1.Timosaponin BⅡ Combined with Icariin Maintains Osteoclast-osteoblast Coupling by Restoring Yin-Yang Balance
Zaishi ZHU ; Zeling HUANG ; Weiye CAI ; Hua CHEN ; Boen SONG ; Yue LU ; Qing LU ; Xiaofeng SHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(18):48-57
ObjectiveTo explore the effect of timosaponin BⅡ (TBⅡ) combined with icariin (ICA) on osteoclast (OC)-osteoblast (OB) coupling and decipher the mechanism from the cellular level. MethodsThe cell counting kit-8 (CCK-8) was used to assess the effects of different concentrations of TBⅡ and different concentrations of TBⅡ+ICA on the growth of RAW264.7 cells. Soluble receptor activator of nuclear factor-κB ligand (sRANKL) was used to induce the differentiation of RAW264.7 pre-osteoclasts into osteoclasts. The cells were allocated into sRANKL, TBⅡ (1, 5, 10 μmol·L-1), and TBⅡ+ICA groups. Tartrate-resistant acid phosphatase staining was performed to assess the effects of TBⅡ and TBⅡ+ICA on osteoclast differentiation. Real-time quantitative polymerase chain reaction (Real-time PCR) was conducted to examine the effects of TBⅡ+ICA on the expression of key genes involved in osteoclast differentiation and osteoclast-derived coupling factors. The osteogenic differentiation conditioned medium mixed with osteoclast supernatant was used to induce osteogenic differentiation of MC3T3-E1 cells. Alkaline phosphatase staining and alizarin red S staining were employed to determine the effect of TBⅡ+ICA on osteogenic differentiation. Real-time PCR was employed to evaluate the effects of conditioned medium on key genes involved in osteogenic differentiation. ResultsTBⅡ at 1, 5, 10 μmol·L-1 had no significant effect on the cell survival rate. Compared with the sRANKL group, TBⅡ inhibited osteoclast differentiation in a dose-dependent manner and achieved the best effect at 10 μmol·L-1 (P<0.01). Compared with the sRANKL group, different concentrations of TBⅡ down-regulated the mRNA levels of osteoclast differentiation-related genes c-Fos, RANK, and RANKL (P<0.05). None of 10 μmol·L-1 TBⅡ, 10 μmol·L-1 TBⅡ+10-4 μmol·L-1 ICA, or 10 μmol·L-1 TBⅡ+10-3 μmol·L-1 ICA affected the viability of RAW264.7 cells. TBⅡ and/or ICA inhibited osteoclast differentiation (P<0.01), and TBⅡ + ICA had the best effect (P<0.01). Compared with the sRANKL group, TBⅡ and/or ICA down-regulated the mRNA levels of c-Fos, RANK, and RANKL (P<0.05). The single application of TBⅡ and ICA had no significant effect on the mRNA levels of Wnt10b, Cthrc1, and C3a, while TBⅡ+ICA exerted up-regulating effects (P<0.05). Compared with those in the blank group, the bone differentiation and mineralization abilities of the normal osteogenic induction group and each osteogenic induction + osteoclast supernatant group were improved (P<0.01). Compared with the blank group, the normal osteogenic induction group and the osteogenic induction + osteoclast supernatant group showed up-regulated mRNA levels of Runx2 and OCN (P<0.01). ConclusionTBⅡ+ICA can inhibit osteoclast differentiation, maintain the normal osteoclast-osteoblast coupling, and promote osteogenic differentiation.
2.Establishment of quantitative models for effective components in Yishen Xiezhuo Mixture
Zi-fang FENG ; Min-min HU ; Xiao-wei CHEN ; Wen-ming ZHANG ; Li-hong GU ; Ping QIN ; Yi PENG ; Zhen-hua BIAN ; Qing-you YANG ; Tu-lin LU
Chinese Traditional Patent Medicine 2025;47(10):3177-3184
AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P>0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.
3.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
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.
