1.Progress on antisense oligonucleotide in the field of antibacterial therapy
Jia LI ; Xiao-lu HAN ; Shi-yu SONG ; Jin-tao LIN ; Zhi-qiang TANG ; Zeng-ming WANG ; Liang XU ; Ai-ping ZHENG
Acta Pharmaceutica Sinica 2025;60(2):337-347
With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.
2.Effect and mechanism of Xintong Granules in ameliorating myocardial ischemia-reperfusion injury in rats by regulating gut microbiota.
Yun-Jia WANG ; Ji-Dong ZHOU ; Qiu-Yu SU ; Jing-Chun YAO ; Rui-Qiang SU ; Guo-Fei QIN ; Gui-Min ZHANG ; Hong-Bao LIANG ; Shuai FENG ; Jia-Cheng ZHANG
China Journal of Chinese Materia Medica 2025;50(14):4003-4014
This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals
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Gastrointestinal Microbiome/drug effects*
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Rats
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Male
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Myocardial Reperfusion Injury/genetics*
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Drugs, Chinese Herbal/administration & dosage*
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Rats, Sprague-Dawley
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Apoptosis/drug effects*
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Humans
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Tumor Necrosis Factor-alpha/metabolism*
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Interleukin-6/genetics*
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Malondialdehyde/metabolism*
3.Clinical efficacy of separation surgery in treating spinal metastases accompanied by neurological symptoms.
Qiang WANG ; Min-Hao LU ; Xing-Wu WANG ; Ming FANG ; Wu-Liang YU ; Jian-Meng LU
China Journal of Orthopaedics and Traumatology 2025;38(2):157-163
OBJECTIVE:
To explore the safety and effectiveness of separation surgery in patients with neurological symptoms of spinal metastases.
METHODS:
From January 2020 to December 2022, 14 patients with neurological symptoms of spinal metastases underwent separation surgery, including 7 males and 7 females, aged from 30 to 76 years old with an average of (61.57±12.16) years old. In comparison with eleven patients underwent conservative treatment during the same period, including 6 males and 5 femals, aged from 46 to 88 years old with an average of (66.55±12.32) years old. The changes in visual analogue scale (VAS), Frankel grades, Karnofsky scores, and quality of life score (QOL) before and after treatment were compared between two groups.
RESULTS:
Fourteen patients in the separation surgery group underwent surgery successfully, with surgery time of (218.57±50.00) minutes and intraoperative blood loss of (864.29±332.97) ml, 2 patients developed delayed hematoma and recovered well finally after emergency surgery, the follow-up time was 3 to 36 months, after separation surgery, the pain was significantly relieved, and neurological function recovered well in the patients. Three months after treatment, the VAS in the separation surgery group (1.43±0.76) scores was significantly lower than that in the conservative treatment group (8.64±0.51) scores (P<0.05);and the Frankel grades, Karnofsky scores, and QOL scores in the separation surgery group were significantly better than those in the conservative treatment group(P<0.05).
CONCLUSION
For patients with obvious neurological symptoms of spinal metastases, separation surgery not only can rapidly relieve nerve compression but also carry relatively low surgical risks, and improve the quality of life of patients.
Humans
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Female
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Male
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Middle Aged
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Aged
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Spinal Neoplasms/complications*
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Adult
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Aged, 80 and over
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Quality of Life
4.Traumatic cervical tracheal trunk complete rupture combined with cardiac arrest: A case report.
Cheng YANG ; Da-Liang WANG ; Yang-Lin DU ; Qiang-Fei WANG ; Yuan SUO ; Hui-Jie YU
Chinese Journal of Traumatology 2025;28(5):378-381
Traumatic main bronchus rupture is a relatively rare injury in thoracic trauma, which is extremely critical, with a mortality rate as high as 70% - 80%. The complete rupture and displacement of the traumatic cervical trachea can lead to asphyxia, hypoxia, and cardiac arrest, even death of the patient in a short time. We performed emergency surgery with the support of extracorporeal membrane oxygenation for a case of traumatic cervical tracheal trunk complete rupture and displacement combined with cardiac arrest and achieved a successful rescue. We summarized our experience and found that timely surgical reconstruction of the airway is the key to increasing the traumatic main bronchus rupture survival of patients.
