1.Iron accumulation and its impact on osteoporotic fractures in postmenopausal women.
Hui CAI ; Huimei ZHANG ; Weiting HE ; Heng ZHANG
Journal of Zhejiang University. Science. B 2023;24(4):301-311
Postmenopausal osteoporosis is a kind of degenerative disease, also described as "invisible killer." Estrogen is generally considered as the key hormone for women to maintain bone mineral content during their lives. Iron accumulation refers to a state of human serum ferritin that is higher than the normal value but less than 1000 μg/L. It has been found that iron accumulation and osteoporosis could occur simultaneously with the decrease in estrogen level after menopause. In recent years, many studies indicated that iron accumulation plays a vital role in postmenopausal osteoporosis, and a significant correlation has been found between iron accumulation and fragility fractures. In this review, we summarize and analyze the relevant literature including randomized controlled trials, systematic reviews, and meta-analyses between January 1996 and July 2022. We investigate the mechanism of the effect of iron accumulation on bone metabolism and discuss the relationship of iron accumulation, osteoporosis, and postmenopausal fragility fractures, as well as the main clinical treatment strategies. We conclude that it is necessary to pay attention to the phenomenon of iron accumulation in postmenopausal women with osteoporosis and explore the in-depth mechanism of abnormal bone metabolism caused by iron accumulation, in order to facilitate the discovery of effective therapeutic targets for postmenopausal osteoporosis.
Humans
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Female
;
Osteoporotic Fractures
;
Osteoporosis, Postmenopausal/drug therapy*
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Postmenopause
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Osteoporosis
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Bone Density
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Estrogens
;
Iron/therapeutic use*
2.Research Progress of Age Estimation in the Living by Knee Joint MRI.
Hong-Xia HAO ; Ya-Hui WANG ; Zhi-Lu ZHOU ; Tai-Ang LIU ; Jin CHEN ; Yu-Heng HE ; Lei WAN ; Wen-Tao XIA
Journal of Forensic Medicine 2023;39(1):66-71
Bone development shows certain regularity with age. The regularity can be used to infer age and serve many fields such as justice, medicine, archaeology, etc. As a non-invasive evaluation method of the epiphyseal development stage, MRI is widely used in living age estimation. In recent years, the rapid development of machine learning has significantly improved the effectiveness and reliability of living age estimation, which is one of the main development directions of current research. This paper summarizes the analysis methods of age estimation by knee joint MRI, introduces the current research trends, and future application trend.
Epiphyses/diagnostic imaging*
;
Age Determination by Skeleton/methods*
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Reproducibility of Results
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Magnetic Resonance Imaging/methods*
;
Knee Joint/diagnostic imaging*
3.Development and validation of prognostic nomogram for malignant pleural mesothelioma.
Xiao Jie XIE ; Jian You CHEN ; Jie JIANG ; Hui DUAN ; Yi WU ; Xing Wen ZHANG ; Shen Jie YANG ; Wen ZHAO ; Sha Sha SHEN ; Li WU ; Bo HE ; Ying Ying DING ; Heng LUO ; Si Yun LIU ; Dan HAN
Chinese Journal of Oncology 2023;45(5):415-423
Objective: To development the prognostic nomogram for malignant pleural mesothelioma (MPM). Methods: Two hundred and ten patients pathologically confirmed as MPM were enrolled in this retrospective study from 2007 to 2020 in the People's Hospital of Chuxiong Yi Autonomous Prefecture, the First and Third Affiliated Hospital of Kunming Medical University, and divided into training (n=112) and test (n=98) sets according to the admission time. The observation factors included demography, symptoms, history, clinical score and stage, blood cell and biochemistry, tumor markers, pathology and treatment. The Cox proportional risk model was used to analyze the prognostic factors of 112 patients in the training set. According to the results of multivariate Cox regression analysis, the prognostic prediction nomogram was established. C-Index and calibration curve were used to evaluate the model's discrimination and consistency in raining and test sets, respectively. Patients were stratified according to the median risk score of nomogram in the training set. Log rank test was performed to compare the survival differences between the high and low risk groups in the two sets. Results: The median overall survival (OS) of 210 MPM patients was 384 days (IQR=472 days), and the 6-month, 1-year, 2-year, and 3-year survival rates were 75.7%, 52.6%, 19.7%, and 13.0%, respectively. Cox multivariate regression analysis showed that residence (HR=2.127, 95% CI: 1.154-3.920), serum albumin (HR=1.583, 95% CI: 1.017-2.464), clinical stage (stage Ⅳ: HR=3.073, 95% CI: 1.366-6.910) and the chemotherapy (HR=0.476, 95% CI: 0.292-0.777) were independent prognostic factors for MPM patients. The C-index of the nomogram established based on the results of Cox multivariate regression analysis in the training and test sets were 0.662 and 0.613, respectively. Calibration curves for both the training and test sets showed moderate consistency between the predicted and actual survival probabilities of MPM patients at 6 months, 1 year, and 2 years. The low-risk group had better outcomes than the high-risk group in both training (P=0.001) and test (P=0.003) sets. Conclusion: The survival prediction nomogram established based on routine clinical indicators of MPM patients provides a reliable tool for prognostic prediction and risk stratification.
