The multimorbidity of rheumatoid arthritis （RA） and periodontitis （PD） has drawn increasing attention， as both conditions are characterized by chronic inflammation， immune dysregulation， and progressive bone destruction. Modern research confirms that PD is a significant risk factor for RA development， and their coexistence mutually exacerbates disease progression. However， traditional Chinese medicine （TCM） currently lacks a systematic theoretical explanation for this complex multimorbid relationship. This study， based on the TCM theory of abnormal collateral， thoroughly examines the intrinsic connection between RA and PD multimorbidity， proposing "abnormal collateral as the pivot， with accumulated toxins eroding bone" as the core TCM pathogenesis. The research elucidates PD as the "origin of abnormal collateral"， where its pathogens act as toxic factors that invade the joints through collaterals， triggering RA via mechanisms such as molecular mimicry. The dynamic pathological progression of RA-PD multimorbidity can be described as follows： the displacement of Ying and Wei at the microscopic level manifests as immune hyperactivation， leading to collateral malnutrition； heat-toxins traversing collaterals induce collateral hyperactivity， resulting in pathological angiogenesis； ultimately， toxin accumulation at the pivotal abnormal collateral site erodes bone， activating the receptor activator of nuclear factor kappa-B ligand （RANKL）-receptor activator of nuclear factor kappa-B （RANK） signaling pathway-driven osteoclast differentiation. This theoretical framework innovatively integrates modern findings in oral microbiology， immune-inflammation， and bone metabolism， offering a holistic and dynamic perspective to understand the complexity of multimorbidity. Given the limited efficacy of current periodontal treatments for RA and the scarcity of reported TCM compound interventions for multimorbidity， the abnormal collateral theory proposes a systematic intervention strategy centered on "governing diseases through collaterals and regulating collaterals with herbs"， along with TCM therapeutic principles such as "unblocking， clearing， and nourishing collaterals". Potential herbal treatments for multimorbidity are also highlighted. Future research should focus on refining TCM syndrome patterns in multimorbid patients and leveraging omics technologies for deeper exploration， thereby providing a theoretical foundation and research direction for TCM in addressing complex multimorbid conditions.

The multimorbidity of rheumatoid arthritis （RA） and periodontitis （PD） has drawn increasing attention， as both conditions are characterized by chronic inflammation， immune dysregulation， and progressive bone destruction. Modern research confirms that PD is a significant risk factor for RA development， and their coexistence mutually exacerbates disease progression. However， traditional Chinese medicine （TCM） currently lacks a systematic theoretical explanation for this complex multimorbid relationship. This study， based on the TCM theory of abnormal collateral， thoroughly examines the intrinsic connection between RA and PD multimorbidity， proposing "abnormal collateral as the pivot， with accumulated toxins eroding bone" as the core TCM pathogenesis. The research elucidates PD as the "origin of abnormal collateral"， where its pathogens act as toxic factors that invade the joints through collaterals， triggering RA via mechanisms such as molecular mimicry. The dynamic pathological progression of RA-PD multimorbidity can be described as follows： the displacement of Ying and Wei at the microscopic level manifests as immune hyperactivation， leading to collateral malnutrition； heat-toxins traversing collaterals induce collateral hyperactivity， resulting in pathological angiogenesis； ultimately， toxin accumulation at the pivotal abnormal collateral site erodes bone， activating the receptor activator of nuclear factor kappa-B ligand （RANKL）-receptor activator of nuclear factor kappa-B （RANK） signaling pathway-driven osteoclast differentiation. This theoretical framework innovatively integrates modern findings in oral microbiology， immune-inflammation， and bone metabolism， offering a holistic and dynamic perspective to understand the complexity of multimorbidity. Given the limited efficacy of current periodontal treatments for RA and the scarcity of reported TCM compound interventions for multimorbidity， the abnormal collateral theory proposes a systematic intervention strategy centered on "governing diseases through collaterals and regulating collaterals with herbs"， along with TCM therapeutic principles such as "unblocking， clearing， and nourishing collaterals". Potential herbal treatments for multimorbidity are also highlighted. Future research should focus on refining TCM syndrome patterns in multimorbid patients and leveraging omics technologies for deeper exploration， thereby providing a theoretical foundation and research direction for TCM in addressing complex multimorbid conditions.

ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14^th week of 2010 to the 13^th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.

