1.Current Research Status of Digital Technology in the Rehabilitation of Rare Neurological and Muscular Diseases
Yixuan GUO ; Yi GAO ; Yiyang YAO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):122-131
To review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases. We searched PubMed, Web of Science, Embase, CNKI, VIP, and Wanfang databases for literature on neuromuscular diseases, rare diseases, digital and intelligent technologies, and rehabilitation published from the inception of the databases to June 2024. Basic and research-related information from the retrieved literature was extracted and analyzed. A total of 43 RCTs in English from 14 countries were included. The most studied diseases were Parkinson′s disease and multiple sclerosis. The application of DI-driven technologies in rehabilitation of rare neuromuscular diseases was still limited. The commonly used technologies were virtual reality (VR) games, intelligent treadmill assistance, gait training robots, hybrid assistive limb (HAL), wearable sensors and tele-rehabilitation (TR) systems. These technologies were applied in patients′ homes or rehabilitation service centers. The VR games significantly improved both static/dynamic balance functions and cognitive functions. The intelligent treadmill assistance significantly enhanced gait speed and stride length. The gait training robots significantly improved balance, gait speed and stride length of patients. The wearable exoskeletons significantly enhanced walking ability. DI-driven rehabilitation measures have great value and potential in the field of neuromuscular disease rehabilitation. Their advantages and characteristics can meet the diverse needs of rare disease patients. In the future, a hierarchical and collaborative rehabilitation service system should be established to meet the urgent needs of the rehabilitation of rare neuromuscular diseases. Combining the advantages of digitization and intelligence will provide standardized, scientific, convenient and affordable rehabilitation services to patients.
2.The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases
Yiyang YAO ; Yi GAO ; Yixuan GUO ; Zhuoyue QIN ; Yaofang ZHANG ; Jiaqi JING ; Jing XIE ; Jian GUO ; Shuyang ZHANG
JOURNAL OF RARE DISEASES 2025;4(1):46-53
To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings. We designed the search strategy and used the words " rare diseases"" patient management"" non-hospitalized management"" community management"" digital intelligence"" big data"" telemedicine" as MESH terms or free words. We searched the database of PubMed, Science-Direct, Web of Science, CNKI, Wanfang and VIP from the beginning of the database to July 2024 and used computer retrieval to get the literatures on the application of DI technology in the management of patients with rare diseases in non-hospital setting. We extracted the information of the first author, country or region, publication time, research participants, DI technology application, and application effect for summary analysis. A total of 13 articles were included in this study, which were from 8 countries or regions. We found that DI technologies used were in the following forms: Internet information platform, wearable devices, telemedicine management platform and electronic database. The DI technology was used by the patients with rare diseases, patient caregivers and professional medical staffs. The application of all the forms above in different populations had good effect. The Internet information platform helped patients and their caregivers learn more about the disease and improved their self-management ability. The wearable device helped monitor the health status of patients in real time and predict the risk of emergent events. The telemedicine management platform facilitated to optimize the allocation of medical resources and strengthen doctor-patient communication. The electronic health database promoted the interconnection of data inside and outside the hospital and improved the accuracy of decision-making through data sharing. The application of DI technology in the management of patients with rare diseases in non-hospitalized settings has shown positive results. In the future, it is necessary to correct the shortcomings and to deal with the challenges in terms of accuracy, readiness, applicability, and privacy protection. Besides, the DI can be integrated into the tri-level management system of patients known as the "patient-community-hospital". It is advisable to take the advantages of digital intelligence technology to improve the efficiency and quality of management of patients in non-hospitalized settings.
3.Epidemiological status, development trends, and risk factors of disability-adjusted life years due to diabetic kidney disease: A systematic analysis of Global Burden of Disease Study 2021.
Jiaqi LI ; Keyu GUO ; Junlin QIU ; Song XUE ; Linhua PI ; Xia LI ; Gan HUANG ; Zhiguo XIE ; Zhiguang ZHOU
Chinese Medical Journal 2025;138(5):568-578
BACKGROUND:
Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions.
METHODS:
Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs).
RESULTS:
The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks.
