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  1. 17441
    por Ling, Bing, Zhao, Li, Yi, Jixiu
    Publicado 2020
    “…The prevalence of MS was 7.4% in men, 22.2% in women, 15.7% in Han, 18.1% in Tujia, and 14.8% in Miao. According to age, the prevalence of MS was 10.6%, 17.0%, and 18.3% in the 30–50, 50–69, and ≥ 70 years groups. …”
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    Cross-sectional study of the prevalence and risk factors of metabolic syndrome in a rural population of the Qianjiang area
  2. 17442
    “…Anti-HEV IgG prevalence is significantly (P = 0.0001) higher in Dong (17.57%), Miao (12.23%), Yi (11.04%), Gelao (9.76%), and Bai (10.00%) compared to other ethnic groups. …”
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    HEV prevalence and potential risk factors in a large multi-ethnic youth cohort in China
  3. 17443
    “…There were high-risk minorities, gender, age, occupation, type of diagnosis, Therapeutic category existed in adverse outcomes of TB. Miao and Dong had a higher risk in adverse reaction of TB compared with Han. …”
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    Spatial distribution and risk factors of adverse treatment outcomes of tuberculosis in Guizhou, China, 2013–2018
  4. 17444
    “…METHODS: A household survey on epilepsy was conducted among the rural population of Chengmai County, Danzhou City, Baoting Autonomous County (Li and Miao nationalities), and Dingan County in Hainan Province, China. …”
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    An epidemiological survey of epilepsy in tropical rural areas of China
  5. 17445
    por Chen, Yulong, Lai, Zhizhu
    Publicado 2022
    “…RESULTS: We tested the models and algorithm on the Miao Autonomous County of Songtao, Guizhou Province, China. …”
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    A Multi-Objective Optimization Approach for Emergency Medical Service Facilities Location-Allocation in Rural Areas
  6. 17446
    “…BACKGROUND: Radix Ardisia (Jab Bik Lik Jib) is a common Miao medicine and is widely distributed in the Guizhou region of southern China. …”
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    Integrated transcriptome and metabolome analyses revealed regulatory mechanisms of flavonoid biosynthesis in Radix Ardisia
  7. 17447
    por Chen, Renming, Huang, Qin, Chen, Lihua
    Publicado 2022
    “…METHODS: 487 patients diagnosed with RA and osteoporosis at the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture were randomly divided into a training cohort (used for building the model) and a validation cohort (used for validating the model). …”
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    Development and Validation of Machine Learning Models for Prediction of Fracture Risk in Patients with Elderly-Onset Rheumatoid Arthritis
  8. 17448
    por Kocarnik, Jonathan M., Compton, Kelly, Dean, Frances E., Fu, Weijia, Gaw, Brian L., Harvey, James D., Henrikson, Hannah Jacqueline, Lu, Dan, Pennini, Alyssa, Xu, Rixing, Ababneh, Emad, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Elsalam, Sherief M., Abdoli, Amir, Abedi, Aidin, Abidi, Hassan, Abolhassani, Hassan, Adedeji, Isaac Akinkunmi, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M., Afzal, Muhammad Sohail, Aghaali, Mohammad, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed Rashid, Tarik, Ahmed Salih, Yusra, Akalu, Gizachew