The paper reports one case of osteitis condensans ilii treated with acupuncture in the young and middle-aged female patient. Based on the "analogy" thinking, bilateral Chengshan (BL57) and Ximen (PC4) were selected. The short needling was delivered at Chengshan (BL57), in which, the needle tip went directly to the bone surface and the needle was lifted and thrusted to induce the tolerable sensation. At Ximen (PC4), the needle was inserted, with the depth of 20 mm to 30 mm, and manipulated with the even needling technique. The needles were retained for 30 min. The treatment was given once every two days, 3 treatments a week. After treated for 3 weeks, the pain and discomforts in the lumbal and gluteal regions disappeared basically and no recurrence was found in 1-month follow-up visit.
Humans ; Female ; Acupuncture Therapy/instrumentation* ; Osteitis/therapy* ; Adult ; Middle Aged ; Acupuncture Points

OBJECTIVE: To construct and validate a predictive model for the therapeutic effect of acupuncture at Tongdu Yangxin prescription (acupoint prescription for promoting the circulation of the governor vessel and nourishing the heart) on insomnia, so as to develop an open-access interactive artificial intelligence (AI)-assisted decision-making platform. METHODS: Clinical data of 139 insomnia patients treated with Tongdu Yangxin acupuncture therapy were included. All the patients had received acupuncture at Baihui (GV20), Yintang (GV24⁺), bilateral Shenmen (HT7), and bilateral Sanyinjiao (SP6); and electric stimulation was attached to Baihui (GV20) and Yintang (GV24⁺), using a continuous wave and a frequency of 2 Hz. The treatment was delivered once every other day, 3 treatments a week, and for 2 consecutive weeks. Patients with Pittsburgh sleep quality index (PSQI) score reduction rate <50% were classified as the "no response group", and those with ≥50% were as the "response group". Outliers were addressed using the 1.5×IQR rule, and missing values were imputed via predictive mean matching. Key features were selected by intersecting the feature importance results from eXtreme Gradient Boosting (XGBoost) and random forest algorithms. After balancing class distribution using the Synthetic Minority Over-sampling Technique (SMOTE), 20% of the data was reserved as a validation set. The remained data underwent the stratified sampling iterations to generate 200 pairs of 3∶1 training-test sets, which was employed for training and internal validation of 8 machine learning algorithms. The optimal algorithm and data partitioning strategy were selected to construct the final model, followed by external validation. The best-performing model was deployed online via Streamlit to create an interactive AI platform. RESULTS: Key predictive features for model construction included insomnia duration, the total PSQI score, PSQI sleep efficiency subscore, the proportion of N1 and N2 sleep stages in total sleep duration, and the maximum pulse rate during sleep. The CatBoost-based model achieved an AUC of 0.92, the average precision of 0.77, and accuracy, average recall, and average F1-score of 0.75 on the test set. On the validation set, it attained an AUC of 0.84, with accuracy, average precision, average recall, and average F1-score all at 0.72, demonstrating robust predictive performance. An interactive AI platform was subsequently developed (https://tdyx-catboost.streamlit.app/). CONCLUSION This study successfully establishes and validates a CatBoost-based efficacy prediction model for Tongdu Yangxin acupuncture therapy in treatment of insomnia. The developed AI platform provides data-driven decision support for acupuncture-based insomnia management.
Humans ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Acupuncture Therapy ; Male ; Acupuncture Points ; Female ; Middle Aged ; Adult ; Artificial Intelligence ; Aged ; Young Adult

BACKGROUND: Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic inflammation and joint destruction. Iguratimod (IGU) is a novel conventional synthetic disease-modifying antirheumatic drugs (csDMARD) with good efficacy and safety for the treatment of active RA in China and Japan. However, the long-term effects of IGU on the progression of bone destruction or radiographic progression in patients with active RA remain unknown. We aimed to investigate the efficacy and safety of iguratimod (IGU), a combination of methotrexate (MTX) and IGU, and IGU in patients with active rheumatoid arthritis (RA) who were naïve to MTX. METHODS: This multicenter, double-blind, randomized, non-inferiority clinical trial was conducted at 28 centers for over 52 weeks in China. In total, 911 patients were randomized (1:1:1) to receive MTX monotherapy (10-15 mg weekly, n = 293), IGU monotherapy (25 mg twice daily, n = 297), or IGU + MTX (10-15 mg weekly for MTX and 25 mg twice daily for IGU, n = 305) for 52 weeks. The patients' clinical characteristics, Simplified Disease Activity Index (SDAI), Clinical Disease Activity Index (CDAI), disease activity score in 28 joints-C-reactive protein (DAS28-CRP) level, and disease activity score in 28 joints-erythrocyte sedimentation rate (DAS28-ESR) were assessed at baseline. The primary endpoints were the proportion of patients with ≥20% improvement according to the American College of Rheumatology (ACR20) response and changes in the van der Heijde-modified total Sharp score (vdH-mTSS) at week 52. RESULTS: The proportions of patients achieving an ACR20 response at week 52 were 77.44%, 77.05 %, and 65.87% for IGU monotherapy, IGU + MTX, and MTX monotherapy, respectively. The non-inferiority of IGU monotherapy to MTX monotherapy was established with the ACR20 (11.57%; 95% confidence interval [CI], 4.35-18.79%; P <0.001) and vdH-mTSS (-0.37; 95% CI, -1.22-0.47; P = 0.022). IGU monotherapy was also superior to MTX monotherapy in terms of ACR20 ( P = 0.002) but not the vdH-mTSS. The superiority of IGU + MTX over MTX monotherapy was confirmed in terms of the ACR20 (11.18%; 95% CI, 3.99-18.37%; P = 0.003), but not in the vdH-mTSS (-0.68; 95% CI, -1.46-0.11; P = 0.091). However, the difference in the incidence rates of adverse events was not statistically significant. CONCLUSIONS: IGU monotherapy/IGU + MTX showed a more favorable clinical response than did MTX monotherapy. IGU may have some clinical benefits over MTX in terms of radiographic progression, implying that IGU may be considered as an initial therapeutic option for patients with active RA. TRIAL REGISTRATION https://classic.clinicaltrials.gov/ , NCT01548001.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Antirheumatic Agents/therapeutic use* ; Arthritis, Rheumatoid/drug therapy* ; Chromones/adverse effects* ; Double-Blind Method ; Drug Therapy, Combination ; Methotrexate/adverse effects* ; Treatment Outcome ; Sulfonamides

