Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

Acetaminophen (APAP) is the primary cause of drug-induced acute liver failure. Ovarian tumor deubiquitinase 6A (OTUD6A), a recently discovered deubiquitinase of the OTU family, has been primarily studied in tumor contexts. However, its role in APAP-induced liver injury (AILI) remains unclear. Therefore, this study aimed to investigate the involvement of OTUD6A in the pathogenesis of AILI. Our findings demonstrated a substantial upregulation of OTUD6A in both the liver tissue and isolated hepatocytes of mice following APAP stimulation. OTUD6A knockout exacerbated APAP-induced inflammation, hepatocyte necrosis, and liver injury, whereas OTUD6A overexpression alleviated these pathologies. Mechanistically, OTUD6A directly interacted with the enhancer of zeste homolog 2 (EZH2) and selectively removed K48-linked polyubiquitin chains from EZH2, enhancing its stability. This resulted in increased protein levels of EZH2 and H3K27me3, as well as reduced endoplasmic reticulum (ER) stress and cell death in hepatocytes. Collectively, our research uncovers a novel role for OTUD6A in mitigating APAP-induced liver injury by promoting EZH2 stabilization.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Objective In this preliminary survey,we sought to determine the composition of mosquito species inhabiting the Emeifeng Nature Reserve,Fujian Province,China.Methods Mosquito larvae were collected by straw and spoon trapping,and adult mosquitoes were collected by lamp trapping at selected breeding sites in the reserve.The specimens were initially identified based on morphology,with subsequent verification using molecular biology methods.Results A total of 34 mosquito species in 13 genera were collected,among which,there were 4 species of Anopheles(Genus Anopheles Meigen,1818),2 species of Lutzia(Genus Lutzia Theobald,1903),15 species of Culex(Genus Culex Linnaeus,1758),4 species of Stegomyia(Genus Stegomyia Theobald,1901),and single species of Hulecoeteomyia(Genus Hulecoeteomyia Theobald,1904),Luius(Genus Luius Reinert,Harbach et Kitching,2008),Aedes(Genus Aedes Meigen,1818),Downsiomyia(Genus Downsiomyia Vargas,1950),Collessius(Genus Collessius Reinert,Harbach et kitching,2006),Uranotaenia(Genus Uranotaenia Lynch 1891),Armigeres(Genus Armigeres Theobald,1901),Toxorhynchites(Genus Toxorhynchites Theobald,1901),and pestle mosquito(Genus Tripteroides Giles,1904).Conclusions The species composition of mosquitoes sampled in the Emeifeng Nature Reserve will provide a basis for further research on mosquito vectors and contribute to measures for local mosquito control.

Purpose To investigate the value of non-invasive preoperative prediction of programmed death ligand 1 expression status in extrahepatic cholangiocarcinoma using MRI radiomics combined with clinical features through nomograms.Materials and Methods A retrospective collection was made of 87 cases of extrahepatic cholangiocarcinoma diagnosed through surgical pathology in the Affiliated Hospital of Southwest Medical University from January 2011 to December 2021.These were randomly divided into training and testing sets at a 7∶3 ratio.Using 3D-Slicer software,regions of interest were manually delineated layer-by-layer on MRI images,and radiomic features were extracted.Data normalization,feature dimensionality reduction and selection were then performed.A Gaussian naive Bayes classifier was used to construct the radiomics model,and radiomics scores were obtained.Multivariate Logistic regression was used to screen clinical features,and individual clinical and combined models were constructed.The predictive performances of the three models were evaluated using the area under the receiver operating characteristic curve(AUC),and the goodness of fit and clinical net benefit of the combined model nomogram were assessed through calibration and decision curves.Results Nine radiomic features and three clinical features were finally selected.The clinical features included alanine transaminase(P=0.020),aspartate transaminase(P=0.025)and total bilirubin(P=0.026).The predictive performance of the combined model(training set AUC 0.813,testing set AUC 0.818)was superior to that of the individual clinical model(training set AUC 0.711,testing set AUC 0.705)and the radiomics model(training set AUC 0.769,testing set AUC 0.767).Calibration and decision curves indicated good fit and better clinical net benefit for the combined model nomogram.Conclusion Based on preoperative multi-sequence MRI images and the radiomics score,along with alanine transaminase,aspartate transaminase and total bilirubin as clinical features,the constructed combined model nomogram effectively predicts the programmed death ligand 1 expression status in extrahepatic cholangiocarcinoma.This provides guidance for the precise and personalized immunotherapy for patients.