CONCLUSIONS
DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans
;
Global Burden of Disease
;
Risk Factors
;
Male
;
Female
;
Disability-Adjusted Life Years
;
Diabetic Nephropathies/epidemiology*
;
Middle Aged
;
Diabetes Mellitus, Type 2/epidemiology*
;
Adult
;
Diabetes Mellitus, Type 1/complications*
;
Aged
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Adolescent
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Young Adult
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Quality-Adjusted Life Years
4.Erratum: Author correction to "PRMT6 promotes tumorigenicity and cisplatin response of lung cancer through triggering 6PGD/ENO1 mediated cell metabolism" Acta Pharm Sin B 13 (2023) 157-173.
Mingming SUN ; Leilei LI ; Yujia NIU ; Yingzhi WANG ; Qi YAN ; Fei XIE ; Yaya QIAO ; Jiaqi SONG ; Huanran SUN ; Zhen LI ; Sizhen LAI ; Hongkai CHANG ; Han ZHANG ; Jiyan WANG ; Chenxin YANG ; Huifang ZHAO ; Junzhen TAN ; Yanping LI ; Shuangping LIU ; Bin LU ; Min LIU ; Guangyao KONG ; Yujun ZHAO ; Chunze ZHANG ; Shu-Hai LIN ; Cheng LUO ; Shuai ZHANG ; Changliang SHAN
Acta Pharmaceutica Sinica B 2025;15(4):2297-2299
[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].
6.Effect of intestinal flora on the individual efficacy of peglosenatide in the treatment of type 2 diabetes mellitus
Wenjiao DANG ; Yurou WANG ; Yan HE ; Jiaqi XIE ; Jianjin GUO
Chinese Journal of Diabetes 2024;32(6):458-462
Objective To investigate the effect of intestinal flora on the efficacy of polyethylene glycol losenatide(PEX168)in mice with type 2 diabetes mellitus(T2DM).Methods A total of 50 healthy male C57BL/6 mice were fed with a high-fat diet combined with STZ to establish a T2DM mouse model.Among them,40 were successfully modeled and divided into T2DM group(n=10)and PEX168 group(n=30).PEX168 group was further divided into two sub groups according to HbA1c:ideal group(IE subgroup,HbA1c≤6.5%,n=12)and unsatisfactory group(NE subgroup,HbA1c>6.5%,n=12).IE subgroup was fecal donor,NE subgroup was recipientand further divided into fecal bacteria transplantation subgroup(FMT,n=5)and Sham subgroup(Sham,n=5).Fecal bacteria transplantation(FMT)was used to transfer fecal bacteria from IE group to FMT group.Body weight,food intake and blood glucose were measured every 2 weeks in all the groups.FPG,FIns,HbA1c and insulin resistance index(HOMA-IR)were compared on the 7th day after 10 weeks of intervention in all the groups.Results FPG and body weight were lower at the 4th,6th,8th and 10th week(P<0.05),and food intake was lower in PEX168 group than in T2DM group at the 2nd,4th,6th,8th and 10th week(P<0.05).At the 4th,6th,8th and 10th week after administration,the FPG and body weight were lower in IE subgroup than in NE subgroup(P<0.05),and the food intake was lower at the 0th,4th,8th and 10th week after administration than in NE subgroup(P<0.05).The FBG,body weight and food intake were lower in FMT subgroup than in Sham subgroup at 4,6 and 8 weeks(P<0.05).The FPG,HbA1c,2 hPG,FIns and HOMA-IR were lowerin PEX168 group after treatment than in PEX168 group before treatment and T2DM group after treatment(P<0.05).FPG,HbA1c,FIns,2 hPG and HOMA-IR were lower in IE subgroup after treatment than in IE subgroup before treatment and NE subgroup after treatment(P<0.05).FPG,HbA1c,FIns,2 hPG and HOMA-IR were lower in FMT subgroup after treatment than in FMT subgroup before treatment and Sham subgroup after treatment(P<0.05).Conclusions Differences in intestinal flora between individuals affect the efficacy of PEX168.FMT treatment can improve the composition of intestinal flora and affect the efficacy of PEX168.