Taddesse, Aklilu, Addis, Akram, Tayyaba, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Al-Aly, Ziyad, Ali, Saqib, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Almasi-Hashiani, Amir, Almasri, Nihad A., Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alvis-Guzman, Nelson, Amu, Hubert, Anbesu, Etsay Woldu, Ancuceanu, Robert, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Antwi, Maxwell Hubert, Anvari, Davood, Anyasodor, Anayochukwu Edward, Aqeel, Muhammad, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Asemi, Zatollah, Asghari Jafarabadi, Mohammad, Ashraf, Tahira, Atorkey, Prince, Aujayeb, Avinash, Ausloos, Marcel, Awedew, Atalel Fentahun, Ayala Quintanilla, Beatriz Paulina, Ayenew, Temesgen, Azab, Mohammed A., Azadnajafabad, Sina, Azari Jafari, Amirhossein, Azarian, Ghasem, Azzam, Ahmed Y., Badiye, Ashish D., Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L., Balakrishnan, Senthilkumar, Banach, Maciej, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Behzadifar, Masoud, Belgaumi, Uzma Iqbal, Bezabhe, Woldesellassie M. Mequanint, Bezabih, Yihienew Mequanint, Bhagat, Devidas S., Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S., Bibi, Sadia, Bijani, Ali, Biondi, Antonio, Bisignano, Catherine, Bjørge, Tone, Bleyer, Archie, Blyuss, Oleg, Bolarinwa, Obasanjo Afolabi, Bolla, Srinivasa Rao, Braithwaite, Dejana, Brar, Amanpreet, Brenner, Hermann, Bustamante-Teixeira, Maria Teresa, Butt, Nadeem Shafique, Butt, Zahid A., Caetano dos Santos, Florentino Luciano, Cao, Yin, Carreras, Giulia, Catalá-López, Ferrán, Cembranel, Francieli, Cerin, Ester, Cernigliaro, Achille, Chakinala, Raja Chandra, Chattu, Soosanna Kumary, Chattu, Vijay Kumar, Chaturvedi, Pankaj, Chimed-Ochir, Odgerel, Cho, Daniel Youngwhan, Christopher, Devasahayam J., Chu, Dinh-Toi, Chung, Michael T., Conde, Joao, Cortés, Sanda, Cortesi, Paolo Angelo, Costa, Vera Marisa, Cunha, Amanda Ramos, Dadras, Omid, Dagnew, Amare Belachew, Dahlawi, Saad M. A., Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Darwesh, Aso Mohammad, das Neves, José, De la Hoz, Fernando Pio, Demis, Asmamaw Bizuneh, Denova-Gutiérrez, Edgar, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dianatinasab, Mostafa, Diaz, Daniel, Djalalinia, Shirin, Do, Huyen Phuc, Doaei, Saeid, Dorostkar, Fariba, dos Santos Figueiredo, Francisco Winter, Driscoll, Tim Robert, Ebrahimi, Hedyeh, Eftekharzadeh, Sahar, El Tantawi, Maha, El-Abid, Hassan, Elbarazi, Iffat, Elhabashy, Hala Rashad, Elhadi, Muhammed, El-Jaafary, Shaimaa I., Eshrati, Babak, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Etemadi, Arash, Ezzikouri, Sayeh, Faisaluddin, Mohammed, Faraon, Emerito Jose A., Fares, Jawad, Farzadfar, Farshad, Feroze, Abdullah Hamid, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Fisher, James L., Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gad, Mohamed M., Gadanya, Muktar A., Gallus, Silvano, Gaspar Fonseca, Mariana, Getachew Obsa, Abera, Ghafourifard, Mansour, Ghashghaee, Ahmad, Ghith, Nermin, Gholamalizadeh, Maryam, Gilani, Syed Amir, Ginindza, Themba G., Gizaw, Abraham Tamirat T., Glasbey, James C., Golechha, Mahaveer, Goleij, Pouya, Gomez, Ricardo Santiago, Gopalani, Sameer Vali, Gorini, Giuseppe, Goudarzi, Houman, Grosso, Giuseppe, Gubari, Mohammed Ibrahim Mohialdeen, Guerra, Maximiliano Ribeiro, Guha, Avirup, Gunasekera, D. Sanjeeva, Gupta, Bhawna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Hafezi-Nejad, Nima, Haider, Mohammad Rifat, Haj-Mirzaian, Arvin, Halwani, Rabih, Hamadeh, Randah R., Hameed, Sajid, Hamidi, Samer, Hanif, Asif, Haque, Shafiul, Harlianto, Netanja I., Haro, Josep