As a common neurological disease in China, stroke has an extremely high rate of death and disability, of which 80% is ischemic stroke (IS), causing a serious burden to individuals and society. Neuronal death is an important factor in the pathogenesis of stroke. Studies have shown that mitochondrial dynamics, as a key mechanism regulating intracellular energy metabolism and cell death, plays an important role in the pathogenesis of IS. In recent years, targeting mitochondrial dynamics has become an emerging therapeutic tool to improve neurological impairment after stroke. This paper reviews the research advance in recent years in IS mitochondrial dynamics, summarizing and discussing the overview of mitochondrial dynamics, the role of mitochondrial dynamics in IS, and the studies on mitochondrial dynamics-based treatment of IS. This paper helps to explore the mechanism of the role of mitochondrial dynamics in IS and effective interventions, and provides a theoretical strategy for targeting mitochondrial dynamics to treat IS in the clinic.
Humans ; Mitochondrial Dynamics/physiology* ; Ischemic Stroke/metabolism* ; Mitochondria/physiology* ; Animals ; Brain Ischemia/physiopathology* ; Energy Metabolism

Under the background of carbon peaking and carbon neutrality goals, the Ministry of Ecology and Environment, together with 15 national ministries and commissions, has formulated the Implementation Plan on Establishing a Carbon Footprint Management System, and it is urgent for traditional Chinese medicine(TCM) pharmaceutical enterprises to carry out research on carbon footprint accounting methods of related products. Based on the life cycle assessment(LCA) theory, taking mulberry leaf extract produced by a certain enterprise as an example, this study analyzed the carbon footprint of TCM extracts during the life cycle. The results show that for every 1 kg of product produced, the carbon emissions from the stages of raw material acquisition, transportation, and extract production are-20.569, 1.205, and 173.577 kgCO_2eq(CO_2 equivalent), respectively. The carbon footprint of the product is 154.213 kgCO_2eq·kg~(-1). In addition, the carbon emission is the highest in the production stage, in which the consumption of ethanol solvents makes the greatest contribution to the carbon footprint, accounting for 25.71%, more than one-fourth of the total carbon footprint. The second contribution was from the treatment process of TCM residues, accounting for 19.67%, closely followed by wastewater treatment(17.71%), the consumption of hot steam(17.43%), and drinking water(16.90%). The consumption of electric power and packaging materials has a smaller carbon emission of 2.58%. In particular, the carbon emission caused by the consumption of packaging materials is only 0.04%, which is negligible. The results of the study are expected to provide a reference for TCM enterprises to carry out research on the carbon footprint of products, offer ideas for collaborative innovation in reducing pollution and carbon emissions throughout the entire industry chain of TCM, and develop new quality productivity of modern TCM industry based on green and low-carbon manufacturing.
Morus/chemistry* ; Plant Leaves/chemistry* ; Carbon Footprint ; Drugs, Chinese Herbal/chemistry* ; Plant Extracts/analysis* ; Medicine, Chinese Traditional

At present, the cause of traditional Chinese medicine(TCM) in China has entered a new period of high-quality development. How to strengthen the foundation for the TCM industry from the source is an important issue that deserves the attention of the authorities, industry, and academia. This study systematically analyzed the regulatory system of TCM raw materials and preparations. The study took the TCM industry chain and the product life cycle as a clue and focused on the dimensions of TCM resource protection and plant cultivation(farming), production and quality supervision of TCM raw materials and preparations, and their market access and distribution. It analyzed the current situation of the regulation of TCM raw materials and preparations under the regulatory system of drugs, discussed the main problems, and put forward corresponding suggestions. The results can provide an important reference value for the subsequent improvement of the regulatory system of drugs and the construction of a prominent regulatory system of drugs in accordance with TCM characteristics.
Drugs, Chinese Herbal/economics* ; Medicine, Chinese Traditional/standards* ; China ; Quality Control ; Humans ; Plants, Medicinal/chemistry*