Humans
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Extracorporeal Membrane Oxygenation
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Heart Arrest/etiology*
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Rupture
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Trachea/surgery*
5.Effectiveness of Lianhua Qingwen Granule and Jingyin Gubiao Prescription in Omicron BA.2 Infection and Hospitalization: A Real-World Study of 56,244 Cases in Shanghai, China.
Yu-Jie ZHANG ; Guo-Jian LIU ; Han ZHANG ; Chen LIU ; Zhi-Qiang CHEN ; Ji-Shu XIAN ; Da-Li SONG ; Zhi LIU ; Xue YANG ; Ju WANG ; Zhe ZHANG ; Lu-Ying ZHANG ; Hua FENG ; Yan-Qi ZHANG ; Liang TAN
Chinese journal of integrative medicine 2025;31(1):11-18
OBJECTIVE:
To examine the effectiveness of Chinese medicine (CM) Lianhua Qingwen Granule (LHQW) and Jingyin Gubiao Prescription (JYGB) in asymptomatic or mild patients with Omicron infection in the shelter hospital.
METHODS:
This single-center retrospective cohort study was conducted in the largest shelter hospital in Shanghai, China, from April 10, 2022 to May 30, 2022. A total of 56,244 asymptomatic and mild Omicron cases were included and divided into 4 groups, i.e., non-administration group (23,702 cases), LHQW group (11,576 cases), JYGB group (12,112 cases), and dual combination of LHQW and JYGB group (8,854 cases). The length of stay (LOS) in the hospital was used to assess the effectiveness of LHQW and JYGB treatment on Omicron infection.
RESULTS:
Patients aged 41-60 years, with nadir threshold cycle (CT) value of N gene <25, or those fully vaccinated preferred to receive CM therapy. Before or after propensity score matching (PSM), the multiple linear regression showed that LHQW and JYGB treatment were independent influence factors of LOS (both P<0.001). After PSM, there were significant differences in LOS between the LHQW/JYGB combination and the other groups (P<0.01). The results of factorial design ANOVA proved that the LHQW/JYGB combination therapy synergistically shortened LOS (P=0.032).
CONCLUSIONS
Patients with a nadir CT value <25 were more likely to accept CM. The LHQW/JYGB combination therapy could shorten the LOS of Omicron-infected individuals in an isolated environment.
Humans
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Drugs, Chinese Herbal/therapeutic use*
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Male
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Female
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Middle Aged
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Adult
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China/epidemiology*
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Hospitalization
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COVID-19 Drug Treatment
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COVID-19/epidemiology*
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SARS-CoV-2
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Retrospective Studies
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Treatment Outcome
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Length of Stay
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Young Adult
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Aged
6.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
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Tooth Fractures/therapy*
7.Prioritization of potential drug targets for diabetic kidney disease using integrative omics data mining and causal inference.
Junyu ZHANG ; Jie PENG ; Chaolun YU ; Yu NING ; Wenhui LIN ; Mingxing NI ; Qiang XIE ; Chuan YANG ; Huiying LIANG ; Miao LIN
Journal of Pharmaceutical Analysis 2025;15(8):101265-101265
Diabetic kidney disease (DKD) with increasing global prevalence lacks effective therapeutic targets to halt or reverse its progression. Therapeutic targets supported by causal genetic evidence are more likely to succeed in randomized clinical trials. In this study, we integrated large-scale plasma proteomics, genetic-driven causal inference, and experimental validation to identify prioritized targets for DKD using the UK Biobank (UKB) and FinnGen cohorts. Among 2844 diabetic patients (528 with DKD), we identified 37 targets significantly associated with incident DKD, supported by both observational and causal evidence. Of these, 22% (8/37) of the potential targets are currently under investigation for DKD or other diseases. Our prospective study confirmed that higher levels of three prioritized targets-insulin-like growth factor binding protein 4 (IGFBP4), family with sequence similarity 3 member C (FAM3C), and prostaglandin D2 synthase (PTGDS)-were associated with a 4.35, 3.51, and 3.57-fold increased likelihood of developing DKD, respectively. In addition, population-level protein-altering variants (PAVs) analysis and in vitro experiments cross-validated FAM3C and IGFBP4 as potential new target candidates for DKD, through the classic NLR family pyrin domain containing 3 (NLRP3)-caspase-1-gasdermin D (GSDMD) apoptotic axis. Our results demonstrate that integrating omics data mining with causal inference may be a promising strategy for prioritizing therapeutic targets.