Maria, Hasaballah, Ahmed I., Hassanipour, Soheil, Hay, Roderick J., Hay, Simon I., Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hezam, Kamal, Holla, Ramesh, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hsairi, Mohamed, Huang, Junjie, Hugo, Fernando N., Hussain, Rabia, Hussein, Nawfal R., Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ida, Fidelia, Ikuta, Kevin S., Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Irham, Lalu Muhammad, Islam, Jessica Y., Islam, Rakibul M., Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Jacob, Louis, Jain, Vardhmaan, Jakovljevic, Mihajlo B., Javaheri, Tahereh, Jayaram, Shubha, Jazayeri, Seyed Behzad, Jha, Ravi Prakash, Jonas, Jost B., Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jürisson, Mikk, Kabir, Ali, Kahrizi, Danial, Kalankesh, Leila R., Kalhor, Rohollah, Kaliyadan, Feroze, Kalkonde, Yogeshwar, Kamath, Ashwin, Kameran Al-Salihi, Nawzad, Kandel, Himal, Kapoor, Neeti, Karch, André, Kasa, Ayele Semachew, Katikireddi, Srinivasa Vittal, Kauppila, Joonas H., Kavetskyy, Taras, Kebede, Sewnet Adem, Keshavarz, Pedram, Keykhaei, Mohammad, Khader, Yousef Saleh, Khalilov, Rovshan, Khan, Gulfaraz, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien A. B., Khang, Young-Ho, Khater, Amir M., Khayamzadeh, Maryam, Kim, Gyu Ri, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kissimova-Skarbek, Katarzyna, Kopec, Jacek A., Koteeswaran, Rajasekaran, Koul, Parvaiz A., Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Kucuk Bicer, Burcu, Kugbey, Nuworza, Kumar, G. Anil, Kumar, Narinder, Kumar, Nithin, Kurmi, Om P., Kutluk, Tezer, La Vecchia, Carlo, Lami, Faris Hasan, Landires, Iván, Lauriola, Paolo, Lee, Sang-woong, Lee, Shaun Wen Huey, Lee, Wei-Chen, Lee, Yo Han, Leigh, James, Leong, Elvynna, Li, Jiarui, Li, Ming-Chieh, Liu, Xuefeng, Loureiro, Joana A., Lunevicius, Raimundas, Magdy Abd El Razek, Muhammed, Majeed, Azeem, Makki, Alaa, Male, Shilpa, Malik, Ahmad Azam, Mansournia, Mohammad Ali, Martini, Santi, Masoumi, Seyedeh Zahra, Mathur, Prashant, McKee, Martin, Mehrotra, Ravi, Mendoza, Walter, Menezes, Ritesh G., Mengesha, Endalkachew Worku, Mesregah, Mohamed Kamal, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Miazgowski, Tomasz, Michalek, Irmina Maria, Miller, Ted R., Mirzaei, Hamed, Mirzaei, Hamid Reza, Misra, Sanjeev, Mithra, Prasanna, Moghadaszadeh, Masoud, Mohammad, Karzan Abdulmuhsin, Mohammad, Yousef, Mohammadi, Mokhtar, Mohammadi, Seyyede Momeneh, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Moka, Nagabhishek, Mokdad, Ali H., Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moosavi, Mohammad Amin, Moradi, Yousef, Moraga, Paula, Morgado-da-Costa, Joana, Morrison, Shane Douglas, Mosapour, Abbas, Mubarik, Sumaira, Mwanri, Lillian, Nagarajan, Ahamarshan Jayaraman, Nagaraju, Shankar Prasad, Nagata, Chie, Naimzada, Mukhammad David, Nangia, Vinay, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Ndejjo, Rawlance, Nduaguba, Sabina O., Negoi, Ionut, Negru, Serban Mircea, Neupane Kandel, Sandhya, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Niazi, Robina Khan, Nnaji, Chukwudi A., Noor, Nurulamin M., Nuñez-Samudio, Virginia, Nzoputam, Chimezie Igwegbe, Oancea, Bogdan, Ochir, Chimedsuren, Odukoya, Oluwakemi Ololade, Ogbo, Felix Akpojene, Olagunju, Andrew T., Olakunde, Babayemi Oluwaseun, Omar, Emad, Omar Bali, Ahmed, Omonisi, Abidemi E. Emmanuel, Ong, Sokking, Onwujekwe, Obinna E., Orru, Hans, Ortega-Altamirano, Doris V., Otstavnov, Nikita, Otstavnov, Stanislav S., Owolabi, Mayowa