Humans
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Mesothelioma, Malignant
;
Prognosis
;
Nomograms
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Retrospective Studies
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Proportional Hazards Models
4.Current status and prospect of virtual reality technique's application in wound repair.
Heng Chang LI ; Jie Hui LI ; Wei LU ; Xuan HE
Chinese Journal of Burns 2022;38(5):486-490
As a new technology of drug-free treatment, virtual reality technique has been used in various medical fields, and is being increasingly applied in the field of wound repair. Virtual reality technology can alleviate the pain caused by acute and chronic wounds, relieve the psychological anxiety of patients with wounds, and then facilitate the recovery of patients. This paper reviews the research progress of virtual reality technique's application as a clinical adjuvant therapy in wound repair in three aspects: pain treatment, psychological treatment, and functional rehabilitation, analyzes the advantages and disadvantages of this technique, and discusses the prospects of its further application in the field of wound repair.
Anxiety
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Humans
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Pain
;
Pain Management/methods*
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Technology
;
Virtual Reality
5.Characteristics of Traditional Chinese Medicine Syndromes and Treatments of COVID-19 Patients from Two Hospitals Based on “Treatment of Disease in Accordance with Three Conditions”
Xiao-hua XU ; Heng WENG ; Ze-hui HE ; Huai-ti WANG ; Li LI ; Yun-tao LIU ; Li-juan TANG ; Xin YIN ; Bang-han DING ; Jian-wen GUO ; Zhong-de ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(4):172-180
ObjectiveTo explore the guidance value of “treatment of disease in accordance with three conditions” theory in the prevention and treatment of corona virus disease 2019(COVID-19) based on the differences of syndromes and traditional Chinese medicine(TCM) treatments in COVID-19 patients from Xingtai Hospital of Chinese Medicine of Hebei province and Ruili Hospital of Chinese Medicine and Dai Medicine of Yunnan province and discuss its significance in the prevention and treatment of the unexpected acute infectious diseases. MethodDemographics data and clinical characteristics of COVID-19 patients from the two hospitals were collected retrospectively and analyzed by SPSS 18.0. The information on formulas was obtained from the hospital information system (HIS) of the two hospitals and analyzed by the big data intelligent processing and knowledge service system of Guangdong Hospital of Chinese Medicine for frequency statistics and association rules analysis. Heat map-hierarchical clustering analysis was used to explore the correlation between clinical characteristics and formulas. ResultA total of 175 patients with COVID-19 were included in this study. The 70 patients in Xingtai,dominated by young and middle-aged males,had clinical symptoms of fever, abnormal sweating,and fatigue. The main pathogenesis is stagnant cold-dampness in the exterior and impaired yin by depressed heat, with manifest cold, dampness, and deficiency syndromes. The therapeutic methods highlight relieving exterior syndrome and resolving dampness, accompanied by draining depressed heat. The core Chinese medicines used are Poria,Armeniacae Semen Amarum,Gypsum Fibrosum,Citri Reticulatae Pericarpium,and Pogostemonis Herba. By contrast,the 105 patients in Ruili, dominated by young females, had atypical clinical symptoms, and most of them were asymptomatic patients or mild cases. The main pathogenesis is dampness obstructing the lung and the stomach, with obvious dampness and heat syndromes. The therapeutic methods are mainly invigorating the spleen, resolving dampness, and dispersing Qi with light drugs. The core Chinese medicines used are Poria,Atractylodis Macrocephalae Rhizoma,Glycyrrhizae Radix et Rhizoma,Coicis Semen,Platycodonis Radix,Lonicerae Japonicae Flos, and Pogostemonis Herba. ConclusionThe differences in clinical characteristics, TCM syndromes, and medication of COVID-19 patients from the two places may result from different regions,population characteristics, and the time point of the COVID-19 outbreak. The “treatment of disease in accordance with three conditions” theory can help to understand the internal correlation and guide the treatments.