7.Spatial transcriptomic analysis deciphers adipocyte-to-fibroblast transformation in bleomycin-induced murine skin fibrosis
Yixiang ZHANG ; Jiahao HE ; Fangzhou XIE ; Shengzhou SHAN ; Jiaqi QIN ; Chuandong WANG ; Qingfeng LI ; Yun XIE ; Bin FANG
Chinese Medical Journal 2024;137(22):2745-2757
Background::Scleroderma is characterized by inflammation and fibrosis, predominantly occurring in the skin and extending to various parts of the body. The pathophysiology of scleroderma is multifaceted, with the current understanding including endothelial damage, inflammatory cell infiltration, and fibroblast activation in its progression. Nonetheless, the mechanism of cellular interactions and the precise spatial distribution of these cellular events within the fibrotic tissues remain elusive, highlighting a critical gap in our comprehensive understanding of scleroderma’s pathogenesis.Methods::In this study, we administered bleomycin intradermally to the dorsal skin of four individual murine models. Subsequently, skin tissues were harvested at predetermined intervals for comprehensive spatial transcriptomic analysis to determine the spatial dynamics influencing scleroderma pathogenesis. To validate the possible results from bioinformatic analysis, further in vitro and in vivo experiments were conducted. Results::Analysis of the spatial transcriptome revealed significant alterations in cell clusters during the progression of scleroderma. Gene Ontology analysis identified disruptions in lipid metabolism as the disease advanced. Pseudotime analysis provided evidence for a phenotypic transition from adipocytes to fibroblasts. In vitro studies demonstrated increased expression of Col1a1 and α-SMA as the disease progressed. These fibroblasts have been identified as key contributors to the increasing inflammation. Co-culturing TGF-β induced adipocytes with RAW264.7 cells resulted in overexpression of pro-inflammatory cytokines in the RAW264.7 cells. Both in vitro and in vivo experiments confirmed adipocyte loss and fibroblast formation, with transformed fibroblasts showing pronounced pro-inflammatory characteristics, highlighting their crucial role in the disease mechanism. Conclusions::Our study showed the spatial distribution and dynamic alterations of various cell types during scleroderma progression. Crucially, we identified the transformation of adipocytes into fibroblasts as a key factor promoting disease advancement. These emergent fibroblasts intensify inflammation, indicating that research on these cell clusters could reveal key scleroderma mechanisms and guide future therapies.
8.Cloning and Functional Characterization of a Flavonoids UDP-Glycosyltransferase Gene DsUGT11 from Desmodium Styracifolia
Fuyu LI ; Chunzhu XIE ; Ting ZHAN ; Jiaqi HE ; Hongliang MA ; Xiasheng ZHENG
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(6):1553-1562
Objective This study aimed to investigate the glycosyltransferase gene DsUGT11 involved in the biosynthesis of flavonoids in Desmodium styracifolia,and to analyze the function of its encoding protein by bioinformatic tools,gene cloning,prokaryotic expression,and other technologies.Methods The sequence characteristics and potential biological functions of DsUGT11 were analyzed and predicted by bioinformatics analysis,respectively.Total RNA was extracted from fresh leaves and reverse transcribed into cDNA,from which DsUGT11 gene was successfully amplified and cloned.Heterologous expressed protein was induced and purified,followed by functional characterization using enzymatic reaction in vitro.Results A candidate glycosyltransferase gene,designated as DsUGT11,was identified from the transcriptome data of D.styracifolia.The length of the open reading frame of DsUGT11 is 1426 bp,and the molecular weight of its encoding protein is expected to be 52.14 KDa.By bioinformatic analysis,DsUGT11 was found to harvest a conserved motif of"PSPG"that is unique to the UGT family.Moreover,DsUGT11 was successfully amplified and cloned using the prokaryotic expression vector pMALc5X.Recombinant protein was induced and purified subsequently.Next,the purified protein was used to perform the enzymatic reaction in vitro,the result of which suggested that DsUGT11 was able to catalyze the conversion of 2-OH-naringenin and UDP-glucose into three different compounds,one of which was authenticated as apigenin-7-O-β-D-glucoside(also known as Apigetrin),with two others unknown.Conclusion In this study,the DsUGT11 gene was identified and cloned,whose encoding protein is a flavone-oxyglycosyltransferase catalyzing the conversion of 2-OH-naringenin and UDP-glucose into three different compounds including Apigetrin.