O., P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Pana, Adrian, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pardhan, Shahina, Park, Eun-Cheol, Park, Eun-Kee, Pashazadeh Kan, Fatemeh, Patel, Harsh K., Patel, Jenil R., Pati, Siddhartha, Pattanshetty, Sanjay M., Paudel, Uttam, Pereira, David M., Pereira, Renato B., Perianayagam, Arokiasamy, Pillay, Julian David, Pirouzpanah, Saeed, Pishgar, Farhad, Podder, Indrashis, Postma, Maarten J., Pourjafar, Hadi, Prashant, Akila, Preotescu, Liliana, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Rafiee, Ata, Rahim, Fakher, Rahimzadeh, Shadi, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rajai, Nazanin, Rajesh, Aashish, Rakovac, Ivo, Ram, Pradhum, Ramezanzadeh, Kiana, Ranabhat, Kamal, Ranasinghe, Priyanga, Rao, Chythra R., Rao, Sowmya J., Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Renzaho, Andre M. N., Rezaei, Negar, Rezaei, Nima, Rezapour, Aziz, Roberts, Thomas J., Rodriguez, Jefferson Antonio Buendia, Rohloff, Peter, Romoli, Michele, Ronfani, Luca, Roshandel, Gholamreza, Rwegerera, Godfrey M., S, Manjula, Sabour, Siamak, Saddik, Basema, Saeed, Umar, Sahebkar, Amirhossein, Sahoo, Harihar, Salehi, Sana, Salem, Marwa Rashad, Salimzadeh, Hamideh, Samaei, Mehrnoosh, Samy, Abdallah M., Sanabria, Juan, Sankararaman, Senthilkumar, Santric-Milicevic, Milena M., Sardiwalla, Yaeesh, Sarveazad, Arash, Sathian, Brijesh, Sawhney, Monika, Saylan, Mete, Schneider, Ione Jayce Ceola, Sekerija, Mario, Seylani, Allen, Shafaat, Omid, Shaghaghi, Zahra, Shaikh, Masood Ali, Shamsoddin, Erfan, Shannawaz, Mohammed, Sharma, Rajesh, Sheikh, Aziz, Sheikhbahaei, Sara, Shetty, Adithi, Shetty, Jeevan K., Shetty, Pavanchand H., Shibuya, Kenji, Shirkoohi, Reza, Shivakumar, K. M., Shivarov, Velizar, Siabani, Soraya, Siddappa Malleshappa, Sudeep K., Silva, Diego Augusto Santos, Singh, Jasvinder A., Sintayehu, Yitagesu, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soeberg, Matthew J., Sofi-Mahmudi, Ahmad, Sotoudeh, Houman, Steiropoulos, Paschalis, Straif, Kurt, Subedi, Ranjeeta, Sufiyan, Mu'awiyyah Babale, Sultan, Iyad, Sultana, Saima, Sur, Daniel, Szerencsés, Viktória, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadbiri, Hooman, Taherkhani, Amir, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Vivian Y., Tedla, Bemnet Amare A., Tefera, Yonas Getaye, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Tesfay, Fisaha Haile, Tessema, Gizachew Assefa, Thapar, Rekha, Thavamani, Aravind, Thoguluva Chandrasekar, Viveksandeep, Thomas, Nihal, Tohidinik, Hamid Reza, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Bach Xuan, Tran, Khanh Bao, Tran, Mai Thi Ngoc, Tripathy, Jaya Prasad, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Saif, Umapathi, Krishna Kishore, Unnikrishnan, Bhaskaran, Upadhyay, Era, Vacante, Marco, Vaezi, Maryam, Valadan Tahbaz, Sahel, Velazquez, Diana Zuleika, Veroux, Massimiliano, Violante, Francesco S., Vlassov, Vasily, Vo, Bay, Volovici, Victor, Vu, Giang Thu, Waheed, Yasir, Wamai, Richard G., Ward, Paul, Wen, Yi Feng, Westerman, Ronny, Winkler, Andrea Sylvia, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yaya, Sanni, Yazie, Taklo Simeneh Yazie, Yeshaw, Yigizie, Yonemoto, Naohiro, Younis, Mustafa Z., Yousefi, Zabihollah, Yu, Chuanhua, Yuce, Deniz, Yunusa, Ismaeel, Zadnik, Vesna, Zare, Fariba, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Jianrong, Zhong, Chenwen, Zhou, Linghui, Zhu, Cong, Ziapour, Arash, Zimmermann, Ivan R., Fitzmaurice, Christina, Murray, Christopher J. L., Force, Lisa M.
