Objective Through molecular genetics analysis of a calculi family lineage,this study aims to explore its pathogenesis and the association between genotypes and phenotypes.Methods A retrospective analysis was conducted on a calculi family lineage admitted to Tongji Hospital,affiliated with Tongji Medical College,Huazhong University of Science and Technology.Clinical data and peripheral blood samples of the affected children and some family members were collected.Whole exome sequencing was performed,followed by Sanger sequencing to validate the candidate variants.Results Among the 38 family members across four generations,10 members were diagnosed with calculi disease.The second generation,member 2(Ⅱ-2),third generation,member 2(Ⅲ-2),and third generation,member 4(Ⅲ-4)suffered from recurrent multiple kidney stones and gallstones.The second generation,member 6(Ⅱ-6),second generation,member 13(Ⅱ-13),and third generation,member 5(Ⅲ-5)had recurrent multiple kidney stones alone,while first generation,member 2(Ⅰ-2),second generation,member 4(Ⅱ-4),second generation,member 8(Ⅱ-8),and second generation,member 11(Ⅱ-11)only had gallstones.No other family members exhibited any signs of kidney or gallbladder involvement.Ⅱ-2 was diagnosed in 2018 with end-stage renal disease stage 5,grade 3 hypertension and gallstones,urinary amino acid high-performance liquid chromatography analysis indicated elevated urinary cystine.This member had a history of recurrent multiple kidney stones and recurrent urinary tract infections for over 30 years,with multiple histories of ureteroscopic stone removal.Genetic analysis revealed that Ⅱ-2,Ⅲ-2,Ⅲ-4,Ⅲ-5 and Ⅳ-1 all carry a heterozygous mutation in exon 10 of the solute carrier family 3 member 1(SLC3A1)gene,c.1889G＞A(p.Gly630Asp).The third generation,member 1(Ⅲ-1),and fourth generation,member 2(Ⅳ-2),are wild type.This mutation shows a phenomenon of family co-segregation.Conclusions The heterozygous mutation of SLC3A1 gene,c.1889G＞A,may be the genetic cause of calculi disease in multiple members of this family lineage.Recurrent multiple kidney stones and/or gallstones require high attention to genetic etiology.It is recommended to perform genetic analysis on calculi family lineages and patients with early-onset calculi disease.

Objective Through molecular genetics analysis of a calculi family lineage,this study aims to explore its pathogenesis and the association between genotypes and phenotypes.Methods A retrospective analysis was conducted on a calculi family lineage admitted to Tongji Hospital,affiliated with Tongji Medical College,Huazhong University of Science and Technology.Clinical data and peripheral blood samples of the affected children and some family members were collected.Whole exome sequencing was performed,followed by Sanger sequencing to validate the candidate variants.Results Among the 38 family members across four generations,10 members were diagnosed with calculi disease.The second generation,member 2(Ⅱ-2),third generation,member 2(Ⅲ-2),and third generation,member 4(Ⅲ-4)suffered from recurrent multiple kidney stones and gallstones.The second generation,member 6(Ⅱ-6),second generation,member 13(Ⅱ-13),and third generation,member 5(Ⅲ-5)had recurrent multiple kidney stones alone,while first generation,member 2(Ⅰ-2),second generation,member 4(Ⅱ-4),second generation,member 8(Ⅱ-8),and second generation,member 11(Ⅱ-11)only had gallstones.No other family members exhibited any signs of kidney or gallbladder involvement.Ⅱ-2 was diagnosed in 2018 with end-stage renal disease stage 5,grade 3 hypertension and gallstones,urinary amino acid high-performance liquid chromatography analysis indicated elevated urinary cystine.This member had a history of recurrent multiple kidney stones and recurrent urinary tract infections for over 30 years,with multiple histories of ureteroscopic stone removal.Genetic analysis revealed that Ⅱ-2,Ⅲ-2,Ⅲ-4,Ⅲ-5 and Ⅳ-1 all carry a heterozygous mutation in exon 10 of the solute carrier family 3 member 1(SLC3A1)gene,c.1889G＞A(p.Gly630Asp).The third generation,member 1(Ⅲ-1),and fourth generation,member 2(Ⅳ-2),are wild type.This mutation shows a phenomenon of family co-segregation.Conclusions The heterozygous mutation of SLC3A1 gene,c.1889G＞A,may be the genetic cause of calculi disease in multiple members of this family lineage.Recurrent multiple kidney stones and/or gallstones require high attention to genetic etiology.It is recommended to perform genetic analysis on calculi family lineages and patients with early-onset calculi disease.

