ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

OBJECTIVE: To study the results, re-donation situation and characteristics of single-reagent reactive blood donors who were put into the reentry strategy in Wuhan area, explore the rationality and effectiveness of the current reentry strategy, and provide data support for the improvement of the reentry process of blood donors. METHODS: From January 2020 to December 2023, blood donors who conform the reentry criteria and voluntarily applied for returning to Wuhan Blood Center were tested and the results were analyzed. According to the reentry strategy, serological testing and nucleic acid testing were carried out in parallel, serological testing was performed by ELISA with reagents from two different manufacturers, and the primary reactive samples were tested by double-well retest, and HBV/HCV/HIV nucleic acid detection was performed by RT-PCR with an individual donor test mode. Supplementary HBcAb testing was applied for HBV single reagent reactivity by chemiluminescence method. Supplementary TP-WB testing was applied for returning blood donors with repeated TP single reagent reactivity. If returning blood donors with HIV single reagent reactivity were repeated single reagent reactivity, the samples were sent to local CDC for confirmatory test. RESULTS: 7 098 blood donors were qualified for reentry, 716 donors voluntarily applied for reentry, 436 donors successfully reentry, 251 donors entered the next round, 29 donors could not reentry. The reentry rates for the past four years were 66.67%（42/63）, 54.73%（81/148）, 60.71%（136/224） and 62.99%（177/281）, respectively. Up to December 31, 2023, 275 donors donated blood again, and the donation rates for past four years were 76.19%（32/42）, 72.84%（59/81）, 61.76%（84/136） and 56.50%（100/177）, respectively. After donating blood, 31 donors were disqualified again by blood screening and subjected to permanent deferral. The results of returning to the team had statistical differences in reentry items, educational level, age, and marriage（P < 0.05）. CONCLUSION The current reentry strategy adopted by the blood donation and supply institution can effectively retain part of blood donors, reduce the negative emotions of blood donors and increase blood resources.
Humans ; Blood Donors ; China ; Hepatitis B ; Enzyme-Linked Immunosorbent Assay ; Hepatitis C ; Male

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Alzheimer's disease (AD) is the major form of dementia in the elderly and is closely related to the toxic effects of microglia sustained activation. In AD, sustained microglial activation triggers impaired synaptic pruning, neuroinflammation, neurotoxicity, and cognitive deficits. Accumulating evidence has demonstrated that aberrant expression of deubiquitinating enzymes is associated with regulating microglia function. Here, we use RNA sequencing to identify a deubiquitinase YOD1 as a regulator of microglial function and AD pathology. Further study showed that YOD1 knockout significantly improved the migration, phagocytosis, and inflammatory response of microglia, thereby improving the cognitive impairment of AD model mice. Through LC-MS/MS analysis combined with Co-IP, we found that Myosin heavy chain 9 (MYH9), a key regulator maintaining microglia homeostasis, is an interacting protein of YOD1. Mechanistically, YOD1 binds to MYH9 and maintains its stability by removing the K48 ubiquitin chain from MYH9, thereby mediating the microglia polarization signaling pathway to mediate microglia homeostasis. Taken together, our study reveals a specific role of microglial YOD1 in mediating microglia homeostasis and AD pathology, which provides a potential strategy for targeting microglia to treat AD.

Objective:To explore the effects of pre-transplant controlling nutritional status(CONUT)and post-transplant minimal residual disease(MRD)on prognosis of patients with multiple myeloma(MM)after autologous hematopoietic stem cell transplantation(auto-HSCT).Methods:The clinical data of 79 patients who received auto-HSCT from 2011 to 2020 in The First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed.The patients were divided into Low-CONUT group(n=62)and High-CONUT group(n=17)according to whether the CONUT score was less than 5.The differences in clinical features,hematopoietic reconstruction,adverse reactions,efficacy and survival between the two groups were compared.In addition,the prognostic risk factors were analyzed and verified by time-dependent ROC curve.Results:The proportions of male patients and bone marrow plasma cells＞30％at initial diagnosis in High-CONUT group were both higher than those in Low-CONUT group(both P＜0.05).While,there were no significant differences in hematopoietic reconstruction and adverse reactions(＞grade 2)between the two groups.The complete response(CR)rate and CR+very good partial response(VGPR)rate before transplantation in Low-CONUT group were both significantly higher than those in High-CONUT group(both P＜0.05).After 3 months of transplantation,the CR+VGPR rate still remained an advantage in Low-CONUT group compared with High-CONUT group(P＜0.01),but CR rate did not(P＞0.05).The overall survival(OS)and progression-free survival(PFS)in Low-CONUT group were both superior to those in High-CONUT group(both P＜0.05).Low CONUT score(0-4)before transplantation and negative MRD at 6 months after transplantation were favorable factors affecting OS and PFS(both P＜0.05),while the International Myeloma Working Group(IMWG)high-risk at initial diagnosis and lactate dehydrogenase(LDH)level＞250 U/L before transplantation were only risk factors for PFS(both P＜0.05).Time-dependent ROC curve analysis showed that pre-transplant CONUT score and MRD status at 6 months after transplantation could independently or jointly predict 1-and 2-year OS and PFS,and the combined prediction was more effective.Conclusion:The combination of pre-transplant CONUT and post-transplant MRD can better predict the prognosis of MM patients.