8.Construction and validation of a scoring model for pathogen characteristics and short-term prognosis risk prediction of candidemia
Jian-Xin MA ; Xiao-Qiang LIN ; Ming-Chi CAI ; Yu-Zhen XU ; Jun PENG ; Sheng-Qiang LIANG
Medical Journal of Chinese People's Liberation Army 2024;49(3):280-287
Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P<0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P<0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P<0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.
9.Protocol for the Traditional Chinese Medicine Diagnosis and Treatment Guidelines for Children with Upper Airway cough Syndrome
Lingyun ZHANG ; Xiyou WANG ; Daxin LIU ; Qiang HE ; Xuefeng WANG ; Xun LI ; Yutong FEI ; Yi XIAO ; Xiaoxue LAN ; Yuanwen LIANG ; Xiaoxuan LIN ; Rong ZHOU ; Sirui GU ; Ying ZHANG ; Yue WANG ; Xingzhu YE ; Wenke LIU ; Hong CHEN ; Changhe YU
International Journal of Traditional Chinese Medicine 2024;46(8):961-966
In order to standardize the clinical diagnosis and treatment of upper airway cough syndrome (UACS) for children in China, Dongzhimen Hospital of Beijing University of Chinese Medicine and Affiliated Hospital of Liaoning University of Traditional Chinese Medicine initiated the development of this Traditional Chinese Medicine Diagnosis and Treatment Guidelines for Children with Upper Airway cough Syndrome based on evidence-based medical evidence. This guideline will process registration, write a plan, and develop relevant processes and writing norms, develop and publish official documents. This plan mainly introduces the scope of the guidelines, the purpose and significance, the composition of the guidelines working group, the management of conflicts of interest, the collection, selection and determination of clinical problems, the retrieval, screening and rating of evidence, and the consensus of recommendations. Registration information: This study has been registered in the international practice guidelines registry platform with the registration code of PREPARE-2023CN087.
10.The Application of Lipid Nanoparticle-delivered mRNA in Disease Prevention and Treatment
Wei-Lun SUN ; Ti-Qiang ZHOU ; Hai-Yin YANG ; Lu-Wei LI ; Yu-Hua WENG ; Jin-Chao ZHANG ; Yuan-Yu HUANG ; Xing-Jie LIANG
Progress in Biochemistry and Biophysics 2024;51(10):2677-2693
In recent years, nucleic acid therapy, as a revolutionary therapeutic tool, has shown great potential in the treatment of genetic diseases, infectious diseases and cancer. Lipid nanoparticles (LNPs) are currently the most advanced mRNA delivery carriers, and their emergence is an important reason for the rapid approval and use of COVID-19 mRNA vaccines and the development of mRNA therapy. Currently, mRNA therapeutics using LNP as a carrier have been widely used in protein replacement therapy, vaccines and gene editing. Conventional LNP is composed of four components: ionizable lipids, phospholipids, cholesterol, and polyethylene glycol (PEG) lipids, which can effectively load mRNA to improve the stability of mRNA and promote the delivery of mRNA to the cytoplasm. However, in the face of the complexity and diversity of clinical diseases, the structure, properties and functions of existing LNPs are too homogeneous, and the lack of targeted delivery capability may result in the risk of off-targeting. LNPs are flexibly designed and structurally stable vectors, and the adjustment of the types or proportions of their components can give them additional functions without affecting the ability of LNPs to deliver mRNAs. For example, by replacing and optimizing the basic components of LNP, introducing a fifth component, and modifying its surface, LNP can be made to have more precise targeting ability to reduce the side effects caused by treatment, or be given additional functions to synergistically enhance the efficacy of mRNA therapy to respond to the clinical demand for nucleic acid therapy. It is also possible to further improve the efficiency of LNP delivery of mRNA through machine learning-assisted LNP iteration. This review can provide a reference method for the rational design of engineered lipid nanoparticles delivering mRNA to treat diseases.

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