9.Simultaneous Determination of 7 Components in Qingkailing Oral Liquid by HPLC-MS/MS
Jinyun WU ; Kaiwei CAI ; Hongying CHEN ; Jiaqi WANG ; Biyan PAN ; Zhiyong XIE ; Qiongfeng LIAO
Traditional Chinese Drug Research & Clinical Pharmacology 2024;35(2):257-262
Objective An HPLC-MS/MS method was established for the simultaneous determination of 7 components in Qingkailing Oral Liquid.Methods The assay was performed on a Waters ACQUITY UPLC BEH C18 column(2.1 mm×10 mm,1.7 μm)and the sample was eluted with a gradient mobile phase containing 10 mmol·L-1 of ammonium acetate and 0.1%of formic acid in water(A)-methanol(B).The mass spectrometry was carried out by electrospray ionization(ESI)with positive/negative ions in multiple reaction monitoring(MRM)mode for quantitative analysis.Results The linear ranges of adenine,chlorogenic acid,caffeic acid,geniposide,baicalin,hyodeoxycholic acid and cholic acid were 0.100 4-3.213,0.784 5-8.982,0.998-3.194,0.622 5-19.92,25.05-300.6,2.513-30.15 and 7.775-93.30 μg·mL-1(r≥0.999 0).The average recoveries(n=6)were 100.9%,98.74%,101.2%,100.2%,100.8%,99.97%and 98.94%with RSD of 1.58%,0.59%,1.78%,1.25%,0.65%,1.69%and 1.07%.The contents of the above mentioned 7 components in 15 tested samples were in the ranges of 0.12-0.18,0.19-0.24,0.06-0.09,0.34-0.37,4.54-4.85,0.49-0.67 and 1.82-2.19 mg·mL-1.The contents of 7 components in tested sample from different manufacturers were closed.Conclusion The method has shown good sensitivity,accuracy,and repeatability.The study can provide reference and data support for the quality control and subsequent research of Qingkailing Oral Liquid.
10.Role of NF-κB Signaling Pathway in "Reflux Esophagitis-esophageal Cancer" and Traditional Chinese Medicine Intervention:A Review
Mingyao XU ; Liqun LI ; Xin LIU ; Zhiwen SHEN ; Xiaoning ZHANG ; Jing HUANG ; Jiaqi YIN ; Zhu LIU ; Sheng XIE
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(2):221-233
Reflux esophagitis is an inflammatory disease of esophageal mucosa damage caused by the reflux of gastric contents into the esophagus. Its incidence is on the rise, and it has become an important precancerous disease of esophageal cancer. Studies have shown that the continuous inflammatory response stimulates the esophageal mucosa, causing abnormal proliferation of esophageal epithelial cells and damage to esophageal mucosal tissue, which eventually leads to the occurrence of heterogeneous hyperplasia and even carcinogenesis. The nuclear transcription factor-kappa B (NF-κB) signaling pathway is one of the most classical inflammatory and cancer signaling pathways. It has been found that abnormal activation of the NF-κB signaling pathway is crucial to the development and prognosis of reflux esophagitis and esophageal cancer. It is widely involved in the proliferation, autophagy, apoptosis, and inflammatory response of esophageal epithelial cells and tumor cells, accelerating the transformation of reflux esophagitis to esophageal cancer and making it a potential target for the treatment of reflux esophagitis and esophageal cancer. Currently, there is no specific treatment for reflux esophagitis and esophageal cancer, and large side effects often appear. Therefore, finding a promising and safe drug remains a top priority. In recent years, traditional Chinese medicine scholars have conducted a lot of research on NF-κB signaling pathway, and the results indicate that NF-κB signaling pathway is an important potential target for traditional Chinese medicine to prevent and treat reflux esophagitis and esophageal cancer, but there is a lack of comprehensive and systematic elaboration. Therefore, this paper summarized the relevant studies in recent years, analyzed the relationship among NF-κB signaling pathway, reflux esophagitis, esophageal cancer, and transformation from inflammation to cancer, and reviewed the research literature on the regulation of the NF-κB signaling pathway in traditional Chinese medicine to prevent and treat reflux esophagitis and esophageal cancer, so as to provide new ideas for the prevention and treatment of reflux esophagitis and esophageal cancer.

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