    Publicado 2021
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    Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019
  9. 17449
    “…The Tujia population in the Wufeng of Hubei Province had the closest genetic relationship with the central Han population, and then to the Shui, the Miao, the southern Han and the northern Han ethnic groups. …”
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    Distribution of HLA-A, -B and -DRB1 Genes and Haplotypes in the Tujia Population Living in the Wufeng Region of Hubei Province, China
  10. 17450
    “…The Zhuang group had the greatest proportion of O phenotypes (41.8%), followed by the Miao group (37.7%). AB phenotypes were more frequent in the Uygur ethnic group (10.6%) but lower in the Zhuang group (5.5%). …”
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    Frequencies and ethnic distribution of ABO and RhD blood groups in China: a population-based cross-sectional study
  11. 17451
    “…In multivariate logistic regression analysis, the results show that mother and father of Miao ethnicity (OR = 1.23 and 1.31), diarrhea in the previous 2 weeks (OR = 1.35), breastfeeding in the prior 24 h (OR = 1.50), and caregivers able to identify the optimum timing of complementary feeding (OR = 1.15) had positive correlations with anemia. …”
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    Prevalence and risk factors of anemia among children aged 6–23 months in Huaihua, Hunan Province
  12. 17452
    por Xiong, Yong, Long, Chunlin
    Publicado 2020
    “…BACKGROUND: The Buyi (Bouyei) people in Qianxinan Buyi and Miao Autonomous Prefecture, Southwest Guizhou, China, have used medicinal plants and traditional remedies for ethnoveterinary practices, such as treating domestic animals during livestock breeding, since ancient times. …”
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    An ethnoveterinary study on medicinal plants used by the Buyi people in Southwest Guizhou, China
  13. 17453
    “…BACKGROUND: Q-1 is a novel compound extracted from the Miao medicine Tiekuaizi. Although Q-1 is known to be a coumarin derivative, its structure has not been deposited in the ACX library. …”
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    Novel Compound Q-1 Alleviates Type II Collagen-Induced Arthritis in Rats through the NF-κB Pathway
  14. 17454
    “…Inula cappa is a commonly used medicine in the Miao area of Guizhou Province in China. We established an in vitro inflammatory model of mouse macrophage RAW264.7 cells to study the different pharmacokinetics of five anti-inflammatory active ingredients in the I. cappa extract namely luteolin (LUT), chlorogenic acid (CA), cryptochlorogenic acid (CCA), 3,4-dicaffeoylquinic acid (3,4-DCQA) and 4,5-dicaffeoylquinic acid (4,5-DCQA), in a normal and an inflammatory cell model. …”
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    Comparative pharmacokinetic study of the five anti-inflammatory active ingredients of Inula cappa in a normal and an LPS-induced inflammatory cell model
  15. 17455
    “…For studying the genetic dissection of heterosis for grain shape/weight and their relationship with grain yield in rice, quantitative trait locus (QTL) mapping was performed on 1,061 recombinant inbred lines (RILs), which was developed by crossing xian/indica rice Quan9311B (Q9311B) and Wu-shan-si-miao (WSSM). Whereas, BC(1)F(1) (a backcross F(1)) was developed by crossing RILs with Quan9311A (Q9311A) combined with phenotyping in Hefei (HF) and Nanning (NN) environments. …”
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    Genetic dissection of grain traits and their corresponding heterosis in an elite hybrid
  16. 17456
    “…HJ11 is a novel traditional Chinese medicine developed from the appropriate addition and reduction of Si-Miao-Yong-An decoction, which has been commonly used to treat ischemia-reperfusion (I/R) injury in the clinical setting. …”
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    HJ11 decoction restrains development of myocardial ischemia-reperfusion injury in rats by suppressing ACSL4-mediated ferroptosis
  17. 17457
    “…. (♂♀), Pseudonesticus dafangensis sp. n. (♂♀), Pseudonesticus miao sp. n. (♂♀), Pseudonesticus spinosus sp. n. (♂♀), Pseudonesticus wumengensis sp. n. (♀), Pseudonesticus ziyunensis sp. n. (♂♀). …”
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    A survey of the spider family Nesticidae (Arachnida, Araneae) in Asia and Madagascar, with the description of forty-three new species
  18. 17458
    “…PARTICIPANTS: 2105 participants in Shanghai (Han) and 772 participants in Yunnan Honghe Prefecture (Han, Yi, Miao and Hani), aged 18–75 were enrolled. METHODS: Participants underwent several checkups, including urinary iodine concentration, blood lead (BPb) and blood cadmium (BCd), thyroid peroxidase antibody (TPOAb), thyroglobulin antibody (TgAb), thyroid stimulating hormone (TSH) as well as thyroid ultrasonography (US). …”
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    Are ethnic differences, urinary iodine status, lead and cadmium exposure associated with thyroid autoimmunity and hypothyroid status? A cross-sectional study
  19. 17459
    “…(RWI) is a toxic medicinal species primarily present in the Miao area of China. The toxicity of RWI is effectively reduced whilst maintaining the therapeutic effect when processed using the ‘sweat-soaking method’, which is a common method of Traditional Chinese Medicine preparation. …”
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    (1)H-NMR-based metabolic profiling of rat urine to assess the toxicity-attenuating effect of the sweat-soaking method on Radix Wikstroemia indica
  20. 17460
    “…As an important traditional medicine of Buyi and Miao ethnic groups in Guizhou, Sabia parviflora Wall. provides antiviral properties against hepatitis, eliminates wind and dampness, and exhibits anti-inflammatory and pain relief properties. …”
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    Antirheumatoid Arthritic Effects of Sabia parviflora Wall. Leaf Extracts via the NF-κB Pathway and Transient Receptor Potential Protein Family
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