistance to fracture， and rapid dissolution. Its drug release behavior conforms to a first-order kinetic model， and its analgesic effect is comparable to that of ASA.

Objective To investigate the prevalence of Paragonimus infection in freshwater crabs from selected areas of Yunnan Province, and to perform molecular characterization and phylogenetic analysis of the isolated parasites based on the internal transcribed spacer 2 (ITS2) and cytochrome c oxidase subunit I (COI) gene sequences. Methods Freshwater crabs were collected from both local markets and natural streams in Zhaotong City, Pu’er City, Dehong Dai and Jingpo Autonomous Prefecture, Baoshan City, Honghe Hani and Yi Autonomous Prefecture and Lincang City of Yunnan Province from May to August 2025. Paragonimus metacercariae were isolated using a sieve and sedimentation method. After morphological identification of the metacercariae, the infection rate and infection intensity of Paragonimus in freshwater crabs were calculated. Then genomic DNA was extracted from an individual metacercaria, and ITS2 and COI gene fragments were amplified using a PCR assay and sequenced. The obtained sequences were aligned with those available in the GenBank database. Genetic distances were calculated with the software MEGA 11.0 based on the Kimura 2-parameter model, and phylogenetic trees were built using the neighbour-joining method. Results A total of 600 freshwater crabs were collected, with 18 positive for Paragonimus metacercariae. The prevalence of Paragonimus infection was 12.00% (18/150) in freshwater crabs from Zhaotong City, while no Paragonimus infection was detected in crabs from other five prefectures (cities). Twenty metacercariae were recovered, with an overall infection intensity of 1.11 metacercariae per crab. Morphological observation revealed two types of Paragonimus metacercariae, including 19 resembling P. skrjabini, and 1 resembling P. paishuihoensis. Ten metacercariae of distinct morphotypes were randomly selected for molecular identification, and sequence alignment and phylogenetic analysis of ITS2 and COI genes identified 9 as P. skrjabini and 1 as P. paishuihoensis. The nine ITS2 gene sequences shared 98.34% to 100.00% homology with the reference sequence of P. skrjabini (GenBank accession number: KX129924.1), and the single ITS2 gene sequence showed 100.00% homology with the reference sequence of P. paishuihoensis (GenBank accession number: OM401939.1), while its COI sequence showed 98.80% homology with the reference sequence of P. paishuihoensis (GenBank accession number: AB679288.1). Phylogenetic analysis further confirmed that the 10 sequences were clustered separately into the clades of P. skrjabini and P. paishuihoensis. Conclusions This study reports the first detection of P. paishuihoensis in freshwater crabs from Zhaotong City, Yunnan Province, and confirms P. skrjabini as the dominant Paragonimus species in this region. Molecular identification and phylogenetic analysis based on ITS2 and COI genes are effective to distinguish Paragonimus species, which provides the scientific evidence for precise control of paragonimiasis in Yunan Province.

One of the basic questions in the aging field is whether there is a fundamental difference between the aging of lower invertebrates and mammals. A major difference between the lower invertebrates and mammals is the abundancy of noncoding RNAs, most of which are not conserved. We have previously identified a noncoding RNA Terc-53 that is derived from the RNA component of telomerase Terc. To study its physiological functions, we generated two transgenic mouse models overexpressing the RNA in wild-type and early-aging Terc-/- backgrounds. Terc-53 mice showed age-related cognition decline and shortened life span, even though no developmental defects or physiological abnormality at an early age was observed, indicating its involvement in normal aging of mammals. Subsequent mechanistic study identified hyaluronan-mediated motility receptor (Hmmr) as the main effector of Terc-53. Terc-53 mediates the degradation of Hmmr, leading to an increase of inflammation in the affected tissues, accelerating organismal aging. adeno-associated virus delivered supplementation of Hmmr in the hippocampus reversed the cognition decline in Terc-53 transgenic mice. Neither Terc-53 nor Hmmr has homologs in C. elegans. Neither do arthropods express hyaluronan. These findings demonstrate the complexity of aging in mammals and open new paths for exploring noncoding RNA and Hmmr as means of treating age-related physical debilities and improving healthspan.
Animals ; Mice ; RNA, Untranslated/metabolism* ; Aging/genetics* ; Mice, Transgenic ; Telomerase/metabolism* ; RNA/genetics* ; Hippocampus/metabolism* ; Humans ; Mice, Inbred C57BL

OBJECTIVE: To evaluate the effect and safety of Chinese medicine (CM) Fuzheng Huazhuo Decoction (FHD) in treating patients with coronavirus disease 2019 (COVID-19) who persistently tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: This retrospective cohort study was conducted at Shanghai New International Expo Center shelter hospital in China between April 1 and May 30, 2022. Patients diagnosed as COVID-19 with persistently positive SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) test results for ⩾8 days after diagnosis were enrolled. Patients in the control group received conventional Western medicine (WM) treatment, while those in the FHD group received conventional WM plus FHD for at least 3 days. The primary outcome was viral clearance time. Secondary outcomes included negative conversion rate within 14 days, length of hospital stay, cycle threshold (Ct) values of the open reading frame 1ab (ORF1ab) and nucleocapsid protein (N) genes, and incidence of new-onset symptoms during hospitalization. Adverse events (AEs) that occurred during the study period were recorded. RESULTS: A total of 1,765 eligible patients were enrolled in this study (546 in the FHD group and 1,219 in the control group). Compared with the control group, patients receiving FHD treatment showed shorter viral clearance time for nucleic acids [hazard ratio (HR): 1.500, 95% confidence interval (CI): 1.353-1.664, P<0.001] and hospital stays (HR: 1.371, 95% CI: 1.238-1.519, P<0.001), and a higher negative conversion rate within 14 days (96.2% vs. 82.6%, P<0.001). The incidence of new-onset symptoms was 59.5% in the FHD group, similar to 57.8% in the control group (P>0.05). The Ct values of ORF1ab and N genes increased more rapidly over time in the FHD group than those in the control group post-randomization (ORF1ab gene: β =0.436±0.053, P<0.001; N gene: β =0.415 ±0.053, P<0.001). The incidence of AEs in the FHD group was lower than that in the control group (24.2% vs. 35.4%, P<0.001). No serious AEs were observed. CONCLUSION FHD was effective and safe for patients with persistently positive SARS-CoV-2 PCR tests. (Registration No. ChiCTR2200063956).
Humans ; Drugs, Chinese Herbal/adverse effects* ; Retrospective Studies ; Male ; Female ; Middle Aged ; COVID-19 Drug Treatment ; SARS-CoV-2/drug effects* ; COVID-19/virology* ; Adult ; Aged ; Treatment Outcome

