Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Purpose To characterize the clinicopathological features of gastrointestinal mesenchymal tumors(GMTs)resected via endoscopic techniques.Methods A retrospective analysis was conducted on 495 cases of endo-scopically resected GMTs.Clinical information,histomorphological findings,immunohistochemical profiles,and mo-lecular characteristics were reviewed.Results The cohort included 495 patients aged 20-78 years(median:53 years).The majority of tumors were located in the stomach(58.8％)and esophagus(36.8％).Histologically,most tumors consisted of spindle cells,with a minority composed of epithelioid cells;fibrocollagenous or myxoid stroma was occasionally observed.Immunohistochemically,leiomyomas showed diffuse positivity for α-SMA(98.8％)and desmin(99.3％),gastrointestinal stromal tumors(GISTs)expressed CD117(99.4％),DOG1(97.6％),and CD34(97.0％),and schwannomas were positive for S-100(93.7％).The predominant tumor types were leiomyomas(54.1％)and GISTs(33.7％),while the remaining 12.2％comprised other rare types.Various endoscopic resection techniques were employed based on the tumors' anatomical depth,including endoscopic submucosal dissection(ESD,40.5％),submucosal tunneling endoscopic resection(STER,17.1％),endoscopic mucosal resection(EMR,16.5％),endoscopic full-thickness resection(EFTR,13.9％),and endoscopic submucosal excavation(ESE,12.0％).EMR and ESD were primarily used for superficial lesions,while deeper tumors with were more often treated with STER,EFTR,and ESE.The rate of negative resection margins was lower in GISTs(72.2％)and other tumors with indistinct margins,compared to leiomyomas(92.6％)and those with well-defined boundaries.Conclusion Leiomyomas and GISTs are the most common gastrointestinal mesenchymal tumors resected via endoscopy.A variety of resection techniques are applicable depending on tumor location and depth.Accurate pathological diagnosis should be based on HE morphology,supplemented by endoscopic findings,margin status,immunohistochemistry,and necessary molecular tests.

BACKGROUND:Induced resorption of herniated nucleus pulpous is a minimally invasive,non-invasive and innovative method for the treatment of cervical/lumbar intervertebral disc herniation.After induced resorption of herniated nucleus pulpous,the research about whether cervical/lumbar intervertebral disc can maintain the original biomechanical strength has not been reported.OBJECTIVE:To measure the height of adjacent vertebral centroid of cervical/lumbar intervertebral disc before and after induced resorption of herniated nucleus pulpous operation to analyze the changes of the biomechanical strength of the intervertebral disc after reclining and to provide a new basis for induced resorption of herniated nucleus pulpous treatment of cervical and lumbar intervertebral disc herniation.METHODS:A retrospective analysis was performed on 140 patients with cervical/lumbar intervertebral disc herniation who received induced resorption of herniated nucleus pulpous surgery in the First Affiliated Hospital of Zhengzhou University from January 2013 to January 2023.Related software was used to measure the height of adjacent vertebral centroid of cervical/lumbar intervertebral disc of patients at each follow-up time point before and after induced resorption of herniated nucleus pulpous surgery in Magnetic Resonance Imaging image data under Artificial Intelligence-assisted calibration.Unoperated T1/T2 and T12/L1 segments were taken respectively as controls.Those with preoperative height of adjacent vertebral centroid less than 8％of the corresponding T1/T2 or T12/L1 control segment were in the"height reduction group"(hereafter referred to as group A)and the rest were in the"height unchanged group"(hereafter referred to as group B).The difference of height of adjacent vertebral centroid before and after operation between the group A and the group B was statistically analyzed.Simultaneously,the correlation between the volume of cervical and lumbar herniated discs and the changes of height of adjacent vertebral centroid was analyzed according to the result measured by artificial intelligence.RESULTS AND CONCLUSION:(1)The study maintained a total of 140 patients,including 60 cases of cervical disc herniation and 80 cases of lumbar disc herniation.The postoperative follow-up period was 7 days to 12 months.(2)A total of 281 discs were measured in the cervical vertebra group,including 60 intervertebral discs in the control group.The mean value of height of adjacent vertebral centroid before and at the last postoperative follow-up was about 20.46 mm and 20.17 mm,respectively,with no statistical difference(P＞0.05).There were 162 cervical discs in group A.The average height of adjacent vertebral centroid before and after operation was 16.65 mm and 15.92 mm,respectively,with no statistically significant difference(P＞0.05).The mean cervical disc herniation volume before and after surgery was 510.28 mm3 and 364.76 mm3,respectively,which was not significantly correlated with height of adjacent vertebral centroid change(P＞0.05).There were 64 discs in the group B,with average of 20.15 mm before operation and 19.09 mm at the last follow-up,and there was no significant difference(P＞0.05).The mean volume of cervical disc herniation before and after surgery was 515.32 mm3 and 361.98 mm3,respectively,and there was no significant correlation with the change of height of adjacent vertebral centroid(P＞0.05).(3)A total of 258 discs were measured in the lumbar spine group,of which 80 intervertebral discs in the control group,the average height of adjacent vertebral centroid was 33.03 mm before operation and 32.40 mm at the last follow-up,and there was no significant difference.There were 59 discs in the group A,and the average height of adjacent vertebral centroid before and after operation was 30.08 mm and 31.67 mm,respectively,with no statistically significant difference.The mean volume of lumbar disc herniation before and after operation was 690.51 mm3 and 496.58 mm3,respectively,and there was no significant correlation with the change of height of adjacent vertebral centroid(P＞0.05).There were 119 discs in the group B,with an average height of adjacent vertebral centroid of 35.91 mm before surgery and 34.12 mm at the last follow-up.The mean volume of lumbar disc herniation before and after operation was 698.70 mm3 and 535.99 mm3,respectively,and there was no significant correlation with the change of height of adjacent vertebral centroid.(4)It is concluded that patients with cervical/lumbar intervertebral disc herniation can maintain the same intervertebral height level after induced resorption of herniated nucleus pulpous regardless of whether the intervertebral height has decreased before operation.It can be inferred that the resorption of the herniated disc does not affect its biomechanical strength.It suggests that induced resorption of herniated nucleus pulpous surgery should be performed before the intervertebral height of the degenerate segment has decreased.The induced resorption of herniated nucleus pulpous is more valuable to maintain the biomechanical strength of the resorptive disc.