Purpose To investigate the value of non-invasive preoperative prediction of programmed death ligand 1 expression status in extrahepatic cholangiocarcinoma using MRI radiomics combined with clinical features through nomograms.Materials and Methods A retrospective collection was made of 87 cases of extrahepatic cholangiocarcinoma diagnosed through surgical pathology in the Affiliated Hospital of Southwest Medical University from January 2011 to December 2021.These were randomly divided into training and testing sets at a 7∶3 ratio.Using 3D-Slicer software,regions of interest were manually delineated layer-by-layer on MRI images,and radiomic features were extracted.Data normalization,feature dimensionality reduction and selection were then performed.A Gaussian naive Bayes classifier was used to construct the radiomics model,and radiomics scores were obtained.Multivariate Logistic regression was used to screen clinical features,and individual clinical and combined models were constructed.The predictive performances of the three models were evaluated using the area under the receiver operating characteristic curve(AUC),and the goodness of fit and clinical net benefit of the combined model nomogram were assessed through calibration and decision curves.Results Nine radiomic features and three clinical features were finally selected.The clinical features included alanine transaminase(P=0.020),aspartate transaminase(P=0.025)and total bilirubin(P=0.026).The predictive performance of the combined model(training set AUC 0.813,testing set AUC 0.818)was superior to that of the individual clinical model(training set AUC 0.711,testing set AUC 0.705)and the radiomics model(training set AUC 0.769,testing set AUC 0.767).Calibration and decision curves indicated good fit and better clinical net benefit for the combined model nomogram.Conclusion Based on preoperative multi-sequence MRI images and the radiomics score,along with alanine transaminase,aspartate transaminase and total bilirubin as clinical features,the constructed combined model nomogram effectively predicts the programmed death ligand 1 expression status in extrahepatic cholangiocarcinoma.This provides guidance for the precise and personalized immunotherapy for patients.

Objective: To establish a method for simultaneous determination of calceolarioside B and chlorogenic acid in Caulis Stauntoniae Chinensis tablets by HPLC.
Methods: The analysis was performed on a Thermo BDS HYPERSIL C₁₈ column (4.6 mm×250 mm,5 μm) maintained at 35 ℃. The mobile phase was consisted of methanol and 0.1% phosphoric acid solution, and gradient eluted with a flow rate of 1.0 mL·min^-1. The detection wavelength was 327 nm, and the injection volume was 10 μL.
Results: The linear ranges of calceolarioside B and chlorogenic acid were 0.51-20.60 μg·mL^-1 (r=1.000) and 0.52-20.63 μg·mL^-1 (r=1.000), respectively. The average recoveries were 100.3% with RSD as 1.1% and 105.9% with RSD as 1.4%, respectively. The content results of 5 batches of Caulis Stauntoniae Chinensis tablets were 0.083-1.115 mg·g^-1 for calceolarioside B and 0.161-1.204 mg·g^-1 for chlorogenic acid.
Conclusion: The method can be used for improving the quality evaluation standard of Caulis Stauntoniae Chinensis tablets.

Objective:To preliminarily explore the association of pregnancy factors with cow's milk protein allergy in infants.Methods:This study was based on data from a subcohort of a study called ge-netic susceptibility to cow's milk allergy in Chinese children,including infants born in Peking University People's Hospital between March 1,2020,and December 31,2020.The infants were divided into a cow's milk protein allergy(CMPA)group and a control group according to whether they had developed cow's milk protein allergy at the age of 1 year.We retrospectively collected the clinical data of infants and their mothers before and during pregnancy,and analyzed the association of multiple factors during pregnancy with cow's milk protein allergy in infants.Results:A total of 278 infants were enrolled in this study,including 52 infants with CMPA and 226 infants without CMPA.Among them,there were 143 boys and 135 girls.The proportion of male infants in the CMPA group(69.2％)was higher than that in the control group(47.3％),and the difference was statistically significant(P=0.004).There were no significant differences in the distribution of birth weight,gestational age at birth,low-birth-weight in-fants,premature,umbilical cord entangle neck,and neonatal asphyxia between the CMPA group and the control group(P＞0.05).The proportion of mothers complicated with autoimmune diseases,anemia or antibiotics exposure during pregnancy in the CMPA group was higher than that in the control group,and there were statistical differences between the two groups(P＜0.05).There was no significant difference in the distribution of other pregnancy complications between the two groups(P＞0.05),such as eclamp-sia/preeclampsia,chronic hypertension/gestational hypertension,diabetes/gestational diabetes,thyroid diseases,and so on.There was no significant difference in the overall distribution of some blood routine indexes during pregnancy between the CMPA group and the control group(P＞0.05).Multivariate Lo-gistic regression analysis showed that male infant,mothers complicated with autoimmune diseases or ane-mia,antibiotic exposure during pregnancy were independent risk factors for cow's milk protein allergy.Conclusion:Male infant,mothers complicated with autoimmune diseases or anemia,antibiotic exposure during pregnancy were independent risk factors for cow's milk protein allergy.