Objective:To explore the changes in plasma lipoprotein associated phospholipase A2(Lp-PLA2)and silencing information regulatory protein 1(SIRT1)in patients with sepsis complicated with acute kidney injury(AKI)and their relationship with short-term prognosis.Methods:243 sepsis patients who received treatment in our hospital from May 2022 to May 2024 were prospective selected,including 80 sepsis patients with AKI(AKI group)and 163 sepsis patients without AKI(non AKI group),the plasma Lp-PLA2 and SIRT1 levels between the two groups were compared.They were divided into good prognosis group and poor prognosis group according to 28 d prognosis after admission in AKI group.The influencing factors of short-term prognosis in sepsis patients complicated with AKI were analyzed by multiple logistic regression model.The short-term prognostic value of plasma Lp-PLA2 and SIRT1 alone and in combination for sepsis complicated with AKI patients was analyzed using receiver operating characteristic(ROC)curve.Results:Compared with non AKI group,AKI group had higher Lp-PLA2 and lower SIRT1(P＜0.05).39 deaths within 28 d after admission in AKI group(poor prognosis group),41 cases survived(good prognosis group),with poor prognosis rate of 48.75％(39/80).Sequential organ failure assessment(SOFA)score,acutephysiology and chronic health evaluationⅡ(APACHEⅡ)score,creatinine(Scr),lactate dehydrogenase albumin ratio(LAR)in poor prognosis group were higher than those in good prognosis group,while procalcitonin(PCT)was lower than that in good prognosis group(P＜0.05).Compared with the good prognosis group,poor prognosis group had higher Lp-PLA2 and lower SIRT1 at admission(P＜0.05).Elevated SOFA score,elevated Scr,elevated APACHEⅡ score,and elevated plasma Lp-PLA2 were risk factors for poor prognosis in sepsis patients complicated with AKI(P＜0.05),while elevated plasma SIRT1 was a protective factor(P＜0.05).ROC curve analysis results showed that,the combined detection of plasma Lp-PLA2 and SIRT1 predicted a poor prognosis for sepsis patients with AKI with an area under the curve(AUC)of 0.935,which was better than the prediction of 0.813 and 0.858 for plasma Lp-PLA2 and SIRT1 alone.Conclusion:Sepsis complicated with AKI patients have elevated plasma Lp-PLA2 and decreased SIRT1,combined detection of the two can assist in predicting the risk of poor prognosis.

There is significant inter-individual variation of pharmacokinetics and pharmacody-namics in patients receiving tacrolimus(TAC)for an-ti-rejection therapy,which cause the rejection or toxic action.Based on results of therapeutic drug monitoring and pathophysiological index of trans-plant patients,the individualized dosing regimen can be designed and adjusted by using model in-formed precision dosing(MIPD).The patients'clini-cal outcome can be improved.In the consensus,the different methods of MIPD used for patients re-ceived TAC for anti-rejection therapy were intro-duced,which can be used for the designing and ad-justing doing regimen,predicting adverse drug reac-tion,improving medication adherence and econom-ics during therapy.

Objective To explore the efficacy of single and combined parameters from 4 non-Gaussian diffusion models for differentiating breast imaging reporting and data system(BI-RADS)MRI category 4 benign and malignant breast tumors.Methods A total of 161 BI-RADS MRI category 4 breast lesions from 159 patients were retrospectively enrolled.Based on pathological results,the lesions were divided into malignant group(n=132)and benign group(n=29).The apparent diffusion coefficient(ADC)values were calculated from diffusion weighted imaging(DWI)sequences.Multi-b-value diffusion imaging data were acquired and fitted using 4 non-Gaussian models to obtain respective parameters,including diffusion kurtosis imaging(DKI),stretched exponential model(SEM),continuous-time random walk(CTRW)and fractional order calculus(FROC)model.Univariable and multivariable logistic regression analyses were employed to identify the diffusion quantitative indicators useful for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.Receiver operating characteristic(ROC)curves were drawn,and the optimal threshold was determined using Youden index.The differentiating performance of ADC value,single parameter and their combination from non-Gaussian diffusion models were assessed and compared according to the area under the curve(AUC)of ROC curves,as well as the sensitivity,specificity and accuracy under the optimal thresholds.Results In malignant group,αCTRW,KDKI and μFROC values were higher,while ADC,DCTRW,DFROC,DDCSEM,αSEM and DDKI values were lower than those in benign group(all P＜0.05).Multivariable logistic regression analysis identified DCTRW and αCTRW values as independent factors for differentiating benign and malignant BI-RADS MRI category 4 breast tumors(both P＜0.05),and a combined model was then constructed.The AUC of the combined model was higher than that of each single parameter including ADC,DCTRW and αCTRW values(all P＜0.05).Conclusion The combined model of DCTRW and αCTRW had better efficacy than each single parameter for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.