Objective:To analyze the key β-amyloid protein (Aβ) deposition in brain regions affecting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD).Methods:Based on the positron emission tomography data of Aβ in the Alzheimer's disease neuroimaging initiative database, the penalized generalized estimating equation (PGEE) and the mixed effects regression forest algorithm (MERF) were used to conduct dimensionality reduction analysis on 164 brain regions with Aβ deposition. Additionally, a multivariate longitudinal data joint model was used to screen the key Aβ deposition brain regions that influence the progression from MCI to AD.Results:Five key brain regions were commonly screened out by the PGEE and MERF models, they were the right prefrontal orbital cortex, the left superior temporal sulcus shore cortex, the right medial orbitofrontal cortex, the left putamen, and the right transverse temporal cortex, respectively. The results of the multivariate longitudinal data joint model based on these 5 Aβ deposition brain regions showed that, except the left superior temporal sulcus shore cortex, the longitudinal change trajectories of the other 4 Aβ deposition brain regions all affected the progression from MCI to AD ( P<0.05). Conclusion:The Aβ deposition in the right prefrontal orbital cortex, right medial orbitofrontal cortex, left putamen and right transverse temporal cortex affect the progression from MCI to AD.

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.

Given the increasing concern regarding antibacterial resistance, the antimicrobial properties of naphthoquinones have recently attracted significant attention. While 1,4-naphthoquinone and its derivatives have been extensively studied, the antibacterial properties of 5,8-dihydroxy-1,4-naphthoquinone derivatives remain relatively unexplored. This study presents a comprehensive in vitro and in vivo analysis of the antibacterial activity of 35 naturally sourced and chemically synthesized derivatives of 5,8-dihydroxy-1,4-naphthoquinone. Kirby-Bauer antibiotic testing identified three compounds with activity against methicillin-resistant Staphylococcus aureus (MRSA), with one compound (PNP-02) demonstrating activity comparable to vancomycin in minimum inhibitory concentration, minimum bactericidal concentration (MBC), and time-kill assays. Microscopic and biochemical analyses revealed that PNP-02 adversely affects the cell wall and cell membrane of MRSA. Mechanistic investigations, including proteomic sequencing analyses, Western blotting, and RT-qPCR assays, indicated that PNP-02 compromises cell membrane integrity by inhibiting arginine biosynthesis and pyrimidine metabolism pathways, thereby increasing membrane permeability and inducing bacterial death. In an in vivo mouse model of skin wound healing, PNP-02 exhibited antibacterial efficacy similar to vancomycin. The compound demonstrated low toxicity to cultured human cells and in hemolysis assays and remained stable during serum incubation. These findings suggest that PNP-02 possesses promising bioactivity against MRSA and represents a potential novel antibacterial agent.
Methicillin-Resistant Staphylococcus aureus/genetics* ; Anti-Bacterial Agents/chemistry* ; Naphthoquinones/administration & dosage* ; Animals ; Microbial Sensitivity Tests ; Mice ; Humans ; Staphylococcal Infections/microbiology* ; Molecular Structure

Objective:To analyze the key β-amyloid protein (Aβ) deposition in brain regions affecting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD).Methods:Based on the positron emission tomography data of Aβ in the Alzheimer's disease neuroimaging initiative database, the penalized generalized estimating equation (PGEE) and the mixed effects regression forest algorithm (MERF) were used to conduct dimensionality reduction analysis on 164 brain regions with Aβ deposition. Additionally, a multivariate longitudinal data joint model was used to screen the key Aβ deposition brain regions that influence the progression from MCI to AD.Results:Five key brain regions were commonly screened out by the PGEE and MERF models, they were the right prefrontal orbital cortex, the left superior temporal sulcus shore cortex, the right medial orbitofrontal cortex, the left putamen, and the right transverse temporal cortex, respectively. The results of the multivariate longitudinal data joint model based on these 5 Aβ deposition brain regions showed that, except the left superior temporal sulcus shore cortex, the longitudinal change trajectories of the other 4 Aβ deposition brain regions all affected the progression from MCI to AD ( P<0.05). Conclusion:The Aβ deposition in the right prefrontal orbital cortex, right medial orbitofrontal cortex, left putamen and right transverse temporal cortex affect the progression from MCI to AD.

Objective To investigate the factors influencing the severity of cerebral white matter hyperintensity in hypertensive patients with acute cerebral infarction,and focus on the independ-ent roles of treatment adherence,advanced age,and multidimensional risk factors.Methods A single-center cross-sectional study was conducted on 262 hypertensive patients with acute cerebral infarction admitted to our department from January 2020 to June 2023.According to their score of Morisky Medication Adherence Scale(MMAS-8),they were divided into an adherence group(116 cases)and a non-adherence group(146 cases).Their demographic data,medical history,and blood pressure data were collected through electronic medical records.Fazekas score was assessed blind-ly to quantify the severity of white matter hyperintensity.MMAS-8 and Montreal Cognitive Assessment Scale(MoCA)were used to assess the behavioral indicators,and modified Rankin Scale(mRS)was employed to evaluate the neurological function.Univariate and multivariate logistic regression analyses were performed to screen the risk factors.Results There were statis-tical differences in marital status,mRS score and Fazekas score between the adherence group and the non-adherence group(P＜0.05,P＜0.01).The non-adherence group had significantly higher diastolic blood pressure than the adherence group[(87.29±7.51)mm Hg(1 mm Hg=0.133 kPa)vs(83.98±8.11)mm Hg,P=0.001].Univariate logistic regression analysis showed age of≥80 years,duration of hypertension≥5 years,systolic blood pressure,and MoCA score＜10 were no-tably correlated with severity of white matter hyperintensity(P＜0.01).Multivariate logistic re-gression analysis indicted that age of≥80 years(OR=3.305,95％CI:1.560-7.001,P=0.002),systolic blood pressure(OR=1.026,95％CI:1.008-1.044,P=0.003),MoCA score＜10(OR=5.210,95％CI:2.060-13.176,P=0.000),and treatment non-adherence(OR=2.380,95％CI:1.346-4.209,P=0.003)were independent risk factors for white matter hyperintensity severity,and duration of hypertension showed no significance in the multivariate model(P＞0.05).Conclusion Poor treatment adherence and advanced age are core factors for white matter hyper-intensity progression in hypertensive patients with acute cerebral infarction.