Objective To investigate the effect of Elvitegravir,Cobicistat,Emtricitabine and Tenofovir Alafenamide single tablet alone versus tenofovir(TDF)+lamivudine(3TC)+efavirenz(EFV)scheme in the treatment of patients with acquired immunodeficiency syndrome(AIDS).Methods A total of 100 patients with AIDS who visited the hospital from January 2022 to October 2022 were selected and divided into two groups by random number table method,50 cases in each group.Group A was treated with Elvitegravir,Cobi-cistat,Emtricitabine and Tenofovir Alafenamide single tablet monotherapy and Group B was treated with TDF+3TC+EFV scheme.The human immunodeficiency virus(HIV)load,body immunity(CD4+,CD8+,CD4+CD38+cell ratio,CD8+CD38+cell ratio),lipid metabolism indexes[total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C)],glucose metabolism indexes[fasting blood glucose(FPG),glycated hemoglobin(HbA1c)],glycoprotein 130(gp130),interleukin-35(IL-35)and its receptor IL-12Rβ2 levels were observed before and after treatment in the two groups,and the drug safety in the two groups was counted.Results After 3 months of treatment,HIV load,CD8+count,CD4+CD38+cell ratio,and CD8+CD38+cell ratio in both groups were lower than those before treatment,and CD4+count was higher than that before treatment(P＜0.05),but the difference was not statistically significant when compared between A and B groups(P＞0.05).After 3 months of treat-ment,the levels of IL-12Rβ2,gp130,IL-35,TC,TG,and LDL-C in both groups were higher than those before treatment,and HDL-C level was lower than that before treatment,and the change in group B was greater than that in group A(P＜0.05).FPG and HbAlc levels were higher in group B after 1 month and 3 months of treatment,and were higher than those in group A(P＜0.05).Drug safety analysis showed that the incidence rates of adverse reactions were 12.00％(6/50)in group A and 26.00％(13/50)in group B,and there was no statistically significant difference between the two groups(P＞0.05).The incidence rates of liver and kidney injury in group A was 10.00％(5/50),and that in group B was 12.00％(6/50),and there was no statistically significant difference between two groups(P＞0.05).Conclusion Elvitegravir,Cobicistat,Emtricitabine and Tenofovir Alafenamide single tablet monotherapy and the TDF+3TC+EFV scheme could significantly re-duce the HIV load of AIDS patients and improve their immune level,but the former has less effect on pa-tients'glycolipid metabolism and inflammatory factors,and the monotherapy scheme is superior based on the comprehensive consideration of safety and efficacy.

Objective To evaluate the patient-reported outcome(PRO)of patients with breast cancer who underwent autologous breast reconstruction and implant breast reconstruction.Methods Patients who underwent breast reconstruction in Shanghai Cancer Center,Fudan University from Jan 2020 to Jun 2021 were selected,including 111 patients who underwent autologous breast reconstruction and 108 patients who underwent implant breast reconstruction.Chinese version Breast-Q2.0 scale,breast cancer specificity scale QLQ-BR23 and EORTC quality of life scale QLQ-C30 were used to investigate the PRO of the two groups 18 months after operation.Results The rate of stage Ⅲ breast cancer in the self-weight construction group was higher than that in the implant reconstruction group(64.9%vs.44.4%,P<0.001).The preoperative neoadjuvant therapy and postoperative radiotherapy in the autologous reconstruction group were higher than those in the implant reconstruction group(P<0.001).Postoperative chemotherapy and endocrine therapy in the autologous reconstruction group were lower than those in the implant reconstruction group(P<0.001).The study based on Breast-Q scale showed that the breast satisfaction of autologous reconstruction group was higher than that of implant reconstruction(59.28±17.20 vs.54.94±14.48,P<0.05).The study based on QLQ-BR23 showed that the self-weight construction group was higher than the implant reconstruction group in the field of arm symptoms(20.02±20.80 vs.12.65±16.18,P<0.05).The study based on QLQ-C30 scale showed that there was no significant difference in all functional areas and symptom areas of patients.There was no significant difference in the number and time of social regression between the two groups.Conclusion Breast reconstruction can improve the PRO of breast cancer patients,and oncology factors will affect the choice of breast reconstruction.Patients with autologous breast reconstruction are more satisfied with breast appearance,but upper limb symptoms such as swelling and pain are more obvious than implant reconstruction,which is related to the higher proportion of axillary lymph node dissection in patients with autologous reconstruction.There is no significant difference in quality of life and social regression between the two groups.