6.Morinda officinalis oligosaccharides increase serotonin in the brain and ameliorate depression via promoting 5-hydroxytryptophan production in the gut microbiota.
Zheng-Wei ZHANG ; Chun-Sheng GAO ; Heng ZHANG ; Jian YANG ; Ya-Ping WANG ; Li-Bin PAN ; Hang YU ; Chi-Yu HE ; Hai-Bin LUO ; Zhen-Xiong ZHAO ; Xin-Bo ZHOU ; Yu-Li WANG ; Jie FU ; Pei HAN ; Yu-Hui DONG ; Gang WANG ; Song LI ; Yan WANG ; Jian-Dong JIANG ; Wu ZHONG
Acta Pharmaceutica Sinica B 2022;12(8):3298-3312
Morinda officinalis oligosaccharides (MOO) are an oral drug approved in China for the treatment of depression in China. However, MOO is hardly absorbed so that their anti-depressant mechanism has not been elucidated. Here, we show that oral MOO acted on tryptophan → 5-hydroxytryptophan (5-HTP) → serotonin (5-HT) metabolic pathway in the gut microbiota. MOO could increase tryptophan hydroxylase levels in the gut microbiota which accelerated 5-HTP production from tryptophan; meanwhile, MOO inhibited 5-hydroxytryptophan decarboxylase activity, thus reduced 5-HT generation, and accumulated 5-HTP. The raised 5-HTP from the gut microbiota was absorbed to the blood, and then passed across the blood-brain barrier to improve 5-HT levels in the brain. Additionally, pentasaccharide, as one of the main components in MOO, exerted the significant anti-depressant effect through a mechanism identical to that of MOO. This study reveals for the first time that MOO can alleviate depression via increasing 5-HTP in the gut microbiota.
7.Clinical treatment outcomes and their changes in extremely preterm twins: a multicenter retrospective study in Guangdong Province, China.
Bi-Jun SHI ; Ying LI ; Fan WU ; Zhou-Shan FENG ; Qi-Liang CUI ; Chuan-Zhong YANG ; Xiao-Tong YE ; Yi-Heng DAI ; Wei-Yi LIANG ; Xiu-Zhen YE ; Jing MO ; Lu DING ; Ben-Qing WU ; Hong-Xiang CHEN ; Chi-Wang LI ; Zhe ZHANG ; Xiao RONG ; Wei SHEN ; Wei-Min HUANG ; Bing-Yan YANG ; Jun-Feng LYU ; Hui-Wen HUANG ; Le-Ying HUO ; Hong-Ping RAO ; Wen-Kang YAN ; Xue-Jun REN ; Yong YANG ; Fang-Fang WANG ; Dong LIU ; Shi-Guang DIAO ; Xiao-Yan LIU ; Qiong MENG ; Yu WANG ; Bin WANG ; Li-Juan ZHANG ; Yu-Ge HUANG ; Dang AO ; Wei-Zhong LI ; Jie-Ling CHEN ; Yan-Ling CHEN ; Wei LI ; Zhi-Feng CHEN ; Yue-Qin DING ; Xiao-Yu LI ; Yue-Fang HUANG ; Ni-Yang LIN ; Yang-Fan CAI ; Sha-Sha HAN ; Ya JIN ; Guo-Sheng LIU ; Zhong-He WAN ; Yi BAN ; Bo BAI ; Guang-Hong LI ; Yue-Xiu YAN
Chinese Journal of Contemporary Pediatrics 2022;24(1):33-40
OBJECTIVES:
To investigate the clinical treatment outcomes and the changes of the outcomes over time in extremely preterm twins in Guangdong Province, China.
METHODS:
A retrospective analysis was performed for 269 pairs of extremely preterm twins with a gestational age of <28 weeks who were admitted to the department of neonatology in 26 grade A tertiary hospitals in Guangdong Province from January 2008 to December 2017. According to the admission time, they were divided into two groups: 2008-2012 and 2013-2017. Besides, each pair of twins was divided into the heavier infant and the lighter infant subgroups according to birth weight. The perinatal data of mothers and hospitalization data of neonates were collected. The survival rate of twins and the incidence rate of complications were compared between the 2008-2012 and 2013-2017 groups.