Drug development encompasses multiple processes, wherein protein subcellular localization is essential. It promotes target identification, treatment development, and the design of drug delivery systems. In this research, a deep learning framework called LocPro is presented for predicting protein subcellular localization. Specifically, LocPro is unique in (a) combining protein representations from the pre-trained large language model (LLM) ESM2 and the expert-driven tool PROFEAT, (b) implementing a hybrid deep neural network architecture that integrates convolutional neural network (CNN), fully connected (FC) layer, and bidirectional long short-term memory (BiLSTM) blocks, and (c) developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels. Additionally, a dataset was curated and divided using a homology-based strategy for training and validation. Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction. The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization. All in all, LocPro serves as a valuable complement to existing protein localization prediction tools. The web server is freely accessible at https://idrblab.org/LocPro/.

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

Laccase is a type of polyphenol oxidase that can catalyze the oxidation of various substances,including phenols,aromatic amines,and catecholamines.It has been widely utilized in pollutant degradation and analytical applications.However,the high cost of preparation of natural laccase and its susceptibility to environmental factors,which can lead to denaturation and inactivation,limit its practical applications.Nanozymes,which are nanomaterials that exhibit enzyme-like properties,offer advantages such as easy preparation,adjustable activity,and exceptional stability.Currently,many types of nanozymes have been developed.Inspired by the coordination of Cu2+with amino acids in the active site of natural laccase,researchers have employed coordination synthetic strategies to prepare laccase-like nanozymes.The metal nodes in these laccase-like nanozymes include copper,manganese,and cerium,while the ligands involve a variety of chemicals like nucleotides,amino acids,polypeptides,and aromatic acids.By manipulating factors such as the metal-to-ligand ratio,reducing capacity of ligands,buffer solutions,chloride ions,bromine ions,the catalytic activity of laccase-like nanozymes can be finely tuned.In this paper,laccase-like nanozymes developed through coordination strategies were categorized and summarized,along with review of their analytical applications in detection of phenolic compounds,disease biomarkers,antibiotics,pesticides,sulfur-containing pollutants,and time-temperature indicators.Furthermore,the challenges currently faced in the research of laccase-like nanozymes and future research directions were discussed.

Drug development encompasses multiple processes,wherein protein subcellular localization is essential.It promotes target identification,treatment development,and the design of drug delivery systems.In this research,a deep learning framework called LocPro is presented for predicting protein subcellular localization.Specifically,LocPro is unique in(a)combining protein representations from the pre-trained large language model(LLM)ESM2 and the expert-driven tool PROFEAT,(b)implementing a hybrid deep neural network architecture that integrates convolutional neural network(CNN),fully connected(FC)layer,and bidirectional long short-term memory(BiLSTM)blocks,and(c)developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels.Additionally,a dataset was curated and divided using a homology-based strategy for training and validation.Compar-ative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction.The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization.All in all,LocPro serves as a valuable complement to existing protein localization prediction tools.The web server is freely accessible at https://idrblab.org/LocPro/.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.