Objective To investigate the factors influencing the severity of cerebral white matter hyperintensity in hypertensive patients with acute cerebral infarction,and focus on the independ-ent roles of treatment adherence,advanced age,and multidimensional risk factors.Methods A single-center cross-sectional study was conducted on 262 hypertensive patients with acute cerebral infarction admitted to our department from January 2020 to June 2023.According to their score of Morisky Medication Adherence Scale(MMAS-8),they were divided into an adherence group(116 cases)and a non-adherence group(146 cases).Their demographic data,medical history,and blood pressure data were collected through electronic medical records.Fazekas score was assessed blind-ly to quantify the severity of white matter hyperintensity.MMAS-8 and Montreal Cognitive Assessment Scale(MoCA)were used to assess the behavioral indicators,and modified Rankin Scale(mRS)was employed to evaluate the neurological function.Univariate and multivariate logistic regression analyses were performed to screen the risk factors.Results There were statis-tical differences in marital status,mRS score and Fazekas score between the adherence group and the non-adherence group(P＜0.05,P＜0.01).The non-adherence group had significantly higher diastolic blood pressure than the adherence group[(87.29±7.51)mm Hg(1 mm Hg=0.133 kPa)vs(83.98±8.11)mm Hg,P=0.001].Univariate logistic regression analysis showed age of≥80 years,duration of hypertension≥5 years,systolic blood pressure,and MoCA score＜10 were no-tably correlated with severity of white matter hyperintensity(P＜0.01).Multivariate logistic re-gression analysis indicted that age of≥80 years(OR=3.305,95％CI:1.560-7.001,P=0.002),systolic blood pressure(OR=1.026,95％CI:1.008-1.044,P=0.003),MoCA score＜10(OR=5.210,95％CI:2.060-13.176,P=0.000),and treatment non-adherence(OR=2.380,95％CI:1.346-4.209,P=0.003)were independent risk factors for white matter hyperintensity severity,and duration of hypertension showed no significance in the multivariate model(P＞0.05).Conclusion Poor treatment adherence and advanced age are core factors for white matter hyper-intensity progression in hypertensive patients with acute cerebral infarction.

Purpose To analyze the imaging features of juvenile xanthogranuloma (JXG) in children and to improve the diagnostic level of JXG. Materials and Methods The clinical and imaging data of 15 children with JXG confirmed by menstrual biopsy or surgical pathology from January 2011 to December 2023 in Hunan Children's Hospital were retrospectively analyzed. 13 cases underwent CT examinations and 7 cases underwent MRI examinations,of which 5 underwent both MRI and CT examinations. The type,number,involved site,lesion signal,density and enhancement characteristics of JXG were observed and analyzed. Results Of the 15 children with JXG,7 cases were systemic. It involves the central nervous system (5 cases,including pineal region,choroid plexus,cranial sublamina,middle cranial fossa and spinal canal),mastoid process (1 case),liver (3 cases),kidney (3 cases),pancreas (1 case) and lung (2 cases),mainly manifested as single or multiple nodular,mass or patchy lesions in different organs. On MRI,the lesions showed slightly higher or lower or mixed signals on T1WI,low/slightly lower or higher or mixed signals on T2WI,unrestricted or limited diffusion,and significantly enhanced or slightly enhanced enhancement. On CT,the lesions showed patchy,clumpy or nodular low-density or high-density shadows,and the enhancement was mild to moderate uneven enhancement or obvious enhancement. 8 patients with simple skin type showed nodular shadow of subcutaneous soft tissue,equal or slightly low signal on T1WI,slightly low/low signal on T2WI and obvious enhancement. CT showed a slightly low/equal/slightly high density image,and the enhancement showed a slightly enhanced/significantly enhanced image. Conclusion JXG mainly presents as single or multiple nodules and clumps in subcutaneous soft tissues and/or various organs,with increased signal on T1WI,decreased signal on T2WI,decreased or increased diffusion and obvious enhancement. The CT and MRI manifestations of JXG have certain characteristics.