RESULTS:
Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of severe asphyxia and smaller head circumference at birth (P<0.05). The mortality rates of both of the twins, the heavier infant of the twins, and the lighter infant of the twins were lower in the 2013-2017 group compared with the 2008-2012 group (P<0.05). Compared with the 2008-2012 group, the 2013-2017 group (both the heavier infant and lighter infant subgroups) had lower incidence rates of pulmonary hemorrhage, patent ductus arteriosus (PDA), periventricular-intraventricular hemorrhage (P-IVH), and neonatal respiratory distress syndrome (NRDS) and a higher incidence rate of bronchopulmonary dysplasia (P<0.05).
CONCLUSIONS
There is a significant increase in the survival rate over time in extremely preterm twins with a gestational age of <28 weeks in the 26 grade A tertiary hospitals in Guangdong Province. The incidences of severe asphyxia, pulmonary hemorrhage, PDA, P-IVH, and NRDS decrease in both the heavier and lighter infants of the twins, but the incidence of bronchopulmonary dysplasia increases. With the improvement of diagnosis and treatment, the multidisciplinary collaboration between different fields of fetal medicine including prenatal diagnosis, obstetrics, and neonatology is needed in the future to jointly develop management strategies for twin pregnancy.
Bronchopulmonary Dysplasia/epidemiology*
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Female
;
Gestational Age
;
Humans
;
Infant
;
Infant, Extremely Premature
;
Infant, Newborn
;
Pregnancy
;
Respiratory Distress Syndrome, Newborn/epidemiology*
;
Retrospective Studies
;
Treatment Outcome
8.Mechanism of Modified Liuwei Dihuangtang in Bone Protection of CKD-MBD Model Rats: An Exploration Based on Klotho-FGF23 Axis
Hua-hui GUO ; Mei-dan LI ; Ren-fa HUANG ; Qun-qing LIANG ; He-sheng LI ; Xue-pin LIU ; Ruo-lin WANG ; Si-heng SHEN
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(24):61-70
Objective:To observe the effects of modified Liuwei Dihuangtang on serum fibroblast growth factor 23 (FGF23), full-length intact parathyroid hormone (iPTH), and 1,25-dihydroxyvitamin D3 [1,25(OH)2D3] levels and Klotho and FGF23 protein expression in renal and bone tissues of rats exposed to high phosphorus combined with adenine, so as to explore the mechanism of modified Liuwei Dihuangtang against renal osteopathy. Method:One hundred and thirty healthy adult SD rats were randomly divided into five groups, namely normal group(
9.COVID-19 in the immunocompromised population: data from renal allograft recipients throughout full cycle of the outbreak in Hubei province, China.
Weijie ZHANG ; Fei HAN ; Xiongfei WU ; Zhendi WANG ; Yanfeng WANG ; Xiaojun GUO ; Song CHEN ; Tao QIU ; Heng LI ; Yafang TU ; Zibiao ZHONG ; Jiannan HE ; Bin LIU ; Hui ZHANG ; Zhitao CAI ; Long ZHANG ; Xia LU ; Lan ZHU ; Dong CHEN ; Jiangqiao ZHOU ; Qiquan SUN ; Zhishui CHEN
Chinese Medical Journal 2021;135(2):228-230
10.Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death.
Ze Hao LI ; Ning Guo LIU ; He Wen DONG ; Lian Jie LI ; Heng Hui HE ; Li Hua LIN ; Qian LIU ; Ming Zhen YANG
Journal of Forensic Medicine 2021;37(4):546-554
In the field of forensic medicine, diagnosis of sudden cardiac death is limited by subjective factors and manual measurement methods, so some parameters may have estimation deviation or measurement deviation. As postmortem CT imaging plays a more and more important role in the appraisal of cause of death and cardiopathology research, the application of deep learning such as artificial intelligence technology to analyze vast amounts of cardiac imaging data has provided a possibility for forensic identification and scientific research workers to conduct precise diagnosis and quantitative analysis of cardiac diseases. This article summarizes the main researches on deep learning in the field of cardiac imaging in recent years, and proposes a feasible development direction for the application of deep learning in the virtual anatomy of sudden cardiac death at present.
Artificial Intelligence
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Autopsy
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Death, Sudden, Cardiac/etiology*
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Deep Learning
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Forensic Medicine
;
Humans

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