4.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
5.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
6.Identifying neurophysiological characteristics for early recognition of bipolar disorder based on gamma band effective connectivity of the prefrontal-striatal circuit
Wei YOU ; Lingling HUA ; Yishan DU ; Junling SHENG ; Rui YAN ; Qing LU ; Zhijian YAO
Chinese Journal of Psychiatry 2025;58(2):125-133
Objective:This study aims to analyze the gamma band effective connectivity characteristics of the prefrontal-striatal circuitry in bipolar disorder patients with and without a history of manic episodes, as well as in major depressive disorder patients, during the recognition of positive emotional faces, this study aims to identify unique neurophysiological features that may aid in the early detection of bipolar disorder.Methods:This retrospective study collected clinical data and magnetoencephalography (MEG) imaging data from patients performing a positive emotional face recognition task at the Affiliated Brain Hospital of Nanjing Medical University from May 2009 to December 2019. The study included 75 patients with major depressive disorder and 29 patients with bipolar disorder in a depressive episode (rBD group). Concurrently, 39 age-and gender-matched healthy controls (HC group) were recruited. After a follow-up period of at least 5 years, 23 out of the 75 patients with major depressive disorder converted to bipolar disorder (ctBD group), while the remaining 52 who did not convert maintained a diagnosis of major depressive disorder.Results:There were statistically significant differences in gamma-band effective connectivity in the prefrontal-striatal circuit when recognizing positive emotional faces among the converted to bipolar disorder (ctBD), raw bipolar disorder, major depressive disorder, and HC groups ( H=9.04, 10.30, 8.30, 13.43, 14.38, 12.62, 9.82, 8.94, 24.62, 7.89, 18.53, 9.97, 9.58, 12.79, P<0.05). The ctBD group, rBD group, and major depressive group all showed reduction in effective connectivity from the right orbital inferior frontal gyrus (ORBinf.R) to the left orbital inferior frontal gyrus (ORBinf.L) [ Z=-1.98, -3.38, -2.88], from the right orbital inferior frontal gyrus to the right ventral striatum (VS.R) ( Z=-2.05, -2.76, -2.11; P<0.05) and from the left ventral striatum (VS.L) to the left orbital middle frontal gyrus (ORBmid.L) ( Z=-2.76, -1.98, -2.43; P<0.05). Among the disease groups, the ctBD group showed significantly enhanced effective connectivity strength compared to the major depressive group from the right amygdala (AMYG.R) to the left orbital inferior frontal gyrus(0.04(0.03, 0.08)), from the right amygdala to the left ventral striatum(0.05(0.03, 0.09)), and from the right ventral striatum to the right anterior cingulate and paracingulate gyri (ACG.R) (0.04(0.02, 0.08)) ( Z=4.17, 3.70, 3.35; P<0.001).The ctBD group also exhibited enhanced effective connectivity compared to the rBD group from ORBinf.R to the ACG.R, fron the AMYG.R to the ORBinf.L, from the AMYG.R to the VS.L, and from the VS.R to the ACG.R ( Z=2.05, 4.61, 3.60, 3.04; P<0.05).The rBD group demonstrated reduced effective connectivity compared to the major depressive disorder group from the right orbital middle frontal gyrus(ORBmid.R) to the left anterior cingulate and paracingulate gyri (ACG.L), ORBinf.R to the ACG.R and from the ORBinf.R to the AMYG.R ( Z=-2.12, -2.40, -2.22; P<0.05). Conclusion:There are significant differences in the gamma-band effective connectivity characteristics of the prefrontal-striatal pathway when recognizing positive emotional faces between patients with bipolar disorder in depressive episodes and those with depression, as well as differences between bipolar depressed patients with and without a history of manic episodes.
7.Whole-brain functional connectivity characteristics in the gamma sub-band at resting-state in depressed patients with suicidal ideation: a magnetoencephalography study
Jiayu LIU ; Yi XIA ; Junling SHENG ; Yishan DU ; Lingling HUA ; Qing LU ; Zhijian YAO
Chinese Journal of Psychiatry 2025;58(9):672-680
Objective:To explore the differences in the whole-brain functional connectivity characteristics of magnetoencephalography gamma sub-band in resting state between patients with depression with high and low suicidal ideation.Methods:Clinical data of 60 patients with depression (depression group) who visited the Department of Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University from October 2021 to June 2024 were prospectively collected, including 20 males and 40 females aged 16-41 years. During the same period, 75 healthy controls (healthy control group) were recruited, matched for gender and age, comprising 33 males and 42 females, aged 18-43 years. The Hamilton Depression Scale-17 items (HAMD-17) was used to assess the degree of depression in patients, and the score of the third item was used to divide the patients into a high suicidal ideation group of 37 cases (2-3 points) and a low suicidal ideation group of 23 cases (0-1 points). The Beck Scale for Suicide Ideation-Chinese Version (BSI-CV) was used to assess the intensity of suicidal ideation in patients in the last week and at the most severe stage. Brain imaging data of the subjects were collected using a CTF-275 channel magnetoencephalography device and a 3 T magnetic resonance imaging device. The functional connectivity matrix of the gamma sub-band depression group, healthy control group, high suicidal ideation group, and low suicidal ideation group was calculated using the envelope correlation method. The network-based statistics (NBS) algorithm was used to correct for multiple comparisons and compare the differences in brain network functional connectivity between the depression group/healthy control group and between the high/low suicidal ideation groups.Results:Compared with the healthy control group, the functional connectivity between the bilateral middle frontal gyrus, right inferior frontal gyrus orbital part, right anterior cingulate gyrus, left middle frontal gyrus orbital part, and right superior parietal lobule in the depression group was significantly enhanced in the low gamma frequency band (30-60 Hz) ( θ=3, P=0.042). Compared with the low suicidal ideation group, the functional connectivity between the right amygdala as a central node and the right superior frontal gyrus, left hippocampus, right upper temporal pole, and left transverse temporal gyrus in the high suicidal ideation group was significantly enhanced in the high gamma frequency band (60-90 Hz) ( θ=3, P=0.049). Conclusion:In the low gamma frequency band, patients with depression have neural dysfunction mainly in the frontal lobe. In the high gamma frequency band, patients with high suicidal ideation have functional connectivity abnormalities centered on the amygdala.
