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KH

KH-741 (KH 741 / KH741)

✓ Approved

Chengdu Kanghong Pharmaceutical · Small Molecule · Small Molecule

What is KH-741?

KH-741 is a small molecule developed by Chengdu Kanghong Pharmaceutical. It is approved for therapeutic indications via unknown.

Drug Profile

Brand NamesKH 741, KH741
CompanyChengdu Kanghong Pharmaceutical
Drug ClassSmall Molecule
RouteUnknown
StatusApproved
Sources: ClinicalTrials.gov, Chengdu Kanghong Pharmaceutical

Therapeutic Indications

KH-741 is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Psychiatric disordersBipolar I disorder✓ Approved

Related Research Articles

PubMedCommunications biology2026-09-18

N4BP1 uses tandem KH domains to associate with EDC4 and mRNA decapping factors in P-bodies.

Piłat Paweł P, Garg Ankur A, Heinemann Udo U, Wilamowski Mateusz M et al.

Processing bodies (P-bodies) are cytoplasmic, non-membrane-bound structures involved in mRNA decay. EDC4 serves as a key scaffold for the decapping complex within P-bodies. Here, we demonstrate that N4BP1 interacts with EDC4, as well as with DCP1A, DCP2, and XRN1 - key components of 5'-cap hydrolysis. Endogenous N4BP1 colocalizes with EDC4 in P-bodies, requiring both of its KH domains. Structural analysis revealed that N4BP1 contains a type-I KH fold but lacks the canonical GXXG motif required for single-stranded RNA binding. Deletion or mutation of KH domains non-canonical GXXG motifs disrupts the N4BP1-EDC4 complex. N4BP1 reduces HIV-1 transcript levels independently of its P-body localization or association with decapping components, implying the involvement of other host factors in regulating viral mRNAs. Similarly, for N4PB1-dependend negative regulation of endogenous transcripts in HaCaT keratinocytes, EDC4 is not essential. For both HIV-1 and endogenous transcripts, the reduction is associated with the activity of the NYN domain.

PMID 42754686
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PubMedScientific data2026-09-17

Full-ocean-depth EM124 mapping of the Challenger Deep by R/V Hakuho-maru and depth-estimate sensitivity tests.

Fujii Masakazu M, Tamura Chiori C, Ohara Yasuhiko Y, Okino Kyoko K

The Challenger Deep in the Mariana Trench is the deepest known point on Earth, yet recent depth estimates still differ by several meters because of environmental and instrumental uncertainties. Here we present a new full-ocean-depth multibeam bathymetric dataset collected with a Kongsberg EM124 echosounder aboard R/V Hakuho-maru during the KH-23-9 cruise in 2023. The survey comprises east-west and north-south lines acquired at vessel speeds of 4-15 kt. Five seawater sound velocity models were constructed from contemporaneous XCTD data, historical full-depth CTD data, and a recent full-depth reference profile to test the sensitivity of depth estimates. After ping-by-ping editing and gridding, the preferred KH23XCTD+KH92CTD solution resolves three basins deeper than 10,900 m, with maximum depths of 10,926, 10,912, and 10,927 m in the western, central, and eastern basins, respectively. Alternative sound velocity models yield maximum depths from 10,914 to 10,932 m, illustrating the meter- to >10-m-scale sensitivity of full-ocean-depth multibeam estimates to the applied sound velocity structure. Cleaned point soundings, gridded bathymetric surfaces for each sound velocity model, and the gridding script are provided. The dataset enables assessment of how sound velocity structure, survey speed, and beam-footprint geometry influence depth estimates in full-ocean-depth multibeam mapping, and provides a new reference for cross-comparison of Challenger Deep bathymetry.

PMID 42749747
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PubMedPlants (Basel, Switzerland)2026-09-15

Potassium Humate and Bacillus aryabhattai Modulate Osmotic and Oxidative Homeostasis and Promote Cowpea Yield Under Drought.

Melo Eulália Margarethe da Costa EMDC, Oliveira Agda Malany Forte de AMF, Bonou Semako Ibrahim SI, Viana Priscylla Marques de Oliveira PMO et al.

Global climate change has intensified prolonged droughts, making the development of sustainable agricultural technologies essential. Although potassium humate (KH) and Bacillus aryabhattai (BA) are recognized individually as effective biostimulants, their joint application represents an innovative, unexplored complementary strategy to mitigate drought stress in cowpea (Vigna unguiculata L. Walp.). This study aimed to evaluate the effects of these bio-inputs on mitigating water stress in the cowpea (Vigna unguiculata L. Walp.) cultivar 'BRS Verdejante'. The experiment was conducted under greenhouse conditions using a completely randomized design in a 2 × 8 factorial arrangement, with two water regimes (100% and 50% crop evapotranspiration-ETc) and eight biostimulant combinations of KH and BA. While BA alone (T4) intensified osmotic adjustment via proline accumulation and APX activation, the combined treatment T5 (10 mg kg-1 soil KH + 4 mL kg-1 seed BA containing 1 × 108 CFU mL-1) achieved the best overall performance under drought (50% ETc). T5 effectively enhanced superoxide dismutase activity, preserved leaf relative water content, and reduced cell membrane electrolyte leakage by 42.6% compared to untreated stressed plants. These physiological adaptations protected reproductive organs, resulting in a 51.6% increase in pod number per plant under drought. The strategic co-application of low-dose potassium humate (10 mg kg-1 soil) and B. aryabhattai (4 mL kg-1 seed) effectively regulates osmotic and oxidative homeostasis, maintaining pod formation (+51.6%) and securing cowpea grain yield per plant under drought stress, thus serving as a promising strategy to mitigate drought stress in cowpea under controlled greenhouse conditions.