Objective:To observe the effect of auricular pressure beans(APN)combined with Compound Tung-Leaf Burn Oil(CTBO)on perioperative anxiety and pain in patients undergoing circumcision.Methods:This study included 100 patients undergo-ing circumcision with the disposable circumcision anastomosis stapler in our hospital from August 2023 to November 2023,of whom 50 received routine circumcision nursing care(the control group)and other 50 APN combined with compound CTBO in addition(the ob-servation group).We compared between the two groups the anxiety scores before any intervention,30 minutes before and 24 hours and 10 days after operation,the pain scores 24 hours postoperatively and at the first change of wound dressing,the frequency of 3-day post-operative sleep awakenings,the incidence of complications,and the satisfaction of the patients.Results:Totally,94 patients com-pleted the study,46 in the observation and 48 in the control group.The anxiety scores exhibited no statistically significant difference between the two groups of patients before any intervention(P>0.05),but were markedly lower in the observation than in the control group at 30 minutes before and 24 hours and 10 days after surgery(P<0.05),and so were the pain scores24 hours after surgery and at the first change of wound dressing(P<0.05),and the frequency of 3-day postoperative sleep awakenings(P<0.05).The satis-faction rate of the patients was remarkably higher(P<0.05)while the incidence of complications significantly lower in the observation group than in the control(P<0.05).Conclusion:Auricular pressure beans combined with Compound Tung-Leaf Burn Oil can ef-fectively alleviate perioperative anxiety,reduce postoperative pain and improve satisfaction of the patients undergoing circumcision.

AIM To explore the ameliorative effects of Ziyin Mingmu Pills on mouse retinitis pigmentosa(RP)and the possible mechanism.METHODS The RP transgenic mice(rd10)were randomly divided into the model group,the Leding group(0.15 g/kg)and the low and high dose Ziyin Mingmu Pills groups(4.50,9.00 g/kg),in contrast to the C57BL/6 mice of the normal group,with 12 mice in each group.The mice had their retinal pathological changes detected by HE staining;their visual function detected by electroretinogram(ERG);their fundus conditions and retinal thickness detected by optical coherence tomography(OCT);their retinal blood perfusion detected by laser speckle blood flow technique;their mRNA expressions of Shh,Ptc,Smo,Gli1,N-myc and Cyclin mRNA detected by digital PCR;and their protein expressions of Shh,Ptc,Smo,Gli1,N-myc and Cyclin detected by immunofluorescence staining.RESULTS Compared with the normal group,the model group displayed pathological changes in the fundus and retina and decreased amplitudes of ERG a wave and b wave(P＜0.01);decreased retinal thickness(P＜0.01);decreased retinal blood perfusion(P＜0.01);and decreased retinal expressions of Shh,Ptc,Smo,Gli1,N-myc,Cyclin mRNA and protein(P＜0.01).Compared with the model group,the groups intervened with Ziyin Mingmu Pills or Leding shared improved pathological changes in the fundus and retina tissue,and increased retinal thickness(P＜0.01);increased retinal blood flow(P＜0.01);increased amplitudes of ERG a wave and b wave(P＜0.01);and increased retinal Shh,Ptc,Smo,Gli1,N-myc and Cyclin mRNA and protein expressions(P＜0.01).CONCLUSION Ziyin Mingmu Pills can improve the fundus pathological changes and visual function to delay RP in mice because of their efficacy in ameliorating retinal thickness and blood flow possibly by activating Shh signaling pathway.

Public health and social measures (PHSMs) are one of the most important measures in the prevention and control of COVID-19 and have also been effective in suppressing the spread of influenza viruses, but their effectiveness has not been fully investigated. This study aimed to review the progress of research on the impact of PHSMs on influenza during the COVID-19 pandemic based on the latest evidence of the effectiveness of various PHSMs in controlling transmission of influenza viruses, to provide scientific evidence for optimizing influenza prevention and control strategies.

Objective To describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification re-search.Methods The data retrieved and extracted from the Web of Science Core Collection (WoSCC),the core database of the Web of Science information service platform (hereinafter referred to as "WoS"),was used to analyze the trends and topic changes in research on forensic identification of human re-mains from 1991 to 2022.Network visualisation of publication trends,countries (regions),institutions,authors and topics related to the identification of remains in forensic anthropology was analysed using python 3.9.2 and Gephi 0.10.Results A total of 873 papers written in English in the field of forensic anthropological remains identification research were obtained.The journal with the largest number of publications was Forensic Science International (164 articles).The country (region) with the largest number of published papers was China (90 articles).Katholieke Univ Leuven (Netherlands,21 articles) was the institution with the largest number of publications.Topic analysis revealed that the focus of forensic anthropological remains identification research was sex estimation and age estimation,and the most commonly studied remains were teeth.Conclusion The volume of publications in the field of forensic anthropological remains identification research has a distinct phasing.However,the scope of both international and domestic collaborations remains limited.Traditionally,human remains identifica-tion has primarily relied on key areas such as the pelvis,skull,and teeth.Looking ahead,future re-search will likely focus on the more accurate and efficient identification of multiple skeletal remains through the use of machine learning and deep learning techniques.