8.Scientific characterization of medicinal amber: evidence from geological and archaeological studies.
Qi LIU ; Qing-Hui LI ; Di-Ying HUANG ; Yan LI ; Pan XIAO ; Ji-Qing BAI ; Hua-Sheng PENG ; Lu-Qi HUANG
China Journal of Chinese Materia Medica 2025;50(11):2905-2914
Amber and subfossil resins are subjects of interdisciplinary research across multiple fields. However, due to their diverse origins and complex compositions, different disciplines vary in their definitions and functional interpretations. In traditional Chinese medicine(TCM), amber has been utilized as a medicinal material since ancient time, with extensive historical documentation. However, its classification, provenance, and nomenclature remain ambiguous, and authentic medicinal amber artifacts are exceedingly rare. This study employed Fourier-transform infrared spectroscopy(FTIR) to characterize amber and subfossil resins from various geological sources and commercially "medicinal amber". Additionally, historical literature and market surveys were analyzed to explore their provenance, composition, and functional attributes. The results indicate that amber and subfossil resins from different sources and with different compositions exhibit distinct fingerprint characteristics in the FTIR spectral range of 1 800-700 cm~(-1). "Medicinal amber" available in the market primarily consists of subfossil or modern resins, significantly differing in composition and structure from geological amber. This study highlights the importance of interdisciplinary research on amber identification and resource management. It is essential to establish a systematic database of amber and subfossil resin characteristics and integrate modern analytical techniques to enhance research on their composition, pharmacological mechanisms, and potential therapeutic effects, thereby promoting the standardized utilization of amber resources and advancing the modernization of TCM.
Amber/history*
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Archaeology
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Spectroscopy, Fourier Transform Infrared
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Medicine, Chinese Traditional
9.Explanation and interpretation of blood transfusion provisions for children with hematological diseases in the national health standard "Guideline for pediatric transfusion".
Ming-Yi ZHAO ; Rong HUANG ; Rong GUI ; Qing-Nan HE ; Ming-Yan HEI ; Xiao-Fan ZHU ; Jun LU ; Xiao-Jun XU ; Tian-Ming YUAN ; Rong ZHANG ; Xu WANG ; Jin-Ping LIU ; Jing WANG ; Zhi-Li SHAO ; Yong-Jian GUO ; Xin-Yin WU ; Jia-Rui CHEN ; Qi-Rong CHEN ; Jia GUO ; Ming-Hua YANG
Chinese Journal of Contemporary Pediatrics 2025;27(1):18-25
To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion is one of the most commonly used supportive treatments for children with hematological diseases. This guideline provides guidance and recommendations for blood transfusions in children with aplastic anemia, thalassemia, autoimmune hemolytic anemia, glucose-6-phosphate dehydrogenase deficiency, acute leukemia, myelodysplastic syndromes, immune thrombocytopenic purpura, and thrombotic thrombocytopenic purpura. This article presents the evidence and interpretation of the blood transfusion provisions for children with hematological diseases in the "Guideline for pediatric transfusion", aiming to assist in the understanding and implementing the blood transfusion section of this guideline.
Humans
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Child
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Hematologic Diseases/therapy*
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Blood Transfusion/standards*
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Practice Guidelines as Topic
10.Explanation and interpretation of the compilation of blood transfusion provisions for children undergoing hematopoietic stem cell transplantation in the national health standard "Guideline for pediatric transfusion".
Rong HUANG ; Qing-Nan HE ; Ming-Yan HEI ; Xiao-Fan ZHU ; Jun LU ; Xiao-Jun XU ; Tian-Ming YUAN ; Rong ZHANG ; Xu WANG ; Jin-Ping LIU ; Jing WANG ; Zhi-Li SHAO ; Ming-Yi ZHAO ; Yong-Jian GUO ; Xin-Yin WU ; Jia-Rui CHEN ; Qi-Rong CHEN ; Jia GUO ; Rong GUI ; Ming-Hua YANG
Chinese Journal of Contemporary Pediatrics 2025;27(2):139-143
To guide clinical blood transfusion practices for pediatric patients, the National Health Commission has issued the health standard "Guideline for pediatric transfusion" (WS/T 795-2022). Blood transfusion for children undergoing hematopoietic stem cell transplantation is highly complex and challenging. This guideline provides recommendations on transfusion thresholds and the selection of blood components for these children. This article presents the evidence and interpretation of the transfusion provisions for children undergoing hematopoietic stem cell transplantation, with the aim of enhancing the understanding and implementation of the "Guideline for pediatric transfusion".
Humans
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Hematopoietic Stem Cell Transplantation
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Child
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Blood Transfusion/standards*
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Practice Guidelines as Topic

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