PMID 42739396
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PubMedWater research2026-09-15

Mechanism-informed hierarchical machine learning for predicting kinetic isotope effects in •OH-mediated reactions.

Wang Pin P, Luo Yidan Y, Wu Yangtao Y, Zhou Shiqing S

Deuterated compounds are increasingly applied in pharmaceuticals and agrochemicals, yet predicting their environmental transformation kinetics remains challenging because isotope-dependent kinetic data are scarce and isotope effects represent subtle perturbations superimposed on intrinsic molecular reactivity. Here, we develop a hierarchical Δ-learning framework that separates molecular reactivity into baseline reactivity and isotope-induced kinetic perturbations, enabling data-efficient prediction of kinetic isotope effects (KIEs) under limited-data conditions. The framework integrates low- and high-fidelity kinetic information through three sequential stages: learning baseline reactivity from experimental rate constants of non-deuterated compounds (kH), capturing isotope-induced perturbations from computational Δlog(k) data, and refining predictions using limited high-fidelity quantum chemical kinetic data. The framework achieves reliable predictive performance (cross-validation R2 = 0.81) and reveals pathway-associated isotope sensitivity trends related to hydrogen atom transfer (HAT) and radical adduct formation (RAF) reactions. Deuterated rate constants (kD) can be estimated by combining predicted isotope-induced perturbations with available kH values. Applications to representative environmental contaminants demonstrate that isotopic substitution can alter apparent transformation kinetics during •OH-mediated oxidation, with the magnitude of isotope effects dependent on molecular structures and reaction characteristics. Beyond KIE prediction, this work highlights a general multi-fidelity learning strategy for extracting weak mechanistic signals from limited high-quality data and provides a foundation for data-efficient screening of emerging deuterated contaminants.

PMID 42743811
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PubMedPolymers2026-09-15

Synthesis and Migration-Plugging Performance of a Novel High-Temperature Resistant Epoxy-Based Profile Control Agent for Heavy Oil Steam Flooding.

Liu Jinxiang J, Yin Xianpei X, Gao Yifei Y, Lu Xiangguo X et al.

Severe steam channeling in heterogeneous heavy oil reservoirs severely restricts thermal recovery efficiency, as conventional conformance control materials cannot simultaneously achieve long-term high-temperature resistance and deep reservoir penetration. This work develops a high-temperature-resistant epoxy-based liquid microsphere system for deep profile control in heavy oil steam flooding. A triple thermal-stabilization strategy is constructed: imide chain extension to enhance backbone rigidity, benzoxazine-phthalonitrile grafting to form dense triazine crosslinked networks, and KH-550-functionalized nano-silica for synergistic reinforcement. FT-IR and 1H NMR verify the successful incorporation of rigid imide and triazine structures. TGA confirms the optimal formulation exhibits less than 5% mass loss at 350 °C. Multi-segment sand-packed tube tests demonstrate favorable deep migration capacity with inter-stage pressure ratios below 4 across 5000-15,000 × 10-3 μm2 permeability, and the cured network retains over 95% plugging efficiency after 350 °C steam scouring. Dual-tube heterogeneous flooding delivers 12.05% incremental oil recovery, outperforming rigid inorganic particles. This system provides a high-performance candidate for deep steam channeling mitigation in heavy oil thermal recovery.

PMID 42737142
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PubMedVeterinary record open2026-09-15

Salmonella spp. in Serbian poultry production (2020-2025): Retrospective trends and farmers' perceptions of biosecurity.

Maletić Jelena J, Zdravković Nemanja N, Kureljušić Jasna J, Kureljušić Branislav B et al.

Salmonella enterica subsp. enterica remains a major zoonotic threat worldwide, with poultry products being a major source of human foodborne infections. A retrospective analysis of Salmonella spp. occurrence in Serbian poultry production was conducted using routine diagnostic data collected between 2020 and 2025. A total of 2453 samples from poultry farms, 147 from hatcheries and 3237 from broiler slaughterhouses were analysed. To complement the epidemiological investigation, a questionnaire was administered to 29 poultry farmers to assess difficulty associated with implementing measures from different biosecurity categories (BCs) and awareness of the economic consequences associated with Salmonella detection. Salmonella spp. was detected in 2.9% of farm samples and 8.4% of slaughterhouse samples, whereas all hatchery samples tested negative. Across poultry categories, broilers showed the highest positivity rate (57/977, 5.8%), followed by layers (10/588, 1.7%) and breeders (4/741, 0.5%). Serotyping was available for a subset of farm isolates, with S. Enteritidis representing the most frequent serovar (83.3%). Generalised linear mixed-effects models identified seasonality as a significant predictor of Salmonella occurrence. 'Depopulation process', 'manure and carcass removal', 'biological vector control' and 'disease management' were perceived as most challenging BCs. This study provides the first integrated assessment of Salmonella occurrence across multiple components of the Serbian poultry production chain, combining retrospective surveillance data with a farmer-based evaluation of biosecurity implementation. The findings identify critical points for Salmonella transmission and provide evidence to support targeted, context-specific biosecurity interventions.

PMID 42741581
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